A hydrogeologic framework of the South Fork (SF) Nooksack River Basin in northwestern Washington was developed and hydrologic data were collected to characterize the groundwater-flow system and its interaction with surface‑water features. In addition to domestic, agricultural, and commercial uses of groundwater within the SF Nooksack River Basin, groundwater has the potential to provide ecological benefits by maintaining late-summer streamflows and buffering stream temperatures. Cold-water refugia, created and maintained in part by groundwater, have been identified by water-resource managers as key elements to restore the health and viability of threatened salmonids in the SF Nooksack River. The SF Nooksack River drains a 183-square mile area of the North Cascades and the Puget Lowland underlain by unconsolidated glacial and alluvial sediments deposited over older sedimentary, metamorphic, and igneous bedrock. The primary aquifer that interacts with the SF Nooksack River was mapped within unconsolidated glacial outwash and alluvial sediment. The lower extent of this unit is bounded by bedrock and fine-grained, poorly sorted unconsolidated glaciomarine and glaciolacustrine sediments. In places, these deposits overlie and confine an aquifer within older glacial sediments. The extent and thickness of the hydrogeologic units were assembled from mapped geologic units and lithostratigraphic logs of field-inventoried wells. Generalized groundwater-flow directions within the surficial aquifer were interpreted from groundwater levels measured in August 2012; and groundwater seepage gains and losses to the SF Nooksack River were calculated from synoptic streamflow measurements made in the SF Nooksack River and its tributaries in September 2012. A subset of the field-inventoried wells was measured at a monthly interval to determine seasonal fluctuations in groundwater levels during water year 2013. Taken together, these data provide the foundation for a future groundwater-flow model of the SF Nooksack River Basin that may be used to investigate the potential effects of future climate change, land use, and groundwater pumping on water resources in the study area. Site-specific hydrologic data, including time series of longitudinal temperature profiles measured with a fiber-optic distributed temperature sensor and continuous monitoring of stream stage and water levels measured in wells in adjacent wetlands and aquifers, also were measured to characterize the interaction among the SF Nooksack River, surficial aquifers, and riparian wetlands.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145221","collaboration":"Prepared in cooperation with the Nooksack Indian Tribe","usgsCitation":"Gendaszek, A.S., 2014, Hydrogeologic framework and groundwater/surface-water interactions of the South Fork Nooksack River Basin, northwestern Washington: U.S. Geological Survey Scientific Investigations Report 2014-5221, Report: vi, 36 p.; 2 Plates: 20.04 x 14.65 inches and 29.76 x 15 inches, https://doi.org/10.3133/sir20145221.","productDescription":"Report: vi, 36 p.; 2 Plates: 20.04 x 14.65 inches and 29.76 x 15 inches","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059387","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":296559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145221.jpg"},{"id":296556,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5221/pdf/sir2014-5221.pdf","size":"5.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296557,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5221/downloads/sir2014-5221_plate1.pdf","text":"Plate 1","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296558,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2014/5221/downloads/sir2014-5221_plate2.pdf","text":"Plate 2","size":"1.0 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296553,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5221/"}],"country":"United States","state":"Washington","otherGeospatial":"South Fork Noooksack River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.640625,\n 48.58932584966972\n ],\n [\n -121.6845703125,\n 48.09275716032736\n ],\n [\n -120.38818359375,\n 48.09275716032736\n ],\n [\n -120.43212890625,\n 48.58932584966972\n ],\n [\n -121.640625,\n 48.58932584966972\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54896eb4e4b027aeab78127e","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526863,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70133043,"text":"sir20145205 - 2014 - Water quality in Indiana: trends in concentrations of selected nutrients, metals, and ions in streams, 2000-10","interactions":[],"lastModifiedDate":"2014-12-10T10:23:15","indexId":"sir20145205","displayToPublicDate":"2014-12-10T10:00:00","publicationYear":"2014","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":"2014-5205","title":"Water quality in Indiana: trends in concentrations of selected nutrients, metals, and ions in streams, 2000-10","docAbstract":"Water quality in Indiana streams generally improved during the 2000–10 study period, based on trends in selected nutrients, metals, and ions. This study combined water-quality data from the Indiana Fixed Station Monitoring Program (FSMP) with streamflow data from nearby U.S. Geological Survey streamgages. A parametric time-series model, QWTREND, was used to develop streamflow-adjusted constituent concentrations, to adjust for seasonal variance and serial correlation, and to identify trends independent of streamflow-related variability. This study examined 7,345 water samples from 57 FSMP sites for 11 years. Concentration trends were analyzed for 12 constituents—the nutrients nitrate, organic nitrogen, and phosphorus; suspended solids; the metals copper, iron, lead, and zinc; the ions chloride, and sulfate together with hardness as a measure of the calcium carbonate ion; and dissolved solids.
\n\n
Nutrient concentrations in this study generally were too high relative to standards and criteria. The national recommended criteria for the three ecoregions in Indiana were exceeded by more than one-half of the nitrate and most of the phosphorus concentrations. Copper, lead, zinc, chloride, sulfate, and dissolved solids concentrations were in acceptable ranges relative to standards and criteria in more than 97 percent of samples. The two Lake Michigan Basin sites had the highest concentrations and were in a unique statistical group for 10 of the 12 constituents, with concentrations many times higher than the statewide median and higher than the medians of most other basins. The two Ohio River Basin sites had the lowest concentrations and were in a unique statistical group for 6 of the 12 constituents.
\n\n
Statistically significant trends were identified that included 167 downward trends and 83 upward trends. The Kankakee River Basin had the most significant upward trends while the most significant downward trends were in the Whitewater River Basin, the Lake Michigan Basin, and the Patoka River Basin. For most constituents, a majority of sites had significant downward trends. Two streams in the Lake Michigan Basin have shown substantial decreases in most constituents. The West Fork White River near Indianapolis, Indiana, showed increases in nitrate and phosphorus and the Kankakee River Basin showed increases in copper, zinc, chloride, sulfate, and hardness. Upward trends in nutrients were identified at a few sites, but most nutrient trends were downward. Upward trends in metals corresponded with relatively small concentration increases while downward trends involved considerably larger concentration changes. Downward trends in chloride, sulfate, and suspended solids were observed statewide, but upward trends in hardness were observed in the northern half of Indiana.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145205","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management.","usgsCitation":"Risch, M.R., Bunch, A.R., Vecchia, A.V., Martin, J.D., and Baker, N.T., 2014, Water quality in Indiana: trends in concentrations of selected nutrients, metals, and ions in streams, 2000-10: U.S. Geological Survey Scientific Investigations Report 2014-5205, vi, 47 p., https://doi.org/10.3133/sir20145205.","productDescription":"vi, 47 p.","numberOfPages":"58","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2000-01-01","ipdsId":"IP-054301","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":296571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145205.jpg"},{"id":296554,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5205/"},{"id":296555,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5205/pdf/sir2014-5205.pdf","size":"20.7 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Indiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5390625,\n 41.83682786072714\n ],\n [\n -84.57275390625,\n 41.85319643776675\n ],\n [\n -84.66064453125,\n 38.839707613545144\n ],\n [\n -86.2646484375,\n 37.666429212090605\n ],\n [\n -88.41796875,\n 37.80544394934274\n ],\n [\n -87.78076171875,\n 38.94232097947902\n ],\n [\n -87.5390625,\n 41.83682786072714\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54896eb8e4b027aeab78128c","contributors":{"authors":[{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":524256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":524257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vecchia, Aldo V. 0000-0002-2661-4401 avecchia@usgs.gov","orcid":"https://orcid.org/0000-0002-2661-4401","contributorId":1173,"corporation":false,"usgs":true,"family":"Vecchia","given":"Aldo","email":"avecchia@usgs.gov","middleInitial":"V.","affiliations":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":524258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Jeffrey D. 0000-0003-1994-5285 jdmartin@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-5285","contributorId":1066,"corporation":false,"usgs":true,"family":"Martin","given":"Jeffrey","email":"jdmartin@usgs.gov","middleInitial":"D.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":524259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, Nancy T. 0000-0002-7979-5744 ntbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":1955,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"ntbaker@usgs.gov","middleInitial":"T.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":524260,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70168862,"text":"70168862 - 2014 - Small crater modification on Meridiani Planum and implications for erosion rates and climate change on Mars","interactions":[],"lastModifiedDate":"2017-05-18T11:35:58","indexId":"70168862","displayToPublicDate":"2014-12-10T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Small crater modification on Meridiani Planum and implications for erosion rates and climate change on Mars","docAbstract":"A morphometric and morphologic catalog of ~100 small craters imaged by the Opportunity rover over the 33.5 km traverse between Eagle and Endeavour craters on Meridiani Planum shows craters in six stages of degradation that range from fresh and blocky to eroded and shallow depressions ringed by planed off rim blocks. The age of each morphologic class from <50–200 ka to ~20 Ma has been determined from the size-frequency distribution of craters in the catalog, the retention age of small craters on Meridiani Planum, and the age of the latest phase of ripple migration. The rate of degradation of the craters has been determined from crater depth, rim height, and ejecta removal over the class age. These rates show a rapid decrease from ~1 m/Myr for craters <1 Ma to ~ <0.1 m/Myr for craters 10–20 Ma, which can be explained by topographic diffusion with modeled diffusivities of ~10−6 m2/yr. In contrast to these relatively fast, short-term erosion rates, previously estimated average erosion rates on Mars over ~100 Myr and 3 Gyr timescales from the Amazonian and Hesperian are of order <0.01 m/Myr, which is 3–4 orders of magnitude slower than typical terrestrial rates. Erosion rates during the Middle-Late Noachian averaged over ~250 Myr, and ~700 Myr intervals are around 1 m/Myr, comparable to slow terrestrial erosion rates calculated over similar timescales. This argues for a wet climate before ~3 Ga in which liquid water was the erosional agent, followed by a dry environment dominated by slow eolian erosion.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JE004658","usgsCitation":"Golombek, M., Warner, N., Ganti, V., Lamb, M., Parker, T.J., Fergason, R.L., and Sullivan, R., 2014, Small crater modification on Meridiani Planum and implications for erosion rates and climate change on Mars: Journal of Geophysical Research E: Planets, v. 119, no. 12, p. 2522-2547, https://doi.org/10.1002/2014JE004658.","productDescription":"26 p.","startPage":"2522","endPage":"2547","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056075","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":472582,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20181127-133838350","text":"External Repository"},{"id":318698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-10","publicationStatus":"PW","scienceBaseUri":"56e005ece4b015c306fd0f8f","contributors":{"authors":[{"text":"Golombek, M.P.","contributorId":52696,"corporation":false,"usgs":true,"family":"Golombek","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":622008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, N.H.","contributorId":167363,"corporation":false,"usgs":false,"family":"Warner","given":"N.H.","email":"","affiliations":[{"id":24701,"text":"JPL, SUNY Geneseo","active":true,"usgs":false}],"preferred":false,"id":622009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ganti, V.","contributorId":167364,"corporation":false,"usgs":false,"family":"Ganti","given":"V.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":622010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamb, M.P.","contributorId":167365,"corporation":false,"usgs":false,"family":"Lamb","given":"M.P.