{"pageNumber":"640","pageRowStart":"15975","pageSize":"25","recordCount":165244,"records":[{"id":70236239,"text":"70236239 - 2020 - Directivity of M 3.1 earthquake near Anza, California and the effect on peak ground motion","interactions":[],"lastModifiedDate":"2022-08-31T14:19:50.242428","indexId":"70236239","displayToPublicDate":"2019-11-19T09:14:00","publicationYear":"2020","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":"Directivity of M 3.1 earthquake near Anza, California and the effect on peak ground motion","docAbstract":"<p><span>We show the effect of rupture directivity on peak ground‐motion values for a moderate magnitude event at Anza, California, and neighboring stations at the Imperial Valley. The event was located near Borrego Springs on the west side of the Salton Sea and was well recorded at broadband stations near Anza, California, and at stations on the west side of the Imperial Valley. After correcting for regional attenuation, an anomalously large residual in peak motion was observed at station ERR just to the southeast of the epicenter. Using the algorithm from&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf6\">Boatwright (2007)</a><span>, peak motions from the regional seismic networks in southern California were inverted to determine directivity, which was to the southeast along the trend of the San Jacinto fault toward station ERR. This algorithm uses peak values compiled for the ShakeMap system mostly at regional distances. It does not capture the main features of the source time function (STF) predicted by directivity. Consequently, we determined the second‐degree moments for this earthquake, which confirmed that station ERR has a shorter and higher STF compared to stations to the northwest suggesting rupture propagated to the southeast. The azimuthal distribution of local stations is sparse, but nevertheless the largest amplitudes (such as at station ERR) correlate well with the maximum in the radiation pattern and smaller values with the minima, which is the radiation pattern for&nbsp;</span><i>SH</i><span>&nbsp;plus the effect of directivity. Using the data from the analysis of the second‐degree moments, the characteristic length of the fault is 0.58&nbsp;km, assuming an idealized unilateral extended rupture with a rupture time of 0.09&nbsp;s. This yields an apparent rupture velocity of&nbsp;</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;>6.4</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>km</mi><mo xmlns=&quot;&quot;>/</mo><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>s</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mn\">6.4</span><span id=\"MathJax-Span-4\" class=\"mtext\">  </span><span id=\"MathJax-Span-5\" class=\"mi\">km</span><span id=\"MathJax-Span-6\" class=\"mo\">/</span><span id=\"MathJax-Span-7\" class=\"mi\">s </span></span></span></span></span></span><span>for an idealized model, which is super shear. This value is model dependent and would change if, for example, the rupture was bilateral. Although this value is even greater than the&nbsp;</span><i>P</i><span>‐wave velocity, it supports the idea that the rupture velocity is super shear and would enhance the correlation between the peak motions and the radiation pattern.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190141","usgsCitation":"Fletcher, J.P., and Boatwright, J., 2020, Directivity of M 3.1 earthquake near Anza, California and the effect on peak ground motion: Bulletin of the Seismological Society of America, v. 110, no. 1, p. 312-318, https://doi.org/10.1785/0120190141.","productDescription":"7 p.","startPage":"312","endPage":"318","ipdsId":"IP-107351","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":405996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Anza","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.9,\n              32.8\n            ],\n            [\n              -115.2,\n              32.8\n            ],\n            [\n              -115.2,\n              33.8\n            ],\n            [\n              -116.9,\n              33.8\n            ],\n            [\n              -116.9,\n              32.8\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Fletcher, Jon Peter B. 0000-0001-8885-6177 jfletcher@usgs.gov","orcid":"https://orcid.org/0000-0001-8885-6177","contributorId":1216,"corporation":false,"usgs":true,"family":"Fletcher","given":"Jon","email":"jfletcher@usgs.gov","middleInitial":"Peter B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boatwright, John 0000-0002-6931-5241 boat@usgs.gov","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":1938,"corporation":false,"usgs":true,"family":"Boatwright","given":"John","email":"boat@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":850302,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70207468,"text":"70207468 - 2020 - Holocene rupture history of the central Teton fault at Leigh Lake; Grand Teton National Park, Wyoming","interactions":[],"lastModifiedDate":"2020-12-18T21:19:20.569509","indexId":"70207468","displayToPublicDate":"2019-11-19T07:22:22","publicationYear":"2020","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":"Holocene rupture history of the central Teton fault at Leigh Lake; Grand Teton National Park, Wyoming","docAbstract":"<p>Prominent scarps on Pinedale glacial surfaces along the eastern base of the Teton Range confirm latest Pleistocene to Holocene surface‐faulting earthquakes on the Teton fault, but the timing of these events is only broadly constrained by a single previous paleoseismic study. We excavated two trenches at the Leigh Lake site near the center of the Teton fault to address open questions about earthquake timing and rupture length. Structural and stratigraphic evidence indicates two surface‐faulting earthquakes at the site that postdate deglacial sediments dated by radiocarbon and optically stimulated luminescence to ∼10–11 ka⁠. Earthquake LL2 occurred at ∼10.0 ka (9.7–10.4 ka; 95% confidence range) and LL1 at ∼5.9 ka (4.8–7.1 ka; 95%). LL2 predates an earthquake at ∼8ka identified in the previous paleoseismic investigation at Granite Canyon. LL1 corresponds to the most recent Granite Canyon earthquake at ∼4.7–7.9 ka (95% confidence range). Our results are consistent with the previously documented long‐elapsed time since the most recent Teton fault rupture and expand the fault’s earthquake history into the early Holocene.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120190129","usgsCitation":"Zellman, M., DuRoss, C., Thackray, G.R., Personius, S., Reitman, N.G., Mahan, S.A., and Brossy, C., 2020, Holocene rupture history of the central Teton fault at Leigh Lake; Grand Teton National Park, Wyoming: Bulletin of the Seismological Society of America, v. 110, no. 1, p. 67-82, https://doi.org/10.1785/0120190129.","productDescription":"16 p.","startPage":"67","endPage":"82","ipdsId":"IP-111443","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":370540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Grand Teton National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.928955078125,\n              43.671844983221604\n            ],\n            [\n              -110.38238525390625,\n              43.671844983221604\n            ],\n            [\n              -110.38238525390625,\n              44.12702800650004\n            ],\n            [\n              -110.928955078125,\n              44.12702800650004\n            ],\n            [\n              -110.928955078125,\n              43.671844983221604\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Zellman, Mark","contributorId":167020,"corporation":false,"usgs":false,"family":"Zellman","given":"Mark","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":778161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":778162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thackray, Glenn R.","contributorId":221430,"corporation":false,"usgs":false,"family":"Thackray","given":"Glenn","email":"","middleInitial":"R.","affiliations":[{"id":40375,"text":"Department of Geosciences,  Idaho State University","active":true,"usgs":false}],"preferred":false,"id":778163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Personius, Stephen 0000-0001-8347-7370 personius@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-7370","contributorId":150055,"corporation":false,"usgs":true,"family":"Personius","given":"Stephen","email":"personius@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":778164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":778165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":778166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brossy, Cooper","contributorId":221431,"corporation":false,"usgs":false,"family":"Brossy","given":"Cooper","affiliations":[],"preferred":false,"id":778167,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70217797,"text":"70217797 - 2020 - Estimating population size with imperfect detection using a parametric bootstrap","interactions":[],"lastModifiedDate":"2021-02-03T12:40:10.682479","indexId":"70217797","displayToPublicDate":"2019-11-19T06:38:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"Estimating population size with imperfect detection using a parametric bootstrap","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>We develop a novel method of estimating population size from imperfectly detected counts of individuals and a separate estimate of detection probability. Observed counts are separated into classes within which detection probability is assumed constant. Within a detection class, counts are modeled as a single binomial observation<span>&nbsp;</span><i>X</i><span>&nbsp;</span>with success probability<span>&nbsp;</span><i>p</i><span>&nbsp;</span>where the goal is to estimate index<span>&nbsp;</span><i>N</i>. We use a Horvitz–Thompson‐like estimator for<span>&nbsp;</span><i>N</i><span>&nbsp;</span>and account for uncertainty in both sample data and estimated success probability via a parametric bootstrap. Unlike capture–recapture methods, our model does not require repeated sampling of the population. Our method is able to achieve good results, even with small<span>&nbsp;</span><i>X</i>. We show in a factorial simulation study that the median of the bootstrapped sample has small bias relative to<span>&nbsp;</span><i>N</i><span>&nbsp;</span>and that coverage probabilities of confidence intervals for<span>&nbsp;</span><i>N</i><span>&nbsp;</span>are near nominal under a wide array of scenarios. Our methodology begins to break down when<span>&nbsp;</span><i>P</i>(<i>X</i>=0)&gt;0.1 but is still capable of obtaining reasonable confidence coverage. We illustrate the proposed technique by estimating (1) the size of a moose population in Alaska and (2) the number of bat fatalities at a wind power facility, both from samples with imperfect detection probabilities, estimated independently.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/env.2603","usgsCitation":"Madsen, L., Dalthorp, D., Huso, M., and Aderman, A., 2020, Estimating population size with imperfect detection using a parametric bootstrap: Environmetrics, v. 31, no. 3, e2603, 11 p., https://doi.org/10.1002/env.2603.","productDescription":"e2603, 11 p.","ipdsId":"IP-103965","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":382914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Madsen, Lisa","contributorId":210021,"corporation":false,"usgs":false,"family":"Madsen","given":"Lisa","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":809752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalthorp, Daniel 0000-0002-4815-6309 ddalthorp@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-6309","contributorId":4902,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Daniel","email":"ddalthorp@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":809753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huso, Manuela 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":223969,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":809754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aderman, Andy","contributorId":248722,"corporation":false,"usgs":false,"family":"Aderman","given":"Andy","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":809755,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211921,"text":"70211921 - 2020 - Gaps and hotspots in the state of knowledge of pinyon-juniper communities","interactions":[],"lastModifiedDate":"2020-08-11T20:24:40.554658","indexId":"70211921","displayToPublicDate":"2019-11-18T15:15:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Gaps and hotspots in the state of knowledge of pinyon-juniper communities","docAbstract":"<p><span>Pinyon-juniper (PJ) plant communities cover a large area across North America and provide critical habitat for wildlife, biodiversity and ecosystem functions, and rich cultural resources. These communities occur across a variety of environmental gradients, disturbance regimes, structural conditions and species compositions, including three species of juniper and two species of pinyon. PJ communities have experienced substantial changes in recent decades and identifying appropriate management strategies for these diverse communities is a growing challenge. Here, we surveyed the literature and compiled 441 studies to characterize patterns in research on PJ communities through time, across geographic space and climatic conditions, and among focal species. We evaluate the state of knowledge for three focal topics: 1) historical stand dynamics and responses to disturbance, 2) land management actions and their effects, and 3) potential future responses to changing climate. We identified large and potentially important gaps in our understanding of pinyon-juniper communities both geographically and topically. The effect of drought on&nbsp;</span><i>Pinus edulis,</i><span>&nbsp;the pinyon pine species in eastern PJ communities was frequently addressed, while few studies focused on drought effects on&nbsp;</span><i>Pinus monophylla</i><span>, which occurs in western PJ communities. The largest proportion of studies that examined land management actions only measured their effects for one year. Grazing was a common land-use across the geographic range of PJ communities yet was rarely studied. We found only 39 studies that had information on the impacts of anthropogenic climate change and most were concentrated on&nbsp;</span><i>Pinus edulis</i><span>. These results provide a synthetic perspective on PJ communities that can help natural resource managers identify relevant knowledge needed for decision-making and researchers design new studies to fill important knowledge gaps.