Isolation of the Hawaiian archipelago produced a highly endemic and unique avifauna. Avian malaria (Plasmodium relictum), an introduced mosquito-borne pathogen, is a primary cause of extinctions and declines of these endemic honeycreepers. Our research assesses how global climate change will affect future malaria risk and native bird populations. We used an epidemiological model to evaluate future bird-mosquito-malaria dynamics in response to alternative climate projections from the Coupled Model Intercomparison Project (CMIP). Climate changes during the second half of the century accelerate malaria transmission and cause a dramatic decline in bird abundance. Different temperature and precipitation patterns produce divergent trajectories where native birds persist with low malaria infection under a warmer and dryer projection (RCP4.5), but suffer high malaria infection and severe reductions under hot and dry (RCP8.5) or warm and wet (A1B) futures. We conclude that future global climate change will cause significant decreases in the abundance and diversity of remaining Hawaiian bird communities. Because these effects appear unlikely before mid-century, natural resource managers have time to implement conservation strategies to protect this unique avifauna from further decimation. Similar climatic drivers for avian and human malaria suggest that mitigation strategies for Hawai'i have broad application to human health.
","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/gcb.13005","usgsCitation":"Liao, W., Timm, O.E., Zhang, C., Atkinson, C.T., LaPointe, D., and Samuel, M.D., 2015, Will a warmer and wetter future cause extinction of native Hawaiian forest birds?: Global Change Biology, 32 p., https://doi.org/10.1111/gcb.13005.","productDescription":"32 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059405","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":308224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.77392578125,\n 21.881889807629282\n ],\n [\n -159.80712890625,\n 22.553147478403194\n ],\n [\n -158.6865234375,\n 22.451648819126216\n ],\n [\n -154.95117187499997,\n 20.52993312517078\n ],\n [\n -154.46777343749997,\n 19.539084135509334\n ],\n [\n -155.54443359374997,\n 18.70869162255995\n ],\n [\n -156.4892578125,\n 19.145168196205297\n ],\n [\n -156.55517578125,\n 19.973348786110602\n ],\n [\n -157.5,\n 20.858811790867687\n ],\n [\n -158.97216796875,\n 21.51440672003028\n ],\n [\n -159.93896484375,\n 21.6778482933475\n ],\n [\n -160.6201171875,\n 21.35078115067975\n ],\n [\n -160.77392578125,\n 21.881889807629282\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-29","publicationStatus":"PW","scienceBaseUri":"55fa849ee4b05d6c4e501a31","chorus":{"doi":"10.1111/gcb.13005","url":"http://dx.doi.org/10.1111/gcb.13005","publisher":"Wiley-Blackwell","authors":"Liao Wei, Elison Timm Oliver, Zhang Chunxi, Atkinson Carter T., LaPointe Dennis A., Samuel Michael D.","journalName":"Global Change Biology","publicationDate":"6/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Liao, Wei","contributorId":147740,"corporation":false,"usgs":false,"family":"Liao","given":"Wei","email":"","affiliations":[{"id":13018,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":572515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Timm, Oliver Elison","contributorId":147741,"corporation":false,"usgs":false,"family":"Timm","given":"Oliver","email":"","middleInitial":"Elison","affiliations":[],"preferred":false,"id":572516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Chunxi","contributorId":147742,"corporation":false,"usgs":false,"family":"Zhang","given":"Chunxi","email":"","affiliations":[],"preferred":false,"id":572517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":572518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaPointe, Dennis dlapointe@usgs.gov","contributorId":2926,"corporation":false,"usgs":true,"family":"LaPointe","given":"Dennis","email":"dlapointe@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":572519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":572504,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70157256,"text":"70157256 - 2015 - Evaluating species richness: biased ecological inference results from spatial heterogeneity in species detection probabilities","interactions":[],"lastModifiedDate":"2015-09-16T08:56:53","indexId":"70157256","displayToPublicDate":"2015-09-16T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating species richness: biased ecological inference results from spatial heterogeneity in species detection probabilities","docAbstract":"Accurate estimates of species richness are necessary to test predictions of ecological theory and evaluate biodiversity for conservation purposes. However, species richness is difficult to measure in the field because some species will almost always be overlooked due to their cryptic nature or the observer's failure to perceive their cues. Common measures of species richness that assume consistent observability across species are inviting because they may require only single counts of species at survey sites. Single-visit estimation methods ignore spatial and temporal variation in species detection probabilities related to survey or site conditions that may confound estimates of species richness. We used simulated and empirical data to evaluate the bias and precision of raw species counts, the limiting forms of jackknife and Chao estimators, and multi-species occupancy models when estimating species richness to evaluate whether the choice of estimator can affect inferences about the relationships between environmental conditions and community size under variable detection processes. Four simulated scenarios with realistic and variable detection processes were considered. Results of simulations indicated that (1) raw species counts were always biased low, (2) single-visit jackknife and Chao estimators were significantly biased regardless of detection process, (3) multispecies occupancy models were more precise and generally less biased than the jackknife and Chao estimators, and (4) spatial heterogeneity resulting from the effects of a site covariate on species detection probabilities had significant impacts on the inferred relationships between species richness and a spatially explicit environmental condition. For a real dataset of bird observations in northwestern Alaska, the four estimation methods produced different estimates of local species richness, which severely affected inferences about the effects of shrubs on local avian richness. Overall, our results indicate that neglecting the effects of site covariates on species detection probabilities may lead to significant bias in estimation of species richness, as well as the inferred relationships between community size and environmental covariates.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/14-1248.1","collaboration":"Colleen Handel","usgsCitation":"McNew, L.B., and Handel, C.M., 2015, Evaluating species richness: biased ecological inference results from spatial heterogeneity in species detection probabilities: Ecological Applications, v. 25, no. 6, p. 1669-1680, https://doi.org/10.1890/14-1248.1.","productDescription":"12 p.","startPage":"1669","endPage":"1680","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056170","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438682,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7F18WS3","text":"USGS data release","linkHelpText":"Avian Habitat Data; Seward Peninsula, Alaska, 2012"},{"id":438681,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JS9NG2","text":"USGS data release","linkHelpText":"Avian Point Transect Survey, Seward Peninsula, Alaska, 2012"},{"id":308145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fa8499e4b05d6c4e501a21","contributors":{"authors":[{"text":"McNew, Lance B. lmcnew@usgs.gov","contributorId":5086,"corporation":false,"usgs":true,"family":"McNew","given":"Lance","email":"lmcnew@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":572453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":572454,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155020,"text":"70155020 - 2015 - Landslides and megathrust splay faults captured by the late Holocene sediment record of eastern Prince William Sound, Alaska","interactions":[],"lastModifiedDate":"2015-10-23T15:48:44","indexId":"70155020","displayToPublicDate":"2015-09-15T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Landslides and megathrust splay faults captured by the late Holocene sediment record of eastern Prince William Sound, Alaska","docAbstract":"We present new marine seismic‐reflection profiles and bathymetric maps to characterize Holocene depositional patterns, submarine landslides, and active faults beneath eastern and central Prince William Sound (PWS), Alaska, which is the eastern rupture patch of the 1964 Mw 9.2 earthquake. We show evidence that submarine landslides, many of which are likely earthquake triggered, repeatedly released along the southern margin of Orca Bay in eastern PWS. We document motion on reverse faults during the 1964 Great Alaska earthquake and estimate late Holocene slip rates for these growth faults, which splay from the subduction zone megathrust. Regional bathymetric lineations help define the faults that extend 40–70 km in length, some of which show slip rates as great as 3.75 mm/yr. We infer that faults mapped below eastern PWS connect to faults mapped beneath central PWS and possibly onto the Alaska mainland via an en echelon style of faulting. Moderate (Mw>4) upper‐plate earthquakes since 1964 give rise to the possibility that these faults may rupture independently to potentially generate Mw 7–8 earthquakes, and that these earthquakes could damage local infrastructure from ground shaking. Submarine landslides, regardless of the source of initiation, could generate local tsunamis to produce large run‐ups along nearby shorelines. In a more general sense, the PWS area shows that faults that splay from the underlying plate boundary present proximal, perhaps independent seismic sources within the accretionary prism, creating a broad zone of potential surface rupture that can extend inland 150 km or more from subduction zone trenches.
