Fatty acid analysis of periphyton is an emerging tool for assessing the condition of a stream ecosystem on the basis of its water quality. The study presented in this report was designed to test the hypothesis that periphyton communities have a fatty acid profile that can detect excessive turbidity and suspended sediment. The fatty acid composition of periphyton was assessed during two seasons upstream and downstream from an underground aqueduct that provides supplemental flows, which are a potential source of turbidity and suspended sediment on the upper Esopus Creek, New York. These data were compared with measurements of periphyton standing crop, diatom community structure and integrity, and basic water-quality parameters. Periphyton standing crop and diatom community integrity indicated little evidence of impairment from the supplemental flows. The relative abundances of two physiologically important fatty acids, γ-linolenic acid (18:3ω6) and eicosapentaenoic acid (20:5ω3), were significantly lower downstream from the supplemental flows and multivariate analyses of fatty acid profiles identified significant differences between sites upstream and downstream from the supplemental flows. Individual fatty acids and summary metrics, however, were not significantly correlated with turbidity or suspended sediment. Together, these results indicate that the supplemental flows may cause some measurable effects but they do not constitute a major disturbance to the periphyton community on the upper Esopus Creek. Fatty acid analysis may have potential as a tool for monitoring changes in periphyton nutritional composition that may reflect water quality and ecosystem health but needs to be further evaluated around a more definitive source of water-quality impairment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155161","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"George, S.D., Ernst, A.G., Baldigo, B.P., and Honeyfield, D.C., 2016, Response of periphyton fatty acid composition to supplemental flows in the upper Esopus Creek, Catskill Mountains, New York: U.S. Geological Survey Scientific Investigations Report 2015–5161, 22 p., with appendixes, https://dx.doi.org/10.3133/sir20155161.","productDescription":"viii, 22 p.","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050857","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":313924,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5161/coverthb.jpg"},{"id":313925,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5161/sir20155161.pdf","text":"Report","size":"3.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5161"}],"country":"United States","state":"New York","otherGeospatial":"Esopus Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.6466064453125,\n 41.99522219923445\n ],\n [\n -74.6466064453125,\n 42.15118709351198\n ],\n [\n -74.1632080078125,\n 42.15118709351198\n ],\n [\n -74.1632080078125,\n 41.99522219923445\n ],\n [\n -74.6466064453125,\n 41.99522219923445\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180-8349
Information requests:
(518) 285-5602
or visit our Web site at:
http://ny.water.usgs.gov
Paleomagnetic study of cores from six deep wells provides an independent temporal framework for much of the alluvial stratigraphy of the Quaternary basin beneath the Santa Clara Valley. This stratigraphy consists of 8 upward-fining cycles in the upper 300 m of section and an underlying 150 m or more of largely fine-grained sediment. The eight cycles have been correlated with the marine oxygen isotope record, thus providing one means of dating the section. The section has also proved to contain a rich paleomagnetic record despite the intermittent sedimentation characteristic of alluvial environments.
\nEach well was designed to reach a depth of ~300 m, although 2 were terminated at shallower depth where bedrock was encountered and one (GUAD) was deepened to bedrock at 407.2 m. Cores were taken at intermittent intervals in most of the wells, composing ~20%–25% of their depths. In GUAD an attempt was made to core the entire upper 300 m, with core recovery of 201.8 m (67%).
\nThe paleomagnetic framework ranges from the 32 ka Mono Lake excursion near the top of the second sedimentary cycle to below the 780 ka Brunhes-Matuyama geomagnetic reversal beneath the eighth cycle. These ages nicely fit those assigned to the section based on correlation with the marine oxygen isotope record. Several episodes of anomalous magnetic inclinations were also found within the cyclic section in some of the wells. Some of the episodes of anomalous magnetic inclinations are only separated by short normal intervals in a pattern similar to that described for some welldocumented excursions. We consider that a geomagnetic excursion was likely only if the anomalous inclinations were found at approximately the same stratigraphic position in more than one drill hole. A deeper time constraint is provided by the upper boundary (990 ka) of the Jaramillo Normal Polarity Subchron recognized at a depth of 302 m in one deeply penetrating well (GUAD). Approximately 100 m of normal Jaramillo section is evident below that in wells GUAD and EVGR.
\nThe reversal that we identify as the 780 ka Brunhes-Matuyama boundary, found at depths of 291–303 m in three wells, indicates an average rate of deposition in this upper section of ~37 cm/k.y. In GUAD, the top of the underlying normally polarized section, which we assign to the upper part of the Jaramillo Normal Polarity Subchron, was found between 301.8 and 304.5 m. The resultant 10 m of reversed polarity section above the Jaramillo seems anomalously short for this 210 k.y. part of the Matuyama Chron, during which several times that thickness of section probably should have accumulated. This observation indicates that a significant unconformity should be present in that short section between the Jaramillo Subchron and the Brunhes-Matuyama boundary. Deeper cores in two wells (GUAD and EVGR) all have normal polarity and seem to represent much of the Jaramillo Subchron, although no base for that subchron was found. The resultant minimum rate of sedimentation for this lower section beneath the unconformity is 170 cm/k.y.
\nThe Mono Lake (ca. 32 ka), Pringle Falls (ca. 210 ka), and Big Lost (ca. 565 ka) geomagnetic excursions all seem to be represented in the Santa Clara Valley wells. Possible correlations to the Laschamp (ca. 40 ka) and Blake (ca. 110 ka) excursions are also noted. Three additional excursions that have apparently not been previously reported from western North America occur within cycle 6 (between 536 and 433 ka), near the base of cycle 5 (after 433 ka), and near the middle of cycle 2 (before ca. 75 ka).
","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES01217.1","usgsCitation":"Mankinen, E.A., and Wentworth, C.M., 2016, Paleomagnetic record determined in cores from deep research wells in the Quaternary Santa Clara basin, California: Geosphere, v. 12, no. 1, p. 35-57, https://doi.org/10.1130/GES01217.1.","productDescription":"23 p.","startPage":"35","endPage":"57","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066289","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471339,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01217.1","text":"Publisher Index Page"},{"id":314921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.89056396484375,\n 37.48684571271661\n ],\n [\n -121.83151245117186,\n 37.400710068740565\n ],\n [\n -121.77520751953125,\n 37.34395908944491\n ],\n [\n -121.7340087890625,\n 37.28060928450999\n ],\n [\n -121.70654296874999,\n 37.21939331752986\n ],\n [\n -121.66259765625001,\n 37.17563718436526\n ],\n [\n -121.69281005859374,\n 37.143898131483034\n ],\n [\n -121.77246093750001,\n 37.18110808791507\n ],\n [\n -121.82601928710938,\n 37.184390439862604\n ],\n [\n -121.94137573242186,\n 37.23251521134915\n ],\n [\n -121.95648193359374,\n 37.20736290925364\n ],\n [\n -122.02377319335938,\n 37.2368886685595\n ],\n [\n -122.06222534179688,\n 37.274052809979054\n ],\n [\n -122.05123901367186,\n 37.29590550406618\n ],\n [\n -122.091064453125,\n 37.33304051804567\n ],\n [\n -122.17071533203125,\n 37.35815085913536\n ],\n [\n -122.17071533203125,\n 37.39525510959719\n ],\n [\n -122.09518432617186,\n 37.42470717168675\n ],\n [\n -121.97845458984375,\n 37.42906945530329\n ],\n [\n -121.93588256835938,\n 37.45087706042972\n ],\n [\n -121.89056396484375,\n 37.48684571271661\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-07","publicationStatus":"PW","scienceBaseUri":"56a9f848e4b012c193aa3ed5","contributors":{"authors":[{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":589889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wentworth, Carl M. 0000-0003-2569-569X cwent@usgs.gov","orcid":"https://orcid.org/0000-0003-2569-569X","contributorId":1178,"corporation":false,"usgs":true,"family":"Wentworth","given":"Carl","email":"cwent@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":589890,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70169029,"text":"70169029 - 2016 - Evaluating potential sources of variation in Chironomidae catch rates on sticky traps","interactions":[],"lastModifiedDate":"2016-12-16T11:01:02","indexId":"70169029","displayToPublicDate":"2016-01-07T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating potential sources of variation in Chironomidae catch rates on sticky traps","docAbstract":"Sticky traps are a convenient tool for assessing adult aquatic insect population dynamics, but there are many practical questions about how trap sampling artefacts may affect observed results. Utilising study sites on the Colorado River and two smaller streams in northern Arizona, USA, we evaluated whether catch rates and sex ratios of Chironomidae, a ubiquitous aquatic insect, were affected by spraying traps with insecticide, placing traps at different heights above ground, and placing traps at different locations within a terrestrial habitat patch. We also evaluated temporal variation in Chironomidae counts monthly over a 9-month growing season. We found no significant variation in catch rates or sex ratios between traps treated versus untreated with insecticide, nor between traps placed at the upstream or downstream end of a terrestrial habitat patch. Traps placed near ground level did have significantly higher catch rates than traps placed at 1.5 m, although sex ratios were similar across heights. Chironomidae abundance and sex ratios also varied from month-to-month and seemed to be related to climatic conditions. Our results inform future sticky trap studies by demonstrating that trap height, but not insecticide treatment or precise trap placement within a habitat patch, is an important source of variation influencing catch rates.