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.117628","usgsCitation":"Hartsell, J.A., Copeland, S., Munson, S.M., Butterfield, B.J., and Bradford, J., 2020, Gaps and hotspots in the state of knowledge of pinyon-juniper communities: Forest Ecology and Management, v. 455, 117628, 23 p., https://doi.org/10.1016/j.foreco.2019.117628.","productDescription":"117628, 23 p.","ipdsId":"IP-108384","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":458505,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2019.117628","text":"Publisher Index Page"},{"id":437204,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LWZN72","text":"USGS data release","linkHelpText":"Pinyon and Juniper location data, including a literature review citation list of Pinyon-Juniper systems from 1909 to 2018"},{"id":377388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.47998046875,\n              32.491230287947594\n            ],\n            [\n              -103.90869140625,\n              36.79169061907076\n            ],\n            [\n              -104.5458984375,\n              40.329795743702064\n            ],\n            [\n              -110.8740234375,\n              40.697299008636755\n            ],\n            [\n              -111.86279296875,\n              41.60722821271717\n            ],\n            [\n              -116.05957031249999,\n              41.45919537950706\n            ],\n            [\n              -119.81689453125,\n              37.59682400108367\n            ],\n            [\n              -117.35595703124999,\n              34.939985151560435\n            ],\n            [\n              -112.4560546875,\n              32.43561304116276\n            ],\n            [\n              -109.2041015625,\n              31.466153715024294\n            ],\n            [\n              -108.2373046875,\n              31.372399104880525\n            ],\n            [\n              -108.17138671875,\n              31.784216884487385\n            ],\n            [\n              -104.19433593749999,\n              31.952162238024975\n            ],\n            [\n              -104.47998046875,\n              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smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795821,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":795822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795823,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250177,"text":"70250177 - 2020 - Heat accumulation on coral reefs mitigated by internal waves","interactions":[],"lastModifiedDate":"2023-11-27T17:49:36.946296","indexId":"70250177","displayToPublicDate":"2019-11-18T11:47:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Heat accumulation on coral reefs mitigated by internal waves","docAbstract":"<p><span>Coral reefs are among the most species-rich, productive and economically valuable ecosystems on Earth but increasingly frequent pantropical coral bleaching events are threatening their persistence on a global scale. The 2015–2016 El Niño led to the hottest sea surface temperatures on record and widespread bleaching of shallow-water corals. However, the causes of spatial variation in bleaching are poorly understood, and near-surface estimates of heat stress, such as those inferred from satellites, cannot be generalized across the broad depth ranges occupied by corals. Here, using in situ temperatures recorded across reefs from the near surface to 30–50 m depths in the western, central and eastern Pacific, we show that during the peak of the 2015–2016 anomaly, temperature fluctuations associated with internal waves reduced cumulative heat exposure by up to 88%. The durations of severe thermal anomalies above 8 °C-days, at which point widespread coral bleaching and mortality are likely, were also decreased by &gt;36% at some sites and were prevented entirely at others. The impact of internal waves across depths on coral reefs has the potential to create and support thermal refuges in which heat stress and coral bleaching risk may be modulated, but future effects depend on the response of internal wave climates to continued warming and strengthening ocean stratification.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41561-019-0486-4","usgsCitation":"Wyatt, A.S., Leichter, J., Toth, L., Miyajima, T., Aronson, R.B., and Nagata, T., 2020, Heat accumulation on coral reefs mitigated by internal waves: Nature Geoscience, v. 13, p. 28-34, https://doi.org/10.1038/s41561-019-0486-4.","productDescription":"7 p.","startPage":"28","endPage":"34","ipdsId":"IP-106803","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":422976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2019-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wyatt, Alex S. J. 0000-0002-1339-9546","orcid":"https://orcid.org/0000-0002-1339-9546","contributorId":331743,"corporation":false,"usgs":false,"family":"Wyatt","given":"Alex","email":"","middleInitial":"S. J.","affiliations":[{"id":79277,"text":"University of Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":888673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leichter, James J.","contributorId":261128,"corporation":false,"usgs":false,"family":"Leichter","given":"James J.","affiliations":[{"id":52738,"text":"SCRIPPS INSTITUTION OF OCEANOGRAPHY, UNIVERSITY OF CALIFORNIA AT SAN DIEGO","active":true,"usgs":false}],"preferred":false,"id":888674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miyajima, Toshihiro 0000-0001-8562-6704","orcid":"https://orcid.org/0000-0001-8562-6704","contributorId":331744,"corporation":false,"usgs":false,"family":"Miyajima","given":"Toshihiro","email":"","affiliations":[{"id":79277,"text":"University of Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":888676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aronson, Richard B. 0000-0003-0383-3844","orcid":"https://orcid.org/0000-0003-0383-3844","contributorId":212695,"corporation":false,"usgs":false,"family":"Aronson","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":888677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagata, Toshi","contributorId":331745,"corporation":false,"usgs":false,"family":"Nagata","given":"Toshi","email":"","affiliations":[{"id":79277,"text":"University of Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":888678,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227189,"text":"70227189 - 2020 - Life history structure of westslope cutthroat trout: Inferences from otolith microchemistry","interactions":[],"lastModifiedDate":"2022-01-04T15:28:45.816391","indexId":"70227189","displayToPublicDate":"2019-11-18T09:23:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Life history structure of westslope cutthroat trout: Inferences from otolith microchemistry","docAbstract":"<p><span>Life history diversity is important for population stability and is dependent on connectivity to habitat that supports all life stages and life history strategies for a species. Westslope Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii lewisi</i><span>&nbsp;(WCT) exhibit plasticity in life history strategies in response to environmental variability, but fisheries managers have been challenged with evaluating the life history structure of WCT populations. The goals of this research were to use strontium isotopes (i.e.,&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr) derived from ambient water and sagittal otoliths to assess spatial variability and describe the life history structure of WCT. Water samples (</span><i>n</i><span> = 49) and WCT (</span><i>n</i><span> = 571) sagittal otoliths were collected throughout the Coeur d’Alene Lake basin in Idaho and analyzed for Sr isotopes. Model-based discriminant function analysis was used to assign WCT to natal tributaries and to infer maternal origins. Life history structure was inferred from maternal signatures and indicated that fluvial (68% of all fish), resident (27%), and adfluvial (5%) life history strategies were present. Connectivity in lotic systems and from lotic to lentic environments supports WCT life history diversity and contributes to a broad distribution of the species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2019.105416","usgsCitation":"Heckel, J.W., Quist, M.C., Watkins, C.J., and Dux, A.M., 2020, Life history structure of westslope cutthroat trout: Inferences from otolith microchemistry: Fisheries Research, v. 222, 105416, 14 p., https://doi.org/10.1016/j.fishres.2019.105416.","productDescription":"105416, 14 p.","ipdsId":"IP-107684","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":393855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Coeur d'Alene Lake, Coeur d'Alene River, St, Joe River, St, Maries River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117,\n              46.75\n            ],\n            [\n              -115,\n              46.75\n            ],\n            [\n              -115,\n              48\n            ],\n            [\n              -117,\n              48\n            ],\n            [\n              -117,\n              46.75\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"222","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Heckel, John W","contributorId":270716,"corporation":false,"usgs":false,"family":"Heckel","given":"John","email":"","middleInitial":"W","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":830023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":830022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":830024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dux, Andrew M.","contributorId":175256,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":830025,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219557,"text":"70219557 - 2020 - Post-fire aspen (Populus tremuloides) regeneration varies in response to winter precipitation across a regional climate gradient","interactions":[],"lastModifiedDate":"2021-04-13T12:48:22.205733","indexId":"70219557","displayToPublicDate":"2019-11-18T07:45:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Post-fire aspen (Populus tremuloides) regeneration varies in response to winter precipitation across a regional climate gradient","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Altered climate and changing fire regimes are synergistically impacting forest communities globally, resulting in deviations from historical norms and creation of novel successional dynamics. These changes are particularly important when considering the stability of a keystone species such as quaking aspen (<i>Populus tremuloides</i><span>&nbsp;</span>Michx.), which contributes critical ecosystem services across its broad North American range. As a relatively drought intolerant species, projected changes of altered precipitation timing, amount, and type (e.g. snow or rain) may influence aspen response to fire, especially in moisture-limited and winter precipitation-dominated portions of its range. Aspen is generally considered an early-seral species that benefits from fire, but increases in fire activity across much of the western United States could affect the species in unpredictable ways. This study examined post-fire aspen stands across a regional climate gradient spanning from the north-central Great Basin to the northeastern portion of the Greater Yellowstone Ecosystem (USA). We investigated the influence of seasonal precipitation and temperature variables, snowpack, and site conditions (e.g. browsing levels, topography) on density of post-fire aspen regeneration (i.e. all small trees ha<sup>−1</sup>) and recruitment (i.e. small trees ≥2 m tall ha<sup>−1</sup>) across 15 fires that occurred between 2000 and 2009. The range of post-fire regeneration (2500–71,600 small trees ha<sup>−1</sup>) and recruitment (0–32,500 small trees ≥2 m ha<sup>−1</sup>) densities varied widely across plots. Linear mixed effects models demonstrated that both response variables increased primarily with early winter (Oct-Dec) precipitation during the ‘fire-regen period’ (i.e., fire year and five years after fire) relative to the 30-year mean. The 30-year mean of early winter precipitation and fire-regen period snowpack were also positively related to recruitment densities. Both response variables decreased with higher shrub cover, highlighting the importance of considering shrub competition in post-fire environments. Regeneration and recruitment densities were negatively related to proportion browsed aspen leaders and animal pellet densities (no./m<sup>2</sup>), respectively, indicating the influence of ungulate browsing even at the relatively low levels observed across sites. A post-hoc exploratory analysis suggests that deviation in early winter precipitation during the fire-regen period (relative to 30-year means) varied among sites along directional gradients, emphasizing the need to consider multiple spatiotemporal scales when investigating climate effects on post-fire successional dynamics. We discuss our findings in terms of dynamic management and conservation strategies in light of changing fire regimes and climate conditions.