{"pageNumber":"1056","pageRowStart":"26375","pageSize":"25","recordCount":184733,"records":[{"id":70187376,"text":"70187376 - 2016 - Deglacial temperature history of West Antarctica","interactions":[],"lastModifiedDate":"2018-03-23T13:39:40","indexId":"70187376","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Deglacial temperature history of West Antarctica","docAbstract":"<p><span>The most recent glacial to interglacial transition constitutes a remarkable natural experiment for learning how Earth’s climate responds to various forcings, including a rise in atmospheric CO</span><sub>2</sub><span>. This transition has left a direct thermal remnant in the polar ice sheets, where the exceptional purity and continual accumulation of ice permit analyses not possible in other settings. For Antarctica, the deglacial warming has previously been constrained only by the water isotopic composition in ice cores, without an absolute thermometric assessment of the isotopes’ sensitivity to temperature. To overcome this limitation, we measured temperatures in a deep borehole and analyzed them together with ice-core data to reconstruct the surface temperature history of West Antarctica. The deglacial warming was </span><span id=\"inline-formula-1\" class=\"inline-formula\"><span class=\"mathjax mml-math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow><mn>11.3</mn><mo>&amp;#xB1;</mo><msup><mn>1.8</mn><mo>&amp;#x2218;</mo></msup></mrow></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mn\">11.3</span><span id=\"MathJax-Span-5\" class=\"mo\">±</span><span id=\"MathJax-Span-6\" class=\"msup\"><span><span><span id=\"MathJax-Span-7\" class=\"mn\">1.8</span></span><span><span id=\"MathJax-Span-8\" class=\"mo\">∘</span></span></span></span></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">11.3±1.8∘</span></span></span></span><span>C, approximately two to three times the global average, in agreement with theoretical expectations for Antarctic amplification of planetary temperature changes. Consistent with evidence from glacier retreat in Southern Hemisphere mountain ranges, the Antarctic warming was mostly completed by 15 kyBP, several millennia earlier than in the Northern Hemisphere. These results constrain the role of variable oceanic heat transport between hemispheres during deglaciation and quantitatively bound the direct influence of global climate forcings on Antarctic temperature. Although climate models perform well on average in this context, some recent syntheses of deglacial climate history have underestimated Antarctic warming and the models with lowest sensitivity can be discounted.</span></p>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1609132113","usgsCitation":"Cuffey, K.M., Clow, G.D., Steig, E.J., Buizert, C., Fudge, T., Koutnik, M., Waddington, E.D., Alley, R.B., and Severinghaus, J.P., 2016, Deglacial temperature history of West Antarctica: Proceedings of the National Academy of Sciences, v. 113, no. 50, p. 14249-14254, https://doi.org/10.1073/pnas.1609132113.","productDescription":"6 p.","startPage":"14249","endPage":"14254","ipdsId":"IP-076620","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470365,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1609132113","text":"External Repository"},{"id":340664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","volume":"113","issue":"50","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"59084925e4b0fc4e448ffd4a","contributors":{"authors":[{"text":"Cuffey, Kurt M.","contributorId":73353,"corporation":false,"usgs":false,"family":"Cuffey","given":"Kurt","email":"","middleInitial":"M.","affiliations":[{"id":12626,"text":"Department of Geography, University of California, Berkeley, CA 94720, USA","active":true,"usgs":false}],"preferred":false,"id":693646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clow, Gary D. 0000-0002-2262-3853 clow@usgs.gov","orcid":"https://orcid.org/0000-0002-2262-3853","contributorId":2066,"corporation":false,"usgs":true,"family":"Clow","given":"Gary","email":"clow@usgs.gov","middleInitial":"D.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steig, Eric J.","contributorId":191623,"corporation":false,"usgs":false,"family":"Steig","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":693647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buizert, Christo","contributorId":140589,"corporation":false,"usgs":false,"family":"Buizert","given":"Christo","email":"","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":693648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fudge, T.J.","contributorId":191624,"corporation":false,"usgs":false,"family":"Fudge","given":"T.J.","email":"","affiliations":[],"preferred":false,"id":693649,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koutnik, Michelle","contributorId":191625,"corporation":false,"usgs":false,"family":"Koutnik","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":693650,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waddington, Edwin D.","contributorId":140726,"corporation":false,"usgs":false,"family":"Waddington","given":"Edwin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693651,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Alley, Richard B.","contributorId":34365,"corporation":false,"usgs":false,"family":"Alley","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":693652,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Severinghaus, Jeffrey P.","contributorId":140715,"corporation":false,"usgs":false,"family":"Severinghaus","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693653,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70185045,"text":"70185045 - 2016 - Increasing aeolian dust deposition to snowpacks in the Rocky Mountains inferred from snowpack, wet deposition, and aerosol chemistry","interactions":[],"lastModifiedDate":"2017-03-13T17:07:57","indexId":"70185045","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Increasing aeolian dust deposition to snowpacks in the Rocky Mountains inferred from snowpack, wet deposition, and aerosol chemistry","docAbstract":"<p><span>Mountain snowpacks are a vital natural resource for ∼1.5 billion people in the northern Hemisphere, helping to meet human and ecological demand for water in excess of that provided by summer rain. Springtime warming and aeolian dust deposition accelerate snowmelt, increasing the risk of water shortages during late summer, when demand is greatest. While climate networks provide data that can be used to evaluate the effect of warming on snowpack resources, there are no established regional networks for monitoring aeolian dust deposition to snow. In this study, we test the hypothesis that chemistry of snow, wet deposition, and aerosols can be used as a surrogate for dust deposition to snow. We then analyze spatial patterns and temporal trends in inferred springtime dust deposition to snow across the Rocky Mountains, USA, for 1993–2014. Geochemical evidence, including strong correlations (r</span><sup>2</sup><span>&nbsp;≥&nbsp;0.94) between Ca</span><sup>2+</sup><span>, alkalinity, and dust concentrations in snow deposited during dust events, indicate that carbonate minerals in dust impart a strong chemical signature that can be used to track dust deposition to snow. Spatial patterns in chemistry of snow, wet deposition, and aerosols indicate that dust deposition increases from north to south in the Rocky Mountains, and temporal trends indicate that winter/spring dust deposition increased by 81% in the southern Rockies during 1993–2014. Using a multivariate modeling approach, we determined that increases in dust deposition and decreases in springtime snowfall combined to accelerate snowmelt timing in the southern Rockies by approximately 7–18 days between 1993 and 2014. Previous studies have shown that aeolian dust emissions may have doubled globally during the 20th century, possibly due to drought and land-use change. Climate projections for increased aridity in the southwestern U.S., northern Africa, and other mid-latitude regions of the northern Hemisphere suggest that aeolian dust emissions may continue to increase, compounding the risk that climate warming poses to snowpack water resources in arid/semi-arid regions of the world.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2016.06.076","usgsCitation":"Clow, D.W., Williams, M.W., and Schuster, P.F., 2016, Increasing aeolian dust deposition to snowpacks in the Rocky Mountains inferred from snowpack, wet deposition, and aerosol chemistry: Atmospheric Environment, v. 146, p. 183-194, https://doi.org/10.1016/j.atmosenv.2016.06.076.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-073260","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":470368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2016.06.076","text":"Publisher Index Page"},{"id":337479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9ce4b0849ce9795e7a","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Mark W.","contributorId":43046,"corporation":false,"usgs":true,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":684062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuster, Paul F. 0000-0002-8314-1372 pschuste@usgs.gov","orcid":"https://orcid.org/0000-0002-8314-1372","contributorId":1360,"corporation":false,"usgs":true,"family":"Schuster","given":"Paul","email":"pschuste@usgs.gov","middleInitial":"F.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":684063,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186381,"text":"70186381 - 2016 - Missing link between the Hayward and Rodgers Creek faults","interactions":[],"lastModifiedDate":"2017-04-04T15:10:12","indexId":"70186381","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Missing link between the Hayward and Rodgers Creek faults","docAbstract":"<p><span>The next major earthquake to strike the ~7 million residents of the San Francisco Bay Area will most likely result from rupture of the Hayward or Rodgers Creek faults. Until now, the relationship between these two faults beneath San Pablo Bay has been a mystery. Detailed subsurface imaging provides definitive evidence of active faulting along the Hayward fault as it traverses San Pablo Bay and bends ~10° to the right toward the Rodgers Creek fault. Integrated geophysical interpretation and kinematic modeling show that the Hayward and Rodgers Creek faults are directly connected at the surface—a geometric relationship that has significant implications for earthquake dynamics and seismic hazard. A direct link enables simultaneous rupture of the Hayward and Rodgers Creek faults, a scenario that could result in a major earthquake (</span><i>M</i><span> = 7.4) that would cause extensive damage and loss of life with global economic impact.</span></p>","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.1601441","usgsCitation":"Watt, J., Ponce, D.A., Parsons, T.E., and Hart, P.E., 2016, Missing link between the Hayward and Rodgers Creek faults: Science Advances, v. 2, no. 10, p. 1-8, https://doi.org/10.1126/sciadv.1601441.","productDescription":"e1601441; 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-075884","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470369,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1601441","text":"Publisher Index Page"},{"id":339139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e4b0b2e4b09da679997784","contributors":{"authors":[{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":688419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":688420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":688421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":688422,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185762,"text":"70185762 - 2016 - Hurricane disturbance benefits nesting American Oystercatchers (<i>Haematopus palliatus</i>)","interactions":[],"lastModifiedDate":"2017-03-29T10:28:39","indexId":"70185762","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Hurricane disturbance benefits nesting American Oystercatchers (<i>Haematopus palliatus</i>)","docAbstract":"<p><span>Coastal ecosystems are under increasing pressure from human activity, introduced species, sea level rise, and storm activity. Hurricanes are a powerful destructive force, but can also renew coastal habitats. In 2003, Hurricane Isabel altered the barrier islands of North Carolina, flattening dunes and creating sand flats. American Oystercatchers (</span><i>Haematopus palliatus</i><span>) are large shorebirds that inhabit the coastal zone throughout the year. Alternative survival models were evaluated for 699 American Oystercatcher nests on North Core Banks and South Core Banks, North Carolina, USA, from 1999–2007. Nest survival on North Core Banks increased from 0.170 (SE = 0.002) to 0.772 (SE = 0.090) after the hurricane, with a carry-over effect lasting 2 years. A simple year effects model described nest survival on South Core Banks. Habitat had no effect on survival except when the overall rate of nest survival was at intermediate levels (0.300–0.600), when nests on open flats survived at a higher rate (0.600; SE = 0.112) than nests in dune habitat (0.243; SE = 0.094). Predator activity declined on North Core Banks after the hurricane and corresponded with an increase in nest survival. Periodic years with elevated nest survival may offset low annual productivity and contribute to the stability of American Oystercatcher populations.