With their iconic shells, turtles are morphologically distinct in being the only extant or extinct vertebrate animals to have their shoulders and hips inside their rib cages. By the time an asteroid hit the earth 65.5 million years ago, causing the extinction of dinosaurs, turtles were already an ancient lineage that was 70% through their evolutionary history to date. The remarkable evolutionary success of turtles over 220 million years is due to a combination of both conservative and effective life history traits and an essentially unchanging morphology that withstood the test of time. However, the life history traits of many species make them particularly susceptible to overharvest and habitat destruction in the modern world, and a majority of the world’s species face serious conservation challenges with several extinctions documented in modern times. The global plight of turtles is underscored by the fact that the percentage of imperiled species exceeds that of even the critically endangered primates.
Freshwater turtles, with over 260 recognized species, have become a focus on a worldwide scale for many conservation issues. This article is a synthesis of a diverse body of information on the general biology of freshwater turtles, with particular emphasis on the extensive research on ecology, life history, and behavior that has been accomplished in the last half century. Much of the research has been applicable to the aforementioned conservation challenges. The studies presented include a combination of laboratory and field experiments and observational studies on this intriguing group of animals.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reference module in life sciences","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-809633-8.01218-8","usgsCitation":"Gibbons, J.W., Lovich, J.E., and Bowden, R., 2017, Turtles: Freshwater, chap. of Reference module in life sciences, p. 462-468, https://doi.org/10.1016/B978-0-12-809633-8.01218-8.","productDescription":"7 p.","startPage":"462","endPage":"468","ipdsId":"IP-078442","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":351498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7abe4b0da30c1bfc34f","contributors":{"authors":[{"text":"Gibbons, J. Whitfield","contributorId":198690,"corporation":false,"usgs":false,"family":"Gibbons","given":"J.","email":"","middleInitial":"Whitfield","affiliations":[],"preferred":false,"id":716834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":716833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowden, R.M.","contributorId":198691,"corporation":false,"usgs":false,"family":"Bowden","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":716835,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192743,"text":"70192743 - 2017 - Geochemical variations during development of the 5.46 Ma Broadwell Mesa basaltic volcanic field, California","interactions":[],"lastModifiedDate":"2019-06-13T10:28:53","indexId":"70192743","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geochemical variations during development of the 5.46 Ma Broadwell Mesa basaltic volcanic field, California","docAbstract":"The 5.46±0.04 Ma Broadwell Mesa basalt and associated basaltic volcanic field in the western Bristol Mountains, California, formed a ~6 km2 volcanic flow field with architecture including numerous lava flows, a ~1.1 km2 lava lake, and a ~0.17 km2 cinder cone. The local number of lava flows varies from one along the margins of the field to as many as 18 that are stacked vertically, onlapped by younger flows, or are laterally adjacent to each other. Geochemical plots of 40 hand samples indicate that all lava flows are basalt and that the field is slightly compositionally zoned. Typically, there is a progressive change in composition in sequentially overlying lava flows, although in some flow sequences, the overlying flow has an “across trend” step in composition, and a few have an “against trend” step in composition. The progressive compositional change indicates that the magmatic composition evolved during the history of the field, and the “across trend” and minor “against trend” steps probably represent periods of crystal fractionation or reinjection of magma during hiatuses in eruptions. The lack of clastic sedimentary rocks or even aeolianite interstratified with the lava flows probably indicates that the Broadwell Mesa volcanic field was short-lived.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"ECSZ does it: Revisiting the Eastern California Shear Zone 2017 Desert Symposium Field Guide and Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2017 Desert Symposium","language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Buesch, D.C., 2017, Geochemical variations during development of the 5.46 Ma Broadwell Mesa basaltic volcanic field, California, in ECSZ does it: Revisiting the Eastern California Shear Zone 2017 Desert Symposium Field Guide and Proceedings, p. 103-117.","productDescription":"15 p.","startPage":"103","endPage":"117","ipdsId":"IP-084935","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":350035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347542,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org/About.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf9e4b06e28e9c22a5c","contributors":{"authors":[{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":716805,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70196267,"text":"70196267 - 2017 - Vectors, hosts, and control measures for Zika virus in the Americas","interactions":[],"lastModifiedDate":"2018-03-29T10:19:09","indexId":"70196267","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Vectors, hosts, and control measures for Zika virus in the Americas","docAbstract":"We examine Zika virus (ZIKV) from an ecological perspective and with a focus on the Americas. We assess (1) the role of wildlife in ZIKV disease ecology, (2) how mosquito behavior and biology influence disease dynamics, and (3) how nontarget species and ecosystems may be impacted by vector control programs. Our review suggests that free-ranging, non-human primates may be involved in ZIKV transmission in the Old World; however, other wildlife species likely play a limited role in maintaining or transmitting ZIKV. In the Americas, a zoonotic cycle has not yet been definitively established. Understanding behaviors and habitat tolerances of Aedes aegypti and Aedes albopictus, two ZIKV competent vectors in the Americas, will allow more accurate modeling of disease spread and facilitate targeted and effective control efforts. Vector control efforts may have direct and indirect impacts to wildlife, particularly invertebrate feeding species; however, strategies could be implemented to limit detrimental ecological effects.
","language":"English","publisher":"Springer","doi":"10.1007/s10393-017-1277-2","usgsCitation":"Thompson, S.J., Pearce, J.M., and Ramey, A.M., 2017, Vectors, hosts, and control measures for Zika virus in the Americas: EcoHealth, v. 14, no. 4, p. 821-839, https://doi.org/10.1007/s10393-017-1277-2.","productDescription":"19 p.","startPage":"821","endPage":"839","ipdsId":"IP-081673","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":352921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","scienceBaseUri":"5afee79ee4b0da30c1bfc31c","contributors":{"authors":[{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":731994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":731993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":731995,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195364,"text":"70195364 - 2017 - Correcting spacecraft jitter in HiRISE images","interactions":[],"lastModifiedDate":"2018-03-13T17:21:17","indexId":"70195364","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5650,"text":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","onlineIssn":"2194-9034","printIssn":"1682-1750","active":true,"publicationSubtype":{"id":19}},"title":"Correcting spacecraft jitter in HiRISE images","docAbstract":"Mechanical oscillations or vibrations on spacecraft, also called pointing jitter, cause geometric distortions and/or smear in high resolution digital images acquired from orbit. Geometric distortion is especially a problem with pushbroom type sensors, such as the High Resolution Imaging Science Experiment (HiRISE) instrument on board the Mars Reconnaissance Orbiter (MRO). Geometric distortions occur at a range of frequencies that may not be obvious in the image products, but can cause problems with stereo image correlation in the production of digital elevation models, and in measuring surface changes over time in orthorectified images. The HiRISE focal plane comprises a staggered array of fourteen charge-coupled devices (CCDs) with pixel IFOV of 1 microradian. The high spatial resolution of HiRISE makes it both sensitive to, and an excellent recorder of jitter. We present an algorithm using Fourier analysis to resolve the jitter function for a HiRISE image that is then used to update instrument pointing information to remove geometric distortions from the image. Implementation of the jitter analysis and image correction is performed on selected HiRISE images. Resulting corrected images and updated pointing information are made available to the public. Results show marked reduction of geometric distortions. This work has applications to similar cameras operating now, and to the design of future instruments (such as the Europa Imaging System).