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.117681","usgsCitation":"McIlroy, S., and Shinneman, D.J., 2020, Post-fire aspen (Populus tremuloides) regeneration varies in response to winter precipitation across a regional climate gradient: Forest Ecology and Management, v. 455, 117681, 9 p., https://doi.org/10.1016/j.foreco.2019.117681.","productDescription":"117681, 9 p.","ipdsId":"IP-110538","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":437205,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99E9438","text":"USGS data release","linkHelpText":"Post-fire aspen (Populus tremuloides) regeneration data (2014-2015)"},{"id":385051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.4892578125,\n              45.42929873257377\n            ],\n            [\n              -109.423828125,\n              45.42929873257377\n            ],\n            [\n              -109.423828125,\n              46.13417004624326\n            ],\n            [\n              -111.4892578125,\n              46.13417004624326\n            ],\n            [\n              -111.4892578125,\n              45.42929873257377\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      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Center","active":true,"usgs":true}],"preferred":true,"id":814133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":814134,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227116,"text":"70227116 - 2020 - Compound effects of water clarity, inflow, wind and climate warming on mountain lake thermal regimes","interactions":[],"lastModifiedDate":"2022-01-03T16:08:43.642259","indexId":"70227116","displayToPublicDate":"2019-11-16T10:30:30","publicationYear":"2020","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":"Compound effects of water clarity, inflow, wind and climate warming on mountain lake thermal regimes","docAbstract":"<p><span>Many studies have examined the effects of climate warming on lake stability, but few have addressed environmental changes concomitant with climate change, such as alterations in water clarity and lake inflow. Although air temperature rise is a predominant factor linked to lake thermal characteristics, climate-driven changes at watershed scales can substantially alter lake clarity and inflow, exacerbating the effects of future air warming on lake thermal conditions. Without accounting for potential changes in clarity and inflow, future thermal predictions could be inaccurate. We employed the General Lake Model to simulate future thermal conditions (relative thermal resistance to mixing; RTRM) of small (&lt; 12&nbsp;ha) mountain lakes of the western United States by calibrating the model to a set of lakes in the Southern Rocky Mountains, USA. We found that after air temperature, alterations in inflow had the largest effect on lake thermal conditions, changes in wind had the least effect, and larger lakes experienced more than double the increase in lake stability than smaller lakes. Generally, clear, high inflow lakes had the lowest stability now, and in the future, while the largest overall increase in thermal stability occurred in larger lakes with low inflows and high turbidity. Assuming air temperature rise alone, summer stability of mountain lakes of the western United States was predicted to increase by 15–23% at + 2&nbsp;°C air temperatures, and by 39–62% at + 5&nbsp;°C air temperatures. When accounting for associated changes in clarity and inflow, lake stability was predicted to increase by 208% with + 2&nbsp;°C air warming and 318% with at 5&nbsp;°C air warming. Thus, ignoring the multivariate effects of climate change can substantially underestimate changes to mountain lake thermal and stratification regimes. Dimictic lakes may become more strongly stratified and polymictic lakes will experience more prolonged stratification. While predicted changes to lake temperatures may not be harmful to trout species that currently inhabit mountain lakes, longer and more intense stratification could cause indirect effects, such as hypoxia, that could reduce growth and survival of these organisms.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00027-019-0676-6","usgsCitation":"Christianson, K.R., Johnson, B.M., and Hooten, M., 2020, Compound effects of water clarity, inflow, wind and climate warming on mountain lake thermal regimes: Aquatic Sciences, v. 82, 6, 17 p., https://doi.org/10.1007/s00027-019-0676-6.","productDescription":"6, 17 p.","ipdsId":"IP-107101","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":393652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rawah Wilderness Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.89035034179688,\n              40.534676780615406\n            ],\n            [\n              -105.85052490234375,\n              40.58058466412761\n            ],\n            [\n              -105.83816528320312,\n              40.693134153308065\n            ],\n            [\n              -105.88897705078125,\n              40.80029619806279\n            ],\n            [\n              -105.96313476562499,\n              40.88029480552824\n            ],\n            [\n              -106.09771728515625,\n              40.86991083161536\n            ],\n            [\n              -106.11968994140624,\n              40.84498264925404\n            ],\n            [\n              -106.0125732421875,\n              40.727486422997785\n            ],\n            [\n              -105.96450805664062,\n              40.61916465186328\n            ],\n            [\n              -105.89035034179688,\n              40.534676780615406\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2019-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Christianson, Kyle R.","contributorId":270655,"corporation":false,"usgs":false,"family":"Christianson","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":829700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Brett M.","contributorId":270656,"corporation":false,"usgs":false,"family":"Johnson","given":"Brett","email":"","middleInitial":"M.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":829701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":829699,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209555,"text":"70209555 - 2020 - Latitudinal variation in snowshoe hare (Lepus americanus) body mass: A test of Bergmann’s Rule","interactions":[],"lastModifiedDate":"2020-05-04T17:56:08.29525","indexId":"70209555","displayToPublicDate":"2019-11-16T07:42:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Latitudinal variation in snowshoe hare (Lepus americanus) body mass: A test of Bergmann’s Rule","docAbstract":"The relationship between body size and latitude have been the focus of dozens of studies across many species. However, results of testing Bergmann’s Rule – that organisms in colder climates or at higher latitudes possess larger body sizes – have been inconsistent across studies. We investigated whether snowshoe hares (Lepus americanus) follow the Rule by investigating differences in body mass using data from six published studies and from data of 755 individual hares captured from ten populations across North America covering 26° of latitude. We also explored alternative hypotheses related to variation in hare body mass, including winter severity, length of growing season, elevation, and snow depth. We found body mass of hares varied throughout their range, but the drivers of body mass differed based on geographic location. Females in northern populations followed Bergmann’s rule, whereas males did not. In northern populations male mass was related to average snow depth. In contrast, in southern populations body mass of both sexes was related to length of the growing season. These differences likely represent variation in the drivers of selection. Specifically, in the north, a large body size is beneficial to conserve heat because of low winter temperatures, whereas in the south, it is likely due to increased food supply associated with longer growing seasons.","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2019-0184","collaboration":"","usgsCitation":"Gigliotti, L., Berg, N.D., Boonstra, R., Cleveland, S.M., Diefenbach, D.R., Gese, E.M., Ivan, J.S., Kielland, K., Krebs, C.J., Kumar, A.V., Mills, L.S., Pauli, J.N., Underwood, H.B., Wilson, E., and Sheriff, M., 2020, Latitudinal variation in snowshoe hare (Lepus americanus) body mass: A test of Bergmann’s Rule: Canadian Journal of Zoology, v. 98, no. 2, p. 88-95, https://doi.org/10.1139/cjz-2019-0184.","productDescription":"8 p.","startPage":"88","endPage":"95","ipdsId":"IP-094410","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":501012,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1807/144258","text":"External Repository"},{"id":373946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gigliotti, Laura C. ","contributorId":224030,"corporation":false,"usgs":false,"family":"Gigliotti","given":"Laura C. ","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":786831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berg, Nathan D.","contributorId":224031,"corporation":false,"usgs":false,"family":"Berg","given":"Nathan","email":"","middleInitial":"D.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":786833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boonstra, Rudy","contributorId":224032,"corporation":false,"usgs":false,"family":"Boonstra","given":"Rudy","email":"","affiliations":[{"id":7044,"text":"University of Toronto","active":true,"usgs":false}],"preferred":false,"id":786834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Shawn M.","contributorId":224033,"corporation":false,"usgs":false,"family":"Cleveland","given":"Shawn","email":"","middleInitial":"M.","affiliations":[{"id":40820,"text":"State College of New York","active":true,"usgs":false}],"preferred":false,"id":786835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":786832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gese, Eric M.","contributorId":224034,"corporation":false,"usgs":false,"family":"Gese","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":40821,"text":"U. S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":786836,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ivan, Jacob S.","contributorId":224035,"corporation":false,"usgs":false,"family":"Ivan","given":"Jacob","email":"","middleInitial":"S.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":786837,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kielland, Knut","contributorId":224036,"corporation":false,"usgs":false,"family":"Kielland","given":"Knut","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":786838,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krebs, Charles J.","contributorId":224037,"corporation":false,"usgs":false,"family":"Krebs","given":"Charles","email":"","middleInitial":"J.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":786839,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kumar, Alexander V. 0000-0003-3831-5924","orcid":"https://orcid.org/0000-0003-3831-5924","contributorId":224038,"corporation":false,"usgs":false,"family":"Kumar","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":786840,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mills, L. Scott","contributorId":89431,"corporation":false,"usgs":true,"family":"Mills","given":"L.