{"pageNumber":"150","pageRowStart":"3725","pageSize":"25","recordCount":10458,"records":[{"id":70118544,"text":"70118544 - 2014 - The southern megalopolis: using the past to predict the future of urban sprawl in the Southeast U.S.","interactions":[],"lastModifiedDate":"2018-12-21T13:04:13","indexId":"70118544","displayToPublicDate":"2014-07-29T11:09:00","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":"The southern megalopolis: using the past to predict the future of urban sprawl in the Southeast U.S.","docAbstract":"The future health of ecosystems is arguably as dependent on urban sprawl as it is on human-caused climatic warming. Urban sprawl strongly impacts the urban ecosystems it creates and the natural and agro-ecosystems that it displaces and fragments. Here, we project urban sprawl changes for the next 50 years for the fast-growing Southeast U.S. Previous studies have focused on modeling population density, but the urban extent is arguably as important as population density per se in terms of its ecological and conservation impacts. We develop simulations using the SLEUTH urban growth model that complement population-driven models but focus on spatial pattern and extent. To better capture the reach of low-density suburban development, we extend the capabilities of SLEUTH by incorporating street-network information. Our simulations point to a future in which the extent of urbanization in the Southeast is projected to increase by 101% to 192%. Our results highlight areas where ecosystem fragmentation is likely, and serve as a benchmark to explore the challenging tradeoffs between ecosystem health, economic growth and cultural desires.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0102261","usgsCitation":"Terando, A., Costanza, J., Belyea, C., Dunn, R.R., McKerrow, A., and Collazo, J., 2014, The southern megalopolis: using the past to predict the future of urban sprawl in the Southeast U.S.: PLoS ONE, v. 9, no. 7, 8 p., https://doi.org/10.1371/journal.pone.0102261.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-049437","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":472857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0102261","text":"Publisher Index Page"},{"id":291281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291280,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0102261"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.25,24.43 ], [ -93.25,39.44 ], [ -74.97,39.44 ], [ -74.97,24.43 ], [ -93.25,24.43 ] ] ] } } ] }","volume":"9","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-23","publicationStatus":"PW","scienceBaseUri":"57f7f097e4b0bc0bec09f865","contributors":{"authors":[{"text":"Terando, Adam aterando@usgs.gov","contributorId":4792,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":496966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costanza, Jennifer","contributorId":74689,"corporation":false,"usgs":true,"family":"Costanza","given":"Jennifer","affiliations":[],"preferred":false,"id":496969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belyea, Curtis","contributorId":6382,"corporation":false,"usgs":true,"family":"Belyea","given":"Curtis","email":"","affiliations":[],"preferred":false,"id":496967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunn, Robert R.","contributorId":50085,"corporation":false,"usgs":true,"family":"Dunn","given":"Robert","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":496968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":4542,"corporation":false,"usgs":false,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":496965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collazo, Jaime jaime_collazo@usgs.gov","contributorId":2613,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":496964,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70117800,"text":"70117800 - 2014 - Detecting well casing leaks in Bangladesh using a salt spiking method","interactions":[],"lastModifiedDate":"2018-09-18T16:30:47","indexId":"70117800","displayToPublicDate":"2014-07-24T11:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Detecting well casing leaks in Bangladesh using a salt spiking method","docAbstract":"We apply fluid-replacement logging in arsenic-contaminated regions of Bangladesh using a low-cost, down-well fluid conductivity logging tool to detect leaks in the cased section of wells. The fluid-conductivity tool is designed for the developing world: it is lightweight and easily transportable, operable by one person, and can be built for minimal cost. The fluid-replacement test identifies leaking casing by comparison of fluid conductivity logs collected before and after spiking the wellbore with a sodium chloride tracer. Here, we present results of fluid-replacement logging tests from both leaking and non-leaking casing from wells in Araihazar and Munshiganj, Bangladesh, and demonstrate that the low-cost tool produces measurements comparable to those obtained with a standard geophysical logging tool. Finally, we suggest well testing procedures and approaches for preventing casing leaks in Bangladesh and other developing countries.","language":"English","publisher":"State Water Control Board","publisherLocation":"Richmond, VA","doi":"10.1111/gwat.12200","usgsCitation":"Stahl, M., Ong, J., Harvey, C., Johnson, C., Badruzzaman, A., Tarek, M., VanGeen, A., Anderson, J., and Lane, J.W., 2014, Detecting well casing leaks in Bangladesh using a salt spiking method: Ground Water, v. 52, no. S1, p. 195-200, https://doi.org/10.1111/gwat.12200.","productDescription":"6 p.","startPage":"195","endPage":"200","numberOfPages":"6","ipdsId":"IP-052307","costCenters":[{"id":496,"text":"Office of Groundwater-Branch of Geophysics","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472860,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4393651","text":"External Repository"},{"id":290910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290888,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12200"}],"country":"Bangladesh","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 88.01,20.75 ], [ 88.01,26.63 ], [ 92.68,26.63 ], [ 92.68,20.75 ], [ 88.01,20.75 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-06-04","publicationStatus":"PW","scienceBaseUri":"5422bb20e4b08312ac7cefd5","contributors":{"authors":[{"text":"Stahl, M.O.","contributorId":10339,"corporation":false,"usgs":true,"family":"Stahl","given":"M.O.","email":"","affiliations":[],"preferred":false,"id":496097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ong, J.B.","contributorId":18278,"corporation":false,"usgs":true,"family":"Ong","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":496099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harvey, C.F.","contributorId":62477,"corporation":false,"usgs":true,"family":"Harvey","given":"C.F.","email":"","affiliations":[],"preferred":false,"id":496103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, C. D.","contributorId":8120,"corporation":false,"usgs":true,"family":"Johnson","given":"C. D.","affiliations":[],"preferred":false,"id":496096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Badruzzaman, A.B.M.","contributorId":35653,"corporation":false,"usgs":true,"family":"Badruzzaman","given":"A.B.M.","email":"","affiliations":[],"preferred":false,"id":496101,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tarek, M.H.","contributorId":11127,"corporation":false,"usgs":true,"family":"Tarek","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":496098,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"VanGeen, A.","contributorId":84086,"corporation":false,"usgs":true,"family":"VanGeen","given":"A.","email":"","affiliations":[],"preferred":false,"id":496104,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anderson, J.A.","contributorId":60387,"corporation":false,"usgs":true,"family":"Anderson","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":496102,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, J. W.","contributorId":31431,"corporation":false,"usgs":true,"family":"Lane","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":496100,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70189090,"text":"70189090 - 2014 - Application of near-surface geophysics as part of a hydrologic study of a subsurface drip irrigation system along the Powder River floodplain near Arvada, Wyoming","interactions":[],"lastModifiedDate":"2017-06-29T14:59:50","indexId":"70189090","displayToPublicDate":"2014-07-24T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Application of near-surface geophysics as part of a hydrologic study of a subsurface drip irrigation system along the Powder River floodplain near Arvada, Wyoming","docAbstract":"<p id=\"sp0005\">Rapid development of coalbed natural gas (CBNG) production in the Powder River Basin (PRB) of Wyoming has occurred since 1997. National attention related to CBNG development has focused on produced water management, which is the single largest cost for on-shore domestic producers. Low-cost treatment technologies allow operators to reduce their disposal costs, provide treated water for beneficial use, and stimulate oil and gas production by small operators. Subsurface drip irrigation (SDI) systems are one potential treatment option that allows for increased CBNG production by providing a beneficial use for the produced water in farmland irrigation.</p><p id=\"sp0010\">Water management practices in the development of CBNG in Wyoming have been aided by integrated geophysical, geochemical, and hydrologic studies of both the disposal and utilization of water. The U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) and the U.S. Geological Survey (USGS) have utilized multi-frequency airborne, ground, and borehole electromagnetic (EM) and ground resistivity methods to characterize the near-surface hydrogeology in areas of produced water disposal. These surveys provide near-surface EM data that can be compared with results of previous surveys to monitor changes in soils and local hydrology over time as the produced water is discharged through SDI.</p><p id=\"sp0015\">The focus of this investigation is the Headgate Draw SDI site, situated adjacent to the Powder River near the confluence of a major tributary, Crazy Woman Creek, in Johnson County, Wyoming. The SDI system was installed during the summer of 2008 and began operation in October of 2008. Ground, borehole, and helicopter electromagnetic (HEM) conductivity surveys were conducted at the site prior to the installation of the SDI system. After the installation of the subsurface drip irrigation system, ground EM surveys have been performed quarterly (weather permitting). The geophysical surveys map the heterogeneity of the near-surface geology and hydrology of the study area. The geophysical data are consistent between surveys using different techniques and between surveys carried out at different times from 2007 through 2011. This paper summarizes geophysical results from the 4-year monitoring study of the SDI system.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2013.10.009","usgsCitation":"Sams, J., Veloski, G., Smith, B.D., Minsley, B.J., Engle, M.A., Lipinski, B.A., Hammack, R.W., and Zupancic, J.W., 2014, Application of near-surface geophysics as part of a hydrologic study of a subsurface drip irrigation system along the Powder River floodplain near Arvada, Wyoming: International Journal of Coal Geology, v. 126, p. 128-139, https://doi.org/10.1016/j.coal.2013.10.009.","productDescription":"12 p.","startPage":"128","endPage":"139","ipdsId":"IP-045676","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":343160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Powder River floodplain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.14084720611572,\n              44.482728653624804\n            ],\n            [\n              -106.10921859741211,\n              44.482728653624804\n            ],\n            [\n              -106.10921859741211,\n              44.49984185895695\n            ],\n            [\n              -106.14084720611572,\n              44.49984185895695\n            ],\n            [\n              -106.14084720611572,\n              44.482728653624804\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595611c1e4b0d1f9f050679d","contributors":{"authors":[{"text":"Sams, James I.","contributorId":193983,"corporation":false,"usgs":false,"family":"Sams","given":"James I.","affiliations":[],"preferred":false,"id":702819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Veloski, Garret","contributorId":193984,"corporation":false,"usgs":false,"family":"Veloski","given":"Garret","email":"","affiliations":[],"preferred":false,"id":702820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":702818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lipinski, Brian A.","contributorId":193985,"corporation":false,"usgs":false,"family":"Lipinski","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":702821,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hammack, Richard W.","contributorId":150019,"corporation":false,"usgs":false,"family":"Hammack","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":17887,"text":"National Energy Technology Laboratory, Department of Energy","active":true,"usgs":false}],"preferred":false,"id":702822,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zupancic, John W.","contributorId":193986,"corporation":false,"usgs":false,"family":"Zupancic","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":702823,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70117138,"text":"70117138 - 2014 - Accuracy of travel time distribution (TTD) models as affected by TTD complexity, observation errors, and model and tracer selection","interactions":[],"lastModifiedDate":"2018-09-18T10:10:50","indexId":"70117138","displayToPublicDate":"2014-07-23T14:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy of travel time distribution (TTD) models as affected by TTD complexity, observation errors, and model and tracer selection","docAbstract":"Analytical models of the travel time distribution (TTD) from a source area to a sample location are often used to estimate groundwater ages and solute concentration trends. The accuracies of these models are not well known for geologically complex aquifers. In this study, synthetic datasets were used to quantify the accuracy of four analytical TTD models as affected by TTD complexity, observation errors, model selection, and tracer selection. Synthetic TTDs and tracer data were generated from existing numerical models with complex hydrofacies distributions for one public-supply well and 14 monitoring wells in the Central Valley, California. Analytical TTD models were calibrated to synthetic tracer data, and prediction errors were determined for estimates of TTDs and conservative tracer (NO<sub>3</sub>−) concentrations. Analytical models included a new, scale-dependent dispersivity model (SDM) for two-dimensional transport from the watertable to a well, and three other established analytical models. The relative influence of the error sources (TTD complexity, observation error, model selection, and tracer selection) depended on the type of prediction. Geological complexity gave rise to complex TTDs in monitoring wells that strongly affected errors of the estimated TTDs. However, prediction errors for NO3− and median age depended more on tracer concentration errors. The SDM tended to give the most accurate estimates of the vertical velocity and other predictions, although TTD model selection had minor effects overall. Adding tracers improved predictions if the new tracers had different input histories. Studies using TTD models should focus on the factors that most strongly affect the desired predictions.