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: 2017 international symposium on planetary remote sensing and mapping (Volume XLII-3/W1)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2017 International Symposium on Planetary Remote Sensing and Mapping","conferenceDate":"August 13-16, 2017","conferenceLocation":"Hong Kong","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","doi":"10.5194/isprs-archives-XLII-3-W1-141-2017","usgsCitation":"Sutton, S.S., Boyd, A., Kirk, R.L., Cook, D., Backer, J., Fennema, A., Heyd, R., McEwen, A., and Mirchandani, S., 2017, Correcting spacecraft jitter in HiRISE images, in Proceedings: 2017 international symposium on planetary remote sensing and mapping (Volume XLII-3/W1), v. XLII-3/W1, Hong Kong, August 13-16, 2017, p. 141-148, https://doi.org/10.5194/isprs-archives-XLII-3-W1-141-2017.","productDescription":"8 p.","startPage":"141","endPage":"148","ipdsId":"IP-088316","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":461337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xlii-3-w1-141-2017","text":"Publisher Index Page"},{"id":351462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"XLII-3/W1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"5afee7abe4b0da30c1bfc343","contributors":{"editors":[{"text":"Wu, B.","contributorId":23362,"corporation":false,"usgs":true,"family":"Wu","given":"B.","email":"","affiliations":[],"preferred":false,"id":730983,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Di, K.","contributorId":61936,"corporation":false,"usgs":true,"family":"Di","given":"K.","email":"","affiliations":[],"preferred":false,"id":730984,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Oberst, J.","contributorId":103427,"corporation":false,"usgs":true,"family":"Oberst","given":"J.","email":"","affiliations":[],"preferred":false,"id":730985,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Karachevtseva, I.","contributorId":147166,"corporation":false,"usgs":false,"family":"Karachevtseva","given":"I.","email":"","affiliations":[],"preferred":false,"id":730986,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Sutton, S. S.","contributorId":202341,"corporation":false,"usgs":false,"family":"Sutton","given":"S.","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, A.K.","contributorId":202342,"corporation":false,"usgs":false,"family":"Boyd","given":"A.K.","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":728154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Debbie 0000-0001-9973-9929","orcid":"https://orcid.org/0000-0001-9973-9929","contributorId":202343,"corporation":false,"usgs":true,"family":"Cook","given":"Debbie","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Backer, Jean 0000-0002-6010-3867","orcid":"https://orcid.org/0000-0002-6010-3867","contributorId":202344,"corporation":false,"usgs":true,"family":"Backer","given":"Jean","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fennema, A.","contributorId":202345,"corporation":false,"usgs":false,"family":"Fennema","given":"A.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728157,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heyd, R.","contributorId":202346,"corporation":false,"usgs":false,"family":"Heyd","given":"R.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728158,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McEwen, A.S.","contributorId":202347,"corporation":false,"usgs":false,"family":"McEwen","given":"A.S.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728159,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mirchandani, S.D.","contributorId":202348,"corporation":false,"usgs":false,"family":"Mirchandani","given":"S.D.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":728160,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70195381,"text":"70195381 - 2017 - Reviews and syntheses: Field data to benchmark the carbon cycle models for tropical forests","interactions":[],"lastModifiedDate":"2020-09-01T14:26:56.11934","indexId":"70195381","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Reviews and syntheses: Field data to benchmark the carbon cycle models for tropical forests","docAbstract":"For more accurate projections of both the global carbon (C) cycle and the changing climate, a critical current need is to improve the representation of tropical forests in Earth system models. Tropical forests exchange more C, energy, and water with the atmosphere than any other class of land ecosystems. Further, tropical-forest C cycling is likely responding to the rapid global warming, intensifying water stress, and increasing atmospheric CO2 levels. Projections of the future C balance of the tropics vary widely among global models. A current effort of the modeling community, the ILAMB (International Land Model Benchmarking) project, is to compile robust observations that can be used to improve the accuracy and realism of the land models for all major biomes. Our goal with this paper is to identify field observations of tropical-forest ecosystem C stocks and fluxes, and of their long-term trends and climatic and CO2 sensitivities, that can serve this effort. We propose criteria for reference-level field data from this biome and present a set of documented examples from old-growth lowland tropical forests. We offer these as a starting point towards the goal of a regularly updated consensus set of benchmark field observations of C cycling in tropical forests.
","language":"English","publisher":"EGU","doi":"10.5194/bg-14-4663-2017","usgsCitation":"Clark, D., Asao, S., Fisher, R.A., Reed, S.C., Reich, P.B., Ryan, M.G., Wood, T.E., and Yang, X., 2017, Reviews and syntheses: Field data to benchmark the carbon cycle models for tropical forests: Biogeosciences, v. 14, p. 4663-4690, https://doi.org/10.5194/bg-14-4663-2017.","productDescription":"28 p.","startPage":"4663","endPage":"4690","ipdsId":"IP-086986","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469257,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-14-4663-2017","text":"Publisher Index Page"},{"id":351527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-23","publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc33d","contributors":{"authors":[{"text":"Clark, Deborah A.","contributorId":202368,"corporation":false,"usgs":false,"family":"Clark","given":"Deborah A.","affiliations":[{"id":36397,"text":"Department of Biology, University of Missouri-St. Louis","active":true,"usgs":false}],"preferred":false,"id":728279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asao, Shinichi","contributorId":202369,"corporation":false,"usgs":false,"family":"Asao","given":"Shinichi","email":"","affiliations":[{"id":7230,"text":"Natural Resource Ecology Laboratory, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":728280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Rosie A.","contributorId":147090,"corporation":false,"usgs":false,"family":"Fisher","given":"Rosie","email":"","middleInitial":"A.","affiliations":[{"id":16785,"text":"National Center for Atmospheric Research, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":728281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":728278,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reich, Peter B.","contributorId":202370,"corporation":false,"usgs":false,"family":"Reich","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":36398,"text":"Department of Forest Resources, University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":728282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryan, Michael G.","contributorId":202371,"corporation":false,"usgs":false,"family":"Ryan","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":33176,"text":"Rocky Mountain Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":728283,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Tana E.","contributorId":202372,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","email":"","middleInitial":"E.","affiliations":[{"id":36399,"text":"International Institute of Tropical Forestry, USDA Forest Service, Rio Piedras, PR","active":true,"usgs":false}],"preferred":false,"id":728284,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yang, Xiaojuan","contributorId":146256,"corporation":false,"usgs":false,"family":"Yang","given":"Xiaojuan","email":"","affiliations":[{"id":16649,"text":"Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN 37831-6335, USA","active":true,"usgs":false}],"preferred":false,"id":728285,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70195367,"text":"70195367 - 2017 - Community tools for cartographic and photogrammetric processing of Mars Express HRSC images","interactions":[],"lastModifiedDate":"2018-03-13T17:19:41","indexId":"70195367","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5650,"text":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","onlineIssn":"2194-9034","printIssn":"1682-1750","active":true,"publicationSubtype":{"id":19}},"title":"Community tools for cartographic and photogrammetric processing of Mars Express HRSC images","docAbstract":"The High Resolution Stereo Camera (HRSC) on the Mars Express orbiter (Neukum et al. 2004) is a multi-line pushbroom scanner that can obtain stereo and color coverage of targets in a single overpass, with pixel scales as small as 10 m at periapsis. Since commencing operations in 2004 it has imaged ~ 77 % of Mars at 20 m/pixel or better. The instrument team uses the Video Image Communication And Retrieval (VICAR) software to produce and archive a range of data products from uncalibrated and radiometrically calibrated images to controlled digital topographic models (DTMs) and orthoimages and regional mosaics of DTM and orthophoto data (Gwinner et al. 2009; 2010b; 2016). Alternatives to this highly effective standard processing pipeline are nevertheless of interest to researchers who do not have access to the full VICAR suite and may wish to make topographic products or perform other (e. g., spectrophotometric) analyses prior to the release of the highest level products. We have therefore developed software to ingest HRSC images and model their geometry in the USGS Integrated Software for Imagers and Spectrometers (ISIS3), which can be used for data preparation, geodetic control, and analysis, and the commercial photogrammetric software SOCET SET (® BAE Systems; Miller and Walker 1993; 1995) which can be used for independent production of DTMs and orthoimages.
The initial implementation of this capability utilized the then-current ISIS2 system and the generic pushbroom sensor model of SOCET SET, and was described in the DTM comparison of independent photogrammetric processing by different elements of the HRSC team (Heipke et al. 2007). A major drawback of this prototype was that neither software system then allowed for pushbroom images in which the exposure time changes from line to line. Except at periapsis, HRSC makes such timing changes every few hundred lines to accommodate changes of altitude and velocity in its elliptical orbit. As a result, it was necessary to split observations into blocks of constant exposure time, greatly increasing the effort needed to control the images and collect DTMs.
