{"pageNumber":"106","pageRowStart":"2625","pageSize":"25","recordCount":10450,"records":[{"id":70190466,"text":"70190466 - 2017 - Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.)","interactions":[],"lastModifiedDate":"2023-06-23T14:39:28.289099","indexId":"70190466","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characterization of <i>Monkeypox virus</i> infection in African rope squirrels (<i>Funisciurus sp.</i>)","title":"Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.)","docAbstract":"<p><span>Monkeypox (MPX) is a zoonotic disease endemic in Central and West Africa and is caused by&nbsp;</span><i>Monkeypox virus</i><span><span>&nbsp;</span>(MPXV), the most virulent<span>&nbsp;</span></span><i>Orthopoxvirus</i><span><span>&nbsp;</span>affecting humans since the eradication of<span>&nbsp;</span></span><i>Variola virus</i><span><span>&nbsp;</span>(VARV). Many aspects of the MPXV transmission cycle, including the natural host of the virus, remain unknown. African rope squirrels (</span><i>Funisciurus spp</i><span>.) are considered potential reservoirs of MPXV, as serosurveillance data in Central Africa has confirmed the circulation of the virus in these rodent species</span><span>. In order to understand the tissue tropism and clinical signs associated with infection with MPXV in these species, wild-caught rope squirrels were experimentally infected via intranasal and intradermal exposure with a recombinant MPXV strain from Central Africa engineered to express the luciferase gene. After infection, we monitored viral replication and shedding via<span>&nbsp;</span></span><i>in vivo</i><span><span>&nbsp;</span>bioluminescent imaging, viral culture and real time PCR. MPXV infection in African rope squirrels caused mortality and moderate to severe morbidity, with clinical signs including pox lesions in the skin, eyes, mouth and nose, dyspnea, and profuse nasal discharge. Both intranasal and intradermal exposures induced high levels of viremia, fast systemic spread, and long periods of viral shedding. Shedding and luminescence peaked at day 6 post infection and was still detectable after 15 days. Interestingly, one sentinel animal, housed in the same room but in a separate cage, also developed severe MPX disease and was euthanized. This study indicates that MPXV causes significant pathology in African rope squirrels and infected rope squirrels shed large quantities of virus, supporting their role as a potential source of MPXV transmission to humans and other animals in endemic MPX regions.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pntd.0005809","usgsCitation":"Falendysz, E., Lopera, J.G., Doty, J.B., Nakazawa, Y.J., Crill, C., Lorenzsonn, F., Kalemba, L.N., Ronderos, M., Meija, A., Malekani, J.M., Karem, K.L., Caroll, D., Osorio, J.E., and Rocke, T.E., 2017, Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.): PLoS Neglected Tropical Diseases, v. 11, no. 8, p. 1-23, https://doi.org/10.1371/journal.pntd.0005809.","productDescription":"e0005809; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-087668","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469557,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0005809","text":"Publisher Index Page"},{"id":345421,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418364,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GH9GGM","text":"USGS data release","description":"USGS data release","linkHelpText":"Monkeypox challenge of rope squirrels: data"}],"country":"Republic of the Congo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              17.839769957792612,\n              0.23815024003401675\n            ],\n            [\n              17.98214158904591,\n              0.3734013322288092\n            ],\n      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G.","contributorId":7574,"corporation":false,"usgs":false,"family":"Lopera","given":"Juan","email":"","middleInitial":"G.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":709304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doty, Jeffrey B.","contributorId":196071,"corporation":false,"usgs":false,"family":"Doty","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":709305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nakazawa, Yoshinori J.","contributorId":150106,"corporation":false,"usgs":false,"family":"Nakazawa","given":"Yoshinori","email":"","middleInitial":"J.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":709306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crill, Colleen","contributorId":196072,"corporation":false,"usgs":false,"family":"Crill","given":"Colleen","email":"","affiliations":[],"preferred":false,"id":709307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lorenzsonn, Faye","contributorId":196073,"corporation":false,"usgs":false,"family":"Lorenzsonn","given":"Faye","email":"","affiliations":[],"preferred":false,"id":709308,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kalemba, Lem’s N.","contributorId":196074,"corporation":false,"usgs":false,"family":"Kalemba","given":"Lem’s","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":709309,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ronderos, Monica","contributorId":196075,"corporation":false,"usgs":false,"family":"Ronderos","given":"Monica","email":"","affiliations":[],"preferred":false,"id":709310,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meija, Andres","contributorId":196076,"corporation":false,"usgs":false,"family":"Meija","given":"Andres","email":"","affiliations":[],"preferred":false,"id":709311,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Malekani, Jean M.","contributorId":196077,"corporation":false,"usgs":false,"family":"Malekani","given":"Jean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":709312,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Karem, Kevin L.","contributorId":150111,"corporation":false,"usgs":false,"family":"Karem","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":709313,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Caroll, Darrin","contributorId":196108,"corporation":false,"usgs":false,"family":"Caroll","given":"Darrin","email":"","affiliations":[],"preferred":false,"id":709315,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Osorio, Jorge E.","contributorId":174759,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":709316,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":709314,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70193047,"text":"70193047 - 2017 - Evaluation of simple geochemical indicators of aeolian sand provenance: Late Quaternary dune fields of North America revisited","interactions":[],"lastModifiedDate":"2017-11-10T19:13:50","indexId":"70193047","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of simple geochemical indicators of aeolian sand provenance: Late Quaternary dune fields of North America revisited","docAbstract":"<p><span>Dune fields of Quaternary age occupy large areas of the world's arid and semiarid regions. Despite this, there has been surprisingly little work done on understanding dune sediment provenance, in part because many techniques are time-consuming, prone to operator error, experimental, highly specialized, expensive, or require sophisticated instrumentation. Provenance of dune sand using K/Rb and K/Ba values in K-feldspar in aeolian sands of the arid and semiarid regions of North America is tested here. Results indicate that K/Rb and K/Ba can distinguish different river sands that are sediment sources for dunes and dune fields themselves have distinctive K/Rb and K/Ba compositions. Over the Basin and Range and Great Plains regions of North America, the hypothesized sediment sources of dune fields are reviewed and assessed using K/Rb and K/Ba values in dune sands and in hypothesized source sediments. In some cases, the origins of dunes assessed in this manner are consistent with previous studies and in others, dune fields are found to have a more complex origin than previously thought. Use of K/Rb and K/Ba for provenance studies is a robust method that is inexpensive, rapid, and highly reproducible. It exploits one of the most common minerals found in dune sand, K-feldspar. The method avoids the problem of using simple concentrations of key elements that may be subject to interpretative bias due to changes in mineralogical maturity of Quaternary dune fields that occur over time.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.07.007","usgsCitation":"Muhs, D., 2017, Evaluation of simple geochemical indicators of aeolian sand provenance: Late Quaternary dune fields of North America revisited: Quaternary Science Reviews, v. 171, p. 260-296, https://doi.org/10.1016/j.quascirev.2017.07.007.","productDescription":"37 p.","startPage":"260","endPage":"296","ipdsId":"IP-076149","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":348603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"171","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c8e4b09af898c860f7","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":717750,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194096,"text":"70194096 - 2017 - New zircon (U-Th)/He and U/Pb eruption age for the Rockland tephra, western USA","interactions":[],"lastModifiedDate":"2017-11-17T10:33:47","indexId":"70194096","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"New zircon (U-Th)/He and U/Pb eruption age for the Rockland tephra, western USA","docAbstract":"<p><span>Eruption ages of a number of prominent Quaternary volcanic deposits remain inaccurately and/or imprecisely constrained, despite their importance as regional stratigraphic markers in paleo-environment reconstruction and as evidence of climate-altering eruptions. Accurately dating volcanic deposits presents challenging analytical considerations, including poor radiogenic yield, scarcity of datable minerals, and contamination of crystal populations by magma, eruption, and transport processes. One prominent example is the Rockland tephra, which erupted from the Lassen Volcanic Center in the southern Cascade arc. Despite a range in published eruption ages from 0.40 to 0.63 Ma, the Rockland tephra is extensively used as a marker bed across the western United States. To more accurately and precisely constrain the age of the Rockland tephra-producing eruption, we report U/Pb crystallization dates from the outermost ∼2&nbsp;μm of zircon crystal faces (surfaces) using secondary ion mass spectrometry (SIMS). Our new weighted mean&nbsp;</span><sup>238</sup><span>U/</span><sup>206</sup><span>Pb age for Rockland tephra zircon surfaces is 0.598&nbsp;±&nbsp;0.013 Ma (2σ) and MSWD&nbsp;=&nbsp;1.11 (mean square weighted deviation). As an independent test of the accuracy of this age, we obtained new (U-Th)/He dates from individual zircon grains from the Rockland tephra, which yielded a weighted mean age of 0.599&nbsp;±&nbsp;0.012 Ma (2σ, MSWD&nbsp;=&nbsp;5.13). We also obtained a (U-Th)/He age of 0.628&nbsp;±&nbsp;0.014 Ma (MSWD&nbsp;=&nbsp;1.19) for the Lava Creek Tuff member B, which was analyzed as a secondary standard to test the accuracy of the (U-Th)/He technique for Quaternary tephras, and to evaluate assumptions made in the model-age calculation. Concordance of new U/Pb and (U-Th)/He zircon ages reinforces the accuracy of our preferred Rockland tephra eruption age, and confirms that zircon surface dates sample zircon growth up to the time of eruption. We demonstrate the broad applicability of coupled U/Pb zircon-surface and single-grain zircon (U-Th)/He geochronology to accurate dating of Quaternary tephra, and highlight the challenges and opportunities of this technique.