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":622011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parker, T. J.","contributorId":30776,"corporation":false,"usgs":false,"family":"Parker","given":"T.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":622012,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fergason, Robin L. 0000-0002-2044-1714 rfergason@usgs.gov","orcid":"https://orcid.org/0000-0002-2044-1714","contributorId":2753,"corporation":false,"usgs":true,"family":"Fergason","given":"Robin","email":"rfergason@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":622007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sullivan, R.","contributorId":63134,"corporation":false,"usgs":true,"family":"Sullivan","given":"R.","affiliations":[],"preferred":false,"id":622013,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70141676,"text":"70141676 - 2014 - Distance to human populations influences epidemiology of respiratory disease in desert tortoises","interactions":[],"lastModifiedDate":"2015-02-23T10:00:27","indexId":"70141676","displayToPublicDate":"2014-12-09T11:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Distance to human populations influences epidemiology of respiratory disease in desert tortoises","docAbstract":"We explored variables likely to affect health of Agassiz's desert tortoises (Gopherus agassizii) in a 1,183-km2 study area in the central Mojave Desert of California between 2005 and 2008. We evaluated 1,004 tortoises for prevalence and spatial distribution of 2 pathogens, Mycoplasma agassizii and M. testudineum, that cause upper respiratory tract disease. We defined tortoises as test-positive if they were positive by culture and/or DNA identification or positive or suspect for specific antibody for either of the two pathogens. We used covariates of habitat (vegetation, elevation, slope, and aspect), tortoise size and sex, distance from another test-positive tortoise, and anthropogenic variables (distances to roads, agricultural areas, playas, urban areas, and centroids of human-populated census blocks). We used both logistic regression models and regression trees to evaluate the 2 species of Mycoplasma separately. The prevalence of test-positive tortoises was low: 1.49% (15/1,004) for M. agassizii and 2.89% (29/1,004) for M. testudineum. The spatial distributions of test-positive tortoises for the 2 Mycoplasma species showed little overlap; only 2 tortoises were test-positive for both diseases. However, the spatial distributions did not differ statistically between the 2 species. We consistently found higher prevalence of test-positive tortoises with shorter distances to centroids of human-populated census blocks. The relationship between distance to human-populated census blocks and tortoises that are test-positive for M. agassizii and potentially M. testudineum may be related to release or escape of captive tortoises because the prevalence of M. agassizii in captive tortoises is high. Our findings have application to other species of chelonians where both domestic captive and wild populations exist. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/jwmg.816","usgsCitation":"Berry, K.H., Ashley A. Coble, N.L., Yee, J.L., Mack, J.S., Perry, W.M., Anderson, K.M., and Brown, M., 2014, Distance to human populations influences epidemiology of respiratory disease in desert tortoises: Journal of Wildlife Management, v. 79, no. 1, p. 122-136, https://doi.org/10.1002/jwmg.816.","productDescription":"15 p.","startPage":"122","endPage":"136","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041653","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":298099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-09","publicationStatus":"PW","scienceBaseUri":"54ec5d40e4b02d776a67daa3","contributors":{"authors":[{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashley A. Coble, no longer USGS","contributorId":139381,"corporation":false,"usgs":false,"family":"Ashley A. Coble","given":"no","email":"","middleInitial":"longer USGS","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":540976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, Jeremy S. jmack@usgs.gov","contributorId":3851,"corporation":false,"usgs":true,"family":"Mack","given":"Jeremy","email":"jmack@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perry, William M. 0000-0002-6180-8180 wmperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6180-8180","contributorId":5124,"corporation":false,"usgs":true,"family":"Perry","given":"William","email":"wmperry@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":540975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Kemp M.","contributorId":139382,"corporation":false,"usgs":false,"family":"Anderson","given":"Kemp","email":"","middleInitial":"M.","affiliations":[{"id":12757,"text":"Seal Beach, California 90740","active":true,"usgs":false}],"preferred":false,"id":540977,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Mary B.","contributorId":48072,"corporation":false,"usgs":false,"family":"Brown","given":"Mary B.","affiliations":[],"preferred":false,"id":540978,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70126552,"text":"sir20105090S - 2014 - Potash: a global overview of evaporate-related potash resources, including spatial databases of deposits, occurrences, and permissive tracts","interactions":[{"subject":{"id":70126552,"text":"sir20105090S - 2014 - Potash: a global overview of evaporate-related potash resources, including spatial databases of deposits, occurrences, and permissive tracts","indexId":"sir20105090S","publicationYear":"2014","noYear":false,"chapter":"S","title":"Potash: a global overview of evaporate-related potash resources, including spatial databases of deposits, occurrences, and permissive tracts"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2020-07-01T19:10:12.017712","indexId":"sir20105090S","displayToPublicDate":"2014-12-09T10:15:00","publicationYear":"2014","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":"2010-5090","chapter":"S","title":"Potash: a global overview of evaporate-related potash resources, including spatial databases of deposits, occurrences, and permissive tracts","docAbstract":"Potash is mined worldwide to provide potassium, an essential nutrient for food crops. Evaporite-hosted potash deposits are the largest source of salts that contain potassium in water-soluble form, including potassium chloride, potassium-magnesium chloride, potassium sulfate, and potassium nitrate. Thick sections of evaporitic salt that form laterally continuous strata in sedimentary evaporite basins are the most common host for stratabound and halokinetic potash-bearing salt deposits. Potash-bearing basins may host tens of millions to more than 100 billion metric tons of potassium oxide (K2O). Examples of these deposits include those in the Elk Point Basin in Canada, the Pripyat Basin in Belarus, the Solikamsk Basin in Russia, and the Zechstein Basin in Germany.
\nThis report describes a global, evaporite-related potash deposits and occurrences database and a potash tracts database. Chapter 1 summarizes potash resource history and use. Chapter 2 describes a global potash deposits and occurrences database, which contains more than 900 site records. Chapter 3 describes a potash tracts database, which contains 84 tracts with geology permissive for the presence of evaporite-hosted potash resources, including areas with active evaporite-related potash production, areas with known mineralization that has not been quantified or exploited, and areas with potential for undiscovered potash resources. Chapter 4 describes geographic information system (GIS) data files that include (1) potash deposits and occurrences data, (2) potash tract data, (3) reference databases for potash deposit and tract data, and (4) representative graphics of geologic features related to potash tracts and deposits. Summary descriptive models for stratabound potash-bearing salt and halokinetic potash-bearing salt are included in appendixes A and B, respectively. A glossary of salt- and potash-related terms is contained in appendix C and a list of database abbreviations is given in appendix D. Appendix E describes GIS data files, and appendix F is a guide to using the geodatabase.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090S","collaboration":"Prepared in cooperation with the Saskatchewan Geological Survey, the Polish Geological Institute, the Nova Scotia Department of Natural Resources, the Bureau de Recherches Géologiques et Minières, the Bundesanstalt für Geowissenschften und Rohstoffe, and the Coordinating Committee for Geoscience Programmes in East and Southeast Asia.","usgsCitation":"Orris, G.J., Cocker, M.D., Dunlap, P., Wynn, J.C., Spanski, G.T., Briggs, D.A., Gass, L., Bliss, J.D., Bolm, K.S., Yang, C., Lipin, B.R., Ludington, S., Miller, R.J., and Slowakiewicz, M., 2014, Potash: a global overview of evaporate-related potash resources, including spatial databases of deposits, occurrences, and permissive tracts: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: vi, 76 p.; Readme; 3 GIS Packages, https://doi.org/10.3133/sir20105090S.","productDescription":"Report: vi, 76 p.; Readme; 3 GIS Packages","numberOfPages":"84","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026566","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":296498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105090s.gif"},{"id":301211,"rank":6,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/s/"},{"id":296497,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sir/2010/5090/s/PotashXL.zip","text":"GIS Package","size":"600 kB","linkHelpText":"Contains: database in Excel format."},{"id":296495,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sir/2010/5090/s/PotashGIS.zip","text":"GIS Package","size":"75 MB","linkHelpText":"Contains: geospatial database in Arc GIS format"},{"id":296494,"rank":2,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2010/5090/s/1_readme.txt","size":"16 kB"},{"id":296493,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/s/pdf/sir2010-5090-S.pdf","text":"Report","size":"7.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296496,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sir/2010/5090/s/PotashKML.zip","text":"GIS Package","size":"6 MB","linkHelpText":"Contains: geospatial database in KML format."}],"publicComments":"This report is Chapter S in Global mineral resource assessment. For more information, see: Scientific Investigations Report 2010-5090.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54881d2ee4b02acb4f0c8c14","contributors":{"authors":[{"text":"Orris, Greta J. 0000-0002-2340-9955 greta@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-9955","contributorId":3472,"corporation":false,"usgs":true,"family":"Orris","given":"Greta","email":"greta@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":526682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cocker, Mark D. 0000-0001-9435-5862 mcocker@usgs.gov","orcid":"https://orcid.org/0000-0001-9435-5862","contributorId":4297,"corporation":false,"usgs":true,"family":"Cocker","given":"Mark","email":"mcocker@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":526683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunlap, Pamela","contributorId":127771,"corporation":false,"usgs":false,"family":"Dunlap","given":"Pamela","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. 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Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":526684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spanski, Gregory T.","contributorId":43806,"corporation":false,"usgs":true,"family":"Spanski","given":"Gregory","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":526686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Briggs, Deborah A. dbriggs@usgs.gov","contributorId":5722,"corporation":false,"usgs":true,"family":"Briggs","given":"Deborah","email":"dbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":526687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gass, Leila 0000-0002-3436-262X lgass@usgs.gov","orcid":"https://orcid.org/0000-0002-3436-262X","contributorId":3770,"corporation":false,"usgs":true,"family":"Gass","given":"Leila","email":"lgass@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":526688,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bliss, James D. jbliss@usgs.gov","contributorId":2790,"corporation":false,"usgs":true,"family":"Bliss","given":"James","email":"jbliss@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":526689,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bolm, Karen S.","contributorId":127772,"corporation":false,"usgs":false,"family":"Bolm","given":"Karen","email":"","middleInitial":"S.