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0402","usgsCitation":"Simons, T.R., and Schulte, S., 2016, Hurricane disturbance benefits nesting American Oystercatchers (<i>Haematopus palliatus</i>): Waterbirds, v. 39, no. 4, p. 327-337, https://doi.org/10.1675/063.039.0402.","productDescription":"11 p.","startPage":"327","endPage":"337","ipdsId":"IP-057574","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":338548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58dcc7d5e4b02ff32c685673","contributors":{"authors":[{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":686695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Shiloh A.","contributorId":39911,"corporation":false,"usgs":true,"family":"Schulte","given":"Shiloh A.","affiliations":[],"preferred":false,"id":686762,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187719,"text":"70187719 - 2016 - Conservation status of polar bears (Ursus maritimus) in relation to projected sea-ice declines","interactions":[],"lastModifiedDate":"2017-05-16T10:58:18","indexId":"70187719","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Conservation status of polar bears (Ursus maritimus) in relation to projected sea-ice declines","docAbstract":"<p><span>Loss of Arctic sea ice owing to climate change is the primary threat to polar bears throughout their range. We evaluated the potential response of polar bears to sea-ice declines by (i) calculating generation length (GL) for the species, which determines the timeframe for conservation assessments; (ii) developing a standardized sea-ice metric representing important habitat; and (iii) using statistical models and computer simulation to project changes in the global population under three approaches relating polar bear abundance to sea ice. Mean GL was 11.5 years. Ice-covered days declined in all subpopulation areas during 1979–2014 (median −1.26 days year</span><sup>−1</sup><span>). The estimated probabilities that reductions in the mean global population size of polar bears will be greater than 30%, 50% and 80% over three generations (35–41 years) were 0.71 (range 0.20–0.95), 0.07 (range 0–0.35) and less than 0.01 (range 0–0.02), respectively. According to IUCN Red List reduction thresholds, which provide a common measure of extinction risk across taxa, these results are consistent with listing the species as vulnerable. Our findings support the potential for large declines in polar bear numbers owing to sea-ice loss, and highlight near-term uncertainty in statistical projections as well as the sensitivity of projections to different plausible assumptions.</span></p>","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsbl.2016.0556","usgsCitation":"Regehr, E.V., Laidre, K.L., Akcakaya, H.R., Amstrup, S.C., Atwood, T.C., Lunn, N., Obbard, M.E., Stern, H., Thiemann, G.W., and Wiig, Ø., 2016, Conservation status of polar bears (Ursus maritimus) in relation to projected sea-ice declines: Biology Letters, v. 12, p. 1-5, https://doi.org/10.1098/rsbl.2016.0556.","productDescription":"Article 20160556; 5 p.","startPage":"1","endPage":"5","ipdsId":"IP-077224","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470370,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsbl.2016.0556","text":"Publisher Index Page"},{"id":341339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591c0fc9e4b0a7fdb43ddef0","contributors":{"authors":[{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":695257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laidre, Kristin L.","contributorId":191798,"corporation":false,"usgs":false,"family":"Laidre","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":695258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akcakaya, H. Resit","contributorId":141126,"corporation":false,"usgs":false,"family":"Akcakaya","given":"H.","email":"","middleInitial":"Resit","affiliations":[{"id":13680,"text":"Department of Ecology and Evolution, Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":695259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amstrup, Steven C.","contributorId":67034,"corporation":false,"usgs":false,"family":"Amstrup","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":13182,"text":"Polar Bears International","active":true,"usgs":false}],"preferred":false,"id":695260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":695256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lunn, Nicholas J.","contributorId":78421,"corporation":false,"usgs":true,"family":"Lunn","given":"Nicholas J.","affiliations":[],"preferred":false,"id":695261,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Obbard, Martyn E.","contributorId":108002,"corporation":false,"usgs":false,"family":"Obbard","given":"Martyn","email":"","middleInitial":"E.","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":695262,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stern, Harry","contributorId":192065,"corporation":false,"usgs":false,"family":"Stern","given":"Harry","email":"","affiliations":[],"preferred":false,"id":695263,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":695264,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wiig, Øystein","contributorId":13469,"corporation":false,"usgs":true,"family":"Wiig","given":"Øystein","affiliations":[],"preferred":false,"id":695265,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70185186,"text":"70185186 - 2016 - Not all carp are created equal: Impacts of broadband sound on common carp swimming behavior","interactions":[],"lastModifiedDate":"2017-03-16T09:58:50","indexId":"70185186","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5320,"text":"Proceedings of Meetings on Acoustics","active":true,"publicationSubtype":{"id":10}},"title":"Not all carp are created equal: Impacts of broadband sound on common carp swimming behavior","docAbstract":"<p><span>Bighead carp (</span><i>Hypophthalmichthys nobilis</i><span>), </span>silver<span> carp (</span><i>H. molitrix</i><span>) (hereafter: bigheaded carps), and common carp (</span><i>Cyprinus carpio</i><span>) are invasive fish causing negative impacts throughout their North American range. To control their movements, non-physical barriers are being developed. Broadband </span>sound<span> (0.06 to 10 kHz) has shown potential as an acoustic deterrent for bigheaded carps, but the response of common carp to broadband </span>sound<span> has not been evaluated. Since common carp are ostariophysians, possessing Weberian ossicles similar to bigheaded carps, it is possible that </span>sound<span> can be used as an acoustical deterrent for all three species. Behavioral responses to a broadband </span>sound<span> were evaluated for common carp in an outdoor concrete </span>pond.<span> Common carp responded a median of 3.0 (1</span><sup>st</sup><span> Q: 1.0, 3</span><sup>rd</sup><span> Q: 6.0) consecutive times to the broadband </span>sound<span> which was lower than </span>silver<span> carp and bighead carp to the same stimulus. The current study shows that common carp demonstrate an inconsistent negative phonotaxis response to a broadband </span>sound,<span> and seem to habituate to the </span>sound<span> quickly.</span></p>","language":"English","publisher":"Acoustical Society of American ","doi":"10.1121/2.0000314","usgsCitation":"Murchy, K., Vetter, B.J., Brey, M.K., Amberg, J., Gaikowski, M., and Mensinger, A.F., 2016, Not all carp are created equal: Impacts of broadband sound on common carp swimming behavior: Proceedings of Meetings on Acoustics, v. 27, p. 1-9, https://doi.org/10.1121/2.0000314.","productDescription":"Article 010032; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-078938","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":337693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc738","contributors":{"authors":[{"text":"Murchy, Kelsie 0000-0003-3034-3488 kmurchy@usgs.gov","orcid":"https://orcid.org/0000-0003-3034-3488","contributorId":189376,"corporation":false,"usgs":true,"family":"Murchy","given":"Kelsie","email":"kmurchy@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":684654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vetter, Brooke J.","contributorId":189377,"corporation":false,"usgs":false,"family":"Vetter","given":"Brooke","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":684656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":684657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":684658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mensinger, Allen F.","contributorId":150852,"corporation":false,"usgs":false,"family":"Mensinger","given":"Allen","email":"","middleInitial":"F.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":684659,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185039,"text":"70185039 - 2016 - Upstream movements of Atlantic Salmon in the Lower Penobscot River, Maine following two dam removals and fish passage modifications","interactions":[],"lastModifiedDate":"2017-03-14T12:01:39","indexId":"70185039","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Upstream movements of Atlantic Salmon in the Lower Penobscot River, Maine following two dam removals and fish passage modifications","docAbstract":"<p><span>The Penobscot River Restoration Project (PRRP), to be completed in 2016, involved an extensive plan of dam removal, increases in hydroelectric capacity, and fish passage modifications to increase habitat access for diadromous species. As part of the PRRP, Great Works and Veazie dams were removed, making Milford Dam the first impediment to federally endangered Atlantic Salmon </span><i>Salmo salar</i><span>. Upstream habitat access for Atlantic Salmon is dependent upon successful and timely passage at Milford Dam because nearly all suitable spawning habitat is located upstream. In 2014 and 2015, a total of 73 adult salmon were radio-tagged to track their upstream movements through the Penobscot River to assess potential delays at (1) the dam remnants, (2) the confluence of the Stillwater Branch and the main stem of the Penobscot River below the impassable Orono Dam, and (3) the Milford Dam fish lift (installed in 2014). Movement rates through the dam remnants and the Stillwater confluence were comparable to open river reaches. Passage efficiency of the fish lift was high in both years (95% and 100%). However, fish experienced long delays at Milford Dam, with approximately one-third of fish taking more than a week to pass in each year, well below the Federal Energy Regulatory Commission passage standard of 95% within 48 h. Telemetry indicates most fish locate the fishway entrance within 5 h of arrival and were observed at the entrance at all hours of the day. These data indicate that overall transit times through the lower river were comparable to reported movement rates prior to changes to the Penobscot River due to the substantial delays seen at Milford Dam. The results of this study show that while adult Atlantic Salmon locate the new fish lift entrance quickly, passage of these fish was significantly delayed under 2014–2015 operations.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2016.1185063","usgsCitation":"Izzo, L.K., Maynard, G.A., and Zydlewski, J.D., 2016, Upstream movements of Atlantic Salmon in the Lower Penobscot River, Maine following two dam removals and fish passage modifications: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 8, no. 1, p. 448-461, https://doi.org/10.1080/19425120.2016.1185063.","productDescription":"14 p.","startPage":"448","endPage":"461","ipdsId":"IP-072944","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470381,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2016.1185063","text":"Publisher Index Page"},{"id":337493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.79981994628906,\n              44.76038647589176\n            ],\n            [\n              -68.62266540527344,\n              44.76038647589176\n            ],\n            [\n              -68.62266540527344,\n              44.990055522906864\n            ],\n            [\n              -68.79981994628906,\n              44.990055522906864\n            ],\n            [\n              -68.79981994628906,\n              44.76038647589176\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-21","publicationStatus":"PW","scienceBaseUri":"58c90124e4b0849ce97abcc3","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":189241,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":684200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maynard, George A.","contributorId":189242,"corporation":false,"usgs":false,"family":"Maynard","given":"George","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":684034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185750,"text":"70185750 - 2016 - Isotope-abundance variations and atomic weights of selected elements: 2016 (IUPAC Technical Report)","interactions":[],"lastModifiedDate":"2017-03-29T09:54:05","indexId":"70185750","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3207,"text":"Pure and Applied Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Isotope-abundance variations and atomic weights of selected elements: 2016 (IUPAC Technical Report)","docAbstract":"<p><span>There are 63 chemical elements that have two or more isotopes that are used to determine their standard atomic weights. The isotopic abundances and atomic weights of these elements can vary in normal materials due to physical and chemical fractionation processes (not due to radioactive decay). These variations are well known for 12 elements (hydrogen, lithium, boron, carbon, nitrogen, oxygen, magnesium, silicon, sulfur, chlorine, bromine, and thallium), and the standard atomic weight of each of these elements is given by IUPAC as an interval with lower and upper bounds. Graphical plots of selected materials and compounds of each of these elements have been published previously. Herein and at the URL </span><a title=\"\" href=\"http://dx.doi.org/10.5066/F7GF0RN2\" target=\"_blank\" data-mce-href=\"http://dx.doi.org/10.5066/F7GF0RN2\">http://dx.doi.org/10.5066/F7GF0RN2</a><span>, we provide isotopic abundances, isotope-delta values, and atomic weights for each of the upper and lower bounds of these materials and compounds.