Here, we describe a substantially improved HRSC processing capability that incorporates sensor models with varying line timing in the current ISIS3 system (Sides 2017) and SOCET SET. This enormously reduces the work effort for processing most images and eliminates the artifacts that arose from segmenting them. In addition, the software takes advantage of the continuously evolving capabilities of ISIS3 and the improved image matching module NGATE (Next Generation Automatic Terrain Extraction, incorporating area and feature based algorithms, multi-image and multi-direction matching) of SOCET SET, thus greatly reducing the need for manual editing of DTM errors. We have also developed a procedure for geodetically controlling the images to Mars Orbiter Laser Altimeter (MOLA) data by registering a preliminary stereo topographic model to MOLA by using the point cloud alignment (pc_align) function of the NASA Ames Stereo Pipeline (ASP; Moratto et al. 2010). This effectively converts inter-image tiepoints into ground control points in the MOLA coordinate system. The result is improved absolute accuracy and a significant reduction in work effort relative to manual measurement of ground control. The ISIS and ASP software used are freely available; SOCET SET, is a commercial product. By the end of 2017 we expect to have ported our SOCET SET HRSC sensor model to the Community Sensor Model (CSM; Community Sensor Model Working Group 2010; Hare and Kirk 2017) standard utilized by the successor photogrammetric system SOCET GXP that is currently offered by BAE. In early 2018, we are also working with BAE to release the CSM source code under a BSD or MIT open source license.
Applying probabilistic methods to infrequent but devastating natural events is intrinsically challenging. For tsunami analyses, a suite of geophysical assessments should be in principle evaluated because of the different causes generating tsunamis (earthquakes, landslides, volcanic activity, meteorological events, and asteroid impacts) with varying mean recurrence rates. Probabilistic Tsunami Hazard Analyses (PTHAs) are conducted in different areas of the world at global, regional, and local scales with the aim of understanding tsunami hazard to inform tsunami risk reduction activities. PTHAs enhance knowledge of the potential tsunamigenic threat by estimating the probability of exceeding specific levels of tsunami intensity metrics (e.g., run-up or maximum inundation heights) within a certain period of time (exposure time) at given locations (target sites); these estimates can be summarized in hazard maps or hazard curves. This discussion presents a broad overview of PTHA, including (i) sources and mechanisms of tsunami generation, emphasizing the variety and complexity of the tsunami sources and their generation mechanisms, (ii) developments in modeling the propagation and impact of tsunami waves, and (iii) statistical procedures for tsunami hazard estimates that include the associated epistemic and aleatoric uncertainties. Key elements in understanding the potential tsunami hazard are discussed, in light of the rapid development of PTHA methods during the last decade and the globally distributed applications, including the importance of considering multiple sources, their relative intensities, probabilities of occurrence, and uncertainties in an integrated and consistent probabilistic framework.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017RG000579","usgsCitation":"Grezio, A., Babeyko, A., Baptista, M., Behrens, J., Costa, A., Davies, G., Geist, E.L., Glimsdal, S., Gonzalez, F.I., Griffin, J., Harbitz, C.B., LeVeque, R.J., Lorito, S., Løvholt, F., Omira, R., Mueller, C., Paris, R., Parsons, T.E., Polet, J., Power, W., Selva, J., Sorensen, M.B., and Thio, H., 2017, Probabilistic tsunami hazard analysis: Multiple sources and global applications: Reviews of Geophysics, v. 55, no. 4, p. 1158-1198, https://doi.org/10.1002/2017RG000579.","productDescription":"41 p.","startPage":"1158","endPage":"1198","ipdsId":"IP-088600","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461335,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017rg000579","text":"Publisher Index 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CA","active":true,"usgs":false}],"preferred":false,"id":726969,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Power, William","contributorId":201794,"corporation":false,"usgs":false,"family":"Power","given":"William","email":"","affiliations":[{"id":36364,"text":"Institute of Geological and Nuclear Sciences (GNS), Lower Hutt, New Zealand","active":true,"usgs":false}],"preferred":false,"id":726970,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Selva, Jacopo","contributorId":187461,"corporation":false,"usgs":false,"family":"Selva","given":"Jacopo","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":726971,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Sorensen, Mathilde B.","contributorId":201795,"corporation":false,"usgs":false,"family":"Sorensen","given":"Mathilde","email":"","middleInitial":"B.","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":726972,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Thio, Hong Kie","contributorId":52070,"corporation":false,"usgs":false,"family":"Thio","given":"Hong Kie","affiliations":[{"id":13386,"text":"AECOM","active":true,"usgs":false}],"preferred":false,"id":726973,"contributorType":{"id":1,"text":"Authors"},"rank":23}]}} ,{"id":70195114,"text":"70195114 - 2017 - A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts","interactions":[],"lastModifiedDate":"2018-02-07T16:51:42","indexId":"70195114","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts","docAbstract":"Many low-elevation, coral reef-lined, tropical coasts are vulnerable to the effects of climate change, sea level rise, and wave-induced flooding. The considerable morphological diversity of these coasts and the variability of the hydrodynamic forcing that they are exposed to make predicting wave-induced flooding a challenge. A process-based wave-resolving hydrodynamic model (XBeach Non-Hydrostatic, “XBNH”) was used to create a large synthetic database for use in a “Bayesian Estimator for Wave Attack in Reef Environments” (BEWARE), relating incident hydrodynamics and coral reef geomorphology to coastal flooding hazards on reef-lined coasts. Building on previous work, BEWARE improves system understanding of reef hydrodynamics by examining the intrinsic reef and extrinsic forcing factors controlling runup and flooding on reef-lined coasts. The Bayesian estimator has high predictive skill for the XBNH model outputs that are flooding indicators, and was validated for a number of available field cases. It was found that, in order to accurately predict flooding hazards, water depth over the reef flat, incident wave conditions, and reef flat width are the most essential factors, whereas other factors such as beach slope and bed friction due to the presence or absence of corals are less important. BEWARE is a potentially powerful tool for use in early warning systems or risk assessment studies, and can be used to make projections about how wave-induced flooding on coral reef-lined coasts may change due to climate change.
","language":"English","publisher":"AGU","doi":"10.1002/2017JC013204","usgsCitation":"Pearson, S.G., Storlazzi, C.D., van Dongeren, A., Tissier, M., and Reniers, A.J., 2017, A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts: Journal of Geophysical Research C: Oceans, v. 122, no. 12, p. 10099-10117, https://doi.org/10.1002/2017JC013204.","productDescription":"19 p.","startPage":"10099","endPage":"10117","ipdsId":"IP-087161","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469260,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jc013204","text":"Publisher Index Page"},{"id":438131,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7T43S20","text":"USGS data release","linkHelpText":"BEWARE database: A Bayesian-based system to assess wave-driven flooding hazards on coral reef-lined coasts"},{"id":351301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-20","publicationStatus":"PW","scienceBaseUri":"5a7c1e79e4b00f54eb229328","contributors":{"authors":[{"text":"Pearson, S. G.","contributorId":201812,"corporation":false,"usgs":false,"family":"Pearson","given":"S.","email":"","middleInitial":"G.","affiliations":[{"id":36256,"text":"TU-Delft","active":true,"usgs":false}],"preferred":false,"id":727010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Dongeren, A. R.","contributorId":201813,"corporation":false,"usgs":false,"family":"van Dongeren","given":"A. R.","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":727011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tissier, M. F. S.","contributorId":201814,"corporation":false,"usgs":false,"family":"Tissier","given":"M. F. S.","affiliations":[{"id":36256,"text":"TU-Delft","active":true,"usgs":false}],"preferred":false,"id":727012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reniers, A. J. H. M.","contributorId":201815,"corporation":false,"usgs":false,"family":"Reniers","given":"A.","email":"","middleInitial":"J. H. 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Given the herbivorous nature of manatees, ingestion of oocysts from contaminated water or seagrass is presumed to be their primary mode of infection. The objectives of this study were to investigate oocyst contamination of seagrass beds in Puerto Rico and determine the seroprevalence of T. gondii in Antillean (Trichechus manatus manatus) and Florida (T. m. latirostris) manatees. Sera or plasma from Antillean (n = 5) and Florida (n = 351) manatees were tested for T. gondii antibodies using the modified agglutination test. No T. gondii DNA was detected via PCR in seagrass samples (n = 33) collected from Puerto Rico. Seroprevalence was 0%, suggesting a lower prevalence of T. gondii in these manatee populations than previously reported. This was the first study to investigate the potential oocyst contamination of the manatee diet, and similar studies are important for understanding the epidemiology of T. gondii in herbivorous marine mammals.