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.08.004","usgsCitation":"Coble, M.A., Burgess, S.D., and Klemetti, E.W., 2017, New zircon (U-Th)/He and U/Pb eruption age for the Rockland tephra, western USA: Quaternary Science Reviews, v. 172, p. 109-117, https://doi.org/10.1016/j.quascirev.2017.08.004.","productDescription":"9 p.","startPage":"109","endPage":"117","ipdsId":"IP-079677","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469567,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2017.08.004","text":"Publisher Index Page"},{"id":349050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"172","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb4","contributors":{"authors":[{"text":"Coble, Matthew A.","contributorId":200372,"corporation":false,"usgs":false,"family":"Coble","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgess, Seth D. 0000-0002-4238-3797 sburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-4238-3797","contributorId":200371,"corporation":false,"usgs":true,"family":"Burgess","given":"Seth","email":"sburgess@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":722101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klemetti, Erik W.","contributorId":139092,"corporation":false,"usgs":false,"family":"Klemetti","given":"Erik","email":"","middleInitial":"W.","affiliations":[{"id":12650,"text":"Denison University","active":true,"usgs":false}],"preferred":false,"id":722103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191175,"text":"70191175 - 2017 - Crossing boundaries in a collaborative modeling workspace","interactions":[],"lastModifiedDate":"2017-09-28T13:14:42","indexId":"70191175","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Crossing boundaries in a collaborative modeling workspace","docAbstract":"<p><span>There is substantial literature on the importance of bridging across disciplinary and science–management boundaries. One of the ways commonly suggested to cross boundaries is for participants from both sides of the boundary to jointly produce information (i.e., knowledge co-production). But simply providing tools or bringing people together in the same room is not sufficient. Here we present a case study documenting the mechanisms by which managers and scientists collaborated to incorporate climate change projections into Colorado’s State Wildlife Action Plan. A critical component of the project was the use of a collaborative modeling and visualization workspace: the U.S. Geological Survey’s Resource for Advanced Modeling (RAM). Using video analysis and pre/post surveys from this case study, we examine how the RAM facilitated cognitive and social processes that co-produced a more salient and credible end product. This case provides practical suggestions to scientists and practitioners who want to implement actionable science.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2017.1290178","usgsCitation":"Morisette, J.T., Cravens, A.E., Miller, B., Talbert, M., Talbert, C., Jarnevich, C.S., Fink, M., Decker, K., and Odell, E., 2017, Crossing boundaries in a collaborative modeling workspace: Society and Natural Resources, v. 30, no. 9, p. 1158-1167, https://doi.org/10.1080/08941920.2017.1290178.","productDescription":"10 p.","startPage":"1158","endPage":"1167","ipdsId":"IP-081405","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":346161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-10","publicationStatus":"PW","scienceBaseUri":"59ce0a2be4b05fe04cc02108","contributors":{"authors":[{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":711420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":195418,"corporation":false,"usgs":true,"family":"Miller","given":"Brian W.","email":"bwmiller@usgs.gov","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":711425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbert, Marian","contributorId":196751,"corporation":false,"usgs":false,"family":"Talbert","given":"Marian","affiliations":[],"preferred":false,"id":711421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbert, Colin 0000-0002-9505-1876 talbertc@usgs.gov","orcid":"https://orcid.org/0000-0002-9505-1876","contributorId":181913,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fink, Michelle","contributorId":196753,"corporation":false,"usgs":false,"family":"Fink","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":711426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Decker, Karin","contributorId":196754,"corporation":false,"usgs":false,"family":"Decker","given":"Karin","email":"","affiliations":[],"preferred":false,"id":711427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Odell, Eric","contributorId":196755,"corporation":false,"usgs":false,"family":"Odell","given":"Eric","email":"","affiliations":[],"preferred":false,"id":711428,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70190314,"text":"70190314 - 2017 - Optimization of human, animal, and environmental health by using the One Health approach","interactions":[],"lastModifiedDate":"2021-04-06T14:13:48.166633","indexId":"70190314","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5499,"text":"Journal of Veterinary Science","active":true,"publicationSubtype":{"id":10}},"title":"Optimization of human, animal, and environmental health by using the One Health approach","docAbstract":"<p><span>Emerging diseases are increasing burdens on public health, negatively affecting the world economy, causing extinction of species, and disrupting ecological integrity. One Health recognizes that human, domestic animal, and wildlife health are interconnected within ecosystem health and provides a framework for the development of multidisciplinary solutions to global health challenges. To date, most health-promoting interventions have focused largely on single-sector outcomes. For example, risk for transmission of zoonotic pathogens from bush-meat hunting is primarily focused on human hygiene and personal protection. However, bush-meat hunting is a complex issue promoting the need for holistic strategies to reduce transmission of zoonotic disease while addressing food security and wildlife conservation issues. Temporal and spatial separation of humans and wildlife, risk communication, and other preventative strategies should allow wildlife and humans to co-exist. Upstream surveillance, vaccination, and other tools to prevent pathogen spillover are also needed. Clear multi-sector outcomes should be defined, and a systems-based approach is needed to develop interventions that reduce risks and balance the needs of humans, wildlife, and the environment. The ultimate goal is long-term action to reduce forces driving emerging diseases and provide interdisciplinary scientific approaches to management of risks, thereby achieving optimal outcomes for human, animal, and environmental health.</span></p>","language":"English","publisher":"The Korean Society of Veterinary Science","doi":"10.4142/jvs.2017.18.S1.263","usgsCitation":"Sleeman, J.M., DeLiberto, T., and Nguyen, N.T., 2017, Optimization of human, animal, and environmental health by using the One Health approach: Journal of Veterinary Science, v. 18, no. S1, p. 263-268, https://doi.org/10.4142/jvs.2017.18.S1.263.","productDescription":"6 p.","startPage":"263","endPage":"268","ipdsId":"IP-087569","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4142/jvs.2017.18.s1.263","text":"Publisher Index Page"},{"id":345865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"S1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c0db1de4b091459a5f472e","contributors":{"authors":[{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":708400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLiberto, Thomas J.","contributorId":139362,"corporation":false,"usgs":false,"family":"DeLiberto","given":"Thomas J.","affiliations":[{"id":12749,"text":"USDA APHIS National Wildlife Research Center, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":708402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nguyen, Natalie T. 0000-0001-9389-1655 ntnguyen@usgs.gov","orcid":"https://orcid.org/0000-0001-9389-1655","contributorId":195838,"corporation":false,"usgs":true,"family":"Nguyen","given":"Natalie","email":"ntnguyen@usgs.gov","middleInitial":"T.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":708401,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192142,"text":"70192142 - 2017 - Interactive effects of deer exclusion and exotic plant removal on deciduous forest understory communities","interactions":[],"lastModifiedDate":"2017-11-06T12:34:45","indexId":"70192142","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5538,"text":"AoB PLANTS","active":true,"publicationSubtype":{"id":10}},"title":"Interactive effects of deer exclusion and exotic plant removal on deciduous forest understory communities","docAbstract":"<p><span>Mammalian herbivory and exotic plant species interactions are an important ongoing research topic, due to their presumed impacts on native biodiversity. The extent to which these interactions affect forest understory plant community composition and persistence was the subject of our study. We conducted a 5-year, 2 × 2 factorial experiment in three mid-Atlantic US deciduous forests with high densities of white-tailed deer (</span><i>Odocoileus virginianus</i><span>) and exotic understory plants. We predicted: (i) only deer exclusion and exotic plant removal in tandem would increase native plant species metrics; and (ii) deer exclusion alone would decrease exotic plant abundance over time. Treatments combining exotic invasive plant removal and deer exclusion for plots with high initial cover, while not differing from fenced or exotic removal only plots, were the only ones to exhibit positive richness responses by native herbaceous plants compared to control plots. Woody seedling metrics were not affected by any treatments. Deer exclusion caused significant increases in abundance and richness of native woody species &gt;30 cm in height. Abundance changes in two focal members of the native sapling community showed that oaks (</span><i>Quercus</i><span><span>&nbsp;</span>spp.) increased only with combined exotic removal and deer exclusion, while shade-tolerant maples (</span><i>Acer</i><span><span>&nbsp;</span>spp.) showed no changes. We also found significant declines in invasive Japanese stiltgrass (</span><i>Microstegium vimineum</i><span>) abundance in deer-excluded plots. Our study demonstrates alien invasive plants and deer impact different components and life-history stages of the forest plant community, and controlling both is needed to enhance understory richness and abundance. Alien plant removal combined with deer exclusion will most benefit native herbaceous species richness under high invasive cover conditions while neither action may impact native woody seedlings. For larger native woody species, only deer exclusion is needed for such increases. Deer exclusion directly facilitated declines in invasive species abundance. Resource managers should consider addressing both factors to achieve their forest management goals.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/aobpla/plx046","usgsCitation":"Bourg, N., McShea, W.J., Herrmann, V., and Stewart, C.M., 2017, Interactive effects of deer exclusion and exotic plant removal on deciduous forest understory communities: AoB PLANTS, v. 9, no. 5, p. 1-16, https://doi.org/10.1093/aobpla/plx046.","productDescription":"plx046; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-086985","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/aobpla/plx046","text":"Publisher Index Page"},{"id":348268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","volume":"9","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-07","publicationStatus":"PW","scienceBaseUri":"5a07e88be4b09af898c8cb87","contributors":{"authors":[{"text":"Bourg, Norman 0000-0002-7443-1992 nbourg@usgs.gov","orcid":"https://orcid.org/0000-0002-7443-1992","contributorId":197809,"corporation":false,"usgs":true,"family":"Bourg","given":"Norman","email":"nbourg@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McShea, William J.","contributorId":197834,"corporation":false,"usgs":false,"family":"McShea","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrmann, Valentine","contributorId":181782,"corporation":false,"usgs":false,"family":"Herrmann","given":"Valentine","email":"","affiliations":[],"preferred":false,"id":714436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Chad M.","contributorId":197857,"corporation":false,"usgs":false,"family":"Stewart","given":"Chad","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714437,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194621,"text":"70194621 - 2017 - Comparison of acoustic recorders and field observers for monitoring tundra bird communities","interactions":[],"lastModifiedDate":"2018-03-29T15:57:27","indexId":"70194621","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of acoustic recorders and field observers for monitoring tundra bird communities","docAbstract":"<p><span>Acoustic recorders can be useful for studying bird populations but their efficiency and accuracy should be assessed in pertinent ecological settings before use. We investigated the utility of an acoustic recorder for monitoring abundance of tundra‐breeding birds relative to point‐count surveys in northwestern Alaska, USA, during 2014. Our objectives were to 1) compare numbers of birds and species detected by a field observer with those detected simultaneously by an acoustic recorder; 2) evaluate how detection probabilities for the observer and acoustic recorder varied with distance of birds from the survey point; and 3) evaluate whether avian guild‐specific detection rates differed between field observers and acoustic recorders relative to habitat. Compared with the observer, the acoustic recorder detected fewer species (β</span><sub>Method</sub><span> = −0.39 ± 0.07) and fewer individuals (β</span><sub>Method</sub><span> = −0.56 ± 0.05) in total and for 6 avian guilds. Discrepancies were attributed primarily to differences in effective area surveyed (91% missed by device were &gt;100 m), but also to nonvocal birds being missed by the recorder (55% missed &lt;100 m were silent). The observer missed a few individuals and one species detected by the device. Models indicated that relative abundance of various avian guilds was associated primarily with maximum shrub height and less so with shrub cover and visual obstruction. The absence of a significant interaction between survey method (observer<span>&nbsp;</span></span><i>vs</i><span>. acoustic recorder) and any habitat characteristic suggests that traditional point counts and acoustic recorders would yield similar inferences about ecological relationships in tundra ecosystems. Pairing of the 2 methods could increase survey efficiency and allow for validation and archival of survey results.