{"pageNumber":"912","pageRowStart":"22775","pageSize":"25","recordCount":165533,"records":[{"id":70191531,"text":"70191531 - 2017 - Forecasting the (un)productivity of the 2014 M 6.0 South Napa aftershock sequence","interactions":[],"lastModifiedDate":"2017-10-17T11:26:13","indexId":"70191531","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","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":"Forecasting the (un)productivity of the 2014 M 6.0 South Napa aftershock sequence","docAbstract":"<p><span>The 24 August 2014&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;6.0 South Napa mainshock produced fewer aftershocks than expected for a California earthquake of its magnitude. In the first 4.5 days, only 59<span>&nbsp;</span></span><i>M</i><span>≥1.8 aftershocks occurred, the largest of which was an<span>&nbsp;</span></span><i>M</i><span>&nbsp;3.9 that happened a little over two days after the mainshock. We investigate the aftershock productivity of the South Napa sequence and compare it with other<span>&nbsp;</span></span><i>M</i><span>≥5.5 California strike‐slip mainshock–aftershock sequences. While the productivity of the South Napa sequence is among the lowest, northern California mainshocks generally have fewer aftershocks than mainshocks further south, although the productivities vary widely in both regions. An epidemic‐type aftershock sequence (ETAS) model (</span><span id=\"xref-ref-23-1\" class=\"xref-bibr\">Ogata, 1988</span><span>) fit to Napa seismicity from 1980 to 23 August 2014 fits the sequence well and suggests that low‐productivity sequences are typical of this area. Utilizing regional variations in productivity could improve operational earthquake forecasting (OEF) by improving the model used immediately after the mainshock. We show this by comparing the daily rate of<span>&nbsp;</span></span><i>M</i><span>≥2 aftershocks to forecasts made with the generic California model (</span><span id=\"xref-ref-32-1\" class=\"xref-bibr\">Reasenberg and Jones, 1989</span><span>; hereafter, RJ89), RJ89 models with productivity updated daily, a generic California ETAS model, an ETAS model based on premainshock seismicity, and ETAS models updated daily following the mainshock. RJ89 models for which only the productivity is updated provide better forecasts than the generic RJ89 California model, and the Napa‐specific ETAS models forecast the aftershock rates more accurately than either generic model. Therefore, forecasts that use localized initial parameters and that rapidly update the productivity may be better for OEF than using a generic model and/or updating all parameters.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170050","usgsCitation":"Llenos, A.L., and Michael, A.J., 2017, Forecasting the (un)productivity of the 2014 M 6.0 South Napa aftershock sequence: Seismological Research Letters, v. 88, no. 5, p. 1241-1251, https://doi.org/10.1785/0220170050.","productDescription":"11 p.","startPage":"1241","endPage":"1251","ipdsId":"IP-083327","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":346683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124,\n              32\n            ],\n            [\n              -115,\n              32\n            ],\n            [\n              -115,\n              42\n            ],\n            [\n              -124,\n              42\n            ],\n            [\n              -124,\n              32\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-19","publicationStatus":"PW","scienceBaseUri":"59e71690e4b05fe04cd33190","contributors":{"authors":[{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":712646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":712647,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191529,"text":"70191529 - 2017 - Performance of Irikura recipe rupture model generator in earthquake ground motion simulations with Graves and Pitarka hybrid approach","interactions":[],"lastModifiedDate":"2017-10-17T11:35:35","indexId":"70191529","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Performance of Irikura recipe rupture model generator in earthquake ground motion simulations with Graves and Pitarka hybrid approach","docAbstract":"<p>We analyzed the performance of the Irikura and Miyake (Pure and Applied Geophysics 168(2011):85–104, 2011) (IM2011) asperity-based kinematic rupture model generator, as implemented in the hybrid broadband ground motion simulation methodology of Graves and Pitarka (Bulletin of the Seismological Society of America 100(5A):2095–2123, 2010), for simulating ground motion from crustal earthquakes of intermediate size. The primary objective of our study is to investigate the transportability of IM2011 into the framework used by the Southern California Earthquake Center broadband simulation platform. In our analysis, we performed broadband (0–20 Hz) ground motion simulations for a suite of M6.7 crustal scenario earthquakes in a hard rock seismic velocity structure using rupture models produced with both IM2011 and the rupture generation method of Graves and Pitarka (Bulletin of the Seismological Society of America, 2016) (GP2016). The level of simulated ground motions for the two approaches compare favorably with median estimates obtained from the 2014 Next Generation Attenuation-West2 Project (NGA-West2) ground motion prediction equations (GMPEs) over the frequency band 0.1–10 Hz and for distances out to 22 km from the fault. We also found that, compared to GP2016, IM2011 generates ground motion with larger variability, particularly at near-fault distances (&lt;12 km) and at long periods (&gt;1 s). For this specific scenario, the largest systematic difference in ground motion level for the two approaches occurs in the period band 1–3 s where the IM2011 motions are about 20–30% lower than those for GP2016. We found that increasing the rupture speed by 20% on the asperities in IM2011 produced ground motions in the 1–3 s bandwidth that are in much closer agreement with the GMPE medians and similar to those obtained with GP2016. The potential implications of this modification for other rupture mechanisms and magnitudes are not yet fully understood, and this topic is the subject of ongoing study. We concluded that IM2011 rupture generator performs well in ground motion simulations using Graves and Pitarka hybrid method. Therefore, we recommend it to be considered for inclusion into the framework used by the Southern California Earthquake Center broadband simulation platform.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00024-017-1504-3","usgsCitation":"Pitarka, A., Graves, R., Irikura, K., Miyake, H., and Rodgers, A., 2017, Performance of Irikura recipe rupture model generator in earthquake ground motion simulations with Graves and Pitarka hybrid approach: Pure and Applied Geophysics, v. 174, no. 9, p. 3537-3555, https://doi.org/10.1007/s00024-017-1504-3.","productDescription":"19 p.","startPage":"3537","endPage":"3555","ipdsId":"IP-083244","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":488726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00024-017-1504-3","text":"Publisher Index Page"},{"id":346685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"174","issue":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-28","publicationStatus":"PW","scienceBaseUri":"59e71690e4b05fe04cd33195","contributors":{"authors":[{"text":"Pitarka, Arben","contributorId":184062,"corporation":false,"usgs":false,"family":"Pitarka","given":"Arben","email":"","affiliations":[],"preferred":false,"id":712633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":712632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irikura, Kojiro","contributorId":197122,"corporation":false,"usgs":false,"family":"Irikura","given":"Kojiro","email":"","affiliations":[],"preferred":false,"id":712634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miyake, Hiroe","contributorId":197123,"corporation":false,"usgs":false,"family":"Miyake","given":"Hiroe","email":"","affiliations":[],"preferred":false,"id":712635,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodgers, Arthur","contributorId":197124,"corporation":false,"usgs":false,"family":"Rodgers","given":"Arthur","affiliations":[],"preferred":false,"id":712636,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191514,"text":"70191514 - 2017 - A transect through Vermont’s most famous volcano – Mount Ascutney: GSNH Summer 2017 Field Trip","interactions":[],"lastModifiedDate":"2017-10-16T14:35:25","indexId":"70191514","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"A transect through Vermont’s most famous volcano – Mount Ascutney: GSNH Summer 2017 Field Trip","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Geological Survey of New Hampshire","usgsCitation":"Walsh, G.J., 2017, A transect through Vermont’s most famous volcano – Mount Ascutney: GSNH Summer 2017 Field Trip, 4 p.","productDescription":"4 p.","ipdsId":"IP-088447","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":346632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346625,"type":{"id":15,"text":"Index Page"},"url":"https://www.gsnh.org/"}],"country":"United States","state":"Vermont","otherGeospatial":"Mount Ascutney","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51be4b05fe04cd1c9d6","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":712552,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70191511,"text":"70191511 - 2017 - Anura—Frogs","interactions":[],"lastModifiedDate":"2017-10-16T14:38:26","indexId":"70191511","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Anura—Frogs","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Scientific and Standard English names of amphibians and reptiles of North America north of Mexico, with comments regarding confidence in our understanding (8th)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Frost, D.R., Moriarty Lemmon, E., McDiarmid, R.W., and Mendelson III, J., 2017, Anura—Frogs, chap. <i>of</i> Scientific and Standard English names of amphibians and reptiles of North America north of Mexico, with comments regarding confidence in our understanding (8th), p. 6-24.","productDescription":"19 p.","startPage":"6","endPage":"24","ipdsId":"IP-090480","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":346633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346617,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/publications/north-american-checklist/"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9da","contributors":{"authors":[{"text":"Frost, Darrel R.","contributorId":197091,"corporation":false,"usgs":false,"family":"Frost","given":"Darrel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":712536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moriarty Lemmon, Emily","contributorId":197092,"corporation":false,"usgs":false,"family":"Moriarty Lemmon","given":"Emily","email":"","affiliations":[],"preferred":false,"id":712537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDiarmid, Roy W. 0000-0002-7649-1796 rmcdiarmid@usgs.gov","orcid":"https://orcid.org/0000-0002-7649-1796","contributorId":3603,"corporation":false,"usgs":true,"family":"McDiarmid","given":"Roy","email":"rmcdiarmid@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":712535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mendelson III, Joseph R.","contributorId":197093,"corporation":false,"usgs":false,"family":"Mendelson III","given":"Joseph R.","affiliations":[],"preferred":false,"id":712538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191500,"text":"70191500 - 2017 - 