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014WR015625","usgsCitation":"Green, C.T., Zhang, Y., Jurgens, B., Starn, J.J., and Landon, M.K., 2014, Accuracy of travel time distribution (TTD) models as affected by TTD complexity, observation errors, and model and tracer selection: Water Resources Research, v. 50, no. 7, p. 6191-6213, https://doi.org/10.1002/2014WR015625.","productDescription":"23 p.","startPage":"6191","endPage":"6213","ipdsId":"IP-052071","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":472865,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014wr015625","text":"Publisher Index Page"},{"id":294376,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014WR015625"},{"id":294377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.7757,35.0674 ], [ -122.7757,40.7363 ], [ -118.7989,40.7363 ], [ -118.7989,35.0674 ], [ -122.7757,35.0674 ] ] ] } } ] }","volume":"50","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-30","publicationStatus":"PW","scienceBaseUri":"5422bb0de4b08312ac7ceedd","contributors":{"authors":[{"text":"Green, Christopher T. 0000-0002-6480-8194 ctgreen@usgs.gov","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":1343,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"ctgreen@usgs.gov","middleInitial":"T.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":495946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Yong","contributorId":19029,"corporation":false,"usgs":true,"family":"Zhang","given":"Yong","affiliations":[],"preferred":false,"id":495947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":22454,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","affiliations":[],"preferred":false,"id":495948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starn, J. Jeffrey","contributorId":101617,"corporation":false,"usgs":true,"family":"Starn","given":"J.","email":"","middleInitial":"Jeffrey","affiliations":[],"preferred":false,"id":495949,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495945,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70116938,"text":"70116938 - 2014 - Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska","interactions":[],"lastModifiedDate":"2018-09-18T16:17:48","indexId":"70116938","displayToPublicDate":"2014-07-17T15:28:00","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":"Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska","docAbstract":"We assessed temporal variation in mercury (Hg) concentrations of threespine stickleback (<i>Gasterosteus aculeatus</i>) from Agattu Island, Aleutian Archipelago, Alaska. Total Hg concentrations in whole-bodied stickleback were measured at two-week intervals from two sites in each of two lakes from June 1 to August 10, 2011 during the time period when lakes were ice-free. Across all sites and sampling events, stickleback Hg concentrations ranged from 0.37–1.07 µg/g dry weight (dw), with a mean (± SE) of 0.55±0.01 µg/g dw. Mean fish Hg concentrations declined by 9% during the study period, from 0.57±0.01 µg/g dw in early June to 0.52±0.01 µg/g dw in mid-August. Mean fish Hg concentrations were 6% higher in Loon Lake (0.56±0.01 µg/g dw) than in Lake 696 (0.53±0.01 µg/g dw), and 4% higher in males (0.56±0.01 µg/g dw) than in females (0.54±0.01 µg/g dw). Loon Lake was distinguished from Lake 696 by the presence of piscivorous waterbirds during the breeding season. Mercury concentrations in stickleback from Agattu Island were higher than would be expected for an area without known point sources of Hg pollution, and high enough to be of concern to the health of piscivorous wildlife.","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0102244","usgsCitation":"Kenney, L., Eagles-Smith, C.A., Ackerman, J., and von Hippel, F., 2014, Temporal variation in fish mercury concentrations within lakes from the western Aleutian Archipelago, Alaska: PLoS ONE, v. 9, no. 7, 7 p., https://doi.org/10.1371/journal.pone.0102244.","productDescription":"7 p.","numberOfPages":"7","ipdsId":"IP-051925","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472870,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0102244","text":"Publisher Index Page"},{"id":290396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290381,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0102244"}],"country":"United States","state":"Alaska","otherGeospatial":"Agattu Island;Aleutian Archipelago","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.353562,52.352271 ], [ 173.353562,52.513793 ], [ 173.776505,52.513793 ], [ 173.776505,52.352271 ], [ 173.353562,52.352271 ] ] ] } } ] }","volume":"9","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-16","publicationStatus":"PW","scienceBaseUri":"53cd768ce4b0b2908510af63","contributors":{"authors":[{"text":"Kenney, Leah A.","contributorId":67011,"corporation":false,"usgs":true,"family":"Kenney","given":"Leah A.","affiliations":[],"preferred":false,"id":495899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":495898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":495901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Hippel, Frank A.","contributorId":96599,"corporation":false,"usgs":true,"family":"von Hippel","given":"Frank A.","affiliations":[],"preferred":false,"id":495900,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175226,"text":"70175226 - 2014 - Demographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin","interactions":[],"lastModifiedDate":"2021-01-04T15:36:46.692309","indexId":"70175226","displayToPublicDate":"2014-07-17T10:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Demographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin","docAbstract":"<p><span>Energy development, in combination with other environmental stressors, poses a persistent threat to rare species endemic to energy-producing regions of the western United States. Demographic analyses of monitored populations can provide key information on the natural dynamics of threatened plant and animal populations and how these dynamics might be affected by present and future development. In the Uinta Basin in Utah and Colorado, Graham's beardtongue (</span><i>Penstemon grahamii</i><span>) and White River beardtongue (</span><i>Penstemon scariosus</i><span>&nbsp;var.&nbsp;</span><i>albifluvis</i><span>) are 2 rare endemic wildflowers that persist on oil shale habitats that are heavily impacted by current energy exploration and development and are slated for expanded traditional drilling and oil shale development. We described demographic characteristics and population viability for 2 populations of each species that have been monitored since 2004. First, we measured population size, survival rates, transitions between life stages, and recruitment by using individually marked plants at the 4 study areas. We then used matrix population models to determine stochastic population growth rates (λ) and the probability that each population would persist 50 years into the future, given current conditions. The 2&nbsp;</span><i>P. grahamii</i><span>&nbsp;study plots had small populations, averaging 70 adult plants, and relatively constant and high survival in both vegetative and flowering plants. The 2&nbsp;</span><i>P. scariosus</i><span>&nbsp;var.&nbsp;</span><i>albifluvis</i><span>&nbsp;study plots had populations that averaged 120 adult plants, with high and stable survival in flowering plants and variable survival in vegetative plants. Recruitment of new seedlings into all populations was low and variable, with most recruitment occurring in one or 2 years. Both&nbsp;</span><i>P. grahamii</i><span>&nbsp;populations had λ near 1.0 (stable). One&nbsp;</span><i>P. scariosus</i><span>&nbsp;var.&nbsp;</span><i>albifluvis</i><span>&nbsp;population appeared to be declining (λ = 0.97), whereas the other was increasing (λ = 1.16). Our analyses reveal populations that appear relatively stable, but that are susceptible to declines now and into the future. Increases in environmental variability, deterministic changes in habitat conditions or stressors, or a single catastrophic event could all have immediately deleterious impacts on the long-term growth trajectory of these populations.</span></p>","language":"English","publisher":"M.L. Bean Museum","publisherLocation":"Provo, UT","doi":"10.3398/064.074.0302","usgsCitation":"McCaffery, R., Reisor, R., Irvine, K.M., and Brunson, J., 2014, Demographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin: Western North American Naturalist, v. 74, no. 3, p. 257-274, https://doi.org/10.3398/064.074.0302.","productDescription":"18 p.","startPage":"257","endPage":"274","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048882","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":487786,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol74/iss3/1","text":"External Repository"},{"id":326010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Uinta Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.060791015625,\n              38.14751758025121\n            ],\n            [\n              -109.05029296875,\n              38.14751758025121\n            ],\n            [\n              -109.05029296875,\n              40.95501133048621\n            ],\n            [\n              -111.060791015625,\n              40.95501133048621\n            ],\n            [\n              -111.060791015625,\n              38.14751758025121\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a315bde4b006cb45558a4c","contributors":{"authors":[{"text":"McCaffery, Rebecca M.","contributorId":57364,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca M.","affiliations":[],"preferred":false,"id":644418,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reisor, Rita","contributorId":173368,"corporation":false,"usgs":false,"family":"Reisor","given":"Rita","email":"","affiliations":[{"id":27215,"text":"Red Butte Garden and Arboretum","active":true,"usgs":false}],"preferred":false,"id":644419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":644417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brunson, Jessi","contributorId":173369,"corporation":false,"usgs":false,"family":"Brunson","given":"Jessi","email":"","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":644420,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188040,"text":"70188040 - 2014 - Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR","interactions":[],"lastModifiedDate":"2017-05-31T16:11:15","indexId":"70188040","displayToPublicDate":"2014-07-17T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR","docAbstract":"<p><span>Vegetation structure, including forest canopy height, is an important input variable to fire behavior modeling systems for simulating wildfire behavior. As such, forest canopy height is one of a nationwide suite of products generated by the LANDFIRE program. In the past, LANDFIRE has relied on a combination of field observations and Landsat imagery to develop existing vegetation structure products. The paucity of field data in the remote Alaskan forests has led to a very simple forest canopy height classification for the original LANDFIRE forest height map. To better meet the needs of data users and refine the map legend, LANDFIRE incorporated ICESat Geoscience Laser Altimeter System (GLAS) data into the updating process when developing the LANDFIRE 2010 product. The high latitude of this region enabled dense coverage of discrete GLAS samples, from which forest height was calculated. Different methods for deriving height from the GLAS waveform data were applied, including an attempt to correct for slope. These methods were then evaluated and integrated into the final map according to predefined criteria. The resulting map of forest canopy height includes more height classes than the original map, thereby better depicting the heterogeneity of the landscape, and provides seamless data for fire behavior analysts and other users of LANDFIRE data.