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.785","usgsCitation":"Vold, S.T., Handel, C.M., and McNew, L.B., 2017, Comparison of acoustic recorders and field observers for monitoring tundra bird communities: Wildlife Society Bulletin, v. 41, no. 3, p. 566-576, https://doi.org/10.1002/wsb.785.","productDescription":"11 p.","startPage":"566","endPage":"576","ipdsId":"IP-076226","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":500001,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/e1da09f62c874b1b8e656f413aa1edef","text":"External Repository"},{"id":352970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.519287109375,\n              64.26845392293136\n            ],\n            [\n              -161.488037109375,\n              64.26845392293136\n            ],\n            [\n              -161.488037109375,\n              66.67473718353055\n            ],\n            [\n              -168.519287109375,\n              66.67473718353055\n            ],\n            [\n              -168.519287109375,\n              64.26845392293136\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-26","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3d6","contributors":{"authors":[{"text":"Vold, Skyler T.","contributorId":201220,"corporation":false,"usgs":false,"family":"Vold","given":"Skyler","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":724654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":724653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNew, Lance B.","contributorId":190322,"corporation":false,"usgs":false,"family":"McNew","given":"Lance","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":724655,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190682,"text":"70190682 - 2017 - Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep","interactions":[],"lastModifiedDate":"2017-09-12T11:56:22","indexId":"70190682","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep","docAbstract":"<ol id=\"jane12664-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Understanding both contact and probability of transmission given contact are key to managing wildlife disease. However, wildlife disease research tends to focus on contact heterogeneity, in part because the probability of transmission given contact is notoriously difficult to measure. Here, we present a first step towards empirically investigating the probability of transmission given contact in free-ranging wildlife.</li><li>We used measured contact networks to test whether bighorn sheep demographic states vary systematically in infectiousness or susceptibility to<span>&nbsp;</span><i>Mycoplasma ovipneumoniae</i>, an agent responsible for bighorn sheep pneumonia.</li><li>We built covariates using contact network metrics, demographic information and infection status, and used logistic regression to relate those covariates to lamb survival. The covariate set contained degree, a classic network metric describing node centrality, but also included covariates breaking the network metrics into subsets that differentiated between contacts with yearlings, ewes with lambs, and ewes without lambs, and animals with and without active infections.</li><li>Yearlings, ewes with lambs, and ewes without lambs showed similar group membership patterns, but direct interactions involving touch occurred at a rate two orders of magnitude higher between lambs and reproductive ewes than between any classes of adults or yearlings, and one order of magnitude higher than direct interactions between multiple lambs.</li><li>Although yearlings and non-reproductive bighorn ewes regularly carried<span>&nbsp;</span><i>M. ovipneumoniae</i>, our models suggest that a contact with an infected reproductive ewe had approximately five times the odds of producing a lamb mortality event of an identical contact with an infected dry ewe or yearling. Consequently, management actions targeting infected animals might lead to unnecessary removal of young animals that carry pathogens but rarely transmit.</li><li>This analysis demonstrates a simple logistic regression approach for testing<span>&nbsp;</span><i>a priori</i>hypotheses about variation in the odds of transmission given contact for free-ranging hosts, and may be broadly applicable for investigations in wildlife disease ecology.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12664","usgsCitation":"Manlove, K.R., Cassirer, E.F., Plowright, R., Cross, P.C., and Hudson, P., 2017, Contact and contagion: Probability of transmission given contact varies with demographic state in bighorn sheep: Journal of Animal Ecology, v. 86, no. 4, p. 908-920, https://doi.org/10.1111/1365-2656.12664.","productDescription":"13 p.","startPage":"908","endPage":"920","ipdsId":"IP-079432","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":469569,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12664","text":"Publisher Index Page"},{"id":345646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-05-02","publicationStatus":"PW","scienceBaseUri":"59b8f21de4b08b1644e0aed9","contributors":{"authors":[{"text":"Manlove, Kezia R.","contributorId":74651,"corporation":false,"usgs":true,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":710157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cassirer, E. Frances","contributorId":23404,"corporation":false,"usgs":true,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":710158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plowright, Raina K.","contributorId":23038,"corporation":false,"usgs":true,"family":"Plowright","given":"Raina K.","affiliations":[],"preferred":false,"id":710159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":710160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Peter J.","contributorId":85056,"corporation":false,"usgs":true,"family":"Hudson","given":"Peter J.","affiliations":[],"preferred":false,"id":710161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190429,"text":"70190429 - 2017 - Long-term dynamics and characteristics of snags created for wildlife habitat","interactions":[],"lastModifiedDate":"2017-11-22T16:50:20","indexId":"70190429","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Long-term dynamics and characteristics of snags created for wildlife habitat","docAbstract":"<p><span>Snags provide essential habitat for numerous organisms and are therefore critical to the long-term maintenance of forest biodiversity. Resource managers often use snag creation to mitigate the purposeful removal of snags at the time of harvest, but information regarding how created snags change over long timescales (&gt;20</span><span>&nbsp;</span><span>y) is absent from the literature. In this study, we evaluated the extent to which characteristics of large (&gt;30</span><span>&nbsp;</span><span>cm diameter at breast height [DBH]) Douglas-fir (</span><i>Pseudotsuga menziesii</i><span>) snags created by topping had changed after 25–27</span><span>&nbsp;</span><span>y. We also tested whether different harvest treatments and snag configurations influenced present-day snag characteristics. Of 690 snags created in 1989–1991, 91% remained standing during contemporary surveys and 65% remained unbroken along the bole. Although most snags were standing, we detected increased bark loss and breaking along the bole relative to prior surveys conducted on the same pool of snags. Although snag characteristics were not strongly influenced by snag configuration, we found that snags in one harvest treatment (group selection) experienced less bark loss and had lower evidence of use by cavity-nesting birds (as measured by total cavity cover) relative to snags created with clearcut and two-story harvest treatments. Our results indicate that Douglas-fir snags created by topping can remain standing for long time-periods (≥25</span><span>&nbsp;</span><span>y) in managed forests, and that the influence of harvest treatment on decay patterns and subsequent use by wildlife is an important consideration when intentionally creating snags for wildlife habitat.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.07.049","usgsCitation":"Barry, A.M., Hagar, J., and Rivers, J.W., 2017, Long-term dynamics and characteristics of snags created for wildlife habitat: Forest Ecology and Management, v. 403, no. 1, p. 145-151, https://doi.org/10.1016/j.foreco.2017.07.049.","productDescription":"7 p.","startPage":"145","endPage":"151","ipdsId":"IP-087640","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469576,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2017.07.049","text":"Publisher Index Page"},{"id":438231,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75M64MC","text":"USGS data release","linkHelpText":"Created snag characteristics and cavity-nesting bird associations in the CFIRP stands, McDonald-Dunn Research Forest, Corvallis, OR, USA, 2016"},{"id":345380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"403","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a9203fe4b07e1a023ccda0","contributors":{"authors":[{"text":"Barry, Amy M.","contributorId":196050,"corporation":false,"usgs":false,"family":"Barry","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":709119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":709118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rivers, James W.","contributorId":23072,"corporation":false,"usgs":false,"family":"Rivers","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":709120,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197038,"text":"70197038 - 2017 - Hydrologic regimes as potential drivers of morphologic divergence in fish","interactions":[],"lastModifiedDate":"2018-05-15T08:50:08","indexId":"70197038","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1603,"text":"Evolutionary Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic regimes as potential drivers of morphologic divergence in fish","docAbstract":"<p><span>Fishes often exhibit phenotypic divergence across gradients of abiotic and biotic selective pressures. In streams, many of the known selective pressures driving phenotypic differentiation are largely influenced by hydrologic regimes. Because flow regimes drive so many attributes of lotic systems, we hypothesized fish exhibit phenotypic divergence among streams with different flow regimes. We used a comparative field study to investigate the morphological divergence of&nbsp;</span><i class=\"EmphasisTypeItalic \">Campostoma anomalom</i><span><span>&nbsp;</span>(central stonerollers) among streams characterized by highly variable, intermittent flow regimes and streams characterized by relatively stable, groundwater flow regimes. We also conducted a mesocosm experiment to compare the plastic effects of one component of flow regimes, water velocity, on morphology of fish from different flow regimes. We observed differences in shape between flow regimes likely driven by differences in allometric growth patterns. Although we observed differences in morphology across flow regimes in the field,<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">C. anomalum</i><span><span>&nbsp;</span>did not exhibit morphologic plasticity in response to water velocity alone. This study contributes to the understanding of how complex environmental factors drive phenotypic divergence and may provide insight into the evolutionary consequences of disrupting natural hydrologic patterns, which are increasingly threatened by climate change and anthropogenic alterations.