238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","interactions":[],"lastModifiedDate":"2017-10-16T09:57:02","indexId":"70191500","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<sup>238</sup>U–<sup>230</sup>Th–<sup>226</sup>Ra–<sup>210</sup>Pb–<sup>210</sup>Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","title":"238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","docAbstract":"<p><span>The timescales of magma genesis, ascent, storage and degassing at Kīlauea volcano, Hawai‘i are addressed by measuring&nbsp;</span><sup>238</sup><span>U-series radionuclide abundances in lava and tephra erupted between 1982 and 2008. Most analyzed samples represent lavas erupted by steady effusion from Pu‘u ‘Ō‘ō and Kūpahianaha from 1983 to 2008. Also included are samples erupted at the summit in April 1982 and March 2008, along the East Rift Zone at the onset of the ongoing eruption in January 1983, and during vent shifting episodes 54 and 56, at Nāpau crater in January 1997, and Kane Nui O Hamo in June 2007. In general, samples have small (∼4%) excesses of (</span><sup>230</sup><span>Th) over (</span><sup>238</sup><span>U) and ∼3 to ∼17% excesses of (</span><sup>226</sup><span>Ra) over (</span><sup>230</sup><span>Th), consistent with melting of a garnet peridotite source at melting rates between 1 × 10</span><sup>–3</sup><span><span>&nbsp;</span>and 5 × 10</span><sup>–3 </sup><span>kg m</span><sup>–3</sup><span><span>&nbsp;</span>a</span><sup>–1</sup><span>, and melting region porosity between ∼2 and ∼10%, in agreement with previous studies of the ongoing eruption and historical eruptions. A small subset of samples has near-equilibrium (</span><sup>230</sup><span>Th/</span><sup>238</sup><span>U) values, and thus were generated at higher melting rates. Based on U–Th–Ra disequilibria and Th isotopic data from this and earlier studies, melting processes and sources have been relatively stable over at least the past two centuries or more, including during the ongoing unusually long (&gt;30 years) and voluminous (4 km</span><sup>3</sup><span>) eruption. Lavas recently erupted from the East Rift Zone have average initial (</span><sup>210</sup><span>Pb/</span><sup>226</sup><span>Ra) values of 0·80 ± 0·11 (1σ), which we interpret to be the result of partitioning of<span>&nbsp;</span></span><sup>222</sup><span>Rn into a persistently generated CO</span><sub>2</sub><span>-rich gas phase over a minimum of 8 years. This (</span><sup>210</sup><span>Pb) deficit implies an average magma ascent rate of ≤3·7 km a</span><sup>–1</sup><span><span>&nbsp;</span>from ∼30 km depth to the surface. Spatter and lava associated with vent-opening episodes erupt with variable (</span><sup>210</sup><span>Pb) deficits ranging from 0·7 to near-equilibrium values in some samples. The samples with near-equilibrium (</span><sup>210</sup><span>Pb/</span><sup>226</sup><span>Ra) are typically more differentiated, suggesting decadal timescales of magma storage in shallow conduits or reservoirs that were not degassing. Lava and spatter samples erupted in the East Rift Zone and at the summit had (</span><sup>210</sup><span>Po) ∼0 at the time of eruption, which results from efficient partitioning of Po into the CO</span><sub>2</sub><span>- and SO</span><sub>2</sub><span>-rich gas phases during and prior to eruption. Summit ash and Pele’s hair samples from 2008 differ from lava and lapilli samples in that they have elevated initial (</span><sup>210</sup><span>Po), (</span><sup>210</sup><span>Pb/</span><sup>226</sup><span>Ra), and Pb concentrations because of Po condensation on tephra particles, and incorporation of fumarolic Po and Pb into erupted tephra fragments during quenching.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egx051","usgsCitation":"Girard, G., Reagan, M.K., Sims, K., Thornber, C., Waters, C.L., and Phillips, E.H., 2017, 238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea: Journal of Petrology, v. 58, no. 6, p. 1199-1226, https://doi.org/10.1093/petrology/egx051.","productDescription":"28 p.","startPage":"1199","endPage":"1226","ipdsId":"IP-073117","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egx051","text":"Publisher Index Page"},{"id":346622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.34530639648438,\n              19.229473413975263\n            ],\n            [\n              -155.0658416748047,\n              19.229473413975263\n            ],\n            [\n              -155.0658416748047,\n              19.452996386512584\n            ],\n            [\n              -155.34530639648438,\n              19.452996386512584\n            ],\n            [\n              -155.34530639648438,\n              19.229473413975263\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-16","publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9dc","contributors":{"authors":[{"text":"Girard, Guillaume","contributorId":197084,"corporation":false,"usgs":false,"family":"Girard","given":"Guillaume","email":"","affiliations":[],"preferred":false,"id":712516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reagan, Mark K.","contributorId":54496,"corporation":false,"usgs":true,"family":"Reagan","given":"Mark","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":712517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sims, Kenneth W. W.","contributorId":197086,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth W. W.","affiliations":[],"preferred":false,"id":712518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thornber, Carl 0000-0002-6382-4408 cthornber@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-4408","contributorId":167396,"corporation":false,"usgs":true,"family":"Thornber","given":"Carl","email":"cthornber@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":712515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters, Christopher L.","contributorId":197087,"corporation":false,"usgs":false,"family":"Waters","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, Erin H.","contributorId":184202,"corporation":false,"usgs":false,"family":"Phillips","given":"Erin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":712520,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192842,"text":"70192842 - 2017 - Durable terrestrial bedrock predicts submarine canyon formation","interactions":[],"lastModifiedDate":"2017-11-17T10:51:08","indexId":"70192842","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Durable terrestrial bedrock predicts submarine canyon formation","docAbstract":"<p><span>Though submarine canyons are first-order topographic features of Earth, the processes responsible for their occurrence remain poorly understood. Potentially analogous studies of terrestrial rivers show that the flux and caliber of transported bedload are significant controls on bedrock incision. Here we hypothesize that coarse sediment load could exert a similar role in the formation of submarine canyons. We conducted a comprehensive empirical analysis of canyon occurrence along the West Coast of the contiguous United States which indicates that submarine canyon occurrence is best predicted by the occurrence of durable crystalline bedrock in adjacent terrestrial catchments. Canyon occurrence is also predicted by the flux of bed sediment to shore from terrestrial streams. Surprisingly, no significant correlation was observed between canyon occurrence and the slope or width of the continental shelf. These findings suggest that canyon incision is promoted by greater yields of durable terrestrial clasts to the shore.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL075139","usgsCitation":"Smith, E., Finnegan, N.J., Mueller, E.R., and Best, R.J., 2017, Durable terrestrial bedrock predicts submarine canyon formation: Geophysical Research Letters, v. 44, no. 20, p. 10332-10340, https://doi.org/10.1002/2017GL075139.","productDescription":"9 p.","startPage":"10332","endPage":"10340","ipdsId":"IP-085835","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":349055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"20","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-17","publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22e9a","contributors":{"authors":[{"text":"Smith, Elliot","contributorId":198802,"corporation":false,"usgs":false,"family":"Smith","given":"Elliot","email":"","affiliations":[],"preferred":false,"id":717158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finnegan, Noah J.","contributorId":198803,"corporation":false,"usgs":false,"family":"Finnegan","given":"Noah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Erich R. 0000-0001-8202-154X emueller@usgs.gov","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":4930,"corporation":false,"usgs":true,"family":"Mueller","given":"Erich","email":"emueller@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":717157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Best, Rebecca J.","contributorId":198804,"corporation":false,"usgs":false,"family":"Best","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717160,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192465,"text":"70192465 - 2017 - Wastewater disposal and the earthquake sequences during 2016 near Fairview, Pawnee, and Cushing, Oklahoma","interactions":[],"lastModifiedDate":"2017-10-31T14:26:35","indexId":"70192465","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Wastewater disposal and the earthquake sequences during 2016 near Fairview, Pawnee, and Cushing, Oklahoma","docAbstract":"<p><span>Each of the three earthquake sequences in Oklahoma in 2016—Fairview, Pawnee, and Cushing—appears to have been induced by high-volume wastewater disposal within 10&nbsp;km. The Fairview&nbsp;</span><i>M</i><span>5.1 main shock was part of a 2&nbsp;year sequence of more than 150 events of<span>&nbsp;</span></span><i>M</i><span>3, or greater; the main shock accounted for about half of the total moment. The foreshocks and aftershocks of the<span>&nbsp;</span></span><i>M</i><span>5.8 Pawnee earthquake were too small and too few to contribute significantly to the cumulative moment; instead, nearly all of the moment induced by wastewater injection was focused on the main shock. The<span>&nbsp;</span></span><i>M</i><span>5.0 Cushing event is part of a sequence that includes 48 earthquakes of<span>&nbsp;</span></span><i>M</i><span>3, or greater, that are mostly foreshocks. The cumulative moment for each of the three sequences during 2016, as well as that for the 2011 Prague, Oklahoma, and nine other sequences representing a broad range of injected volume, are all limited by the total volumes of wastewater injected locally.