","language":"English","publisher":"The Seismological Society of America","publisherLocation":"Stanford","doi":"10.1785/0120140273","usgsCitation":"Finn, S., Liberty, L.M., Haeussler, P.J., and Pratt, T.L., 2015, Landslides and megathrust splay faults captured by the late Holocene sediment record of eastern Prince William Sound, Alaska: Bulletin of the Seismological Society of America, v. 105, no. 5, p. 2343-2353, https://doi.org/10.1785/0120140273.","productDescription":"11 p.","startPage":"2343","endPage":"2353","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066872","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":310615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.512939453125,\n 59.147769484619786\n ],\n [\n -149.512939453125,\n 61.454521127671924\n ],\n [\n -144.20654296875,\n 61.454521127671924\n ],\n [\n -144.20654296875,\n 59.147769484619786\n ],\n [\n -149.512939453125,\n 59.147769484619786\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"105","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-15","publicationStatus":"PW","scienceBaseUri":"562b5a30e4b00162522207d6","contributors":{"authors":[{"text":"Finn, S.P.","contributorId":65438,"corporation":false,"usgs":true,"family":"Finn","given":"S.P.","email":"","affiliations":[],"preferred":false,"id":564676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liberty, Lee M.","contributorId":89631,"corporation":false,"usgs":true,"family":"Liberty","given":"Lee","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":564677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":564678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":564679,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70160791,"text":"70160791 - 2015 - Quantification of 15 bile acids in lake charr feces by ultra-high performance liquid chromatography–tandem mass spectrometry","interactions":[],"lastModifiedDate":"2015-12-30T15:33:17","indexId":"70160791","displayToPublicDate":"2015-09-15T16:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2215,"text":"Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Quantification of 15 bile acids in lake charr feces by ultra-high performance liquid chromatography–tandem mass spectrometry","docAbstract":"Many fishes are hypothesized to use bile acids (BAs) as chemical cues, yet quantification of BAs in biological samples and the required methods remain limited. Here, we present an UHPLC–MS/MS method for simultaneous, sensitive, and rapid quantification of 15 BAs, including free, taurine, and glycine conjugated BAs, and application of the method to fecal samples from lake charr (Salvelinus namaycush). The analytes were separated on a C18 column with acetonitrile–water (containing 7.5 mM ammonium acetate and 0.1% formic acid) as mobile phase at a flow rate of 0.25 mL/min for 12 min. BAs were monitored with a negative electrospray triple quadrupole mass spectrometer (Xevo TQ-S™). Calibration curves of 15 BAs were linear over the concentration range of 1.00–5,000 ng/mL. Validation revealed that the method was specific, accurate, and precise. The method was applied to quantitative analysis of feces extract of fry lake charr and the food they were eating. The concentrations of analytes CA, TCDCA, TCA, and CDCA were 242.3, 81.2, 60.7, and 36.2 ng/mg, respectively. However, other taurine conjugated BAs, TUDCA, TDCA, and THDCA, were not detected in feces of lake charr. Interestingly, TCA and TCDCA were detected at high concentrations in food pellets, at 71.9 and 38.2 ng/mg, respectively. Application of the method to feces samples from lake charr supported a role of BAs as chemical cues, and will enhance further investigation of BAs as chemical cues in other fish species.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.jchromb.2015.07.028","collaboration":"Li, K.; Buchinger, T.J.; Bussy, U.; Fissette, S.D.; Li W.","usgsCitation":"Li, K., Buchinger, T.J., Bussy, U., Fissette, S.D., Johnson, N., and Li, W., 2015, Quantification of 15 bile acids in lake charr feces by ultra-high performance liquid chromatography–tandem mass spectrometry: Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences, v. 1001, p. 27-34, https://doi.org/10.1016/j.jchromb.2015.07.028.","productDescription":"8 p.","startPage":"27","endPage":"34","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066854","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1001","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56850ee6e4b0a04ef4933ab9","contributors":{"authors":[{"text":"Li, Ke","contributorId":94959,"corporation":false,"usgs":true,"family":"Li","given":"Ke","affiliations":[],"preferred":false,"id":583910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buchinger, Tyler J.","contributorId":40508,"corporation":false,"usgs":true,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":583911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bussy, Ugo","contributorId":150993,"corporation":false,"usgs":false,"family":"Bussy","given":"Ugo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fissette, Skye D.","contributorId":150994,"corporation":false,"usgs":false,"family":"Fissette","given":"Skye","email":"","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583909,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":583914,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156981,"text":"ofr20151169 - 2015 - Sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and the adjacent vicinity, Maryland and Virginia, following Hurricane Sandy","interactions":[],"lastModifiedDate":"2025-05-13T16:53:28.235417","indexId":"ofr20151169","displayToPublicDate":"2015-09-15T16:15:00","publicationYear":"2015","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":"2015-1169","title":"Sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and the adjacent vicinity, Maryland and Virginia, following Hurricane Sandy","docAbstract":"The effect of tropical and extratropical cyclones on coastal wetlands and marshes is highly variable and depends on a number of climatic, geologic, and physical variables. The impacts of storms can be either positive or negative with respect to the wetland and marsh ecosystems. Small to moderate amounts of inorganic sediment added to the marsh surface during storms or other events help to abate pressure from sea-level rise. However, if the volume of sediment is large and the resulting deposits are thick, the organic substrate may compact causing submergence and a loss in elevation. Similarly, thick deposits of coarse inorganic sediment may also alter the hydrology of the site and impede vegetative processes. Alternative impacts associated with storms include shoreline erosion at the marsh edge as well as potential emergence. Evaluating the outcome of these various responses and potential long-term implications is possible from a systematic assessment of both historical and recent event deposits. A study was conducted by the U.S. Geological Survey to assess the sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and areas around Chincoteague Bay, Maryland and Virginia, following Hurricane Sandy in 2012. The objectives of this study were to (1) characterize the surficial sediment of the relict to recent washover fans and back-barrier marshes in the study area, and (2) characterize the sediment of six marsh cores from the back-barrier marshes and a single marsh island core near the mainland. These geologic data will be integrated with other remote sensing data collected along Assateague Island in Maryland and Virginia and assimilated into an assessment of coastal wetland response to storms.
\nThis report serves as an archive for sedimentological and radiochemical data derived from the surface sediments and marsh cores collected March 26–April 4, 2014. Select surficial data are available for the additional sampling periods October 21–30, 2014. Downloadable data are available as Excel spreadsheets and as JPEG files. Additional files include: Field documentation, x-radiographs, photographs, detailed results of sediment grain size analyses, and formal Federal Geographic Data Committee metadata (data downloads).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151169","usgsCitation":"Smith, C.G., Marot, M.E., Ellis, A.M., Wheaton, C.J., Bernier, J.C., and Adams, C.S., 2015, Sedimentological and radiochemical characteristics of marsh deposits from Assateague Island and the adjacent vicinity, Maryland and Virginia, following Hurricane Sandy: U.S. Geological Survey Open-File Report 2015–1169, https://dx.doi.org/10.3133/ofr20151169.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-03-26","temporalEnd":"2014-10-30","ipdsId":"IP-065781","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":308090,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1169/index.html","text":"Report (HTML)","description":"OFR 2015-1169"},{"id":308089,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1169/images/coverthb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Assateague Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4815673828125,\n 37.82931081282506\n ],\n [\n -75.4815673828125,\n 38.447135775082444\n ],\n [\n -75.02838134765625,\n 38.447135775082444\n ],\n [\n -75.02838134765625,\n 37.82931081282506\n ],\n [\n -75.4815673828125,\n 37.82931081282506\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 Fourth Street South
St. Petersburg, FL 33701-4846
(727) 502-8000
http://coastal.er.usgs.gov/
This report summarizes and interprets results of the work in the Ahankashan Area of Interest in northwestern Afghanistan and four study areas—the Ahankashan Prospect Area, Syahsang-Kushkak, Taghab-Soni, and Zakak-e ‘Olya—delineated for their potential undiscovered mineral occurrences with specific emphasis on porphyry copper and related occurrence types. The Area of Interest is underlain by rocks of three different geologic domains that cross from east to west—the Band-e-Bayan Block/Central Pamirs Domain in the south, the Hindu Kush Domain in the Paropamisus Mountains, and the Afghan Turkestan Domain in the north. The domains are sutured remnants of Tethyan tectonic elements. Interpretation of the geologic maps indicates the presence of thrust faults, strike-slip faults, and granitic intrusions emplaced in ground prepared by faulting. Thrust faulting was followed by strike-slip faulting and then followed by magmatic intrusions. Advanced Spaceborne Thermal Emission and Reflection Radiometer data were used to map minerals that have been altered by hydrothermal fluids typically associated with mineralization to delineate new potential occurrences of copper, gold, and silver. Propylitic-, argillic-, and phyllic-altered intrusive rocks are found in the area, as well as very minor amounts of hydrothermal silica-rich rocks. This area of interest is vastly underexplored and contains only seven known mineral occurrences, of which the Ahankashan copper (gold) skarn occurrence is the best known. Gold has been found in stream sediments near the Ahankashan skarn, in the Taghab-Soni study area, and possibly other parts of the Area of Interest, suggesting potential for at least small-scale placer occurrences.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151040","usgsCitation":"Drew, L.J., Sutphin, D.M., Mars, J.C., and Bogdanow, A.K., 2015, Summary of the Ahankashan area of interest: U.S. Geological Survey Open-File Report 2015–1040, 26 p., https://dx.doi.org/10.3133/ofr20151040.","productDescription":"iv, 26 p.","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051081","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":308094,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1040/ofr20151040.pdf","text":"Report","size":"4.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1040"},{"id":308092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1040/coverthb.jpg"}],"country":"Afghanistan","otherGeospatial":"Ahankashan Area of Interest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 63.19335937499999,\n 34.20725938207231\n ],\n [\n 63.19335937499999,\n 34.71452466170392\n ],\n [\n 64.83032226562499,\n 34.71452466170392\n ],\n [\n 64.83032226562499,\n 34.20725938207231\n ],\n [\n 63.19335937499999,\n 34.20725938207231\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Mineral Resources Program
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http://minerals.usgs.gov
This document provides an overview of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) supplemental algorithms in conjunction with the reuse of Landsat geometric algorithms modified by the National Aeronautics and Space Administration (NASA Land Processes Distributed Active Archive Center (LP DAAC) to create an ASTER Level 1 Precision Terrain Corrected Registered At-Sensor Radiance (AST_L1T) product. Implementation of these algorithms occurs within the AST_L1T product generation executable (PGE) as part of the open source Simple, Scalable, Script-based Science Processor for Missions (S4PM) processing software subsystem.