","language":"English","publisher":"Inter-Research","doi":"10.3354/dao03181","usgsCitation":"Wyrosdick, H.M., Gerhold, R.W., Su, C., Mignucci-Giannoni, A.A., Bonde, R.K., Chapman, A., Riviera-Perez, C., Martinez, J., and Miller, D.L., 2017, Investigating seagrass in Toxoplasma gondii transmission in Florida (Trichechus manatus latirostris) and Antillean (T. m. manatus) manatees: Diseases of Aquatic Organisms, v. 127, no. 1, p. 65-69, https://doi.org/10.3354/dao03181.","productDescription":"5 p.","startPage":"65","endPage":"69","ipdsId":"IP-086147","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469270,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03181","text":"Publisher Index Page"},{"id":351276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e7ae4b00f54eb229330","contributors":{"authors":[{"text":"Wyrosdick, Heidi M.","contributorId":201769,"corporation":false,"usgs":false,"family":"Wyrosdick","given":"Heidi","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":726932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerhold, Richard W.","contributorId":201770,"corporation":false,"usgs":false,"family":"Gerhold","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":726933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Su, Chunlei","contributorId":167590,"corporation":false,"usgs":false,"family":"Su","given":"Chunlei","email":"","affiliations":[{"id":24765,"text":"University of Tennessee, Department of Microbiology, Knoxville, TN 37996-0845","active":true,"usgs":false}],"preferred":false,"id":726934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mignucci-Giannoni, Antonio A.","contributorId":201773,"corporation":false,"usgs":false,"family":"Mignucci-Giannoni","given":"Antonio","email":"","middleInitial":"A.","affiliations":[{"id":36251,"text":"Interamerican University of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":726938,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","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":726931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chapman, Alycia","contributorId":201771,"corporation":false,"usgs":false,"family":"Chapman","given":"Alycia","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":726935,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riviera-Perez, Carla","contributorId":201774,"corporation":false,"usgs":false,"family":"Riviera-Perez","given":"Carla","affiliations":[{"id":36251,"text":"Interamerican University of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":726939,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martinez, Jessica","contributorId":201772,"corporation":false,"usgs":false,"family":"Martinez","given":"Jessica","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":726936,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Debra L.","contributorId":192524,"corporation":false,"usgs":false,"family":"Miller","given":"Debra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":726937,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70195197,"text":"70195197 - 2017 - Decaying lava extrusion rate at El Reventador Volcano, Ecuador measured using high-resolution satellite radar","interactions":[],"lastModifiedDate":"2018-02-07T12:57:06","indexId":"70195197","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Decaying lava extrusion rate at El Reventador Volcano, Ecuador measured using high-resolution satellite radar","docAbstract":"Lava extrusion at erupting volcanoes causes rapid changes in topography and morphology on the order of tens or even hundreds of meters. Satellite radar provides a method for measuring changes in topographic height over a given time period to an accuracy of meters, either by measuring the width of radar shadow cast by steep sided features, or by measuring the difference in radar phase between two sensors separated in space. We measure height changes, and hence estimate extruded lava volume flux, at El Reventador, Ecuador, between 2011 and 2016, using data from the RADARSAT-2 and TanDEM-X satellite missions. We find that 39 new lava flows were extruded between 9 February 2012 and 24 August 2016, with a cumulative volume of 44.8M m3 dense rock equivalent and a gradually decreasing eruption rate. The average dense rock rate of lava extrusion during this time is 0.31 ± 0.02 m3 s−1, which is similar to the long-term average from 1972 to 2016. Apart from a volumetrically small dyke opening event between 9 March and 10 June 2012, lava extrusion at El Reventador is not accompanied by any significant magmatic ground deformation. We use a simple physics-based model to estimate that the volume of the magma reservoir under El Reventador is greater than 3 km3. Our lava extrusion data can be equally well fit by models representing a closed reservoir depressurising during the eruption with no magma recharge, or an open reservoir with a time-constant magma recharge rate of up to 0.35 ± 0.01 m3 s−1.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014580","usgsCitation":"Arnold, D.W., Biggs, J., Anderson, K.R., Vallejo Vargas, S., Wadge, G., Ebmeier, S.K., Naranjo, M.F., and Mothes, P., 2017, Decaying lava extrusion rate at El Reventador Volcano, Ecuador measured using high-resolution satellite radar: Journal of Geophysical Research B: Solid Earth, v. 122, no. 12, p. 9966-9988, https://doi.org/10.1002/2017JB014580.","productDescription":"23 p.","startPage":"9966","endPage":"9988","ipdsId":"IP-088140","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jb014580","text":"Publisher Index Page"},{"id":351244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"El Reventador Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.6083,\n -0.1083\n ],\n [\n -77.6667,\n -0.1083\n ],\n [\n -77.6667,\n -0.0667\n ],\n [\n -77.6083,\n -0.0667\n ],\n [\n -77.6083,\n -0.1083\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-29","publicationStatus":"PW","scienceBaseUri":"5a7c1e77e4b00f54eb22930e","contributors":{"authors":[{"text":"Arnold, D. W. D.","contributorId":202019,"corporation":false,"usgs":false,"family":"Arnold","given":"D.","email":"","middleInitial":"W. D.","affiliations":[{"id":36323,"text":"COMET, School of Earth Sciences, University of Bristol, Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":727391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggs, J.","contributorId":202020,"corporation":false,"usgs":false,"family":"Biggs","given":"J.","email":"","affiliations":[{"id":36323,"text":"COMET, School of Earth Sciences, University of Bristol, Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":727392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vallejo Vargas, S.","contributorId":202021,"corporation":false,"usgs":false,"family":"Vallejo Vargas","given":"S.","affiliations":[{"id":36324,"text":"Instituto Geofísico, Escuela Politécnica Nacional, Quito, Ecuador","active":true,"usgs":false}],"preferred":false,"id":727393,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wadge, G.","contributorId":202022,"corporation":false,"usgs":false,"family":"Wadge","given":"G.","affiliations":[{"id":36325,"text":"COMET, Department of Meteorology, University of Reading, Reading, UK","active":true,"usgs":false}],"preferred":false,"id":727394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ebmeier, S. K.","contributorId":202023,"corporation":false,"usgs":false,"family":"Ebmeier","given":"S.","email":"","middleInitial":"K.","affiliations":[{"id":36323,"text":"COMET, School of Earth Sciences, University of Bristol, Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":727395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Naranjo, M. F.","contributorId":202024,"corporation":false,"usgs":false,"family":"Naranjo","given":"M.","email":"","middleInitial":"F.","affiliations":[{"id":36324,"text":"Instituto Geofísico, Escuela Politécnica Nacional, Quito, Ecuador","active":true,"usgs":false}],"preferred":false,"id":727396,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mothes, P.","contributorId":202025,"corporation":false,"usgs":false,"family":"Mothes","given":"P.","email":"","affiliations":[{"id":36326,"text":"COMET, School of Earth and Environment, University of Leeds, Leeds, UK","active":true,"usgs":false}],"preferred":false,"id":727397,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70195374,"text":"70195374 - 2017 - Sea turtles, light pollution, and citizen science: A preliminary report","interactions":[],"lastModifiedDate":"2018-10-20T12:36:34","indexId":"70195374","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Sea turtles, light pollution, and citizen science: A preliminary report","docAbstract":"Sea turtles are an important ecological resource for Gulf Islands National Seashore’s (Gulf Islands) waters and shorelines. Regionally, sea turtles face anthropogenic threats from situations\nsuch as entanglement in fishing gear and ingestion of marine debris, as well as possible changes in sex ratios due to increasing temperatures related to human-induced global warming. Locally, light pollution from residential, commercial, and industrial neighborhoods from nearby cities impacts the entirety of Gulf Islands, which spans 160 miles along the Gulf Coast, from Florida to Mississippi, and includes critical habitat for threatened and endangered sea turtles. Because light pollution has been hypothesized to negatively impact sea turtle nesting and hatchling survival, Gulf Islands undertook an effort to understand the relationship between light pollution and sea turtles and create unique educational and outreach opportunities by launching a citizen science program called Turtle Teens Helping in the Seashore (Turtle THIS). At the onset, the Turtle THIS program had two primary goals: quantify the association between light pollution and sea turtle nesting and hatching events using rigorous scientific methods; and initiate a citizen science volunteer program to provide youth with hands-on science and environmental stewardship roles, where they also gain employable skills and career opportunities. With multiple scientific hypotheses to consider, the development of a citizen science program became crucial. Such circumstances allowed Turtle THIS to grow a volunteer and intern program, quantify hypothesized light effects on sea turtles through developed methods, and begin to gather preliminary findings.