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs61212409","usgsCitation":"Peterson, B., and Nelson, K., 2014, Mapping forest height in Alaska using GLAS, Landsat composites, and airborne LiDAR: Remote Sensing, v. 6, no. 125, p. 12409-12426, https://doi.org/10.3390/rs61212409.","productDescription":"18 p.","startPage":"12409","endPage":"12426","ipdsId":"IP-057857","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs61212409","text":"Publisher Index 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,{"id":70189605,"text":"70189605 - 2014 - High-frequency imaging of elastic contrast and contact area with implications for naturally observed changes in fault properties","interactions":[],"lastModifiedDate":"2017-07-19T10:06:23","indexId":"70189605","displayToPublicDate":"2014-07-17T00:00:00","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":"High-frequency imaging of elastic contrast and contact area with implications for naturally observed changes in fault properties","docAbstract":"<p><span>During localized slip of a laboratory fault we simultaneously measure the contact area and the dynamic fault normal elastic stiffness. One objective is to determine conditions where stiffness may be used to infer changes in area of contact during sliding on nontransparent fault surfaces. Slip speeds between 0.01 and 10 µm/s and normal stresses between 1 and 2.5 MPa were imposed during velocity step, normal stress step, and slide-hold-slide tests. Stiffness and contact area have a linear interdependence during rate stepping tests and during the hold portion of slide-hold-slide tests. So long as linearity holds, measured fault stiffness can be used on nontransparent materials to infer changes in contact area. However, there are conditions where relations between contact area and stiffness are nonlinear and nonunique. A second objective is to make comparisons between the laboratory- and field-measured changes in fault properties. Time-dependent changes in fault zone normal stiffness made in stress relaxation tests imply postseismic wave speed changes on the order of 0.3% to 0.8% per year in the two or more years following an earthquake; these are smaller than postseismic increases seen within natural damage zones. Based on scaling of the experimental observations, natural postseismic fault normal contraction could be accommodated within a few decimeter wide fault core. Changes in the stiffness of laboratory shear zones exceed 10% per decade and might be detectable in the field postseismically.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JB011014","usgsCitation":"Nagata, K., Kilgore, B.D., Beeler, N.M., and Nakatani, M., 2014, High-frequency imaging of elastic contrast and contact area with implications for naturally observed changes in fault properties: Journal of Geophysical Research, v. 119, no. 7, p. 5855-5875, https://doi.org/10.1002/2014JB011014.","productDescription":"21 p.","startPage":"5855","endPage":"5875","ipdsId":"IP-057613","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011014","text":"Publisher Index Page"},{"id":344026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-02","publicationStatus":"PW","scienceBaseUri":"59706fbce4b0d1f9f065a8f4","contributors":{"authors":[{"text":"Nagata, Kohei","contributorId":194792,"corporation":false,"usgs":false,"family":"Nagata","given":"Kohei","email":"","affiliations":[],"preferred":false,"id":705386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kilgore, Brian D. 0000-0003-0530-7979 bkilgore@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7979","contributorId":3887,"corporation":false,"usgs":true,"family":"Kilgore","given":"Brian","email":"bkilgore@usgs.gov","middleInitial":"D.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":705384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nakatani, Masao","contributorId":194793,"corporation":false,"usgs":false,"family":"Nakatani","given":"Masao","email":"","affiliations":[],"preferred":false,"id":705387,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70103633,"text":"70103633 - 2014 - Characterization of the porosity distribution in the upper part of the karst Biscayne aquifer using common offset ground penetrating radar, Everglades National Park, Florida","interactions":[],"lastModifiedDate":"2017-03-24T14:23:02","indexId":"70103633","displayToPublicDate":"2014-07-16T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the porosity distribution in the upper part of the karst Biscayne aquifer using common offset ground penetrating radar, Everglades National Park, Florida","docAbstract":"<p id=\"sp0010\">The karst Biscayne aquifer is characterized by a heterogeneous spatial arrangement of porosity and hydraulic conductivity, making conceptualization difficult. The Biscayne aquifer is the primary source of drinking water for millions of people in south Florida; thus, information concerning the distribution of karst features that concentrate the groundwater flow and affect contaminant transport is critical. The principal purpose of the study was to investigate the ability of two-dimensional ground penetrating radar (GPR) to rapidly characterize porosity variability in the karst Biscayne aquifer in south Florida. An 800-m-long GPR transect of a previously investigated area at the Long Pine Key Nature Trail in Everglades National Park, collected in fast acquisition common offset mode, shows hundreds of diffraction hyperbolae. The distribution of diffraction hyperbolae was used to estimate electromagnetic (EM) wave velocity at each diffraction location and to assess both horizontal and vertical changes in velocity within the transect. A petrophysical model (complex refractive index model or CRIM) was used to estimate total bulk porosity. A set of common midpoint surveys at selected locations distributed along the common-offset transect also were collected for comparison with the common offsets and were used to constrain one-dimensional (1-D) distributions of porosity with depth. Porosity values for the saturated Miami Limestone ranged between 25% and 41% for common offset GPR surveys, and between 23% and 39% for common midpoint GPR surveys. Laboratory measurements of porosity in five whole-core samples from the saturated part of the aquifer in the study area ranged between 7.1% and 41.8%. GPR estimates of porosity were found to be valid only under saturated conditions; other limitations are related to the vertical resolution of the GPR signal and the volume of the material considered by the measurement methodology. Overall, good correspondence between GPR estimates and the direct porosity values from the whole-core samples confirms the ability of GPR common offset surveys to provide rapid characterization of porosity variability in the Biscayne aquifer.</p><p id=\"sp0015\">The common offset survey method has several advantages: (1) improved time efficiency in comparison to other GPR acquisition modes such as common midpoints; and (2) enhanced lateral continuity of porosity estimates, particularly when compared to porosity measurements on 1-D samples such as rock cores. The results also support the presence of areas of low EM wave velocity or high porosity under saturated conditions, causing velocity pull-down areas and apparent sag features in the reflection record. This study shows that GPR can be a useful tool for improving understanding of the petrophysical properties of highly heterogeneous systems such as karst aquifers, and thus may assist with the development of more accurate groundwater flow models, such as those used for restoration efforts in the Everglades.</p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.jhydrol.2014.04.048","usgsCitation":"Mountain, G.S., Cunningham, K.J., and Comas, X., 2014, Characterization of the porosity distribution in the upper part of the karst Biscayne aquifer using common offset ground penetrating radar, Everglades National Park, Florida: Journal of Hydrology, v. 515, p. 223-236, https://doi.org/10.1016/j.jhydrol.2014.04.048.","productDescription":"14 p.","startPage":"223","endPage":"236","ipdsId":"IP-044930","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":338316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Long Pine Key Nature Trail","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.646389,\n              25.402778\n            ],\n            [\n              -80.638056,\n              25.402778\n            ],\n            [\n              -80.638056,\n              25.398889\n            ],\n            [\n              -80.646389,\n              25.398889\n            ],\n            [\n              -80.646389,\n              25.402778\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"515","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58d63039e4b05ec7991310ef","contributors":{"authors":[{"text":"Mountain, Gregory S.","contributorId":29154,"corporation":false,"usgs":true,"family":"Mountain","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":686106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Comas, Xavier","contributorId":176879,"corporation":false,"usgs":false,"family":"Comas","given":"Xavier","affiliations":[],"preferred":false,"id":686107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":518818,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156830,"text":"70156830 - 2014 - Dynamic response to strike-slip tectonic control on the deposition and evolution of the Baranof Fan, Gulf of Alaska","interactions":[],"lastModifiedDate":"2015-08-31T09:45:54","indexId":"70156830","displayToPublicDate":"2014-07-14T10:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic response to strike-slip tectonic control on the deposition and evolution of the Baranof Fan, Gulf of Alaska","docAbstract":"<p><span>The Baranof Fan is one of three large deep-sea fans in the Gulf of Alaska, and is a key component in understanding large-scale erosion and sedimentation patterns for southeast Alaska and western Canada. We integrate new and existing seismic reflection profiles to provide new constraints on the Baranof Fan area, geometry, volume, and channel development. We estimate the fan&rsquo;s area and total sediment volume to be &sim;323,000 km</span><sup>2</sup><span>&nbsp;and &sim;301,000 km</span><sup>3</sup><span>, respectively, making it among the largest deep-sea fans in the world. We show that the Baranof Fan consists of channel-levee deposits from at least three distinct aggradational channel systems: the currently active Horizon and Mukluk channels, and the waning system we call the Baranof channel. The oldest sedimentary deposits are in the northern fan, and the youngest deposits at the fan&rsquo;s southern extent; in addition, the channels seem to avulse southward consistently through time. We suggest that Baranof Fan sediment is sourced from the Coast Mountains in southeastern Alaska, transported offshore most recently via fjord to glacial sea valley conduits. Because of the translation of the Pacific plate northwest past sediment sources on the North American plate along the Queen Charlotte strike-slip fault, we suggest that new channel formation, channel beheadings, and southward-migrating channel avulsions have been influenced by regional tectonics. Using a simplified tectonic reconstruction assuming a constant Pacific plate motion of 4.4 cm/yr, we estimate that Baranof Fan deposition initiated ca. 7 Ma.</span></p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES01034.1","usgsCitation":"Walton, M.A., Gulick, S., Reece, R.S., Barth, G., Christeson, G.L., and VanAvendonk, H.J., 2014, Dynamic response to strike-slip tectonic control on the deposition and evolution of the Baranof Fan, Gulf of Alaska: Geosphere, v. 10, no. 4, p. 680-691, https://doi.org/10.1130/GES01034.1.","productDescription":"12 p.","startPage":"680","endPage":"691","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054718","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":472878,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01034.1","text":"Publisher Index Page"},{"id":307710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e57aade4b05561fa20868e","contributors":{"authors":[{"text":"Walton, Maureen A. L.","contributorId":147200,"corporation":false,"usgs":false,"family":"Walton","given":"Maureen","email":"","middleInitial":"A. L.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":570736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gulick, Sean P. S.","contributorId":147201,"corporation":false,"usgs":false,"family":"Gulick","given":"Sean P. S.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":570737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reece, Robert S.","contributorId":147202,"corporation":false,"usgs":false,"family":"Reece","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":570738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barth, Ginger A. gbarth@usgs.gov","contributorId":3595,"corporation":false,"usgs":true,"family":"Barth","given":"Ginger A.","email":"gbarth@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":570735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christeson, Gail L.","contributorId":147203,"corporation":false,"usgs":false,"family":"Christeson","given":"Gail","email":"","middleInitial":"L.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":570739,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"VanAvendonk, Harm J.","contributorId":147204,"corporation":false,"usgs":false,"family":"VanAvendonk","given":"Harm","email":"","middleInitial":"J.