The AST_L1T algorithms include the following:
Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, South Dakota 57198
http://eros.usgs.gov/
In order to provide constraints on the sources of chlorine in spring waters associated with arc volcanism, the major/minor element concentrations and stable isotope compositions of chlorine, oxygen, and hydrogen were measured in 28 thermal and mineral springs along the Cascade Range in northwestern USA. Chloride concentrations in the springs range from 64 to 19,000 mg/L and View the MathML source values range from +0.2‰ to +1.9‰ (average=+1.0±0.4‰), with no systematic variation along or across the arc, nor correlations with their presumed underlying basement lithologies. Additionally, nine geochemically well-characterized lavas from across the Mt. St. Helens/Mt. Adams region of the Cascade Range (Leeman et al., 2004 and Leeman et al., 2005) were analyzed for their halogen concentrations and Cl isotope compositions. In the arc lavas, Cl and Br concentrations from the volcanic front are higher than in lavas from the forearc and backarc. F and I concentrations progressively decrease from forearc to backarc, similar to the trend documented for B in most arcs. View the MathML source values of the lavas range from −0.1 to +0.8‰ (average = +0.4±0.3‰). Our results suggest that the predominantly positive View the MathML source values observed in the springs are consistent with water interaction with underlying 37Cl-enriched basalt and/or altered oceanic crust, thereby making thermal spring waters a reasonable proxy for the Cl isotope compositions of associated volcanic rocks in the Cascades. However, waters with View the MathML source values >+1.0‰ also suggest additional contributions of chlorine degassed from cooling magmas due to subsurface vapor–liquid HCl fractionation in which Cl is lost to the aqueous fluid phase and 37Cl is concentrated in the ascending magmatic HCl vapor. Future work is necessary to better constrain Cl isotope behavior during volcanic degassing and fluid–rock interaction in order to improve volatile flux estimates through subduction zones.
","language":"English","publisher":"Elsevier","publisherLocation":"New York","doi":"10.1016/j.epsl.2015.06.052","usgsCitation":"Cullen, J.T., Barnes, J., Hurwitz, S., and Leeman, W.P., 2015, Tracing chlorine sources of thermal and mineral springs along and across the Cascade Range using halogen and chlorine isotope compositions: Earth and Planetary Science Letters, v. 426, p. 225-234, https://doi.org/10.1016/j.epsl.2015.06.052.","productDescription":"10 p.","startPage":"225","endPage":"234","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065832","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":471791,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2015.06.052","text":"Publisher Index Page"},{"id":310605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Cascade Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -127.50732421874999,\n 38.839707613545144\n ],\n [\n -127.50732421874999,\n 50.17689812200105\n ],\n [\n -118.71826171875,\n 50.17689812200105\n ],\n [\n -118.71826171875,\n 38.839707613545144\n ],\n [\n -127.50732421874999,\n 38.839707613545144\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"426","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562b5a37e4b00162522207f0","chorus":{"doi":"10.1016/j.epsl.2015.06.052","url":"http://dx.doi.org/10.1016/j.epsl.2015.06.052","publisher":"Elsevier BV","authors":"Cullen Jeffrey T., Barnes Jaime D., Hurwitz Shaul, Leeman William P.","journalName":"Earth and Planetary Science Letters","publicationDate":"9/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Cullen, Jeffrey T.","contributorId":140885,"corporation":false,"usgs":false,"family":"Cullen","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":547395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Jaime D.","contributorId":140886,"corporation":false,"usgs":false,"family":"Barnes","given":"Jaime D.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":547396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":140884,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":547394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leeman, William P.","contributorId":87142,"corporation":false,"usgs":true,"family":"Leeman","given":"William","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":547397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175403,"text":"70175403 - 2015 - Case 3693 Cryptodacus Hendel, 1914 (Insecta: Diptera: Tephritidae): Proposed suppression of Cryptodacus Gundlach, 1862 (Reptilia, Serpentes, Colubridae)","interactions":[],"lastModifiedDate":"2020-12-18T15:09:50.6439","indexId":"70175403","displayToPublicDate":"2015-09-15T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1110,"text":"Bulletin of Zoological Nomenclature","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Case 3693 Cryptodacus Hendel, 1914 (Insecta: Diptera: Tephritidae): Proposed suppression of Cryptodacus Gundlach, 1862 (Reptilia, Serpentes, Colubridae)","title":"Case 3693 Cryptodacus Hendel, 1914 (Insecta: Diptera: Tephritidae): Proposed suppression of Cryptodacus Gundlach, 1862 (Reptilia, Serpentes, Colubridae)","docAbstract":"The purpose of this application, under Article 23.9.3, is to conserve current usage of the well-established genus-group name Cryptodacus Hendel, 1914 for a genus of Neotropical fruit flies by suppression of the earlier, unused name Cryptodacus Gundlach, 1862, currently a junior synonym of Arrhyton Günther, 1858, a genus of snakes, under the plenary power of the Commission, in the interest of nomenclatural stability. Cryptodacus Gundlach has not been used as a valid name since 1883, whereas Cryptodacus Hendel has been used in a significant body of literature relating to fruit fly systematics, morphology and phylogeny and is the currently used name in various name and molecular databases.
","language":"English","publisher":"International Trust for Zoological Nomenclature","doi":"10.21805/bzn.v72i3.a12","usgsCitation":"Norrbom, A.L., McDiarmid, R.W., Chen, X., David, J., De Meyer, M., Freidberg, A., Han, H., Hancock, D., Steck, G.J., Thompson, F.R., White, I., and Zucchi, R.A., 2015, Case 3693 Cryptodacus Hendel, 1914 (Insecta: Diptera: Tephritidae): Proposed suppression of Cryptodacus Gundlach, 1862 (Reptilia, Serpentes, Colubridae): Bulletin of Zoological Nomenclature, v. 72, no. 3, p. 204-208, https://doi.org/10.21805/bzn.v72i3.a12.","productDescription":"5 p.","startPage":"204","endPage":"208","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067106","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":471793,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.biodiversitylibrary.org/part/378187","text":"External Repository"},{"id":326303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57aafeeae4b05e859be0f082","contributors":{"authors":[{"text":"Norrbom, Allen L.","contributorId":173559,"corporation":false,"usgs":false,"family":"Norrbom","given":"Allen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":645082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDiarmid, Roy W. 0000-0002-7649-1796 rmcdiarmid@usgs.gov","orcid":"https://orcid.org/0000-0002-7649-1796","contributorId":3603,"corporation":false,"usgs":true,"family":"McDiarmid","given":"Roy","email":"rmcdiarmid@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":645076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Xiao-Lin","contributorId":173560,"corporation":false,"usgs":false,"family":"Chen","given":"Xiao-Lin","email":"","affiliations":[],"preferred":false,"id":645083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"David, J.","contributorId":60915,"corporation":false,"usgs":true,"family":"David","given":"J.","email":"","affiliations":[],"preferred":false,"id":645084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De Meyer, Marc","contributorId":173561,"corporation":false,"usgs":false,"family":"De Meyer","given":"Marc","email":"","affiliations":[],"preferred":false,"id":645085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freidberg, Amnon","contributorId":173562,"corporation":false,"usgs":false,"family":"Freidberg","given":"Amnon","email":"","affiliations":[],"preferred":false,"id":645086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Han, Ho-Yeon","contributorId":173563,"corporation":false,"usgs":false,"family":"Han","given":"Ho-Yeon","email":"","affiliations":[],"preferred":false,"id":645087,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hancock, David","contributorId":245825,"corporation":false,"usgs":false,"family":"Hancock","given":"David","email":"","affiliations":[],"preferred":false,"id":807070,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Steck, Gary J.","contributorId":173564,"corporation":false,"usgs":false,"family":"Steck","given":"Gary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":645088,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thompson, Frank R. III","contributorId":173565,"corporation":false,"usgs":false,"family":"Thompson","given":"Frank","suffix":"III","email":"","middleInitial":"R.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":645089,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"White, Ian M.","contributorId":173566,"corporation":false,"usgs":false,"family":"White","given":"Ian M.","affiliations":[],"preferred":false,"id":645090,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zucchi, Roberto A.","contributorId":173567,"corporation":false,"usgs":false,"family":"Zucchi","given":"Roberto","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":645091,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70174883,"text":"70174883 - 2015 - Strongly-sheared wind-forced currents in the nearshore regions of the central Southern California Bight","interactions":[],"lastModifiedDate":"2016-10-11T16:42:54","indexId":"70174883","displayToPublicDate":"2015-09-15T13:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Strongly-sheared wind-forced currents in the nearshore regions of the central Southern California Bight","docAbstract":"Contrary to many previous reports, winds do drive currents along the shelf in the central portion of the Southern California Bight (SCB). Winds off Huntington Beach CA are the dominant forcing for currents over the nearshore region of the shelf (water depths less than 20 m). Winds control about 50–70% of the energy in nearshore alongshelf surface currents. The wind-driven current amplitudes are also anomalously high. For a relatively weak 1 dyne/cm2 wind stress, the alongshelf surface current amplitudes in this region can reach 80 cm/s or more. Mid-depth current amplitudes for the same wind stress are around 30–40 cm/s. These wind-driven surface current amplitudes are much larger than previously measured over other nearshore shelf regions, perhaps because this program is one of the few that measured currents within a meter of the surface. The near-bed cross-shelf currents over the nearshore region of the Huntington Beach shelf have an Ekman response to winds in that they upwell (downwell) for down (up) coast winds. This response disappears further offshore. Hence, there is upwelling in the SCB, but it does not occur across the entire shelf. Subthermocline water in the nearshore region that may contain nutrients and plankton move onshore when winds are southeastward, but subthermocline water over the shelf break is not transported to the beach. The currents over the outer shelf are not predominately controlled by winds, consistent with previous reports. Instead, they are mainly driven by cross-shelf pressure gradients that are independent of local wind stress.