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":false,"id":526690,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yang, Chao","contributorId":119386,"corporation":false,"usgs":true,"family":"Yang","given":"Chao","email":"","affiliations":[],"preferred":false,"id":526691,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lipin, Bruce R. blipin@usgs.gov","contributorId":5723,"corporation":false,"usgs":true,"family":"Lipin","given":"Bruce","email":"blipin@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":526692,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ludington, Stephen slud@usgs.gov","contributorId":3093,"corporation":false,"usgs":true,"family":"Ludington","given":"Stephen","email":"slud@usgs.gov","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":526693,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Miller, Robert J. rjmiller@usgs.gov","contributorId":2516,"corporation":false,"usgs":true,"family":"Miller","given":"Robert","email":"rjmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":526694,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Slowakiewicz, Miroslaw","contributorId":117008,"corporation":false,"usgs":true,"family":"Slowakiewicz","given":"Miroslaw","email":"","affiliations":[],"preferred":false,"id":526695,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70134510,"text":"ofr20141203 - 2014 - Maps showing bathymetry and modern sediment thickness on the inner continental shelf offshore of Fire Island, New York, pre-Hurricane Sandy","interactions":[],"lastModifiedDate":"2014-12-04T09:59:13","indexId":"ofr20141203","displayToPublicDate":"2014-12-04T10:00:00","publicationYear":"2014","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":"2014-1203","title":"Maps showing bathymetry and modern sediment thickness on the inner continental shelf offshore of Fire Island, New York, pre-Hurricane Sandy","docAbstract":"The U.S. Geological Survey mapped approximately 336 square kilometers of the lower shoreface and inner continental shelf offshore of Fire Island, New York, in 2011 by using interferometric sonar and high-resolution chirp seismic-reflection systems. This report presents maps of bathymetry, acoustic backscatter, the coastal plain unconformity, the Holocene marine transgressive surface, and modern sediment thickness. These spatial data support research on the Quaternary evolution of the Fire Island coastal system and provide baseline information for research on coastal processes along southern Long Island.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141203","usgsCitation":"Schwab, W.C., Denny, J.F., and Baldwin, W.E., 2014, Maps showing bathymetry and modern sediment thickness on the inner continental shelf offshore of Fire Island, New York, pre-Hurricane Sandy: U.S. Geological Survey Open-File Report 2014-1203, HTML Document, https://doi.org/10.3133/ofr20141203.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057128","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":296430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141203.jpg"},{"id":296408,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1203/"},{"id":296428,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1203/ofr2014-1203-title_page.html","size":"130 KB","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mercator, Zone 18N","datum":"World Geodetic System 1984","country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.32824707031249,\n 40.63896734381723\n ],\n [\n -72.77206420898438,\n 40.775341832372696\n ],\n [\n -72.7130126953125,\n 40.626982205446545\n ],\n [\n -73.2733154296875,\n 40.50335790374529\n ],\n [\n -73.32824707031249,\n 40.63896734381723\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"548185b0e4b0aa6d778520dc","contributors":{"authors":[{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denny, Jane F. 0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Wayne E. 0000-0001-5886-0917 wbaldwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5886-0917","contributorId":1321,"corporation":false,"usgs":true,"family":"Baldwin","given":"Wayne","email":"wbaldwin@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70131497,"text":"70131497 - 2014 - Gravity changes and deformation at Kīlauea Volcano, Hawaii, associated with summit eruptive activity, 2009-2012","interactions":[],"lastModifiedDate":"2019-02-25T13:28:32","indexId":"70131497","displayToPublicDate":"2014-12-03T14:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Gravity changes and deformation at Kīlauea Volcano, Hawaii, associated with summit eruptive activity, 2009-2012","docAbstract":"Analysis of microgravity and surface displacement data collected at the summit of Kīlauea Volcano, Hawaii (USA), between December 2009 and November 2012 suggests a net mass accumulation at ~1.5 km depth beneath the northeast margin of Halema‘uma‘u Crater, within Kīlauea Caldera. Although residual gravity increases and decreases are accompanied by periods of uplift and subsidence of the surface, respectively, the volume change inferred from the modeling of interferometric synthetic aperture radar deformation data can account for only a small portion (as low as 8%) of the mass addition responsible for the gravity increase. We propose that since the opening of a new eruptive vent at the summit of Kīlauea in 2008, magma rising to the surface of the lava lake outgasses, becomes denser, and sinks to deeper levels, replacing less dense gas-rich magma stored in the Halema‘uma‘u magma reservoir. In fact, a relatively small density increase (<200 kg m−3) of a portion of the reservoir can produce the positive residual gravity change measured during the period with the largest mass increase, between March 2011 and November 2012. Other mechanisms may also play a role in the gravity increase without producing significant uplift of the surface, including compressibility of magma, formation of olivine cumulates, and filling of void space by magma. The rate of gravity increase, higher than during previous decades, varies through time and seems to be directly correlated with the volcanic activity occurring at both the summit and the east rift zone of the volcano.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2014JB011506","usgsCitation":"Bagnardi, M., Poland, M., Carbone, D., Baker, S., Battaglia, M., and Amelung, F., 2014, Gravity changes and deformation at Kīlauea Volcano, Hawaii, associated with summit eruptive activity, 2009-2012: Journal of Geophysical Research, v. 119, no. 9, p. 7288-7305, https://doi.org/10.1002/2014JB011506.","productDescription":"18 p.","startPage":"7288","endPage":"7305","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052892","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472589,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011506","text":"Publisher Index Page"},{"id":296418,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.29449462890622,\n 19.43616185591159\n ],\n [\n -155.2333831787109,\n 19.439399401246273\n ],\n [\n -155.2333831787109,\n 19.406373411096297\n ],\n [\n -155.291748046875,\n 19.40443049681278\n ],\n [\n -155.29449462890622,\n 19.43616185591159\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"119","issue":"9","noUsgsAuthors":false,"publicationDate":"2014-09-12","publicationStatus":"PW","scienceBaseUri":"54802619e4b0ac64d148dcd0","contributors":{"authors":[{"text":"Bagnardi, Marco","contributorId":124560,"corporation":false,"usgs":false,"family":"Bagnardi","given":"Marco","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":521307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":521306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carbone, Daniele","contributorId":124561,"corporation":false,"usgs":false,"family":"Carbone","given":"Daniele","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":521308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, Scott","contributorId":124562,"corporation":false,"usgs":false,"family":"Baker","given":"Scott","email":"","affiliations":[{"id":5114,"text":"UNAVCO","active":true,"usgs":false}],"preferred":false,"id":521309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Battaglia, Maurizio mbattaglia@usgs.gov","contributorId":2526,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":521310,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amelung, Falk","contributorId":124563,"corporation":false,"usgs":false,"family":"Amelung","given":"Falk","email":"","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":521311,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70134555,"text":"70134555 - 2014 - Shifts in plant functional types have time-dependent and regionally variable impacts on dryland ecosystem water balance","interactions":[],"lastModifiedDate":"2014-12-03T14:16:08","indexId":"70134555","displayToPublicDate":"2014-12-03T13:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Shifts in plant functional types have time-dependent and regionally variable impacts on dryland ecosystem water balance","docAbstract":"Summary
\n1. Terrestrial vegetation influences hydrologic cycling. In water-limited, dryland ecosystems, altered ecohydrology as a consequence of vegetation change can impact vegetation structure, ecological functioning and ecosystem services. Shrub steppe ecosystems dominated by big sagebrush (Artemisia tridentata) are widespread across western North America, and provide a range of ecosystem services. While sagebrush abundance in these ecosystems has been altered over the past century, and changes are likely to continue, the ecohydrological consequences of sagebrush removal and reestablishment remain unclear.
\n2. To characterize the immediate and medium-term patterns of water cycling and availability following sagebrush plant community alteration, we applied the SOILWAT ecosystem water balance model to 898 sites across the distribution of sagebrush ecosystems, representing the three primary sagebrush ecosystem types: sagebrush shrublands, sagebrush steppe and montane sagebrush. At each site, we examined three vegetation conditions representing intact sagebrush, recently disturbed sagebrush and recovered but grass-dominated vegetation.
\n3. Transition from shrub to grass dominance decreased precipitation interception and transpiration and increased soil evaporation and deep drainage. Relative to intact sagebrush vegetation, simulated soils in the herbaceous vegetation phases typically had drier surface layers and wetter deep layers.
\n4. Our simulations suggested that alterations in ecosystem water balance may be most pronounced in vegetation representing recently disturbed conditions (herbaceous vegetation with low biomass) and only modest in conditions representing recovered, but still grass-dominated vegetation. Furthermore, the ecohydrological impact of simulated sagebrush removal depended on climate; while short-term changes in water balance were greatest in wet areas represented by the montane sagebrush ecosystem type, medium-term impacts were greatest in dry areas of sagebrush shrublands and sagebrush steppe.
\n5. Synthesis. This study provides a novel, regional-scale assessment of how plant functional type transitions may impact ecosystem water balance in sagebrush-dominated ecosystems of North America. Results illustrate that the ecohydrological consequences of changing vegetation depend strongly on climate and suggest that decreasing woody plant abundance may have only limited impact on evapotranspiration and water yield.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.12289","usgsCitation":"Bradford, J.B., Schlaepfer, D., Lauenroth, W.K., and Burke, I.C., 2014, Shifts in plant functional types have time-dependent and regionally variable impacts on dryland ecosystem water balance: Journal of Ecology, v. 102, no. 6, p. 1408-1418, https://doi.org/10.1111/1365-2745.12289.","productDescription":"11 p.","startPage":"1408","endPage":"1418","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054679","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472590,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.12289","text":"Publisher Index Page"},{"id":296416,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","issue":"6","noUsgsAuthors":false,"publicationDate":"2014-10-24","publicationStatus":"PW","scienceBaseUri":"5480261be4b0ac64d148dcdc","contributors":{"authors":[{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":526160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":526161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":526162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burke, Ingrid C.","contributorId":127653,"corporation":false,"usgs":false,"family":"Burke","given":"Ingrid","email":"","middleInitial":"C.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":526163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70134556,"text":"70134556 - 2014 - Storm-surge flooding on the Yukon-Kuskokwim Delta, Alaska","interactions":[],"lastModifiedDate":"2014-12-04T09:22:45","indexId":"70134556","displayToPublicDate":"2014-12-03T13:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Storm-surge flooding on the Yukon-Kuskokwim Delta, Alaska","docAbstract":"Coastal regions of Alaska are regularly affected by intense storms of ocean origin, the frequency and intensity of which are expected to increase as a result of global climate change. The Yukon-Kuskokwim Delta (YKD), situated in western Alaska on the eastern edge of the Bering Sea, is one of the largest deltaic systems in North America. Its low relief makes it especially susceptible to storm-driven flood tides and increases in sea level. Little information exists on the extent of flooding caused by storm surges in western Alaska and its effects on salinization, shoreline erosion, permafrost thaw, vegetation, wildlife, and the subsistence-based economy. In this paper, we summarize storm flooding events in the Bering Sea region of western Alaska during 1913 – 2011 and map both the extent of inland flooding caused by autumn storms on the central YKD, using Radarsat-1 and MODIS satellite imagery, and the drift lines, using high-resolution IKONOS satellite imagery and field surveys. The largest storm surges occurred in autumn and were associated with high tides and strong (> 65 km hr-1) southwest winds. Maximum inland extent of flooding from storm surges was 30.3 km in 2005, 27.4 km in 2006, and 32.3 km in 2011, with total flood area covering 47.1%, 32.5%, and 39.4% of the 6730 km2 study area, respectively. Peak stages for the 2005 and 2011 storms were 3.1 m and 3.3 m above mean sea level, respectively—almost as high as the 3.5 m amsl elevation estimated for the largest storm observed (in November 1974). Several historically abandoned village sites lie within the area of inundation of the largest flood events. With projected sea level rise, large storms are expected to become more frequent and cover larger areas, with deleterious effects on freshwater ponds, non-saline habitats, permafrost, and landscapes used by nesting birds and local people.