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":570740,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70116232,"text":"70116232 - 2014 - Investigating the potential role of persistent organic pollutants in Hawaiian green sea turtle fibropapillomatosis","interactions":[],"lastModifiedDate":"2016-08-31T16:13:13","indexId":"70116232","displayToPublicDate":"2014-07-09T13:55:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the potential role of persistent organic pollutants in Hawaiian green sea turtle fibropapillomatosis","docAbstract":"<p><span>It has been hypothesized for decades that environmental pollutants may contribute to green sea turtle fibropapillomatosis (FP), possibly through immunosuppression leading to greater susceptibility to the herpesvirus, the putative causative agent of this tumor-forming disease. To address this question, we measured concentrations of 164 persistent organic pollutants (POPs) and halogenated phenols in 53 Hawaiian green turtle (</span><i>Chelonia mydas</i><span>) plasma samples archived by the Biological and Environmental Monitoring and Archival of Sea Turtle Tissues (BEMAST) project at the National Institute of Standards and Technology Marine Environmental Specimen Bank. Four groups of turtles were examined: free-ranging turtles from Kiholo Bay (0% FP, Hawaii), Kailua Bay (low FP, 8%, Oahu), and Kapoho Bay (moderate FP, 38%, Hawaii) and severely tumored stranded turtles that required euthanasia (high FP, 100%, Main Hawaiian Islands). Four classes of POPs and seven halogenated phenols were detected in at least one of the turtles, and concentrations were low (often &lt;200 pg/g wet mass). The presence of halogenated phenols in sea turtles is a novel discovery; their concentrations were higher than most man-made POPs, suggesting that the source of most of these compounds was likely natural (produced by the algal turtle diet) rather than metabolites of man-made POPs. None of the compounds measured increased in concentration with increasing prevalence of FP across the four groups of turtles, suggesting that these 164 compounds are not likely primary triggers for the onset of FP. However, the stranded, severely tumored, emaciated turtle group (</span><i>n</i><span><span class=\"Apple-converted-space\">&nbsp;</span>= 14) had the highest concentrations of POPs, which might suggest that mobilization of contaminants with lipids into the blood during late-stage weight loss could contribute to the progression of the disease. Taken together, these data suggest that POPs are not a major cofactor in causing the onset of FP.</span></p>","language":"English","publisher":"American Chemical Society","publisherLocation":"Easton, PA","doi":"10.1021/es5014054","usgsCitation":"Keller, J.M., Balazs, G.H., Nilsen, F., Rice, M., Work, T.M., and Jensen, B.A., 2014, Investigating the potential role of persistent organic pollutants in Hawaiian green sea turtle fibropapillomatosis: Environmental Science & Technology, v. 48, no. 14, p. 7807-7816, https://doi.org/10.1021/es5014054.","productDescription":"10 p.","startPage":"7807","endPage":"7816","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057745","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":289678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289677,"type":{"id":10,"text":"Digital Object 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 \"}}]}","volume":"48","issue":"14","noUsgsAuthors":false,"publicationDate":"2014-07-03","publicationStatus":"PW","scienceBaseUri":"53be5652e4b0527d5d409794","contributors":{"authors":[{"text":"Keller, Jennifer M.","contributorId":25080,"corporation":false,"usgs":true,"family":"Keller","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":495734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balazs, George H.","contributorId":88195,"corporation":false,"usgs":true,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":495738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nilsen, Frances","contributorId":71099,"corporation":false,"usgs":true,"family":"Nilsen","given":"Frances","email":"","affiliations":[],"preferred":false,"id":495737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rice, Marc","contributorId":32827,"corporation":false,"usgs":true,"family":"Rice","given":"Marc","affiliations":[],"preferred":false,"id":495735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":495733,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Brenda A.","contributorId":40130,"corporation":false,"usgs":true,"family":"Jensen","given":"Brenda","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495736,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70136311,"text":"70136311 - 2014 - Polar bears from space: Assessing satellite imagery as a tool to track Arctic wildlife","interactions":[],"lastModifiedDate":"2018-04-04T11:39:26","indexId":"70136311","displayToPublicDate":"2014-07-09T10:45:00","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":"Polar bears from space: Assessing satellite imagery as a tool to track Arctic wildlife","docAbstract":"<p>Development of efficient techniques for monitoring wildlife is a priority in the Arctic, where the impacts of climate change are acute and remoteness and logistical constraints hinder access. We evaluated high resolution satellite imagery as a tool to track the distribution and abundance of polar bears. We examined satellite images of a small island in Foxe Basin, Canada, occupied by a high density of bears during the summer ice-free season. Bears were distinguished from other light-colored spots by comparing images collected on different dates. A sample of ground-truthed points demonstrated that we accurately classified bears. Independent observers reviewed images and a population estimate was obtained using mark- recapture models. This estimate (N: 94; 95% Confidence Interval: 92-105) was remarkably similar to an abundance estimate derived from a line transect aerial survey conducted a few days earlier (N: 102; 95% CI: 69-152). Our findings suggest that satellite imagery is a promising tool for monitoring polar bears on land, with implications for use with other Arctic wildlife. Large scale applications may require development of automated detection processes to expedite review and analysis. Future research should assess the utility of multi-spectral imagery and examine sites with different environmental characteristics.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0101513","usgsCitation":"Stapleton, S.P., LaRue, M.A., Lecomte, N., Atkinson, S.N., Garshelis, D., Porter, C., and Atwood, T.C., 2014, Polar bears from space: Assessing satellite imagery as a tool to track Arctic wildlife: PLoS ONE, v. 9, p. 1-7, https://doi.org/10.1371/journal.pone.0101513.","productDescription":"7 p.","startPage":"1","endPage":"7","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051002","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":472882,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0101513","text":"Publisher Index Page"},{"id":296917,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1371/journal.pone.0101513"},{"id":296919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2014-07-09","publicationStatus":"PW","scienceBaseUri":"54dd2c27e4b08de9379b366a","contributors":{"authors":[{"text":"Stapleton, Seth P. sstapleton@usgs.gov","contributorId":3979,"corporation":false,"usgs":true,"family":"Stapleton","given":"Seth","email":"sstapleton@usgs.gov","middleInitial":"P.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537334,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaRue, Michelle A.","contributorId":20634,"corporation":false,"usgs":true,"family":"LaRue","given":"Michelle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":537348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lecomte, Nicolas","contributorId":131119,"corporation":false,"usgs":false,"family":"Lecomte","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":537349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atkinson, Stephen N.","contributorId":12365,"corporation":false,"usgs":false,"family":"Atkinson","given":"Stephen","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":537350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garshelis, David L.","contributorId":89457,"corporation":false,"usgs":true,"family":"Garshelis","given":"David L.","affiliations":[],"preferred":false,"id":537351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Porter, Claire","contributorId":131120,"corporation":false,"usgs":false,"family":"Porter","given":"Claire","email":"","affiliations":[],"preferred":false,"id":537352,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537335,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70115942,"text":"70115942 - 2014 - High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors","interactions":[],"lastModifiedDate":"2014-07-08T15:12:01","indexId":"70115942","displayToPublicDate":"2014-07-08T15:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors","docAbstract":"Evapotranspiration estimation has benefitted from recent advances in remote sensing and GIS techniques particularly in agricultural applications rather than urban environments. This paper explores the relationship between urban vegetation evapotranspiration (ET) and vegetation indices derived from newly-developed high spatial resolution WorldView-2 imagery. The study site was Veale Gardens in Adelaide, Australia. Image processing was applied on five images captured from February 2012 to February 2013 using ERDAS Imagine. From 64 possible two band combinations of WorldView-2, the most reliable one (with the maximum median differences) was selected. Normalized Difference Vegetation Index (NDVI) values were derived for each category of landscape cover, namely trees, shrubs, turf grasses, impervious pavements, and water bodies. Urban landscape evapotranspiration rates for Veale Gardens were estimated through field monitoring using observational-based landscape coefficients. The relationships between remotely sensed NDVIs for the entire Veale Gardens and for individual NDVIs of different vegetation covers were compared with field measured urban landscape evapotranspiration rates. The water stress conditions experienced in January 2013 decreased the correlation between ET and NDVI with the highest relationship of ET-Landscape NDVI (Landscape Normalized Difference Vegetation Index) for shrubs (r<sup>2</sup> = 0.66) and trees (r<sup>2</sup> = 0.63). However, when the January data was excluded, there was a significant correlation between ET and NDVI. The highest correlation for ET-Landscape NDVI was found for the entire Veale Gardens regardless of vegetation type (r<sup>2</sup> = 0.95, p > 0.05) and the lowest one was for turf (r<sup>2</sup> = 0.88, p > 0.05). In support of the feasibility of ET estimation by WV2 over a longer period, an algorithm recently developed that estimates evapotranspiration rates based on the Enhanced Vegetation Index (EVI) from MODIS was employed. The results revealed a significant positive relationship between ETMODIS and ETWV2 (r<sup>2</sup> = 0.9857, p > 0.05). This indicates that the relationship between NDVI using high resolution WorldView-2 imagery and ground-based validation approaches could provide an effective predictive tool for determining ET rates from unstressed mixed urban landscape plantings.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI AG","publisherLocation":"Basel, Switzerland","doi":"10.3390/rs6010580","usgsCitation":"Nouri, H., Beecham, S., Anderson, S., and Nagler, P., 2014, High spatial resolution WorldView-2 imagery for mapping NDVI and its relationship to temporal urban landscape evapotranspiration factors: Remote Sensing, v. 6, no. 1, p. 580-602, https://doi.org/10.3390/rs6010580.","productDescription":"23 p.","startPage":"580","endPage":"602","numberOfPages":"23","ipdsId":"IP-049133","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472885,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs6010580","text":"Publisher Index Page"},{"id":289558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289556,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/rs6010580"}],"country":"Australia","city":"Adelaide","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 138.593373,-34.942277 ], [ 138.593373,-34.935021 ], [ 138.602208,-34.935021 ], [ 138.602208,-34.942277 ], [ 138.593373,-34.942277 ] ] ] } } ] }","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-06","publicationStatus":"PW","scienceBaseUri":"53bd04d9e4b00cbf31f7232b","contributors":{"authors":[{"text":"Nouri, Hamideh 0000-0002-7424-5030","orcid":"https://orcid.org/0000-0002-7424-5030","contributorId":16327,"corporation":false,"usgs":true,"family":"Nouri","given":"Hamideh","email":"","affiliations":[],"preferred":false,"id":495715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beecham, Simon","contributorId":95397,"corporation":false,"usgs":true,"family":"Beecham","given":"Simon","affiliations":[],"preferred":false,"id":495717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Sharolyn","contributorId":22697,"corporation":false,"usgs":true,"family":"Anderson","given":"Sharolyn","affiliations":[],"preferred":false,"id":495716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nagler, Pamela 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":8748,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","affiliations":[],"preferred":false,"id":495714,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70115626,"text":"70115626 - 2014 - Effects of disturbance associated with seismic exploration for oil and gas reserves in coastal marshes","interactions":[],"lastModifiedDate":"2014-07-07T13:32:37","indexId":"70115626","displayToPublicDate":"2014-07-07T13:17:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of disturbance associated with seismic exploration for oil and gas reserves in coastal marshes","docAbstract":"Anthropogenic disturbances in wetland ecosystems can alter the composition and structure of plant assemblages and affect system functions. Extensive oil and gas extraction has occurred in wetland habitats along the northern Gulf of Mexico coast since the early 1900s. Activities involved with three-dimensional (3D) seismic exploration for these resources cause various disturbances to vegetation and soils. We documented the impact of a 3D seismic survey in coastal marshes in Louisiana, USA, along transects established before exploration began. Two semi-impounded marshes dominated by <i>Spartina patens</i> were in the area surveyed. Vegetation, soil, and water physicochemical data were collected before the survey, about 6 weeks following its completion, and every 3 months thereafter for 2 years. Soil cores for seed bank emergence experiments were also collected. Maximum vegetation height at impact sites was reduced in both marshes 6 weeks following the survey. In one marsh, total vegetation cover was also reduced, and dead vegetation cover increased, at impact sites 6 weeks after the survey. These effects, however, did not persist 3 months later. No effects on soil or water properties were identified. The total number of seeds that germinated during greenhouse studies increased at impact sites 5 months following the survey in both marshes. Although some seed bank effects persisted 1 year, these effects were not reflected in standing vegetation. The marshes studied were therefore resilient to the impacts resulting from 3D seismic exploration because vegetation responses were short term in that they could not be identified a few months following survey completion.