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":786948,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pauli, Jonathan N.","contributorId":190897,"corporation":false,"usgs":false,"family":"Pauli","given":"Jonathan","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":786949,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Underwood, H. Brian 0000-0002-2064-9128 hbunderw@usgs.gov","orcid":"https://orcid.org/0000-0002-2064-9128","contributorId":140185,"corporation":false,"usgs":true,"family":"Underwood","given":"H.","email":"hbunderw@usgs.gov","middleInitial":"Brian","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":786841,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wilson, Evan","contributorId":181779,"corporation":false,"usgs":false,"family":"Wilson","given":"Evan","email":"","affiliations":[],"preferred":false,"id":786950,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sheriff, M.J.","contributorId":92880,"corporation":false,"usgs":true,"family":"Sheriff","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":786951,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70211032,"text":"70211032 - 2020 - Upper thermal tolerance and heat shock protein response of juvenile American shad (Alosa sapidissima)","interactions":[],"lastModifiedDate":"2020-07-10T20:43:11.980551","indexId":"70211032","displayToPublicDate":"2019-11-15T15:40:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Upper thermal tolerance and heat shock protein response of juvenile American shad (<i>Alosa sapidissima</i>)","title":"Upper thermal tolerance and heat shock protein response of juvenile American shad (Alosa sapidissima)","docAbstract":"<p><span>Juvenile American shad (</span><i>Alosa sapidissima</i><span>) experience a wide range of temperatures in rivers before migrating to the ocean. Temperatures in these freshwater environments can vary greatly spatially, seasonally, year-to-year, and can be impacted by anthropogenic factors such as power plant discharge or climate change. Currently, there is uncertainty concerning juvenile American shad thermal tolerance due to a lack of a well-controlled study. Here, we report results of laboratory experiments to establish the upper thermal tolerance and heat shock protein response of juvenile American shad exposed to gradually increasing temperatures. Upper thermal tolerance was determined to be 35 °C (median; range = 34–36 °C) when fish were acclimated to 25 °C and temperatures were raised 1 °C day</span><sup>−1</sup><span>. Heat shock protein response was indicated by changes in branchial mRNA abundance of the inducible heat shock protein 90 alpha (</span><i>hsp90α</i><span>), which was significantly elevated (more than 5-fold increase) at 30 °C, and highest in fish that had reached their upper thermal maximum between 34 and 36 °C. Our findings indicate a higher upper thermal tolerance than previously reported for juvenile American shad, and an onset temperature of&nbsp;</span><i>hsp90α</i><span>&nbsp;induction at 30 °C, a temperature juvenile American shad commonly experience during summer months.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00642-x","usgsCitation":"Bayse, S.M., Shaughnessy, C.A., Regish, A.M., and McCormick, S.D., 2020, Upper thermal tolerance and heat shock protein response of juvenile American shad (Alosa sapidissima): Estuaries and Coasts, v. 43, p. 182-188, https://doi.org/10.1007/s12237-019-00642-x.","productDescription":"7 p.","startPage":"182","endPage":"188","ipdsId":"IP-098098","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":376266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","noUsgsAuthors":false,"publicationDate":"2019-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Bayse, Shannon Michael 0000-0002-0343-4053","orcid":"https://orcid.org/0000-0002-0343-4053","contributorId":228910,"corporation":false,"usgs":true,"family":"Bayse","given":"Shannon","email":"","middleInitial":"Michael","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":792493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaughnessy, Ciaran A 0000-0003-2146-9126","orcid":"https://orcid.org/0000-0003-2146-9126","contributorId":228911,"corporation":false,"usgs":false,"family":"Shaughnessy","given":"Ciaran","email":"","middleInitial":"A","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":792494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Regish, Amy M. 0000-0003-4747-4265 aregish@usgs.gov","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":5415,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"aregish@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":792495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":792496,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209054,"text":"70209054 - 2020 - A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals","interactions":[],"lastModifiedDate":"2020-09-10T19:45:16.648168","indexId":"70209054","displayToPublicDate":"2019-11-15T12:55:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals","docAbstract":"Understanding drivers of temporal variation in demographic parameters is a central goal of mark‐recapture analysis. To estimate the survival of migrating animal populations in migration corridors, space‐for‐time mark–recapture models employ discrete sampling locations in space to monitor marked populations as they move past monitoring sites, rather than the standard practice of using fixed sampling points in time. Because these models focus on estimating survival over discrete spatial segments, model parameters are implicitly integrated over the temporal dimension. Furthermore, modeling the effect of time‐varying covariates on model parameters is complicated by unknown passage times for individuals that are not detected at monitoring sites. To overcome these limitations, we extended the Cormack–Jolly–Seber (CJS) framework to estimate temporally stratified survival and capture probabilities by including a discretized arrival time process in a Bayesian framework. We allow for flexibility in the model form by including temporally stratified covariates and hierarchical structures. In addition, we provide tools for assessing model fit and comparing among alternative structural models for the parameters. We demonstrate our framework by fitting three competing models to estimate daily survival, capture, and arrival probabilities at four hydroelectric dams for over 200 000 individually tagged migratory juvenile salmon released into the Snake River, USA.","language":"English","publisher":"Wiley","doi":"10.1111/biom.13171","usgsCitation":"Hance, D.J., Perry, R., Plumb, J., and Pope, A., 2020, A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals: Biometrics, v. 76, no. 3, p. 900-912, https://doi.org/10.1111/biom.13171.","productDescription":"13 p.","startPage":"900","endPage":"912","ipdsId":"IP-106158","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":373199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hance, Dalton J. 0000-0002-4475-706X dhance@usgs.gov","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":206496,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","email":"dhance@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":223235,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plumb, John 0000-0003-4255-1612","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":223236,"corporation":false,"usgs":true,"family":"Plumb","given":"John","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784646,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228140,"text":"70228140 - 2020 - Marking otoliths of Alligator Gar by immersion in oxytetracycline","interactions":[],"lastModifiedDate":"2022-02-04T16:50:16.906223","indexId":"70228140","displayToPublicDate":"2019-11-13T10:44:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Marking otoliths of Alligator Gar by immersion in oxytetracycline","docAbstract":"<p><span>Alligator Gar&nbsp;</span><i>Atractosteus spatula</i><span>&nbsp;are increasingly being stocked to restore populations, making the need to identify stocked individuals important for monitoring. Oxytetracycline (OTC) immersion allows for large numbers of fish to be marked simultaneously, thus eliminating the need to handle fish individually, but protocols for doing so have not been investigated fully for this species. In this study, we sought to identify dosages of OTC (concentration and duration of exposure) that would successfully mark juvenile Alligator Gar while minimizing mortality as a result of the marking procedures. Juvenile Alligator Gar (38&nbsp;±&nbsp;4.4 mm [mean ± SE]) were collected from raceways at Tishomingo National Fish Hatchery 18–22&nbsp;d after hatch and were marked during transport to the Oklahoma Fishery Research Laboratory. Ten individuals per treatment (360 total individuals) were randomly placed into one of three replicates containing one of four concentration&nbsp;×&nbsp;duration combinations of Pennox 343 OTC solution. Juvenile Alligator Gar were exposed to an OTC concentration of 0 (control), 500, 600, or 700&nbsp;mg/L for a duration of 4, 5, or 6&nbsp;h. Asteriscus, lapillus, and sagittal otoliths were examined for mark presence at 14&nbsp;d postexposure by using fluorescent microscopy. The OTC concentration and duration both affected mean mark quality similarly among otolith types. Mortality increased with increasing OTC concentration, suggesting that a balance between concentration and duration is needed to achieve marking goals. Based on our findings, batch marking of Alligator Gar was successful at OTC concentrations from 500 to 700&nbsp;mg/L for 4–6&nbsp;h, although immersion at 500&nbsp;mg/L for 6&nbsp;h and 600&nbsp;mg/L for 4–6&nbsp;h produced the best balance between high mark quality and low associated mortality.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10365","usgsCitation":"Snow, R.A., Long, J.M., and Porta, M.J., 2020, Marking otoliths of Alligator Gar by immersion in oxytetracycline: North American Journal of Fisheries Management, v. 40, no. 3, p. 669-674, https://doi.org/10.1002/nafm.10365.","productDescription":"6 p.","startPage":"669","endPage":"674","ipdsId":"IP-107851","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Snow, Richard A.","contributorId":176213,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":833198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Porta, Michael J.","contributorId":270652,"corporation":false,"usgs":false,"family":"Porta","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":833200,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206718,"text":"70206718 - 2020 - Development of two quantitative PCR assays for detection of several Cottus species from environmental DNA in Pacific coast watersheds of North America","interactions":[],"lastModifiedDate":"2020-08-05T13:55:23.6477","indexId":"70206718","displayToPublicDate":"2019-11-13T07:50:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Development of two quantitative PCR assays for detection of several <i>Cottus</i> species from environmental DNA in Pacific coast watersheds of North America","title":"Development of two quantitative PCR assays for detection of several Cottus species from environmental DNA in Pacific coast watersheds of North America","docAbstract":"<p><span>We developed two quantitative PCR assays for use with environmental DNA (eDNA) to detect numerous species in the genus&nbsp;</span><i>Cottus</i><span>&nbsp;that are indigenous to the Pacific coast watersheds of North America. We conducted in vitro assay validations on ten&nbsp;</span><i>Cottus</i><span>&nbsp;species and 32 potentially co-occurring non-</span><i>Cottus</i><span>&nbsp;species. We demonstrate the efficacy of these assays by field testing eDNA samples collected from streams inhabited by&nbsp;</span><i>Cottus</i><span>. These assays will be particularly useful for detecting&nbsp;</span><i>Cottus</i><span>&nbsp;in habitats where one (or more) of several&nbsp;</span><i>Cottus</i><span>&nbsp;species could be present.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12686-019-01118-7","usgsCitation":"Hoy, M.S., and Ostberg, C.O., 2020, Development of two quantitative PCR assays for detection of several Cottus species from environmental DNA in Pacific coast watersheds of North America: Conservation Genetics Resources, v. 12, p. 361-363, https://doi.org/10.1007/s12686-019-01118-7.","productDescription":"3 p.","startPage":"361","endPage":"363","ipdsId":"IP-112157","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":369317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.892578125,\n              42.032974332441405\n            ],\n            [\n              -117.333984375,\n              41.244772343082076\n            ],\n            [\n              -114.9609375,\n              48.922499263758255\n            ],\n            [\n              -124.71679687499999,\n              50.12057809796008\n            ],\n            [\n              -124.892578125,\n              42.032974332441405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Hoy, Marshal S. 0000-0003-2828-9697","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":220730,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":775540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostberg, Carl O. 0000-0003-1479-8458","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":220731,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":775541,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206728,"text":"70206728 - 2020 - Malignant melanoma of Brown Bullhead (Ameiurus nebulosus) in Lake Memphremagog, Vermont/Quebec","interactions":[],"lastModifiedDate":"2020-01-03T10:34:39","indexId":"70206728","displayToPublicDate":"2019-11-13T07:48:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Malignant melanoma of Brown Bullhead (<i>Ameiurus nebulosus</i>) in Lake Memphremagog, Vermont/Quebec","title":"Malignant melanoma of Brown Bullhead (Ameiurus nebulosus) in Lake Memphremagog, Vermont/Quebec","docAbstract":"<p><span>In 2012, brown bullhead (</span><i>Ameiurus nebulosus</i><span>) with large, raised, black growths were first reported from multiple areas within the Vermont portion of Lake Memphremagog. Subsequent surveys conducted from 2014 to 2017 at two sites within the lake indicated a prevalence of 30% in adult brown bullhead 200&nbsp;mm and above total length. These lesions ranged from slightly raised smooth black areas to large nodular areas on the body surface and fins and within the oral cavity. Microscopically, these lesions were determined to be malignant melanoma with invasion into surrounding hypodermis, skeletal muscle and bone as well as metastases to gill, ovary and intestine. Liver neoplasms were also observed in 8% of the bullhead collected from Lake Memphremagog in 2015. Neither skin nor liver neoplasms were noted in Ticklenaked Pond, a site used for comparison.