</span></p>","language":"English","publisher":"De Gruyter","doi":"10.1515/pac-2016-0302","usgsCitation":"Coplen, T.B., and Shrestha, Y., 2016, Isotope-abundance variations and atomic weights of selected elements: 2016 (IUPAC Technical Report): Pure and Applied Chemistry, v. 88, no. 12, p. 1203-1224, https://doi.org/10.1515/pac-2016-0302.","productDescription":"22 p.","startPage":"1203","endPage":"1224","ipdsId":"IP-078266","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":462025,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1515/pac-2016-0302","text":"Publisher Index Page"},{"id":438496,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GF0RN2","text":"USGS data release","linkHelpText":"Tables and charts for isotope-abundance variations and atomic weights of selected elements: 2016"},{"id":338532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-06","publicationStatus":"PW","scienceBaseUri":"58dcc7d5e4b02ff32c685677","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":686647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shrestha, Yesha 0000-0002-9714-8516 yshrestha@usgs.gov","orcid":"https://orcid.org/0000-0002-9714-8516","contributorId":189970,"corporation":false,"usgs":true,"family":"Shrestha","given":"Yesha","email":"yshrestha@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":686648,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70185043,"text":"70185043 - 2016 - Application of frequency- and time-domain electromagnetic surveys to characterize hydrostratigraphy and landfill construction at the Amargosa Desert Research Site, Beatty, Nevada","interactions":[],"lastModifiedDate":"2018-08-06T12:35:04","indexId":"70185043","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Application of frequency- and time-domain electromagnetic surveys to characterize hydrostratigraphy and landfill construction at the Amargosa Desert Research Site, Beatty, Nevada","docAbstract":"<p>In 2014 and 2015, the U.S. Geological Survey (USGS), conducted frequency-domain electromagnetic (FDEM) surveys at the USGS Amargosa Desert Research Site (ADRS), approximately 17 kilometers (km) south of Beatty, Nevada. The FDEM surveys were conducted within and adjacent to a closed low-level radioactive waste disposal site located at the ADRS. FDEM surveys were conducted on a grid of north-south and east-west profiles to assess the locations and boundaries of historically recorded waste-disposal trenches. In 2015, the USGS conducted time-domain (TDEM) soundings along a profile adjacent to the disposal site (landfill) in cooperation with the U.S. Environmental Protection Agency (USEPA), to assess the thickness and characteristics of the underlying deep unsaturated zone, and the hydrostratigraphy of the underlying saturated zone.</p><p>FDEM survey results indicate the general location and extent of the waste-disposal trenches and reveal potential differences in material properties and the type and concentration of waste in several areas of the landfill. The TDEM surveys provide information on the underlying hydrostratigraphy and characteristics of the unsaturated zone that inform the site conceptual model and support an improved understanding of the hydrostratigraphic framework. Additional work is needed to interpret the TDEM results in the context of the local and regional structural geology.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","publisherLocation":"Symposium on the application of geophysics to engineering and environmental problems 2016","doi":"10.4133/SAGEEP.29-024","usgsCitation":"White, E.A., Day-Lewis, F.D., Johnson, C.D., and Lane, J.W., 2016, Application of frequency- and time-domain electromagnetic surveys to characterize hydrostratigraphy and landfill construction at the Amargosa Desert Research Site, Beatty, Nevada, p. 119-125, https://doi.org/10.4133/SAGEEP.29-024.","productDescription":"7 p.","startPage":"119","endPage":"125","ipdsId":"IP-073130","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-24","publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc73a","contributors":{"authors":[{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":684055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":684056,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189481,"text":"70189481 - 2016 - Eastern Whip-poor-wills (Antrostomus vociferus) are positively associated with low elevation forest In the central Appalachians","interactions":[],"lastModifiedDate":"2018-03-26T11:46:34","indexId":"70189481","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Eastern Whip-poor-wills (<i>Antrostomus vociferus</i>) are positively associated with low elevation forest In the central Appalachians","title":"Eastern Whip-poor-wills (Antrostomus vociferus) are positively associated with low elevation forest In the central Appalachians","docAbstract":"<p><span>Populations of the Eastern Whip-poor-will (</span><i>Antrostomus vociferus</i><span>) are thought to be declining because of a range of potential factors including habitat loss, pesticide use, and predation. However, this species is nocturnal and, as a consequence, it is poorly studied, and its population status is not well assessed by traditional diurnal bird surveys. We used nocturnal road surveys to study habitat associations and distribution of Eastern Whip-poor-wills to better understand and contextualize their population status and to provide a framework for subsequent research and management. We used occupancy models to associate presence of Eastern Whip-poor-wills with habitat characteristics. Global models with habitat associations at a radius of 1600 m (1.0-ha area) were the best supported by the data, suggesting that this was the scale at which the species responded to the habitat parameters we measured. At this scale, Eastern Whip-poor-wills most frequently occupied areas lower in elevation and characterized by forested, herbaceous, and wetland cover types. In contrast, high elevation conifer forest communities had substantially fewer Eastern Whip-poor-wills. Detection rates were positively correlated with moon visibility and negatively correlated with noise. We used the results of our surveys to generate a regional model to predict distributions of Eastern Whip-poor-wills and that can be used as a framework for future management. Our results suggest that succession of agricultural fields and other clearings into forested habitats with dense understory may be a contributing factor to ongoing declines of Eastern Whip-poor-wills.</span></p>","language":"English","publisher":"The Wilson Ornithological Society","doi":"10.1676/15-156.1","usgsCitation":"Slover, C.L., and Katzner, T., 2016, Eastern Whip-poor-wills (Antrostomus vociferus) are positively associated with low elevation forest In the central Appalachians: Wilson Journal of Ornithology, v. 128, no. 4, p. 846-856, https://doi.org/10.1676/15-156.1.","productDescription":"11 p.","startPage":"846","endPage":"856","ipdsId":"IP-073699","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":343818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Appalachians, Monongahela National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.6231689453125,\n              38.02213147353745\n            ],\n            [\n              -79.398193359375,\n              38.02213147353745\n            ],\n            [\n              -79.398193359375,\n              39.198205348894795\n            ],\n            [\n              -80.6231689453125,\n              39.198205348894795\n            ],\n            [\n              -80.6231689453125,\n              38.02213147353745\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"128","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596886a1e4b0d1f9f05f59ac","contributors":{"authors":[{"text":"Slover, Christina L.","contributorId":194653,"corporation":false,"usgs":false,"family":"Slover","given":"Christina","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":704879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":704880,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70184971,"text":"70184971 - 2016 - Status of scientific knowledge of North American sturgeon","interactions":[],"lastModifiedDate":"2017-03-16T10:48:20","indexId":"70184971","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Status of scientific knowledge of North American sturgeon","docAbstract":"<p><span>Sturgeon and paddlefish were historically the dominant large fishes in all major Northern American Rivers. All ten species have been affected the past 150 years from anthropogenic stressors such that they are considered imperiled by various jurisdictions. Status papers have been presented for each species as part of a special publication on North American Acipenseriformes. The objective of this paper is to provide a summary of the similarities and differences in life history, habitat requirements, and stressors among the species. Optimistically, this would facilitate better management of the order as a whole if management actions for one species can inform another, especially in situations where populations are too low to obtain pertinent information.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jai.13235","usgsCitation":"Haxton, T., Sulak, K.J., and Hildebrand, L., 2016, Status of scientific knowledge of North American sturgeon: Journal of Applied Ichthyology, v. 32, no. S1, p. 5-10, https://doi.org/10.1111/jai.13235.","productDescription":"6 p.","startPage":"5","endPage":"10","ipdsId":"IP-079394","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":337710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"S1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-01","publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc73e","contributors":{"authors":[{"text":"Haxton, Tim J.","contributorId":189067,"corporation":false,"usgs":false,"family":"Haxton","given":"Tim J.","affiliations":[],"preferred":false,"id":683774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sulak, Kenneth J. 0000-0002-4795-9310 ksulak@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-9310","contributorId":2217,"corporation":false,"usgs":true,"family":"Sulak","given":"Kenneth","email":"ksulak@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":683773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hildebrand, L.","contributorId":189068,"corporation":false,"usgs":false,"family":"Hildebrand","given":"L.","affiliations":[],"preferred":false,"id":683775,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184966,"text":"70184966 - 2016 - Toward a national, sustained U.S. ecosystem assessment","interactions":[],"lastModifiedDate":"2017-03-15T12:11:20","indexId":"70184966","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Toward a national, sustained U.S. ecosystem assessment","docAbstract":"<p><span>The massive investment of resources devoted to monitoring and assessment of economic and societal indicators in the United States is neither matched by nor linked to efforts to monitor and assess the ecosystem services and biodiversity that support economic and social well-being. Although national-scale assessments of biodiversity (</span><i>1</i><span>) and ecosystem indicators (</span><i>2</i><span>) have been undertaken, nearly a decade has elapsed since the last systematic assessment (</span><i>2</i><span>). A 2011 White House report called for a national biodiversity and ecosystem services assessment (</span><i>3</i><span>), but the initiative has stalled. Our aim here is to stimulate the process and outline a credible framework and pathway for an ongoing assessment of ecosystem functioning (see the photo). A national assessment should engage diverse stakeholders from multiple sectors of society and should focus on metrics and analyses of direct relevance to policy decisions, from local to national levels. Although many technical or science-focused components are in place, they need to be articulated, distilled, and organized to address policy issues.