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2015.04.019","usgsCitation":"Noble, M.A., Rosenberger, K.J., and Robertson, G.L., 2015, Strongly-sheared wind-forced currents in the nearshore regions of the central Southern California Bight: Continental Shelf Research, v. 106, p. 1-16, https://doi.org/10.1016/j.csr.2015.04.019.","productDescription":"16 p.","startPage":"1","endPage":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056503","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":325471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"106","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5790a190e4b030378fb47461","contributors":{"authors":[{"text":"Noble, Marlene A. mnoble@usgs.gov","contributorId":1429,"corporation":false,"usgs":true,"family":"Noble","given":"Marlene","email":"mnoble@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":642977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":642978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, George L.","contributorId":58199,"corporation":false,"usgs":true,"family":"Robertson","given":"George","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":642979,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70159975,"text":"70159975 - 2015 - Prospective HyspIRI global observations of tidal wetlands","interactions":[],"lastModifiedDate":"2015-12-07T13:18:57","indexId":"70159975","displayToPublicDate":"2015-09-15T02:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Prospective HyspIRI global observations of tidal wetlands","docAbstract":"Tidal wetlands are highly productive and act as critical habitat for a wide variety of plants, fish, shellfish, and other wildlife. These ecotones between aquatic and terrestrial environments also provide protection from storm damage, run-off filtering, and recharge of aquifers. Many wetlands along coasts have been exposed to stress-inducing alterations globally, including dredge and fill operations, hydrologic modifications, pollutants, impoundments, fragmentation by roads/ditches, and sea level rise. For wetland protection and sensible coastal development, there is a need to monitor these ecosystems at global and regional scales. Recent advances in satellite sensor design and data analysis are providing practical methods for monitoring natural and man-made changes in wetlands. However, available satellite remote sensors have been limited to mapping primarily wetland location and extent. This paper describes how the HyspIRI hyperspectral and thermal infrared sensors can be used to study and map key ecological properties, such as species composition, biomass, hydrology, and evapotranspiration of tidal salt and brackish marshes and mangroves, and perhaps other major wetland types, including freshwater marshes and wooded/shrub wetlands.
","language":"English","publisher":"American Elsevier Pub. Co","publisherLocation":"New York, NY","doi":"10.1016/j.rse.2015.05.008","usgsCitation":"Kevin Turpie, Klemas, V., Byrd, K.B., Kelly, M., and Jo, Y., 2015, Prospective HyspIRI global observations of tidal wetlands: Remote Sensing of Environment, v. 167, p. 206-217, https://doi.org/10.1016/j.rse.2015.05.008.","productDescription":"12 p.","startPage":"206","endPage":"217","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059690","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":471794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/2hw3t446","text":"External Repository"},{"id":312010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5666bbece4b06a3ea36c8b40","contributors":{"authors":[{"text":"Kevin Turpie","contributorId":150358,"corporation":false,"usgs":false,"family":"Kevin Turpie","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":581399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klemas, Victor","contributorId":150359,"corporation":false,"usgs":false,"family":"Klemas","given":"Victor","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":581400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":581398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Maggi","contributorId":150360,"corporation":false,"usgs":false,"family":"Kelly","given":"Maggi","email":"","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":581401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jo, Young-Heon","contributorId":150361,"corporation":false,"usgs":false,"family":"Jo","given":"Young-Heon","email":"","affiliations":[{"id":18010,"text":"Pusan National University, Busan, South Korea","active":true,"usgs":false}],"preferred":false,"id":581402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157314,"text":"70157314 - 2015 - Integrated thermal infrared imaging and Structure-from-Motion photogrametry to map apparent temperature and radiant hydrothermal heat flux at Mammoth Mountain, CA USA","interactions":[],"lastModifiedDate":"2015-09-21T16:10:21","indexId":"70157314","displayToPublicDate":"2015-09-15T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Integrated thermal infrared imaging and Structure-from-Motion photogrametry to map apparent temperature and radiant hydrothermal heat flux at Mammoth Mountain, CA USA","docAbstract":"This work presents a method to create high-resolution (cm-scale) orthorectified and georeferenced maps of apparent surface temperature and radiant hydrothermal heat flux and estimate the radiant hydrothermal heat emission rate from a study area. A ground-based thermal infrared (TIR) camera was used to collect (1) a set of overlapping and offset visible imagery around the study area during the daytime and (2) time series of co-located visible and TIR imagery at one or more sites within the study area from pre-dawn to daytime. Daytime visible imagery was processed using the Structure-from-Motion photogrammetric method to create a digital elevation model onto which pre-dawn TIR imagery was orthorectified and georeferenced. Three-dimensional maps of apparent surface temperature and radiant hydrothermal heat flux were then visualized and analyzed from various computer platforms (e.g., Google Earth, ArcGIS). We demonstrate this method at the Mammoth Mountain fumarole area on Mammoth Mountain, CA. Time-averaged apparent surface temperatures and radiant hydrothermal heat fluxes were observed up to 73.7 oC and 450 W m-2, respectively, while the estimated radiant hydrothermal heat emission rate from the area was 1.54 kW. Results should provide a basis for monitoring potential volcanic unrest and mitigating hydrothermal heat-related hazards on the volcano.
","language":"English","publisher":"ScienceDirect","usgsCitation":"Lewis, A., Hilley, G., and Lewicki, J.L., 2015, Integrated thermal infrared imaging and Structure-from-Motion photogrametry to map apparent temperature and radiant hydrothermal heat flux at Mammoth Mountain, CA USA: Journal of Volcanology and Geothermal Research, v. 303, p. 16-24.","productDescription":"7 p.","startPage":"16","endPage":"24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064910","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":308336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308274,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1016/j.jvolgeores.2015.07.025"}],"country":"United States","state":"California","otherGeospatial":"Mammoth Mountain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.11582946777342,\n 37.60117623656667\n ],\n [\n -119.11582946777342,\n 37.69088430259205\n ],\n [\n -118.9441680908203,\n 37.69088430259205\n ],\n [\n -118.9441680908203,\n 37.60117623656667\n ],\n [\n -119.11582946777342,\n 37.60117623656667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"303","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56012a5de4b03bc34f544409","contributors":{"authors":[{"text":"Lewis, Aaron","contributorId":147792,"corporation":false,"usgs":false,"family":"Lewis","given":"Aaron","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":572669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilley, George","contributorId":147793,"corporation":false,"usgs":false,"family":"Hilley","given":"George","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":572670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewicki, Jennifer L. 0000-0003-1994-9104 jlewicki@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-9104","contributorId":5071,"corporation":false,"usgs":true,"family":"Lewicki","given":"Jennifer","email":"jlewicki@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":572668,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155523,"text":"ds948 - 2015 - U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT), 1974–2012","interactions":[],"lastModifiedDate":"2015-09-17T10:12:03","indexId":"ds948","displayToPublicDate":"2015-09-14T17:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"948","title":"U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT), 1974–2012","docAbstract":"This dataset provides a U.S. national 60-meter, 19-class mapping of anthropogenic land uses for five time periods: 1974, 1982, 1992, 2002, and 2012. The 2012 dataset is based on a slightly modified version of the National Land Cover Database 2011 (NLCD 2011) that was recoded to a schema of land uses, and mapped back in time to develop datasets for the four earlier eras. The time periods coincide with U.S. Department of Agriculture (USDA) Census of Agriculture data collection years. Changes are derived from (a) known changes in water bodies from reservoir construction or removal; (b) housing unit density changes; (c) regional mining/extraction trends; (d) for 1999–2012, timber and forestry activity based on U.S. Geological Survey (USGS) Landscape Fire and Resource Management Planning Tools (Landfire) data; (e) county-level USDA Census of Agriculture change in cultivated land; and (f) establishment dates of major conservation areas. The data are compared to several other published studies and datasets as validation. Caveats are provided about limitations of the data for some classes. The work was completed as part of the USGS National Water-Quality Assessment (NAWQA) Program and termed the NAWQA Wall-to-Wall Anthropogenic Land Use Trends (NWALT) dataset. The associated datasets include five 60-meter geospatial rasters showing anthropogenic land use for the years 1974, 1982, 1992, 2002, and 2012, and 14 rasters showing the annual extent of timber clearcutting and harvest from 1999 to 2012.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds948","usgsCitation":"Falcone, J.A., 2015, U.S. conterminous wall-to-wall anthropogenic land use trends (NWALT), 1974–2012: U.S. Geological Survey Data Series 948, 33 p. plus appendixes 3–6 as separate files, https://dx.doi.org/10.3133/ds948.","productDescription":"Report: viii, 33 p.; Appendixes 3-6; Spatial Data","numberOfPages":"45","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066108","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":308093,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/ds948_NWALT.xml","text":"DS 948 NWALT","description":"DS 948"},{"id":308002,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0948/ds948.pdf","text":"Report","size":"8.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 948"},{"id":308001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0948/cover.jpg"},{"id":308003,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0948/appendix/ds948_appendix3.pdf","text":"DS 948 - Appendix 3","size":"106 KB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 948"},{"id":308004,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0948/appendix/ds948_appendix4.pdf","text":"DS 948 - Appendix 4","size":"161 KB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 948"},{"id":308005,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0948/appendix/ds948_appendix5.pdf","text":"DS 948 - Appendix 5","size":"8.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 948"},{"id":308006,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0948/appendix/ds948_appendix6.xlsx","text":"DS 948 - Appendix 6","size":"97.6 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 948"}],"country":"United States","contact":"Chief, Office of Water Quality
U.S. Geological Survey
412 National Center
Reston, VA 20192
http://water.usgs.gov/owq/
This crosswalk is based on the premise that there is a connection between the way mineral commodities are used and how this use is reflected in the economy. Raw mineral commodities are the basic materials from which goods, finished products, or intermediate materials are manufactured or made. Mineral commodities are vital to the development of the U.S. economy and they impact nearly every industrial segment of the economy, representing 12.2 percent of the U.S. gross domestic product (GDP) in 2010 (U.S. Bureau of Economic Analysis, 2014). In an effort to better understand the distribution of mineral commodities in the economy, the U.S. Geological Survey (USGS) attempts to link the end uses of mineral commodities to the corresponding North American Industry Classification System (NAICS) codes.