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfd.13112","usgsCitation":"Blazer, V., Shaw, C.H., Smith, C.R., Emerson, P., and Jones, T.R., 2020, Malignant melanoma of Brown Bullhead (Ameiurus nebulosus) in Lake Memphremagog, Vermont/Quebec: Journal of Fish Diseases, v. 43, no. 1, p. 91-100, https://doi.org/10.1111/jfd.13112.","productDescription":"10 p.","startPage":"91","endPage":"100","ipdsId":"IP-111105","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":369316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Quebec, Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.19091796875,\n              42.74701217318067\n            ],\n            [\n              -72.4658203125,\n              42.73087427928485\n            ],\n            [\n              -71.54296874999999,\n              45.058001435398275\n            ],\n            [\n              -70.24658203125,\n              45.90529985724799\n            ],\n            [\n              -69.76318359375,\n              47.08508535995386\n            ],\n            [\n              -71.69677734375,\n              47.54687159892238\n            ],\n            [\n              -73.7841796875,\n              47.517200697839414\n            ],\n            [\n              -74.68505859374999,\n              47.07012182383309\n            ],\n            [\n              -75.0146484375,\n              45.36758436884978\n            ],\n            [\n              -74.7509765625,\n              45.120052841530544\n            ],\n            [\n              -73.4326171875,\n              45.02695045318546\n            ],\n            [\n              -73.19091796875,\n              42.74701217318067\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":775566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaw, Cassidy H. 0000-0003-2639-1241","orcid":"https://orcid.org/0000-0003-2639-1241","contributorId":203239,"corporation":false,"usgs":false,"family":"Shaw","given":"Cassidy","email":"","middleInitial":"H.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":775567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Cheyenne R. 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":219236,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne","email":"","middleInitial":"R.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":true,"id":775568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emerson, P","contributorId":220736,"corporation":false,"usgs":false,"family":"Emerson","given":"P","email":"","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":775569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Thomas R.","contributorId":167620,"corporation":false,"usgs":false,"family":"Jones","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":24784,"text":"Arizona Game and Fish Department, 5000 West Carefree Highway, Phoenix, Arizona 85086, United States","active":true,"usgs":false}],"preferred":false,"id":775570,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70207606,"text":"70207606 - 2020 - Microplastic concentrations in two Oregon bivalve species: Spatial, temporal, and species variability","interactions":[],"lastModifiedDate":"2020-02-06T11:31:05","indexId":"70207606","displayToPublicDate":"2019-11-12T16:31:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Microplastic concentrations in two Oregon bivalve species: Spatial, temporal, and species variability","docAbstract":"<p><span>Microplastics are an ecological stressor with implications for ecosystem and human health when present in seafood. We quantified microplastic types, concentrations, anatomical burdens, geographic distribution, and temporal differences in Pacific oysters (</span><i>Crassostrea gigas</i><span>) and Pacific razor clams (</span><i>Siliqua patula</i><span>) from 15 Oregon coast, U.S.A. sites. Microplastics were present in organisms from all sites. On average, whole oysters and razor clams contained 10.95 ± 0.77 and 8.84 ± 0.45 microplastic pieces per individual, or 0.35 ± 0.04 pieces g</span><sup>−1</sup><span>&nbsp;tissue and 0.16 ± 0.02 pieces g</span><sup>−1</sup><span>&nbsp;tissue, respectively. Contamination was quantified but not subtracted. Over 99% of microplastics were fibers. Material type was determined using Fourier‐transform infrared spectroscopy. Spring samples contained more microplastics than summer samples in oysters but not razor clams. Our study is the first to document microplastics in Pacific razor clams and provides important coast‐wide data to compare microplastic burden across species, seasons, and sites.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/lol2.10124","usgsCitation":"Baechler, B., Granek, E.F., Hunter, M.G., and Conn, K., 2020, Microplastic concentrations in two Oregon bivalve species: Spatial, temporal, and species variability: Limnology and Oceanography Letters, v. 5, no. 1, p. 54-65, https://doi.org/10.1002/lol2.10124.","productDescription":"12 p.","startPage":"54","endPage":"65","ipdsId":"IP-110433","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":458522,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10124","text":"Publisher Index 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 \"}}]}","volume":"5","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Baechler, Britta","contributorId":221557,"corporation":false,"usgs":false,"family":"Baechler","given":"Britta","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":778656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granek, Elise F.","contributorId":176630,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":778657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Matthew G.","contributorId":146866,"corporation":false,"usgs":false,"family":"Hunter","given":"Matthew","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":778658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":778655,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206748,"text":"70206748 - 2020 - Coastal marsh bird habitat selection and responses to Hurricane Sandy","interactions":[],"lastModifiedDate":"2020-09-24T14:32:03.568047","indexId":"70206748","displayToPublicDate":"2019-11-12T16:14:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Coastal marsh bird habitat selection and responses to Hurricane Sandy","docAbstract":"<p id=\"Par1\" class=\"Para\"><span>Wetlands provide numerous ecosystem functions such as water purification, nutrient cycling, and wildlife habitat. Avian populations are indicators of wetland health, and understanding their responses to extreme events can aid in targeting restoration efforts following disturbance. Here, we assessed the habitat selection of six coastal wetland bird species (American Bittern, Black-crowned Night Heron, Great Egret, Glossy Ibis, Snowy Egret, Yellow-crowned Night Heron) related to an extreme weather event, Hurricane Sandy. We used Discrete Choice Resource Selection Functions to estimate habitat selection. Results showed species probability of use increased with lower elevation and slope, and closer proximity to marsh, salt marsh,&nbsp;</span><i>Phragmites</i><span>, and protected areas. Estimates of marsh dieback from Hurricane Sandy occurred disproportionately in areas with higher probability of species use. Species were observed farther from the coast and at higher elevations in the four breeding seasons after (2013–2016) compared to before (2000–2012) Hurricane Sandy. Our results indicate that although high suitability areas were affected by the storm, these six wetland bird species may have responded by moving inland and to higher elevation. Understanding how coastal wetland birds respond to storm events is important for conservation planning, particularly as storm frequency is projected to increase in the future.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-019-01230-2","usgsCitation":"Benscoter, A., Beerens, J., and Romanach, S., 2020, Coastal marsh bird habitat selection and responses to Hurricane Sandy: Wetlands, v. 40, p. 799-810, https://doi.org/10.1007/s13157-019-01230-2.","productDescription":"12 p.","startPage":"799","endPage":"810","ipdsId":"IP-105945","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437206,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77M063T","text":"USGS data release","linkHelpText":"Determining the habitat suitability of coastal waterbirds in New Jersey: impacts related to Hurricane Sandy"},{"id":369363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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Jersey\",\"nation\":\"USA  \"}}]}","volume":"40","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":220759,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":775646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beerens, James 0000-0001-8143-916X","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":220760,"corporation":false,"usgs":true,"family":"Beerens","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":775647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":220761,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":775648,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207446,"text":"70207446 - 2020 - Turtle biogeography: Global regionalization and conservation priorities","interactions":[],"lastModifiedDate":"2020-02-06T11:09:02","indexId":"70207446","displayToPublicDate":"2019-11-12T12:51:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Turtle biogeography: Global regionalization and conservation priorities","docAbstract":"<p><span>Defaunation in the Anthropocene has created a need to focus limited conservation resources on geographically-explicit areas with high conservation significance. Priority conservation areas are often defined as those with high biodiversity – hotspots. While these conservation areas are critical to securing global biodiversity, prevailing approaches for their delineation are often qualitative. Here, we demonstrate the benefits of a clade-specific approach that improves conservation. We use the distinct, imperiled clade of turtles (tortoises and freshwater turtles) to delineate biogeographical regions and characterize their comparative levels of biodiversity and conservation values. We produce a quantitative, revisable map of 63 global turtle regions and identify several turtle regions, mostly in the Indomalayan turtle realm, that are high-priority conservation regions. While our high-priority turtle regions include those previously reported in the literature as turtle hotspots, we also describe a new priority conservation region in Southeast Asia (Yangtze-Huang He-Xi Yiang) which has both high species and endemism richness. Although not considered a high or intermediate conservation priority, our analyses delineated another previously unidentified turtle hotspot – the Kalahari Basin-Rift Valley. Additionally, we identify several turtle regions, largely in Central America, with intermediate conservation priority. Our results reveal that many turtle hotspots represent complex biogeographical areas with high inter-regional&nbsp;</span><i>β</i><span>-diversity, and several of these turtle-hotspots occur in transition zones with high biogeographical complexity. In these cases, inter-regional conservation efforts will be necessary to ensure turtle biodiversity conservation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.108323","usgsCitation":"Ennen, J., Agha, M., Sweat, S.C., Matamoros, W.A., Lovich, J.E., Rhodin, A.G., Iverson, J.B., and Hoagstrom, C.W., 2020, Turtle biogeography: Global regionalization and conservation priorities: Biological Conservation, v. 241, 108323, 11 p., https://doi.org/10.1016/j.biocon.2019.108323.","productDescription":"108323, 11 p.","ipdsId":"IP-085189","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":370494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"241","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":778072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":778073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweat, Sarah C.","contributorId":195519,"corporation":false,"usgs":false,"family":"Sweat","given":"Sarah","email":"","middleInitial":"C.