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s00267-014-0274-2","usgsCitation":"Howard, R.J., Wells, C.J., Michot, T.C., and Johnson, D., 2014, Effects of disturbance associated with seismic exploration for oil and gas reserves in coastal marshes: Environmental Management, v. 54, no. 1, p. 30-50, https://doi.org/10.1007/s00267-014-0274-2.","productDescription":"21 p.","startPage":"30","endPage":"50","numberOfPages":"21","ipdsId":"IP-046156","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":289476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":289475,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-014-0274-2"}],"projection":"Universal Transverse Mercator, zone 15","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0,29.666667 ], [ -94.0,30.166667 ], [ -93.166667,30.166667 ], [ -93.166667,29.666667 ], [ -94.0,29.666667 ] ] ] } } ] }","volume":"54","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-05-01","publicationStatus":"PW","scienceBaseUri":"53bbb34fe4b084059e8bfeab","contributors":{"authors":[{"text":"Howard, Rebecca J. 0000-0001-7264-4364 howardr@usgs.gov","orcid":"https://orcid.org/0000-0001-7264-4364","contributorId":2429,"corporation":false,"usgs":true,"family":"Howard","given":"Rebecca","email":"howardr@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":495655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wells, Christopher J. wellsc@usgs.gov","contributorId":5607,"corporation":false,"usgs":true,"family":"Wells","given":"Christopher","email":"wellsc@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":495656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michot, Thomas C. 0000-0002-7044-987X","orcid":"https://orcid.org/0000-0002-7044-987X","contributorId":57935,"corporation":false,"usgs":true,"family":"Michot","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":495657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Darren J.","contributorId":100291,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren J.","affiliations":[],"preferred":false,"id":495658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70115555,"text":"70115555 - 2014 - Three-year growth response of young Douglas-fir to nitrogen, calcium, phosphorus, and blended fertilizers in Oregon and Washington","interactions":[],"lastModifiedDate":"2017-11-24T17:45:57","indexId":"70115555","displayToPublicDate":"2014-07-07T09:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Three-year growth response of young Douglas-fir to nitrogen, calcium, phosphorus, and blended fertilizers in Oregon and Washington","docAbstract":"Studies of nutrient limitation in Douglas-fir forests of the Pacific Northwest focus predominantly on nitrogen, yet many stands demonstrate negligible or even negative growth response to nitrogen fertilization. To understand what nutrients other than nitrogen may limit forest productivity in this region, we tested six fertilizer treatments for their ability to increase stem volume growth response of dominant and co-dominant trees in young Douglas-fir plantations across a range of foliar and soil chemistry in western Oregon and Washington. We evaluated responses to single applications of urea, lime, calcium chloride, or monosodium phosphate at 16 sites, and to two site-specific nutrients blends at 12 of these sites. Across sites, the average stem volume growth increased marginally with urea, lime, and phosphorus fertilization. Fertilization responses generally aligned with plant and soil indicators of nutrient limitation. Response to nitrogen addition was greatest on soils with low total nitrogen and high exchangeable calcium concentrations. Responses to lime and calcium chloride additions were greatest at sites with low foliar calcium and low soil pH. Response to phosphorus addition was greatest on sites with low foliar phosphorus and high soil pH. Blended fertilizers yielded only marginal growth increases at one site, with no consistent effect across sites. Overall, our results highlight that calcium and phosphorus can be important growth limiting nutrients on specific sites in nitrogen-rich Douglas-fir forests of the Pacific Northwest.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2014.05.005","usgsCitation":"Mainwaring, D.B., Maguire, D.A., and Perakis, S., 2014, Three-year growth response of young Douglas-fir to nitrogen, calcium, phosphorus, and blended fertilizers in Oregon and Washington: Forest Ecology and Management, v. 327, p. 178-188, https://doi.org/10.1016/j.foreco.2014.05.005.","productDescription":"11 p.","startPage":"178","endPage":"188","ipdsId":"IP-027655","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":289449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Pacific Northwest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,42.0 ], [ -124.79,49.0 ], [ -121.09,49.0 ], [ -121.09,42.0 ], [ -124.79,42.0 ] ] ] } } ] }","volume":"327","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53bbb351e4b084059e8bfeb1","contributors":{"authors":[{"text":"Mainwaring, Douglas B.","contributorId":43274,"corporation":false,"usgs":true,"family":"Mainwaring","given":"Douglas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":495652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maguire, Douglas A.","contributorId":71142,"corporation":false,"usgs":true,"family":"Maguire","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":495653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":16797,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven S.","affiliations":[],"preferred":false,"id":495651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70118111,"text":"70118111 - 2014 - Climate-driven effects of fire on winter habitat for caribou in the Alaskan-Yukon Arctic","interactions":[],"lastModifiedDate":"2014-07-25T15:30:39","indexId":"70118111","displayToPublicDate":"2014-07-03T15:23:00","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":"Climate-driven effects of fire on winter habitat for caribou in the Alaskan-Yukon Arctic","docAbstract":"Climatic warming has direct implications for fire-dominated disturbance patterns in northern ecosystems. A transforming wildfire regime is altering plant composition and successional patterns, thus affecting the distribution and potentially the abundance of large herbivores. Caribou (<i>Rangifer tarandus</i>) are an important subsistence resource for communities throughout the north and a species that depends on terrestrial lichen in late-successional forests and tundra systems. Projected increases in area burned and reductions in stand ages may reduce lichen availability within caribou winter ranges. Sufficient reductions in lichen abundance could alter the capacity of these areas to support caribou populations. To assess the potential role of a changing fire regime on winter habitat for caribou, we used a simulation modeling platform, two global circulation models (GCMs), and a moderate emissions scenario to project annual fire characteristics and the resulting abundance of lichen-producing vegetation types (i.e., spruce forests and tundra >60 years old) across a modeling domain that encompassed the winter ranges of the Central Arctic and Porcupine caribou herds in the Alaskan-Yukon Arctic. Fires were less numerous and smaller in tundra compared to spruce habitats throughout the 90-year projection for both GCMs. Given the more likely climate trajectory, we projected that the Porcupine caribou herd, which winters primarily in the boreal forest, could be expected to experience a greater reduction in lichen-producing winter habitats (−21%) than the Central Arctic herd that wintered primarily in the arctic tundra (−11%). Our results suggest that caribou herds wintering in boreal forest will undergo fire-driven reductions in lichen-producing habitats that will, at a minimum, alter their distribution. Range shifts of caribou resulting from fire-driven changes to winter habitat may diminish access to caribou for rural communities that reside in fire-prone areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0100588","usgsCitation":"Gustine, D.D., Brinkman, T.J., Lindgren, M.A., Schmidt, J.I., Rupp, T., and Adams, L., 2014, Climate-driven effects of fire on winter habitat for caribou in the Alaskan-Yukon Arctic: PLoS ONE, v. 9, no. 7, 11 p., https://doi.org/10.1371/journal.pone.0100588.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"Y","ipdsId":"IP-052662","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":472889,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0100588","text":"Publisher Index Page"},{"id":291042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291037,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0100588"}],"country":"Canada;United States","state":"Alaska;Yukon","otherGeospatial":"Alaskan-yukon Arctic","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -151.56,63.83 ], [ -151.56,70.59 ], [ -133.51,70.59 ], [ -133.51,63.83 ], [ -151.56,63.83 ] ] ] } } ] }","volume":"9","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-03","publicationStatus":"PW","scienceBaseUri":"57f7f0bbe4b0bc0bec09f954","contributors":{"authors":[{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","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":496353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brinkman, Todd J.","contributorId":39696,"corporation":false,"usgs":true,"family":"Brinkman","given":"Todd","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":496356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindgren, Michael A.","contributorId":33237,"corporation":false,"usgs":true,"family":"Lindgren","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":496355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Jennifer I.","contributorId":98656,"corporation":false,"usgs":true,"family":"Schmidt","given":"Jennifer","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":496357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rupp, T. Scott","contributorId":21395,"corporation":false,"usgs":true,"family":"Rupp","given":"T. Scott","affiliations":[],"preferred":false,"id":496354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":496352,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70125292,"text":"70125292 - 2014 - Movement-based estimation and visualization of space use in 3D for wildlife ecology and conservation","interactions":[],"lastModifiedDate":"2014-09-16T10:40:26","indexId":"70125292","displayToPublicDate":"2014-07-02T10:39:22","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":"Movement-based estimation and visualization of space use in 3D for wildlife ecology and conservation","docAbstract":"Advances in digital biotelemetry technologies are enabling the collection of bigger and more accurate data on the movements of free-ranging wildlife in space and time. Although many biotelemetry devices record 3D location data with <i>x, y</i>, and <i>z</i> coordinates from tracked animals, the third z coordinate is typically not integrated into studies of animal spatial use. Disregarding the vertical component may seriously limit understanding of animal habitat use and niche separation. We present novel movement-based kernel density estimators and computer visualization tools for generating and exploring 3D home ranges based on location data. We use case studies of three wildlife species – giant panda, dugong, and California condor – to demonstrate the ecological insights and conservation management benefits provided by 3D home range estimation and visualization for terrestrial, aquatic, and avian wildlife research.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0101205","usgsCitation":"Tracey, J.A., Sheppard, J., Zhu, J., Wei, F., Swaisgood, R.R., and Fisher, R.N., 2014, Movement-based estimation and visualization of space use in 3D for wildlife ecology and conservation: PLoS ONE, v. 9, no. 7, HTML Document, https://doi.org/10.1371/journal.pone.0101205.","productDescription":"HTML Document","ipdsId":"IP-055995","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0101205","text":"Publisher Index Page"},{"id":293916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293874,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0101205"}],"volume":"9","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-07-02","publicationStatus":"PW","scienceBaseUri":"54195148e4b091c7ffc8e78b","contributors":{"authors":[{"text":"Tracey, Jeff A. 0000-0002-1619-1054 jatracey@usgs.gov","orcid":"https://orcid.org/0000-0002-1619-1054","contributorId":5780,"corporation":false,"usgs":true,"family":"Tracey","given":"Jeff","email":"jatracey@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheppard, James","contributorId":45232,"corporation":false,"usgs":true,"family":"Sheppard","given":"James","affiliations":[],"preferred":false,"id":501156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, Jun","contributorId":73485,"corporation":false,"usgs":true,"family":"Zhu","given":"Jun","email":"","affiliations":[],"preferred":false,"id":501158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wei, Fu-Wen","contributorId":26605,"corporation":false,"usgs":true,"family":"Wei","given":"Fu-Wen","email":"","affiliations":[],"preferred":false,"id":501155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swaisgood, Ronald R.","contributorId":69490,"corporation":false,"usgs":false,"family":"Swaisgood","given":"Ronald","email":"","middleInitial":"R.","affiliations":[{"id":12762,"text":"San Diego Zoo Institure for Conservation Research","active":true,"usgs":false}],"preferred":false,"id":501157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501153,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70121899,"text":"70121899 - 2014 - Methylmercury-induced changes in gene transcription associated with neuroendocrine disruption in largemouth