\nThe links between the end uses of mineral commodities and the NAICS codes provide an instrument for analyzing the use of mineral commodities in the economy. The crosswalk is also a guide, highlighting those industrial sectors in the economy that rely heavily on mineral commodities. The distribution of mineral commodities across the economy is dynamic and does differ from year to year. This report reflects a snapshot of the state of the economy and mineral commodities in 2010.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151163","usgsCitation":"Barry, J.J., Matos, G.R., and Menzie, W.D., 2015, A crosswalk of mineral commodity end uses and North American Industry Classification System (NAICS) codes: U.S. Geological Survey Open-File Report 2015–1163, 4 p., plus 77 tables in 1 Excel file, https://dx.doi.org/10.3133/ofr20151163.","productDescription":"Report: v, 4 p.; Excel File","numberOfPages":"10","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-057770","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":308045,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2015/1163/ofr20151163_tables1-77.xlsx","text":"Excel File","size":"651 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1163"},{"id":308044,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1163/ofr20151163.pdf","text":"Report","size":"172 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1163"},{"id":308043,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ofr/2015/1163/coverthbr.jpg"}],"contact":"Director, National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Dr.
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
http://minerals.usgs.gov/minerals/
The U.S. Geological Survey (USGS) conducts baseline and storm response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On September 5-6, 2014, the USGS conducted an oblique aerial photographic survey from Key Largo, Florida, to the Florida/Georgia border (Figure 1), aboard a Cessna 182 at an altitude of 500 feet (ft) and approximately 1,200 ft offshore (Figure 2). This mission was flown to collect baseline data for assessing incremental changes since the last survey, flown October 1998, and the data can be used in the assessment of future coastal change.
\nThe photographs provided here are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.
\nTable 1 provides detailed information about the GPS location, image name, date, and time of each of the 3,892 photographs taken along with links to each photograph.
\nIn addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files. These KML files can be found in the kml folder.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds953","usgsCitation":"Morgan, K.L.M., 2015, Baseline coastal oblique aerial photographs collected from Key Largo, Florida, to the Florida/Georgia border, September 5-6, 2014: U.S. Geological Survey Data Series 953, https://dx.doi.org/10.3133/ds953.","productDescription":"HTML document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2014-09-05","temporalEnd":"2015-09-06","ipdsId":"IP-065621","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307882,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0953/coverthb.jpg"},{"id":307883,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0953/index.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DS 953"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.573486328125,\n 25.334096684794456\n ],\n [\n -81.573486328125,\n 30.713503990354965\n ],\n [\n -79.9365234375,\n 30.713503990354965\n ],\n [\n -79.9365234375,\n 25.334096684794456\n ],\n [\n -81.573486328125,\n 25.334096684794456\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
600 4th Street South
St. Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov/
We constrain the physical nature of the magma reservoir and the mechanisms of rhyolite generation at Yellowstone caldera via detailed characterization of zircon and sanidine crystals hosted in three rhyolites erupted during the (ca. 170 – 70 ka) Central Plateau Member eruptive episode – the most recent post-caldera magmatism at Yellowstone. We present 238U-230Th crystallization ages and trace-element compositions of the interiors and surfaces (i.e., unpolished rims) of individual zircon crystals from each rhyolite. We compare these zircon data to 238U- 230Th crystallization ages of bulk sanidine separates coupled with chemical and isotopic data from single sanidine crystals. Zircon age and trace-element data demonstrate that the magma reservoir that sourced the Central Plateau Member rhyolites was long-lived (150 – 250 kyr) and genetically related to the preceding episode of magmatism, which occurred ca. 256 ka. The interiors of most zircons in each rhyolite were inherited from unerupted material related to older stages of Central Plateau Member magmatism or the preceding late Upper Basin Member magmatism (i.e., are antecrysts). Conversely, most zircon surfaces crystallized near the time of eruption from their host liquids (i.e., are autocrystic). The repeated recycling of zircon interiors from older stages of magmatism demonstrates that sequentially erupted Central Plateau Member rhyolites are genetically related. Sanidine separates from each rhyolite yield 238U-230Th crystallization ages at or near the eruption age of their host magmas, coeval with the coexisting zircon surfaces, but are younger than the coexisting zircon interiors. Chemical and isotopic data from single sanidine crystals demonstrate that the sanidines in each rhyolite are in equilibrium with their host melts, which considered along with their near-eruption crystallization ages suggests that nearly all CPM sanidines are autocrystic. The paucity of antecrystic sanidine crystals relative to antecrystic zircons require a model where eruptible rhyolites are generated by extracting melt and zircons from a long-lived mush of immobile crystal-rich magma. In this process the larger sanidine crystals remain trapped in the locked crystal network. The extracted melts (plus antecrystic zircon) amalgamate into a liquid dominated (i.e., eruptible) magma body that is maintained as a physically distinct entity relative to the bulk of the long-lived crystal mush. Zircon surfaces and sanidines in each rhyolite crystallize after melt extraction/amalgamation and their ages constrain the residence time of eruptible magmas at Yellowstone. Residence times of the large volume rhyolites (~40 – 70 km3) are ≤ 1 kyr (conservatively < 6 kyr), which suggests that large volumes of rhyolite can be generated rapidly by extracting melt from a crystal mush. Because the lifespan of the crystal mush that sourced the Central Plateau Member rhyolites is two orders of magnitude longer than the residence time of eruptible magma bodies within the reservoir, it is apparent that the Yellowstone magma reservoir spends most of its time in a largely-crystalline (i.e., uneruptible) state, similar to the present-day magma reservoir, and that eruptible magma bodies are ephemeral features.
","language":"English","publisher":"Oxford University Press","publisherLocation":"Oxford","doi":"10.1093/petrology/egv047","usgsCitation":"Stelten, M.E., Cooper, K.M., Vazquez, J.A., Calvert, A.T., and Glessner, J., 2015, Mechanisms and timescales of generating eruptible rhyolitic magmas at Yellowstone caldera from zircon and sanidine geochronology and geochemistry: Journal of Petrology, v. 56, no. 8, p. 1607-1642, https://doi.org/10.1093/petrology/egv047.","productDescription":"36 p.","startPage":"1607","endPage":"1642","numberOfPages":"36","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060417","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471795,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egv047","text":"Publisher Index Page"},{"id":310232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Wyoming","otherGeospatial":"Yellowstone Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.60784912109375,\n 44.70965819812379\n ],\n [\n -109.90447998046875,\n 44.859762688042736\n ],\n [\n -110.40985107421875,\n 44.933696389694674\n ],\n [\n -110.74493408203125,\n 44.83055216443822\n ],\n [\n -110.9564208984375,\n 44.70770622183535\n ],\n [\n -111.3958740234375,\n 44.296332880058706\n ],\n [\n -111.33819580078125,\n 43.92163712834673\n ],\n [\n -111.29425048828125,\n 43.534611617432816\n ],\n [\n -109.75341796875,\n 43.74530493763506\n ],\n [\n -109.259033203125,\n 44.004669106432225\n ],\n [\n -109.10247802734375,\n 44.4377021634654\n ],\n [\n -109.60784912109375,\n 44.70965819812379\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-11","publicationStatus":"PW","scienceBaseUri":"5628b73ce4b0d158f5926c3e","contributors":{"authors":[{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":565665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Kari M.","contributorId":32814,"corporation":false,"usgs":true,"family":"Cooper","given":"Kari","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":565666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":565664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":565667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glessner, Justin G","contributorId":145924,"corporation":false,"usgs":false,"family":"Glessner","given":"Justin G","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":565668,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157048,"text":"70157048 - 2015 - A case study demonstrating analysis of stormflows, concentrations, and loads of nutrients in highway runoff and swale discharge with the Stochastic Empirical Loading and Dilution Model (SELDM)","interactions":[],"lastModifiedDate":"2015-09-14T09:55:40","indexId":"70157048","displayToPublicDate":"2015-09-14T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"A case study demonstrating analysis of stormflows, concentrations, and loads of nutrients in highway runoff and swale discharge with the Stochastic Empirical Loading and Dilution Model (SELDM)","docAbstract":"Decisionmakers need information about the quality and quantity of stormwater runoff, the risk for adverse effects of runoff on receiving waters, and the potential effectiveness of mitigation measures to reduce these risks. The Stochastic Empirical Loading and Dilution Model (SELDM) uses Monte Carlo methods to generate stormflows, concentrations, and loads from a highway site and an upstream basin to provide needed risk-based information. SELDM was designed to help inform water-management decisions for streams and lakes receiving runoff from a highway or other land-use site. The purpose of this paper is to provide a brief description of SELDM and a hypothetical case study demonstrating the type of risk-based information that SELDM can provide. Total nitrogen (TN) and total phosphorus (TP) were selected as example constituents because nutrients are a common concern throughout the Nation and data for receiving waters, highway runoff, and the performance of best management practices (BMPs) are readily available for these constituents.