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":778074,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matamoros, Wilfredo A.","contributorId":172518,"corporation":false,"usgs":false,"family":"Matamoros","given":"Wilfredo","email":"","middleInitial":"A.","affiliations":[{"id":27060,"text":"Facultad de Ciencias Biologicas, Universidad de Cencias y Artes de Chiapas, Museo de Zoologia, Tuxtla Gutiérrez, Chiapas, México Apartado Postal 29000, México","active":true,"usgs":false}],"preferred":false,"id":778075,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":778071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rhodin, Anders G.J.","contributorId":212691,"corporation":false,"usgs":false,"family":"Rhodin","given":"Anders","email":"","middleInitial":"G.J.","affiliations":[{"id":38677,"text":"(1) Chelonian Research Foundation, Lunenburg, Massachusetts, USA (rhodincrf@aol.com); (2) University of Southern California, Los Angeles, California, USA (stanford@usc.edu)","active":true,"usgs":false}],"preferred":false,"id":778077,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iverson, John B.","contributorId":147488,"corporation":false,"usgs":false,"family":"Iverson","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":778078,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoagstrom, Christopher W.","contributorId":195520,"corporation":false,"usgs":false,"family":"Hoagstrom","given":"Christopher","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":778076,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70211826,"text":"70211826 - 2020 - The mineral diversity of Jezero crater: Evidence for possible lacustrine carbonates on Mars","interactions":[],"lastModifiedDate":"2020-08-07T22:03:59.417806","indexId":"70211826","displayToPublicDate":"2019-11-11T17:00:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"The mineral diversity of Jezero crater: Evidence for possible lacustrine carbonates on Mars","docAbstract":"<p><span>Noachian-aged Jezero crater is the only known location on Mars where clear orbital detections of carbonates are found in close proximity to clear fluvio-lacustrine features indicating the past presence of a paleolake; however, it is unclear whether or not the carbonates in Jezero are related to the lacustrine activity. This distinction is critical for evaluating the astrobiological potential of the site, as lacustrine carbonates on Earth are capable of preserving biosignatures at scales that may be detectable by a landed mission like the Mars 2020 rover, which is planned to land in Jezero in February 2021. In this study, we conduct a detailed investigation of the mineralogical and morphological properties of geological units within Jezero crater in order to better constrain the origin of carbonates in the basin and their timing relative to fluvio-lacustrine activity. Using orbital visible/near-infrared hyperspectral images from the Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) along with high resolution imagery and digital elevation models, we identify a distinct carbonate-bearing unit, the “Marginal Carbonates,” located along the inner margin of the crater, near the largest inlet valley and the western delta. Based on their strong carbonate signatures, topographic properties, and location in the crater, we propose that this unit may preserve authigenic lacustrine carbonates, precipitated in the near-shore environment of the Jezero paleolake. Comparison to carbonate deposits from terrestrial closed basin lakes suggests that if the Marginal Carbonates are lacustrine in origin, they could preserve macro- and microscopic biosignatures in microbialite rocks like stromatolites, some of which would likely be detectable by Mars 2020. The Marginal Carbonates may represent just one phase of a complex fluvio-lacustrine history in Jezero crater, as we find that the spectral diversity of the fluvio-lacustrine deposits in the crater is consistent with a long-lived lake system cataloging the deposition and erosion of regional geologic units. Thus, Jezero crater may contain a unique record of the evolution of surface environments, climates, and habitability on early Mars.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2019.113526","usgsCitation":"Horgan, B., Anderson, R.B., Dromart, G., Amador, E.S., and Rice, M.S., 2020, The mineral diversity of Jezero crater: Evidence for possible lacustrine carbonates on Mars: Icarus, v. 339, 113526, 34 p., https://doi.org/10.1016/j.icarus.2019.113526.","productDescription":"113526, 34 p.","ipdsId":"IP-111142","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":458525,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2019.113526","text":"Publisher Index Page"},{"id":377214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"339","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Horgan, Briony H. N.","contributorId":237069,"corporation":false,"usgs":false,"family":"Horgan","given":"Briony H. N.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":795256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":795257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dromart, G.","contributorId":237771,"corporation":false,"usgs":false,"family":"Dromart","given":"G.","affiliations":[{"id":47605,"text":"U. Lyon","active":true,"usgs":false}],"preferred":false,"id":795258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amador, Elena S.","contributorId":237804,"corporation":false,"usgs":false,"family":"Amador","given":"Elena","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":795345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rice, Melissa S.","contributorId":237772,"corporation":false,"usgs":false,"family":"Rice","given":"Melissa","email":"","middleInitial":"S.","affiliations":[{"id":47606,"text":"Western Washington U.","active":true,"usgs":false}],"preferred":false,"id":795259,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208061,"text":"70208061 - 2020 - Brodifacoum toxicity in American Kestrels (Falco sparverius) with evidence of increased hazard upon subsequent anticoagulant rodenticide exposure","interactions":[],"lastModifiedDate":"2023-06-28T16:36:38.893367","indexId":"70208061","displayToPublicDate":"2019-11-09T09:26:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Brodifacoum toxicity in American Kestrels (<i>Falco sparverius</i>) with evidence of increased hazard upon subsequent anticoagulant rodenticide exposure","title":"Brodifacoum toxicity in American Kestrels (Falco sparverius) with evidence of increased hazard upon subsequent anticoagulant rodenticide exposure","docAbstract":"A seminal question in ecotoxicology is the extent to which contaminant exposure evokes prolonged effects on physiological function and fitness. A series of studies were undertaken with American kestrels ingesting environmentally realistic concentrations of the second-generation anticoagulant rodenticide (SGAR) brodifacoum (BROD). Kestrels fed BROD at 0.3, 1.0 or 3.0 µg/g diet wet wt for 7 d exhibited dose-dependent hemorrhage, histopathological lesions and coagulopathy (prolonged prothrombin and Russell’s viper venom times). Following termination of a 7 d exposure to 0.5 µg BROD/g diet, prolonged blood clotting time returned to baseline values within a week, but BROD residues in liver and kidney (terminal half-life estimates >50 d) persisted during the 28 d recovery period. In order to examine the hazard of sequential AR exposure, kestrels were exposed to either the firstgeneration AR chlorophacinone (CPN; 1.5 µg/g diet) or the SGAR BROD (0.5 µg/g diet) for 7 d, and following a recovery period, were challenged with a low dose of CPN (0.75 µg/g diet) for 7 d. In BROD-exposed kestrels, the challenge exposure clearly prolonged prothrombin time compared to naïve controls and kestrels previously exposed to CPN. These data provide evidence that the SGAR BROD may have prolonged effects that increase toxicity of subsequent AR exposure. As free-ranging predatory and scavenging wildlife are often repeatedly exposed to ARs, such protracted toxicological effects need to be considered in hazard and risk assessments.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4629","usgsCitation":"Rattner, B.A., Volker, S.F., Lankton, J.S., Bean, T., Lazarus, R.S., and Horak, K., 2020, Brodifacoum toxicity in American Kestrels (Falco sparverius) with evidence of increased hazard upon subsequent anticoagulant rodenticide exposure: Environmental Toxicology and Chemistry, v. 39, no. 2, p. 468-481, https://doi.org/10.1002/etc.4629.","productDescription":"14 p.; 2 Data Releases","startPage":"468","endPage":"481","ipdsId":"IP-109712","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":371558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418594,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9503Y4X","linkFileType":{"id":5,"text":"html"}},{"id":418593,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K6U6R4","linkFileType":{"id":5,"text":"html"}}],"volume":"39","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":780316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Volker, Steven F","contributorId":202541,"corporation":false,"usgs":false,"family":"Volker","given":"Steven","email":"","middleInitial":"F","affiliations":[{"id":36474,"text":"USDA-APHIS-WS National Wildlife Reseach Center","active":true,"usgs":false}],"preferred":false,"id":780328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":780329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bean, Thomas G. 0000-0002-3577-1994 tbean@usgs.gov","orcid":"https://orcid.org/0000-0002-3577-1994","contributorId":195993,"corporation":false,"usgs":true,"family":"Bean","given":"Thomas G.","email":"tbean@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":780330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lazarus, Rebecca S. 0000-0003-1731-6469 rlazarus@usgs.gov","orcid":"https://orcid.org/0000-0003-1731-6469","contributorId":5594,"corporation":false,"usgs":true,"family":"Lazarus","given":"Rebecca","email":"rlazarus@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":780331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horak, Katherine E.","contributorId":58760,"corporation":false,"usgs":true,"family":"Horak","given":"Katherine E.","affiliations":[],"preferred":false,"id":780332,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70212613,"text":"70212613 - 2020 - Classification of oil spill by thicknesses using multiple remote sensors","interactions":[],"lastModifiedDate":"2020-08-24T14:12:42.526677","indexId":"70212613","displayToPublicDate":"2019-11-09T09:09:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Classification of oil spill by thicknesses using multiple remote sensors","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Satellite Synthetic Aperture Radar (SAR) is an operational tool for monitoring and assessment of oil spills. Satellite SAR has primarily been used to detect the presence/absence of oil, yet its ability to discriminate oil emulsions within a detected oil slick has not been fully exploited. Additionally, one of the challenges in the past has been the ability to deliver strategic information derived from satellite remote sensing in a timely fashion to responders in the field. This study presents methods for the rapid classification of oil types and estimated thicknesses, from which information about thick oil and oil emulsions (i.e., “actionable” oil) can be delivered in an operational timeframe to responders in the field. Experiments carried out at the OHMSETT test facility in New Jersey demonstrate that under specific viewing conditions, a single polarization satellite SAR image can record a signal variance between thick stable emulsions and non-emulsified oil. During a series of field campaigns in the Gulf of Mexico with in situ measurements of oil thickness, multiple satellite data were obtained including fully polarimetric C-band SAR imagery from RADARSAT-2 and multispectral imagery from ASTER and WorldView-2. One campaign included the airborne polarimetric UAVSAR L-band sensor. An oil/emulsion thickness classification product was generated based on RADARSAT-2 polarimetric imagery using entropy and the damping ratio derivations. Herein, we present the classification methods to generate oil thickness products from SAR, validated by sea-truth observations, the multispectral imagery, and the UAVSAR data. We tested the ability to deliver these products with minimum latency to responding vessels via NOAA. During field operations in the Gulf of Mexico, a satellite SAR-based product of oil delineation by relative thickness was delivered to a responding vessel 42 min after the RADARSAT-2 data acquisition. This proof-of-concept test using satellite SAR and multispectral imagery to detect emulsions and deliver a derived information product to a vessel in near-real-time points directly to methods for satellite-based assets to be used in the near future for oil spill tactical response operations.