</span></p>","language":"English","publisher":"Springer International","doi":"10.1007/s10682-017-9897-0","usgsCitation":"Bruckerhoff, L., and Magoulick, D.D., 2017, Hydrologic regimes as potential drivers of morphologic divergence in fish: Evolutionary Ecology, v. 31, no. 4, p. 517-531, https://doi.org/10.1007/s10682-017-9897-0.","productDescription":"14 p.","startPage":"517","endPage":"531","ipdsId":"IP-073023","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-28","publicationStatus":"PW","scienceBaseUri":"5afee805e4b0da30c1bfc3de","contributors":{"authors":[{"text":"Bruckerhoff, Lindsey","contributorId":204873,"corporation":false,"usgs":false,"family":"Bruckerhoff","given":"Lindsey","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":735327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735326,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190442,"text":"70190442 - 2017 - Extension of the analytical window for characterizing aromatic compounds in oils using a comprehensive suite of high-resolution mass spectrometry techniques and double bond equivalence versus carbon number plot","interactions":[],"lastModifiedDate":"2017-08-31T12:20:21","indexId":"70190442","displayToPublicDate":"2017-08-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1506,"text":"Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Extension of the analytical window for characterizing aromatic compounds in oils using a comprehensive suite of high-resolution mass spectrometry techniques and double bond equivalence versus carbon number plot","docAbstract":"<p><span>In this study, comprehensive two-dimensional (2D) gas chromatography–mass spectrometry (GC–MS), atmospheric pressure photoionization (APPI) quadrupole-Orbitrap mass spectrometry (MS), and Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) were used to study the aromatic fractions of crude oil and oil shale pyrolysates (shale oils). The collected data were compared and combined in the double bond equivalence (DBE) versus carbon number plot to obtain a more complete understanding of the composition of the oil fractions. The numbers of peaks observed by each technique followed the order 2D GC–MS &lt; Orbitrap MS &lt; FT-ICR MS. The class distributions observed by Orbitrap MS and FT-ICR MS were similar to each other but different from that observed by 2D GC–MS. The DBE and carbon number distributions of the 2D GC–MS and Orbitrap MS data were similar for crude oil aromatics. The FT-ICR MS plots of DBE and carbon number showed an extended range of higher values relative to the other methods. For the aromatic fraction of an oil shale pyrolysate generated by the Fischer assay, only a few nitrogen-containing compounds were observed by 2D GC–MS but a large number of these compounds were detected by Orbitrap MS and FT-ICR MS. This comparison clearly shows that the data obtained from these three techniques can be combined to more completely characterize oil composition. The data obtained by Orbitrap MS and FT-ICR MS agreed well with one another, and the combined DBE versus carbon number plot provided more complete coverage of compounds present in the fractions. In addition, the chemical structure information provided by 2D GC–MS could be matched with the chemical formulas in the DBE versus carbon number plots, providing information not available in ultrahigh-resolution MS results. It was therefore concluded that the combination of 2D GC–MS, Orbitrap MS, and FT-ICR MS in the DBE versus carbon number space facilitates structural assignment of heavy oil components.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.energyfuels.7b00962","usgsCitation":"Cho, Y., Birdwell, J.E., Hur, M., Lee, J., Kim, B., and Kim, S., 2017, Extension of the analytical window for characterizing aromatic compounds in oils using a comprehensive suite of high-resolution mass spectrometry techniques and double bond equivalence versus carbon number plot: Energy & Fuels, v. 31, no. 8, p. 7874-7883, https://doi.org/10.1021/acs.energyfuels.7b00962.","productDescription":"10 p.","startPage":"7874","endPage":"7883","ipdsId":"IP-085425","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":345390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","scienceBaseUri":"59a9203ee4b07e1a023ccd99","contributors":{"authors":[{"text":"Cho, Yunju","contributorId":127785,"corporation":false,"usgs":false,"family":"Cho","given":"Yunju","email":"","affiliations":[{"id":7153,"text":"Kyungpook National University, Department of Chemistry, Daegu, South Korea","active":true,"usgs":false}],"preferred":false,"id":709161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":709160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hur, Manhoi","contributorId":177161,"corporation":false,"usgs":false,"family":"Hur","given":"Manhoi","email":"","affiliations":[],"preferred":false,"id":709164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Joonhee","contributorId":196065,"corporation":false,"usgs":false,"family":"Lee","given":"Joonhee","email":"","affiliations":[],"preferred":false,"id":709165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kim, Byungjoo","contributorId":196063,"corporation":false,"usgs":false,"family":"Kim","given":"Byungjoo","email":"","affiliations":[],"preferred":false,"id":709162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Sunghwan","contributorId":196064,"corporation":false,"usgs":false,"family":"Kim","given":"Sunghwan","email":"","affiliations":[],"preferred":false,"id":709163,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190343,"text":"70190343 - 2017 - Biotic and abiotic factors influencing zooplankton vertical distribution in Lake Huron","interactions":[],"lastModifiedDate":"2017-11-29T16:34:48","indexId":"70190343","displayToPublicDate":"2017-08-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Biotic and abiotic factors influencing zooplankton vertical distribution in Lake Huron","docAbstract":"<p><span>The vertical distribution of zooplankton can have substantial influence on trophic structure in freshwater systems, particularly by determining spatial overlap for predator/prey dynamics and influencing energy transfer. The zooplankton community in some of the Laurentian Great Lakes has undergone changes in composition and declines in total biomass, especially after 2003. Mechanisms underlying these zooplankton changes remain poorly understood, in part, because few studies have described their vertical distributions during daytime and nighttime conditions or evaluated the extent to which predation, resources, or environmental conditions could explain their distribution patterns. Within multiple 24-h periods during July through October 2012 in Lake Huron, we conducted daytime and nighttime sampling of zooplankton, and measured food (chlorophyll-</span><i>a</i><span>), temperature, light (Secchi disk depth), and planktivory (biomass of<span>&nbsp;</span></span><i>Bythotrephes longimanus</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>Mysis diluviana</i><span>). We used linear mixed models to determine whether the densities for 22 zooplankton taxa varied between day and night in the epi-, meta-, and hypolimnion. For eight taxa, higher epilimnetic densities were observed at night than during the day; general linear models revealed these patterns were best explained by<span>&nbsp;</span></span><i>Mysis diluviana</i><span><span>&nbsp;</span>(four taxa), Secchi disk depth (three taxa), epilimnetic water temperature (three taxa), chlorophyll (one taxon), and biomass of<span>&nbsp;</span></span><i>Bythotrephes longimanus</i><span><span>&nbsp;</span>(one taxon). By investigating the potential effects of both biotic and abiotic variables on the vertical distribution of crustacean zooplankton and rotifers, we provide descriptions of the Lake Huron zooplankton community and discuss how future changes in food web dynamics or climate change may alter zooplankton distribution in freshwater environments.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.08.004","usgsCitation":"Nowicki, C.J., Bunnell, D., Dieter, P.M., Warner, D.M., Vanderploeg, H.A., Cavaletto, J.F., Mayer, C.M., and Adams, J.V., 2017, Biotic and abiotic factors influencing zooplankton vertical distribution in Lake Huron: Journal of Great Lakes Research, v. 43, no. 6, p. 1044-1054, https://doi.org/10.1016/j.jglr.2017.08.004.","productDescription":"11 p.","startPage":"1044","endPage":"1054","ipdsId":"IP-077143","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469582,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.08.004","text":"Publisher Index Page"},{"id":345246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a67d3fe4b0fd9b77ce477e","contributors":{"authors":[{"text":"Nowicki, Carly J.","contributorId":195889,"corporation":false,"usgs":false,"family":"Nowicki","given":"Carly","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":708599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieter, Patricia M. 0000-0003-1686-2679 parmenio@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":5289,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","email":"parmenio@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, David M. 0000-0003-4939-5368 dmwarner@usgs.gov","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":2986,"corporation":false,"usgs":true,"family":"Warner","given":"David","email":"dmwarner@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanderploeg, Henry A.","contributorId":195891,"corporation":false,"usgs":false,"family":"Vanderploeg","given":"Henry","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavaletto, Joann F.","contributorId":195892,"corporation":false,"usgs":false,"family":"Cavaletto","given":"Joann","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":708604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mayer, Christine M.","contributorId":50814,"corporation":false,"usgs":true,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":708605,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":708606,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192829,"text":"70192829 - 2017 - Maintenance of influenza A viruses and antibody response in mallards (Anas platyrhynchos) sampled during the non-breeding season in Alaska","interactions":[],"lastModifiedDate":"2018-06-20T20:24:34","indexId":"70192829","displayToPublicDate":"2017-08-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Maintenance of influenza A viruses and antibody response in mallards (Anas platyrhynchos) sampled during the non-breeding season in Alaska","docAbstract":"<p>Prevalence of influenza A virus (IAV) infections in northern-breeding waterfowl has previously been reported to reach an annual peak during late summer or autumn; however, little is known about IAV infection dynamics in waterfowl populations persisting at high-latitude regions such as Alaska, during winter. We captured mallards (<i>Anas platyrhynchos</i>) throughout the non-breeding season (August–April) of 2012–2015 in Fairbanks and Anchorage, the two largest cities in Alaska, to assess patterns of IAV infection and antibody production using molecular methods and a standard serologic assay. In addition, we used virus isolation, genetic sequencing, and a virus microneutralization assay to characterize viral subtypes and to evaluate the immune response of mallards captured on multiple occasions through time. We captured 923 mallards during three successive sampling years: Fairbanks in 2012/13 and 2013/14, and Anchorage in 2014/15. Prevalence varied by age, season, and year/site with high and relatively stable estimates throughout the non-breeding season. Infected birds were detected in all locations/seasons except early-winter in Fairbanks during 2013/14. IAVs with 17 combinations of hemagglutinin (H1–5, H7–9, H11, H12) and neuraminidase (N1–6, N8, N9) subtypes were isolated. Antibodies to IAVs were detected throughout autumn and winter for all sampling locations and years, however, seroprevalence was higher among adults and varied among years. Mallards exhibited individual heterogeneity with regard to immune response, providing instances of both seroconversion and seroreversion to detected viral subtypes. The probability that an individual transitioned from one serostatus to another varied by age, with juvenile mallards having higher rates of seroconversion and seroreversion than adults. Our study provides evidence that a diversity of IAVs circulate in populations of mallards wintering at urban locations in Alaska, and we suggest waterfowl wintering at high-latitudes may play an important role in maintenance of viruses across breeding seasons.</p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0183505","usgsCitation":"Spivey, T.J., Lindberg, M.S., Meixell, B.W., Smith, K.R., Puryear, W.B., Davis, K., Runstadler, J.A., Stallknecht, D.E., and Ramey, A.M., 2017, Maintenance of influenza A viruses and antibody response in mallards (Anas platyrhynchos) sampled during the non-breeding season in Alaska: PLoS ONE, v. 12, no. 8, Article e0183505; 18 p., https://doi.org/10.1371/journal.pone.0183505.","productDescription":"Article e0183505; 18 p.","ipdsId":"IP-083668","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":469591,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0183505","text":"Publisher Index Page"},{"id":438241,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CZ3626","text":"USGS data release","linkHelpText":"Influenza A Viruses and Antibody Response in High-Latitude Urban Wintering Mallards (Anas platyrhynchos), Alaska, 2012-2015"},{"id":347599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"12","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-24","publicationStatus":"PW","scienceBaseUri":"59f44596e4b063d5d306f2b2","contributors":{"authors":[{"text":"Spivey, Timothy J. 0000-0003-2735-2770 tspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-2735-2770","contributorId":198763,"corporation":false,"usgs":true,"family":"Spivey","given":"Timothy","email":"tspivey@usgs.gov","middleInitial":"J.