","language":"English","publisher":"Commonwealth Scientific and Industrial Research Organization","publisherLocation":"East Melbourne, Australia","doi":"10.1071/MF15189","usgsCitation":"Smith, J.T., Muehlbauer, J.D., and Kennedy, T.A., 2016, Evaluating potential sources of variation in Chironomidae catch rates on sticky traps: Marine and Freshwater Research, v. 67, no. 12, p. 1987-1990, https://doi.org/10.1071/MF15189.","productDescription":"4 p.","startPage":"1987","endPage":"1990","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061849","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":318823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"67","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e3fa41e4b0f59b85d4940d","contributors":{"authors":[{"text":"Smith, Joshua T. jtsmith@usgs.gov","contributorId":5044,"corporation":false,"usgs":true,"family":"Smith","given":"Joshua","email":"jtsmith@usgs.gov","middleInitial":"T.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":622607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muehlbauer, Jeffrey D. 0000-0003-1808-580X jmuehlbauer@usgs.gov","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":5045,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","email":"jmuehlbauer@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":622608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629 tkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":167537,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","email":"tkennedy@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":622609,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70161860,"text":"70161860 - 2016 - Post-disaster supply chain interdependent critical infrastructure system restoration: A review of data necessary and available for modeling","interactions":[],"lastModifiedDate":"2019-06-04T08:44:09","indexId":"70161860","displayToPublicDate":"2016-01-07T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1368,"text":"Data Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Post-disaster supply chain interdependent critical infrastructure system restoration: A review of data necessary and available for modeling","docAbstract":"The majority of restoration strategies in the wake of large-scale disasters have focused on short-term emergency response solutions. Few consider medium- to long-term restoration strategies to reconnect urban areas to national supply chain interdependent critical infrastructure systems (SCICI). These SCICI promote the effective flow of goods, services, and information vital to the economic vitality of an urban environment. To re-establish the connectivity that has been broken during a disaster between the different SCICI, relationships between these systems must be identified, formulated, and added to a common framework to form a system-level restoration plan. To accomplish this goal, a considerable collection of SCICI data is necessary. The aim of this paper is to review what data are required for model construction, the accessibility of these data, and their integration with each other. While a review of publicly available data reveals a dearth of real-time data to assist modeling long-term recovery following an extreme event, a significant amount of static data does exist and these data can be used to model the complex interdependencies needed. For the sake of illustration, a particular SCICI (transportation) is used to highlight the challenges of determining the interdependencies and creating models capable of describing the complexity of an urban environment with the data publicly available. Integration of such data as is derived from public domain sources is readily achieved in a geospatial environment, after all geospatial infrastructure data are the most abundant data source and while significant quantities of data can be acquired through public sources, a significant effort is still required to gather, develop, and integrate these data from multiple sources to build a complete model. Therefore, while continued availability of high quality, public information is essential for modeling efforts in academic as well as government communities, a more streamlined approach to a real-time acquisition and integration of these data is essential.
","language":"English","publisher":"Ubiquity Press","doi":"10.5334/dsj-2016-001","usgsCitation":"Ramachandran, V., Long, S.K., Shoberg, T.G., Corns, S., and Carlo, H.J., 2016, Post-disaster supply chain interdependent critical infrastructure system restoration: A review of data necessary and available for modeling: Data Science Journal, v. 15, no. 1, 13 p., https://doi.org/10.5334/dsj-2016-001.","productDescription":"13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061444","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":471340,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5334/dsj-2016-001","text":"Publisher Index Page"},{"id":314007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568f8c3be4b0e7a44bc5ec8e","contributors":{"authors":[{"text":"Ramachandran, Varun","contributorId":146269,"corporation":false,"usgs":false,"family":"Ramachandran","given":"Varun","email":"","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":587965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Suzanna K.","contributorId":146270,"corporation":false,"usgs":false,"family":"Long","given":"Suzanna","email":"","middleInitial":"K.","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":587966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoberg, Thomas G. 0000-0003-0173-1246 tshoberg@usgs.gov","orcid":"https://orcid.org/0000-0003-0173-1246","contributorId":3764,"corporation":false,"usgs":true,"family":"Shoberg","given":"Thomas","email":"tshoberg@usgs.gov","middleInitial":"G.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":587964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corns, Steven","contributorId":146271,"corporation":false,"usgs":false,"family":"Corns","given":"Steven","affiliations":[{"id":16655,"text":"Dept. of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO","active":true,"usgs":false}],"preferred":false,"id":587967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlo, Hector J.","contributorId":95805,"corporation":false,"usgs":true,"family":"Carlo","given":"Hector","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":587968,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169022,"text":"70169022 - 2016 - Assessing models of speciation under different biogeographic scenarios; An empirical study using multi-locus and RNA-seq analyses","interactions":[],"lastModifiedDate":"2020-12-17T20:29:25.108131","indexId":"70169022","displayToPublicDate":"2016-01-07T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Assessing models of speciation under different biogeographic scenarios; An empirical study using multi-locus and RNA-seq analyses","docAbstract":"Evolutionary biology often seeks to decipher the drivers of speciation, and much debate persists over the relative importance of isolation and gene flow in the formation of new species. Genetic studies of closely related species can assess if gene flow was present during speciation, because signatures of past introgression often persist in the genome. We test hypotheses on which mechanisms of speciation drove diversity among three distinct lineages of desert tortoise in the genus Gopherus. These lineages offer a powerful system to study speciation, because different biogeographic patterns (physical vs. ecological segregation) are observed at opposing ends of their distributions. We use 82 samples collected from 38 sites, representing the entire species' distribution and generate sequence data for mtDNA and four nuclear loci. A multilocus phylogenetic analysis in *BEAST estimates the species tree. RNA‐seq data yield 20,126 synonymous variants from 7665 contigs from two individuals of each of the three lineages. Analyses of these data using the demographic inference package ∂a∂i serve to test the null hypothesis of no gene flow during divergence. The best‐fit demographic model for the three taxa is concordant with the *BEAST species tree, and the ∂a∂i analysis does not indicate gene flow among any of the three lineages during their divergence. These analyses suggest that divergence among the lineages occurred in the absence of gene flow and in this scenario the genetic signature of ecological isolation (parapatric model) cannot be differentiated from geographic isolation (allopatric model).
","language":"English","publisher":"Wiley","publisherLocation":"Oxford","doi":"10.1002/ece3.1865","usgsCitation":"Edwards, T., Tollis, M., Hsieh, P., Gutenkunst, R.N., Liu, Z., Kusumi, K., Culver, M., and Murphy, R.W., 2016, Assessing models of speciation under different biogeographic scenarios; An empirical study using multi-locus and RNA-seq analyses: Ecology and Evolution, v. 6, no. 2, p. 379-396, https://doi.org/10.1002/ece3.1865.","productDescription":"18 p.","startPage":"379","endPage":"396","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070008","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471341,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1865","text":"Publisher Index Page"},{"id":318812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United 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Kenro","contributorId":167536,"corporation":false,"usgs":false,"family":"Kusumi","given":"Kenro","email":"","affiliations":[],"preferred":false,"id":622605,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":622559,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murphy, Robert W.","contributorId":147498,"corporation":false,"usgs":false,"family":"Murphy","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":622606,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70161857,"text":"70161857 - 2016 - The effect of particle size distribution on the design of urban stormwater control measures","interactions":[],"lastModifiedDate":"2016-01-07T09:20:13","indexId":"70161857","displayToPublicDate":"2016-01-07T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"The effect of particle size distribution on the design of urban stormwater control measures","docAbstract":"An urban pollutant loading model was used to demonstrate how incorrect assumptions on the particle size distribution (PSD) in urban runoff can alter the design characteristics of stormwater control measures (SCMs) used to remove solids in stormwater. Field-measured PSD, although highly variable, is generally coarser than the widely-accepted PSD characterized by the Nationwide Urban Runoff Program (NURP). PSDs can be predicted based on environmental surrogate data. There were no appreciable differences in predicted PSD when grouped by season. Model simulations of a wet detention pond and catch basin showed a much smaller surface area is needed to achieve the same level of solids removal using the median value of field-measured PSD as compared to NURP PSD. Therefore, SCMs that used the NURP PSD in the design process could be unnecessarily oversized. The median of measured PSDs, although more site-specific than NURP PSDs, could still misrepresent the efficiency of an SCM because it may not adequately capture the variability of individual runoff events. Future pollutant loading models may account for this variability through regression with environmental surrogates, but until then, without proper site characterization, the adoption of a single PSD to represent all runoff conditions may result in SCMs that are under- or over-sized, rendering them ineffective or unnecessarily costly.