</span></p>","language":"English","publisher":"Science","doi":"10.1126/science.aah5750","usgsCitation":"Jackson, S.T., Duke, C.S., Hampton, S.E., Jacobs, K.L., Joppa, L.N., Kassam, K.S., Mooney, H.A., Ogden, L.A., Ruckelshaus, M., and Shogren, J.F., 2016, Toward a national, sustained U.S. ecosystem assessment: Science, v. 354, no. 6314, p. 838-839, https://doi.org/10.1126/science.aah5750.","productDescription":"2 p.","startPage":"838","endPage":"839","ipdsId":"IP-079823","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":337616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"354","issue":"6314","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cce4b0849ce97c869e","contributors":{"authors":[{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":683731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duke, Clifford S.","contributorId":189054,"corporation":false,"usgs":false,"family":"Duke","given":"Clifford","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":683732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hampton, Stephanie E.","contributorId":178718,"corporation":false,"usgs":false,"family":"Hampton","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":683733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobs, Katharine L.","contributorId":189055,"corporation":false,"usgs":false,"family":"Jacobs","given":"Katharine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":683734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Joppa, Lucas N.","contributorId":99905,"corporation":false,"usgs":false,"family":"Joppa","given":"Lucas","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":683735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kassam, Karim-Aly S. K.","contributorId":189056,"corporation":false,"usgs":false,"family":"Kassam","given":"Karim-Aly","email":"","middleInitial":"S. K.","affiliations":[],"preferred":false,"id":683736,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mooney, Harold A.","contributorId":172852,"corporation":false,"usgs":false,"family":"Mooney","given":"Harold","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683737,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ogden, Laura A.","contributorId":189057,"corporation":false,"usgs":false,"family":"Ogden","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":683738,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruckelshaus, Mary","contributorId":189058,"corporation":false,"usgs":false,"family":"Ruckelshaus","given":"Mary","affiliations":[],"preferred":false,"id":683739,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shogren, Jason F.","contributorId":189059,"corporation":false,"usgs":false,"family":"Shogren","given":"Jason","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":683740,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70185040,"text":"70185040 - 2016 - Statistical comparison of methods for estimating sediment thickness from Horizontal-to-Vertical  Spectral Ratio (HVSR) seismic methods: An example from Tylerville, Connecticut, USA","interactions":[],"lastModifiedDate":"2018-08-06T12:31:12","indexId":"70185040","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Statistical comparison of methods for estimating sediment thickness from Horizontal-to-Vertical  Spectral Ratio (HVSR) seismic methods: An example from Tylerville, Connecticut, USA","docAbstract":"<p><span>Determining sediment thickness and delineating bedrock topography are important for assessing groundwater availability and characterizing contamination sites. In recent years, the horizontal-to-vertical spectral ratio (HVSR) seismic method has emerged as a non-invasive, cost-effective approach for estimating the thickness of unconsolidated sediments above bedrock. Using a three-component seismometer, this method uses the ratio of the average horizontal- and vertical-component amplitude spectrums to produce a spectral ratio curve with a peak at the fundamental resonance frequency. The HVSR method produces clear and repeatable resonance frequency peaks when there is a sharp contrast (&gt;2:1) in acoustic impedance at the sediment/bedrock boundary. Given the resonant frequency, sediment thickness can be determined either by (1) using an estimate of average local sediment shear-wave velocity or by (2) application of a power-law regression equation developed from resonance frequency observations at sites with a range of known depths to bedrock. Two frequently asked questions about the HVSR method are (1) how accurate are the sediment thickness estimates? and (2) how much do sediment thickness/bedrock depth estimates change when using different published regression equations? This paper compares and contrasts different approaches for generating HVSR depth estimates, through analysis of HVSR data acquired in the vicinity of Tylerville, Connecticut, USA.</span><br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/SAGEEP.29-057","usgsCitation":"Johnson, C.D., and Lane, J.W., 2016, Statistical comparison of methods for estimating sediment thickness from Horizontal-to-Vertical  Spectral Ratio (HVSR) seismic methods: An example from Tylerville, Connecticut, USA, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016, p. 317-323, https://doi.org/10.4133/SAGEEP.29-057.","productDescription":"7 p.","startPage":"317","endPage":"323","ipdsId":"IP-073040","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","city":"Tylerville","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-24","publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc73c","contributors":{"authors":[{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":684035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":684036,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187209,"text":"70187209 - 2016 - Weather as a proximate explanation for fission–fusion dynamics in female northern long-eared bats","interactions":[],"lastModifiedDate":"2017-04-26T12:50:55","indexId":"70187209","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":770,"text":"Animal Behaviour","active":true,"publicationSubtype":{"id":10}},"title":"Weather as a proximate explanation for fission–fusion dynamics in female northern long-eared bats","docAbstract":"<p><span>Fission–fusion dynamics appear common among temperate bats where females form roost groups that change in size and composition, as females switch roosts almost daily. One hypothesis for frequent roost switching is that females move to find suitable thermal conditions as ambient conditions change. Tests of this hypothesis have, however, been conducted mostly at roosts in artificial structures where microclimate is relatively stable. The goal of our study was to determine whether roost switching and roost use by northern long-eared bats, </span><i>Myotis septentrionalis</i><span>, that roost in trees are related to ambient conditions. We used generalized linear fixed effects models to explore the influence of roost characteristics and changes in ambient conditions on the likelihood of roost switching. We used canonical correlation analyses to examine the relationship between ambient conditions and roost characteristics. Roost switching was indeed linked to ambient conditions together with characteristics of roosts on the previous day; the best descriptors of roost switching differed between the two geographical regions we analysed. In Nova Scotia, females were less likely to switch roosts when it rained, particularly if they were in roosts below surrounding canopy whereas they were more likely to switch roosts when they were in roosts of high decay. Females roosted in shorter trees in earlier decay classes on warm days, as well as on windy and rainy days. In Kentucky, females were more likely to switch roosts at high temperatures, particularly when they were in roosts in high decay. Females roosted in shorter, decayed trees on warm days, and in less decayed trees with small diameter on windy and rainy days. Our results suggest bats switch roosts in response to changes in ambient conditions to select suitable roosting conditions, which may explain some of the proximate factors shaping fission–fusion dynamics of bats.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.anbehav.2016.09.022","usgsCitation":"Patriquin, K.J., Leonard, M.L., Broders, H.G., Ford, W.M., Britzke, E.R., and Silvis, A., 2016, Weather as a proximate explanation for fission–fusion dynamics in female northern long-eared bats: Animal Behaviour, v. 122, p. 47-57, https://doi.org/10.1016/j.anbehav.2016.09.022.","productDescription":"11 p.","startPage":"47","endPage":"57","ipdsId":"IP-071165","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bbe4b0c2e071a99b9a","contributors":{"authors":[{"text":"Patriquin, Krista J.","contributorId":191434,"corporation":false,"usgs":false,"family":"Patriquin","given":"Krista","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":693039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leonard, Marty L.","contributorId":191435,"corporation":false,"usgs":false,"family":"Leonard","given":"Marty","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Broders, Hugh G.","contributorId":191436,"corporation":false,"usgs":false,"family":"Broders","given":"Hugh","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":693041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Britzke, Eric R.","contributorId":8327,"corporation":false,"usgs":true,"family":"Britzke","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":693042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":693043,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70177048,"text":"fs20163082 - 2016 - Assessment of undiscovered continuous oil and gas resources in the Dnieper-Donets Basin and North Carpathian Basin Provinces, Ukraine, Romania, Moldova, and Poland, 2015","interactions":[],"lastModifiedDate":"2016-12-21T10:31:55","indexId":"fs20163082","displayToPublicDate":"2016-11-30T17:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3082","title":"Assessment of undiscovered continuous oil and gas resources in the Dnieper-Donets Basin and North Carpathian Basin Provinces, Ukraine, Romania, Moldova, and Poland, 2015","docAbstract":"<p>Using a geology-based methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean&nbsp;resources of 13 million barrels of oil and 2,643 billion cubic feet of natural gas in the Dnieper-Donets Basin and North Carpathian&nbsp;Basin Provinces of Ukraine, Romania, Moldova, and Poland.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163082","usgsCitation":"Klett, T.R., Schenk, C.J., Brownfield, M.E., Charpentier, R.R., Mercier, T.J., Leathers-Miller, H.M., and Tennyson, M.E., 2016, Assessment of undiscovered continuous oil and gas resources in the Dnieper-Donets Basin and North Carpathian Basin Provinces, Ukraine, Romania, Moldova, and Poland, 2015 (ver. 1.1, December 2016): U.S. Geological Survey Fact Sheet 2016–3082, 2 p., https://doi.org/10.3133/fs20163082.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-070968","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":331293,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3082/coverthb.jpg"},{"id":332334,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2016/3082/versionHist.txt","text":" Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2016-3082 Version History"},{"id":331294,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3082/fs20163082.pdf","text":"Report","size":"388 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3082"}],"country":"Moldova, Poland, Romania, Ukraine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              25,\n              44\n            ],\n            [\n              25,\n              55\n            ],\n            [\n              42,\n              55\n            ],\n            [\n              42,\n              44\n            ],\n            [\n              25,\n              44\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: November 30, 2016; Version 1.1: December 20, 2016","contact":"<p>Director, Central Energy Resources Science Center<br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver Federal Center<br>Denver, CO 80225-0046</p><p><a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">http://energy.usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-11-30","revisedDate":"2016-12-20","noUsgsAuthors":false,"publicationDate":"2016-11-30","publicationStatus":"PW","scienceBaseUri":"583ff343e4b04fc80e43724a","contributors":{"authors":[{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":141185,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy R.","email":"tklett@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":651135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":654434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":654435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Charpentier, Ronald R. charpentier@usgs.gov","contributorId":934,"corporation":false,"usgs":true,"family":"Charpentier","given":"Ronald R.","email":"charpentier@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":654436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":654437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":149262,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":654438,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":147380,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn","email":"tennyson@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":654439,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178055,"text":"ofr20161185 - 2016 - Mountain goat abundance and population trends in the Olympic Mountains, northwestern Washington, 2016","interactions":[],"lastModifiedDate":"2017-11-22T15:52:53","indexId":"ofr20161185","displayToPublicDate":"2016-11-30T12:00:00","publicationYear":"2016","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":"2016-1185","title":"Mountain goat abundance and population trends in the Olympic Mountains, northwestern Washington, 2016","docAbstract":"<h1>Executive Summary</h1><p>We estimated abundance and trends of non-native mountain goats (<i>Oreamnos americanus</i>) in the Olympic Mountains of northwestern Washington, based on aerial surveys conducted during July 13–24, 2016. The surveys produced the seventh population estimate since the first formal aerial surveys were conducted in 1983. This was the second population estimate since we adjusted survey area boundaries and adopted new estimation procedures in 2011. Before 2011, surveys encompassed all areas free of glacial ice at elevations above 1,520 meters (m), but in 2011 we expanded survey unit boundaries to include suitable mountain goat habitats at elevations between 1,425 and 1,520 m. In 2011, we also began applying a sightability correction model allowing us to estimate undercounting bias associated with aerial surveys and to adjust survey results accordingly. The 2016 surveys were carried out by National Park Service (NPS) personnel in Olympic National Park and by Washington Department of Fish and Wildlife (WDFW) biologists in Olympic National Forest and in the southeastern part of Olympic National Park. We surveyed a total of 59 survey units, comprising 55 percent of the 60,218-hectare survey area. We estimated a mountain goat population of 623 ±43 (standard error, SE). Based on this level of estimation uncertainty, the 95-percent confidence interval ranged from 561 to 741 mountain goats at the time of the survey.