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindberg, Mark S.","contributorId":63292,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":717173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kyle R.","contributorId":50541,"corporation":false,"usgs":false,"family":"Smith","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":717175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puryear, Wendy Blay","contributorId":174238,"corporation":false,"usgs":false,"family":"Puryear","given":"Wendy","email":"","middleInitial":"Blay","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":717187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Kimberly R.","contributorId":192195,"corporation":false,"usgs":false,"family":"Davis","given":"Kimberly R.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":717194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":717195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stallknecht, David E.","contributorId":14323,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":717196,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":717197,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70190273,"text":"70190273 - 2017 - Satellite-tagged osprey nearly sets longevity record and productivity response to initial captures","interactions":[],"lastModifiedDate":"2017-11-22T16:47:50","indexId":"70190273","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-tagged osprey nearly sets longevity record and productivity response to initial captures","docAbstract":"<p><span>We equipped adult Ospreys (</span><i><i>Pandion haliaetus</i></i><span>) from 24 nests in Oregon/Washington with satellite-tracked battery-powered radios, known as platform transmitter terminals (PTTs), in 1996–1999. These Ospreys from the lower Columbia River (river miles 76–286), and the Willamette Valley in western Oregon were part of a larger study of Osprey fall migration, wintering ecology, and spring migration, which included additional adults from the Upper Midwest and East Coast of the United States (</span><a class=\"ref\" onclick=\"popRef2('i0892-1016-51-2-180-Martell2','','','' ); return false;\">Martell et al. 2001</a><span>,<span>&nbsp;</span></span><a class=\"ref\" onclick=\"popRef2('i0892-1016-51-2-180-Martell1','','','' ); return false;\">2014</a><span>,<span>&nbsp;</span></span><a class=\"ref\" onclick=\"popRef2('i0892-1016-51-2-180-Washburn1','','','' ); return false;\">Washburn et al. 2014</a><span>). These early-generation PTTs weighed 30–35 g (Microwave Telemetry Inc., Columbia, MD U.S.A.) and utilized the ARGOS tracking system (</span><a href=\"http://www.argos-system.org/\" target=\"_blank\" data-mce-href=\"http://www.argos-system.org/\">www.argos-system.org</a><span>). We placed PTTs on the birds' backs using Teflon ribbon (Bally Ribbon, Bally, PA U.S.A.) in a standard backpack configuration (</span><a class=\"ref\" onclick=\"popRef2('i0892-1016-51-2-180-Kenward1','','','' ); return false;\">Kenward 2001</a><span>). With the mass of adult male Ospreys 1400 to 1500 g (</span><a class=\"ref\" onclick=\"popRef2('i0892-1016-51-2-180-Poole1','','','' ); return false;\">Poole et al. 2002</a><span>), the ratio of tag mass to body mass was 2.0 to 2.5%. Ospreys also received a standard size 8 bird band (U.S. Geological Survey) on one leg and a numbered color band on the other. For more details on trapping techniques, attachment procedures, the battery-powered units, turn-on, turn-off cycles, and tracking equipment, see<span>&nbsp;</span></span><a class=\"ref\" onclick=\"popRef2('i0892-1016-51-2-180-Martell2','','','' ); return false;\">Martell et al. (2001)</a><span>.</span></p>","language":"English","publisher":"BioOne","doi":"10.3356/JRR-16-71.1","usgsCitation":"Henny, C.J., and Martell, M.S., 2017, Satellite-tagged osprey nearly sets longevity record and productivity response to initial captures: Journal of Raptor Research, v. 51, no. 2, p. 180-183, https://doi.org/10.3356/JRR-16-71.1.","productDescription":"4 p.","startPage":"180","endPage":"183","ipdsId":"IP-078666","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":345041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.16497802734375,\n              45.65628792636447\n            ],\n            [\n              -122.5579833984375,\n              45.65628792636447\n            ],\n            [\n              -122.5579833984375,\n              46.09418614922648\n            ],\n            [\n              -123.16497802734375,\n              46.09418614922648\n            ],\n            [\n              -123.16497802734375,\n              45.65628792636447\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9444e4b04935557fe99a","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":708234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martell, Mark S.","contributorId":138541,"corporation":false,"usgs":false,"family":"Martell","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":12435,"text":"Audubon Minnesota","active":true,"usgs":false},{"id":35833,"text":"The Raptor Center at the University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":708235,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190238,"text":"70190238 - 2017 - Small mammals as indicators of climate, biodiversity, and ecosystem change","interactions":[],"lastModifiedDate":"2019-12-21T08:28:41","indexId":"70190238","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Small mammals as indicators of climate, biodiversity, and ecosystem change","docAbstract":"Climate is a driving evolutionary force for biodiversity in high-latitude Alaska. This region is complex and dynamic with high annual variation in temperature and light. Through deeper time, Alaska has experienced major climate extremes over much longer periodicity. For example, the Quaternary Period (the last ~2.5 million years), commonly known as the Ice Age, was punctuated by more than 20 major glacial-interglacial cycles. During glacial phases, water was locked up in ice sheets that covered much of North America, and the resulting lower sea levels exposed a land connection between Alaska and Siberia, a combined region known as Beringia (Figure 1). This isthmus provided vast expanses of land for species to inhabit, provided they could withstand potentially harsh polar conditions. Each extended glacial phase periodically transitioned into a shorter interglacial warm phase. These climate reversals melted continental ice sheets to expose corridors for reinvasion of terrestrial species, particularly those associated with forested habitats further south. Those species that survived at northern latitudes through repeated glacial-interglacial cycles formed the Arctic tundra communities that persist today. At present, Alaska supports diverse communities associated with both tundra and forests (Figure 2). These communities often interact with one another across latitudinal and elevational gradients, with tundra species generally found further north or higher in elevation. Alaska’s climate is continuing to change today, strongly influencing local environments and the distribution and dynamics of wildlife species.","language":"English","publisher":"National Park Service","usgsCitation":"Hope, A.G., Waltari, E., Morse, N.R., Flamme, M., Cook, J.A., and Talbot, S.L., 2017, Small mammals as indicators of climate, biodiversity, and ecosystem change: Alaska Park Science, v. 16, no. 1, p. 72-78.","productDescription":"7 p.","startPage":"72","endPage":"78","ipdsId":"IP-070300","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":345044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344962,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/aps-16-1-16.htm"}],"country":"Russia, United States","state":"Alaska, Siberia","volume":"16","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9445e4b04935557fe9a8","contributors":{"authors":[{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":708245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waltari, Eric","contributorId":105946,"corporation":false,"usgs":false,"family":"Waltari","given":"Eric","affiliations":[],"preferred":false,"id":708246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morse, Nathan R.","contributorId":195800,"corporation":false,"usgs":false,"family":"Morse","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flamme, M.J.","contributorId":88171,"corporation":false,"usgs":true,"family":"Flamme","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":708248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":708045,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cook, Joseph A.","contributorId":70318,"corporation":false,"usgs":true,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708249,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70190265,"text":"70190265 - 2017 - Landscape complementation revealed through bipartite networks: An example with the Florida manatee","interactions":[],"lastModifiedDate":"2018-03-28T10:58:15","indexId":"70190265","displayToPublicDate":"2017-08-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape complementation revealed through bipartite networks: An example with the Florida manatee","docAbstract":"Context\nLandscape complementation, or how landscapes that contain two or more non-substitutable and spatially separated resources facilitate resource use, is critical for many populations. Implicit to the problem of landscape complementation is the movement of individuals to access multiple resources. Conventional measures of complementation, such as habitat area or distance between habitats, do not consider the spatial configuration of resources or how landscape features impede movement.\n\nObjectives\nWe advanced a bipartite network approach to capture the spatial configuration and connectivity of two habitat types and contrasted this framework to conventional approaches in a habitat selection model.\n\nMethods\nUsing satellite-telemetry of the Florida manatee (Trichechus manatus latirostris), a marine mammal that relies on two distinct, spatially separate habitats for foraging and thermoregulating, we parameterized and compared mixed conditional logistic models with covariates describing classic habitat selection metrics, conventional measures of landscape complementation, and bipartite network metrics.\n\nResults\nThe models best supported included habitat area, resistance distance between habitats, and the bipartite network metric eigenvector centrality. The connectivity between habitats and the spatial configuration of one habitat type relative to other types better described habitat selection than conventional measures of landscape complementation alone. The type of habitat, i.e. seagrass or thermal refuge, influenced both the direction and magnitude of the response.\n\nConclusions\nLandscape complementation is an important predictor of selection and thus classic complementation measures are not sufficient in describing the process. Formalization of complementation with bipartite network can therefor reveal effects potentially missed with conventional measures.","language":"English","publisher":"Springer","doi":"10.1007/s10980-017-0560-5","usgsCitation":"Haase, C.G., Fletcher, R.J., Slone, D., Reid, J.P., and Butler, S.M., 2017, Landscape complementation revealed through bipartite networks: An example with the Florida manatee: Landscape Ecology, v. 32, no. 10, p. 1999-2014, https://doi.org/10.1007/s10980-017-0560-5.","productDescription":"16 p.","startPage":"1999","endPage":"2014","ipdsId":"IP-080969","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":345021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0003-1717-5707","orcid":"https://orcid.org/0000-0003-1717-5707","contributorId":195795,"corporation":false,"usgs":false,"family":"Fletcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":173308,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":708209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, James P. 0000-0002-8497-1132 jreid@usgs.gov","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":3460,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"jreid@usgs.gov","middleInitial":"P.","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":708212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Susan M. 0000-0003-3676-9332 sbutler@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-9332","contributorId":195796,"corporation":false,"usgs":true,"family":"Butler","given":"Susan","email":"sbutler@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":708213,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190209,"text":"70190209 - 2017 - Frequencies of decision making and monitoring in adaptive resource management","interactions":[],"lastModifiedDate":"2017-08-21T11:30:54","indexId":"70190209","displayToPublicDate":"2017-08-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Frequencies of decision making and monitoring in adaptive resource management","docAbstract":"Adaptive management involves learning-oriented decision making in the presence of uncertainty about the responses of a resource system to management. It is implemented through an