","language":"English","publisher":"Arctic Institute of North America","doi":"10.14430/arctic4403","usgsCitation":"Terenzi, J., Ely, C.R., and Jorgenson, M., 2014, Storm-surge flooding on the Yukon-Kuskokwim Delta, Alaska: Arctic, v. 67, no. 3, p. 360-374, https://doi.org/10.14430/arctic4403.","productDescription":"15 p.","startPage":"360","endPage":"374","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049144","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472591,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic4403","text":"Publisher Index Page"},{"id":296415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.328125,\n 71.63599288330606\n ],\n [\n -141.6796875,\n 58.81374171570782\n ],\n [\n -178.2421875,\n 50.62507306341435\n ],\n [\n -165.76171875,\n 71.69129271863999\n ],\n [\n -141.328125,\n 71.63599288330606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-09-09","publicationStatus":"PW","scienceBaseUri":"5480261ce4b0ac64d148dce0","contributors":{"authors":[{"text":"Terenzi, John jterenzi@usgs.gov","contributorId":5085,"corporation":false,"usgs":true,"family":"Terenzi","given":"John","email":"jterenzi@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":526164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jorgenson, M. Torre","contributorId":34848,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M. Torre","affiliations":[],"preferred":false,"id":526270,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134575,"text":"70134575 - 2014 - Occupancy of yellow-billed and Pacific loons: evidence for interspecific competition and habitat mediated co-occurrence","interactions":[],"lastModifiedDate":"2014-12-03T16:16:55","indexId":"70134575","displayToPublicDate":"2014-12-03T12:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy of yellow-billed and Pacific loons: evidence for interspecific competition and habitat mediated co-occurrence","docAbstract":"Interspecific competition is an important process structuring ecological communities, however, it is difficult to observe in nature. We used an occupancy modelling approach to evaluate evidence of competition between yellow-billed (Gavia adamsii) and Pacific (G. pacifica) loons for nesting lakes on the Arctic Coastal Plain of Alaska. With multiple years of data and survey platforms, we estimated dynamic occupancy states (e.g. rates of colonization or extinction from individual lakes) and controlled for detection differences among aircraft platforms and ground survey crews. Results indicated that yellow-billed loons were strong competitors and negatively influenced the occupancy of Pacific loons by excluding them from potential breeding lakes. Pacific loon occupancy was conditional on the presence of yellow-billed loons, with Pacific loons having almost a tenfold decrease in occupancy probability when yellow-billed loons were present and a threefold decrease in colonization probability when yellow-billed loons were present in the current or previous year. Yellow-billed and Pacific loons co-occurred less than expected by chance except on very large lakes or lakes with convoluted shorelines; variables which may decrease the cost of maintaining a territory in the presence of the other species. These results imply the existence of interspecific competition between yellow-billed and Pacific loons for nesting lakes; however, habitat characteristics which facilitate visual and spatial separation of territories can reduce competitive interactions and promote species co-occurrence.
","language":"English","publisher":"Wiley","doi":"10.1111/jav.00394","usgsCitation":"Haynes, T.B., Schmutz, J.A., Lindberg, M., Wright, K., Uher-Koch, B.D., and Rosenberger, A.E., 2014, Occupancy of yellow-billed and Pacific loons: evidence for interspecific competition and habitat mediated co-occurrence: Journal of Avian Biology, v. 45, no. 3, p. 296-304, https://doi.org/10.1111/jav.00394.","productDescription":"9 p.","startPage":"296","endPage":"304","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053023","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296412,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.328125,\n 71.63599288330606\n ],\n [\n -141.6796875,\n 58.81374171570782\n ],\n [\n -178.2421875,\n 50.62507306341435\n ],\n [\n -165.76171875,\n 71.69129271863999\n ],\n [\n -141.328125,\n 71.63599288330606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-18","publicationStatus":"PW","scienceBaseUri":"5480261be4b0ac64d148dcda","contributors":{"authors":[{"text":"Haynes, Trevor B.","contributorId":100302,"corporation":false,"usgs":false,"family":"Haynes","given":"Trevor","email":"","middleInitial":"B.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":526263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Kenneth G.","contributorId":127672,"corporation":false,"usgs":true,"family":"Wright","given":"Kenneth G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":526264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526265,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70133701,"text":"70133701 - 2014 - A stage-structured, spatially explicit migration model for Myotis bats: mortality location affects system dynamics","interactions":[],"lastModifiedDate":"2018-04-12T13:40:21","indexId":"70133701","displayToPublicDate":"2014-12-03T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3824,"text":"Letters in Biomathematics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A stage-structured, spatially explicit migration model for Myotis bats: mortality location affects system dynamics","title":"A stage-structured, spatially explicit migration model for Myotis bats: mortality location affects system dynamics","docAbstract":"","language":"English","publisher":"Illinois State University","doi":"10.1080/23737867.2014.11414477","usgsCitation":"Erickson, R.A., Thogmartin, W.E., Russell, R.E., Diffendorfer, J., and Szymanski, J.A., 2014, A stage-structured, spatially explicit migration model for Myotis bats: mortality location affects system dynamics: Letters in Biomathematics, v. 1, no. 2, p. 157-172, https://doi.org/10.1080/23737867.2014.11414477.","productDescription":"16 p.","startPage":"157","endPage":"172","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051683","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":472595,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/23737867.2014.11414477","text":"Publisher Index Page"},{"id":296459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5482e53de4b0aa6d77852ff4","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":525435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":525439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":525436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":525437,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szymanski, Jennifer A.","contributorId":51593,"corporation":false,"usgs":true,"family":"Szymanski","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":525438,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134538,"text":"70134538 - 2014 - Temporal patterns in the foraging behavior of sea otters in Alaska","interactions":[],"lastModifiedDate":"2018-05-13T12:11:08","indexId":"70134538","displayToPublicDate":"2014-12-03T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Temporal patterns in the foraging behavior of sea otters in Alaska","docAbstract":"
Activity time budgets in apex predators have been proposed as indicators of population status relative to resource limitation or carrying capacity. We used archival time-depth recorders implanted in 15 adult female and 4 male sea otters (Enhydra lutris) from the northernmost population of the species, Prince William Sound, Alaska, USA, to examine temporal patterns in their foraging behavior. Sea otters that we sampled spent less time foraging during summer (females 8.8 hr/day, males 7.9 hr/day) than other seasons (females 10.1–10.5 hr/day, males 9.2–9.5 hr/day). Both sexes showed strong preferences for diurnal foraging and adjusted their foraging effort in response to the amount of available daylight. One exception to this diurnal foraging mode occurred after females gave birth. For approximately 3 weeks post-partum, females switched to nocturnal foraging, possibly in an effort to reduce the risk of predation by eagles on newborn pups. We used multilevel mixed regression models to assess the contribution of several biological and environmental covariates to variation in the daily foraging effort of parous females. In the random effects only model, 87% of the total variation in foraging effort was within-otter variation. The relatively small among-otter variance component (13%) indicates substantial consistency in the foraging effort of sea otters in this northern population. In the top 3 models, 17% of the within-otter variation was explained by reproductive stage, day length, wind speed, air temperature and a wind speed × air temperature interaction. This study demonstrates the potential importance of environmental and reproductive effects when using activity budgets to assess population status relative to carrying capacity.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.701","usgsCitation":"Esslinger, G.G., Bodkin, J.L., Breton, A., Burns, J.M., and Monson, D., 2014, Temporal patterns in the foraging behavior of sea otters in Alaska: Journal of Wildlife Management, v. 78, no. 4, p. 689-700, https://doi.org/10.1002/jwmg.701.","productDescription":"12 p.","startPage":"689","endPage":"700","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046417","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296404,"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 -149.0625,\n 60.726943611101966\n ],\n [\n -146.8212890625,\n 61.39671887310411\n ],\n [\n -145.50292968749997,\n 60.44638185995603\n ],\n [\n -147.83203125,\n 59.84481485969105\n ],\n [\n -149.0625,\n 60.726943611101966\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-04-16","publicationStatus":"PW","scienceBaseUri":"5480261ce4b0ac64d148dce2","contributors":{"authors":[{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":526132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":526133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breton, André R.","contributorId":47682,"corporation":false,"usgs":false,"family":"Breton","given":"André R.","affiliations":[],"preferred":false,"id":526234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Jennifer M.","contributorId":98569,"corporation":false,"usgs":false,"family":"Burns","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":526235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monson, Daniel H. 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":140480,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel H.","email":"dmonson@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":526131,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70134588,"text":"70134588 - 2014 - Factors influencing immediate post-release survival of spectacled eiders following surgical implantation of transmitters with percutaneous antennae","interactions":[],"lastModifiedDate":"2014-12-03T09:36:45","indexId":"70134588","displayToPublicDate":"2014-12-03T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing immediate post-release survival of spectacled eiders following surgical implantation of transmitters with percutaneous antennae","docAbstract":"Surgically implanted transmitters are a common method for tracking animal movements. Immediately following surgical implantation, animals pass through a critical recovery phase when behaviors may deviate from normal and the likelihood of individual survival may be reduced. Therefore, data collected during this period may be censored to minimize bias introduced by surgery-related behaviors or mortality. However, immediate post-release mortalities negate a sampling effort and reduce the amount of data potentially collected after the censoring period. Wildlife biologists should employ methods to support an animal’s survival through this period, but factors contributing to immediate post-release survival have not been formally assessed. We evaluated factors that potentially influenced the immediate post-release survival of 56 spectacled eiders (Somateria fischeri) marked with coelomically implanted satellite transmitters with percutaneous antennae in northern Alaska in 2010 and 2011. We modeled survival through the first 14 days following release and assessed the relative importance and effect of 15 covariates hypothesized to influence survival during this immediate post-release period. Estimated daily survival rate increased over the duration of the immediate post-release period; the probability of mortality was greatest within the first 5 days following release. Our top-ranking model included the effect of 2 blood analytes, pH and hematocrit, measured prior to surgical implantation of a transmitter. We found a positive response to pH; eiders exhibiting acidemia (low pH) prior to surgery were less likely to survive the immediate post-release period. We found a curvilinear response to hematocrit; eiders exhibiting extremely low or high pre-surgery hematocrit were also less likely to survive the immediate post-release period. In the interest of maximizing the survival of marked birds following release, hematological data obtained prior to surgical implantation of telemetry equipment may be useful when screening for optimal surgical candidates or informing appropriate response to mitigate potentially deleterious disorders such as acidemia.