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Connections across people, place, and time: Proceedings of the 2017 George Wright Society Conference on Parks, Protected Areas, and Cultural Sites","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"George Wright Society","usgsCitation":"Afford, H., Teel, S., Nicholas, M., Stanley, T.R., and White, J., 2017, Sea turtles, light pollution, and citizen science: A preliminary report, in Connections across people, place, and time: Proceedings of the 2017 George Wright Society Conference on Parks, Protected Areas, and Cultural Sites, p. 9-15.","productDescription":"7 p.","startPage":"9","endPage":"15","ipdsId":"IP-088000","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351533,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.georgewright.org/proceedings2017"},{"id":351534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Islands National Seashore, Pensacola Beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.42645263671875,\n 30.289310339324643\n ],\n [\n -86.91146850585938,\n 30.289310339324643\n ],\n [\n -86.91146850585938,\n 30.387684205387366\n ],\n [\n -87.42645263671875,\n 30.387684205387366\n ],\n [\n -87.42645263671875,\n 30.289310339324643\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7aae4b0da30c1bfc33f","contributors":{"authors":[{"text":"Afford, Heather","contributorId":202360,"corporation":false,"usgs":false,"family":"Afford","given":"Heather","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":728240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teel, Susan","contributorId":202361,"corporation":false,"usgs":false,"family":"Teel","given":"Susan","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":728241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholas, Mark","contributorId":202362,"corporation":false,"usgs":false,"family":"Nicholas","given":"Mark","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":728242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":728239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Jeremy","contributorId":202363,"corporation":false,"usgs":false,"family":"White","given":"Jeremy","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":728243,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194514,"text":"70194514 - 2017 - Mineralogical characterization of weathered outcrops as a tool for constraining water chemistry predictions during project planning","interactions":[],"lastModifiedDate":"2017-12-06T10:45:16","indexId":"70194514","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mineralogical characterization of weathered outcrops as a tool for constraining water chemistry predictions during project planning","docAbstract":"Weathered samples from naturally exposed outcrops of troctolite associated with a magmatic\nNi-Cu sulphide deposit were characterized by synchrotron-based micro-X-ray fluorescence mapping\n(µ-XRF) and X-ray absorption spectroscopy (XAS), as well as by lab-based X-ray diffraction, electron\nmicroscopy, Raman spectroscopy and wet chemical methods. Metal mobility in weathered samples\nwas assessed using a sequential leach procedure. Results are interpreted in the context of predictions\nfor future mine water chemistry and used to refine the conceptual model for metal mobility following\nweathering of waste rock at a potential future mine site.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of IMWA 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Mine Water Association","usgsCitation":"Diedrich, T., Fix, P., and Foster, A.L., 2017, Mineralogical characterization of weathered outcrops as a tool for constraining water chemistry predictions during project planning, in Proceedings of IMWA 2017, p. 712-719.","productDescription":"8 p.","startPage":"712","endPage":"719","ipdsId":"IP-083887","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349605,"type":{"id":15,"text":"Index Page"},"url":"https://imwa.info/imwaconferencesandcongresses/proceedings/300-proceedings-2017.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a34","contributors":{"authors":[{"text":"Diedrich, Tamara","contributorId":201055,"corporation":false,"usgs":false,"family":"Diedrich","given":"Tamara","email":"","affiliations":[],"preferred":false,"id":724214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fix, Paul","contributorId":201056,"corporation":false,"usgs":false,"family":"Fix","given":"Paul","email":"","affiliations":[],"preferred":false,"id":724215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724213,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194508,"text":"70194508 - 2017 - Quantifying animal movement for caching foragers: the path identification index (PII) and cougars, Puma concolor","interactions":[],"lastModifiedDate":"2017-12-01T11:54:14","indexId":"70194508","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Quantifying animal movement for caching foragers: the path identification index (PII) and cougars, Puma concolor","title":"Quantifying animal movement for caching foragers: the path identification index (PII) and cougars, Puma concolor","docAbstract":"Relocation studies of animal movement have focused on directed versus area restricted movement, which rely on correlations between step-length and turn angles, along with a degree of stationarity through time to define behavioral states. Although these approaches may work well for grazing foraging strategies in a patchy landscape, species that do not spend a significant amount of time searching out and gathering small dispersed food items, but instead feed for short periods on large, concentrated sources or cache food result in movements that maybe difficult to analyze using turning and velocity alone. We use GPS telemetry collected from a prey-caching predator, the cougar (Puma concolor), to test whether adding additional movement metrics capturing site recursion, to the more traditional velocity and turning, improve the ability to identify behaviors. We evaluated our movement index’s ability to identify behaviors using field investigations. We further tested for statistical stationarity across behaviors for use of topographic view-sheds. We found little correlation between turn angle, velocity, tortuosity, and site fidelity and combined them into a movement index used to identify movement paths (temporally autocorrelated movements) related to fast directed movements (taxis), area restricted movements (search), and prey caching (foraging). Changes in the frequency and duration of these movements were helpful for identifying seasonal activities such as migration and denning in females. Comparison of field investigations of cougar activities to behavioral classes defined using the movement index and found an overall classification accuracy of 81%. Changes in behaviors resulted in changes in how cougars used topographic view-sheds, showing statistical non-stationarity over time. The movement index shows promise for identifying behaviors in species that frequently return to specific locations such as food caches, watering holes, or dens, and highlights the role memory and cognitive abilities may play in determining animal movements. With the addition of measures capturing site recursion the temporal structure in movements of a caching forager was revealed.","language":"English","publisher":"BioMed Central","doi":"10.1186/s40462-017-0115-z","usgsCitation":"Ironside, K.E., Mattson, D.J., Theimer, T., Jansen, B., Holton, B., Arundel, T.R., Peters, M., Sexton, J.O., and Edwards, T., 2017, Quantifying animal movement for caching foragers: the path identification index (PII) and cougars, Puma concolor: Movement Ecology, v. 5, p. 1-17, https://doi.org/10.1186/s40462-017-0115-z.","productDescription":"Article 24; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-071574","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469273,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-017-0115-z","text":"Publisher Index Page"},{"id":438141,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A93HRF","text":"USGS data release","linkHelpText":"Puma concolor GPS Telemetry and Path Identification Index (2003-2013), Southwest Region, USA"},{"id":349627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-23","publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a3b","contributors":{"authors":[{"text":"Ironside, Kirsten E. 0000-0003-1166-3793 kironside@usgs.gov","orcid":"https://orcid.org/0000-0003-1166-3793","contributorId":3379,"corporation":false,"usgs":true,"family":"Ironside","given":"Kirsten","email":"kironside@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":724176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mattson, David J.","contributorId":191920,"corporation":false,"usgs":false,"family":"Mattson","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Theimer, Tad","contributorId":191914,"corporation":false,"usgs":false,"family":"Theimer","given":"Tad","affiliations":[],"preferred":false,"id":724178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jansen, Brian","contributorId":191917,"corporation":false,"usgs":false,"family":"Jansen","given":"Brian","email":"","affiliations":[],"preferred":false,"id":724179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holton, Brandon","contributorId":191915,"corporation":false,"usgs":false,"family":"Holton","given":"Brandon","affiliations":[],"preferred":false,"id":724180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arundel, Terence R. 0000-0003-0324-4249 tarundel@usgs.gov","orcid":"https://orcid.org/0000-0003-0324-4249","contributorId":139242,"corporation":false,"usgs":true,"family":"Arundel","given":"Terence","email":"tarundel@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":724181,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peters, Michael","contributorId":191919,"corporation":false,"usgs":false,"family":"Peters","given":"Michael","email":"","affiliations":[],"preferred":false,"id":724182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sexton, Joseph O.","contributorId":191918,"corporation":false,"usgs":false,"family":"Sexton","given":"Joseph","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":724265,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":191916,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas C.","suffix":"Jr.","email":"tce@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":724183,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70194162,"text":"70194162 - 2017 - Status and conservation of Yellowstone cutthroat trout in the Greater Yellowstone Area","interactions":[],"lastModifiedDate":"2017-12-11T14:56:38","indexId":"70194162","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Status and conservation of Yellowstone cutthroat trout in the Greater Yellowstone Area","docAbstract":"No abstract available.