","language":"English","publisher":"MDPI","doi":"10.3390/w8010017","collaboration":"Wisconsin Department of Natural Resources","usgsCitation":"Selbig, W.R., Fienen, M., Horwatich, J.A., and Bannerman, R.T., 2016, The effect of particle size distribution on the design of urban stormwater control measures: Water, v. 8, no. 1, w8010017: 17 p., https://doi.org/10.3390/w8010017.","productDescription":"w8010017: 17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069813","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":471342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w8010017","text":"Publisher Index Page"},{"id":314000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-06","publicationStatus":"PW","scienceBaseUri":"568f8c3ce4b0e7a44bc5ec97","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":587953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horwatich, Judy A. 0000-0003-0582-0836 jahorwat@usgs.gov","orcid":"https://orcid.org/0000-0003-0582-0836","contributorId":1388,"corporation":false,"usgs":true,"family":"Horwatich","given":"Judy","email":"jahorwat@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587955,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159572,"text":"ofr20151210 - 2016 - Evaluation of the 8310-N-S manufactured by Sutron–Results of bench, temperature, and field deployment testing","interactions":[],"lastModifiedDate":"2016-01-07T09:37:27","indexId":"ofr20151210","displayToPublicDate":"2016-01-07T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1210","title":"Evaluation of the 8310-N-S manufactured by Sutron–Results of bench, temperature, and field deployment testing","docAbstract":"The Sutron 8310-N-S (8310) data collection platform (DCP) manufactured by Sutron Corporation was evaluated by the U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility (HIF) for conformance to the manufacturer’s specifications for recording and transmitting data. The 8310-N-S is a National Electrical Manufacturers Association (NEMA)-enclosed DCP with a built-in Geostationary Operational Environmental Satellite transmitter that operates over a temperature range of −40 to 60 degrees Celsius (°C). The evaluation procedures followed and the results obtained are described in this report for bench, temperature chamber, and outdoor deployment testing. The three units tested met the manufacturer’s stated specifications for the tested conditions, but two of the units had transmission errors either during temperature chamber or deployment testing. During outdoor deployment testing, 6.72 percent of transmissions by serial number 1206109 contained errors, resulting in missing data. Transmission errors were also observed during temperature chamber testing with serial number 1208283, at an error rate of 3.22 percent. Overall, the 8310 has good logging capabilities, but the transmission errors are a concern for users who require reliable telemetered data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151210","usgsCitation":"Kunkle, G.A., 2016, Evaluation of the 8310 manufactured by Sutron—Results of bench, temperature, and field deployment testing: U.S. Geological Survey Open-File Report 2015–1210, 6 p., https://dx.doi.org/10.3133/ofr20151210.","productDescription":"iii, 6 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064816","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":313953,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1210/coverthb.jpg"},{"id":313954,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1210/ofr20151210.pdf","text":"Report","size":"410 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1210"}],"country":"United States","state":"Mississippi","otherGeospatial":"Stennis Space Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.66423034667969,\n 30.312431154103745\n ],\n [\n -89.66423034667969,\n 30.365173612441442\n ],\n [\n -89.58045959472656,\n 30.365173612441442\n ],\n [\n -89.58045959472656,\n 30.312431154103745\n ],\n [\n -89.66423034667969,\n 30.312431154103745\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Chief, Hydrologic Instrumentation Facility
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http://water.usgs.gov/hif/
Nutrient biolifting is an important pedogenic process in which plant roots obtain inorganic nutrients such as phosphorus (P) and calcium (Ca) from minerals at depth and concentrate those nutrients at the surface. Here we use soil chemistry and stable isotopes of the alkaline earth elements Ca, strontium (Sr) and barium (Ba) to test the hypothesis that biolifting of P has been an important pedogenic process across a soil climosequence developed on volcanic deposits at Kohala Mountain, Hawaii. The geochemical linkage between these elements is revealed as generally positive site-specific relationships in soil mass gains and losses, particularly for P, Ba and Ca, using the ratio of immobile elements titanium and niobium (Ti/Nb) to link individual soil samples to a restricted compositional range of the chemically and isotopically diverse volcanic parent materials. At sites where P is enriched in surface soils relative to abundances in deeper soils, the isotope compositions of exchangeable Ca, Sr and Ba in the shallowest soil horizons (< 10 cm depth) are lighter than those of the volcanic parent materials and trend toward those of plants growing on fresh volcanic deposits. In contrast the isotope composition of exchangeable Ba in deeper soil horizons (> 10 cm depth) at those sites is consistently heavier than the volcanic parent materials. The isotope compositions of exchangeable Ca and Sr trend toward heavier compositions with depth more gradually, reflecting increasing leakiness from these soils in the order Ba < Sr < Ca and downward transfer of light biocycled Ca and Sr to deeper exchange sites. Given the long-term stability of ecosystem properties at the sites where P is enriched in surface soils, a simple box model demonstrates that persistence of isotopically light exchangeable Ca, Sr and Ba in the shallowest soil horizons requires that the uptake flux to plants from those near-surface layers is less than the recycling flux returned to the surface as litterfall. This observation implicates an uptake flux from an additional source which we attribute to biolifting. We view the heavy exchangeable Ba relative to soil parent values in deeper soils at sites where P is enriched in surface soils, and indeed at all but the wettest site across the climosequence, to represent the complement of an isotopically light Ba fraction removed from these soils by plant roots consistent with the biolifting hypothesis. We further suggest that decreasing heaviness of depth-integrated exchangeable Ba in deeper soils with increasing median annual precipitation across the climosequence reflects greater reliance on shallow nutrient sources as site water balance increases. While the Ca, Sr and Ba isotopes considered together were useful in confirming an important role for nutrient biolifting across the climosequence, the Ba isotopes provided the most robust tracer of biolifting and have the greatest potential to find application as an isotopic proxy for P dynamics in soils.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2015.12.008","usgsCitation":"Bullen, T.D., and Chadwick, O.A., 2016, Ca, Sr and Ba stable isotopes reveal the fate of soil nutrients along a tropical climosequence: Chemical Geology, v. 422, p. 25-45, https://doi.org/10.1016/j.chemgeo.2015.12.008.","productDescription":"21 p.","startPage":"25","endPage":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071551","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2015.12.008","text":"Publisher Index Page"},{"id":313999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kohala Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.71197509765625,\n 20.029483785566846\n ],\n [\n -155.71197509765625,\n 20.114615840542655\n ],\n [\n -155.5938720703125,\n 20.114615840542655\n ],\n [\n -155.5938720703125,\n 20.029483785566846\n ],\n [\n -155.71197509765625,\n 20.029483785566846\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"422","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568f8c30e4b0e7a44bc5ec80","chorus":{"doi":"10.1016/j.chemgeo.2015.12.008","url":"http://dx.doi.org/10.1016/j.chemgeo.2015.12.008","publisher":"Elsevier BV","authors":"Bullen Thomas, Chadwick Oliver","journalName":"Chemical Geology","publicationDate":"3/2016"},"contributors":{"authors":[{"text":"Bullen, Thomas D. 0000-0003-2281-1691 tdbullen@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-1691","contributorId":1969,"corporation":false,"usgs":true,"family":"Bullen","given":"Thomas","email":"tdbullen@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":587844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chadwick, Oliver A.","contributorId":88244,"corporation":false,"usgs":false,"family":"Chadwick","given":"Oliver","email":"","middleInitial":"A.","affiliations":[{"id":6710,"text":"University of California, Santa Barbara, CA","active":true,"usgs":false}],"preferred":false,"id":587845,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173771,"text":"70173771 - 2016 - The relative influence of road characteristics and habitat on adjacent lizard populations in arid shrublands","interactions":[],"lastModifiedDate":"2016-06-22T14:30:41","indexId":"70173771","displayToPublicDate":"2016-01-07T06:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"The relative influence of road characteristics and habitat on adjacent lizard populations in arid shrublands","docAbstract":"As road networks continue to expand globally, indirect impacts to adjacent wildlife populations remain largely unknown. Simultaneously, reptile populations are declining worldwide and anthropogenic habitat loss and fragmentation are frequently cited causes. We evaluated the relative influence of three different road characteristics (surface treatment, width, and traffic volume) and habitat features on adjacent populations of Northern Sagebrush Lizards (Sceloporus graciosus graciosus), Plateau Fence Lizards (S. tristichus), and Greater Short-Horned Lizards (Phrynosoma hernandesi) in mixed arid shrubland habitats in southwest Wyoming. Neither odds of lizard presence nor relative abundance was significantly related to any of the assessed road characteristics, although there was a trend for higher Sceloporus spp. abundance adjacent to paved roads. Sceloporus spp. relative abundance did not vary systematically with distance to the nearest road. Rather, both Sceloporus spp. and Greater Short-Horned Lizards were associated strongly with particular habitat characteristics adjacent to roads. Sceloporus spp. presence and relative abundance increased with rock cover, relative abundance was associated positively with shrub cover, and presence was associated negatively with grass cover. Greater Short-Horned Lizard presence increased with bare ground and decreased marginally with shrub cover. Our results suggest that habitat attributes are stronger correlates of lizard presence and relative abundance than individual characteristics of adjacent roads, at least in our system. Therefore, an effective conservation approach for these species may be to consider the landscape through which new roads and their associated development would occur, and the impact that placement could have on fragment size and key habitat elements.