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.690","usgsCitation":"Sexson, M.G., Mulcahy, D.M., Spriggs, M., and Myers, G.E., 2014, Factors influencing immediate post-release survival of spectacled eiders following surgical implantation of transmitters with percutaneous antennae: Journal of Wildlife Management, v. 78, no. 3, p. 550-560, https://doi.org/10.1002/jwmg.690.","productDescription":"11 p.","startPage":"550","endPage":"560","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052757","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438737,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HBK6P0","text":"USGS data release","linkHelpText":"Data on Blood Analytes and Post-Release Survival in Spectacled Eiders (Somateria fischeri), Northern Alaska, 2010-2011"},{"id":296402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-11","publicationStatus":"PW","scienceBaseUri":"54802617e4b0ac64d148dcce","contributors":{"authors":[{"text":"Sexson, Matthew G. 0000-0002-1078-0835 msexson@usgs.gov","orcid":"https://orcid.org/0000-0002-1078-0835","contributorId":5544,"corporation":false,"usgs":true,"family":"Sexson","given":"Matthew","email":"msexson@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":526210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":526211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spriggs, Maria","contributorId":127662,"corporation":false,"usgs":false,"family":"Spriggs","given":"Maria","email":"","affiliations":[],"preferred":false,"id":526226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Myers, Gwen E.","contributorId":89336,"corporation":false,"usgs":false,"family":"Myers","given":"Gwen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":526227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70119848,"text":"sir20145145 - 2014 - Methods for estimating drought streamflow probabilities for Virginia streams","interactions":[],"lastModifiedDate":"2014-12-03T09:06:53","indexId":"sir20145145","displayToPublicDate":"2014-12-03T09:45:00","publicationYear":"2014","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":"2014-5145","title":"Methods for estimating drought streamflow probabilities for Virginia streams","docAbstract":"Maximum likelihood logistic regression model equations used to estimate drought flow probabilities for Virginia streams are presented for 259 hydrologic basins in Virginia. Winter streamflows were used to estimate the likelihood of streamflows during the subsequent drought-prone summer months. The maximum likelihood logistic regression models identify probable streamflows from 5 to 8 months in advance. More than 5 million streamflow daily values collected over the period of record (January 1, 1900 through May 16, 2012) were compiled and analyzed over a minimum 10-year (maximum 112-year) period of record. The analysis yielded the 46,704 equations with statistically significant fit statistics and parameter ranges published in two tables in this report. These model equations produce summer month (July, August, and September) drought flow threshold probabilities as a function of streamflows during the previous winter months (November, December, January, and February). Example calculations are provided, demonstrating how to use the equations to estimate probable streamflows as much as 8 months in advance.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145145","collaboration":"Prepared in cooperation with the Virginia Department of Environmental Quality.","usgsCitation":"Austin, S.H., 2014, Methods for estimating drought streamflow probabilities for Virginia streams: U.S. Geological Survey Scientific Investigations Report 2014-5145, Report: vi, 20 p.; 2 Tables, https://doi.org/10.3133/sir20145145.","productDescription":"Report: vi, 20 p.; 2 Tables","numberOfPages":"32","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046130","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":296401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145145.jpg"},{"id":296399,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5145/pdf/sir2014-5145.pdf","text":"Report","size":"2.47 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296398,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5145/"},{"id":296400,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2014/5145/table","text":"Tables 1 and 2","size":"80 KB","linkFileType":{"id":3,"text":"xlsx"}}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.68408203124999,\n 39.50404070558415\n ],\n [\n -76.97021484375,\n 39.436192999314095\n ],\n [\n -75.8056640625,\n 36.4566360115962\n ],\n [\n -83.82568359375,\n 36.54494944148322\n ],\n [\n -78.68408203124999,\n 39.50404070558415\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5480261ae4b0ac64d148dcd6","contributors":{"authors":[{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":526225,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70140326,"text":"70140326 - 2014 - Localized rejuvenation of a crystal mush recorded in zircon temporal and compositional variation at the Lassen Volcanic Center, northern California","interactions":[],"lastModifiedDate":"2019-03-11T10:00:21","indexId":"70140326","displayToPublicDate":"2014-12-03T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Localized rejuvenation of a crystal mush recorded in zircon temporal and compositional variation at the Lassen Volcanic Center, northern California","docAbstract":"Zircon ages and trace element compositions from recent silicic eruptions in the Lassen Volcanic Center (LVC) allow for an evaluation of the timing and conditions of rejuvenation (reheating and mobilization of crystals) within the LVC magmatic system. The LVC is the southernmost active Cascade volcano and, prior to the 1980 eruption of Mount St. Helens, was the site of the only eruption in the Cascade arc during the last century. The three most recent silicic eruptions from the LVC were very small to moderate-sized lava flows and domes of dacite (1915 and 27 ka eruptions of Lassen Peak) and rhyodacite (1.1 ka eruption of Chaos Crags). These eruptions produced mixed and mingled lavas that contain a diverse crystal cargo, including zircon. 238U-230Th model ages from interior and surface analyses of zircon reveal ages from ~17 ka to secular equilibrium (>350 ka), with most zircon crystallizing during a period between ~60–200 ka. These data support a model for localized rejuvenation of crystal mush beneath the LVC. This crystal mush evidently is the remnant of magmatism that ended ~190 ka. Most zircon are thought to have been captured from “cold storage” in the crystal mush (670–725°C, Hf >10,000 ppm, Eu/Eu* 0.25–0.4) locally remobilized by intrusion of mafic magma. A smaller population of zircon (>730°C, Hf <10,000 ppm, Eu/Eu* >0.4) grew in, and are captured from, rejuvenation zones. These data suggest the dominant method to produce eruptible melt within the LVC is small-scale, local rejuvenation of the crystal mush accompanied by magma mixing and mingling. Based on zircon stability, the time required to heat, erupt and then cool to background conditions is relatively short, lasting a maximum of 10 s–1000 s years. Rejuvenation events in the LVC are ephemeral and permit eruption within an otherwise waning and cooling magmatic body.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0113157","usgsCitation":"Klemetti, E.W., and Clynne, M.A., 2014, Localized rejuvenation of a crystal mush recorded in zircon temporal and compositional variation at the Lassen Volcanic Center, northern California: PLoS ONE, v. 9, no. 12, e113157; 22 p., https://doi.org/10.1371/journal.pone.0113157.","productDescription":"e113157; 22 p.","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057791","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0113157","text":"Publisher Index Page"},{"id":297783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lassen Volcanic Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.55548095703125,\n 40.46523354237969\n ],\n [\n -121.55548095703125,\n 40.513277131087484\n ],\n [\n -121.4528274536133,\n 40.513277131087484\n ],\n [\n -121.4528274536133,\n 40.46523354237969\n ],\n [\n -121.55548095703125,\n 40.46523354237969\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-03","publicationStatus":"PW","scienceBaseUri":"54dd2a92e4b08de9379b3102","contributors":{"authors":[{"text":"Klemetti, Erik W.","contributorId":139092,"corporation":false,"usgs":false,"family":"Klemetti","given":"Erik","email":"","middleInitial":"W.","affiliations":[{"id":12650,"text":"Denison University","active":true,"usgs":false}],"preferred":false,"id":539974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":539973,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70134326,"text":"70134326 - 2014 - Estimation of potential evapotranspiration from extraterrestrial radiation, air temperature and humidity to assess future climate change effects on the vegetation of the Northern Great Plains, USA","interactions":[],"lastModifiedDate":"2020-12-23T15:39:03.087774","indexId":"70134326","displayToPublicDate":"2014-12-02T11:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of potential evapotranspiration from extraterrestrial radiation, air temperature and humidity to assess future climate change effects on the vegetation of the Northern Great Plains, USA","docAbstract":"The potential evapotranspiration (PET) that would occur with unlimited plant access to water is a central driver of simulated plant growth in many ecological models. PET is influenced by solar and longwave radiation, temperature, wind speed, and humidity, but it is often modeled as a function of temperature alone. This approach can cause biases in projections of future climate impacts in part because it confounds the effects of warming due to increased greenhouse gases with that which would be caused by increased radiation from the sun. We developed an algorithm for linking PET to extraterrestrial solar radiation (incoming top-of atmosphere solar radiation), as well as temperature and atmospheric water vapor pressure, and incorporated this algorithm into the dynamic global vegetation model MC1. We tested the new algorithm for the Northern Great Plains, USA, whose remaining grasslands are threatened by continuing woody encroachment. Both the new and the standard temperature-dependent MC1 algorithm adequately simulated current PET, as compared to the more rigorous PenPan model of Rotstayn et al. (2006). However, compared to the standard algorithm, the new algorithm projected a much more gradual increase in PET over the 21st century for three contrasting future climates. This difference led to lower simulated drought effects and hence greater woody encroachment with the new algorithm, illustrating the importance of more rigorous calculations of PET in ecological models dealing with climate change.