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2019.111421","usgsCitation":"Garcia-Pineda, O., Staples, G., Jones, C., Hu, C., Holt, B., Kourafalou, V., Graettinger, G., DiPinto, L., Ramirez, E., Street, D., Cho, J., Swayze, G.A., Sun, S., Garcia, D., and Haces-Garcia, F., 2020, Classification of oil spill by thicknesses using multiple remote sensors: Remote Sensing of Environment, v. 236, 111421, 15 p., https://doi.org/10.1016/j.rse.2019.111421.","productDescription":"111421, 15 p.","ipdsId":"IP-101173","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":458528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2019.111421","text":"Publisher Index Page"},{"id":377789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.2471923828125,\n              28.943265329407495\n            ],\n            [\n              -88.93157958984375,\n              28.943265329407495\n            ],\n            [\n              -88.93157958984375,\n              30.17599895913958\n            ],\n            [\n              -90.2471923828125,\n              30.17599895913958\n            ],\n            [\n              -90.2471923828125,\n              28.943265329407495\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"236","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia-Pineda, Oscar","contributorId":239510,"corporation":false,"usgs":false,"family":"Garcia-Pineda","given":"Oscar","email":"","affiliations":[{"id":47896,"text":"Water Mapping LLC","active":true,"usgs":false}],"preferred":false,"id":797084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staples, Gordon","contributorId":239511,"corporation":false,"usgs":false,"family":"Staples","given":"Gordon","email":"","affiliations":[{"id":47897,"text":"MDA","active":true,"usgs":false}],"preferred":false,"id":797085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Cathleen E","contributorId":189314,"corporation":false,"usgs":false,"family":"Jones","given":"Cathleen E","affiliations":[],"preferred":false,"id":797086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hu, Chuanmin","contributorId":177055,"corporation":false,"usgs":false,"family":"Hu","given":"Chuanmin","email":"","affiliations":[],"preferred":false,"id":797087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holt, Benjamin","contributorId":239512,"corporation":false,"usgs":false,"family":"Holt","given":"Benjamin","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":797088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kourafalou, Villy","contributorId":239513,"corporation":false,"usgs":false,"family":"Kourafalou","given":"Villy","email":"","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":797089,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graettinger, George","contributorId":239514,"corporation":false,"usgs":false,"family":"Graettinger","given":"George","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":797090,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DiPinto, Lisa","contributorId":239515,"corporation":false,"usgs":false,"family":"DiPinto","given":"Lisa","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":797091,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ramirez, Ellen","contributorId":239516,"corporation":false,"usgs":false,"family":"Ramirez","given":"Ellen","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":797092,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Street, David","contributorId":239517,"corporation":false,"usgs":false,"family":"Street","given":"David","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":797093,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cho, Jay","contributorId":239518,"corporation":false,"usgs":false,"family":"Cho","given":"Jay","email":"","affiliations":[{"id":47898,"text":"BSEE","active":true,"usgs":false}],"preferred":false,"id":797094,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":797095,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sun, Shaojie","contributorId":150679,"corporation":false,"usgs":false,"family":"Sun","given":"Shaojie","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":797096,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Garcia, Diana","contributorId":239519,"corporation":false,"usgs":false,"family":"Garcia","given":"Diana","email":"","affiliations":[{"id":47899,"text":"Water Mapping, LLC","active":true,"usgs":false}],"preferred":false,"id":797097,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Haces-Garcia, Francisco","contributorId":239520,"corporation":false,"usgs":false,"family":"Haces-Garcia","given":"Francisco","email":"","affiliations":[{"id":47899,"text":"Water Mapping, LLC","active":true,"usgs":false}],"preferred":false,"id":797098,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70208112,"text":"70208112 - 2020 - Seasonal variation in sediment delivery across the bay-marsh interface of an estuarine salt marsh","interactions":[],"lastModifiedDate":"2020-01-27T19:20:35","indexId":"70208112","displayToPublicDate":"2019-11-08T19:19:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variation in sediment delivery across the bay-marsh interface of an estuarine salt marsh","docAbstract":"Sediment transport across bay–marsh interfaces depends on wave energy, vegetation, and marsh-edge morphology, and varies over a range of timescales. We investigated these dynamics in a tidal salt marsh with a gently-sloped, vegetated edge adjacent to northern San Francisco Bay. Spartina foliosa (cordgrass) inhabits the lower marsh and Salicornia paciﬁca (pickleweed) predominates on the marsh plain. We measured suspended-sediment concentration (SSC) and hydrodynamics in bay shallows and along a 100-m cross-shore transect in the marsh, during winter and summer. Four-year averaged accretion measured with marker-horizon plots was twice as great along the marsh transect as adjacent to a tidal creek, 50 m from the bay. We estimated deposition and trapping eﬃciency from the time-series data to assess its variation with season and wave energy. At high tide the transition zone (between cordgrass and pickleweed) was usually erosional, the pickleweed zone was depositional, and both erosion and deposition increased with wave energy, as did the landward position of maximum deposition. Erosion from the transition zone accounted for approximately one-third of the sediment ﬂux into the pickleweed. In the pickleweed zone, SSC, the diﬀerence between ﬂood- and ebb-tide SSC and trapping eﬃciency were greater in summer than winter for comparable wave conditions, which we attribute to increased sediment trapping by dense summer cordgrass. Moderate waves in summer (46%) accounted for more annual accretion in the pickleweed zone than larger waves in winter (28%), although the contribution of winter storms was diminished by the dry winter during the study.","language":"English","publisher":"Wiley","doi":"10.1029/2019JC015268","usgsCitation":"Lacy, J.R., Foster-Martinez, M.R., Allen, R., Ferner, M.C., and Callaway, J.C., 2020, Seasonal variation in sediment delivery across the bay-marsh interface of an estuarine salt marsh: Journal of Geophysical Research C: Oceans, v. 125, no. 1, e2019JC015268, https://doi.org/10.1029/2019JC015268.","productDescription":"e2019JC015268","ipdsId":"IP-108231","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":371615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.04687499999999,\n              37.21283151445594\n            ],\n            [\n              -121.6845703125,\n              37.21283151445594\n            ],\n            [\n              -121.6845703125,\n              38.30718056188316\n            ],\n            [\n              -123.04687499999999,\n              38.30718056188316\n            ],\n            [\n              -123.04687499999999,\n              37.21283151445594\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster-Martinez, Madeline R.","contributorId":201705,"corporation":false,"usgs":false,"family":"Foster-Martinez","given":"Madeline","email":"","middleInitial":"R.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":780521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Rachel 0000-0002-0284-6466","orcid":"https://orcid.org/0000-0002-0284-6466","contributorId":221857,"corporation":false,"usgs":true,"family":"Allen","given":"Rachel","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferner, Matthew C.","contributorId":176972,"corporation":false,"usgs":false,"family":"Ferner","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":780523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Callaway, John C. 0000-0002-7364-286X","orcid":"https://orcid.org/0000-0002-7364-286X","contributorId":205456,"corporation":false,"usgs":false,"family":"Callaway","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":37110,"text":"Dept. of Environmental Science, University of San Francisco, 2130 Fulton St., San Francisco, CA 94117","active":true,"usgs":false}],"preferred":false,"id":780524,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208106,"text":"70208106 - 2020 - Wintering in the western subarctic pacific increases mercury contamination of Red-legged Kittiwakes","interactions":[],"lastModifiedDate":"2020-01-27T19:32:57","indexId":"70208106","displayToPublicDate":"2019-11-06T19:30:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Wintering in the western subarctic pacific increases mercury contamination of Red-legged Kittiwakes","docAbstract":"Marine methylmercury concentrations vary geographically and with depth, exposing organisms to different mercury levels in unique habitats.  Red-legged kittiwakes (Rissa brevirostris), a specialist predator, forage on fish and invertebrates from the mesopelagic zone, a part of the ocean with elevated methylmercury concentrations.  We used kittiwakes as bioindicators of MeHg concentrations in remote mesopelagic systems by examining how wintering distribution and habitat affected kittiwakes’ mercury exposure. In 2011-2017, we sampled winter-grown feathers on St. George Island, Alaska, from birds equipped with geolocation loggers. We measured total mercury (THg) and nitrogen stable in nape and head feathers grown during winter, respectively. THg concentration of kittiwake nape feathers averaged 4.61 ± 0.97 µg/g dry weight. Hierarchical cluster analysis was used to classify winter habitats with remotely sensed environmental variables along each bird’s track. Five habitat clusters were identified. Birds that spent more time in the Western Subarctic Gyre and those that wintered further south had elevated THg concentrations. In contrast to THg, trophic level varied annually but did not show strong spatial patterns. Our results documented spatial variability in THg exposure based on the oceanic wintering locations of red-legged kittiwakes and highlight their use as a bioindicator of MeHg across ocean basins.","language":"English","publisher":"ACS","doi":"10.1021/acs.est.9b03421","usgsCitation":"Fleishman, A., Orben, R., Kokubun, N., Will, A., Paredes, R., Ackerman, J., Takahashi, A., Kitaysky, A., and Shaffer, S.A., 2020, Wintering in the western subarctic pacific increases mercury contamination of Red-legged Kittiwakes: Environmental Science & Technology, v. 53, no. 22, p. 13398-13407, https://doi.org/10.1021/acs.est.9b03421.","productDescription":"10 p.","startPage":"13398","endPage":"13407","ipdsId":"IP-109002","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":371619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"St. George Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -169.8211669921875,\n              56.52162451897936\n            ],\n            [\n              -169.43664550781247,\n              56.52162451897936\n            ],\n            [\n              -169.43664550781247,\n              56.654716773677215\n            ],\n            [\n              -169.8211669921875,\n              56.654716773677215\n            ],\n            [\n              -169.8211669921875,\n              56.52162451897936\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"53","issue":"22","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Fleishman, Abram S","contributorId":221840,"corporation":false,"usgs":false,"family":"Fleishman","given":"Abram S","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":780480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orben, Rachael","contributorId":221841,"corporation":false,"usgs":false,"family":"Orben","given":"Rachael","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":780481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kokubun, Nobuo","contributorId":221842,"corporation":false,"usgs":false,"family":"Kokubun","given":"Nobuo","email":"","affiliations":[{"id":40439,"text":"National Institute of Polar Research","active":true,"usgs":false}],"preferred":false,"id":780482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Will, Alexis","contributorId":221843,"corporation":false,"usgs":false,"family":"Will","given":"Alexis","affiliations":[{"id":40439,"text":"National Institute of Polar Research","active":true,"usgs":false}],"preferred":false,"id":780483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paredes, Rosana","contributorId":221844,"corporation":false,"usgs":false,"family":"Paredes","given":"Rosana","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":780484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":780479,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Takahashi, Akinori 0000-0002-9868-0408","orcid":"https://orcid.org/0000-0002-9868-0408","contributorId":221845,"corporation":false,"usgs":false,"family":"Takahashi","given":"Akinori","email":"","affiliations":[{"id":40439,"text":"National Institute of Polar Research","active":true,"usgs":false}],"preferred":false,"id":780485,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kitaysky, Alexander","contributorId":221846,"corporation":false,"usgs":false,"family":"Kitaysky","given":"Alexander","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":780486,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shaffer, Scott A. 0000-0002-7751-5059","orcid":"https://orcid.org/0000-0002-7751-5059","contributorId":202761,"corporation":false,"usgs":false,"family":"Shaffer","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":24620,"text":"San Jose State University","active":true,"usgs":false}],"preferred":false,"id":780487,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70206749,"text":"70206749 - 2020 - Petroleum hydrocarbons in semipermeable membrane devices deployed in the Northern Gulf of Mexico and Florida keys following the Deepwater Horizon incident","interactions":[],"lastModifiedDate":"2020-01-03T10:43:16","indexId":"70206749","displayToPublicDate":"2019-11-06T16:03:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Petroleum hydrocarbons in semipermeable membrane devices deployed in the Northern Gulf of Mexico and Florida keys following the Deepwater Horizon incident","docAbstract":"<p><span>The&nbsp;</span><i>Deepwater Horizon</i><span>&nbsp;(DWH) oil spill from April to July of 2010 contaminated Gulf of Mexico waters through release of an estimated 4.1 × 10</span><sup>6</sup><span>&nbsp;barrels of oil. Beginning in June of 2010, semipermeable membrane devices (SPMDs) were deployed near areas with sensitive marine habitats (Alabama Alps and Western Shelf) potentially exposed to that oil. Elevated TPAH50 concentrations, flux rates and similarity of histograms and diagnostic ratios for polycyclic aromatic hydrocarbons (PAH) from SPMDs to weathered floating oil collected during the DWH spill indicates the Alabama Alps habitats were affected. While not affected by oil from the DWH spill, the temporal pattern of PAH contamination of SPMDs deployed near the Western Shelf between July 2010 and March 2011 could indicate prevailing currents affected contaminant transport to the Western Shelf Area (East and West Flower Garden, Sonnier, and Stetson Banks) from non-DWH sources, including oil and gas exploration, shipping, and Mississippi River effluent.