</p><p>We examined the rate of increase of the mountain goat population by comparing the current population estimate to previous estimates from 2004 and 2011. Because aerial survey boundaries changed between 2004 and 2016, we recomputed population estimates for 2011 and 2016 surveys based on the revised survey boundaries as well as the previously defined boundaries so that estimates were directly comparable across years. Additionally, because the Mount Washington survey unit was not surveyed in 2011, we used results from an independent survey of the Mount Washington unit conducted by WDFW biologists in 2012 and combined it with the 2011 survey results to produce a complete survey conducted over 2 years. The revised estimates of mountain goat abundance occurring at elevations above 1,520 m were 230 ±19 (SE) in 2004, 350 ±41 (SE) in 2011, and 584 ±39 (SE) in 2016. The difference between the overall 2016 population estimate (623 ±43 [SE]) and the smaller estimate (584 ±39 [SE]) reflected the number of mountain goats counted in the expanded survey areas added in 2011. Based on comparisons within the standardized survey boundary, the mountain goat population&nbsp;in the Olympic Mountains increased at an average finite rate of 6 percent annually from 2004 to 2011, 11 percent annually from 2011 to 2016, and 8 percent annually over the combined period. We caution that the population may have been underestimated in 2011 because of record heavy snows persisting into the survey season. Therefore, the rate of population increase from 2011 and 2016 may be overestimated. The rate of increase measured over the combined period (2004–16) may be more representative of the recent population growth. We conclude that the abundance of mountain goats has increased for more than a decade, and if the recent average rate of population growth were sustained, the population would increase by 45 percent over the next 5 years.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161185","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Jenkins, K.J., Happe, P.J., Beime, K.F., and Baccus, W.T., 2016, Mountain goat abundance and population trends in the Olympic Mountains, northwestern Washington, 2016: U.S. Geological Survey Open-File Report 2016–1185, 21 p., https://doi.org/10.3133/ofr20161185.","productDescription":"iv, 21 p.","onlineOnly":"Y","ipdsId":"IP-080401","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":331287,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1185/coverthb.jpg"},{"id":331288,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1185/ofr20161185.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1185 Report PDF"}],"country":"United States","state":"Washington","otherGeospatial":"Olympic Mountains, Olympic National Forest, Olympic National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123,\n              48\n            ],\n            [\n              -123,\n              47.5\n            ],\n            [\n              -124,\n              47.5\n            ],\n            [\n              -124,\n              48\n            ],\n            [\n              -123,\n              48\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Forest and Rangeland Ecosystem Science Center<br>U.S. Geological Survey<br>777 NW 9th St., Suite 400<br>Corvallis, Oregon 97330<br><a href=\"http://fresc.usgs.gov/\" data-mce-href=\"http://fresc.usgs.gov/\">http://fresc.usgs.gov/</a><br></p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Introduction<br></li><li>Study Area and Methods<br></li><li>Results<br></li><li>Discussion<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendixes 1-3<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-11-30","noUsgsAuthors":false,"publicationDate":"2016-11-30","publicationStatus":"PW","scienceBaseUri":"583ff346e4b04fc80e43724c","contributors":{"authors":[{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":654424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Happe, Patricia J.","contributorId":50983,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":16133,"text":"National Park Service, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":654425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beirne, Katherine F.","contributorId":76604,"corporation":false,"usgs":true,"family":"Beirne","given":"Katherine","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":654426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baccus, William T.","contributorId":16719,"corporation":false,"usgs":true,"family":"Baccus","given":"William","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":654427,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189828,"text":"70189828 - 2016 - Annualized earthquake loss estimates for California and their sensitivity to site amplification","interactions":[],"lastModifiedDate":"2017-07-27T14:36:20","indexId":"70189828","displayToPublicDate":"2016-11-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Annualized earthquake loss estimates for California and their sensitivity to site amplification","docAbstract":"Input datasets for annualized earthquake loss (AEL) estimation for California were updated recently by the scientific community, and include the National Seismic Hazard Model (NSHM), site‐response model, and estimates of shear‐wave velocity. Additionally, the Federal Emergency Management Agency’s loss estimation tool, Hazus, was updated to include the most recent census and economic exposure data. These enhancements necessitated a revisit to our previous AEL estimates and a study of the sensitivity of AEL estimates subjected to alternate inputs for site amplification. The NSHM ground motions for a uniform site condition are modified to account for the effect of local near‐surface geology. The site conditions are approximated in three ways: (1) by VS30 (time‐averaged shear‐wave velocity in the upper 30 m) value obtained from a geology‐ and topography‐based map consisting of 15 VS30 groups, (2) by site classes categorized according to National Earthquake Hazards Reduction Program (NEHRP) site classification, and (3) by a uniform NEHRP site class D. In case 1, ground motions are amplified using the Seyhan and Stewart (2014) semiempirical nonlinear amplification model. In cases 2 and 3, ground motions are amplified using the 2014 version of the NEHRP site amplification factors, which are also based on the Seyhan and Stewart model but are approximated to facilitate their use for building code applications. Estimated AELs are presented at multiple resolutions, starting with the state level assessment and followed by detailed assessments for counties, metropolitan statistical areas (MSAs), and cities. AEL estimate at the state level is ∼$3.7  billion, 70% of which is contributed from Los Angeles–Long Beach–Santa Ana, San Francisco–Oakland–Fremont, and Riverside–San Bernardino–Ontario MSAs. The statewide AEL estimate is insensitive to alternate assumptions of site amplification. However, we note significant differences in AEL estimates among the three sensitivity cases for smaller geographic units.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160099","usgsCitation":"Chen, R., Jaiswal, K.S., Bausch, D., Seligson, H., and Wills, C., 2016, Annualized earthquake loss estimates for California and their sensitivity to site amplification: Seismological Research Letters, v. 87, no. 6, p. 1363-1372, https://doi.org/10.1785/0220160099.","productDescription":"10 p.","startPage":"1363","endPage":"1372","ipdsId":"IP-078937","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"87","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-07","publicationStatus":"PW","scienceBaseUri":"597afba7e4b0a38ca2750b62","contributors":{"authors":[{"text":"Chen, Rui","contributorId":187504,"corporation":false,"usgs":false,"family":"Chen","given":"Rui","email":"","affiliations":[],"preferred":false,"id":706485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bausch, D","contributorId":195187,"corporation":false,"usgs":false,"family":"Bausch","given":"D","affiliations":[],"preferred":false,"id":706487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seligson, H","contributorId":195188,"corporation":false,"usgs":false,"family":"Seligson","given":"H","email":"","affiliations":[],"preferred":false,"id":706488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wills, C.J.","contributorId":195189,"corporation":false,"usgs":false,"family":"Wills","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":706489,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178563,"text":"70178563 - 2016 - Lidar-based mapping of flood control levees in south Louisiana","interactions":[],"lastModifiedDate":"2022-04-22T14:50:07.222","indexId":"70178563","displayToPublicDate":"2016-11-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Lidar-based mapping of flood control levees in south Louisiana","docAbstract":"<p>Flood protection in south Louisiana is largely dependent on earthen levees, and in the aftermath of Hurricane Katrina the state’s levee system has received intense scrutiny. Accurate elevation data along the levees are critical to local levee district managers responsible for monitoring and maintaining the extensive system of non-federal levees in coastal Louisiana. In 2012, high resolution airborne lidar data were acquired over levees in Lafourche Parish, Louisiana, and a mobile terrestrial lidar survey was conducted for selected levee segments using a terrestrial lidar scanner mounted on a truck. The mobile terrestrial lidar data were collected to test the feasibility of using this relatively new technology to map flood control levees and to compare the accuracy of the terrestrial and airborne lidar. Metrics assessing levee geometry derived from the two lidar surveys are also presented as an efficient, comprehensive method to quantify levee height and stability. The vertical root mean square error values of the terrestrial lidar and airborne lidar digital-derived digital terrain models were 0.038&nbsp;m and 0.055&nbsp;m, respectively. The comparison of levee metrics derived from the airborne and terrestrial lidar-based digital terrain models showed that both types of lidar yielded similar results, indicating that either or both surveying techniques could be used to monitor geomorphic change over time. Because airborne lidar is costly, many parts of the USA and other countries have never been mapped with airborne lidar, and repeat surveys are often not available for change detection studies. Terrestrial lidar provides a practical option for conducting repeat surveys of levees and other terrain features that cover a relatively small area, such as eroding cliffs or stream banks, and dunes.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2016.1249304","usgsCitation":"Thatcher, C.A., Lim, S., Palaseanu-Lovejoy, M., Danielson, J.J., and Kimbrow, D.R., 2016, Lidar-based mapping of flood control levees in south Louisiana: International Journal of Remote Sensing, v. 37, no. 24, p. 5708-5725, https://doi.org/10.1080/01431161.2016.1249304.","productDescription":"18 p.","startPage":"5708","endPage":"5725","ipdsId":"IP-055230","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":331364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","county":"Lafourche Parish","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.56,\n              29.56\n            ],\n            [\n              -90.56,\n              29.65\n            ],\n            [\n              -90.45,\n              29.65\n            ],\n            [\n              -90.45,\n              29.56\n            ],\n            [\n              -90.56,\n              29.56\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"24","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"583ff34be4b04fc80e437256","contributors":{"authors":[{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":654379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lim, Samsung","contributorId":177043,"corporation":false,"usgs":false,"family":"Lim","given":"Samsung","email":"","affiliations":[],"preferred":false,"id":654380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118 mpal@usgs.gov","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":3639,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","email":"mpal@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":654381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":654382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kimbrow, Dustin R. dkimbrow@usgs.gov","contributorId":3915,"corporation":false,"usgs":true,"family":"Kimbrow","given":"Dustin","email":"dkimbrow@usgs.gov","middleInitial":"R.","affiliations":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654383,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189279,"text":"70189279 - 2016 - Quantifying gas emissions from the 946 CE Millennium Eruption of Paektu volcano, Democratic People's Republic of Korea/China","interactions":[],"lastModifiedDate":"2017-07-07T16:07:24","indexId":"70189279","displayToPublicDate":"2016-11-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying gas emissions from the 946 CE Millennium Eruption of Paektu volcano, Democratic People's Republic of Korea/China","docAbstract":"Paektu volcano (Changbaishan) is a rhyolitic caldera that straddles the border between the Democratic People's Republic of Korea (DPRK) and China. Its most recent large eruption was the Millennium Eruption (ME; 23 km3 DRE) circa 946 CE, which resulted in the release of copious magmatic volatiles (H2O, CO2, sulfur, and halogens). Accurate quantification of volatile yield and composition is critical in assessing volcanogenic climate impacts but is elusive, particularly for pre-historic or unmonitored eruptions. Here we employ a geochemical technique to quantify volatile composition and yield from the ME by examining trends in incompatible trace and volatile element concentrations in crystal-hosted melt inclusions. We estimate a maximum of 45 Tg S was injected into the stratosphere during the ME. If true yields are close to this maximum, this equates to more than 1.5 times the S released during the 1815 eruption of Tambora, which contributed to the \"Year Without a Summer\". Our maximum gas yield estimates place the ME among the strongest emitters of climate forcing gases in recorded human history in stark contrast to ice core records that indicate minimal atmospheric sulfate loading after the eruption. We conclude that the potential lack of strong climate forcing occurred in spite of the substantial S yield and suggest that other factors predominated in minimizing climatic effects. This paradoxical case in which high S emissions do not result in substantial climate forcing may present a way forward in building more generalized models for predicting which volcanic eruptions will produce large climate impacts.