We report eight new U-Pb detrital zircon ages for quartzose metasedimentary rocks from four lithotectonic units of parautochthonous North America in east-central Alaska: the Healy schist, Keevy Peak Formation, and Sheep Creek Member of the Totatlanika Schist in the northern Alaska Range, and the Butte assemblage in the northwestern Yukon-Tanana Upland. Excepting 1 of 3 samples from the Healy schist, all have dominant detrital zircon populations of 1.9–1.8 Ga and a subordinate population of 2.7–2.6 Ga. Three zircons from Totatlanika Schist yield the youngest age of ca. 780 Ma. The anomalous Healy schist sample has abundant 1.6–0.9 Ga detrital zircon, as well as populations at 2.0–1.8 Ga and 2.7–2.5 Ga that overlap the ages from the rest of our samples; it has a minimum age population of ca. 1007 Ma.
Detrital zircon age populations from all but the anomalous sample are statistically similar to those from (1) other peri-Laurentian units in east-central Alaska; (2) the Snowcap assemblage in Yukon, basement of the allochthonous Yukon-Tanana terrane; (3) Neoproterozoic to Ordovician Laurentian passive margin strata in southern British Columbia, Canada; and (4) Proterozoic Laurentian Sequence C strata of northwestern Canada. Recycling of zircon from the Paleoproterozoic Great Bear magmatic zone in the Wopmay orogen and its Archean precursors could explain both the Precambrian zircon populations and arc trace element signatures of our samples. Zircon from the anomalous Healy schist sample resembles that in Nation River Formation and Adams Argillite in eastern Alaska, suggesting recycling of detritus in those units.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/L672.1","usgsCitation":"Dusel-Bacon, C., Holm-Denoma, C.S., Jones, J.V., Aleinikoff, J.N., and Mortensen, J.K., 2017, Detrital zircon geochronology of quartzose metasedimentary rocks from parautochthonous North America, east-central Alaska: Lithosphere, v. 9, no. 6, p. 927-952, https://doi.org/10.1130/L672.1.","productDescription":"28 p.","startPage":"927","endPage":"952","ipdsId":"IP-086335","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":482054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/l672.1","text":"Publisher Index Page"},{"id":349886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia, Yukon Territory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -169.013671875,\n 51.45400691005982\n ],\n [\n -120.673828125,\n 51.45400691005982\n ],\n [\n -120.673828125,\n 68.87935761076949\n ],\n [\n -169.013671875,\n 68.87935761076949\n ],\n [\n -169.013671875,\n 51.45400691005982\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-11","publicationStatus":"PW","scienceBaseUri":"5a60faf7e4b06e28e9c22a26","contributors":{"authors":[{"text":"Dusel-Bacon, Cynthia 0000-0001-8481-739X cdusel@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-739X","contributorId":2797,"corporation":false,"usgs":true,"family":"Dusel-Bacon","given":"Cynthia","email":"cdusel@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":724739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mortensen, James K.","contributorId":96794,"corporation":false,"usgs":true,"family":"Mortensen","given":"James","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":724741,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194677,"text":"70194677 - 2017 - How many Laysan Teal Anas laysanensis are on Midway Atoll? Methods for monitoring abundance after reintroduction","interactions":[],"lastModifiedDate":"2018-01-08T14:36:50","indexId":"70194677","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3764,"text":"Wildfowl","onlineIssn":"2052-6458","printIssn":"0954-6324","active":true,"publicationSubtype":{"id":10}},"displayTitle":"How many Laysan Teal Anas laysanensis are on Midway Atoll? Methods for monitoring abundance after reintroduction","title":"How many Laysan Teal Anas laysanensis are on Midway Atoll? Methods for monitoring abundance after reintroduction","docAbstract":"Wildlife managers often request a simple approach to monitor the status of species of concern. In response to that need, we used eight years of monitoring data to estimate population size and test the validity of an index for monitoring accurately the abundance of reintroduced, endangered Laysan Teal Anas laysanensis. The population was established at Midway Atoll in the Hawaiian archipelago after 42 wild birds were translocated from Laysan Island during 2004–2005. We fitted 587 birds with unique markers during 2004–2015, recorded 21,309 sightings until March 2016, and conducted standardised survey counts during 2007–2015. A modified Lincoln-Petersen mark-resight estimator and ANCOVA models were used to test the relationship between survey counts, seasonal detectability, and population abundance. Differences were found between the breeding and non-breeding seasons in detection and how maximum counts recorded related to population estimates. The results showed strong, positive correlations between the seasonal maximum counts and population estimates. The ANCOVA models supported the use of standardised bi-monthly counts of unmarked birds as a valid index to monitor trends among years within a season at Midway Atoll. The translocated population increased to 661 adult and juvenile birds (95% CI = 608–714) by 2010, then declined by 38% between 2010 and 2012 after the Toˉhoku Japan earthquake-generated tsunami inundated 41% of the atoll and triggered an Avian Botulism type C Clostridium botulinum outbreak. Following another severe botulism outbreak during 2015, the population experienced a 37% decline. Data indicated that the Midway Atoll population, like the founding Laysan Island population, is susceptible to catastrophic population declines. Consistent standardised monitoring using simple counts, in place of mark-recapture and resightings surveys, can be used to evaluate population status over the long-term. We estimate there were 314–435 Laysan Teal (95% CI for population estimate; point estimate = 375 individuals) at Midway Atoll in 2015; c. 50% of the global population. In comparison, the most recent estimate for numbers on Laysan Island was of 339 individuals in 2012 (95% CI = 265–413). We suggest that this approach can be used to validate a survey index for any marked, reintroduced resident wildlife population.
","language":"English","publisher":"Wildfowl & Wetlands Trust","usgsCitation":"Reynolds, M.H., Courtot, K., and Hatfield, J., 2017, How many Laysan Teal Anas laysanensis are on Midway Atoll? Methods for monitoring abundance after reintroduction: Wildfowl, v. 67, p. 60-71.","productDescription":"12 p.","startPage":"60","endPage":"71","ipdsId":"IP-079986","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":349950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349942,"type":{"id":15,"text":"Index Page"},"url":"https://wildfowl.wwt.org.uk/index.php/wildfowl/article/view/2664/1781"}],"otherGeospatial":"Midway Atoll","volume":"67","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf6e4b06e28e9c22a22","contributors":{"authors":[{"text":"Reynolds, Michelle H. 0000-0001-7253-8158 mreynolds@usgs.gov","orcid":"https://orcid.org/0000-0001-7253-8158","contributorId":3871,"corporation":false,"usgs":true,"family":"Reynolds","given":"Michelle","email":"mreynolds@usgs.gov","middleInitial":"H.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":724869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Courtot, Karen 0000-0002-8849-4054 kcourtot@usgs.gov","orcid":"https://orcid.org/0000-0002-8849-4054","contributorId":140002,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen","email":"kcourtot@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":724870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatfield, Jeffrey 0000-0002-6517-2925 jhatfield@usgs.gov","orcid":"https://orcid.org/0000-0002-6517-2925","contributorId":139261,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeffrey","email":"jhatfield@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":724871,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195140,"text":"70195140 - 2017 - Quake warnings, seismic culture","interactions":[],"lastModifiedDate":"2018-02-07T15:09:49","indexId":"70195140","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Quake warnings, seismic culture","docAbstract":"Since 1990, nearly one million people have died from the impacts of earthquakes. Reducing those impacts requires building a local seismic culture in which residents are aware of earthquake risks and value efforts to mitigate harm. Such efforts include earthquake early warning (EEW) systems that provide seconds to minutes notice of pending shaking. Recent events in Mexico provide an opportunity to assess performance and perception of an EEW system and highlight areas for further improvement. We have learned that EEW systems, even imperfect ones, can help people prepare for earthquakes and build local seismic culture, both beneficial in reducing earthquake-related losses.