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2019.110622","usgsCitation":"Bargar, T., Alvarez, D.A., and Stout, S.A., 2020, Petroleum hydrocarbons in semipermeable membrane devices deployed in the Northern Gulf of Mexico and Florida keys following the Deepwater Horizon incident: Marine Pollution Bulletin, v. 150, 110662, 8 p., https://doi.org/10.1016/j.marpolbul.2019.110622.","productDescription":"110662, 8 p.","ipdsId":"IP-101106","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2019.110622","text":"Publisher Index Page"},{"id":369362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Mexico","state":"Florida","otherGeospatial":"Northern Gulf of Mexico, Florida Keys","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.4384765625,\n              25.443274612305746\n            ],\n            [\n              -89.56054687499999,\n              25.443274612305746\n            ],\n            [\n              -89.56054687499999,\n              27.800209937418252\n            ],\n            [\n              -94.4384765625,\n              27.800209937418252\n            ],\n            [\n              -94.4384765625,\n              25.443274612305746\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.6396484375,\n              25.20494115356912\n            ],\n            [\n              -82.08984375,\n              24.766784522874453\n            ],\n            [\n              -82.3974609375,\n              24.246964554300924\n            ],\n            [\n              -81.7822265625,\n              24.00632619875113\n            ],\n            [\n              -80.0244140625,\n              25.045792240303445\n            ],\n            [\n              -80.6396484375,\n              25.20494115356912\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"150","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bargar, Timothy 0000-0001-8588-3436","orcid":"https://orcid.org/0000-0001-8588-3436","contributorId":220762,"corporation":false,"usgs":true,"family":"Bargar","given":"Timothy","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":775649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":775650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stout, Scott A.","contributorId":207029,"corporation":false,"usgs":false,"family":"Stout","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":775651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207191,"text":"70207191 - 2020 - Calibration analysis and noise estimates of WWSSN Station ALQ (Albuquerque, New Mexico)","interactions":[],"lastModifiedDate":"2020-06-04T16:42:40.096503","indexId":"70207191","displayToPublicDate":"2019-11-06T15:05:44","publicationYear":"2020","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":"Calibration analysis and noise estimates of WWSSN Station ALQ (Albuquerque, New Mexico)","docAbstract":"<p><span>World‐Wide Standardized Seismograph Network (WWSSN) records contain daily calibration pulses that can be used to retrieve the magnification as well as the response of the instrument for a given day record. We analyze a select number of long‐period vertical (LPZ) records from WWSSN station ALQ (Albuquerque, New Mexico). Although we find that the response of this instrument varies widely throughout time, we show that in most cases, we are able to estimate a pole‐zero response that has a root mean square error of&nbsp;</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;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;lt;</mo><mn xmlns=&quot;&quot;>10</mn><mo xmlns=&quot;&quot;>%</mo></math>\"><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mo\"></span></span></span></span></span><span class=\"MJX_Assistive_MathML\">&lt;10%</span></span>⁠</span><span>. The variability of responses in historical networks has been reported elsewhere because a large number of adjustments of the galvanometer and seismometer were necessary. Using our derived responses, we estimate noise levels for a number of 1 hr digitized traces. We find that noise levels for the LPZ ALQ records are lower than previously reported, suggesting that these records can resolve smaller amplitude signals than previously suggested. We also find that although care must be taken in the digitization and calibration analysis, we are not limited by noise introduced in the digitization process. Finally, we see that to retrieve the full secondary microseism amplitude, we must use both the LPZ and short‐period components because the LPZ component is limited by system noise at periods less than&nbsp;</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;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>5</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>s</mi></math>\"><span class=\"MJX_Assistive_MathML\">∼5  s</span></span>⁠</span><span>.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190201","usgsCitation":"Ringler, A.T., Wilson, D.C., Wolin, E., Storm, T., and Sandoval, L.D., 2020, Calibration analysis and noise estimates of WWSSN Station ALQ (Albuquerque, New Mexico): Seismological Research Letters, v. 91, no. 3, p. 1359-1366, https://doi.org/10.1785/0220190201.","productDescription":"8 p.","startPage":"1359","endPage":"1366","ipdsId":"IP-111759","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":370184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","city":"Albuquerque","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.98486328124999,\n              34.7506398050501\n            ],\n            [\n              -106.051025390625,\n              34.7506398050501\n            ],\n            [\n              -106.051025390625,\n              35.31736632923788\n            ],\n            [\n              -106.98486328124999,\n              35.31736632923788\n            ],\n            [\n              -106.98486328124999,\n              34.7506398050501\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolin, Emily 0000-0003-1610-1191 ewolin@usgs.gov","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":198778,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","email":"ewolin@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":777217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storm, Tyler 0000-0002-6787-9545 tstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-9545","contributorId":152165,"corporation":false,"usgs":true,"family":"Storm","given":"Tyler","email":"tstorm@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":777218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandoval, L. D.","contributorId":221154,"corporation":false,"usgs":false,"family":"Sandoval","given":"L.","email":"","middleInitial":"D.","affiliations":[{"id":40339,"text":"KBRwyle","active":true,"usgs":false}],"preferred":false,"id":777219,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210925,"text":"70210925 - 2020 - Survival and conflict behavior of American black bears after rehabilitation","interactions":[],"lastModifiedDate":"2020-07-03T14:31:52.374347","indexId":"70210925","displayToPublicDate":"2019-11-06T09:31:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Survival and conflict behavior of American black bears after rehabilitation","docAbstract":"<p><span>Wildlife agencies face difficult situations when orphaned or injured American black bear (</span><i>Ursus americanus<span>&nbsp;</span></i><span>) cubs (&lt;12 months old) or yearlings (≥12 and &lt;24 months old) are captured. One option is bear rehabilitation, the care and feeding of cubs or yearlings in a semi‐natural environment, followed by release. Unfortunately, the survival and movements of bears released from rehabilitation facilities are often poorly documented and the ultimate reasons for success or failure poorly understood. Our goal was to assess survival and post‐release conflict of orphaned bear cubs and yearlings following release from a rehabilitation facility, Appalachian Bear Rescue (ABR), in Townsend, Tennessee, USA, from 2015–2016. We predicted that rehabilitated bears would survive at similar rates, die from similar causes, and engage in similar conflict behavior to wild conspecifics. We equipped 42 black bear cubs and yearlings from ABR with global positioning system‐collars and released them in Great Smoky Mountains National Park or Cherokee National Forest, Tennessee and North Carolina, USA. Estimated annual survival using known‐fate methods for all released bears was 0.93 ± 0.06 [SE]). Survival for 13 bears released as cubs was 0.64 ± 0.14, whereas none of the bears released as yearlings died within 1 year after release (</span><i>n<span>&nbsp;</span></i><span> = 29). Survival of rehabilitated bears was similar to or higher than published rates for wild conspecifics. Three of 42 bears (7.1%) released from ABR engaged in conflict behavior up to 1 year following release, and those had spent time involved in conflict behavior with their mothers (e.g., approaching humans) prior to being orphaned. Despite not having the typical post‐natal experience with their mothers, the bears in our study appeared to behave and survive similarly to their wild conspecifics. Rehabilitation is effective for managing orphaned or injured bears. Best survival occurred for bears released as yearlings; however, managers can maximize cub survival through fall releases when plentiful wild foods are available.&nbsp;</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21783","usgsCitation":"Blair, C.D., Muller, L., Clark, J.D., and Stiver, W., 2020, Survival and conflict behavior of American black bears after rehabilitation: Journal of Wildlife Management, v. 84, no. 1, p. 75-84, https://doi.org/10.1002/jwmg.21783.","productDescription":"10 p.","startPage":"75","endPage":"84","ipdsId":"IP-104772","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":458539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21783","text":"Publisher Index Page"},{"id":376124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","otherGeospatial":"Cherokee National Forest, Great Smoky Mountains National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.04290771484374,\n              35.572448615622804\n            ],\n            [\n              -83.03741455078125,\n              35.75988604933661\n            ],\n            [\n              -83.2269287109375,\n              35.78885488168885\n            ],\n            [\n              -83.858642578125,\n              35.6907639509368\n            ],\n            [\n              -84.1552734375,\n              35.55904339525896\n            ],\n            [\n              -84.4793701171875,\n              35.33977430038646\n            ],\n            [\n              -84.67987060546874,\n              35.09519259251624\n            ],\n            [\n              -84.42718505859375,\n              35.0367432201753\n            ],\n            [\n              -84.21844482421875,\n              35.20298910562885\n            ],\n            [\n              -83.8970947265625,\n              35.22991591449646\n            ],\n            [\n              -83.85589599609375,\n              35.411438052435464\n            ],\n            [\n              -83.56475830078124,\n              35.41367651903578\n            ],\n            [\n              -83.2928466796875,\n              35.43605776486772\n            ],\n            [\n              -83.04290771484374,\n              35.572448615622804\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"84","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Blair, Coy D","contributorId":228822,"corporation":false,"usgs":false,"family":"Blair","given":"Coy","email":"","middleInitial":"D","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":792176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muller, Lisa I","contributorId":228823,"corporation":false,"usgs":false,"family":"Muller","given":"Lisa I","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":792177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":792178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stiver, William H","contributorId":228824,"corporation":false,"usgs":false,"family":"Stiver","given":"William H","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":792179,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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