","language":"English","publisher":"The Society for the Study of Amphibians and Reptiles","doi":"10.1670/13-182","usgsCitation":"Hubbard, K.A., Chalfoun, A.D., and Gerow, K.G., 2016, The relative influence of road characteristics and habitat on adjacent lizard populations in arid shrublands: Journal of Herpetology, v. 50, no. 1, p. 29-36, https://doi.org/10.1670/13-182.","productDescription":"8 p.","startPage":"29","endPage":"36","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033694","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Lincoln County, Sweetwater County, Uinta County","otherGeospatial":"Flaming Gorge National Recreation Area, Green River Basin, Moxa Arch Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.5059814453125,\n 41.00477542222947\n ],\n [\n -110.5059814453125,\n 42.273244264402734\n ],\n [\n -109.0338134765625,\n 42.273244264402734\n ],\n [\n -109.0338134765625,\n 41.00477542222947\n ],\n [\n -110.5059814453125,\n 41.00477542222947\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576bb6bee4b07657d1a2296a","contributors":{"authors":[{"text":"Hubbard, Kaylan A.","contributorId":11465,"corporation":false,"usgs":true,"family":"Hubbard","given":"Kaylan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":640392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. achalfoun@usgs.gov","contributorId":3735,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":638148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerow, Kenneth G.","contributorId":49672,"corporation":false,"usgs":true,"family":"Gerow","given":"Kenneth","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":640393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70162616,"text":"70162616 - 2016 - The impacts of human recreation on brown bears (Ursus arctos): A review and new management tool","interactions":[],"lastModifiedDate":"2018-05-21T09:56:40","indexId":"70162616","displayToPublicDate":"2016-01-06T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The impacts of human recreation on brown bears (Ursus arctos): A review and new management tool","title":"The impacts of human recreation on brown bears (Ursus arctos): A review and new management tool","docAbstract":"Increased popularity of recreational activities in natural areas has led to the need to better understand their impacts on wildlife. The majority of research conducted to date has focused on behavioral effects from individual recreations, thus there is a limited understanding of the potential for population-level or cumulative effects. Brown bears (Ursus arctos) are the focus of a growing wildlife viewing industry and are found in habitats frequented by recreationists. Managers face difficult decisions in balancing recreational opportunities with habitat protection for wildlife. Here, we integrate results from empirical studies with expert knowledge to better understand the potential population-level effects of recreational activities on brown bears. We conducted a literature review and Delphi survey of brown bear experts to better understand the frequencies and types of recreations occurring in bear habitats and their potential effects, and to identify management solutions and research needs. We then developed a Bayesian network model that allows managers to estimate the potential effects of recreational management decisions in bear habitats. A higher proportion of individual brown bears in coastal habitats were exposed to recreation, including photography and bear-viewing than bears in interior habitats where camping and hiking were more common. Our results suggest that the primary mechanism by which recreation may impact brown bears is through temporal and spatial displacement with associated increases in energetic costs and declines in nutritional intake. Killings in defense of life and property were found to be minimally associated with recreation in Alaska, but are important considerations in population management. Regulating recreation to occur predictably in space and time and limiting recreation in habitats with concentrated food resources reduces impacts on food intake and may thereby, reduce impacts on reproduction and survival. Our results suggest that decisions managers make about regulating recreational activities in time and space have important consequences for bear populations. The Bayesian network model developed here provides a new tool for managers to balance demands of multiple recreational activities while supporting healthy bear populations.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0141983","usgsCitation":"Fortin-noreus, J., Rode, K.D., Hilderbrand, G., Wilder, J., Farley, S., Jorgensen, C., and Marcot, B.G., 2016, The impacts of human recreation on brown bears (Ursus arctos): A review and new management tool: PLoS ONE, v. 11, no. 1, p. 1-26, https://doi.org/10.1371/journal.pone.0141983.","productDescription":"e0141983; 26 p.","startPage":"1","endPage":"26","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064745","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":471344,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0141983","text":"Publisher Index Page"},{"id":438645,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71V5C1F","text":"USGS data release","linkHelpText":"Recreation Survey Results in Brown Bear Habitats, 2013"},{"id":314925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-05","publicationStatus":"PW","scienceBaseUri":"56a9f84fe4b012c193aa3eea","contributors":{"authors":[{"text":"Fortin-noreus, Jennifer jfortin-noreus@usgs.gov","contributorId":152608,"corporation":false,"usgs":true,"family":"Fortin-noreus","given":"Jennifer","email":"jfortin-noreus@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":589907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":589906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilderbrand, Grant V. 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":199764,"corporation":false,"usgs":true,"family":"Hilderbrand","given":"Grant V.","email":"ghilderbrand@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":589908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilder, James","contributorId":152610,"corporation":false,"usgs":false,"family":"Wilder","given":"James","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":589909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farley, Sean","contributorId":83415,"corporation":false,"usgs":true,"family":"Farley","given":"Sean","affiliations":[],"preferred":false,"id":589910,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jorgensen, Carole","contributorId":152611,"corporation":false,"usgs":false,"family":"Jorgensen","given":"Carole","email":"","affiliations":[{"id":18943,"text":"Chugach National Forest","active":true,"usgs":false}],"preferred":false,"id":589911,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marcot, Bruce G.","contributorId":152612,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":589912,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173992,"text":"70173992 - 2016 - Diet of diamondback terrapins (Malaclemys terrapin) in subtropical mangrove habitats in South Florida","interactions":[],"lastModifiedDate":"2016-06-21T14:15:40","indexId":"70173992","displayToPublicDate":"2016-01-06T05:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"title":"Diet of diamondback terrapins (Malaclemys terrapin) in subtropical mangrove habitats in South Florida","docAbstract":"Unique among turtles as the only exclusively estuarine species, the diamondback terrapin’s (Malaclemys terrapin) life history predisposes it to impacts from humans both on land and in the near-shore environment. Terrapins are found in salt marshes and mangroves along the Atlantic and Gulf coasts from Massachusetts to Texas. Whereas previous dietary studies have elucidated terrapins’ role in temperate salt marsh food webs, food resources for terrapins inhabiting subtropical mangrove habitats have not been studied. We examined dietary resource use for diamondback terrapins in subtropical mangrove creek and island habitats within Everglades National Park, Florida, to determine foraging strategies of terrapins inhabiting south Florida (SF) mangrove systems. Fecal analysis revealed 6 categories of food items, with gastropods, crabs, and bivalves being the dominant food items. Multivariate analysis revealed differences in food sources based on habitat more so than by terrapin size class. Our results revealed that like their counterparts in temperate salt marshes, SF terrapins consume similar prey categories but with different species and abundances comprising each category.
","language":"English","publisher":"BioOne: Chelonian Research Foundation","publisherLocation":"Washington, D.C.","doi":"10.2744/CCB-1187.1","collaboration":"Kristen M. Hart; Amanda Demopoulos; Anton Oleinik; John D. Baldwin","usgsCitation":"Denton, M.J., Hart, K.M., Demopoulos, A.W., Oleinik, A., and Baldwin, J.N., 2016, Diet of diamondback terrapins (Malaclemys terrapin) in subtropical mangrove habitats in South Florida: Chelonian Conservation and Biology, v. 15, no. 1, p. 54-61, https://doi.org/10.2744/CCB-1187.1.","productDescription":"8 p.","startPage":"54","endPage":"61","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067556","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":495031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2744/ccb-1187.1","text":"Publisher Index Page"},{"id":324144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324143,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.2744/CCB-1187.1"}],"country":"United States","state":"Florida","otherGeospatial":"Southern region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.2708740234375,\n 24.427145340082046\n ],\n [\n -83.2708740234375,\n 28.695406284421967\n ],\n [\n -79.46411132812499,\n 28.695406284421967\n ],\n [\n -79.46411132812499,\n 24.427145340082046\n ],\n [\n -83.2708740234375,\n 24.427145340082046\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a6534e4b07657d1a11d66","contributors":{"authors":[{"text":"Denton, Mathew J. 0000-0002-1024-3722 mdenton@usgs.gov","orcid":"https://orcid.org/0000-0002-1024-3722","contributorId":4862,"corporation":false,"usgs":true,"family":"Denton","given":"Mathew","email":"mdenton@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":640101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":640102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":640103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oleinik, Anton","contributorId":172258,"corporation":false,"usgs":false,"family":"Oleinik","given":"Anton","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":640104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldwin, John N.","contributorId":58551,"corporation":false,"usgs":true,"family":"Baldwin","given":"John","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":640105,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173865,"text":"70173865 - 2016 - Twenty-six years of post-release monitoring of Florida manatees (Trichechus manatus latirostris): evaluation of a cooperative rehabilitation program","interactions":[],"lastModifiedDate":"2016-08-02T11:46:53","indexId":"70173865","displayToPublicDate":"2016-01-06T02:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":869,"text":"Aquatic Mammals","active":true,"publicationSubtype":{"id":10}},"title":"Twenty-six years of post-release monitoring of Florida manatees (Trichechus manatus latirostris): evaluation of a cooperative rehabilitation program","docAbstract":"The rescue, rehabilitation, and release of Florida manatees (Trichechus manatus latirostris) into the wild has occurred since 1974; however, a comprehensive evaluation of the outcomes of the releases has never been conducted. Herein, we examined data for 136 Florida manatees that were rehabilitated and released with telemetry tags between 1988 and 2013 to determine release outcome of each individual as either success (acclimation) or failure after at least 1 y. Ten predictor variables were statistically evaluated for potential relationships to release outcome. To assess the contribution of each predictor variable to release outcome, each variable was tested for significance in univariate analyses. Manatees born in captivity experienced poor success after release (14%), whereas the overall success of wild-born individuals was higher (72%). When compared with other variables in our dataset, number of days in captivity was the strongest predictor for determining success. Manatees rescued as calves and held in captivity for more than 5 y had a high likelihood of failure, while subadults and adults had a high likelihood of success, regardless of the amount of time spent in captivity. Ensuring the success of individual manatees after release is critical for evaluating the contribution of the manatee rehabilitation program to the growth of the wild population.