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL075258","usgsCitation":"McGarr, A.F., and Barbour, A.J., 2017, Wastewater disposal and the earthquake sequences during 2016 near Fairview, Pawnee, and Cushing, Oklahoma: Geophysical Research Letters, v. 44, no. 18, p. 9330-9336, https://doi.org/10.1002/2017GL075258.","productDescription":"7 p.","startPage":"9330","endPage":"9336","ipdsId":"IP-088271","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl075258","text":"Publisher Index Page"},{"id":347893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Cushing, Fairview, Pawnee","volume":"44","issue":"18","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-30","publicationStatus":"PW","scienceBaseUri":"59f98bb4e4b0531197af9fe1","contributors":{"authors":[{"text":"McGarr, Arthur F. 0000-0001-9769-4093 mcgarr@usgs.gov","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":3178,"corporation":false,"usgs":true,"family":"McGarr","given":"Arthur","email":"mcgarr@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":197158,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","email":"abarbour@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715986,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191418,"text":"70191418 - 2017 - Martian cave air-movement via Helmholtz resonance","interactions":[],"lastModifiedDate":"2017-10-11T14:31:36","indexId":"70191418","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5512,"text":"International Journal of Speleology","active":true,"publicationSubtype":{"id":10}},"title":"Martian cave air-movement via Helmholtz resonance","docAbstract":"<p><span>Infrasonic resonance has previously been measured in terrestrial caves by other researchers, where Helmholtz resonance has been suggested as the plausible mechanism resulting in periodic wind reversals within cave entrances. We extend this reasoning to possible Martian caves, where we examine the characteristics of four atypical pit craters (APCs) on Tharsis, suggested as candidate cave entrance locations. The results show that, for several possible cave air movement periods, we are able to infer the approximate cave volumes. The utility of inferring cave volumes for planetary cave exploration is discussed.</span></p>","language":"English","publisher":"University of South Florida","doi":"10.5038/1827-806X.46.3.2130","usgsCitation":"Williams, K.E., Titus, T.N., Okubo, C., and Cushing, G.E., 2017, Martian cave air-movement via Helmholtz resonance: International Journal of Speleology, v. 46, no. 3, p. 493-444, https://doi.org/10.5038/1827-806X.46.3.2130.","productDescription":"6 p.","startPage":"493","endPage":"444","ipdsId":"IP-085454","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5038/1827-806x.46.3.2130","text":"Publisher Index Page"},{"id":346513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59defbb4e4b05fe04ccd3d49","contributors":{"authors":[{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":712170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":712171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":712172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cushing, Glen E. 0000-0002-9673-8207 gcushing@usgs.gov","orcid":"https://orcid.org/0000-0002-9673-8207","contributorId":175449,"corporation":false,"usgs":true,"family":"Cushing","given":"Glen","email":"gcushing@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":712173,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192823,"text":"70192823 - 2017 - Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway","interactions":[],"lastModifiedDate":"2017-11-10T10:13:25","indexId":"70192823","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5203,"text":"Emerging Microbes & Infections","active":true,"publicationSubtype":{"id":10}},"title":"Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway","docAbstract":"<p><span>We used surveillance data collected in California before, concurrent with, and subsequent to an outbreak of highly pathogenic (HP) clade 2.3.4.4 influenza A viruses (IAVs) in 2014–2015 to (i) evaluate IAV prevalence in waterfowl, (ii) assess the evidence for spill-over infections in marine mammals and (iii) genetically characterize low-pathogenic (LP) and HP IAVs to refine inference on the spatiotemporal extent of HP genome constellations and to evaluate possible evolutionary pathways. We screened samples from 1496 waterfowl and 1142 marine mammals collected from April 2014 to August 2015 and detected IAV RNA in 159 samples collected from birds (</span><i>n</i><span class=\"mb\">=</span><span>157) and pinnipeds (</span><i>n</i><span class=\"mb\">=</span><span>2). HP IAV RNA was identified in three samples originating from American wigeon (</span><i>Anas americana</i><span>). Genetic sequence data were generated for a clade 2.3.4.4 HP IAV-positive diagnostic sample and 57 LP IAV isolates. Phylogenetic analyses revealed that the HP IAV was a reassortant H5N8 virus with gene segments closely related to LP IAVs detected in mallards (</span><i>Anas platyrhynchos</i><span>) sampled in California and other IAVs detected in wild birds sampled within the Pacific Americas Flyway. In addition, our analysis provided support for common ancestry between LP IAVs recovered from waterfowl sampled in California and gene segments of reassortant HP H5N1 IAVs detected in British Columbia, Canada and Washington, USA. Our investigation provides evidence that waterfowl are likely to have played a role in the evolution of reassortant HP IAVs in the Pacific Americas Flyway during 2014–2015, whereas we did not find support for spill-over infections in potential pinniped hosts.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/emi.2017.66","usgsCitation":"Ramey, A.M., Hill, N.J., Cline, T., Plancarte, M., De La Cruz, S., Casazza, M.L., Ackerman, J., Fleskes, J.P., Vickers, T.W., Reeves, A.B., Gulland, F., Fontaine, C., Prosser, D.J., Runstadler, J., and Boyce, W.M., 2017, Surveillance for highly pathogenic influenza A viruses in California during 2014–2015 provides insights into viral evolutionary pathways and the spatiotemporal extent of viruses in the Pacific Americas Flyway: Emerging Microbes & Infections, v. 6, p. 1-10, https://doi.org/10.1038/emi.2017.66.","productDescription":"e80; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-086106","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":482057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/emi.2017.66","text":"Publisher Index Page"},{"id":348062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-15","publicationStatus":"PW","scienceBaseUri":"59fadd20e4b0531197b13c7b","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":717066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":717067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cline, Troy","contributorId":198753,"corporation":false,"usgs":false,"family":"Cline","given":"Troy","affiliations":[],"preferred":false,"id":717068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plancarte, Magdalena","contributorId":198754,"corporation":false,"usgs":false,"family":"Plancarte","given":"Magdalena","email":"","affiliations":[],"preferred":false,"id":717069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan sdelacruz@usgs.gov","contributorId":131159,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":717072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":717073,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vickers, T. Winston","contributorId":198755,"corporation":false,"usgs":false,"family":"Vickers","given":"T.","email":"","middleInitial":"Winston","affiliations":[],"preferred":false,"id":717074,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717075,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gulland, Frances","contributorId":198756,"corporation":false,"usgs":false,"family":"Gulland","given":"Frances","affiliations":[],"preferred":false,"id":717076,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fontaine, Christine","contributorId":198757,"corporation":false,"usgs":false,"family":"Fontaine","given":"Christine","email":"","affiliations":[],"preferred":false,"id":717077,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":717078,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Runstadler, Jonathan","contributorId":198758,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","affiliations":[],"preferred":false,"id":717079,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Boyce, Walter M.","contributorId":75671,"corporation":false,"usgs":true,"family":"Boyce","given":"Walter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717080,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70191365,"text":"70191365 - 2017 - Geothermal implications of a refined composition-age geologic map for the volcanic terrains of southeast Oregon, northeast California, and southwest Idaho, USA","interactions":[],"lastModifiedDate":"2017-10-16T14:49:49","indexId":"70191365","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geothermal implications of a refined composition-age geologic map for the volcanic terrains of southeast Oregon, northeast California, and southwest Idaho, USA","docAbstract":"Sufficient temperatures to generate steam likely exist under most of the dominantly volcanic terrains of southeast Oregon, northeast California, and southeast Idaho, USA, but finding sufficient permeability to allow efficient advective heat exchange is an outstanding challenge. A new thematic interpretation of existing state-level geologic maps provides an updated and refined distribution of the composition and age of geologic units for the purposes of assessing the implications for measurement and development of geothermal resources. This interpretation has been developed to better understand geothermal and hydrologic resources of the region. Comparison of the new geologic categories with available hydrologic data shows that younger volcanogenic terrains tend to have higher primary permeability than older terrains. Decrease in primary permeability with age is attributable to weathering and hydrothermal alteration of volcanogenic deposits to pore-filling clays and deposition of secondary deposits (e.g., zeolites). Spring density as a function of geology and precipitation can be used to infer groundwater flow path length within the upper aquifers. Beneath the upper aquifers, we postulate that, due to accelerated hydrothermal alteration at temperatures ~>30 °C, primary permeability at depths of geothermal interest will be limited, and that secondary permeability is a more viable target for hydrothermal fluid withdrawal. Because open fractures resulting from tensile stresses will affect all geologic layers, regions with a significant amount of groundwater flow through shallow, structurally controlled secondary permeability may overlay zones of deep secondary permeability. Regardless of whether the shallow permeability is connected with the deep permeability, shallow groundwater flow can mask the presence of deep hydrothermal flow, resulting in blind geothermal systems. Ideally, hydraulic connectivity between shallow and deep secondary permeability is limited, so that shallow groundwater does not cool potential geothermal reservoirs.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geothermal Resources Transactions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Burns, E.R., Gannett, M.W., Sherrod, D.R., Keith, M.K., Curtis, J.A., Bartolino, J.R., Engott, J.A., Scandella, B.P., Stern, M.A., and Flint, A.L., 2017, Geothermal implications of a refined composition-age geologic map for the volcanic terrains of southeast Oregon, northeast California, and southwest Idaho, USA, <i>in</i> Geothermal Resources Transactions, v. 41.","ipdsId":"IP-086602","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":346637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346456,"type":{"id":15,"text":"Index Page"},"url":"https://geothermal.org/transactions.html"}],"volume":"41","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9de","contributors":{"authors":[{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":712097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gannett, Marshall W. 0000-0003-2498-2427 mgannett@usgs.gov","orcid":"https://orcid.org/0000-0003-2498-2427","contributorId":2942,"corporation":false,"usgs":true,"family":"Gannett","given":"Marshall","email":"mgannett@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":712099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Mackenzie K. 0000-0002-7239-0576 mkeith@usgs.gov","orcid":"https://orcid.org/0000-0002-7239-0576","contributorId":196963,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie","email":"mkeith@usgs.gov","middleInitial":"K.