\nThe case study is hypothetical, but was formulated by using actual data from selected monitoring sites in New England. Data representing streamflow and water-quality were collected at U.S. Geological Survey (USGS) streamgage 01208950 Sasco Brook near Southport, CT, which has a drainage area of 7.38 square miles. In this hypothetical case study a 4-lane highway would replace the current 2-lane road and would have a contributing area of 2.2 acres between the topographic basin divides. Concentrations of TN and TP in highway runoff were simulated with data from USGS highway-runoff monitoring station 423027071291301 along State Route 2 in Littleton Massachusetts. Results of a highway-runoff analysis are shown in relation to three hypothetical discharge criteria for TN and two hypothetical discharge criteria for TP. The risks for exceeding TN discharge criteria of 3, 5, and 8 mg/L for highway runoff are 7.4, 0.83, and 0.13 percent of 1,721 runoff events that may occur during a stochastic 30-year simulation. If a grassy swale is used to treat the runoff, the risks for TN exceedances are reduced to 3.2, 0.33 and 0.03 percent, respectively. The risks for exceeding TP discharge criteria of 0.1 and 0.5 mg/L for highway runoff are 49 and 1.2 percent, respectively. If a grassy swale is used to treat the runoff, the risks for TP exceedances are 57 and 0.8 percent, respectively. The risks for the 0.1 mg/L criterion increase because swales can be a source of TP if pavement concentrations are low. The risks for the 0.5 mg/L criterion decrease because the swale is effective for reducing high TP concentrations. Although the results are mixed for storm-event concentrations, the grassy swale effectively reduces annual loads. Annual loads from the swale are, on average, about 49 percent of highway loads for TN and 62 percent of highway loads of TP because the swale reduces high runoff concentrations and stormflow volumes. Analysis of upstream and downstream concentrations indicates that runoff from the site of interest does not have a substantial effect on instream stormflow concentrations in this example simulation.
","conferenceTitle":"StormCon","conferenceDate":"08/6/2015","conferenceLocation":"Austin, TX","language":"English","publisher":"Forester Media Inc.","publisherLocation":"Santa Barbara, CA","collaboration":"Federal Highway Administration","usgsCitation":"Granato, G.E., and Jones, S.C., 2015, A case study demonstrating analysis of stormflows, concentrations, and loads of nutrients in highway runoff and swale discharge with the Stochastic Empirical Loading and Dilution Model (SELDM), StormCon, Austin, TX, 08/6/2015, p. 1-10.","productDescription":"10 p.","startPage":"1","endPage":"10","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063178","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":308099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307902,"type":{"id":11,"text":"Document"},"url":"https://webdmamrl.er.usgs.gov/g1/FHWA/Presentations/GranatoJones2015StormCon.pdf"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f7e19ee4b05d6c4e4fa951","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":147346,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory","email":"ggranato@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":false,"id":571336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Susan C. 0000-0002-5891-5209","orcid":"https://orcid.org/0000-0002-5891-5209","contributorId":64716,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":34302,"text":"Federal Highway Administration (United States)","active":true,"usgs":false}],"preferred":false,"id":571337,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70155913,"text":"ofr20151143 - 2015 - Biological and geochemical data along Indian Point, Vermilion Bay, Louisiana","interactions":[],"lastModifiedDate":"2025-05-13T16:54:08.808533","indexId":"ofr20151143","displayToPublicDate":"2015-09-14T10:15:00","publicationYear":"2015","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":"2015-1143","title":"Biological and geochemical data along Indian Point, Vermilion Bay, Louisiana","docAbstract":"Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center collected shallow sediment cores and surface samples from a coastal salt marsh environment next to Vermilion Bay in southwest Louisiana in January 2013. The sampling was part of a larger USGS study to gather data for assessing environmental changes over the past 150 years. The objective of the study was to expand upon the historical context of sea level and storms affecting coastal systems and how these systems might change under persistent or varying conditions. The data from this report add to a regional environmental change database that aids with the continuing effort to understand the evolution of coastal systems.
\nThis report serves as an archive for sedimentological, radiochemical, and microbiological data derived from the sediment cores. Data are available for January 2013. Downloadable data are available as Excel spreadsheets and as JPEG files. Additional files include ArcGIS shapefiles of the sampling sites, detailed results of sediment analyses, and formal Federal Geographic Data Committee metadata.
\nThe authors thank Nancy DeWitt, B.J. Reynolds, Christopher Reich (USGS, St. Petersburg Coastal and Marine Science Center), for help with sample collection and processing; Michael Ball, Sarai Piazza, and Gregory Steyer (USGS, Coastal Restoration Assessment Branch) for assistance accessing CRMS Site 541; and Darrell Anders and Phillip Turnipseed (USGS National Wetlands Research Center) for technical support while in the field. We would also like to thank Caitlyn Reynolds and Nicholas Zaremba for their pre-release commentary and peer review.
\nThis publication was prepared by an agency of the United States Government. Although these data were processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151143","usgsCitation":"Richwine, K.A., Marot, M.E., Smith, C.G., Osterman, L.E., and Adams, C.S., 2015, Biological and geochemical data along Indian Point, Vermilion Bay, Louisiana: U.S. Geological Survey Open-File Report 2015-1143, https://dx.doi.org/10.3133/ofr20151143.","productDescription":"Report: HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-059007","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307119,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2015/1143/downloads","text":"Biological and Geochemical Data","description":"OFR 2015-1143"},{"id":307094,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1143/coverthb.jpg"},{"id":307095,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1143/index.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1143"}],"country":"United States","state":"Louisiana","otherGeospatial":"Indian Point, Vermilion Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.05787658691406,\n 29.608088257406806\n ],\n [\n -92.05787658691406,\n 29.6361427369564\n ],\n [\n -92.00363159179688,\n 29.6361427369564\n ],\n [\n -92.00363159179688,\n 29.608088257406806\n ],\n [\n -92.05787658691406,\n 29.608088257406806\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South St.
Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov/
Cyanobacteria can produce toxins and form harmful algal blooms. The Native American and Alaska Native communities that are dependent on subsistence fishing have an increased risk of exposure to these cyanotoxins. It is important to recognize the presence of an algal bloom in a waterbody and to distinguish a potentially toxic harmful algal bloom from a non-toxic bloom. This guide provides field images that show cyanobacteria blooms, some of which can be toxin producers, as well as other non-toxic algae blooms and floating plants that might be confused with algae. After recognition of a potential toxin-producing cyanobacterial bloom in the field, the type(s) of cyanobacteria present needs to be identified. Species identification, which requires microscopic examination, may help distinguish a toxin-producer from a non-toxin producer. This guide also provides microscopic images of the common cyanobacteria that are known to produce toxins, as well as images of algae that form blooms but do not produce toxins.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151164","usgsCitation":"Rosen, B.H., and St. Amand, Ann, Field and laboratory guide to freshwater cyanobacteria harmful algal blooms for Native American and Alaska Native Communities: U.S. Geological Survey Open-File Report 2015–1164, 44 p., https://dx.doi.org/10.3133/ofr20151164.","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065834","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":308071,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1164/ofr20151164.pdf","text":"Report","size":"7.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1164"},{"id":308070,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1164/coverthb.jpg"}],"contact":"National Tribal Liaison
USGS Office of Tribal Relations
12201 Sunrise Valley Drive, Mail Stop 911
Reston, VA 20192
(703) 648-4437
Managing freshwater resources sustainably under future climatic and hydrological uncertainty poses novel challenges. Rehabilitation of ageing infrastructure and construction of new dams are widely viewed as solutions to diminish climate risk, but attaining the broad goal of freshwater sustainability will require expansion of the prevailing water resources management paradigm beyond narrow economic criteria to include socially valued ecosystem functions and services. We introduce a new decision framework, eco-engineering decision scaling (EEDS), that explicitly and quantitatively explores trade-offs in stakeholder-defined engineering and ecological performance metrics across a range of possible management actions under unknown future hydrological and climate states. We illustrate its potential application through a hypothetical case study of the Iowa River, USA. EEDS holds promise as a powerful framework for operationalizing freshwater sustainability under future hydrological uncertainty by fostering collaboration across historically conflicting perspectives of water resource engineering and river conservation ecology to design and operate water infrastructure for social and environmental benefits.