","language":"English","publisher":"MinuteMan Press","publisherLocation":"Norwich, CT","doi":"10.1578/AM.42.3.2016.376","usgsCitation":"Adimey, N.M., Ross, M., Hall, M., Reid, J.P., Barlas, M., Keith Diagne, L.W., and Bonde, R.K., 2016, Twenty-six years of post-release monitoring of Florida manatees (Trichechus manatus latirostris): evaluation of a cooperative rehabilitation program: Aquatic Mammals, v. 42, no. 3, p. 376-391, https://doi.org/10.1578/AM.42.3.2016.376.","productDescription":"16 p.","startPage":"376","endPage":"391","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070186","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":501651,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://stars.library.ucf.edu/scopus2015/3179","text":"External 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States","interactions":[],"lastModifiedDate":"2018-10-29T08:52:02","indexId":"70168662","displayToPublicDate":"2016-01-06T00:00:00","publicationYear":"2016","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":"Copper speciation in variably toxic sediments at the Ely Copper Mine, Vermont, United States","docAbstract":"At the Ely Copper Mine Superfund site, Cu concentrations exceed background values in both streamwater (160–1200 times) and sediments (15–79 times). Previously, these sediment samples were incubated with laboratory test organisms, and they exhibited variable toxicity for different stream sites. In this study we combined bulk- and microscale techniques to determine Cu speciation and distribution in these contaminated sediments on the basis of evidence from previous work that Cu was the most important stressor in this environment and that variable observed toxicity could have resulted from differences in Cu speciation. Copper speciation results were similar at microscopic and bulk scales. The major Cu species in the more toxic samples were sorbed or coprecipitated with secondary Mn (birnessite) and Fe minerals (jarosite and goethite), which together accounted for nearly 80% of the total Cu. The major Cu species in the less toxic samples were Cu sulfides (chalcopyrite and a covellite-like phase), making up about 80–95% of the total Cu, with minor amounts of Cu associated with jarosite or goethite. These Cu speciation results are consistent with the toxicity results, considering that Cu sorbed or coprecipitated with secondary phases at near-neutral pH is relatively less stable than Cu bound to sulfide at lower pH. The more toxic stream sediment sites were those that contained fewer detrital sulfides and were upstream of the major mine waste pile, suggesting that removal and consolidation of sulfide-bearing waste piles on site may not eliminate all sources of bioaccessible Cu.
","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/acs.est.5b04081","usgsCitation":"Kimball, B.E., Foster, A.L., Seal, R., Piatak, N., Webb, S.M., and Hammarstrom, J.M., 2016, Copper speciation in variably toxic sediments at the Ely Copper Mine, Vermont, United States: Environmental Science & Technology, v. 50, no. 3, https://doi.org/10.1021/acs.est.5b04081.","productDescription":"11 p.","startPage":"1136","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070005","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":318310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Ely Copper Mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.3,\n 44\n ],\n [\n -72.3,\n 43.9\n ],\n [\n -72.1,\n 43.9\n ],\n [\n -72.1,\n 44\n ],\n [\n -72.3,\n 44\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"50","issue":"3","edition":"1126","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-15","publicationStatus":"PW","scienceBaseUri":"56cc3f4ae4b059daa47e43a6","chorus":{"doi":"10.1021/acs.est.5b04081","url":"http://dx.doi.org/10.1021/acs.est.5b04081","publisher":"American Chemical Society (ACS)","authors":"Kimball Bryn E., Foster Andrea L., Seal Robert R., Piatak Nadine M., Webb Samuel M., Hammarstrom Jane M.","journalName":"Environmental Science & Technology","publicationDate":"2/2/2016"},"contributors":{"authors":[{"text":"Kimball, Bryn E. bekimball@usgs.gov","contributorId":4184,"corporation":false,"usgs":true,"family":"Kimball","given":"Bryn","email":"bekimball@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":621189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, Andrea L. 0000-0003-1362-0068 afoster@usgs.gov","orcid":"https://orcid.org/0000-0003-1362-0068","contributorId":1740,"corporation":false,"usgs":true,"family":"Foster","given":"Andrea","email":"afoster@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":621188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seal, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":149066,"corporation":false,"usgs":true,"family":"Seal","given":"Robert R. ","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":621190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":167138,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine M.","email":"npiatak@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":621191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Samuel M.","contributorId":62088,"corporation":false,"usgs":true,"family":"Webb","given":"Samuel","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":621192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":621193,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178613,"text":"70178613 - 2016 - Metaultramafic schists and dismembered ophiolites of the Ashe Metamorphic Suite of northwestern North Carolina, USA","interactions":[],"lastModifiedDate":"2016-11-30T16:01:35","indexId":"70178613","displayToPublicDate":"2016-01-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2020,"text":"International Geology Review","active":true,"publicationSubtype":{"id":10}},"title":"Metaultramafic schists and dismembered ophiolites of the Ashe Metamorphic Suite of northwestern North Carolina, USA","docAbstract":"Metaultramafic rocks (MUR) in the Ashe Metamorphic Suite (AMS) of northwestern North Carolina include quartz ± feldspar-bearing QF-amphibolites and quartz-deficient, locally talc-, chlorite-, and/or Mg-amphibole-bearing TC-amphibolites. Some workers divide TC-amphibolites into Todd and Edmonds types, based on mineral and geochemical differences, and we provisionally add a third type – olivine ± pyroxene-rich, Rich Mountain-type rocks. Regionally, MUR bodies range from equant, Rich Mountain- to highly elongate, Todd-TC-amphibolite-type bodies. The MURs exhibit three to five mineral associations containing assemblages with olivine, anthophyllitic amphibole, Mg-hornblende, Mg-actinolite, cummingtonite, and serpentine representing decreasing eclogite to greenschist facies grades of metamorphism over time. MUR protoliths are difficult to determine. Southwestern MUR bodies have remnant olivine ± pyroxene-rich assemblages representing ultrabasic-basic, dunite-peridotite-pyroxenite protoliths. Northeastern TC-amphibolite MURs contain hornblende and actinolitic amphiboles plus chlorites – aluminous and calcic assemblages suggesting to some that metasomatism of basic, QF-amphibolites yields all TC-amphibolites. Yet MgO-CaO-Al2O3 and trace element chemistries of many TC-amphibolites resemble compositions of plagioclase peridotites. We show that a few AMS TC-amphibolites had basaltic/gabbroic protoliths, while presenting arguments opposing application of the metasomatic hypothesis to all TC-amphibolites. We establish that MUR bodies are petrologically heterolithic and that TC-amphibolites are in contact with many rock types; that those with high Cr, Ni, and Mg have olivine- or pyroxene-dominated protoliths; that most exhibit three or more metamorphic mineral associations; and that contacts thought to be metasomatic are structural. Clearly, different MUR bodies have different chemistries representing various protoliths, and have different mineral assemblages, reflecting both chemical composition and metamorphic history. Spot sampling of heterolithic MUR bodies does not reveal MUR body character or history or allow ‘type’ designations. We recommend that the subdivision of MUR bodies into ‘types’ be abandoned and that the metasomatic hypothesis be carefully applied. AMS MURs and associated metamafic rocks likely represent fragments of dismembered ophiolites from various ophiolite types.