","language":"English","publisher":"Elsevier Science B.V.","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolmodel.2014.10.037","usgsCitation":"King, D.A., Bachelet, D.M., Symstad, A.J., Ferschweiler, K., and Hobbins, M., 2014, Estimation of potential evapotranspiration from extraterrestrial radiation, air temperature and humidity to assess future climate change effects on the vegetation of the Northern Great Plains, USA: Ecological Modelling, v. 297, p. 86-97, https://doi.org/10.1016/j.ecolmodel.2014.10.037.","productDescription":"12 p.","startPage":"86","endPage":"97","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056289","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":296372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Nebraska, North Dakota, South Dakota, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.86328125,\n 41.21172151054787\n ],\n [\n -97.05322265625,\n 41.21172151054787\n ],\n [\n -97.05322265625,\n 48.850258199721495\n ],\n [\n -109.86328125,\n 48.850258199721495\n ],\n [\n -109.86328125,\n 41.21172151054787\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"297","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ed4a2e4b09357f05f8a1f","contributors":{"authors":[{"text":"King, David A.","contributorId":7160,"corporation":false,"usgs":true,"family":"King","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":525886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bachelet, Dominique M.","contributorId":89042,"corporation":false,"usgs":true,"family":"Bachelet","given":"Dominique","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":525887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":147543,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":525885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferschweiler, Ken","contributorId":127604,"corporation":false,"usgs":false,"family":"Ferschweiler","given":"Ken","affiliations":[{"id":7074,"text":"Conservation Biology Institute, Covallis OR","active":true,"usgs":false}],"preferred":false,"id":525888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobbins, Michael","contributorId":127605,"corporation":false,"usgs":false,"family":"Hobbins","given":"Michael","email":"","affiliations":[{"id":7075,"text":"National Integrated Drought Information System, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":525889,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70133885,"text":"ofr20131024B - 2014 - Generalized surficial geologic map of the Fort Irwin Area, San Bernardino County, California","interactions":[{"subject":{"id":70133885,"text":"ofr20131024B - 2014 - Generalized surficial geologic map of the Fort Irwin Area, San Bernardino County, California","indexId":"ofr20131024B","publicationYear":"2014","noYear":false,"chapter":"B","displayTitle":"Generalized Surficial Geologic Map of the Fort Irwin Area, San Bernardino County, California","title":"Generalized surficial geologic map of the Fort Irwin Area, San Bernardino County, California"},"predicate":"IS_PART_OF","object":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"id":1}],"isPartOf":{"id":70201192,"text":"ofr20131024 - 2014 - Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","indexId":"ofr20131024","publicationYear":"2014","noYear":false,"title":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California"},"lastModifiedDate":"2022-04-18T19:49:18.927666","indexId":"ofr20131024B","displayToPublicDate":"2014-12-02T10:30:00","publicationYear":"2014","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":"2013-1024","chapter":"B","displayTitle":"Generalized Surficial Geologic Map of the Fort Irwin Area, San Bernardino County, California","title":"Generalized surficial geologic map of the Fort Irwin Area, San Bernardino County, California","docAbstract":"The geology and landscape of the Fort Irwin area, typical of many parts of the Mojave Desert, consist of rugged mountains separated by broad alluviated valleys that form the main coarse-resolution features of the geologic map. Crystalline and sedimentary rocks, Mesozoic and older in age, form most of the mountains with lesser accumulations of Miocene sedimentary and volcanic rocks. In detail, the area exhibits a fairly complex distribution of surficial deposits resulting from diverse rock sources and geomorphology that has been driven by topographic changes caused by recent and active faulting. Depositional environments span those typical of the Mojave Desert: alluvial fans on broad piedmonts, major intermittent streams along valley floors, eolian sand dunes and sheets, and playas in closed valleys that lack through-going washes. Erosional environments include rocky mountains, smooth gently sloping pediments, and badlands in readily eroded sediment. All parts of the landscape, from regional distribution of mountains, valleys, and faults to details of degree of soil development in surface materials, are portrayed by the surficial geologic map. Many of these attributes govern infiltration and recharge, and the surface distribution of permeable rock units such as Miocene sedimentary and volcanic rocks provides a basis for evaluating potential groundwater storage. Quaternary faults are widespread in the Fort Irwin area and include sinistral, east-striking faults that characterize the central swath of the area and the contrasting dextral, northwest-striking faults that border the east and west margins. Bedrock distribution and thickness of valley-fill deposits are controlled by modern and past faulting, and faults on the map help to identify targets for groundwater exploration.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024B","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Miller, D.M., Menges, C.M., and Lidke, D.J., 2014, Generalized surficial geologic map of the Fort Irwin area, San Bernardino County, California, chap. B of Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open-File Report 2013–1024, 11 p., scale 1:100,000, https://doi.org/10.3133/ofr20131024B.","productDescription":"Report: iii, 11 p.; 1 Plate: 50.91 x 35.84 inches; Database","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-041811","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":398994,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_103355.htm"},{"id":296354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/b/images/coverthb.jpg"},{"id":296352,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1024/b/downloads/ofr2013-1024_b_map.pdf","text":"Map","linkFileType":{"id":1,"text":"pdf"}},{"id":296351,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/b/downloads/ofr2013_1024_b_report.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":296353,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2013/1024/b/downloads/OF2013-1024-b.zip","linkFileType":{"id":6,"text":"zip"}}],"scale":"100000","country":"United States","state":"California","county":"San Bernardino County","otherGeospatial":"Fort Irwin area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.1767,\n 35.0222\n ],\n [\n -116.1122,\n 35.0222\n ],\n [\n -116.1122,\n 35.6944\n ],\n [\n -117.1767,\n 35.6944\n ],\n [\n -117.1767,\n 35.0222\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
Geologic and geophysical investigations in the vicinity of Fort Irwin National Training Center, California, have been completed in support of groundwater investigations, and are presented in eight chapters of this report. A generalized surficial geologic map along with field and borehole investigations conducted during 2010–11 provide a lithostratigraphic and structural framework for the area during the Cenozoic. Electromagnetic properties of resistivity were measured in the laboratory on hand and core samples, and compared to borehole geophysical resistivity data. These data were used in conjunction with ground-based time-domain and airborne data and interpretations to provide a framework for the shallow lithologic units and structure. Gravity and aeromagnetic maps cover areas ~4 to 5 times that of Fort Irwin. Each chapter includes hydrogeologic applications of the data or model results.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Geology and geophysics applied to groundwater hydrology at Fort Irwin, California","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131024A","collaboration":"Prepared in cooperation with the U.S. Army, Fort Irwin National Training Center","usgsCitation":"Buesch, D.C., 2014, Introduction to the geologic and geophysical studies of Fort Irwin, California, chap. A of Buesch, D.C., ed., Geology and geophysics applied to groundwater hydrology at Fort Irwin, California: U.S. Geological Survey Open-File Report 2013–1024, 8 p., https://doi.org/10.3133/ofr20131024A.","productDescription":"Report: iii, 8 p.","numberOfPages":"11","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059381","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":296356,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1024/a/downloads/ofr2013-1024-a.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2013/1024/a/images/coverthb.jpg"}],"country":"United States","state":"California","county":"San Bernardino County","city":"Fort Irwin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.70870780944823,\n 35.26944846740116\n ],\n [\n -116.7092227935791,\n 35.23966065628306\n ],\n [\n -116.66810989379881,\n 35.25276864179296\n ],\n [\n -116.66939735412596,\n 35.27575506983386\n ],\n [\n -116.70690536499022,\n 35.27470400352624\n ],\n [\n -116.70870780944823,\n 35.26944846740116\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information,
Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
Recent restrictions on uranium mining within the Grand Canyon watershed have drawn attention to scientific data gaps in evaluating the possible effects of ore extraction to human populations as well as wildlife communities in the area. Tissue contaminant concentrations, one of the most basic data requirements to determine exposure, are not available for biota from any historical or active uranium mines in the region. The Canyon Uranium Mine is under development, providing a unique opportunity to characterize concentrations of uranium and other trace elements, as well as radiation levels in biota, found in the vicinity of the mine before ore extraction begins. Our study objectives were to identify contaminants of potential concern and critical contaminant exposure pathways for ecological receptors; conduct biological surveys to understand the local food web and refine the list of target species (ecological receptors) for contaminant analysis; and collect target species for contaminant analysis prior to the initiation of active mining. Contaminants of potential concern were identified as arsenic, cadmium, chromium, copper, lead, mercury, nickel, selenium, thallium, uranium, and zinc for chemical toxicity and uranium and associated radionuclides for radiation. The conceptual exposure model identified ingestion, inhalation, absorption, and dietary transfer (bioaccumulation or bioconcentration) as critical contaminant exposure pathways. The biological survey of plants, invertebrates, amphibians, reptiles, birds, and small mammals is the first to document and provide ecological information on .200 species in and around the mine site; this study also provides critical baseline information about the local food web. Most of the species documented at the mine are common to ponderosa pine Pinus ponderosa and pinyon–juniper Pinus–Juniperus spp. forests in northern Arizona and are not considered to have special conservation status by state or federal agencies; exceptions are the locally endemic Tusayan flameflower Phemeranthus validulus, the long-legged bat Myotis volans, and the Arizona bat Myotis occultus. The most common vertebrate species identified at the mine site included the Mexican spadefoot toad Spea multiplicata, plateau fence lizard Sceloporus tristichus, violetgreen swallow Tachycineta thalassina, pygmy nuthatch Sitta pygmaea, purple martin Progne subis, western bluebird Sialia mexicana, deermouse Peromyscus maniculatus, valley pocket gopher Thomomys bottae, cliff chipmunk Tamias dorsalis, black-tailed jackrabbit Lepus californicus, mule deer Odocoileus hemionus, and elk Cervus canadensis. A limited number of the most common species were collected for contaminant analysis to establish baseline contaminant and radiological concentrations prior to ore extraction. These empirical baseline data will help validate contaminant exposure pathways and potential threats from contaminant exposures to ecological receptors. Resource managers will also be able to use these data to determine the extent to which local species are exposed to chemical and radiation contamination once the mine is operational and producing ore. More broadly, these data could inform resource management decisions on mitigating chemical and radiation exposure of biota at high-grade uranium breccia pipes throughout the Grand Canyon watershed.