bass (Micropterus salmoides)","interactions":[],"lastModifiedDate":"2018-09-14T15:13:06","indexId":"70121899","displayToPublicDate":"2014-07-01T13:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Methylmercury-induced changes in gene transcription associated with neuroendocrine disruption in largemouth bass (<i>Micropterus salmoides</i>)","title":"Methylmercury-induced changes in gene transcription associated with neuroendocrine disruption in largemouth bass (Micropterus salmoides)","docAbstract":"<p>Methyl-mercury (MeHg) is a potent neuroendocrine disruptor that impairs reproductive processes in fish. The objectives of this study were to (1) characterize transcriptomic changes induced by MeHg exposure in the female largemouth bass (LMB) hypothalamus under controlled laboratory conditions, (2) investigate the health and reproductive impacts of MeHg exposure on male and female largemouth bass (LMB) in the natural environment, and (3) identify MeHg-associated gene expression patterns in whole brain of female LMB from MeHg-contaminated habitats. The laboratory experiment was a single injection of 2.5 μg MeHg/g body weight for 96 h exposure. The field survey compared river systems in Florida, USA with comparably lower concentrations of MeHg (Wekiva, Santa Fe, and St. Johns Rivers) in fish and one river system with LMB that contained elevated concentrations of MeHg (St. Marys River). Microarray analysis was used to quantify transcriptomic responses to MeHg exposure. Although fish at the high-MeHg site did not show overt health or reproductive impairment, there were MeHg-responsive genes and pathways identified in the laboratory study that were also altered in fish from the high-MeHg site relative to fish at the low-MeHg sites. Gene network analysis suggested that MeHg regulated the expression targets of neuropeptide receptor and steroid signaling, as well as structural components of the cell. Disease-associated gene networks related to MeHg exposure, based upon expression data, included cerebellum ataxia, movement disorders, and hypercalcemia. Gene responses in the CNS are consistent with the documented neurotoxicological and neuroendocrine disrupting effects of MeHg in vertebrates.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2014.03.029","usgsCitation":"Richter, C., Martyniuk, C.J., Annis, M., Brumbaugh, W.G., Chasar, L.C., Denslow, N., and Tillitt, D.E., 2014, Methylmercury-induced changes in gene transcription associated with neuroendocrine disruption in largemouth bass (Micropterus salmoides): General and Comparative Endocrinology, v. 203, p. 215-224, https://doi.org/10.1016/j.ygcen.2014.03.029.","productDescription":"10 p.","startPage":"215","endPage":"224","numberOfPages":"10","ipdsId":"IP-052553","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472898,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4145016","text":"External Repository"},{"id":293037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293036,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ygcen.2014.03.029"}],"volume":"203","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53fd9f5fe4b0adaeea6c4e57","chorus":{"doi":"10.1016/j.ygcen.2014.03.029","url":"http://dx.doi.org/10.1016/j.ygcen.2014.03.029","publisher":"Elsevier BV","authors":"Richter Catherine A., Martyniuk Christopher J., Annis Mandy L., Brumbaugh William G., Chasar Lia C., Denslow Nancy D., Tillitt Donald E.","journalName":"General and Comparative Endocrinology","publicationDate":"7/2014"},"contributors":{"authors":[{"text":"Richter, Catherine A.","contributorId":100990,"corporation":false,"usgs":true,"family":"Richter","given":"Catherine A.","affiliations":[],"preferred":false,"id":499302,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martyniuk, Christopher J.","contributorId":9972,"corporation":false,"usgs":true,"family":"Martyniuk","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":499298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Annis, Mandy L.","contributorId":41575,"corporation":false,"usgs":true,"family":"Annis","given":"Mandy L.","affiliations":[],"preferred":false,"id":499299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":499296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chasar, Lia C.","contributorId":91196,"corporation":false,"usgs":true,"family":"Chasar","given":"Lia","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":499301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Denslow, Nancy D.","contributorId":72831,"corporation":false,"usgs":true,"family":"Denslow","given":"Nancy D.","affiliations":[],"preferred":false,"id":499300,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":499297,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70118955,"text":"70118955 - 2014 - Replacement cost valuation of Northern Pintail (<i>Anas acuta</i>) subsistence harvest in Arctic and sub-Arctic North America","interactions":[],"lastModifiedDate":"2017-02-13T15:04:45","indexId":"70118955","displayToPublicDate":"2014-07-01T10:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"Replacement cost valuation of Northern Pintail (<i>Anas acuta</i>) subsistence harvest in Arctic and sub-Arctic North America","docAbstract":"<p>Migratory species provide economically beneficial ecosystem services to people throughout their range, yet often, information is lacking about the magnitude and spatial distribution of these benefits at regional scales. We conducted a case study for Northern Pintails (hereafter pintail) in which we quantified regional and sub-regional economic values of subsistence harvest to indigenous communities in Arctic and sub-Arctic North America. As a first step, we used the replacement cost method to quantify the cost of replacing pintail subsistence harvest with the most similar commercially available protein (chicken). For an estimated annual subsistence harvest of ˜15,000 pintail, our mean estimate of the total replacement cost was ˜$63,000 yr<sup>−1</sup> ($2010 USD), with sub-regional values ranging from \\$263 yr<sup>−1</sup> to \\$21,930 yr<sup>−1</sup>. Our results provide an order-of-magnitude, conservative estimate of one component of the regional ecosystem-service values of pintails, providing perspective on how spatially explicit values can inform migratory species conservation.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Human Dimensions of Wildlife: An International Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2014.917345","usgsCitation":"Goldstein, J.H., Thogmartin, W.E., Bagstad, K.J., Dubovsky, J.A., Mattsson, B., Semmens, D.J., López-Hoffman, L., and Diffendorfer, J., 2014, Replacement cost valuation of Northern Pintail (<i>Anas acuta</i>) subsistence harvest in Arctic and sub-Arctic North America: Human Dimensions of Wildlife: An International Journal, v. 19, no. 4, p. 347-354, https://doi.org/10.1080/10871209.2014.917345.","productDescription":"8 p.","startPage":"347","endPage":"354","numberOfPages":"8","ipdsId":"IP-040665","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":291517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291516,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10871209.2014.917345"}],"otherGeospatial":"North America","volume":"19","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-07-08","publicationStatus":"PW","scienceBaseUri":"53dca9cde4b0761578637782","contributors":{"authors":[{"text":"Goldstein, Joshua H.","contributorId":7208,"corporation":false,"usgs":true,"family":"Goldstein","given":"Joshua","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":497535,"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":497532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":497534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubovsky, James A.","contributorId":100763,"corporation":false,"usgs":true,"family":"Dubovsky","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":497538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mattsson, Brady J.","contributorId":84205,"corporation":false,"usgs":true,"family":"Mattsson","given":"Brady J.","affiliations":[],"preferred":false,"id":497537,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":497531,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"López-Hoffman, Laura","contributorId":77397,"corporation":false,"usgs":true,"family":"López-Hoffman","given":"Laura","affiliations":[],"preferred":false,"id":497536,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":497533,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70118620,"text":"70118620 - 2014 - Experimental design and quality assurance: in situ fluorescence instrumentation","interactions":[],"lastModifiedDate":"2014-10-02T09:54:18","indexId":"70118620","displayToPublicDate":"2014-07-01T09:37:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Experimental design and quality assurance: in situ fluorescence instrumentation","docAbstract":"<p>Both instrument design and capabilities of fluorescence spectroscopy have greatly advanced over the last several decades. Advancements include solid-state excitation sources, integration of fiber optic technology, highly sensitive multichannel detectors, rapid-scan monochromators, sensitive spectral correction techniques, and improve data manipulation software (Christian et al., 1981, Lochmuller and Saavedra, 1986; Cabniss and Shuman, 1987; Lakowicz, 2006; Hudson et al., 2007). The cumulative effect of these improvements have pushed the limits and expanded the application of fluorescence techniques to numerous scientific research fields. One of the more powerful advancements is the ability to obtain in situ fluorescence measurements of natural waters (Moore, 1994).</p>\n<br>\n<p>The development of submersible fluorescence instruments has been made possible by component miniaturization and power reduction including advances in light sources technologies (light-emitting diodes, xenon lamps, ultraviolet [UV] lasers) and the compatible integration of new optical instruments with various sampling platforms (Twardowski et at., 2005 and references therein). The development of robust field sensors skirt the need for cumbersome and or time-consuming filtration techniques, the potential artifacts associated with sample storage, and coarse sampling designs by increasing spatiotemporal resolution (Chen, 1999; Robinson and Glenn, 1999). The ability to obtain rapid, high-quality, highly sensitive measurements over steep gradients has revolutionized investigations of dissolved organic matter (DOM) optical properties, thereby enabling researchers to address novel biogeochemical questions regarding colored or chromophoric DOM (CDOM).</p>\n<br>\n<p>This chapter is dedicated to the origin, design, calibration, and use of in situ field fluorometers. It will serve as a review of considerations to be accounted for during the operation of fluorescence field sensors and call attention to areas of concern when making this type of measurement. Attention is also given to ways in which in-water fluorescence measurements have revolutionized biogeochemical studies of CDOM and how those measurements can be used in conjunction with remotely sense satellite data to understand better the biogeochemistry of DOM in aquatic environments.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Aquatic organic matter fluorescence","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Cambridge University Press","publisherLocation":"New York, NY","isbn":"9780521764612","usgsCitation":"Conmy, R.N., Del Castillo, C.E., Downing, B.D., and Chen, R.F., 2014, Experimental design and quality assurance: in situ fluorescence instrumentation, chap. <i>of</i> Aquatic organic matter fluorescence, p. 190-233.","productDescription":"44 p.","startPage":"190","endPage":"233","numberOfPages":"44","ipdsId":"IP-029501","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":294765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"542e6954e4b092f17df5a837","contributors":{"authors":[{"text":"Conmy, Robyn N.","contributorId":98657,"corporation":false,"usgs":true,"family":"Conmy","given":"Robyn","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":497150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Del Castillo, Carlos E.","contributorId":76238,"corporation":false,"usgs":true,"family":"Del Castillo","given":"Carlos","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":497149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Downing, Bryan D. 0000-0002-2007-5304 bdowning@usgs.gov","orcid":"https://orcid.org/0000-0002-2007-5304","contributorId":1449,"corporation":false,"usgs":true,"family":"Downing","given":"Bryan","email":"bdowning@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Robert F.","contributorId":70707,"corporation":false,"usgs":true,"family":"Chen","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":497148,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171449,"text":"70171449 - 2014 - Avian response to timber harvesting applied experimentally to manage Cerulean Warbler breeding populations","interactions":[],"lastModifiedDate":"2016-05-31T14:06:30","indexId":"70171449","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Avian response to timber harvesting applied experimentally to manage Cerulean Warbler breeding populations","docAbstract":"<p><span>Timber harvesting has been proposed as a management tool to enhance breeding habitat for the Cerulean Warbler (</span><i>Setophaga cerulea</i><span>), a declining Neotropical&ndash;Nearctic migratory songbird that nests in the canopy of mature eastern deciduous forests. To evaluate how this single-species management focus might fit within an ecologically based management approach for multiple forest birds, we performed a manipulative experiment using four treatments (three intensities of timber harvests and an unharvested control) at each of seven study areas within the core Cerulean Warbler breeding range. We collected pre-harvest (one year) and post-harvest (four years) data on the territory density of Cerulean Warblers and six additional focal species, avian community relative abundance, and several key habitat variables. We evaluated the avian and habitat responses across the 3&ndash;32&nbsp;m</span><sup>2</sup><span>&nbsp;ha</span><sup>&minus;1</sup><span>&nbsp;residual basal area (RBA) range of the treatments. Cerulean Warbler territory density peaked with medium RBA (&sim;16&nbsp;m</span><sup>2</sup><span>&nbsp;ha</span><sup>&minus;1</sup><span>). In contrast, territory densities of the other focal species were negatively related to RBA (e.g., Hooded Warbler [</span><i>Setophaga citrina</i><span>]), were positively related to RBA (e.g., Ovenbird [</span><i>Seiurus aurocapilla</i><span>]), or were not sensitive to this measure (Scarlet Tanager [</span><i>Piranga olivacea</i><span>]). Some species (e.g., Hooded Warbler) increased with time post-treatment and were likely tied to a developing understory, whereas declines (e.g., Ovenbird) were immediate. Relative abundance responses of additional species were consistent with the territory density responses of the focal species. Across the RBA gradient, greatest separation in the avian community was between early successional forest species (e.g., Yellow-breasted Chat [</span><i>Icteria virens</i><span>]) and closed-canopy mature forest species (e.g., Ovenbird), with the Cerulean Warbler and other species located intermediate to these two extremes. Overall, our results suggest that harvests within 10&ndash;20&nbsp;m</span><sup>2</sup><span>&nbsp;ha</span><sup>&minus;1</sup><span>&nbsp;RBA yield the largest increases in Cerulean Warblers, benefit additional disturbance-dependent species, and may retain closed-canopy species but at reduced levels. Harvests outside the optimum RBA range for Cerulean Warblers can support bird assemblages specifically associated with early or late (closed-canopy) successional stages.