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712100,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curtis, Jennifer A. 0000-0001-7766-994X jacurtis@usgs.gov","orcid":"https://orcid.org/0000-0001-7766-994X","contributorId":927,"corporation":false,"usgs":true,"family":"Curtis","given":"Jennifer","email":"jacurtis@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712101,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartolino, James R. 0000-0002-2166-7803 jrbartol@usgs.gov","orcid":"https://orcid.org/0000-0002-2166-7803","contributorId":2548,"corporation":false,"usgs":true,"family":"Bartolino","given":"James","email":"jrbartol@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712102,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Engott, John A. 0000-0003-1889-4519 jaengott@usgs.gov","orcid":"https://orcid.org/0000-0003-1889-4519","contributorId":1142,"corporation":false,"usgs":true,"family":"Engott","given":"John","email":"jaengott@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712103,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scandella, Benjamin P.","contributorId":169274,"corporation":false,"usgs":false,"family":"Scandella","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":712104,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712105,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":712106,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70191363,"text":"70191363 - 2017 - A fault‐based model for crustal deformation in the western United States based on a combined inversion of GPS and geologic inputs","interactions":[],"lastModifiedDate":"2018-03-28T14:55:47","indexId":"70191363","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A fault‐based model for crustal deformation in the western United States based on a combined inversion of GPS and geologic inputs","docAbstract":"<p><span>We develop a crustal deformation model to determine fault‐slip rates for the western United States (WUS) using the&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf42\">Zeng and Shen (2014)</a><span><span>&nbsp;</span>method that is based on a combined inversion of Global Positioning System (GPS) velocities and geological slip‐rate constraints. The model consists of six blocks with boundaries aligned along major faults in California and the Cascadia subduction zone, which are represented as buried dislocations in the Earth. Faults distributed within blocks have their geometrical structure and locking depths specified by the Uniform California Earthquake Rupture Forecast, version 3 (UCERF3) and the 2008 U.S. Geological Survey National Seismic Hazard Map Project model. Faults slip beneath a predefined locking depth, except for a few segments where shallow creep is allowed. The slip rates are estimated using a least‐squares inversion. The model resolution analysis shows that the resulting model is influenced heavily by geologic input, which fits the UCERF3 geologic bounds on California B faults and ±one‐half of the geologic slip rates for most other WUS faults. The modeled slip rates for the WUS faults are consistent with the observed GPS velocity field. Our fit to these velocities is measured in terms of a normalized chi‐square, which is 6.5. This updated model fits the data better than most other geodetic‐based inversion models. Major discrepancies between well‐resolved GPS inversion rates and geologic‐consensus rates occur along some of the northern California A faults, the Mojave to San Bernardino segments of the San Andreas fault, the western Garlock fault, the southern segment of the Wasatch fault, and other faults. Off‐fault strain‐rate distributions are consistent with regional tectonics, with a total off‐fault moment rate of<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>7.2</mn><mo xmlns=&quot;&quot;>&amp;#xD7;</mo><msup xmlns=&quot;&quot;><mn>10</mn><mn>18</mn></msup></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mn\">7.2</span><span id=\"MathJax-Span-4\" class=\"mo\">×</span><span id=\"MathJax-Span-5\" class=\"msup\"><span><span><span id=\"MathJax-Span-6\" class=\"mn\">10</span></span><sup><span><span id=\"MathJax-Span-7\" class=\"mn\">18&nbsp;</span></span></sup></span></span></span></span></span></span></span></span><span>and<span>&nbsp;</span></span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mn xmlns=&quot;&quot;>8.5</mn><mo xmlns=&quot;&quot;>&amp;#xD7;</mo><msup xmlns=&quot;&quot;><mn>10</mn><mn>18</mn></msup><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>N</mi><mo xmlns=&quot;&quot; lspace=&quot;0em&quot; rspace=&quot;0em&quot;>&amp;#xB7;</mo><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot;>year</mi></math>\"><span id=\"MathJax-Span-8\" class=\"math\"><span><span><span id=\"MathJax-Span-9\" class=\"mrow\"><span id=\"MathJax-Span-10\" class=\"mn\">8.5</span><span id=\"MathJax-Span-11\" class=\"mo\">×</span><span id=\"MathJax-Span-12\" class=\"msup\"><span><span><span id=\"MathJax-Span-13\" class=\"mn\">10</span></span><sup><span><span id=\"MathJax-Span-14\" class=\"mn\">18</span></span></sup></span></span><span id=\"MathJax-Span-15\" class=\"mtext\">  </span><span id=\"MathJax-Span-16\" class=\"mi\">N</span><span id=\"MathJax-Span-17\" class=\"mo\">⋅</span><span id=\"MathJax-Span-18\" class=\"mi\">m</span><span id=\"MathJax-Span-19\" class=\"mo\">/</span><span id=\"MathJax-Span-20\" class=\"mi\">year</span></span></span></span></span></span></span><span><span>&nbsp;</span>for California and the WUS outside California, respectively.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150362","usgsCitation":"Zeng, Y., and Shen, Z., 2017, A fault‐based model for crustal deformation in the western United States based on a combined inversion of GPS and geologic inputs: Bulletin of the Seismological Society of America, v. 107, no. 6, p. 2597-2612, https://doi.org/10.1785/0120150362.","productDescription":"16 p.","startPage":"2597","endPage":"2612","ipdsId":"IP-077581","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-10","publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc3a7","contributors":{"authors":[{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shen, Zheng-Kang","contributorId":196962,"corporation":false,"usgs":false,"family":"Shen","given":"Zheng-Kang","email":"","affiliations":[],"preferred":false,"id":712094,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191356,"text":"70191356 - 2017 - The lethality of hot water and ozone to aquatic invasive species","interactions":[],"lastModifiedDate":"2017-10-16T14:50:45","indexId":"70191356","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":21,"text":"Thesis"},"publicationSubtype":{"id":28,"text":"Thesis"},"title":"The lethality of hot water and ozone to aquatic invasive species","docAbstract":"The spread of Aquatic Invasive Species (AIS) between the Great Lakes and Mississippi River Basin by way of the Chicago Area Waterway System (CAWS) is a pressing concern to resource managers in the Midwest region. Augmenting this spread are watercrafts traveling through the CAWS locks and dams. AIS are able to attach to boat hulls, equipment, or are present in the surrounding water during lock transfers. It has been proposed that chemically treating boats during lock transfers would be an effective way to reduce the spread of AIS. Of a range of treatments identified as candidates to do this, hot water and dissolved ozone ranked high as effective treatments causing the least amount of environmental impact. This study assessed the lethality of hot water and dissolved ozone, separately and in combination, on select AIS in a laboratory setting. Species were exposed to water temperatures ranging from 18 to 50°C, ozone concentrations ranging from 0 to 920 ORP (Oxidation-Reduction Potential), and exposure durations ranging from 10 to 60 min to find treatments capable of inducing 100% mortality. Results indicated that water at 45°C achieved 100% mortality in all species tested with a 10 min exposure. Ozone concentrations induced significant mortality to all species tested, particularly when combined with elevated temperatures.","language":"English","publisher":"University of Wisconsin-La Crosse","usgsCitation":"Buley, R., 2017, The lethality of hot water and ozone to aquatic invasive species, 40 p.","productDescription":"40 p.","ipdsId":"IP-085735","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":346638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9e0","contributors":{"authors":[{"text":"Buley, Riley 0000-0003-0721-3933 rbuley@usgs.gov","orcid":"https://orcid.org/0000-0003-0721-3933","contributorId":196956,"corporation":false,"usgs":true,"family":"Buley","given":"Riley","email":"rbuley@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712071,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192801,"text":"70192801 - 2017 - Presentation and analysis of a worldwide database of earthquake-induced landslide inventories","interactions":[],"lastModifiedDate":"2017-11-29T13:40:16","indexId":"70192801","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Presentation and analysis of a worldwide database of earthquake-induced landslide inventories","docAbstract":"<p><span>Earthquake-induced landslide (EQIL) inventories are essential tools to extend our knowledge of the relationship between earthquakes and the landslides they can trigger. Regrettably, such inventories are difficult to generate and therefore scarce, and the available ones differ in terms of their quality and level of completeness. Moreover, access to existing EQIL inventories is currently difficult because there is no centralized database. To address these issues, we compiled EQIL inventories from around the globe based on an extensive literature study. The database contains information on 363 landslide-triggering earthquakes and includes 66 digital landslide inventories. To make these data openly available, we created a repository to host the digital inventories that we have permission to redistribute through the U.S. Geological Survey ScienceBase platform. It can grow over time as more authors contribute their inventories. We analyze the distribution of EQIL events by time period and location, more specifically breaking down the distribution by continent, country, and mountain region. Additionally, we analyze frequency distributions of EQIL characteristics, such as the approximate area affected by landslides, total number of landslides, maximum distance from fault rupture zone, and distance from epicenter when the fault plane location is unknown. For the available digital EQIL inventories, we examine the underlying characteristics of landslide size, topographic slope, roughness, local relief, distance to streams, peak ground acceleration, peak ground velocity, and Modified Mercalli Intensity. Also, we present an evaluation system to help users assess the suitability of the available inventories for different types of EQIL studies and model development.