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.1600913","usgsCitation":"Iacovino, K., Ju-Song, K., Sisson, T.W., Lowenstern, J.B., Ku-Hun, R., Jong-Nam, J., Kun-Ho, S., Song-Hwan, H., Clive Oppenheimer, Hammond, J.O., Amy Donovan, Weber-Liu, K., and Kum-Ran , R., 2016, Quantifying gas emissions from the 946 CE Millennium Eruption of Paektu volcano, Democratic People's Republic of Korea/China: Science Advances, v. 2, no. 11, p. 1-11, https://doi.org/10.1126/sciadv.1600913.","productDescription":"12 p. ","startPage":"1","endPage":"11","ipdsId":"IP-074792","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1600913","text":"Publisher Index Page"},{"id":343479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Korea","otherGeospatial":"Paektu volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              113.7744140625,\n              27.877928333679495\n            ],\n            [\n              145.1953125,\n              27.877928333679495\n            ],\n            [\n              145.1953125,\n              44.37098696297173\n            ],\n            [\n              113.7744140625,\n              44.37098696297173\n            ],\n            [\n              113.7744140625,\n              27.877928333679495\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59609db8e4b0d1f9f0594c3c","contributors":{"authors":[{"text":"Iacovino, Kayla 0000-0002-2461-7748 kiacovino@usgs.gov","orcid":"https://orcid.org/0000-0002-2461-7748","contributorId":194384,"corporation":false,"usgs":true,"family":"Iacovino","given":"Kayla","email":"kiacovino@usgs.gov","affiliations":[],"preferred":true,"id":703885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ju-Song, Kim","contributorId":194398,"corporation":false,"usgs":false,"family":"Ju-Song","given":"Kim","email":"","affiliations":[],"preferred":false,"id":703906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sisson, Thomas W. 0000-0003-3380-6425 tsisson@usgs.gov","orcid":"https://orcid.org/0000-0003-3380-6425","contributorId":2341,"corporation":false,"usgs":true,"family":"Sisson","given":"Thomas","email":"tsisson@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":703887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":703888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ku-Hun, Ri","contributorId":194399,"corporation":false,"usgs":false,"family":"Ku-Hun","given":"Ri","email":"","affiliations":[],"preferred":false,"id":703907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jong-Nam, Jang","contributorId":194400,"corporation":false,"usgs":false,"family":"Jong-Nam","given":"Jang","email":"","affiliations":[],"preferred":false,"id":703908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kun-Ho, Song","contributorId":194401,"corporation":false,"usgs":false,"family":"Kun-Ho","given":"Song","email":"","affiliations":[],"preferred":false,"id":703909,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Song-Hwan, Ham","contributorId":194402,"corporation":false,"usgs":false,"family":"Song-Hwan","given":"Ham","email":"","affiliations":[],"preferred":false,"id":703910,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Clive Oppenheimer","contributorId":194286,"corporation":false,"usgs":false,"family":"Clive Oppenheimer","affiliations":[],"preferred":false,"id":703893,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hammond, James O.S.","contributorId":194390,"corporation":false,"usgs":false,"family":"Hammond","given":"James","email":"","middleInitial":"O.S.","affiliations":[],"preferred":false,"id":703894,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Amy Donovan","contributorId":194391,"corporation":false,"usgs":false,"family":"Amy Donovan","affiliations":[],"preferred":false,"id":703895,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weber-Liu, Kosima","contributorId":194392,"corporation":false,"usgs":false,"family":"Weber-Liu","given":"Kosima","email":"","affiliations":[],"preferred":false,"id":703896,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kum-Ran , Ryu","contributorId":194393,"corporation":false,"usgs":false,"family":"Kum-Ran ","given":"Ryu","affiliations":[],"preferred":false,"id":703897,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70176513,"text":"ofr20161163 - 2016 - Model description and evaluation of the mark-recapture survival model used to parameterize the 2012 status and threats analysis for the Florida manatee (<i>Trichechus manatus latirostris</i>)","interactions":[],"lastModifiedDate":"2016-12-05T09:52:25","indexId":"ofr20161163","displayToPublicDate":"2016-11-30T00:00:00","publicationYear":"2016","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":"2016-1163","title":"Model description and evaluation of the mark-recapture survival model used to parameterize the 2012 status and threats analysis for the Florida manatee (<i>Trichechus manatus latirostris</i>)","docAbstract":"<p>This report provides supporting details and evidence for the rationale, validity and efficacy of a new mark-recapture model, the Barker Robust Design, to estimate regional manatee survival rates used to parameterize several components of the 2012 version of the Manatee Core Biological Model (CBM) and Threats Analysis (TA). &nbsp;The CBM and TA provide scientific analyses on population viability of the Florida manatee subspecies (<i>Trichechus manatus latirostris</i>) for U.S. Fish and Wildlife Service’s 5-year reviews of the status of the species as listed under the Endangered Species Act. &nbsp;The model evaluation is presented in a standardized reporting framework, modified from the TRACE (TRAnsparent and Comprehensive model Evaluation) protocol first introduced for environmental threat analyses. &nbsp;We identify this new protocol as TRACE-MANATEE SURVIVAL and this model evaluation specifically as TRACE-MANATEE SURVIVAL, Barker RD version 1. The longer-term objectives of the manatee standard reporting format are to (1) communicate to resource managers consistent evaluation information over sequential modeling efforts; (2) build understanding and expertise on the structure and function of the models; (3) document changes in model structures and applications in response to evolving management objectives, new biological and ecological knowledge, and new statistical advances; and (4) provide greater transparency for management and research review.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161163","usgsCitation":"Langtimm, C.A., Kendall, W.L., Beck, C.A., Kochman, H.I., Teague, A.L., Meigs-Friend, Gaia, and Peñaloza, C.L., 2016, Model description and evaluation of the mark-recapture survival model used to parameterize the 2012 status and threats analysis for the Florida manatee (<i>Trichechus manatus latirostris</i>): U.S. Geological Survey Open-File Report 2016–1163, 20 p.,\nhttps://doi.org/10.3133/ofr20161163.","productDescription":"v, 20 p.","onlineOnly":"Y","ipdsId":"IP-065130","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331034,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1163/coverthb.jpg"},{"id":331035,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1163/ofr20161163.pdf","text":"Report","size":"215 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1163"}],"contact":"<p>Director, Wetland and Aquatic Research Center<br>U.S. Geological Survey<br>7920 NW 71st Street &nbsp;<br>Gainesville, FL 32653</p><p><a href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\" data-mce-href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\">https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>1 Introduction<br></li><li>2 How to Use This Document<br></li><li>3 Problem Formulation Within the Decisionmaking Context<br></li><li>4 Mark-Recapture Model Description<br></li><li>5 Data Evaluation<br></li><li>6 Model Evaluation<br></li><li>7 Model Implementation Verification<br></li><li>8 Model Output Verification<br></li><li>9 Model Analysis Evaluation<br></li><li>10 Model Output Corroboration<br></li><li>References<br></li><li>Glossary<br></li></ul>","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-11-30","noUsgsAuthors":false,"publicationDate":"2016-11-30","publicationStatus":"PW","scienceBaseUri":"583ff34be4b04fc80e437258","contributors":{"authors":[{"text":"Langtimm, Catherine A. 0000-0001-8499-5743 clangtimm@usgs.gov","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":3045,"corporation":false,"usgs":true,"family":"Langtimm","given":"Catherine","email":"clangtimm@usgs.gov","middleInitial":"A.","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":649041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":649042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, Cathy A. 0000-0002-5388-5418 cbeck@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-5418","contributorId":2919,"corporation":false,"usgs":true,"family":"Beck","given":"Cathy","email":"cbeck@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":649043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kochman, Howard I. hkochman@usgs.gov","contributorId":4693,"corporation":false,"usgs":true,"family":"Kochman","given":"Howard","email":"hkochman@usgs.gov","middleInitial":"I.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":649044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teague, Amy L. 0000-0003-3433-9291 ateague@usgs.gov","orcid":"https://orcid.org/0000-0003-3433-9291","contributorId":4697,"corporation":false,"usgs":true,"family":"Teague","given":"Amy","email":"ateague@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":649045,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meigs-Friend, Gaia 0000-0001-5181-7510 gmeigs-friend@usgs.gov","orcid":"https://orcid.org/0000-0001-5181-7510","contributorId":4688,"corporation":false,"usgs":true,"family":"Meigs-Friend","given":"Gaia","email":"gmeigs-friend@usgs.gov","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":649046,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Penaloza, Claudia L.","contributorId":166911,"corporation":false,"usgs":false,"family":"Penaloza","given":"Claudia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":649047,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191886,"text":"70191886 - 2016 - Aqueous exposure to the progestin, levonorgestrel, alters anal fin development and reproductive behavior in the eastern mosquitofish (Gambusia holbrooki)","interactions":[],"lastModifiedDate":"2018-08-09T12:21:52","indexId":"70191886","displayToPublicDate":"2016-11-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Aqueous exposure to the progestin, levonorgestrel, alters anal fin development and reproductive behavior in the eastern mosquitofish (<i>Gambusia holbrooki</i>)","title":"Aqueous exposure to the progestin, levonorgestrel, alters anal fin development and reproductive behavior in the eastern mosquitofish (Gambusia holbrooki)","docAbstract":"<p><span>Endogenous progestogens are important regulators of vertebrate reproduction. Synthetic progestins are components of human contraceptive and hormone replacement pharmaceuticals. Both progestogens and progestins enter the environment through a number of sources, and have been shown to cause profound effects on reproductive health in various aquatic vertebrates. Progestins are designed to bind human progesterone receptors, but they also have been shown to strongly activate androgen receptors in fish. Levonorgestrel (LNG) activates fish androgen receptors and induces development of male secondary sex characteristics in females of other species. Although behavior has been postulated to be a sensitive early indicator of exposure to certain environmental contaminants, no such research on the reproductive behavior of gestagen-exposed fish has been conducted to date. The goal of our study was to examine the exposure effects of a human contraceptive progestin, LNG, on the reproductive development and behavior of the viviparous eastern mosquitofish (</span><i>Gambusia holbrooki</i><span>). Internal fertilization is a requisite characteristic of viviparous species, and is enabled by an androgen driven elongation of the anal fin into the male gonopodium (i.e., phallus). In this study, we exposed adult mosquitofish to ethanol (EtOH control), 10</span><span>&nbsp;</span><span>ng/L, and 100</span><span>&nbsp;</span><span>ng/L LNG for 8</span><span>&nbsp;</span><span>d using a static replacement exposure design. After 8</span><span>&nbsp;</span><span>d, a subset of males and females from each treatment were examined for differences in the 4:6 anal fin ratio. In addition, paired social interaction trials were performed using individual control males and control females or females treated 10</span><span>&nbsp;</span><span>ng/L or 100</span><span>&nbsp;</span><span>ng/L LNG. Female mosquitofish exposed to LNG were masculinized as evidenced by the elongation of the anal fin rays, a feature normal to males and abnormal to females. LNG caused significant increases in the 4:6 anal fin ratios of female mosquitofish in both the 10</span><span>&nbsp;</span><span>ng/L and 100</span><span>&nbsp;</span><span>ng/L treatments, although