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Kelly","contributorId":177084,"corporation":false,"usgs":false,"family":"Vance","given":"R.","email":"","middleInitial":"Kelly","affiliations":[],"preferred":false,"id":654548,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70163005,"text":"70163005 - 2016 - A fractured rock geophysical toolbox method selection tool","interactions":[],"lastModifiedDate":"2018-08-07T12:17:35","indexId":"70163005","displayToPublicDate":"2016-01-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"A fractured rock geophysical toolbox method selection tool","docAbstract":"Geophysical technologies have the potential to improve site characterization and monitoring in fractured rock, but the appropriate and effective application of geophysics at a particular site strongly depends on project goals (e.g., identifying discrete fractures) and site characteristics (e.g., lithology). No method works at every site or for every goal. New approaches are needed to identify a set of geophysical methods appropriate to specific project goals and site conditions while considering budget constraints. To this end, we present the Excel-based Fractured-Rock Geophysical Toolbox Method Selection Tool (FRGT-MST). We envision the FRGT-MST (1) equipping remediation professionals with a tool to understand what is likely to be realistic and cost-effective when contracting geophysical services, and (2) reducing applications of geophysics with unrealistic objectives or where methods are likely to fail.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12397","usgsCitation":"Day-Lewis, F., Johnson, C., Slater, L., Robinson, J., Williams, J., Boyden, C., Werkema, D., and Lane, J.W., 2016, A fractured rock geophysical toolbox method selection tool: Groundwater, v. 54, no. 3, p. 315-316, https://doi.org/10.1111/gwat.12397.","productDescription":"2 p.","startPage":"315","endPage":"316","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":438646,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71J97TH","text":"USGS data release","linkHelpText":"Fractured Rock Geophysical Toolbox Method Selection Tool (FRGT-MST)"},{"id":315282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-01-06","publicationStatus":"PW","scienceBaseUri":"56ac9b41e4b0403299f53996","chorus":{"doi":"10.1111/gwat.12397","url":"http://dx.doi.org/10.1111/gwat.12397","publisher":"Wiley-Blackwell","authors":"Day-Lewis F.D., Johnson C.D., Slater L.D., Robinson J.L., Williams J.H., Boyden C.L., Werkema D., Lane J.W.","journalName":"Groundwater","publicationDate":"1/6/2016"},"contributors":{"authors":[{"text":"Day-Lewis, F. D. 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":35773,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"F. D.","affiliations":[],"preferred":false,"id":591335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, C. D.","contributorId":8120,"corporation":false,"usgs":true,"family":"Johnson","given":"C. D.","affiliations":[],"preferred":false,"id":591336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slater, L.D.","contributorId":63229,"corporation":false,"usgs":true,"family":"Slater","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":591337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, J.L.","contributorId":13283,"corporation":false,"usgs":true,"family":"Robinson","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":591338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, J.H.","contributorId":29482,"corporation":false,"usgs":true,"family":"Williams","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":591339,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boyden, C.L.","contributorId":153193,"corporation":false,"usgs":false,"family":"Boyden","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":591340,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Werkema, D.D.","contributorId":60021,"corporation":false,"usgs":true,"family":"Werkema","given":"D.D.","affiliations":[],"preferred":false,"id":591341,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lane, J. W.","contributorId":31431,"corporation":false,"usgs":true,"family":"Lane","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":591342,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70164521,"text":"70164521 - 2016 - Seismic velocity structure of the crust and shallow mantle of the Central and Eastern United States by seismic surface wave imaging","interactions":[],"lastModifiedDate":"2016-02-09T12:47:03","indexId":"70164521","displayToPublicDate":"2016-01-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Seismic velocity structure of the crust and shallow mantle of the Central and Eastern United States by seismic surface wave imaging","docAbstract":"Seismic surface waves from the Transportable Array of EarthScope's USArray are used to estimate phase velocity structure of 18 to 125 s Rayleigh waves, then inverted to obtain three-dimensional crust and upper mantle structure of the Central and Eastern United States (CEUS) down to ∼200 km. The obtained lithosphere structure confirms previously imaged CEUS features, e.g., the low seismic-velocity signature of the Cambrian Reelfoot Rift and the very low velocity at >150 km depth below an Eocene volcanic center in northwestern Virginia. New features include high-velocity mantle stretching from the Archean Superior Craton well into the Proterozoic terranes and deep low-velocity zones in central Texas (associated with the late Cretaceous Travis and Uvalde volcanic fields) and beneath the South Georgia Rift (which contains Jurassic basalts). Hot spot tracks may be associated with several imaged low-velocity zones, particularly those close to the former rifted Laurentia margin.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL066637","usgsCitation":"Pollitz, F., and Mooney, W.D., 2016, Seismic velocity structure of the crust and shallow mantle of the Central and Eastern United States by seismic surface wave imaging: Geophysical Research Letters, v. 43, no. 1, p. 118-126, https://doi.org/10.1002/2015GL066637.","productDescription":"9 p.","startPage":"118","endPage":"126","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069911","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":503108,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/a007e705aed84941a69f4dc1fbb4fff8","text":"External Repository"},{"id":316739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105,\n 25\n ],\n [\n -105,\n 49\n ],\n [\n -67,\n 49\n ],\n [\n -67,\n 25\n ],\n [\n -105,\n 25\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-06","publicationStatus":"PW","scienceBaseUri":"56bb1bd1e4b08d617f654e6b","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":597733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":597734,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173527,"text":"70173527 - 2016 - Urbanization and stream ecology: Diverse mechanisms of change","interactions":[],"lastModifiedDate":"2016-06-20T14:23:42","indexId":"70173527","displayToPublicDate":"2016-01-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Urbanization and stream ecology: Diverse mechanisms of change","docAbstract":"The field of urban stream ecology has evolved rapidly in the last 3 decades, and it now includes natural scientists from numerous disciplines working with social scientists, landscape planners and designers, and land and water managers to address complex, socioecological problems that have manifested in urban landscapes. Over the last decade, stream ecologists have met 3 times at the Symposium on Urbanization and Stream Ecology (SUSE) to discuss current research, identify knowledge gaps, and promote future research collaborations. The papers in this special series on urbanization and stream ecology include both primary research studies and conceptual synthesis papers spurred from discussions at SUSE in May 2014. The themes of the meeting are reflected in the papers in this series emphasizing global differences in mechanisms and responses of stream ecosystems to urbanization and management solutions in diverse urban streams. Our hope is that this series will encourage continued interdisciplinary and collaborative research to increase the global understanding of urban stream ecology toward stream protection and restoration in urban landscapes.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/685097","usgsCitation":"Roy, A.H., Capps, K.A., El-Sabaawi, R.W., Jones, K.L., Parr, T.B., Ramirez, A., Smith, R.F., Walsh, C.J., and Wenger, S.J., 2016, Urbanization and stream ecology: Diverse mechanisms of change: Freshwater Science, v. 35, no. 1, p. 272-277, https://doi.org/10.1086/685097.","productDescription":"6 p.","startPage":"272","endPage":"277","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068530","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913efe4b07657d19ff2c2","contributors":{"authors":[{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Capps, Krista A.","contributorId":35456,"corporation":false,"usgs":true,"family":"Capps","given":"Krista","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"El-Sabaawi, Rana W.","contributorId":171680,"corporation":false,"usgs":false,"family":"El-Sabaawi","given":"Rana","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":638290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Krista L. 0000-0002-0301-4497 kljones@usgs.gov","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":4550,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","email":"kljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parr, Thomas B.","contributorId":68222,"corporation":false,"usgs":true,"family":"Parr","given":"Thomas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramirez, Alonso","contributorId":171681,"corporation":false,"usgs":false,"family":"Ramirez","given":"Alonso","email":"","affiliations":[],"preferred":false,"id":638293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Robert F.","contributorId":171682,"corporation":false,"usgs":false,"family":"Smith","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":638294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walsh, Christopher J.","contributorId":171683,"corporation":false,"usgs":false,"family":"Walsh","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638295,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wenger, Seth J.","contributorId":64786,"corporation":false,"usgs":true,"family":"Wenger","given":"Seth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638296,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70160900,"text":"70160900 - 2016 - The scaling of geographic ranges: implications for species distribution models","interactions":[],"lastModifiedDate":"2016-07-15T14:45:48","indexId":"70160900","displayToPublicDate":"2016-01-05T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The scaling of geographic ranges: implications for species distribution models","docAbstract":"The geographic ranges of many species are responding to ongoing environmental change. Processes operating at different levels of biological organization, with corresponding spatial extents and grains and temporal rates, interact with the evolving configuration of environmental conditions to determine range dynamics.
\nTo synthesize understanding of scales and scaling, including relevant biological levels of organization, focusing on the processes that mediate species-environment relationships and the models used to make inferences about species distributions.
\nWe review concepts related to the scaling of geographic ranges and implications for the most commonly used analytic methods, using simple simulations to illustrate important issues.
\nMany processes lead to species distributions being dependent on environmental conditions within sites and within a neighborhood. Studies with large extents and fine grains can cut across several levels of biological organization (individual, within-population, and metapopulation processes) complicating interpretation. Many geographic ranges are not in dynamic equilibrium, but common models used for inference assume equilibrium. Interspecific interactions shape species distributions at multiple scales, and arguments for ignoring species interactions also assume equilibrium.