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017JF004236","usgsCitation":"Tanyas, H., van Westen, C.J., Allstadt, K.E., Nowicki Jessee, M., Gorum, T., Jibson, R.W., Godt, J.W., Sato, H., Schmitt, R.G., Marc, O., and Hovius, N., 2017, Presentation and analysis of a worldwide database of earthquake-induced landslide inventories: Journal of Geophysical Research F: Earth Surface, v. 122, no. 10, p. 1991-2015, https://doi.org/10.1002/2017JF004236.","productDescription":"25 p.","startPage":"1991","endPage":"2015","ipdsId":"IP-087814","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469483,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jf004236","text":"Publisher Index Page"},{"id":349542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-30","publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22e9d","contributors":{"authors":[{"text":"Tanyas, Hakan","contributorId":198731,"corporation":false,"usgs":false,"family":"Tanyas","given":"Hakan","affiliations":[],"preferred":false,"id":716989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Westen, Cees J.","contributorId":196188,"corporation":false,"usgs":false,"family":"van Westen","given":"Cees","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":716991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nowicki Jessee, M. Anna","contributorId":196186,"corporation":false,"usgs":false,"family":"Nowicki Jessee","given":"M. Anna","affiliations":[],"preferred":false,"id":716992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gorum, Tolga","contributorId":196190,"corporation":false,"usgs":false,"family":"Gorum","given":"Tolga","affiliations":[],"preferred":false,"id":716993,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":716994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":716995,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sato, Hiroshi P.","contributorId":196189,"corporation":false,"usgs":false,"family":"Sato","given":"Hiroshi P.","affiliations":[],"preferred":false,"id":716996,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmitt, Robert G. 0000-0001-8060-1954 rschmitt@usgs.gov","orcid":"https://orcid.org/0000-0001-8060-1954","contributorId":5611,"corporation":false,"usgs":true,"family":"Schmitt","given":"Robert","email":"rschmitt@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":716997,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Marc, Odin","contributorId":198732,"corporation":false,"usgs":false,"family":"Marc","given":"Odin","email":"","affiliations":[],"preferred":false,"id":716998,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hovius, Niels","contributorId":198733,"corporation":false,"usgs":false,"family":"Hovius","given":"Niels","email":"","affiliations":[],"preferred":false,"id":716999,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70193534,"text":"70193534 - 2017 - Estimating Mudpuppy (Necturus maculosus) abundance in the Lamoille River, Vermont, USA","interactions":[],"lastModifiedDate":"2017-11-14T13:37:04","indexId":"70193534","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimating Mudpuppy (<i>Necturus maculosus</i>) abundance in the Lamoille River, Vermont, USA","title":"Estimating Mudpuppy (Necturus maculosus) abundance in the Lamoille River, Vermont, USA","docAbstract":"<p>The Mudpuppy (Necturus maculosus) is classified as a Species of Greatest Conservation Need by the state of Vermont. There is concern regarding status of populations in the Lake Champlain basin because of habitat alteration and potential effects of 3-trifluromethyl-4-nitrophenol (TFM), a chemical used to control Sea Lamprey (Petromyzon marinus). The purpose of our research was to assess Mudpuppy capture methods and abundance in the Lamoille River, Vermont, USA. We sampled Mudpuppies under a mark-recapture framework, using modified, baited minnow traps set during two winter-spring periods. We marked each Mudpuppy with a passive integrated transponder (PIT) tag and released individuals after collecting morphological measurements. We collected 80 individuals during 2,581 trap days in 2008–2009 (year 1), and 81 individuals during 3,072 trap days in 2009–2010 (year 2). We estimated abundance from spring trapping periods in 2009 and 2010, during which capture rates were sufficient for analysis. Capture probability was low (&lt; 0.04), but highest following precipitation events in spring, during periods of higher river flow, when water temperatures were approximately 3 to 6° C. During October 2009, management agencies treated the Lamoille River with TFM. Surveyors recovered more than 500 dead Mudpuppies during the post-treatment assessment. Overall, Mudpuppy captures did not change between sampling periods; however, we captured fewer females during year 2 compared to year 1, and the sex ratio changed from 0.79:1 (M:F) during year 1 to 3:1 (M:F) during year 2. Our data may help wildlife managers assess population status of Mudpuppies in conjunction with fisheries management techniques.</p>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Chellman, I.C., Parrish, D.L., and Donovan, T., 2017, Estimating Mudpuppy (Necturus maculosus) abundance in the Lamoille River, Vermont, USA: Herpetological Conservation and Biology, v. 12, no. 2, p. 422-434.","productDescription":"13 p.","startPage":"422","endPage":"434","ipdsId":"IP-056683","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Lamoille River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.17598342895506,\n              44.630489423286996\n            ],\n            [\n              -73.16044807434082,\n              44.630489423286996\n            ],\n            [\n              -73.16044807434082,\n              44.63983415674708\n            ],\n            [\n              -73.17598342895506,\n              44.63983415674708\n            ],\n            [\n              -73.17598342895506,\n              44.630489423286996\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22e8e","contributors":{"authors":[{"text":"Chellman, Isaac C.","contributorId":200358,"corporation":false,"usgs":false,"family":"Chellman","given":"Isaac","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":722045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Therese M. tdonovan@usgs.gov","contributorId":2653,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese M.","email":"tdonovan@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":722046,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193536,"text":"70193536 - 2017 - Development of a foraging model framework to reliably estimate daily food consumption by young fishes","interactions":[],"lastModifiedDate":"2017-11-14T13:31:59","indexId":"70193536","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Development of a foraging model framework to reliably estimate daily food consumption by young fishes","docAbstract":"<p><span>We developed a foraging model for young fishes that incorporates handling and digestion rate to estimate daily food consumption. Feeding trials were used to quantify functional feeding response, satiation, and gut evacuation rate. Once parameterized, the foraging model was then applied to evaluate effects of prey type, prey density, water temperature, and fish size on daily feeding rate by age-0 (19–70 mm) pallid sturgeon (</span><i>Scaphirhynchus albus</i><span>). Prey consumption was positively related to prey density (for fish &gt;30 mm) and water temperature, but negatively related to prey size and the presence of sand substrate. Model evaluation results revealed good agreement between observed estimates of daily consumption and those predicted by the model (</span><i>r</i><sup>2</sup><span><span>&nbsp;</span>= 0.95). Model simulations showed that fish feeding on Chironomidae or Ephemeroptera larvae were able to gain mass, whereas fish feeding solely on zooplankton lost mass under most conditions. By accounting for satiation and digestive processes in addition to handling time and prey density, the model provides realistic estimates of daily food consumption that can prove useful for evaluating rearing conditions for age-0 fishes.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0331","usgsCitation":"Deslauriers, D., Rosburg, A.J., and Chipps, S.R., 2017, Development of a foraging model framework to reliably estimate daily food consumption by young fishes: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 10, p. 1668-1681, https://doi.org/10.1139/cjfas-2016-0331.","productDescription":"14 p.","startPage":"1668","endPage":"1681","ipdsId":"IP-084925","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469490,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0331","text":"External Repository"},{"id":348836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e26","contributors":{"authors":[{"text":"Deslauriers, David","contributorId":187586,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","email":"","affiliations":[],"preferred":false,"id":722043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosburg, Alex J.","contributorId":200357,"corporation":false,"usgs":false,"family":"Rosburg","given":"Alex","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719301,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191279,"text":"70191279 - 2017 - New insight into the origin of manganese oxide ore deposits in the Appalachian Valley and Ridge of northeastern Tennessee and northern Virginia, USA","interactions":[],"lastModifiedDate":"2017-10-03T12:35:01","indexId":"70191279","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"New insight into the origin of manganese oxide ore deposits in the Appalachian Valley and Ridge of northeastern Tennessee and northern Virginia, USA","docAbstract":"<p><span>Manganese oxide deposits have long been observed in association with carbonates within the Appalachian Mountains, but their origin has remained enigmatic for well over a century. Ore deposits of Mn oxides from several productive sites located in eastern Tennessee and northern Virginia display morphologies that include botryoidal and branching forms, massive nodules, breccia matrix cements, and fracture fills. The primary ore minerals include hollandite, cryptomelane, and romanèchite. Samples of Mn oxides from multiple localities in these regions were analyzed using electron microscopy, X-ray analysis, Fourier transform infrared spectroscopy, and trace and rare earth element (REE) geochemistry. The samples from eastern Tennessee have biological morphologies, contain residual biopolymers, and exhibit REE signatures that suggest the ore formation was due to supergene enrichment (likely coupled with microbial activity). In contrast, several northern Virginia ores hosted within quartz-sandstone breccias exhibit petrographic relations, mineral morphologies, and REE signatures indicating inorganic precipitation, and a likely hydrothermal origin with supergene overprinting. Nodular accumulations of Mn oxides within weathered alluvial deposits that occur close to breccia-hosted Mn deposits in Virginia show geochemical signatures that are distinct from the breccia matrices and appear to reflect remobilization of earlier-emplaced Mn and concentration within supergene traps. Based on the proximity of all of the productive ore deposits to mapped faults or other zones of deformation, we suggest that the primary source of all of the Mn may have been deep seated, and that Mn oxides with supergene and/or biological characteristics resulted from the local remobilization and concentration of this primary Mn.