","language":"English","publisher":"Nature Pub. Group","publisherLocation":"New York, NY","doi":"10.1038/nclimate2765","usgsCitation":"Poff, N., Brown, C.M., Grantham, T.E., Matthews, J.H., Palmer, M.A., Spence, C.M., Wilby, R.L., Haasnoot, M., Mendoza, G., Dominique, K.C., and Baeza, A., 2015, Sustainable water management under future uncertainty with eco-engineering decision scaling: Nature Climate Change, v. 6, p. 25-34, https://doi.org/10.1038/nclimate2765.","productDescription":"10","startPage":"25","endPage":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063765","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":471797,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://dspace.lboro.ac.uk/2134/19029","text":"External Repository"},{"id":316737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-14","publicationStatus":"PW","scienceBaseUri":"56bb1bd1e4b08d617f654e6f","contributors":{"authors":[{"text":"Poff, N LeRoy","contributorId":156377,"corporation":false,"usgs":false,"family":"Poff","given":"N LeRoy","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":597700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Casey M","contributorId":156378,"corporation":false,"usgs":false,"family":"Brown","given":"Casey","email":"","middleInitial":"M","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":597701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grantham, Theodore E. tgrantham@usgs.gov","contributorId":156376,"corporation":false,"usgs":true,"family":"Grantham","given":"Theodore","email":"tgrantham@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":597699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matthews, John H","contributorId":156379,"corporation":false,"usgs":false,"family":"Matthews","given":"John","email":"","middleInitial":"H","affiliations":[{"id":20334,"text":"Alliance for Global Water Adaptation","active":true,"usgs":false}],"preferred":false,"id":597702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmer, Margaret A.","contributorId":149194,"corporation":false,"usgs":false,"family":"Palmer","given":"Margaret","email":"","middleInitial":"A.","affiliations":[{"id":17669,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, US","active":true,"usgs":false}],"preferred":false,"id":597703,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spence, Caitlin M","contributorId":156380,"corporation":false,"usgs":false,"family":"Spence","given":"Caitlin","email":"","middleInitial":"M","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":597704,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilby, Robert L.","contributorId":101561,"corporation":false,"usgs":true,"family":"Wilby","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":597705,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haasnoot, Marjolijn","contributorId":156381,"corporation":false,"usgs":false,"family":"Haasnoot","given":"Marjolijn","email":"","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":597706,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mendoza, Guillermo F","contributorId":156382,"corporation":false,"usgs":false,"family":"Mendoza","given":"Guillermo F","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":597707,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dominique, Kathleen C","contributorId":156383,"corporation":false,"usgs":false,"family":"Dominique","given":"Kathleen","email":"","middleInitial":"C","affiliations":[{"id":20335,"text":"Organisation for Economic Co-operation and Development","active":true,"usgs":false}],"preferred":false,"id":597708,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baeza, Andres","contributorId":156384,"corporation":false,"usgs":false,"family":"Baeza","given":"Andres","email":"","affiliations":[{"id":20336,"text":"National Socio-Environmental Synthesis Center","active":true,"usgs":false}],"preferred":false,"id":597709,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70159606,"text":"70159606 - 2015 - Molecular tracing of confiscated pangolin scales for conservation and illegal trade monitoring in Southeast Asia","interactions":[],"lastModifiedDate":"2018-08-13T09:50:11","indexId":"70159606","displayToPublicDate":"2015-09-14T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Molecular tracing of confiscated pangolin scales for conservation and illegal trade monitoring in Southeast Asia","docAbstract":"Despite being protected by both international and national regulations, pangolins are threatened by illegal trade. Here we report mitochondrial DNA identification and haplotype richness estimation, using 239 pangolin scale samples from two confiscations in Hong Kong. We found a total of 13 genetically distinct cytochrome c oxidase I (COI) haplotypes in two confiscations (13 and ten haplotypes respectively, with ten shared haplotypes between confiscations). These haplotypes clustered in two distinct clades with one clade representing the Sunda pangolin (Manisjavanica). The other clade did not match with any known Asian pangolin sequences, and likely represented a cryptic pangolin lineage in Asia. By fitting sample coverage and rarefaction/regression models to our sample data, we predicted that the total number of COI haplotypes in two confiscations were 14.86 and 11.06 respectively, suggesting that our sampling caught the majority of haplotypes and that we had adequately characterized each confiscation. We detected substantial sequence divergence among the seized scales, likely evidencing that the Sunda pangolins were harvested over wide geographical areas across Southeast Asia. Our study illustrates the value of applying DNA forensics for illegal wildlife trade monitoring.
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Hong Kong SAR","active":true,"usgs":false}],"preferred":false,"id":579690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaubert, Philippe 0000-0002-1375-9935","orcid":"https://orcid.org/0000-0002-1375-9935","contributorId":149820,"corporation":false,"usgs":false,"family":"Gaubert","given":"Philippe","email":"","affiliations":[{"id":17834,"text":"Institut des Sciences de l'Evolution de Montpellier (ISEM) – UM2-CNRS-IRD, Université de Montpellier, Montpellier Cedex 05, France","active":true,"usgs":false}],"preferred":false,"id":579691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ades, Gary","contributorId":149821,"corporation":false,"usgs":false,"family":"Ades","given":"Gary","email":"","affiliations":[{"id":17833,"text":"Kadoorie Farm and Botanic Garden, Lam Kam Road, Tai Po, N.T. Hong Kong SAR","active":true,"usgs":false}],"preferred":false,"id":579692,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fischer, Gunter A.","contributorId":149822,"corporation":false,"usgs":false,"family":"Fischer","given":"Gunter","email":"","middleInitial":"A.","affiliations":[{"id":17833,"text":"Kadoorie Farm and Botanic Garden, Lam Kam Road, Tai Po, N.T. Hong Kong SAR","active":true,"usgs":false}],"preferred":false,"id":579693,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70160767,"text":"70160767 - 2015 - An examination of gender differences in the American Fisheries Society peer-review process","interactions":[],"lastModifiedDate":"2018-02-28T14:40:33","indexId":"70160767","displayToPublicDate":"2015-09-11T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"An examination of gender differences in the American Fisheries Society peer-review process","docAbstract":"This study investigated the possibility of gender differences in outcomes throughout the peer review process of American Fisheries Society (AFS) journals. For each manuscript submitted to four AFS journals between January 2003 and December 2010, we collated information regarding the gender and nationality of authors, gender of associate editor, gender of reviewers, reviewer recommendations, associate editor's decision, and publication status of the manuscript. We used hierarchical linear modeling to test for differences in manuscript decision outcomes associated with author, reviewer, and associate editor gender. Gender differences were present at some but not every stage of the review process and were not equal among the four journals. Although there was a small gender difference in decision outcomes, we found no evidence of bias in editors’ and reviewers’ recommendations. Our results support the conclusion that the current single-blind review system does not result in bias against female authors within AFS journals.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2015.1059824","collaboration":"Oberlin College; Auburn University; Carleton University (Canada); Illinois Natural History Survey","usgsCitation":"Handley, G., Frantz, C.M., Kocovsky, P., DeVries, D.R., Cooke, S., and Claussen, J., 2015, An examination of gender differences in the American Fisheries Society peer-review process: Fisheries, v. 40, no. 9, p. 442-451, https://doi.org/10.1080/03632415.2015.1059824.","productDescription":"10 p.","startPage":"442","endPage":"451","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056837","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-11","publicationStatus":"PW","scienceBaseUri":"56850e51e4b0a04ef49337d6","contributors":{"authors":[{"text":"Handley, Grace","contributorId":150971,"corporation":false,"usgs":false,"family":"Handley","given":"Grace","email":"","affiliations":[{"id":6707,"text":"Oberlin College","active":true,"usgs":false}],"preferred":false,"id":583821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frantz, Cynthia M","contributorId":150972,"corporation":false,"usgs":false,"family":"Frantz","given":"Cynthia","email":"","middleInitial":"M","affiliations":[{"id":6707,"text":"Oberlin College","active":true,"usgs":false}],"preferred":false,"id":583822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeVries, Dennis R.","contributorId":49678,"corporation":false,"usgs":true,"family":"DeVries","given":"Dennis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":583823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":583824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Claussen, Julie","contributorId":150973,"corporation":false,"usgs":false,"family":"Claussen","given":"Julie","affiliations":[{"id":12458,"text":"Illinois Natural History Survey, Lake Michigan Biological Station","active":true,"usgs":false}],"preferred":false,"id":583825,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70155942,"text":"sir20155113 - 2015 - Hydrogeology and simulation of groundwater flow in fractured-rock aquifers of the Piedmont and Blue Ridge Physiographic Provinces, Bedford County, Virginia","interactions":[],"lastModifiedDate":"2015-11-02T09:44:16","indexId":"sir20155113","displayToPublicDate":"2015-09-11T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5113","title":"Hydrogeology and simulation of groundwater flow in fractured-rock aquifers of the Piedmont and Blue Ridge Physiographic Provinces, Bedford County, Virginia","docAbstract":"An annual groundwater budget was computed as part of a hydrogeologic characterization and monitoring effort of fractured-rock aquifers in Bedford County, Virginia, a growing 764-square-mile (mi2) rural area between the cities of Roanoke and Lynchburg, Virginia. Data collection in Bedford County began in the 1930s when continuous stream gages were installed on Goose Creek and Big Otter River, the two major tributaries of the Roanoke River within the county. Between 2006 and 2014, an additional 2 stream gages, 3 groundwater monitoring wells, and 12 partial-record stream gages were operated. Hydrograph separation methods were used to compute base-flow recharge rates from the continuous data collected from the continuous stream gages. Mean annual base-flow recharge ranged from 8.3 inches per year (in/yr) for the period 1931–2012 at Goose Creek near Huddleston (drainage area 188 mi2) to 9.3 in/yr for the period 1938–2012 at Big Otter River near Evington (drainage area 315 mi2). Mean annual base-flow recharge was estimated to be 6.5 in/yr for the period 2007–2012 at Goose Creek at Route 747 near Bunker Hill (drainage area 125 mi2) and 8.9 in/yr for the period 2007–2012 at Big Otter River at Route 221 near Bedford (drainage area 114 mi2). Base-flow recharge computed from the partial-record data ranged from 5.0 in/yr in the headwaters of Goose Creek to 10.5 in/yr in the headwaters of Big Otter River.