iterative sequence of decision making, monitoring and assessment of system responses, and incorporating what is learned into future decision making. Decision making at each point is informed by a value or objective function, for example total harvest anticipated over some time frame. The value function expresses the value associated with decisions, and it is influenced by system status as updated through monitoring. Often, decision making follows shortly after a monitoring event. However, it is certainly possible for the cadence of decision making to differ from that of monitoring. In this paper we consider different combinations of annual and biennial decision making, along with annual and biennial monitoring. With biennial decision making decisions are changed only every other year; with biennial monitoring field data are collected only every other year. Different cadences of decision making combine with annual and biennial monitoring to define 4 scenarios. Under each scenario we describe optimal valuations for active and passive adaptive decision making. We highlight patterns in valuation among scenarios, depending on the occurrence of monitoring and decision making events. Differences between years are tied to the fact that every other year a new decision can be made no matter what the scenario, and state information is available to inform that decision. In the subsequent year, however, in 3 of the 4 scenarios either a decision is repeated or monitoring does not occur (or both). There are substantive differences in optimal values among the scenarios, as well as the optimal policies producing those values. Especially noteworthy is the influence of monitoring cadence on valuation in some years. We highlight patterns in policy and valuation among the scenarios, and discuss management implications and extensions.","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0182934","usgsCitation":"Williams, B.K., and Johnson, F.A., 2017, Frequencies of decision making and monitoring in adaptive resource management: PLoS ONE, v. 12, no. 8, e0182934; 18 p., https://doi.org/10.1371/journal.pone.0182934.","productDescription":"e0182934; 18 p.","ipdsId":"IP-080475","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0182934","text":"Publisher Index Page"},{"id":344992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-11","publicationStatus":"PW","scienceBaseUri":"599bf121e4b0b589267ed333","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":707990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":707989,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70261215,"text":"70261215 - 2017 - Timescales of mixing and storage for Keanakāko‘i Tephra magmas (1500-1823 C.E.), Kīlauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2024-12-02T14:41:32.901675","indexId":"70261215","displayToPublicDate":"2017-08-18T08:34:42","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Timescales of mixing and storage for Keanakāko‘i Tephra magmas (1500-1823 C.E.), Kīlauea Volcano, Hawai‘i","docAbstract":"<p><span>The last 2500&nbsp;years of activity at Kīlauea Volcano (Hawai‘i) have been characterized by centuries-long periods dominated by either effusive or explosive eruptions. The most recent period of explosive activity produced the Keanakāko‘i Tephra (KT; ca. 1500–1820 C.E.) and occurred after the collapse of the summit caldera (1470–1510 C.E.). Previous studies suggest that KT magmas may have ascended rapidly to the surface, bypassing storage in crustal reservoirs. The storage conditions and rapid ascent hypothesis are tested here using chemical zoning in olivine crystals and thermodynamic modeling. Forsterite contents (Fo; [Mg/(Mg&nbsp;+&nbsp;Fe)&nbsp;×&nbsp;100]) of olivine core and rim populations are used to identify melt components in Kīlauea’s prehistoric (i.e., pre-1823) plumbing system. Primitive (≥Fo</span><sub>88</sub><span>) cores occur throughout the 300+ years of the KT period; they originated from mantle-derived magmas that were first mixed and stored in a deep crustal reservoir. Bimodal olivine populations (≥Fo</span><sub>88</sub><span>&nbsp;and Fo</span><sub>83–84</sub><span>) record repeated mixing of primitive magmas and more differentiated reservoir components shallower in the system, producing a hybrid composition (Fo</span><sub>85–87</sub><span>). Phase equilibria modeling using MELTS shows that liquidus olivine is not stable at depths &gt;17&nbsp;km. Thus, calculated timescales likely record mixing and storage within the crust. Modeling of Fe–Mg and Ni zoning patterns (normal, reverse, complex) reveal that KT magmas were mixed and stored for a few weeks to several years before eruption, illustrating a more complex storage history than direct and rapid ascent from the mantle as previously inferred for KT magmas. Complexly zoned crystals also have smoothed compositional reversals in the outer 5–20&nbsp;µm rims that are out of Fe–Mg equilibrium with surrounding glasses. Diffusion models suggest that these rims formed within a few hours to a few days, indicating that at least one additional, late-stage mixing event may have occurred shortly prior to eruption. Our study illustrates that the lifetimes of KT magmas are more complex than previously proposed, and that most KT magmas did not rise rapidly from the mantle without modification during shallow crustal storage.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00410-017-1395-4","usgsCitation":"Lynn, K., Garcia, M.O., Shea, T., Costa, F., and Swanson, D., 2017, Timescales of mixing and storage for Keanakāko‘i Tephra magmas (1500-1823 C.E.), Kīlauea Volcano, Hawai‘i: Contributions to Mineralogy and Petrology, v. 172, 76, 20 p., https://doi.org/10.1007/s00410-017-1395-4.","productDescription":"76, 20 p.","ipdsId":"IP-084826","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":464613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.33339726285445,\n              19.47218468157476\n            ],\n            [\n              -155.33339726285445,\n              19.36470404669582\n            ],\n            [\n              -155.18967274036802,\n              19.36470404669582\n            ],\n            [\n              -155.18967274036802,\n              19.47218468157476\n            ],\n            [\n              -155.33339726285445,\n              19.47218468157476\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"172","noUsgsAuthors":false,"publicationDate":"2017-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynn, Kendra J.","contributorId":346804,"corporation":false,"usgs":false,"family":"Lynn","given":"Kendra J.","affiliations":[{"id":82969,"text":"iversity of Delaware","active":true,"usgs":false}],"preferred":false,"id":919929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Michael O.","contributorId":225524,"corporation":false,"usgs":false,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":919930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shea, Thomas","contributorId":236886,"corporation":false,"usgs":false,"family":"Shea","given":"Thomas","affiliations":[{"id":47560,"text":"University of Hawaii Manoa","active":true,"usgs":false}],"preferred":false,"id":919931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Costa, Fidel","contributorId":184169,"corporation":false,"usgs":false,"family":"Costa","given":"Fidel","email":"","affiliations":[],"preferred":false,"id":919932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, Donald A. 0000-0002-1680-3591","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":229682,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","affiliations":[],"preferred":true,"id":919933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70190170,"text":"70190170 - 2017 - Evidence of compounded disturbance effects on vegetation recovery following high-severity wildfire and spruce beetle outbreak","interactions":[],"lastModifiedDate":"2017-08-15T17:45:02","indexId":"70190170","displayToPublicDate":"2017-08-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of compounded disturbance effects on vegetation recovery following high-severity wildfire and spruce beetle outbreak","docAbstract":"<p><span>Spruce beetle (</span><i>Dendroctonus rufipennis</i><span>) outbreaks are rapidly spreading throughout subalpine forests of the Rocky Mountains, raising concerns that altered fuel structures may increase the ecological severity of wildfires. Although many recent studies have found no conclusive link between beetle outbreaks and increased fire size or canopy mortality, few studies have addressed whether these combined disturbances produce compounded effects on short-term vegetation recovery. We tested for an effect of spruce beetle outbreak severity on vegetation recovery in the West Fork Complex fire in southwestern Colorado, USA, where much of the burn area had been affected by severe spruce beetle outbreaks in the decade prior to the fire. Vegetation recovery was assessed using the Landsat-derived Normalized Difference Vegetation Index (NDVI) two years after the fire, which occurred in 2013. Beetle outbreak severity, defined as the basal area of beetle-killed trees within Landsat pixels, was estimated using vegetation index differences (dVIs) derived from pre-outbreak and post-outbreak Landsat images. Of the seven dVIs tested, the change in Normalized Difference Moisture Index (dNDMI) was most strongly correlated with field measurements of beetle-killed basal area (R</span><sup>2</sup><span><span>&nbsp;</span>= 0.66). dNDMI was included as an explanatory variable in sequential autoregressive (SAR) models of NDVI</span><sub>2015</sub><span>. Models also included pre-disturbance NDVI, topography, and weather conditions at the time of burning as covariates. SAR results showed a significant correlation between NDVI</span><sub>2015</sub><span><span>&nbsp;</span>and dNDMI, with more severe spruce beetle outbreaks corresponding to reduced post-fire vegetation cover. The correlation was stronger for models which were limited to locations in the red stage of outbreak (outbreak ≤ 5 years old at the time of fire) than for models of gray-stage locations (outbreak &gt; 5 years old at the time of fire). These results indicate that vegetation recovery processes may be negatively impacted by severe spruce beetle outbreaks occurring within a decade of stand-replacing wildfire.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0181778","usgsCitation":"Carlson, A., Sibold, J.S., Assal, T.J., and Negron, J.F., 2017, Evidence of compounded disturbance effects on vegetation recovery following high-severity wildfire and spruce beetle outbreak: PLoS ONE, v. 12, no. 8, Article e0181778: 24 p., https://doi.org/10.1371/journal.pone.0181778.","productDescription":"Article e0181778: 24 p.","ipdsId":"IP-083553","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469607,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0181778","text":"Publisher Index Page"},{"id":344878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"West Fork Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.03955078125,\n              37.09023980307208\n            ],\n            [\n              -106.3037109375,\n              37.09023980307208\n            ],\n            [\n              -106.3037109375,\n              38.238180119798635\n            ],\n            [\n              -108.03955078125,\n              38.238180119798635\n            ],\n            [\n              -108.03955078125,\n              37.09023980307208\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-04","publicationStatus":"PW","scienceBaseUri":"59940845e4b0fe2b9fe8af8d","contributors":{"authors":[{"text":"Carlson, Amanda R. 0000-0002-0450-2636","orcid":"https://orcid.org/0000-0002-0450-2636","contributorId":195661,"corporation":false,"usgs":false,"family":"Carlson","given":"Amanda R.","affiliations":[],"preferred":false,"id":707799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sibold, Jason S.","contributorId":195662,"corporation":false,"usgs":false,"family":"Sibold","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":707800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":707798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Negron, Jose F.","contributorId":10734,"corporation":false,"usgs":true,"family":"Negron","given":"Jose","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":707801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190163,"text":"70190163 - 2017 - Abundant carbon substrates drive extremely high sulfate reduction rates and methane fluxes in Prairie Pothole Wetlands","interactions":[],"lastModifiedDate":"2017-08-15T12:10:56","indexId":"70190163","displayToPublicDate":"2017-08-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Abundant carbon substrates drive extremely high sulfate reduction rates and methane fluxes in Prairie Pothole Wetlands","docAbstract":"<p><span>Inland waters are increasingly recognized as critical sites of methane emissions to the atmosphere, but the biogeochemical reactions driving such fluxes are less well