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31682.1","usgsCitation":"Carmichael, S.K., Doctor, D.H., Wilson, C.G., Feierstein, J., and McAleer, R., 2017, New insight into the origin of manganese oxide ore deposits in the Appalachian Valley and Ridge of northeastern Tennessee and northern Virginia, USA: GSA Bulletin, v. 129, no. 9-10, p. 1158-1180, https://doi.org/10.1130/B31682.1.","productDescription":"23 p.","startPage":"1158","endPage":"1180","ipdsId":"IP-080760","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":469486,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":346349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","volume":"129","issue":"9-10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"59d4a1a4e4b05fe04cc4e0e5","contributors":{"authors":[{"text":"Carmichael, Sarah K. 0000-0002-3144-8225","orcid":"https://orcid.org/0000-0002-3144-8225","contributorId":196874,"corporation":false,"usgs":false,"family":"Carmichael","given":"Sarah","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":711837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":711836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Crystal G.","contributorId":196875,"corporation":false,"usgs":false,"family":"Wilson","given":"Crystal","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":711838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feierstein, Joshua","contributorId":196876,"corporation":false,"usgs":false,"family":"Feierstein","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":711839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":711840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193542,"text":"70193542 - 2017 - CWDPRNP: A tool for cervid prion sequence analysis in program R","interactions":[],"lastModifiedDate":"2017-11-14T13:19:31","indexId":"70193542","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5552,"text":"Bioinformatics","active":true,"publicationSubtype":{"id":10}},"title":"CWDPRNP: A tool for cervid prion sequence analysis in program R","docAbstract":"<p><span>Chronic wasting disease is a fatal, neurological disease caused by an infectious prion protein, which affects economically and ecologically important members of the family Cervidae. Single nucleotide polymorphisms within the prion protein gene have been linked to differential susceptibility to the disease in many species. Wildlife managers are seeking to determine the frequencies of disease-associated alleles and genotypes and delineate spatial genetic patterns. The CWDPRNP package, implemented in program R, provides a unified framework for analyzing prion protein gene variability and spatial structure.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/bioinformatics/btx333","usgsCitation":"Miller, W.L., and Walter, W.D., 2017, CWDPRNP: A tool for cervid prion sequence analysis in program R: Bioinformatics, v. 33, no. 19, p. 3096-3097, https://doi.org/10.1093/bioinformatics/btx333.","productDescription":"2 p.","startPage":"3096","endPage":"3097","ipdsId":"IP-083349","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461393,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/bioinformatics/btx333","text":"Publisher Index Page"},{"id":348830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"19","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-26","publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e23","contributors":{"authors":[{"text":"Miller, William L.","contributorId":200356,"corporation":false,"usgs":false,"family":"Miller","given":"William","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719311,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193556,"text":"70193556 - 2017 - Ecological impacts of winter water level drawdowns on lake littoral zones: A review","interactions":[],"lastModifiedDate":"2017-11-14T12:48:00","indexId":"70193556","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Ecological impacts of winter water level drawdowns on lake littoral zones: A review","docAbstract":"<p><span>Freshwater littoral zones harbor diverse ecological communities and serve numerous ecosystem functions that are controlled, in part, by natural water level fluctuations. However, human alteration of lake hydrologic regimes beyond natural fluctuations threaten littoral zone ecological integrity. One type of hydrologic alteration in lakes is winter water level drawdowns, which are frequently employed for hydropower, flood control, and macrophyte control, among other purposes. Here, we synthesize the abiotic and biotic responses to annual and novel winter water level drawdowns in littoral zones of lakes and reservoirs. The dewatering, freezing, and increased erosion of exposed lakebeds drive changes in the littoral zone. Shoreline-specific physicochemical conditions such as littoral slope and shoreline exposure further induce modifications. Loss of fine sediment decreases nutrient availability over time, but desiccation may promote a temporary nutrient pulse upon re-inundation. Annual winter drawdowns can decrease taxonomic richness of macrophytes and benthic invertebrates and shift assemblage composition to favor taxa with r-selected life history strategies and with functional traits resistant to direct and indirect drawdown effects. Fish assemblages, though less directly affected by winter drawdowns (except where there is critically low dissolved oxygen), experience negative effects via indirect pathways like decreased food resources and spawning habitat. We identify eight general research gaps to guide future research that could improve our understanding about the complex effects of winter drawdowns on littoral zone ecology.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00027-017-0549-9","usgsCitation":"Roy, A.H., 2017, Ecological impacts of winter water level drawdowns on lake littoral zones: A review: Aquatic Sciences, v. 79, no. 4, p. 803-824, https://doi.org/10.1007/s00027-017-0549-9.","productDescription":"22 p.","startPage":"803","endPage":"824","ipdsId":"IP-085344","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469482,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00027-017-0549-9","text":"Publisher Index Page"},{"id":348793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-06","publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e20","contributors":{"authors":[{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719355,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70194340,"text":"70194340 - 2017 - The interior structure of Ceres as revealed by surface topography","interactions":[],"lastModifiedDate":"2018-03-29T15:19:26","indexId":"70194340","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"The interior structure of Ceres as revealed by surface topography","docAbstract":"<div class=\"Abstracts\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"as0010\"><p id=\"sp0130\">Ceres, the largest body in the asteroid belt (940 km diameter), provides a unique opportunity to study the interior structure of a volatile-rich dwarf planet. Variations in a planetary body's subsurface rheology and density affect the rate of topographic relaxation. Preferential attenuation of long wavelength topography (≥150 km) on Ceres suggests that the viscosity of its crust decreases with increasing depth. We present finite element (FE) geodynamical simulations of Ceres to identify the internal structures and compositions that best reproduce its topography as observed by the NASA Dawn mission. We infer that Ceres has a mechanically strong crust with maximum effective viscosity ∼10<sup>25</sup><span>&nbsp;</span>Pa s. Combined with density constraints, this rheology suggests a crustal composition of carbonates or phyllosilicates, water ice, and at least 30 volume percent (vol.%) low-density, high-strength phases most consistent with salt and/or clathrate hydrates. The inference of these crustal materials supports the past existence of a global ocean, consistent with the observed surface composition. Meanwhile, we infer that the uppermost ≥60 km of the silicate-rich mantle is mechanically weak with viscosity &lt;10<sup>21</sup><span>&nbsp;</span>Pa s, suggesting the presence of liquid pore fluids in this region and a low temperature history that avoided igneous differentiation due to late accretion or efficient heat loss through hydrothermal processes.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2017.07.053","usgsCitation":"Fu, R., Ermakov, A., Marchi, S., Castillo-Rogez, J., Raymond, C.A., Hager, B., Zuber, M., King, S., Bland, M.T., De Sanctis, M.C., Preusker, F., Park, R., and Russell, C.T., 2017, The interior structure of Ceres as revealed by surface topography: Earth and Planetary Science Letters, v. 476, p. 153-164, https://doi.org/10.1016/j.epsl.2017.07.053.","productDescription":"12 p.","startPage":"153","endPage":"164","ipdsId":"IP-079153","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":352963,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"476","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc3a1","contributors":{"authors":[{"text":"Fu, Roger R.","contributorId":200797,"corporation":false,"usgs":false,"family":"Fu","given":"Roger R.","affiliations":[],"preferred":false,"id":723358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ermakov, Anton","contributorId":189478,"corporation":false,"usgs":false,"family":"Ermakov","given":"Anton","email":"","affiliations":[],"preferred":false,"id":723359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marchi, Simone","contributorId":192193,"corporation":false,"usgs":false,"family":"Marchi","given":"Simone","affiliations":[],"preferred":false,"id":723360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castillo-Rogez, Julie C.","contributorId":172691,"corporation":false,"usgs":false,"family":"Castillo-Rogez","given":"Julie C.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":723361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raymond, Carol A.","contributorId":200798,"corporation":false,"usgs":false,"family":"Raymond","given":"Carol","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723362,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hager, Bradford","contributorId":200799,"corporation":false,"usgs":false,"family":"Hager","given":"Bradford","email":"","affiliations":[],"preferred":false,"id":723363,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zuber, Maria","contributorId":200800,"corporation":false,"usgs":false,"family":"Zuber","given":"Maria","email":"","affiliations":[],"preferred":false,"id":723364,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"King, Scott D.","contributorId":191293,"corporation":false,"usgs":false,"family":"King","given":"Scott D.","affiliations":[],"preferred":false,"id":723365,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":723357,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"De Sanctis, Maria Cristina","contributorId":200801,"corporation":false,"usgs":false,"family":"De Sanctis","given":"Maria","email":"","middleInitial":"Cristina","affiliations":[],"preferred":false,"id":723366,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Preusker, Frank","contributorId":200802,"corporation":false,"usgs":false,"family":"Preusker","given":"Frank","email":"","affiliations":[],"preferred":false,"id":723367,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Park, Ryan S.","contributorId":200803,"corporation":false,"usgs":false,"family":"Park","given":"Ryan S.","affiliations":[],"preferred":false,"id":723368,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Russell, Christopher T.","contributorId":200804,"corporation":false,"usgs":false,"family":"Russell","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":723369,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70194323,"text":"70194323 - 2017 - Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA","interactions":[],"lastModifiedDate":"2017-11-22T13:43:20","indexId":"70194323","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA","docAbstract":"<p><span>The disturbance history, plant species composition, productivity, and structural complexity of a site can exert bottom-up controls on arthropod diversity, abundance, and trophic structure. Regulation alters the hydrology and disturbance regimes of rivers and affects riparian habitats by changing plant quality parameters. Fifty years of regulation along the Colorado River downstream of Glen Canyon Dam has created a no-analog, postdam “lower” riparian zone close to the water's edge that includes tamarisk (</span><i>Tamarix</i><span><span>&nbsp;</span>sp.), a nonnative riparian shrub. At the same time, the predam “upper” facultative riparian zone has persisted several meters above the current flood stage. In summer 2009, we used pitfall traps within these 2 riparian zones that differ in plant composition, productivity, and disturbance frequency to test for differences in arthropod community (Hymenoptera, Arachnida, and Coleoptera) structure. Arthropod community structure differed substantially between the 2 zones. Arthropod abundance and species richness was highest in the predam upper riparian zone, even though there was a greater amount of standing plant biomass in the postdam lower riparian zone. Omnivore abundance was proportionately greater in the upper riparian zone and was associated with lower estimated productivity values. Predators and detritivores were proportionately greater in the postdam lower riparian zone. In this case, river regulation may create habitats that support species of spiders and carabid beetles, but few other species that are exclusive to this zone. The combined richness found in both zones suggests a small increase in total richness and functional diversity for the Glen Canyon reach of the Colorado River.