\nA steady-state groundwater-flow simulation for Bedford County was developed to test the conceptual understanding of flow in the fractured-rock aquifers and to compute a groundwater budget for the four major drainages: James River, Smith Mountain and Leesville Lakes, Goose Creek, and Big Otter River. Model results indicate that groundwater levels mimic topography and that minimal differences in aquifer properties exist between the Proterozoic basement crystalline rocks and Late Proterozoic-Cambrian cover crystalline rocks. The Big Otter River receives 40.8 percent of the total daily groundwater outflow from fractured-rock aquifers in Bedford County; Goose Creek receives 25.8 percent, the James River receives 18.2 percent, and Smith Mountain and Leesville Lakes receive 15.2 percent. The remaining percentage of outflow is attributed to pumping from the aquifer (consumptive use).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155113","issn":"2328-031X","isbn":"978-1-4113-3965-1","usgsCitation":"McCoy, K.J., White, B.A., Yager, R.M., and Harlow, G.E., Jr., 2015, Hydrogeology and simulation of groundwater flow in fractured-rock aquifers of the Piedmont and Blue Ridge Physiographic Provinces, Bedford County, Virginia: U.S. Geological Survey Scientific Investigations Report 2015–5113, 54 p., https://dx.doi.org/10.3133/sir20155113.","productDescription":"viii, 54 p.","numberOfPages":"68","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039535","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":308064,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5113/sir20155113.pdf","text":"Report","size":"4.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5113"},{"id":308063,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5113/coverthb.jpg"}],"country":"United States","state":"Virginia","county":"Bedford County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.9365234375,\n 36.97622678464096\n ],\n [\n -79.9365234375,\n 37.666429212090605\n ],\n [\n -79.1015625,\n 37.666429212090605\n ],\n [\n -79.1015625,\n 36.97622678464096\n ],\n [\n -79.9365234375,\n 36.97622678464096\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228
http://va.water.usgs.gov/
Geographic information system (GIS) information may facilitate energy studies, which in turn provide input for energy policy decisions. The U.S. Geological Survey (USGS) has compiled GIS data representing coal mines, deposits (including those with and without coal mines), occurrences, areas, basins, and provinces of Mongolia as of 2009. These data are now available for download, and may be used in a GIS for a variety of energy resource and environmental studies of Mongolia. Chemical data for 37 coal samples from a previous USGS study of Mongolia (Tewalt and others, 2010) are included in a downloadable GIS point shapefile and shown on the map of Mongolia. A brief report summarizes the methodology used for creation of the shapefiles and the chemical analyses run on the samples.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151144","usgsCitation":"Trippi, M.H., and Belkin, H.E., comps., 2015, USGS compilation of geographic information system (GIS) data representing coal mines and coal-bearing areas of Mongolia: U.S. Geological Survey Open-File Report 2015–1144, 18 p., https://dx.doi.org/10.3133/ofr20151144.","productDescription":"Report: v, 18 p.; Metadata; Spatial data","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051260","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":307735,"rank":7,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-coal-deposits-metadata.html","text":"Mongolia Coal Deposits Metadata","size":"35.4 KB","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1144"},{"id":307731,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1144/coverthb.jpg"},{"id":307740,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-coal-areas-basins-provinces.zip","text":"Mongolia Coal Areas, Basins, and Provinces Shape Files","size":"203 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1144"},{"id":307732,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1144/ofr20151144.pdf","text":"Report","size":"4.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1144"},{"id":307733,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-allshapefiles-metadata.zip","text":"All Mongolia Shape Files and Metadata","size":"294 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1144"},{"id":307734,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-coal-areas-basins-provinces-metadata.html","text":"Mongolia Coal Areas, Basins, and Provinces Metadata","size":"20.9 KB","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1144"},{"id":307737,"rank":9,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-analytical-data-metadata.html","text":"Mongolia Anaytical Data Metadata","size":"100 KB","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1144"},{"id":307738,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-coal-deposits.zip","text":"Mongolia Coal Deposit Shape File","size":"24.6 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1144"},{"id":307739,"rank":8,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2015/1144/downloads/ofr20151144_mongolia-analytical-data.zip","text":"Mongolia Analytical Data Shape File","size":"43.6 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2015-1144"}],"country":"Mongolia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[87.75126,49.2972],[88.80557,49.47052],[90.71367,50.33181],[92.23471,50.80217],[93.10422,50.49529],[94.14757,50.48054],[94.81595,50.01343],[95.81403,49.97747],[97.25973,49.72606],[98.23176,50.4224],[97.82574,51.011],[98.86149,52.04737],[99.98173,51.63401],[100.88948,51.51686],[102.06522,51.25992],[102.25591,50.51056],[103.67655,50.08997],[104.62155,50.27533],[105.88659,50.40602],[106.8888,50.2743],[107.86818,49.79371],[108.47517,49.28255],[109.40245,49.29296],[110.66201,49.13013],[111.58123,49.37797],[112.89774,49.54357],[114.36246,50.2483],[114.96211,50.14025],[115.4857,49.80518],[116.6788,49.88853],[116.1918,49.1346],[115.48528,48.13538],[115.74284,47.72654],[116.30895,47.85341],[117.29551,47.69771],[118.06414,48.06673],[118.86657,47.74706],[119.77282,47.04806],[119.66327,46.69268],[118.87433,46.80541],[117.4217,46.67273],[116.71787,46.3882],[115.9851,45.72724],[114.46033,45.33982],[113.46391,44.80889],[112.43606,45.01165],[111.87331,45.10208],[111.34838,44.45744],[111.66774,44.07318],[111.82959,43.74312],[111.12968,43.40683],[110.4121,42.87123],[109.2436,42.51945],[107.74477,42.48152],[106.12932,42.13433],[104.96499,41.59741],[104.52228,41.90835],[103.31228,41.90747],[101.83304,42.51487],[100.84587,42.6638],[99.51582,42.52469],[97.45176,42.74889],[96.3494,42.72564],[95.76245,43.31945],[95.30688,44.24133],[94.68893,44.35233],[93.48073,44.97547],[92.13389,45.11508],[90.94554,45.28607],[90.58577,45.71972],[90.97081,46.88815],[90.28083,47.69355],[88.8543,48.06908],[88.01383,48.59946],[87.75126,49.2972]]]},\"properties\":{\"name\":\"Mongolia\"}}]}","contact":"Eastern Energy Resources Science Center
U.S. Geological Survey
954 National Center
12201 Sunrise Valley Drive
Reston, Virginia 20192
http://energy.usgs.gov/GeneralInfo/
ScienceCenters/Eastern.aspx
Subduction zone megathrust faults produce most of the world’s largest earthquakes. Although the physical properties of these faults are difficult to observe directly, their frictional strength can be estimated indirectly by constraining the orientations of the stresses that act on them. A global investigation of stress orientations in subduction zones finds that the maximum compressive stress axis plunges systematically trenchward, consistently making a 45°-60° angle to the subduction megathrust fault. These angles indicate that the megathrust fault is not substantially weaker than its surroundings. Together with several other lines of evidence, this implies that subduction zone megathrusts are weak faults in a low-stress environment. The deforming outer accretionary wedge may decouple the stress state along the megathrust from the constraints of the free surface.
","language":"English","publisher":"American Association for the Advancement of Science (AAAS)","doi":"10.1126/science.aac5625","usgsCitation":"Hardebeck, J.L., 2015, Stress orientations in subduction zones and the strength of subduction megathrust faults: Science, v. 349, no. 6253, p. 1213-1216, https://doi.org/10.1126/science.aac5625.","productDescription":"4 p.","startPage":"1213","endPage":"1216","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065720","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":308334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"349","issue":"6253","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56012aa9e4b03bc34f544430","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":572206,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}