","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Washington, D.C.","doi":"10.3996/052014-JFWM-039","usgsCitation":"Hinck, J.E., Linder, G.L., Darrah, A.J., Drost, C.A., Duniway, M.C., Johnson, M.J., Mendez-Harclerode, F.M., Nowak, E., Valdez, E.W., van Riper, C., and Wolff, S., 2014, Exposure pathways and biological receptors: baseline data for the canyon uranium mine, Coconino County, Arizona: Journal of Fish and Wildlife Management, v. 5, no. 2, p. 422-440, https://doi.org/10.3996/052014-JFWM-039.","productDescription":"19 p.","startPage":"422","endPage":"440","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055758","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology 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linder2@usgs.gov","contributorId":1766,"corporation":false,"usgs":true,"family":"Linder","given":"Greg","email":"linder2@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":537454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darrah, Abigail J. adarrah@usgs.gov","contributorId":5883,"corporation":false,"usgs":true,"family":"Darrah","given":"Abigail","email":"adarrah@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":537451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":537464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":537452,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Matthew J. mjjohnson@usgs.gov","contributorId":3604,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":27989,"text":"Colorado Plateau Research Station, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":537453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mendez-Harclerode, Francisca M.","contributorId":131136,"corporation":false,"usgs":false,"family":"Mendez-Harclerode","given":"Francisca","email":"","middleInitial":"M.","affiliations":[{"id":7259,"text":"Bethel College","active":true,"usgs":false}],"preferred":false,"id":537455,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nowak, Erika M.","contributorId":14062,"corporation":false,"usgs":true,"family":"Nowak","given":"Erika M.","affiliations":[],"preferred":false,"id":537456,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":537457,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"van Riper, Charles III 0000-0003-1084-5843 charles_van_riper@usgs.gov","orcid":"https://orcid.org/0000-0003-1084-5843","contributorId":169488,"corporation":false,"usgs":true,"family":"van Riper","given":"Charles","suffix":"III","email":"charles_van_riper@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":537458,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wolff, S.W.","contributorId":30550,"corporation":false,"usgs":true,"family":"Wolff","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":537465,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70160766,"text":"70160766 - 2014 - A model to locate potential areas for lake sturgeon spawning habitat construction in the St. Clair–Detroit River System","interactions":[],"lastModifiedDate":"2015-12-30T13:05:34","indexId":"70160766","displayToPublicDate":"2014-12-01T14:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A model to locate potential areas for lake sturgeon spawning habitat construction in the St. Clair–Detroit River System","docAbstract":"In response to a need for objective scientific information that could be used to help remediate loss of fish spawning habitat in the St. Clair River and Detroit River International Areas of Concern, this paper summarizes a large-scale geographic mapping investigation. Our study integrates data on two variables that many riverine fishes respond to in selecting where to spawn in these waters (water flow velocity and water depth) with available maps of the St. Clair–Detroit River System (SC–DRS). Our objectives were to locate and map these two physical components of fish habitat in the St. Clair and Detroit rivers and Lake St. Clair using a geographic information system (GIS) and to identify where, theoretically, fish spawning habitat could be remediated in these rivers. The target fish species to which this model applies is lake sturgeon (Acipenser fulvescens), but spawning reefs constructed for lake sturgeon in this system have been used for spawning by 17 species of fish. Our analysis revealed areas in each river that possessed suitable water velocity and depth for fish spawning and therefore could theoretically be remediated by the addition of rock-rubble substrate like that used at two previously remediated sites in the Detroit River at Belle Isle and Fighting Island. Results of our analysis revealed that only 3% of the total area of the SC–DRS possesses the necessary combination of water depth and high flow velocity to be indicated by the model as potential spawning habitat for lake sturgeon.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2014.02.002","usgsCitation":"Bennion, D., and Manny, B.A., 2014, A model to locate potential areas for lake sturgeon spawning habitat construction in the St. Clair–Detroit River System: Journal of Great Lakes Research, v. 40, no. Supplement 2, p. 43-51, https://doi.org/10.1016/j.jglr.2014.02.002.","productDescription":"9 p.","startPage":"43","endPage":"51","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055219","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"St. Clair - Detroit River system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.4688720703125,\n 43.05082689000007\n ],\n [\n -82.276611328125,\n 43.030753001428344\n ],\n [\n -82.49359130859375,\n 42.551056983385934\n ],\n [\n -82.38922119140625,\n 42.508552415528634\n ],\n [\n -82.38372802734375,\n 42.309815415686664\n ],\n [\n -82.4853515625,\n 42.273244264402734\n ],\n [\n -82.94952392578125,\n 42.309815415686664\n ],\n [\n -83.05389404296875,\n 42.259016415705766\n ],\n [\n -83.07037353515625,\n 42.04113400940809\n ],\n [\n -83.21319580078125,\n 42.0227732629691\n ],\n [\n -83.1884765625,\n 42.26714700815231\n ],\n [\n -82.957763671875,\n 42.415346114253616\n ],\n [\n -82.880859375,\n 42.583422001323584\n ],\n [\n -82.84515380859375,\n 42.68041629144619\n ],\n [\n -82.65838623046875,\n 42.718768102606354\n ],\n [\n -82.5457763671875,\n 42.66022161324799\n ],\n [\n -82.5238037109375,\n 42.783307077249624\n ],\n [\n -82.529296875,\n 42.90011265525328\n ],\n [\n -82.4688720703125,\n 43.05082689000007\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"Supplement 2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56850e46e4b0a04ef493379f","contributors":{"authors":[{"text":"Bennion, David 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583819,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70134308,"text":"70134308 - 2014 - Inner-shelf circulation and sediment dynamics on a series of shoreface connected ridges offshore of Fire Island, NY","interactions":[],"lastModifiedDate":"2020-12-31T19:55:18.781874","indexId":"70134308","displayToPublicDate":"2014-12-01T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2923,"text":"Ocean Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Inner-shelf circulation and sediment dynamics on a series of shoreface connected ridges offshore of Fire Island, NY","docAbstract":"Locations along the inner-continental shelf offshore of Fire Island, NY, are characterized by a series of shoreface-connected ridges (SFCRs). These sand ridges have approximate dimensions of 10 km in length, 3 km spacing, and up to ∼8 m ridge to trough relief and are oriented obliquely at approximately 30° clockwise from the coastline. Stability analysis from previous studies explains how sand ridges such as these could be formed and maintained by storm-driven flows directed alongshore with a key maintenance mechanism of offshore deflected flows over ridge crests and onshore in the troughs. We examine these processes both with a limited set of idealized numerical simulations and analysis of observational data. Model results confirm that alongshore flows over the SFCRs exhibit offshore veering of currents over the ridge crests and onshore-directed flows in the troughs, and demonstrate the opposite circulation pattern for a reverse wind. To further investigate these maintenance processes, oceanographic instruments were deployed at seven sites on the SFCRs offshore of Fire Island to measure water levels, ocean currents, waves, suspended sediment concentrations, and bottom stresses from January to April 2012. Data analysis reveals that during storms with winds from the northeast, the processes of offshore deflection of currents over ridge crests and onshore in the troughs were observed, and during storm events with winds from the southwest, a reverse flow pattern over the ridges occurred. Computations of suspended sediment fluxes identify periods that are consistent with SFCR maintenance mechanisms. Alongshore winds from the northeast drove fluxes offshore on the ridge crest and onshore in the trough that would tend to promote ridge maintenance. However, alongshore winds from the southwest drove opposite circulations. The wind fields are related to different storm types that occur in the region (low-pressure systems, cold fronts, and warm fronts). From the limited data set, we identify that low-pressure systems drive sediment fluxes that tend to promote stability and maintain the SFCRs while cold front type storms appear to drive circulations that are in the opposite sense and may not be a supporting mechanism for ridge maintenance.
","language":"English","publisher":"Springer","publisherLocation":"Berlin, Germany","doi":"10.1007/s10236-014-0781-y","usgsCitation":"Warner, J., List, J., Schwab, W.C., Voulgaris, G., Armstrong, B., and Marshall, N., 2014, Inner-shelf circulation and sediment dynamics on a series of shoreface connected ridges offshore of Fire Island, NY: Ocean Dynamics, v. 64, no. 2, p. 1767-1781, https://doi.org/10.1007/s10236-014-0781-y.","productDescription":"15 p.","startPage":"1767","endPage":"1781","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056995","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10236-014-0781-y","text":"Publisher Index Page"},{"id":296389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.75146484374999,\n 40.763901280945866\n ],\n [\n -72.7294921875,\n 40.73581157695217\n ],\n [\n -72.718505859375,\n 40.71551718935035\n ],\n [\n -72.45002746582031,\n 40.78626052122175\n ],\n [\n -72.48298645019531,\n 40.84809918505204\n ],\n [\n -72.75146484374999,\n 40.763901280945866\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-10-24","publicationStatus":"PW","scienceBaseUri":"547ee2c5e4b09357f05f8a54","contributors":{"authors":[{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"List, Jeffrey H. jlist@usgs.gov","contributorId":127596,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey H.","email":"jlist@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":525804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":525805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":525806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Brandy N. barmstrong@usgs.gov","contributorId":5897,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy N.","email":"barmstrong@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":525807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marshall, N","contributorId":127597,"corporation":false,"usgs":false,"family":"Marshall","given":"N","email":"","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":525808,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70112922,"text":"70112922 - 2014 - Magma-ice-sediment interactions and the origin of lava/hyaloclastite sequences in the Síða formation, South Iceland","interactions":[],"lastModifiedDate":"2019-02-25T13:35:16","indexId":"70112922","displayToPublicDate":"2014-12-01T12:52:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Magma-ice-sediment interactions and the origin of lava/hyaloclastite sequences in the Síða formation, South Iceland","docAbstract":"Products of subglacial volcanism can illuminate reconstructions of paleo-environmental conditions on both local and regional scales. Competing interpretations of Pleistocene conditions in south Iceland have been proposed based on an extensive sequence of repeating lava-and-hyaloclastite deposits in the Síða district. We propose here a new eruptive model and refine the glacial environment during eruption based on field research and analytical data for the Síða district lava/hyaloclastite units. Field observations from this and previous studies reveal a repeating sequence of cogenetic lava and hyaloclastite deposits extending many kilometers from their presumed eruptive source. Glasses from lava selvages and unaltered hyaloclastites have very low H2O, S, and CO2 concentrations, indicating significant degassing at or close to atmospheric pressure prior to quenching. We also present a scenario that demonstrates virtual co-emplacement of the two eruptive products. Our data and model results suggest repeated eruptions under thin ice or partially subaerial conditions, rather than eruption under a thick ice sheet or subglacial conditions as previously proposed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Volcanology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00445-013-0785-3","usgsCitation":"Banik, T.J., Wallace, P., Hoskuldsson, A., Miller, C., Bacon, C.R., and Furbish, D.J., 2014, Magma-ice-sediment interactions and the origin of lava/hyaloclastite sequences in the Síða formation, South Iceland: Bulletin of Volcanology, v. 76, 19 p., https://doi.org/10.1007/s00445-013-0785-3.","productDescription":"19 p.","numberOfPages":"19","ipdsId":"IP-042228","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":288817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iceland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -19.0,63.5 ], [ -19.0,64.0 ], [ -18.0,64.0 ], [ -18.0,63.5 ], [ -19.0,63.5 ] ] ] } } ] }","volume":"76","noUsgsAuthors":false,"publicationDate":"2013-12-05","publicationStatus":"PW","scienceBaseUri":"53ae776ee4b0abf75cf2c124","contributors":{"authors":[{"text":"Banik, Tenley J.","contributorId":91789,"corporation":false,"usgs":true,"family":"Banik","given":"Tenley","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Paul J.","contributorId":29308,"corporation":false,"usgs":true,"family":"Wallace","given":"Paul J.","affiliations":[],"preferred":false,"id":494939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoskuldsson, Armann","contributorId":95391,"corporation":false,"usgs":true,"family":"Hoskuldsson","given":"Armann","email":"","affiliations":[],"preferred":false,"id":494942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Calvin F.","contributorId":18437,"corporation":false,"usgs":true,"family":"Miller","given":"Calvin F.","affiliations":[],"preferred":false,"id":494938,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bacon, Charles R. 0000-0002-2165-5618 cbacon@usgs.gov","orcid":"https://orcid.org/0000-0002-2165-5618","contributorId":2909,"corporation":false,"usgs":true,"family":"Bacon","given":"Charles","email":"cbacon@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":494937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furbish, David J.","contributorId":40517,"corporation":false,"usgs":true,"family":"Furbish","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":494940,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70147923,"text":"70147923 - 2014 - Accounting for imperfect detection and survey bias in statistical analysis of presence-only data","interactions":[],"lastModifiedDate":"2015-05-11T11:39:45","indexId":"70147923","displayToPublicDate":"2014-12-01T12:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for imperfect detection and survey bias in statistical analysis of presence-only data","docAbstract":"Aim
\nDuring the past decade ecologists have attempted to estimate the parameters of species distribution models by combining locations of species presence observed in opportunistic surveys with spatially referenced covariates of occurrence. Several statistical models have been proposed for the analysis of presence-only data, but these models have largely ignored the effects of imperfect detection and survey bias. In this paper I describe a model-based approach for the analysis of presence-only data that accounts for errors in the detection of individuals and for biased selection of survey locations.