","language":"English","publisher":"American Association for the Advancement of Science (AAAS)","doi":"10.1126/science.aar4640","usgsCitation":"Allen, R.M., Cochran, E.S., Huggins, T., Miles, S., and Otegui, D., 2017, Quake warnings, seismic culture: Science, v. 358, no. 6367, p. 1111-1111, https://doi.org/10.1126/science.aar4640.","productDescription":"1 p.","startPage":"1111","endPage":"1111","ipdsId":"IP-091994","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":351290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"358","issue":"6367","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e78e4b00f54eb22931d","contributors":{"authors":[{"text":"Allen, Richard M.","contributorId":139575,"corporation":false,"usgs":false,"family":"Allen","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":727119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":727118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huggins, Tom","contributorId":201866,"corporation":false,"usgs":false,"family":"Huggins","given":"Tom","email":"","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":727120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miles, Scott","contributorId":201867,"corporation":false,"usgs":false,"family":"Miles","given":"Scott","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":727121,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Otegui, Diego","contributorId":201868,"corporation":false,"usgs":false,"family":"Otegui","given":"Diego","email":"","affiliations":[{"id":36275,"text":"UD","active":true,"usgs":false}],"preferred":false,"id":727122,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196869,"text":"70196869 - 2017 - Conservation status assessment of an endangered insular raptor: the Sharp-shinned Hawk in Puerto Rico","interactions":[],"lastModifiedDate":"2018-05-08T13:26:23","indexId":"70196869","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Conservation status assessment of an endangered insular raptor: the Sharp-shinned Hawk in Puerto Rico","docAbstract":"Sharp‐shinned Hawks (Accipiter striatus) are forest raptors that are widely distributed in the Americas. A subspecies endemic to Puerto Rico (A. s. venator) is listed as endangered and restricted to mature and old secondary montane forests and shade coffee plantations. However, recent information about the population status and distribution of Puerto Rican Sharp‐shinned Hawks is lacking. We developed a spatial geographic distribution model for Sharp‐shinned Hawks in Puerto Rico from 33 locations collected during four breeding seasons (2013–2016) using biologically relevant landscape variables (aspect, canopy closure, elevation, rainfall, slope, and terrain roughness). Elevation accounted for 89.8% of the model fit and predicted that the greatest probability of occurrence of Sharp‐shinned Hawks in Puerto Rico (> 60%) was at elevations above 900 m. Based on our model, an estimated 56.1 km2 of habitat exists in Puerto Rico with a high probability of occurrence. This total represents ~0.6% of the island's area. Public lands included 43.8% of habitat with high probability of occurrence (24.6 km2), 96% of which was located within four protected areas. Our results suggest that Sharp‐shinned Hawks are rare in Puerto Rico and restricted to the higher elevations of the Cordillera Central. Additional research is needed to identify and address ecological limiting factors, and recovery actions are needed to avoid the extinction of this endemic island raptor.
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Subsequent sections of the chapter describe the nature and geologic setting of tar sand resources, geothermal energy resources, and coal resources. The area distribution of the energy resources of the region are depicted in the Energy Resources Map that has multiple layers that can be displayed in various arrangements. Employing this map in a separate window while reading the text will be greatly beneficial. Many geographic names are employed in the descriptions throughout this chapter. 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These reports are of interest and applicability to a broad audience in the National Park Service and others in natural resource management, including scientists, conservation and environmental constituencies, and the public. The Natural Resource Report Series is used to disseminate comprehensive information and analysis about natural resources and related topics concerning lands managed by the National Park Service. The series supports the advancement of science, informed decision-making, and the achievement of the National Park Service mission. The series also provides a forum for presenting lengthier results that may not be accepted by publications with page limitations. All manuscripts in the series receive the appropriate level of peer review to ensure that the information is scientifically credible, technically accurate, appropriately written for the intended audience, and designed and published in a professional manner. This report received formal peer review by subject-matter experts whose background and expertise put them on par technically and scientifically with the authors of the information. The peer review was led according to the Fundamental Science Practices of the U.S. Geological Survey. Views, statements, findings, conclusions, recommendations, and data in this report do not necessarily reflect views and policies of the National Park Service, U.S. Department of the Interior. Mention of trade names or commercial products does not constitute endorsement or recommendation for use by the U.S. Government. This report is available in digital format from the Gulf Coast Network website and the Natural Resource Publications Management website.
","language":"English","publisher":"National Park Service","usgsCitation":"Hop, K.D., Strassman, A.C., Sattler, S., Pyne, M., Teague, J., White, R., Ruhser, J., Hlavacek, E., and Dieck, J., 2017, National Park Service Vegetation Mapping Inventory Program: Jean Lafitte National Historical Park and Preserve Vegetation Mapping Project: Natural Resource Technical Report NPS/GULN/NRR—2017/1528, 370 p.","productDescription":"370 p.","ipdsId":"IP-086142","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":350904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349607,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2247523"}],"country":"United States","state":"Louisiana","otherGeospatial":"Jean Lafitte National Historical Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.23963928222656,\n 29.690737021847788\n ],\n [\n -90.0669479370117,\n 29.690737021847788\n ],\n [\n -90.0669479370117,\n 29.875183016261957\n ],\n [\n -90.23963928222656,\n 29.875183016261957\n ],\n [\n -90.23963928222656,\n 29.690737021847788\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a743585e4b0a9a2e9e25ca8","contributors":{"authors":[{"text":"Hop, Kevin D. 0000-0002-9928-4773 khop@usgs.gov","orcid":"https://orcid.org/0000-0002-9928-4773","contributorId":1438,"corporation":false,"usgs":true,"family":"Hop","given":"Kevin","email":"khop@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":724227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strassman, Andrew C. 0000-0002-9792-7181 astrassman@usgs.gov","orcid":"https://orcid.org/0000-0002-9792-7181","contributorId":4575,"corporation":false,"usgs":true,"family":"Strassman","given":"Andrew","email":"astrassman@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":724228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sattler, Stephanie 0000-0003-4417-2480 ssattler@usgs.gov","orcid":"https://orcid.org/0000-0003-4417-2480","contributorId":191016,"corporation":false,"usgs":true,"family":"Sattler","given":"Stephanie","email":"ssattler@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":724229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pyne, Milo","contributorId":201061,"corporation":false,"usgs":false,"family":"Pyne","given":"Milo","email":"","affiliations":[],"preferred":false,"id":724230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teague, Judy","contributorId":201062,"corporation":false,"usgs":false,"family":"Teague","given":"Judy","email":"","affiliations":[],"preferred":false,"id":724231,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Rickie","contributorId":201063,"corporation":false,"usgs":false,"family":"White","given":"Rickie","email":"","affiliations":[],"preferred":false,"id":724232,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruhser, Janis 0000-0001-9987-2578 jruhser@usgs.gov","orcid":"https://orcid.org/0000-0001-9987-2578","contributorId":149646,"corporation":false,"usgs":true,"family":"Ruhser","given":"Janis","email":"jruhser@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":724233,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":724234,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dieck, Jennifer 0000-0002-4388-4534 jdieck@usgs.gov","orcid":"https://orcid.org/0000-0002-4388-4534","contributorId":149647,"corporation":false,"usgs":true,"family":"Dieck","given":"Jennifer","email":"jdieck@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":724235,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70194119,"text":"70194119 - 2017 - Food web conceptual model","interactions":[],"lastModifiedDate":"2017-12-15T13:29:05","indexId":"70194119","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5573,"text":"Interagency Ecological Program Technical Report","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"91","title":"Food web conceptual model","docAbstract":"This chapter describes a general model of food webs within tidal wetlands and represents how physical features of the wetland affect the structure and function of the food web. This conceptual model focuses on how the food web provides support for (or may reduce support for) threatened fish species. This model is part of a suite of conceptual models designed to guide monitoring of restoration sites throughout the San Francisco Estuary (SFE), but particularly within the Sacramento-San Joaquin Delta (Delta) and Suisun Marsh. The conceptual models have been developed based on the Delta Regional Ecosystem Restoration Implementation Plan (DRERIP) models, and are designed to aid in the identification and evaluation of monitoring metrics for tidal wetland restoration projects.