\nThere is a need for timely science to inform policy and management decisions; however, we must also strive to provide predictions that best reflect our understanding of ecological systems. Species distributions evolve through time and reflect responses to environmental conditions that are mediated through individual and population processes. Species distribution models that reflect this understanding, and explicitly model dynamics, are likely to give more accurate predictions.
\nCritical water-resources issues ranging from flood response to water scarcity make access to integrated water information, services, tools, and models essential. Since 1995 when the first water data web pages went online, the U.S. Geological Survey has been at the forefront of water data distribution and integration. Today, real-time and historical streamflow observations are available via web pages and a variety of web service interfaces. The Survey has built partnerships with Federal and State agencies to integrate hydrologic data providing continuous observations of surface and groundwater, temporally discrete water quality data, groundwater well logs, aquatic biology data, water availability and use information, and tools to help characterize the landscape for modeling. In this paper, we summarize the status and design patterns implemented for selected data systems. We describe how these systems contribute to a U.S. Federal Open Water Data Initiative and present some gaps and lessons learned that apply to global hydroinformatics data infrastructure.
","language":"English","publisher":"IWA Publishing","doi":"10.2166/hydro.2015.067","usgsCitation":"Blodgett, D.L., Lucido, J., and Kreft, J., 2016, Progress on water data integration and distribution: a summary of select U.S. Geological Survey data systems: Journal of Hydroinformatics, v. 18, no. 2, p. 226-237, https://doi.org/10.2166/hydro.2015.067.","productDescription":"12 p.","startPage":"226","endPage":"237","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064680","costCenters":[],"links":[{"id":471345,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2166/hydro.2015.067","text":"Publisher Index Page"},{"id":313323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-31","publicationStatus":"PW","scienceBaseUri":"568ce931e4b0e7a44bc0f111","contributors":{"authors":[{"text":"Blodgett, David L. 0000-0001-9489-1710 dblodgett@usgs.gov","orcid":"https://orcid.org/0000-0001-9489-1710","contributorId":3868,"corporation":false,"usgs":true,"family":"Blodgett","given":"David","email":"dblodgett@usgs.gov","middleInitial":"L.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":584260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucido, Jessica M. jlucido@usgs.gov","contributorId":4695,"corporation":false,"usgs":true,"family":"Lucido","given":"Jessica M.","email":"jlucido@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":584261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreft, James M. jkreft@usgs.gov","contributorId":250,"corporation":false,"usgs":true,"family":"Kreft","given":"James M.","email":"jkreft@usgs.gov","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":false,"id":584262,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173968,"text":"70173968 - 2016 - Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA","interactions":[],"lastModifiedDate":"2016-06-21T07:51:33","indexId":"70173968","displayToPublicDate":"2016-01-05T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA","docAbstract":"Previous pedestrian evacuation modeling for tsunamis has not considered variable wave arrival times or critical junctures (e.g., bridges), nor does it effectively communicate multiple evacuee travel speeds. We summarize an approach that identifies evacuation corridors, recognizes variable wave arrival times, and produces a map of minimum pedestrian travel speeds to reach safety, termed a “beat-the-wave” (BTW) evacuation analysis. We demonstrate the improved approach by evaluating difficulty of pedestrian evacuation of Seaside, Oregon, for a local tsunami generated by a Cascadia subduction zone earthquake. We establish evacuation paths by calculating the least cost distance (LCD) to safety for every grid cell in a tsunami-hazard zone using geospatial, anisotropic path distance algorithms. Minimum BTW speed to safety on LCD paths is calculated for every grid cell by dividing surface distance from that cell to safety by the tsunami arrival time at safety. We evaluated three scenarios of evacuation difficulty: (1) all bridges are intact with a 5-minute evacuation delay from the start of earthquake, (2) only retrofitted bridges are considered intact with a 5-minute delay, and (3) only retrofitted bridges are considered intact with a 10-minute delay. BTW maps also take into account critical evacuation points along complex shorelines (e.g., peninsulas, bridges over shore-parallel estuaries) where evacuees could be caught by tsunami waves. The BTW map is able to communicate multiple pedestrian travel speeds, which are typically visualized by multiple maps with current LCD-based mapping practices. Results demonstrate that evacuation of Seaside is problematic seaward of the shore-parallel waterways for those with any limitations on mobility. Tsunami vertical-evacuation refuges or additional pedestrian bridges may be effective ways of reducing loss of life seaward of these waterways.
","language":"English","publisher":"Springer","doi":"10.1007/s11069-015-2011-4","collaboration":"State of Oregon Department of Geology and Mineral Industries","usgsCitation":"Priest, G., Stimely, L., Wood, N.J., Madin, I., and Watzig, R., 2016, Beat-the-wave evacuation mapping for tsunami hazards in Seaside, Oregon, USA: Natural Hazards, v. 80, no. 2, p. 1031-1056, https://doi.org/10.1007/s11069-015-2011-4.","productDescription":"25 p.","startPage":"1031","endPage":"1056","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065533","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":324028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"40\",\"properties\":{\"name\":\"Oregon\",\"nation\":\"USA 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Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-19","publicationStatus":"PW","scienceBaseUri":"576913b1e4b07657d19fefa5","contributors":{"authors":[{"text":"Priest, George R.","contributorId":50950,"corporation":false,"usgs":true,"family":"Priest","given":"George R.","affiliations":[],"preferred":false,"id":639869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stimely, Laura","contributorId":71092,"corporation":false,"usgs":true,"family":"Stimely","given":"Laura","email":"","affiliations":[],"preferred":false,"id":639872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":639868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madin, Ian","contributorId":83558,"corporation":false,"usgs":true,"family":"Madin","given":"Ian","affiliations":[],"preferred":false,"id":639870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watzig, Rudie","contributorId":172194,"corporation":false,"usgs":false,"family":"Watzig","given":"Rudie","email":"","affiliations":[{"id":26998,"text":"State of Oregon Department of Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":639871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227260,"text":"70227260 - 2016 - Northern long-eared bat day-roosting and prescribed fire in the Central Appalachians, USA","interactions":[],"lastModifiedDate":"2022-01-05T13:03:27.471584","indexId":"70227260","displayToPublicDate":"2016-01-05T07:00:12","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Northern long-eared bat day-roosting and prescribed fire in the Central Appalachians, USA","docAbstract":"The northern long-eared bat (Myotis septentrionalis Trovessart) is a cavity-roosting species that forages in cluttered upland and riparian forests throughout the oak-dominated Appalachian and Central Hardwoods regions. Common prior to white-nose syndrome, the population of this bat species has declined to functional extirpation in some regions in the Northeast and Mid-Atlantic, including portions of the central Appalachians. Our long-term research in the central Appalachians has shown that maternity colonies of this species form non-random assorting networks in patches of suitable trees that result from long- and short-term forest disturbance processes, and that roost loss can occur with these disturbances. Following two consecutive prescribed burns on the Fernow Experimental Forest in the central Appalachians, West Virginia, USA, in 2007 to 2008, post-fire counts of suitable black locust (Robinia pseudoacacia L.; the most selected species for roosting) slightly decreased by 2012. Conversely, post-fire numbers of suitable maple (Acer spp. L.), primarily red maple (Acer rubrum L.), increased by a factor of three, thereby ameliorating black locust reduction. Maternity colony network metrics such as roost degree (use) and network density for two networks in the burned compartment were similar to the single network observed in unburned forest. However, roost clustering and degree of roost centralization was greater for the networks in the burned forest area. Accordingly, the short-term effects of prescribed fire are slightly or moderately positive in impact to day-roost habitat for the northern long-eared bat in the central Appalachians from a social dynamic perspective. Listing of northern long-eared bats as federally threatened will bring increased scrutiny of immediate fire impacts from direct take as well as indirect impacts from long-term changes to roosting and foraging habitat in stands being returned to historic fire-return conditions. Unfortunately, definitive impacts will remain speculative owing to the species’ current rarity and the paucity of forest stand data that considers tree condition or that adequately tracks snags spatially and temporally.