these differences were not significant between the two treatments. LNG caused significant increases in the 4:6 anal fin ratio of males exposed to 100</span><span>&nbsp;</span><span>ng/L, with no effects observed in the 10</span><span>&nbsp;</span><span>ng/L treatment. In addition, the reproductive behavior of control males paired with female mosquitofish exposed to 100</span><span>&nbsp;</span><span>ng/L LNG was also altered, for these males spent more time exhibiting no reproductive behavior, had decreased attending behavior, and a lower number of gonopodial thrusts compared to control males paired to control female mosquitofish. Given the rapid effects on both anal fin morphology and behavior observed in this study, the mosquitofish is an excellent sentinel species for the detection of exposure to LNG and likely other 19-nortestosterone derived contraceptive progestins in the environment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2016.01.007","usgsCitation":"Frankel, T.E., Meyer, M.T., and Orlando, E.F., 2016, Aqueous exposure to the progestin, levonorgestrel, alters anal fin development and reproductive behavior in the eastern mosquitofish (Gambusia holbrooki): General and Comparative Endocrinology, v. 234, no. 1, p. 161-169, https://doi.org/10.1016/j.ygcen.2016.01.007.","productDescription":"9 p.","startPage":"161","endPage":"169","ipdsId":"IP-071765","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":488746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ygcen.2016.01.007","text":"Publisher Index Page"},{"id":348871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"234","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc91e4b06e28e9c23fd8","contributors":{"authors":[{"text":"Frankel, Tyler E.","contributorId":177293,"corporation":false,"usgs":false,"family":"Frankel","given":"Tyler","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":722124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":713542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orlando, Edward F.","contributorId":177295,"corporation":false,"usgs":false,"family":"Orlando","given":"Edward","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":722125,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178609,"text":"70178609 - 2016 - Was everything bigger in Texas? Characterization and trends of a land-based recreational shark fishery","interactions":[],"lastModifiedDate":"2016-11-30T15:30:22","indexId":"70178609","displayToPublicDate":"2016-11-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Was everything bigger in Texas? Characterization and trends of a land-based recreational shark fishery","docAbstract":"<p><span>Although current assessments of shark population trends involve both fishery-independent and fishery-dependent data, the latter are generally limited to commercial landings that may neglect nearshore coastal habitats. Texas has supported the longest organized land-based recreational shark fishery in the United States, yet no studies have used this “non-traditional” data source to characterize the catch composition or trends in this multidecadal fishery. We analyzed catch records from two distinct periods straddling heavy commercial exploitation of sharks in the Gulf of Mexico (historical period = 1973–1986; modern period = 2008–2015) to highlight and make available the current status and historical trends in Texas’ land-based shark fishery. Catch records describing large coastal species (&gt;1,800 mm stretched total length [STL]) were examined using multivariate techniques to assess catch seasonality and potential temporal shifts in species composition. These fishery-dependent data revealed consistent seasonality that was independent of the data set examined, although distinct shark assemblages were evident between the two periods. Similarity percentage analysis suggested decreased contributions of Lemon Shark </span><i>Negaprion brevirostris</i><span> over time and a general shift toward the dominance of Bull Shark </span><i>Carcharhinus leucas</i><span> and Blacktip Shark </span><i>C. limbatus</i><span>. Comparisons of mean STL for species captured in historical and modern periods further identified significant decreases for both Bull Sharks and Lemon Sharks. Size structure analysis showed a distinct paucity of landed individuals over 2,000 mm STL in recent years. Although inherent biases in reporting and potential gear-related inconsistencies undoubtedly influenced this fishery-dependent data set, the patterns in our findings documented potential declines in the size and occurrence of select large coastal shark species off Texas, consistent with declines reported in the Gulf of Mexico. Future management efforts should consider the use of non-traditional fishery-dependent data sources, such as land-based records, as data streams in stock assessments.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/19425120.2016.1227404","usgsCitation":"Ajemian, M.J., Jose, P.D., Froeschke, J.T., Wildhaber, M.L., and Stunz, G., 2016, Was everything bigger in Texas? Characterization and trends of a land-based recreational shark fishery: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 8, no. 1, p. 553-566, https://doi.org/10.1080/19425120.2016.1227404.","productDescription":"14 p.","startPage":"553","endPage":"566","ipdsId":"IP-070564","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":470400,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2016.1227404","text":"Publisher Index Page"},{"id":331354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Padre Island National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.2894287109375,\n              27.649472352561876\n            ],\n            [\n              -97.196044921875,\n              27.620273282414246\n            ],\n            [\n              -97.2015380859375,\n              27.518015241965667\n            ],\n            [\n              -97.22900390625,\n              27.366889032381295\n            ],\n            [\n              -97.2454833984375,\n              27.205785724383325\n            ],\n            [\n              -97.23999023437499,\n              26.838776064165863\n            ],\n            [\n              -97.2125244140625,\n              26.711266913515747\n            ],\n            [\n              -97.22900390625,\n              26.598351182358293\n            ],\n            [\n              -97.2894287109375,\n              26.5737895138798\n            ],\n            [\n              -97.3828125,\n              26.5737895138798\n            ],\n            [\n              -97.57507324218749,\n              26.62781822639305\n            ],\n            [\n              -97.62451171875,\n              26.735799020431674\n            ],\n            [\n              -97.62451171875,\n              26.877980817017615\n            ],\n            [\n              -97.5860595703125,\n              27.108033801463115\n            ],\n            [\n              -97.58056640625,\n              27.23997867180821\n            ],\n            [\n              -97.5640869140625,\n              27.430289738862594\n            ],\n            [\n              -97.525634765625,\n              27.537500308359462\n            ],\n            [\n              -97.46520996093749,\n              27.6251403350933\n            ],\n            [\n              -97.3828125,\n              27.6543381066919\n            ],\n            [\n              -97.2894287109375,\n              27.649472352561876\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-10","publicationStatus":"PW","scienceBaseUri":"583ff348e4b04fc80e43724e","contributors":{"authors":[{"text":"Ajemian, Matthew J.","contributorId":177080,"corporation":false,"usgs":false,"family":"Ajemian","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":654534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jose, Philip D.","contributorId":177082,"corporation":false,"usgs":false,"family":"Jose","given":"Philip","email":"","middleInitial":"D.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":654535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Froeschke, John T.","contributorId":101794,"corporation":false,"usgs":true,"family":"Froeschke","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":654536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":654537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stunz, Gregory W.","contributorId":51006,"corporation":false,"usgs":true,"family":"Stunz","given":"Gregory W.","affiliations":[],"preferred":false,"id":654538,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178577,"text":"70178577 - 2016 - Vive la résistance: genome-wide selection against introduced alleles in invasive hybrid zones","interactions":[],"lastModifiedDate":"2016-11-30T17:45:04","indexId":"70178577","displayToPublicDate":"2016-11-30T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Vive la résistance: genome-wide selection against introduced alleles in invasive hybrid zones","docAbstract":"<p>Evolutionary and ecological consequences of hybridization between native and invasive species are notoriously complicated because patterns of selection acting on non-native alleles can vary throughout the genome and across environments. Rapid advances in genomics now make it feasible to assess locus-specific and genome-wide patterns of natural selection acting on invasive introgression within and among natural populations occupying diverse environments. We quantified genome-wide patterns of admixture across multiple independent hybrid zones of native westslope cutthroat trout and invasive rainbow trout, the world's most widely introduced fish, by genotyping 339 individuals from 21 populations using 9380 species-diagnostic loci. A significantly greater proportion of the genome appeared to be under selection favouring native cutthroat trout (rather than rainbow trout), and this pattern was pervasive across the genome (detected on most chromosomes). Furthermore, selection against invasive alleles was consistent across populations and environments, even in those where rainbow trout were predicted to have a selective advantage (warm environments). These data corroborate field studies showing that hybrids between these species have lower fitness than the native taxa, and show that these fitness differences are due to selection favouring many native genes distributed widely throughout the genome.</p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rspb.2016.1380","usgsCitation":"Kovach, R., Hand, B.K., Hohenlohe, P.A., Cosart, T.F., Boyer, M.C., Neville, H.H., Muhlfeld, C.C., Amish, S.J., Carim, K., Narum, S.R., Lowe, W.H., Allendorf, F., and Luikart, G., 2016, Vive la résistance: genome-wide selection against introduced alleles in invasive hybrid zones: Proceedings of the Royal Society B: Biological Sciences, v. 283, 20161380, https://doi.org/10.1098/rspb.2016.1380.","productDescription":"20161380","ipdsId":"IP-077981","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470399,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rspb.2016.1380","text":"External Repository"},{"id":331367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"283","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-30","publicationStatus":"PW","scienceBaseUri":"583ff34ae4b04fc80e437252","chorus":{"doi":"10.1098/rspb.2016.1380","url":"http://dx.doi.org/10.1098/rspb.2016.1380","publisher":"The Royal Society","authors":"Kovach Ryan P., Hand Brian K., Hohenlohe Paul A., Cosart Ted F., Boyer Matthew C., Neville Helen H., Muhlfeld Clint C., Amish Stephen J., Carim Kellie, Narum Shawn R., Lowe Winsor H., Allendorf Fred W., Luikart Gordon","journalName":"Proceedings of the Royal Society B: Biological Sciences","publicationDate":"11/23/2016","publiclyAccessibleDate":"11/23/2016"},"contributors":{"authors":[{"text":"Kovach, Ryan P.","contributorId":126724,"corporation":false,"usgs":false,"family":"Kovach","given":"Ryan P.","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":654447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hand, Brian K.","contributorId":145915,"corporation":false,"usgs":false,"family":"Hand","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":16296,"text":"University of Montana, Polson Montana 59860 USA","active":true,"usgs":false}],"preferred":false,"id":654448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hohenlohe, Paul A.","contributorId":46399,"corporation":false,"usgs":false,"family":"Hohenlohe","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":12708,"text":"Institute for Bioinformatics and Evolutionary Studies, Department of Biological Sciences, University of Idaho, Moscow, ID 83844","active":true,"usgs":false}],"preferred":false,"id":654449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosart, Ted F.","contributorId":177052,"corporation":false,"usgs":false,"family":"Cosart","given":"Ted","email":"","middleInitial":"F.","affiliations":[{"id":5091,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":654450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyer, Matthew C.","contributorId":126725,"corporation":false,"usgs":false,"family":"Boyer","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":6581,"text":"Montana Fish, Wildlife and Parks, Kalispell, Montana 59901, USA","active":true,"usgs":false}],"preferred":false,"id":654451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neville, Helen H.","contributorId":177092,"corporation":false,"usgs":false,"family":"Neville","given":"Helen","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":654452,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":654453,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Amish, Stephen J.","contributorId":104799,"corporation":false,"usgs":false,"family":"Amish","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":654454,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carim, Kellie","contributorId":177060,"corporation":false,"usgs":false,"family":"Carim","given":"Kellie","affiliations":[],"preferred":false,"id":654455,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Narum, Shawn R.","contributorId":167146,"corporation":false,"usgs":false,"family":"Narum","given":"Shawn","email":"","middleInitial":"R.