understood. The Prairie Pothole Region (PPR) of North America is one of the largest wetland complexes in the world, containing millions of small, shallow wetlands. The sediment pore waters of PPR wetlands contain some of the highest concentrations of dissolved organic carbon (DOC) and sulfur species ever recorded in terrestrial aquatic environments. Using a suite of geochemical and microbiological analyses, we measured the impact of sedimentary carbon and sulfur transformations in these wetlands on methane fluxes to the atmosphere. This research represents the first study of coupled geochemistry and microbiology within the PPR and demonstrates how the conversion of abundant labile DOC pools into methane results in some of the highest fluxes of this greenhouse gas to the atmosphere ever reported. Abundant DOC and sulfate additionally supported some of the highest sulfate reduction rates ever measured in terrestrial aquatic environments, which we infer to account for a large fraction of carbon mineralization in this system. Methane accumulations in zones of active sulfate reduction may be due to either the transport of free methane gas from deeper locations or the co-occurrence of methanogenesis and sulfate reduction. If both respiratory processes are concurrent, any competitive inhibition of methanogenesis by sulfate-reducing bacteria may be lessened by the presence of large labile DOC pools that yield noncompetitive substrates such as methanol. Our results reveal some of the underlying mechanisms that make PPR wetlands biogeochemical hotspots, which ultimately leads to their critical, but poorly recognized role in regional greenhouse gas emissions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13633","usgsCitation":"Martins, P., Hoyt, D.W., Bansal, S., Mills, C., Tfaily, M., Tangen, B., Finocchiaro, R., Johnston, M.D., McAdams, B.C., Solensky, M.J., Smith, G.J., Chin, Y., and Wilkins, M.J., 2017, Abundant carbon substrates drive extremely high sulfate reduction rates and methane fluxes in Prairie Pothole Wetlands: Global Change Biology, v. 23, no. 8, p. 3107-3120, https://doi.org/10.1111/gcb.13633.","productDescription":"14 p.","startPage":"3107","endPage":"3120","ipdsId":"IP-078860","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":438247,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TX3CJ7","text":"USGS data release","linkHelpText":"Dissolved greenhouse gas concentrations and fluxes from Wetlands P7 and P8 of the Cottonwood Lake Study area, Stutsman County, North Dakota, 2015"},{"id":344847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Cottonwood Lake Study Area, Prairie Pothole Wetlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.17770385742188,\n              47.05702528260841\n            ],\n            [\n              -99.03419494628906,\n              47.05702528260841\n            ],\n            [\n              -99.03419494628906,\n              47.14489748555398\n            ],\n            [\n              -99.17770385742188,\n              47.14489748555398\n            ],\n            [\n              -99.17770385742188,\n              47.05702528260841\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-23","publicationStatus":"PW","scienceBaseUri":"59940848e4b0fe2b9fe8af9e","contributors":{"authors":[{"text":"Martins, Paula","contributorId":195645,"corporation":false,"usgs":false,"family":"Martins","given":"Paula","email":"","affiliations":[],"preferred":false,"id":707758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoyt, David W.","contributorId":195652,"corporation":false,"usgs":false,"family":"Hoyt","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":707768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mills, Christopher T. 0000-0001-8414-1414 cmills@usgs.gov","orcid":"https://orcid.org/0000-0001-8414-1414","contributorId":150137,"corporation":false,"usgs":true,"family":"Mills","given":"Christopher T.","email":"cmills@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":707769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tfaily, Malak","contributorId":195651,"corporation":false,"usgs":false,"family":"Tfaily","given":"Malak","affiliations":[],"preferred":false,"id":707767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707766,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Finocchiaro, Raymond 0000-0002-5514-8729 rfinocchiaro@usgs.gov","orcid":"https://orcid.org/0000-0002-5514-8729","contributorId":167278,"corporation":false,"usgs":true,"family":"Finocchiaro","given":"Raymond","email":"rfinocchiaro@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707765,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnston, Michael D.","contributorId":195650,"corporation":false,"usgs":false,"family":"Johnston","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":707764,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McAdams, Brandon C.","contributorId":195649,"corporation":false,"usgs":false,"family":"McAdams","given":"Brandon","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":707763,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Solensky, Matthew J. 0000-0003-4376-7765 msolensky@usgs.gov","orcid":"https://orcid.org/0000-0003-4376-7765","contributorId":4784,"corporation":false,"usgs":true,"family":"Solensky","given":"Matthew","email":"msolensky@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707762,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, Garrett J.","contributorId":195646,"corporation":false,"usgs":false,"family":"Smith","given":"Garrett","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":707759,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chin, Yu-Ping","contributorId":195648,"corporation":false,"usgs":false,"family":"Chin","given":"Yu-Ping","affiliations":[],"preferred":false,"id":707761,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilkins, Michael J.","contributorId":195647,"corporation":false,"usgs":false,"family":"Wilkins","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":707760,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70190134,"text":"70190134 - 2017 - Using optimal transport theory to estimate transition probabilities in metapopulation dynamics","interactions":[],"lastModifiedDate":"2017-08-11T18:29:59","indexId":"70190134","displayToPublicDate":"2017-08-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Using optimal transport theory to estimate transition probabilities in metapopulation dynamics","docAbstract":"<p><span>This work considers the estimation of transition probabilities associated with populations moving among multiple spatial locations based on numbers of individuals at each location at two points in time. The problem is generally underdetermined as there exists an extremely large number of ways in which individuals can move from one set of locations to another. A unique solution therefore requires a constraint. The theory of optimal transport provides such a constraint in the form of a cost function, to be minimized in expectation over the space of possible transition matrices. We demonstrate the optimal transport approach on marked bird data and compare to the probabilities obtained via maximum likelihood estimation based on marked individuals. It is shown that by choosing the squared Euclidean distance as the cost, the estimated transition probabilities compare favorably to those obtained via maximum likelihood with marked individuals. Other implications of this cost are discussed, including the ability to accurately interpolate the population's spatial distribution at unobserved points in time and the more general relationship between the cost and minimum transport energy.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2017.06.003","usgsCitation":"Nichols, J.M., Spendelow, J.A., and Nichols, J.D., 2017, Using optimal transport theory to estimate transition probabilities in metapopulation dynamics: Ecological Modelling, v. 359, p. 311-319, https://doi.org/10.1016/j.ecolmodel.2017.06.003.","productDescription":"9 p.","startPage":"311","endPage":"319","ipdsId":"IP-085663","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2017.06.003","text":"Publisher Index Page"},{"id":344773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"359","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"598e903be4b09fa1cb16096e","contributors":{"authors":[{"text":"Nichols, Jonathan M.","contributorId":195603,"corporation":false,"usgs":false,"family":"Nichols","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":707616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spendelow, Jeffrey A. 0000-0001-8167-0898 jspendelow@usgs.gov","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":4355,"corporation":false,"usgs":true,"family":"Spendelow","given":"Jeffrey","email":"jspendelow@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":140652,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":707617,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190148,"text":"70190148 - 2017 - Water quality measurements in San Francisco Bay by the U.S. Geological Survey, 1969–2015","interactions":[],"lastModifiedDate":"2017-08-11T17:47:51","indexId":"70190148","displayToPublicDate":"2017-08-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Water quality measurements in San Francisco Bay by the U.S. Geological Survey, 1969–2015","docAbstract":"<p><span>The U.S. Geological Survey (USGS) maintains a place-based research program in San Francisco Bay (USA) that began in 1969 and continues, providing one of the longest records of water-quality measurements in a North American estuary. Constituents include salinity, temperature, light extinction coefficient, and concentrations of chlorophyll-</span><i>a</i><span>, dissolved oxygen, suspended particulate matter, nitrate, nitrite, ammonium, silicate, and phosphate. We describe the sampling program, analytical methods, structure of the data record, and how to access all measurements made from 1969 through 2015. We provide a summary of how these data have been used by USGS and other researchers to deepen understanding of how estuaries are structured and function differently from the river and ocean ecosystems they bridge.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/sdata.2017.98","usgsCitation":"Schraga, T., and Cloern, J.E., 2017, Water quality measurements in San Francisco Bay by the U.S. Geological Survey, 1969–2015: Scientific Data, v. 4, Article 170098: 14 p., https://doi.org/10.1038/sdata.2017.98.","productDescription":"Article 170098: 14 p.","ipdsId":"IP-086767","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469616,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2017.98","text":"Publisher Index Page"},{"id":438248,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7D21WGF","text":"USGS data release","linkHelpText":"USGS Measurements of Water Quality in San Francisco Bay (CA), 2016-2021 (ver. 4.0, March 2023)"},{"id":344767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.15673828124999,\n              37.06394430056685\n            ],\n            [\n              -121.37695312499999,\n              37.06394430056685\n            ],\n            [\n              -121.37695312499999,\n              39.036252959636606\n            ],\n            [\n              -123.15673828124999,\n              39.036252959636606\n            ],\n            [\n              -123.15673828124999,\n              37.06394430056685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-08","publicationStatus":"PW","scienceBaseUri":"598e9038e4b09fa1cb160966","contributors":{"authors":[{"text":"Schraga, Tara 0000-0002-2108-5846 tschraga@usgs.gov","orcid":"https://orcid.org/0000-0002-2108-5846","contributorId":1118,"corporation":false,"usgs":true,"family":"Schraga","given":"Tara","email":"tschraga@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":707701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":707700,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192468,"text":"70192468 - 2017 - Combining multiple earthquake models in real time for earthquake early warning","interactions":[],"lastModifiedDate":"2017-12-12T12:45:05","indexId":"70192468","displayToPublicDate":"2017-08-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Combining multiple earthquake models in real time for earthquake early warning","docAbstract":"The ultimate goal of earthquake early warning (EEW) is to provide local shaking information to users before the strong shaking from an earthquake reaches their location. This is accomplished by operating one or more real‐time analyses that attempt to predict shaking intensity, often by estimating the earthquake’s location and magnitude and then predicting the ground motion from that point source. Other EEW algorithms use finite rupture models or may directly estimate ground motion without first solving for an earthquake source. EEW performance could be improved if the information from these diverse and independent prediction models could be combined into one unified, ground‐motion prediction. In this article, we set the forecast shaking at each location as the common ground to combine all these predictions and introduce a Bayesian approach to creating better ground‐motion predictions. We also describe how this methodology could be used to build a new generation of EEW systems that provide optimal decisions customized for each user based on the user’s individual false‐alarm tolerance and the time necessary for that user to react.