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2013.07.037","usgsCitation":"Sheehan, J., Wood, P.B., Buehler, D.A., Keyser, P.D., Larkin, J.L., Rodewald, A.D., Wigley, T.B., Boves, T.J., George, G.A., Bakermans, M.H., Beachy, T.A., Evans, A., McDermott, M., Newell, F.L., Perkins, K.A., and White, M., 2014, Avian response to timber harvesting applied experimentally to manage Cerulean Warbler breeding populations: Forest Ecology and Management, v. 321, p. 5-18, https://doi.org/10.1016/j.foreco.2013.07.037.","productDescription":"14 p.","startPage":"5","endPage":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044515","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":321934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"321","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574eb5b1e4b0ee97d51a8392","contributors":{"authors":[{"text":"Sheehan, James","contributorId":169745,"corporation":false,"usgs":false,"family":"Sheehan","given":"James","email":"","affiliations":[],"preferred":false,"id":631005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra Bohall pbwood@usgs.gov","contributorId":1791,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"Bohall","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":631001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buehler, David A.","contributorId":169746,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":631006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keyser, Patrick D.","contributorId":146945,"corporation":false,"usgs":false,"family":"Keyser","given":"Patrick","email":"","middleInitial":"D.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":631007,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larkin, Jeffrey L.","contributorId":169747,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false},{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":631008,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rodewald, Amanda D.","contributorId":169748,"corporation":false,"usgs":false,"family":"Rodewald","given":"Amanda","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":631009,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wigley, T. Bently","contributorId":169749,"corporation":false,"usgs":false,"family":"Wigley","given":"T.","email":"","middleInitial":"Bently","affiliations":[],"preferred":false,"id":631010,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boves, Than J.","contributorId":169750,"corporation":false,"usgs":false,"family":"Boves","given":"Than","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":631011,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"George, Gregory A.","contributorId":169751,"corporation":false,"usgs":false,"family":"George","given":"Gregory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":631012,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bakermans, Marja H.","contributorId":169752,"corporation":false,"usgs":false,"family":"Bakermans","given":"Marja","email":"","middleInitial":"H.","affiliations":[{"id":33354,"text":"Worcester Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":631013,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Beachy, Tiffany A.","contributorId":169753,"corporation":false,"usgs":false,"family":"Beachy","given":"Tiffany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":631014,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Evans, Andrea","contributorId":169754,"corporation":false,"usgs":false,"family":"Evans","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":631015,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McDermott, Molly E. 0000-0002-0000-0831","orcid":"https://orcid.org/0000-0002-0000-0831","contributorId":169743,"corporation":false,"usgs":false,"family":"McDermott","given":"Molly E.","affiliations":[],"preferred":false,"id":631016,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Newell, Felicity L.","contributorId":169755,"corporation":false,"usgs":false,"family":"Newell","given":"Felicity","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":631017,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Perkins, Kelly A.","contributorId":169756,"corporation":false,"usgs":false,"family":"Perkins","given":"Kelly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":631018,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"White, Matthew","contributorId":169757,"corporation":false,"usgs":false,"family":"White","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":631019,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70144153,"text":"70144153 - 2014 - Screening native botanicals for bioactivity: an interdisciplinary approach","interactions":[],"lastModifiedDate":"2015-04-30T11:56:36","indexId":"70144153","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3882,"text":"Nutrition","active":true,"publicationSubtype":{"id":10}},"title":"Screening native botanicals for bioactivity: an interdisciplinary approach","docAbstract":"<p>Objective: Plant-based therapies have been used in medicine throughout recorded history. Information about the therapeutic properties of plants often can be found in local cultures as folk medicine is communicated from one generation to the next. The aim of this study was to identify native Louisiana plants from Creole folk medicine as a potential source of therapeutic compounds for the treatment of insulin resistance, type 2 diabetes, and related disorders.</p>\n<p>Methods: We used an interdisciplinary approach combining expertise in disciplines ranging from cultural anthropology and botany to biochemistry and endocrinology to screen native southwest Louisiana plants. Translation of accounts of Creole folk medicine yielded a list of plants with documented use in treating a variety of conditions, including inflammation. These plants were collected, vouchered, and catalogued before extraction of soluble components. Extracts were analyzed for bioactivity in regulating inflammatory responses in macrophages or fatty acid&ndash;induced insulin resistance in C2C12 skeletal muscle cells.</p>\n<p>Results: Several extracts altered gene expression of inflammatory markers in macrophages. Multiplex analysis of kinase activation in insulin-signaling pathways in skeletal muscle also identified a subset of extracts that alter insulin-stimulated protein kinase B phosphorylation in the presence of fatty-acid&ndash;induced insulin resistance.</p>\n<p>Conclusion: An interdisciplinary approach to screening botanical sources of therapeutic agents can be successfully applied to identify native plants used in folk medicine as potential sources of therapeutic agents in treating insulin resistance in skeletal muscle or inflammatory processes associated with obesity-related insulin resistance.</p>","language":"English","publisher":"Elsevier Science Inc.","publisherLocation":"New York, NY","doi":"10.1016/j.nut.2014.02.028","usgsCitation":"Boudreau, A., Cheng, D.M., Ruiz, C., Ribnicky, D., Allain, L.K., Brassieur, C.R., Turnipseed, D.P., Cefalu, W.T., and Floyd, Z.E., 2014, Screening native botanicals for bioactivity: an interdisciplinary approach: Nutrition, v. 30, no. 7-8, p. S11-S16, https://doi.org/10.1016/j.nut.2014.02.028.","productDescription":"6 p.","startPage":"S11","endPage":"S16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057702","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":472913,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.nut.2014.02.028","text":"External Repository"},{"id":299989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","volume":"30","issue":"7-8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55435234e4b0a658d79414b2","contributors":{"authors":[{"text":"Boudreau, Anik","contributorId":139903,"corporation":false,"usgs":false,"family":"Boudreau","given":"Anik","email":"","affiliations":[{"id":13309,"text":"Pennington Biomedical Research Center, Baton Rouge , LA","active":true,"usgs":false}],"preferred":false,"id":543405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cheng, Diana M.","contributorId":139904,"corporation":false,"usgs":false,"family":"Cheng","given":"Diana","email":"","middleInitial":"M.","affiliations":[{"id":13310,"text":"Rutgers, The State University of New Jersey","active":true,"usgs":false}],"preferred":false,"id":544147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruiz, Carmen","contributorId":139905,"corporation":false,"usgs":false,"family":"Ruiz","given":"Carmen","email":"","affiliations":[{"id":13309,"text":"Pennington Biomedical Research Center, Baton Rouge , LA","active":true,"usgs":false}],"preferred":false,"id":543407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ribnicky, David","contributorId":139906,"corporation":false,"usgs":false,"family":"Ribnicky","given":"David","email":"","affiliations":[{"id":13310,"text":"Rutgers, The State University of New Jersey","active":true,"usgs":false}],"preferred":false,"id":543408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allain, Larry K. 0000-0002-7717-9761 allainl@usgs.gov","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":2414,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","email":"allainl@usgs.gov","middleInitial":"K.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":543403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brassieur, C. Ray","contributorId":139907,"corporation":false,"usgs":false,"family":"Brassieur","given":"C.","email":"","middleInitial":"Ray","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":543409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turnipseed, D. Phil 0000-0002-9737-3203 pturnip@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-3203","contributorId":298,"corporation":false,"usgs":true,"family":"Turnipseed","given":"D.","email":"pturnip@usgs.gov","middleInitial":"Phil","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":543404,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cefalu, William T.","contributorId":139908,"corporation":false,"usgs":false,"family":"Cefalu","given":"William","email":"","middleInitial":"T.","affiliations":[{"id":13309,"text":"Pennington Biomedical Research Center, Baton Rouge , LA","active":true,"usgs":false}],"preferred":false,"id":543410,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Floyd, Z. Elizabeth","contributorId":139909,"corporation":false,"usgs":false,"family":"Floyd","given":"Z.","email":"","middleInitial":"Elizabeth","affiliations":[{"id":13309,"text":"Pennington Biomedical Research Center, Baton Rouge , LA","active":true,"usgs":false}],"preferred":false,"id":543411,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70140712,"text":"70140712 - 2014 - Comparative responses to endocrine disrupting compounds in early life stages of Atlantic salmon, <i>Salmo salar</i>","interactions":[],"lastModifiedDate":"2015-02-10T13:07:27","indexId":"70140712","displayToPublicDate":"2014-07-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Comparative responses to endocrine disrupting compounds in early life stages of Atlantic salmon, <i>Salmo salar</i>","docAbstract":"<p>Atlantic salmon (Salmo salar) are endangered anadromous fish that may be exposed to feminizing endocrine disrupting compounds (EDCs) during early development, potentially altering physiological capacities, survival and fitness. To assess differential life stage sensitivity to common EDCs, we carried out short-term (four day) exposures using three doses each of 17&alpha;-ethinylestradiol (EE2), 17&beta;-estradiol (E2), and nonylphenol (NP) on four early life stages; embryos, yolk-sac larvae, feeding fry and one year old smolts. Differential response was compared using vitellogenin (Vtg, a precursor egg protein) gene transcription. Smolts were also examined for impacts on plasma Vtg, cortisol, thyroid hormones (T4/T3) and hepatosomatic index (HSI). Compound-related mortality was not observed in any life stage, but Vtg mRNA was elevated in a dose-dependent manner in yolk-sac larvae, fry and smolts but not in embyos. The estrogens EE2 and E2 were consistently stronger inducers of Vtg than NP. Embryos responded significantly to the highest concentration of EE2 only, while older life stages responded to the highest doses of all three compounds, as well as intermediate doses of EE2 and E2. Maximal transcription was greater for fry among the three earliest life stages, suggesting fry may be the most responsive life stage in early development. Smolt plasma Vtg was also significantly increased, and this response was observed at lower doses of each compound than was detected by gene transcription suggesting this is a more sensitive indicator at this life stage. HSI was increased at the highest doses of EE2 and E2 and plasma T3 decreased at the highest dose of EE2. Our results indicate that all life stages after hatching are potentially sensitive to endocrine disruption by estrogenic compounds and that physiological responses were altered over a short window of exposure, indicating the potential for these compounds to impact fish in the wild.