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":654456,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lowe, Winsor H.","contributorId":126722,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":654457,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Allendorf, Fred W.","contributorId":83432,"corporation":false,"usgs":false,"family":"Allendorf","given":"Fred W.","affiliations":[{"id":5091,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":654458,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Luikart, Gordon","contributorId":145746,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","email":"","affiliations":[{"id":16220,"text":"Flathead Lake Biological Station, Div. Biological Science, UM","active":true,"usgs":false}],"preferred":false,"id":654459,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70177047,"text":"sir20165145 - 2016 - Characterization and relation of precipitation, streamflow, and water-quality data at the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, water years 2013–14","interactions":[],"lastModifiedDate":"2016-11-30T11:06:37","indexId":"sir20165145","displayToPublicDate":"2016-11-29T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5145","title":"Characterization and relation of precipitation, streamflow, and water-quality data at the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, water years 2013–14","docAbstract":"<p>To evaluate the influence of military training activities on streamflow and water quality, the U.S. Geological Survey, in cooperation with the U.S. Department of the Army, began a hydrologic data collection network on the U.S. Army Garrison Fort Carson in 1978 and on the Piñon Canyon Maneuver Site in 1983. This report is a summary and characterization of the precipitation, streamflow, and water-quality data collected at 43 sites between October 1, 2012, and September 30, 2014 (water years 2013 and 2014).</p><p>Variations in the frequency of daily precipitation, seasonal distribution, and seasonal and annual precipitation at 5&nbsp;stations at the U.S. Army Garrison Fort Carson and 18 stations at or near the Piñon Canyon Maneuver Site were evaluated. Isohyetal diagrams indicated a general pattern of increase in total annual precipitation from east to west at the U.S. Army Garrison Fort Carson and the Piñon Canyon Maneuver Site. Between about 54 and 79 percent of daily precipitation was 0.1 inch or less in magnitude. Precipitation events were larger and more frequent between July and September.</p><p>Daily streamflow data from 16 sites were used to evaluate temporal and spatial variations in streamflow for the water years 2013 and 2014. At all sites, median daily mean streamflow for the 2-year period ranged from 0.0 to 9.60 cubic feet per second. Daily mean streamflow hydrographs are included in this report. Five sites on the Piñon Canyon Maneuver Site were monitored for peak stage using crest-stage gages.</p><p>At the Piñon Canyon Maneuver Site, five sites had a stage recorder and precipitation gage, providing a paired streamflow-precipitation dataset. There was a statistically significant correlation between precipitation and streamflow based on Spearman’s rho correlation (rho values ranged from 0.17 to 0.35).</p><p>Suspended-sediment samples were collected in April through October for water years 2013–14 at one site at the U.S. Army Garrison Fort Carson and five sites at the Piñon Canyon Maneuver Site. Suspended-sediment-transport curves were used to illustrate the relation between streamflow and suspended-sediment concentration. All these sediment-transport curves showed a streamflow dependent suspended-sediment concentration relation except for the U.S. Geological Survey station Bent Canyon Creek at mouth near Timpas, CO.</p><p>Water-quality data were collected and reported from&nbsp;seven sites on the U.S. Army Garrison Fort Carson and the Piñon Canyon Maneuver Site during water years 2013–14. Sample results exceeding an established water-quality standard were identified. Selected water-quality properties and constituents were stratified to compare spatial variation among selected characteristics using boxplots.</p><p>Trilinear diagrams were used to classify water type based on ionic concentrations of water-quality samples collected during the study period.</p><p>At the U.S. Army Garrison Fort Carson and the Piñon Canyon Maneuver Site, 27 samples were classified as very hard or brackish. Seven samples had a lower hardness character relative to the other samples. Four of those nine samples were collected at two U.S. Geological Survey stations (Turkey Creek near Fountain, CO, and Little Fountain Creek above Highway 115 at Fort Carson, CO), which have different geologic makeup. Three samples collected at the Piñon Canyon Maneuver Site had a markedly lower hardness likely because of dilution from an increase in streamflow.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165145","collaboration":"Prepared in cooperation the U.S. Department of the Army","usgsCitation":"Holmberg, M.J., Stogner, R.W., Sr., and Bruce, J.F., 2016, Characterization and relation of precipitation, streamflow, and water-quality data at the U.S. Army Garrison Fort Carson and Piñon Canyon Maneuver Site, Colorado, water years 2013–14: U.S. Geological Survey Scientific Investigations Report 2016–5145, 58 p., https://doi.org/10.3133/sir20165145.","productDescription":"viii, 58 p.","onlineOnly":"Y","ipdsId":"IP-071890","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":331269,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5145/coverthb.jpg"},{"id":331270,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5145/sir20165145.pdf","text":"Report","size":"6.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5145"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.5,\n              38\n            ],\n            [\n              -104.5,\n              39\n            ],\n            [\n              -105,\n              39\n            ],\n            [\n              -105,\n              38\n            ],\n            [\n              -104.5,\n              38\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.2,\n              37.5\n            ],\n            [\n              -104.2,\n              38\n            ],\n            [\n              -103.5,\n              38\n            ],\n            [\n              -103.5,\n              37.5\n            ],\n            [\n              -104.2,\n              37.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, USGS Colorado Water Science Center<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p><p><a href=\"http://co.water.usgs.gov/\" data-mce-href=\"http://co.water.usgs.gov/\">http://co.water.cr.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Methods</li><li>Characterization and Relation among Precipitation, Streamflow, and Water-Quality Data</li><li>Implications of Study Findings and Further Study Needs</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Suspended-sediment concentration and streamflow data used for linear regression model</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-11-29","noUsgsAuthors":false,"publicationDate":"2016-11-29","publicationStatus":"PW","scienceBaseUri":"583ea1bae4b0f0dc05ea54db","contributors":{"authors":[{"text":"Holmberg, Michael J. mholmber@usgs.gov","contributorId":175442,"corporation":false,"usgs":true,"family":"Holmberg","given":"Michael J.","email":"mholmber@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":654410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stogner 0000-0002-3185-1452 rstogner@usgs.gov","orcid":"https://orcid.org/0000-0002-3185-1452","contributorId":938,"corporation":false,"usgs":true,"family":"Stogner","email":"rstogner@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":651134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruce, James F. 0000-0003-3125-2932 jbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-3125-2932","contributorId":916,"corporation":false,"usgs":true,"family":"Bruce","given":"James","email":"jbruce@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":651132,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178554,"text":"ofr20161182 - 2016 - Collection methods and descriptions of coral cores extracted from massive corals in Dry Tortugas National Park, Florida, U.S.A.","interactions":[],"lastModifiedDate":"2025-12-18T13:58:51.537167","indexId":"ofr20161182","displayToPublicDate":"2016-11-29T14:45:00","publicationYear":"2016","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":"2016-1182","title":"Collection methods and descriptions of coral cores extracted from massive corals in Dry Tortugas National Park, Florida, U.S.A.","docAbstract":"<p>Cores from living coral colonies were collected from Dry Tortugas National Park, Florida, U.S.A., to obtain skeletal records of past coral growth and allow geochemical reconstruction of environmental variables during the corals’ centuries-long lifespans. The samples were collected as part of the U.S. Geological Survey Coral Reef Ecosystems Studies project (<a href=\"http:/coastal.er.usgs.gov/crest/\" data-mce-href=\"http:/coastal.er.usgs.gov/crest/\">http:/coastal.er.usgs.gov/crest</a>) that provides science to assist resource managers tasked with the stewardship of coral reef resources. Three colonies each of the coral species <i>Orbicella faveolata</i> and <i>Siderastrea siderea</i> were collected in May 2012 using the methods described herein and as approved under National Park Service scientific collecting permit number DRTO-2012-SCI-0001 and are cataloged under accession number DRTO-353. These coral samples can be used to retroactively construct environmental parameters, including sea-surface temperature, by measuring the elemental composition of the coral skeleton. The cores described here, and others (see <a href=\"http://olga.er.usgs.gov/coreviewer/\" data-mce-href=\"http://olga.er.usgs.gov/coreviewer/\">http://olga.er.usgs.gov/coreviewer/</a>), can be requested, on loan, for scientific study. Photographic images for each coral in its ocean environment, the coral cores as curated and slabbed, and the X-rays of the slabs can be found in an associated U.S. Geological Survey Data Release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161182","usgsCitation":"Weinzierl, M.S., Reich, C.D., Hickey, T.D., Bartlett, L.A., and Kuffner, I.B., 2016, Collection methods and descriptions of coral cores extracted from massive corals in Dry Tortugas National Park, Florida, U.S.A.: U.S. Geological Survey Open-File Report 2016–1182, 8 p., https://doi.org/10.3133/ofr20161182.","productDescription":"Report: iv, 8 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-079150","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":331258,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7V69GQ2","text":"USGS data release","description":"USGS data release","linkHelpText":"Coral cores collected in Dry Tortugas National Park, Florida, U.S.A.: Photographs and X-rays"},{"id":331248,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1182/coverthb.jpg"},{"id":331249,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1182/ofr20161182.pdf","text":"Report","size":"6.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1182"}],"country":"United States","state":"Florida","otherGeospatial":"Dry Tortugas National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83,\n              24.5\n            ],\n            [\n              -83,\n              24.8\n            ],\n            [\n              -82.5,\n              24.8\n            ],\n            [\n              -82.5,\n              24.5\n            ],\n            [\n              -83,\n              24.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>St. Petersburg Coastal and Marine Science Center<br> U.S. Geological Survey<br> 600 4th Street South<br> St. Petersburg, FL 33701<br> <a href=\"http://coastal.er.usgs.gov/\" data-mce-href=\"http://coastal.er.usgs.gov/\">http://coastal.er.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results and Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-11-29","noUsgsAuthors":false,"publicationDate":"2016-11-29","publicationStatus":"PW","scienceBaseUri":"583ea1bce4b0f0dc05ea54dd","contributors":{"authors":[{"text":"Weinzierl, Michael S.","contributorId":176487,"corporation":false,"usgs":false,"family":"Weinzierl","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":654377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Christopher D. 0000-0002-2534-1456 creich@usgs.gov","orcid":"https://orcid.org/0000-0002-2534-1456","contributorId":900,"corporation":false,"usgs":true,"family":"Reich","given":"Christopher","email":"creich@usgs.gov","middleInitial":"D.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickey, T. Donald","contributorId":71782,"corporation":false,"usgs":true,"family":"Hickey","given":"T.","email":"","middleInitial":"Donald","affiliations":[],"preferred":false,"id":654378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartlett, Lucy A. lbartlett@usgs.gov","contributorId":176488,"corporation":false,"usgs":true,"family":"Bartlett","given":"Lucy A.","email":"lbartlett@usgs.gov","affiliations":[],"preferred":false,"id":654376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654375,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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