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.077.0309","usgsCitation":"Ralston, B., Cobb, N.S., Brantley, S.L., Higgins, J., and Yackulic, C.B., 2017, Taxonomic and compositional differences of ground-dwelling arthropods in riparian habitats in Glen Canyon, Arizona, USA: Western North American Naturalist, v. 77, no. 3, p. 369-384, https://doi.org/10.3398/064.077.0309.","productDescription":"16 p.","startPage":"369","endPage":"384","ipdsId":"IP-026020","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488818,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol77/iss3/8","text":"External Repository"},{"id":438202,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7154FH8","text":"USGS data release","linkHelpText":"Ground-dwelling arthropods along the Colorado River in Arizona, USAData"},{"id":349285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Glen Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.08203125,\n              35.65729624809628\n            ],\n            [\n              -111.3134765625,\n              35.65729624809628\n            ],\n            [\n              -111.3134765625,\n              36.98500309285596\n            ],\n            [\n              -114.08203125,\n              36.98500309285596\n            ],\n            [\n              -114.08203125,\n              35.65729624809628\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"77","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e14","contributors":{"authors":[{"text":"Ralston, Barbara 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":195797,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":723301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cobb, Neil S.","contributorId":200776,"corporation":false,"usgs":false,"family":"Cobb","given":"Neil","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":723303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brantley, Sandra L.","contributorId":200777,"corporation":false,"usgs":false,"family":"Brantley","given":"Sandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higgins, Jacob","contributorId":200775,"corporation":false,"usgs":false,"family":"Higgins","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":723302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":723305,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194310,"text":"70194310 - 2017 - Harvesting wildlife affected by climate change: a modelling and management approach for polar bears","interactions":[],"lastModifiedDate":"2017-11-22T11:41:08","indexId":"70194310","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Harvesting wildlife affected by climate change: a modelling and management approach for polar bears","docAbstract":"<ol id=\"jpe12864-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>The conservation of many wildlife species requires understanding the demographic effects of climate change, including interactions between climate change and harvest, which can provide cultural, nutritional or economic value to humans.</li><li>We present a demographic model that is based on the polar bear<span>&nbsp;</span><i>Ursus maritimus</i><span>&nbsp;</span>life cycle and includes density-dependent relationships linking vital rates to environmental carrying capacity (<i>K</i>). Using this model, we develop a state-dependent management framework to calculate a harvest level that (i) maintains a population above its maximum net productivity level (MNPL; the population size that produces the greatest net increment in abundance) relative to a changing<span>&nbsp;</span><i>K</i>, and (ii) has a limited negative effect on population persistence.</li><li>Our density-dependent relationships suggest that MNPL for polar bears occurs at approximately 0·69 (95% CI&nbsp;=&nbsp;0·63–0·74) of<span>&nbsp;</span><i>K</i>. Population growth rate at MNPL was approximately 0·82 (95% CI&nbsp;=&nbsp;0·79–0·84) of the maximum intrinsic growth rate, suggesting relatively strong compensation for human-caused mortality.</li><li>Our findings indicate that it is possible to minimize the demographic risks of harvest under climate change, including the risk that harvest will accelerate population declines driven by loss of the polar bear's sea-ice habitat. This requires that (i) the harvest rate – which could be 0 in some situations – accounts for a population's intrinsic growth rate, (ii) the harvest rate accounts for the quality of population data (e.g. lower harvest when uncertainty is large), and (iii) the harvest level is obtained by multiplying the harvest rate by an updated estimate of population size. Environmental variability, the sex and age of removed animals and risk tolerance can also affect the harvest rate.</li><li><i>Synthesis and applications</i>. We present a coupled modelling and management approach for wildlife that accounts for climate change and can be used to balance trade-offs among multiple conservation goals. In our example application to polar bears experiencing sea-ice loss, the goals are to maintain population viability while providing continued opportunities for subsistence harvest. Our approach may be relevant to other species for which near-term management is focused on human factors that directly influence population dynamics within the broader context of climate-induced habitat degradation.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12864","usgsCitation":"Regehr, E.V., Wilson, R.H., Rode, K.D., Runge, M.C., and Stern, H., 2017, Harvesting wildlife affected by climate change: a modelling and management approach for polar bears: Journal of Applied Ecology, v. 54, no. 5, p. 1534-1543, https://doi.org/10.1111/1365-2664.12864.","productDescription":"10 p.","startPage":"1534","endPage":"1543","ipdsId":"IP-076053","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12864","text":"Publisher Index Page"},{"id":349269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-08","publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e17","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":723217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":723218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stern, Harry","contributorId":192065,"corporation":false,"usgs":false,"family":"Stern","given":"Harry","email":"","affiliations":[],"preferred":false,"id":723290,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191112,"text":"70191112 - 2017 - Hypogene caves of the central Appalachian Shenandoah Valley in Virginia","interactions":[],"lastModifiedDate":"2017-10-03T12:48:06","indexId":"70191112","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hypogene caves of the central Appalachian Shenandoah Valley in Virginia","docAbstract":"<p><span>Several caves in the Shenandoah Valley in Virginia show evidence for early hypogenic conduit development with later-enhanced solution under partly confined phreatic conditions guided by geologic structures. Many (but not all) of these caves have been subsequently invaded by surface waters as a result of erosion and exhumation. Those not so affected are relict phreatic caves, bearing no relation to modern drainage patterns. Field and petrographic evidence shows that carbonate rocks hosting certain relict phreatic caves were dolomitized and/or silicified by early hydrothermal fluid migration in zones that served to locally enhance rock porosity, thus providing preferential pathways for later solution by groundwater flow, and making the surrounding bedrock more resistant to surficial weathering to result in caves that reside within isolated hills on the land surface. Features suggesting that deep phreatic processes dominated the development of these relict caves include (1) cave passage morphologies indicative of ascending fluids, (2) cave plans of irregular pattern, reflecting early maze or anastomosing development, (3) a general lack of cave breakdown and cave streams or cave stream deposits, and (4) calcite wall and pool coatings within isolated caves intersecting the local water table, and within unroofed caves at topographic locations elevated well above the local base level. Episodes of deep karstification were likely separated by long periods of geologic time, encompassing multiple phases of sedimentary fill and excavation within caves, and reflect a complex history of deep fluid migration that set the stage for later shallow speleogenesis that continues today.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hypogene karst regions and caves of the world","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-53348-3_46","usgsCitation":"Doctor, D.H., and Orndorff, W., 2017, Hypogene caves of the central Appalachian Shenandoah Valley in Virginia, chap. <i>of</i> Hypogene karst regions and caves of the world, p. 691-707, https://doi.org/10.1007/978-3-319-53348-3_46.","productDescription":"17 p.","startPage":"691","endPage":"707","ipdsId":"IP-081438","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":346351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah Valley","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-18","publicationStatus":"PW","scienceBaseUri":"59d4a1a5e4b05fe04cc4e0eb","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":711262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, Wil","contributorId":127487,"corporation":false,"usgs":false,"family":"Orndorff","given":"Wil","affiliations":[{"id":6970,"text":"Virginia Department of Conservation and Recreation, Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":711263,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193653,"text":"70193653 - 2017 - Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance","interactions":[],"lastModifiedDate":"2017-11-13T14:41:28","indexId":"70193653","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance","docAbstract":"<p><span>It is common to use multiple field sampling methods when implementing wildlife surveys to compare method efficacy or cost efficiency, integrate distinct pieces of information provided by separate methods, or evaluate method-specific biases and misclassification error. Existing models that combine information from multiple field methods or sampling devices permit rigorous comparison of method-specific detection parameters, enable estimation of additional parameters such as false-positive detection probability, and improve occurrence or abundance estimates, but with the assumption that the