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160331","usgsCitation":"Minson, S.E., Wu, S., Beck, J., and Heaton, T.H., 2017, Combining multiple earthquake models in real time for earthquake early warning: Bulletin of the Seismological Society of America, v. 107, no. 4, p. 1868-1882, https://doi.org/10.1785/0120160331.","productDescription":"15 p.","startPage":"1868","endPage":"1882","ipdsId":"IP-079620","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469618,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20170613-131115322","text":"External Repository"},{"id":347508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-13","publicationStatus":"PW","scienceBaseUri":"59f83a34e4b063d5d30980d0","contributors":{"authors":[{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":716001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wu, Stephen","contributorId":198428,"corporation":false,"usgs":false,"family":"Wu","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":716002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, James L","contributorId":198429,"corporation":false,"usgs":false,"family":"Beck","given":"James L","affiliations":[],"preferred":false,"id":716003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heaton, Thomas H.","contributorId":187505,"corporation":false,"usgs":false,"family":"Heaton","given":"Thomas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":716004,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190051,"text":"70190051 - 2017 - Hierarchical, quantitative biogeographic provinces for all North American turtles and their contribution to the biogeography of turtles and the continent","interactions":[],"lastModifiedDate":"2017-08-07T16:53:26","indexId":"70190051","displayToPublicDate":"2017-08-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1896,"text":"Herpetological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical, quantitative biogeographic provinces for all North American turtles and their contribution to the biogeography of turtles and the continent","docAbstract":"<p><span>Our study represents the first attempt to describe biogeographic provinces for North American (México, United States, and Canada) turtles. We analyzed three nested data sets separately: (1) all turtles, (2) freshwater turtles, and (3) aquatic turtles. We georeferenced North American turtle distributions, then we created presence–absence matrices for each of the three data sets. We used watershed unit as biogeographic units. We conducted an unweighted pair-group method with arithmetic mean clustering analysis on each Jaccard index distance matrix from our watershed species matrices to delineate biogeographic provinces. Provinces were then tested for significant differences in species compositions in a global model with the use of a one-way analysis of similarity. We conducted a best subset of environmental variables with maximum (rank) correlation with community dissimilarities that determined the best model of abiotic variables explaining province delineation (i.e., climate, topography, and stream channel). To identify which species contributed the most to province delineations, we conducted an indicator species analysis and a similarity-percentage analysis. There were 16 all-turtle provinces, 15 freshwater provinces, and 13 aquatic provinces. Species compositions delineating the provinces were explained by abiotic variables, including mean annual precipitation, mean precipitation seasonality, and diversity of streams. Province delineations correspond closely with geographical boundaries, many of which have Pleistocene origins. For example, rivers with a history of carrying glacial runoff (e.g., Arkansas, Mississippi) sometimes dissect upland provinces, especially for aquatic and semiaquatic turtles. Compared with freshwater fishes, turtles show greater sensitivity to decreased temperature with restriction of most taxa south of the last permafrost maximum. Turtles also exhibit higher sensitivity to climatic, geomorphic, and tectonic instability, with richness and endemism concentrated along the more stable Gulf of México and Atlantic (south of the last permafrost maximum) coasts. Although distribution data indicate two aquatic turtles are most cold tolerant (i.e.,&nbsp;</span><i>Chrysemys picta</i><span>,<span>&nbsp;</span></span><i>Chelydra serpentina</i><span>), aquatic turtles overall show the most restriction to warmer, wetter climates. Sequential addition of semiaquatic and terrestrial turtles into analyses shows, as expected, that these taxa flesh out turtle faunas in climatically harsh (e.g., grasslands) or remote (e.g., California, Sonoran Desert) regions. The turtle assemblages of southwestern versus southeastern North America are distinct. But there is a transition zone across the semiarid plains of the Texas Gulf Coast, High Plains, and Chihuahuan Desert, including a strong boundary congruent with the Cochise Filter-Barrier. This is not a simple subdivision of Neotropical versus Nearctic taxa, as some lineages from both realms span the transition zone.</span></p>","language":"English","publisher":"The Herpetologists’ League","doi":"10.1655/HERPMONOGRAPHS-D-16-00013","usgsCitation":"Ennen, J.R., Matamoros, W.A., Agha, M., Lovich, J.E., Sweat, S.C., and Hoagstrom, C.W., 2017, Hierarchical, quantitative biogeographic provinces for all North American turtles and their contribution to the biogeography of turtles and the continent: Herpetological Monographs, v. 31, no. 1, p. 114-140, https://doi.org/10.1655/HERPMONOGRAPHS-D-16-00013.","productDescription":"27 p.","startPage":"114","endPage":"140","ipdsId":"IP-080651","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":344620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"31","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59897c0ee4b09fa1cb0c2bf1","contributors":{"authors":[{"text":"Ennen, Joshua R.","contributorId":83858,"corporation":false,"usgs":true,"family":"Ennen","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":707330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matamoros, Wilfredo A.","contributorId":172518,"corporation":false,"usgs":false,"family":"Matamoros","given":"Wilfredo","email":"","middleInitial":"A.","affiliations":[{"id":27060,"text":"Facultad de Ciencias Biologicas, Universidad de Cencias y Artes de Chiapas, Museo de Zoologia, Tuxtla Gutiérrez, Chiapas, México Apartado Postal 29000, México","active":true,"usgs":false}],"preferred":false,"id":707332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false},{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":707333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":707329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sweat, Sarah C.","contributorId":195519,"corporation":false,"usgs":false,"family":"Sweat","given":"Sarah","email":"","middleInitial":"C.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":707331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoagstrom, Christopher W.","contributorId":195520,"corporation":false,"usgs":false,"family":"Hoagstrom","given":"Christopher","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":707334,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189169,"text":"ofr20171081 - 2017 - Report from the Workshop on Coregonine Restoration Science","interactions":[],"lastModifiedDate":"2017-08-28T13:11:52","indexId":"ofr20171081","displayToPublicDate":"2017-08-03T10:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1081","title":"Report from the Workshop on Coregonine Restoration Science","docAbstract":"<h1>Summary</h1><p>Great Lakes fishery managers have the opportunity and have expressed interest in reestablishing a native forage base in the Great Lakes consisting of various forms and species within the genus <i>Coregonus</i>. This report summarizes the proceedings of a workshop focused on a subset of the genus, and the term “coregonines” is used to refer to several species of deepwater ciscoes (also known as “chubs”) and the one more pelagic-oriented cisco species (<i>Coregonus artedi</i>, also known as “lake herring”). As the principal conservation agency for the United States Government, the Department of Interior has unique and significant authorities and capacities to support a coregonine reestablishment program in the Great Lakes. To identify and discuss key uncertainties associated with such a program and develop a coordinated approach, the U.S. Geological Survey (USGS) and the U.S. Fish and Wildlife Service (FWS), the principal Department of the Interior bureaus to address Great Lakes fishery issues, held the first of a series of workshops on coregonine science in Ann Arbor, Michigan, on October 11–13, 2016. Workshop objectives were to identify (1) perceived key uncertainties associated with coregonine restoration in the Great Lakes and (2) DOI capacities for addressing these key uncertainties.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171081","usgsCitation":"Bronte, C.R., Bunnell, D.B., David, S.R., Gordon, Roger, Gorsky, Dimitry, Millard, M.J., Read, Jennifer, Stein, R.A., and Vaccaro, Lynn, 2017, Report from the Workshop on Coregonine Restoration Science: U.S. Geological Survey Open-File Report 2017–1081, 23 p., https://doi.org/10.3133/ofr20171081.","productDescription":"vi, 23 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087856","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":344507,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1081/ofr20171081.pdf","text":"Report","size":"902 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1081"},{"id":344506,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1081/coverthb.jpg"}],"publicComments":"Convened by the Coregonid Steering Committee, with membership from U.S. Fish and Wildlife Service and U.S. Geological Survey, on October 11–13, 2016","contact":"<p><a href=\"mailto:dc_mi@usgs.gov&quot;\" data-mce-href=\"mailto:dc_mi@usgs.gov&quot;\">Director</a>, <a href=\"https://www.glsc.usgs.gov/\" data-mce-href=\"https://www.glsc.usgs.gov/\">Great Lakes Science Center</a><br> U.S. Geological Survey<br> 1451 Green Rd.<br> Ann Arbor, MI 48105</p>","tableOfContents":"<ul><li>Foreword&nbsp;</li><li>Acknowledgments&nbsp;</li><li>Workshop Introduction</li><li>Theme I. Setting the Stage&nbsp;</li><li>Theme II. Genetics</li><li>Theme III. Ecology</li><li>Theme IV. Propagation&nbsp;</li><li>References Cited</li><li>Appendix 1:&nbsp;Team Charter</li><li>Appendix 2:&nbsp;Workshop Agenda</li><li>Appendix 3:&nbsp;Workshop Participants&nbsp;</li><li>Appendix 4:&nbsp;Summary of Participant Feedback Survey</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2017-08-03","noUsgsAuthors":false,"publicationDate":"2017-08-03","publicationStatus":"PW","scienceBaseUri":"59843643e4b0e2f5d4665374","contributors":{"authors":[{"text":"Bronte, Charles R.","contributorId":190727,"corporation":false,"usgs":false,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":703338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":169859,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":703337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"David, Solomon R. sdavid@usgs.gov","contributorId":194164,"corporation":false,"usgs":true,"family":"David","given":"Solomon","email":"sdavid@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":703339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gordon, Roger","contributorId":194165,"corporation":false,"usgs":false,"family":"Gordon","given":"Roger","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":703340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":703341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Millard, Mike","contributorId":194166,"corporation":false,"usgs":false,"family":"Millard","given":"Mike","email":"","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false}],"preferred":false,"id":703342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Read, Jennifer","contributorId":140055,"corporation":false,"usgs":false,"family":"Read","given":"Jennifer","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":703343,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stein, Roy A.","contributorId":194167,"corporation":false,"usgs":false,"family":"Stein","given":"Roy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":703344,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vaccaro, Lynn","contributorId":140056,"corporation":false,"usgs":false,"family":"Vaccaro","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":703345,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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