Many tidal restoration sites in the Delta are being constructed to comply with environmental regulatory requirements associated with the operation of the Central Valley Project and State Water Project. These include the Biological Opinions for Delta Smelt (Hypomesus transpacificus) and salmonids (U.S. Fish and Wildlife Service 2008; National Marine Fisheries Service 2009), and the Incidental Take Permit for Longfin Smelt (Spirinchus thaleichthyes) (California Department of Fish and Wildlife 2009).
These regulatory requirements are based on the hypothesis that the decline of listed fish species is due in part to a decline in productivity of the food web (phytoplankton and zooplankton in particular) or alterations in the food web such that production is consumed by other species in the Estuary (Sommer et al. 2007; Baxter et al. 2010; Brown et al. 2016a). Intertidal wetlands and shallow subtidal habitat can be highly productive, so restoring areas of tidal wetlands may result in a net increase in productivity that will provide food web support for these fish species. However, other factors such as invasive bivalves that reduce phytoplankton and zooplankton biomass and invasive predatory fishes that may compete with or prey upon listed fishes can limit the utility of tidal wetlands for food web support (Lucas and Thompson 2012; Herbold et al. 2014).
This model utilizes information from the previous DRERIP models for Delta food webs (Durand 2008) and tidal wetlands (Kneib et al. 2008), an updated DRERIP model (Durand 2015), and the State of BayDelta Science 2016 review of recent Delta food web literature (Brown et al. 2016a).
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of tidal wetland restoration on fish: A suite of conceptual models","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"California Department of Water Resources","usgsCitation":"Hartman, R., Brown, L.R., and Hobbs, J., 2017, Food web conceptual model: Interagency Ecological Program Technical Report 91, 38 p.","productDescription":"38 p.","startPage":"143","endPage":"180","ipdsId":"IP-082772","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":350040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348890,"type":{"id":11,"text":"Document"},"url":"https://www.water.ca.gov/iep/docs/tech_rpts/TR91.Wetland_CM_2Nov2017.pdf"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faf8e4b06e28e9c22a45","contributors":{"authors":[{"text":"Hartman, Rosemary","contributorId":200388,"corporation":false,"usgs":false,"family":"Hartman","given":"Rosemary","email":"","affiliations":[],"preferred":false,"id":722155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobbs, Jim","contributorId":200389,"corporation":false,"usgs":false,"family":"Hobbs","given":"Jim","email":"","affiliations":[],"preferred":false,"id":722156,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197069,"text":"70197069 - 2017 - Natural hazards and neotectonics","interactions":[],"lastModifiedDate":"2018-06-12T13:38:25","indexId":"70197069","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Natural hazards and neotectonics","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska Fairbanks","usgsCitation":"Nokleberg, W.J., and Stone, D.B., 2017, Natural hazards and neotectonics, chap. of Dynamic geology of the Northern Cordillera (Alaska and western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-book.","productDescription":"E-book","ipdsId":"IP-074025","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":354952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354208,"type":{"id":15,"text":"Index Page"},"url":"https://scholarworks.alaska.edu/handle/11122/7994"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e62fe4b060350a15d264","contributors":{"editors":[{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":737761,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":737762,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Price, Raymond A.","contributorId":205543,"corporation":false,"usgs":false,"family":"Price","given":"Raymond","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737763,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":737764,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Stone, David B.","contributorId":193572,"corporation":false,"usgs":false,"family":"Stone","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":737765,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":735474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, David B.","contributorId":193572,"corporation":false,"usgs":false,"family":"Stone","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":735475,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193352,"text":"70193352 - 2017 - Geochemistry and mineralogy of the Dotson Zone HREE deposit in the Bokan Mountain peralkaline igneous complex, southeastern Alaska, USA","interactions":[],"lastModifiedDate":"2018-02-28T11:50:00","indexId":"70193352","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geochemistry and mineralogy of the Dotson Zone HREE deposit in the Bokan Mountain peralkaline igneous complex, southeastern Alaska, USA","docAbstract":"The Bokan Mountain igneous complex (BMIC) is a typical example of a peralkaline intrusive system that has evolved to the point of developing late stage HFSE- and REE-rich silicic pegmatites and dikes. The Dotson Zone comprises a series of felsic dikes that extend from the southeast margin of the composite pluton and may represent an important resource of critical HREEs. Petrographically, the primary igneous mineral assemblage is altered by late-igneous and hydrothermal fluids resulting in redistribution and enrichment of REEs. An area of flexure in the southeastern end of the Dotson Zone was the primary locus of enrichment as shown by the pervasive alteration and consistently high REE+Y values. We favor a model in which the dikes were emplaced concurrently with the marginal intrusions, and then altered during emplacement of the inner, main intrusion in a relatively rapid series of overlapping intrusive and late magmatic fluid-high temperature hydrothermal events as the complex cooled. A much later sodic intrusive event focused on the BMIC may have resulted in additional silica-Na-Zr-rich alteration in proximity to the pluton.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 14th SGA Biennial Meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"14th SGA Biennial Meeting","conferenceDate":"August 20-23, 2017","conferenceLocation":"Québec City, Canada","language":"English","publisher":"The Society for Geology Applied to Mineral Deposits","usgsCitation":"Taylor, C.D., Lowers, H.A., Adams, D., and Robinson, R.J., 2017, Geochemistry and mineralogy of the Dotson Zone HREE deposit in the Bokan Mountain peralkaline igneous complex, southeastern Alaska, USA, in Proceedings of the 14th SGA Biennial Meeting, Québec City, Canada, August 20-23, 2017, p. 1329-1332.","productDescription":"4 p.","startPage":"1329","endPage":"1332","ipdsId":"IP-084921","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":352128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7abe4b0da30c1bfc349","contributors":{"authors":[{"text":"Taylor, Cliff D. 0000-0001-6376-6298 ctaylor@usgs.gov","orcid":"https://orcid.org/0000-0001-6376-6298","contributorId":1283,"corporation":false,"usgs":true,"family":"Taylor","given":"Cliff","email":"ctaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, David 0000-0003-2679-2344 dadams@usgs.gov","orcid":"https://orcid.org/0000-0003-2679-2344","contributorId":199358,"corporation":false,"usgs":true,"family":"Adams","given":"David","email":"dadams@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":169,"text":"Central Mineral Resources Team","active":false,"usgs":true}],"preferred":false,"id":718795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, R. James","contributorId":199359,"corporation":false,"usgs":false,"family":"Robinson","given":"R.","email":"","middleInitial":"James","affiliations":[],"preferred":false,"id":718796,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196985,"text":"70196985 - 2017 - Diurnal feeding behavior of the American Eel Anguilla rostrata","interactions":[],"lastModifiedDate":"2018-05-14T15:54:18","indexId":"70196985","displayToPublicDate":"2017-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diurnal feeding behavior of the American Eel Anguilla rostrata","title":"Diurnal feeding behavior of the American Eel Anguilla rostrata","docAbstract":"Despite potential to structure ecosystem food webs through top-down effects, the trophic interactions of the American Eel Anguilla rostrata remain largely understudied. All previous research on the trophic ecology of American Eel in inland aquatic ecosystems has been conducted in temperate continental regions of the species' range. These studies have led to a paradigm that American Eel is a nocturnally active benthic predator, which most commonly consumes benthic invertebrates. Tropical island streams and rivers have habitats and communities that are distinct from temperate counterparts, but comprise a large portion of the adult habitat in the American Eel's range. We documented a previously undescribed diurnal feeding behavior by American Eel in a Caribbean river and demonstrate that this behavior, and a shift toward more frequent daytime feeding, is linked to periodic mass migrations of postlarvae of amphidromous fish taxa, including the Sicydiine goby Sicydiumspp. Our findings indicate that periodic mass migrations of amphidromous postlarvae could function as a potentially important food source for American Eel in tropical regions of its distribution, despite the intermittence of availability. Furthermore, this suggests that the American Eel plays an important role in the structure of tropical lotic food webs through top-down effects that are potentially augmented by instream barriers.
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