separate sampling methods produce detections independently of one another. This assumption is tenuous if methods are paired or deployed in close proximity simultaneously, a common practice that reduces the additional effort required to implement multiple methods and reduces the risk that differences between method-specific detection parameters are confounded by other environmental factors. We develop occupancy and spatial capture–recapture models that permit covariance between the detections produced by different methods, use simulation to compare estimator performance of the new models to models assuming independence, and provide an empirical application based on American marten (</span><i>Martes americana</i><span>) surveys using paired remote cameras, hair catches, and snow tracking. Simulation results indicate existing models that assume that methods independently detect organisms produce biased parameter estimates and substantially understate estimate uncertainty when this assumption is violated, while our reformulated models are robust to either methodological independence or covariance. Empirical results suggested that remote cameras and snow tracking had comparable probability of detecting present martens, but that snow tracking also produced false-positive marten detections that could potentially substantially bias distribution estimates if not corrected for. Remote cameras detected marten individuals more readily than passive hair catches. Inability to photographically distinguish individual sex did not appear to induce negative bias in camera density estimates; instead, hair catches appeared to produce detection competition between individuals that may have been a source of negative bias. Our model reformulations broaden the range of circumstances in which analyses incorporating multiple sources of information can be robustly used, and our empirical results demonstrate that using multiple field-methods can enhance inferences regarding ecological parameters of interest and improve understanding of how reliably survey methods sample these parameters.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1587","usgsCitation":"Clare, J., McKinney, S.T., DePue, J.E., and Loftin, C., 2017, Pairing field methods to improve inference in wildlife surveys while accommodating detection covariance: Ecological Applications, v. 27, no. 7, p. 2031-2047, https://doi.org/10.1002/eap.1587.","productDescription":"17 p.","startPage":"2031","endPage":"2047","ipdsId":"IP-072877","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","volume":"27","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-05","publicationStatus":"PW","scienceBaseUri":"5a60fb3ae4b06e28e9c22e1d","contributors":{"authors":[{"text":"Clare, John","contributorId":200304,"corporation":false,"usgs":false,"family":"Clare","given":"John","affiliations":[],"preferred":false,"id":721849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Shawn T. smckinney@usgs.gov","contributorId":5175,"corporation":false,"usgs":true,"family":"McKinney","given":"Shawn","email":"smckinney@usgs.gov","middleInitial":"T.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DePue, John E.","contributorId":200305,"corporation":false,"usgs":false,"family":"DePue","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Cynthia S. 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":2167,"corporation":false,"usgs":true,"family":"Loftin","given":"Cynthia S.","email":"cyndy_loftin@usgs.gov","affiliations":[],"preferred":true,"id":719764,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192666,"text":"70192666 - 2017 - Evaluating and improving count-based population inference: A case study from 31 years of monitoring Sandhill Cranes","interactions":[],"lastModifiedDate":"2017-11-08T15:29:25","indexId":"70192666","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating and improving count-based population inference: A case study from 31 years of monitoring Sandhill Cranes","docAbstract":"<p><span>Monitoring animal populations can be difficult. Limited resources often force monitoring programs to rely on unadjusted or smoothed counts as an index of abundance. Smoothing counts is commonly done using a moving-average estimator to dampen sampling variation. These indices are commonly used to inform management decisions, although their reliability is often unknown. We outline a process to evaluate the biological plausibility of annual changes in population counts and indices from a typical monitoring scenario and compare results with a hierarchical Bayesian time series (HBTS) model. We evaluated spring and fall counts, fall indices, and model-based predictions for the Rocky Mountain population (RMP) of Sandhill Cranes (</span><i>Antigone canadensis</i><span>) by integrating juvenile recruitment, harvest, and survival into a stochastic stage-based population model. We used simulation to evaluate population indices from the HBTS model and the commonly used 3-yr moving average estimator. We found counts of the RMP to exhibit biologically unrealistic annual change, while the fall population index was largely biologically realistic. HBTS model predictions suggested that the RMP changed little over 31 yr of monitoring, but the pattern depended on assumptions about the observational process. The HBTS model fall population predictions were biologically plausible if observed crane harvest mortality was compensatory up to natural mortality, as empirical evidence suggests. Simulations indicated that the predicted mean of the HBTS model was generally a more reliable estimate of the true population than population indices derived using a moving 3-yr average estimator. Practitioners could gain considerable advantages from modeling population counts using a hierarchical Bayesian autoregressive approach. Advantages would include: (1) obtaining measures of uncertainty; (2) incorporating direct knowledge of the observational and population processes; (3) accommodating missing years of data; and (4) forecasting population size.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-137.1","usgsCitation":"Gerber, B.D., and Kendall, W., 2017, Evaluating and improving count-based population inference: A case study from 31 years of monitoring Sandhill Cranes: The Condor, v. 119, no. 2, p. 191-206, https://doi.org/10.1650/CONDOR-16-137.1.","productDescription":"16 p.","startPage":"191","endPage":"206","ipdsId":"IP-070023","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469556,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-137.1","text":"Publisher Index Page"},{"id":348494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b3e4b0dc0b45b45321","contributors":{"authors":[{"text":"Gerber, Brian D.","contributorId":187620,"corporation":false,"usgs":false,"family":"Gerber","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":721366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716678,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192569,"text":"70192569 - 2017 - Groundwater declines are linked to changes in Great Plains stream fish assemblages","interactions":[],"lastModifiedDate":"2017-10-26T13:09:59","indexId":"70192569","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater declines are linked to changes in Great Plains stream fish assemblages","docAbstract":"<p><span>Groundwater pumping for agriculture is a major driver causing declines of global freshwater ecosystems, yet the ecological consequences for stream fish assemblages are rarely quantified. We combined retrospective (1950–2010) and prospective (2011–2060) modeling approaches within a multiscale framework to predict change in Great Plains stream fish assemblages associated with groundwater pumping from the United States High Plains Aquifer. We modeled the relationship between the length of stream receiving water from the High Plains Aquifer and the occurrence of fishes characteristic of small and large streams in the western Great Plains at a regional scale and for six subwatersheds nested within the region. Water development at the regional scale was associated with construction of 154 barriers that fragment stream habitats, increased depth to groundwater and loss of 558 km of stream, and transformation of fish assemblage structure from dominance by large-stream to small-stream fishes. Scaling down to subwatersheds revealed consistent transformations in fish assemblage structure among western subwatersheds with increasing depths to groundwater. Although transformations occurred in the absence of barriers, barriers along mainstem rivers isolate depauperate western fish assemblages from relatively intact eastern fish assemblages. Projections to 2060 indicate loss of an additional 286 km of stream across the region, as well as continued replacement of large-stream fishes by small-stream fishes where groundwater pumping has increased depth to groundwater. Our work illustrates the shrinking of streams and homogenization of Great Plains stream fish assemblages related to groundwater pumping, and we predict similar transformations worldwide where local and regional aquifer depletions occur.</span></p>","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1618936114","usgsCitation":"Prekins, J.S., Gido, K.B., Falke, J.A., Fausch, K., Crockett, H., Johnson, E.R., and Sanderson, J., 2017, Groundwater declines are linked to changes in Great Plains stream fish assemblages: Proceedings of the National Academy of Sciences of the United States of America, v. 114, no. 28, p. 7373-7378, https://doi.org/10.1073/pnas.1618936114.","productDescription":"6 p.","startPage":"7373","endPage":"7378","ipdsId":"IP-081390","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469479,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1618936114","text":"External Repository"},{"id":347468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":" Colorado, Kansas, Nebraska","otherGeospatial":"Great Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.3701171875,\n              39.13006024213511\n            ],\n            [\n              -99.47021484375,\n              39.13006024213511\n            ],\n            [\n              -99.47021484375,\n              41.19518982948959\n            ],\n            [\n              -104.3701171875,\n              41.19518982948959\n            ],\n            [\n              -104.3701171875,\n              39.13006024213511\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"114","issue":"28","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb72","contributors":{"authors":[{"text":"Prekins, Joshuah S.","contributorId":198486,"corporation":false,"usgs":false,"family":"Prekins","given":"Joshuah","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gido, Keith B.","contributorId":198487,"corporation":false,"usgs":false,"family":"Gido","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":716236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":198488,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":716237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crockett, Harry","contributorId":198489,"corporation":false,"usgs":false,"family":"Crockett","given":"Harry","affiliations":[],"preferred":false,"id":716238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Eric R.","contributorId":198490,"corporation":false,"usgs":false,"family":"Johnson","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanderson, John","contributorId":172965,"corporation":false,"usgs":false,"family":"Sanderson","given":"John","affiliations":[],"preferred":false,"id":716240,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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