Epidemiological studies indicate that fecal indicator bacteria (FIB) in beach water are associated with illnesses among people having contact with the water. In order to mitigate public health impacts, many beaches are posted with an advisory when the concentration of FIB exceeds a beach action value. The most commonly used method of measuring FIB concentration takes 18–24 h before returning a result. In order to avoid the 24 h lag, it has become common to ”nowcast” the FIB concentration using statistical regressions on environmental surrogate variables. Most commonly, nowcast models are estimated using ordinary least squares regression, but other regression methods from the statistical and machine learning literature are sometimes used. This study compares 14 regression methods across 7 Wisconsin beaches to identify which consistently produces the most accurate predictions. A random forest model is identified as the most accurate, followed by multiple regression fit using the adaptive LASSO.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2015.10.012","collaboration":"Great Lakes Restoration Initiative and Ocean Research Priority Plan","usgsCitation":"Brooks, W.R., Corsi, S., Fienen, M., and Carvin, R.B., 2016, Predicting recreational water quality advisories: A comparison of statistical methods: Environmental Modelling and Software, v. 76, p. 81-94, https://doi.org/10.1016/j.envsoft.2015.10.012.","productDescription":"14 p.","startPage":"81","endPage":"94","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-068220","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":471348,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://handle.unsw.edu.au/1959.4/unsworks_37412","text":"External Repository"},{"id":313212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568b97a9e4b0e7594ee77624","contributors":{"authors":[{"text":"Brooks, Wesley R. wrbrooks@usgs.gov","contributorId":4217,"corporation":false,"usgs":true,"family":"Brooks","given":"Wesley","email":"wrbrooks@usgs.gov","middleInitial":"R.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":150657,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":584112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":893,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","email":"mnfienen@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":584113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carvin, Rebecca B. 0000-0001-7778-4841 rbcarvin@usgs.gov","orcid":"https://orcid.org/0000-0001-7778-4841","contributorId":4456,"corporation":false,"usgs":true,"family":"Carvin","given":"Rebecca","email":"rbcarvin@usgs.gov","middleInitial":"B.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":584114,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160872,"text":"70160872 - 2016 - Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk","interactions":[],"lastModifiedDate":"2016-01-25T16:14:19","indexId":"70160872","displayToPublicDate":"2016-01-04T14:00:00","publicationYear":"2016","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":"Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk","docAbstract":"Waterborne pathogens were measured at three beaches in Lake Michigan, environmental factors for predicting pathogen concentrations were identified, and the risk of swimmer infection and illness was estimated. Waterborne pathogens were detected in 96% of samples collected at three Lake Michigan beaches in summer, 2010. Samples were quantified for 22 pathogens in four microbial categories (human viruses, bovine viruses, protozoa, and pathogenic bacteria). All beaches had detections of human and bovine viruses and pathogenic bacteria indicating influence of multiple contamination sources at these beaches. Occurrence ranged from 40 to 87% for human viruses, 65–87% for pathogenic bacteria, and 13–35% for bovine viruses. Enterovirus, adenovirus A, Salmonella spp., Campylobacter jejuni, bovine polyomavirus, and bovine rotavirus A were present most frequently. Variables selected in multiple regression models used to explore environmental factors that influence pathogens included wave direction, cloud cover, currents, and water temperature. Quantitative Microbial Risk Assessment was done for C. jejuni, Salmonella spp., and enteroviruses to estimate risk of infection and illness. Median infection risks for one-time swimming events were approximately 3 × 10–5, 7 × 10–9, and 3 × 10–7 for C. jejuni, Salmonella spp., and enteroviruses, respectively. Results highlight the importance of investigating multiple pathogens within multiple categories to avoid underestimating the prevalence and risk of waterborne pathogens.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5b04372","usgsCitation":"Corsi, S., Borchardt, M.A., Carvin, R.B., Burch, T.R., Spencer, S., Lutz, M.A., McDermott, C.M., Busse, K.M., Kleinheinz, G., Feng, X., and Zhu, J., 2016, Human and bovine viruses and bacteria at three Great Lakes beaches: Environmental variable associations and health risk: Environmental Science & Technology, v. 50, no. 2, p. 987-995, https://doi.org/10.1021/acs.est.5b04372.","productDescription":"9 p.","startPage":"987","endPage":"995","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070759","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":471349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5b04372","text":"Publisher Index Page"},{"id":313202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Twenty adult lake whitefish were tagged with acoustic tags that had either a depth sensor or both depth and temperature sensors to assess vertical habitat use at a seasonal and daily resolution. Vertical habitat selection varied seasonally and was strongly influenced by temperature. Between December and April, when the lake was covered with ice, surface temperature was below 2°C and tagged individuals occupied deep areas of the lake (∼15 m). After ice-out, fish ascended into shallow waters (∼5 m), responding to increased water temperature and possibly to greater foraging opportunity. When surface water temperatures exceeded 20°C, fish descended below the developing thermocline (∼9 m), where they remained until surface temperatures fell below 20°C; fish then ascended into shallower depths, presumably for feeding and spawning. Through the winter, fish remained in thermal habitats that were warmer than the surface temperatures; in the summer, they selected depths with thermal habitats below 15°C. Though the amplitude varied greatly across seasons, lake whitefish displayed a strong diurnal pattern of activity as measured by vertical velocities. Fish were twofold more active during spring, summer, and fall than during winter. Lake whitefish exhibited diel vertical migrations, rising in the water column during nighttime and occupying deeper waters during the day. This pattern was more pronounced in the spring and fall and far less prominent during winter and summer. The strong linkage between temperature and habitat use may limit the current range of lake whitefish and may be directly impacted by climatic change.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00028487.2012.675905","usgsCitation":"Zydlewski, J.D., Gorsky, D., and Balsey, D., 2016, Characterizing seasonal and diel vertical movement and habitat use of lake whitefish (Coregonus clupeaformis) in Clear Lake, Maine: Transactions of the American Fisheries Society, v. 141, no. 3, p. 761-771, https://doi.org/10.1080/00028487.2012.675905.","productDescription":"10 p.","startPage":"761","endPage":"771","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021954","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Main","otherGeospatial":"Clear Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.54164123535155,\n 46.92025531537451\n ],\n [\n -68.54164123535155,\n 46.9497935132625\n ],\n [\n -68.50593566894531,\n 46.9497935132625\n ],\n [\n -68.50593566894531,\n 46.92025531537451\n ],\n [\n -68.54164123535155,\n 46.92025531537451\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"141","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-05-25","publicationStatus":"PW","scienceBaseUri":"57496fade4b07e28b665cc4a","contributors":{"authors":[{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":630720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorsky, Dimitry","contributorId":169691,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","affiliations":[],"preferred":false,"id":630731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balsey, David","contributorId":169692,"corporation":false,"usgs":false,"family":"Balsey","given":"David","email":"","affiliations":[],"preferred":false,"id":630732,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70164454,"text":"70164454 - 2016 - Observing outer planet satellites (except Titan) with the James Webb Space Telescope: Science justification and observational requirements","interactions":[],"lastModifiedDate":"2018-11-13T13:53:37","indexId":"70164454","displayToPublicDate":"2016-01-04T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3203,"text":"Publications of the Astronomical Society of the Pacific","active":true,"publicationSubtype":{"id":10}},"title":"Observing outer planet satellites (except Titan) with the James Webb Space Telescope: Science justification and observational requirements","docAbstract":"The James Webb Space Telescope (JWST) will allow observations with a unique combination of spectral, spatial, and temporal resolution for the study of outer planet satellites within our Solar System. We highlight the infrared spectroscopy of icy moons and temporal changes on geologically active satellites as two particularly valuable avenues of scientific inquiry. While some care must be taken to avoid saturation issues, JWST has observation modes that should provide excellent infrared data for such studies.
","language":"English","publisher":"Astronomical Society of the Pacific","doi":"10.1088/1538-3873/128/959/018006","usgsCitation":"Keszthelyi, L.P., Grundy, W., Stansberry, J., Sivaramakrishnan, A., Thatte, D., Gudipati, M., Tsang, C., Greenbaum, A., and McGruder, C., 2016, Observing outer planet satellites (except Titan) with the James Webb Space Telescope: Science justification and observational requirements: Publications of the Astronomical Society of the Pacific, v. 128, no. 959, p. 1-8, https://doi.org/10.1088/1538-3873/128/959/018006.","productDescription":"Article 018006; 8 p.","startPage":"1","endPage":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065517","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":471350,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1088/1538-3873/128/959/018006","text":"External Repository"},{"id":316607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"959","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-04","publicationStatus":"PW","scienceBaseUri":"56b5d64ee4b0cc7999817378","contributors":{"authors":[{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":227,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo","email":"laz@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":597454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grundy, Will","contributorId":156333,"corporation":false,"usgs":false,"family":"Grundy","given":"Will","email":"","affiliations":[],"preferred":false,"id":597497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stansberry, John","contributorId":156334,"corporation":false,"usgs":false,"family":"Stansberry","given":"John","email":"","affiliations":[],"preferred":false,"id":597498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sivaramakrishnan, Anand","contributorId":156335,"corporation":false,"usgs":false,"family":"Sivaramakrishnan","given":"Anand","email":"","affiliations":[],"preferred":false,"id":597499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thatte, Deepashri","contributorId":156336,"corporation":false,"usgs":false,"family":"Thatte","given":"Deepashri","email":"","affiliations":[],"preferred":false,"id":597500,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gudipati, Murthy","contributorId":156337,"corporation":false,"usgs":false,"family":"Gudipati","given":"Murthy","email":"","affiliations":[{"id":18876,"text":"California Institute of Technology, Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":597501,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tsang, Constantine","contributorId":156338,"corporation":false,"usgs":false,"family":"Tsang","given":"Constantine","email":"","affiliations":[{"id":7037,"text":"Southwest Research Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":597502,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greenbaum, Alexandra","contributorId":156339,"corporation":false,"usgs":false,"family":"Greenbaum","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":597503,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGruder, Chima","contributorId":156340,"corporation":false,"usgs":false,"family":"McGruder","given":"Chima","email":"","affiliations":[],"preferred":false,"id":597504,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}