\nInnovation
\nI develop a hierarchical, statistical model that allows presence-only data to be analysed in conjunction with data acquired independently in planned surveys. One component of the model specifies the spatial distribution of individuals within a bounded, geographic region as a realization of a spatial point process. A second component of the model specifies two kinds of observations, the detection of individuals encountered during opportunistic surveys and the detection of individuals encountered during planned surveys.
\nMain conclusions
\nUsing mathematical proof and simulation-based comparisons, I demonstrate that biases induced by errors in detection or biased selection of survey locations can be reduced or eliminated by using the hierarchical model to analyse presence-only data in conjunction with counts observed in planned surveys. I show that a relatively small number of high-quality data (from planned surveys) can be used to leverage the information in presence-only observations, which usually have broad spatial coverage but may not be informative of both occurrence and detectability of individuals. Because a variety of sampling protocols can be used in planned surveys, this approach to the analysis of presence-only data is widely applicable. In addition, since the point-process model is formulated at the level of an individual, it can be extended to account for biological interactions between individuals and temporal changes in their spatial distributions.
","language":"English","publisher":"Blackwell Scientific Publications","publisherLocation":"Oxford, England","doi":"10.1111/geb.12216","usgsCitation":"Dorazio, R., 2014, Accounting for imperfect detection and survey bias in statistical analysis of presence-only data: Global Ecology and Biogeography, v. 23, no. 12, p. 1472-1484, https://doi.org/10.1111/geb.12216.","productDescription":"13 p.","startPage":"1472","endPage":"1484","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053071","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":300289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"12","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-08","publicationStatus":"PW","scienceBaseUri":"5551d2ade4b0a92fa7e93bd2","contributors":{"authors":[{"text":"Dorazio, Robert M. bob_dorazio@usgs.gov","contributorId":140635,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert M.","email":"bob_dorazio@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":546389,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70155213,"text":"70155213 - 2014 - Why the New Madrid earthquakes are M 7–8 and the Charleston earthquake is ∼M 7","interactions":[],"lastModifiedDate":"2015-08-03T11:16:54","indexId":"70155213","displayToPublicDate":"2014-12-01T12:15:00","publicationYear":"2014","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":"Why the New Madrid earthquakes are M 7–8 and the Charleston earthquake is ∼M 7","docAbstract":"Estimates of magnitudes of large historical earthquakes are an essential input to and can seriously affect seismic‐hazard estimates. The earthquake‐intensity observations, modified Mercalli intensities (MMI), and assigned magnitudes Mof the 1811–1812 New Madrid events have been reinterpreted several times in the last decade and have been a source of controversy in making seismic‐hazard estimates in the central United States. Observations support the concept that the larger the earthquake, the greater the maximum‐felt distance. For the same crustal attenuation and local soil conditions, magnitude should be the main influence on intensity values at large distances. We apply this concept by comparing the mean MMI at distances of 600–1200 km for each of the four largest New Madrid 1811–1812 earthquakes, the 1886 Charleston, South Carolina, earthquake, the 1929 M 7.2 Grand Banks earthquake, and the 2001M 7.6 Bhuj, India, earthquake. We fit the intensity observations using the form MMI=A+C×dist−0.8×log(dist) to better define intensity attenuation in eastern North America (ENA). The intensity attenuation in cratonic India differs from ENA and is corrected to ENA using both the above estimate and published intensity relations. We evaluate source, marine geophysical, Q, and stress‐drop information, as well as a 1929 Milne–Shaw record at Chicago to confirm that the 1929 Grand Banks earthquake occurred in ENA crust. Our direct comparison of mean intensities beyond 600 km suggests M 7.5, 7.3, 7.7, and 6.9 for the three New Madrid 1811–1812 mainshocks and the largest aftershock and M 7.0 for the 1886 Charleston, South Carolina, earthquake, with an estimated uncertainty of 0.3 units at the 95% confidence level (based on a Monte Carlo analysis). Our mean New Madrid and Charleston mainshock magnitudes are similar to those of Bakun and Hopper (2004) and are much higher than those of Hough and Page (2011) for New Madrid.
","language":"English","publisher":"Seismological Society of America","publisherLocation":"Stanford, CA","doi":"10.1785/0120120257","collaboration":"Center for Earthquake Research and Information at the University of Memphis","usgsCitation":"Cramer, C.H., and Boyd, O.S., 2014, Why the New Madrid earthquakes are M 7–8 and the Charleston earthquake is ∼M 7: Bulletin of the Seismological Society of America, v. 104, no. 6, p. 2884-2903, https://doi.org/10.1785/0120120257.","productDescription":"20 p.","startPage":"2884","endPage":"2903","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056865","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":306315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-28","publicationStatus":"PW","scienceBaseUri":"55c090b6e4b033ef521042bc","contributors":{"authors":[{"text":"Cramer, Chris H.","contributorId":32196,"corporation":false,"usgs":true,"family":"Cramer","given":"Chris","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":565109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":565108,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70134891,"text":"70134891 - 2014 - Geologic implications of gas hydrates in the offshore of India: results of the National Gas Hydrate Program Expedition 01","interactions":[],"lastModifiedDate":"2014-12-09T11:44:51","indexId":"70134891","displayToPublicDate":"2014-12-01T11:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geologic implications of gas hydrates in the offshore of India: results of the National Gas Hydrate Program Expedition 01","docAbstract":"The Indian National Gas Hydrate Program Expedition 01 (NGHP-01) is designed to study the occurrence of gas hydrate along the passive continental margin of the Indian Peninsula and in the Andaman convergent margin, with special emphasis on understanding the geologic and geochemical controls on the occurrence of gas hydrate in these two diverse settings. The NGHP-01 expedition established the presence of gas hydrates in the Krishna-Godavari and Mahanadi Basins, and the Andaman Sea. The expedition discovered in the Krishna-Godavari Basin one of the thickest gas hydrate accumulations ever documented, in the Andaman Sea one of the thickest and deepest gas hydrate stability zones in the world, and established the existence of a fully developed gas hydrate petroleum system in all three basins.
\nThe primary goal of NGHP-01 was to conduct scientific ocean drilling/coring, logging, and analytical activities to assess the geologic occurrence, regional context, and characteristics of gas hydrate deposits along the continental margins of India. This was done in order to meet the long-term goal of exploiting gas hydrate as a potential energy resource in a cost effective and safe manner. During its 113.5-day voyage, the D/V JOIDES Resolution cored and/or drilled 39 holes at 21 sites (1 site in Kerala-Konkan, 15 sites in Krishna-Godavari, 4 sites in Mahanadi, and 1 site in the Andaman deep offshore area), penetrated more than 9250 m of sedimentary section, and recovered nearly 2850 m of core. Twelve holes were logged with logging-while-drilling (LWD) tools and an additional 13 holes were wireline logged. The science team utilized extensive on-board laboratory facilities to examine and prepare preliminary reports on the physical properties, geochemistry, and sedimentology of all the data collected prior to the end of the expedition. Samples were also analyzed in additional post-expedition shore-based studies conducted in leading laboratories around the world.
\nOne of the specific objectives of this expedition was to test gas hydrate formation models and constrain model parameters, especially those that account for the formation of concentrated gas hydrate accumulations. The necessary data for characterizing the occurrence of in situ gas hydrate, such as interstitial water chlorinities, core-derived gas chemistry, physical and sedimentological properties, thermal images of the recovered cores, and downhole measured logging data (LWD and/or conventional wireline log data), were obtained from most of the drill sites established during NGHP-01. Almost all of the drill sites yielded evidence for the occurrence of gas hydrate; however, the inferred in situ concentration of gas hydrate varied substantially from site to site. For the most part, the interpretation of downhole logging data, core thermal images, interstitial water analyses, and pressure core images from the sites drilled during NGHP-01 indicate that the occurrence of concentrated gas hydrate is mostly associated with the presence of fractures in the sediments, and in some limited cases, by coarser grained (mostly sand-rich) sediments.
","language":"English","publisher":"Butterworth Scientific Ltd.","publisherLocation":"Guildford, Surrey","doi":"10.1016/j.marpetgeo.2014.07.021","usgsCitation":"Collett, T.S., Boswell, R., Cochran, J.R., Kumar, P., Lall, M., Mazumdar, A., Ramana, M.V., Ramprasad, T., Riedel, M., Sain, K., Sathe, A.V., and Vishwanath, K., 2014, Geologic implications of gas hydrates in the offshore of India: results of the National Gas Hydrate Program Expedition 01: Marine and Petroleum Geology, v. 58, no. 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