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2014.03.015","usgsCitation":"Duffy, T.A., Iwanowicz, L., and McCormick, S., 2014, Comparative responses to endocrine disrupting compounds in early life stages of Atlantic salmon, <i>Salmo salar</i>: Aquatic Toxicology, v. 152, p. 1-10, https://doi.org/10.1016/j.aquatox.2014.03.015.","productDescription":"10","startPage":"1","endPage":"10","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054887","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":297898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"152","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b62e4b08de9379b335c","contributors":{"authors":[{"text":"Duffy, Tara A.","contributorId":139213,"corporation":false,"usgs":false,"family":"Duffy","given":"Tara","email":"","middleInitial":"A.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":540367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. liwanowicz@usgs.gov","contributorId":386,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":540368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139201,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen D.","email":"smccormick@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":540366,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70095530,"text":"ofr20141045 - 2014 - Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018)","interactions":[],"lastModifiedDate":"2019-03-05T08:58:37","indexId":"ofr20141045","displayToPublicDate":"2014-06-30T11:45:00","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":"2014-1045","title":"Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018)","docAbstract":"<p>As part of the U.S. Geological Survey’s (USGS) multi-hazards project in the Long Valley Caldera-Mono Lake area, the California Geological Survey (CGS) developed several earthquake scenarios and evaluated potential seismic hazards, including ground shaking, surface fault rupture, liquefaction, and landslide hazards associated with these earthquake scenarios. The results of these analyses can be useful in estimating the extent of potential damage and economic losses because of potential earthquakes and also for preparing emergency response plans.</p><p>The Long Valley Caldera-Mono Lake area has numerous active faults. Five of these faults or fault zones are considered capable of producing magnitude ≥6.7 earthquakes according to the Uniform California Earthquake Rupture Forecast, Version 2 (UCERF 2) developed by the 2007 Working Group on California Earthquake Probabilities (WGCEP) and the USGS National Seismic Hazard Mapping Program. These five faults are the Fish Slough, Hartley Springs, Hilton Creek, Mono Lake, and Round Valley Faults. CGS developed earthquake scenarios for these five faults in the study area and for the White Mountains Fault Zone to the east of the study area.</p><p>In this report, an earthquake scenario is intended to depict the potential consequences of significant earthquakes. A scenario earthquake is not necessarily the largest or most damaging earthquake possible on a recognized fault. Rather it is both large enough and likely enough that emergency planners should consider it in regional emergency response plans. In particular, the ground motion predicted for a given scenario earthquake does not represent a full probabilistic hazard assessment, and thus it does not provide the basis for hazard zoning and earthquake-resistant building design.</p><p>Earthquake scenarios presented here are based on fault geometry and activity data developed by the WGCEP, and are consistent with the 2008 Update of the United States National Seismic Hazard Maps (NSHM). Alternatives to the NSHM scenario were developed for the Hilton Creek and Hartley Springs Faults to account for different opinions in how far these two faults extend into Long Valley Caldera. For each scenario, ground motions were calculated using the current standard practice: the deterministic seismic hazard analysis program developed by Art Frankel of USGS and three Next Generation Ground Motion Attenuation (NGA) models. Ground motion calculations incorporated the potential amplification of seismic shaking by near-surface soils defined by a map of the average shear wave velocity in the uppermost 30 m (<i>V<sub>S30</sub></i>) developed by CGS.</p><p>In addition to ground shaking and shaking-related ground failure such as liquefaction and earthquake induced landslides, earthquakes cause surface rupture displacement, which can lead to severe damage of buildings and lifelines. For each earthquake scenario, potential surface fault displacements are estimated using deterministic and probabilistic approaches. Liquefaction occurs when saturated sediments lose their strength because of ground shaking. Zones of potential liquefaction are mapped by incorporating areas where loose sandy sediments, shallow groundwater, and strong earthquake shaking coincide in the earthquake scenario. The process for defining zones of potential landslide and rockfall incorporates rock strength, surface slope, and existing landslides, with ground motions caused by the scenario earthquake.</p><p>Each scenario is illustrated with maps of seismic shaking potential and fault displacement, liquefaction, and landslide potential. Seismic shaking is depicted by the distribution of shaking intensity, peak ground acceleration, and 1.0-second spectral acceleration. One-second spectral acceleration correlates well with structural damage to surface facilities. Acceleration greater than 0.2 g is often associated with strong ground shaking and may cause moderate to heavy damage. The extent of strong shaking is influenced by subsurface fault dip and near surface materials. Strong shaking is more widespread in the hanging wall regions of a normal fault. Larger ground motions also occur where young alluvial sediments amplify the shaking. Both of these effects can lead to strong shaking that extends farther from the fault on the valley side than on the hill side.</p><p>The effect of fault rupture displacements may be localized along the surface trace of the mapped earthquake fault if fault geometry is simple and the fault traces are accurately located. However, surface displacement hazards can spread over a few hundred meters to a few kilometers if the earthquake fault has numerous splays or branches, such as the Hilton Creek Fault. Faulting displacements are estimated to be about 1 meter along normal faults in the study area and close to 2 meters along the White Mountains Fault Zone.</p><p>All scenarios show the possibility of widespread ground failure. Liquefaction damage would likely occur in the areas of higher ground shaking near the faults where there are sandy/silty sediments and the depth to groundwater is 6.1 meters (20 feet) or less. Generally, this means damage is most common near lakes and streams in the areas of strongest shaking. Landslide potential exists throughout the study region. All steep slopes (&gt;30 degrees) present a potential hazard at any level of shaking. Lesser slopes may have landslides within the areas of the higher ground shaking. The landslide hazard zones also are likely sources for snow avalanches during winter months and for large boulders that can be shaken loose and roll hundreds of feet down hill, which happened during the 1980 Mammoth Lakes earthquakes.</p><p>Whereas methodologies used in estimating ground shaking, liquefaction, and landslides are well developed and have been applied in published hazard maps; methodologies used in estimating surface fault displacement are still being developed. Therefore, this report provides a more in-depth and detailed discussion of methodologies used for deterministic and probabilistic fault displacement hazard analyses for this project.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141045","collaboration":"California Geological Survey Special Report 233","usgsCitation":"Chen, R., Branum, D.M., Wills, C.J., and Hill, D.P., 2018, Scenario earthquake hazards for the Long Valley Caldera-Mono Lake area, east-central California (ver. 2.0, January 2018): U.S. Geological Survey Open-File Report 2014–1045, and California Geological Survey Special Report 233, 84 p., https://doi.org/10.3133/ofr20141045.","productDescription":"viii, 84 p.","numberOfPages":"96","onlineOnly":"Y","ipdsId":"IP-036752","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":289212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141045.jpg"},{"id":350484,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2014/1045/pdf/ofr20141045_versionhist.txt","text":"Version History","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2014-1045"},{"id":289207,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1045/","text":"Index Page"},{"id":289211,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1045/pdf/ofr20141045_v2.0.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2014-1045"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera;Mono Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.5,37.15 ], [ -119.5,38.2 ], [ -117.5,38.2 ], [ -117.5,37.15 ], [ -119.5,37.15 ] ] ] } } ] }","edition":"Version 1.0: Originally posted June 2014; Version 2.0: January 2018","contact":"<p><a href=\"http://earthquake.usgs.gov/\" data-mce-href=\"http://earthquake.usgs.gov/\">Earthquake Science Center</a><br>U.S. Geological Survey<br>345 Middlefield Road, MS 977<br>Menlo Park, CA 94025<br></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2014-06-30","revisedDate":"2018-01-19","noUsgsAuthors":false,"publicationDate":"2014-06-30","publicationStatus":"PW","scienceBaseUri":"53b278d1e4b07b8813a5545b","contributors":{"authors":[{"text":"Chen, Rui","contributorId":78250,"corporation":false,"usgs":true,"family":"Chen","given":"Rui","affiliations":[],"preferred":false,"id":491266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Branum, David M.","contributorId":70692,"corporation":false,"usgs":true,"family":"Branum","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wills, Chris J.","contributorId":97576,"corporation":false,"usgs":true,"family":"Wills","given":"Chris","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":491267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, David P. hill@usgs.gov","contributorId":2600,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"hill@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":491264,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70120200,"text":"70120200 - 2014 - Air-sea interactions during strong winter extratropical storms","interactions":[],"lastModifiedDate":"2014-08-13T08:48:30","indexId":"70120200","displayToPublicDate":"2014-06-30T08:45:29","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":"Air-sea interactions during strong winter extratropical storms","docAbstract":"A high-resolution, regional coupled atmosphere–ocean model is used to investigate strong air–sea interactions during a rapidly developing extratropical cyclone (ETC) off the east coast of the USA. In this two-way coupled system, surface momentum and heat fluxes derived from the Weather Research and Forecasting model and sea surface temperature (SST) from the Regional Ocean Modeling System are exchanged via the Model Coupling Toolkit. Comparisons are made between the modeled and observed wind velocity, sea level pressure, 10 m air temperature, and sea surface temperature time series, as well as a comparison between the model and one glider transect. Vertical profiles of modeled air temperature and winds in the marine atmospheric boundary layer and temperature variations in the upper ocean during a 3-day storm period are examined at various cross-shelf transects along the eastern seaboard. It is found that the air–sea interactions near the Gulf Stream are important for generating and sustaining the ETC. In particular, locally enhanced winds over a warm sea (relative to the land temperature) induce large surface heat fluxes which cool the upper ocean by up to 2 °C, mainly during the cold air outbreak period after the storm passage. Detailed heat budget analyses show the ocean-to-atmosphere heat flux dominates the upper ocean heat content variations. Results clearly show that dynamic air–sea interactions affecting momentum and buoyancy flux exchanges in ETCs need to be resolved accurately in a coupled atmosphere–ocean modeling framework.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ocean Dynamics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Berlin","doi":"10.1007/s10236-014-0745-2","usgsCitation":"Nelson, J., He, R., Warner, J., and Bane, J., 2014, Air-sea interactions during strong winter extratropical storms: Ocean Dynamics, https://doi.org/10.1007/s10236-014-0745-2.","ipdsId":"IP-053311","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":292051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292049,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10236-014-0745-2"}],"noUsgsAuthors":false,"publicationDate":"2014-07-30","publicationStatus":"PW","scienceBaseUri":"53ec7bc3e4b02bf5a7673fe1","contributors":{"authors":[{"text":"Nelson, Jill","contributorId":24288,"corporation":false,"usgs":true,"family":"Nelson","given":"Jill","email":"","affiliations":[],"preferred":false,"id":497967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"He, Ruoying","contributorId":68029,"corporation":false,"usgs":true,"family":"He","given":"Ruoying","affiliations":[],"preferred":false,"id":497968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":497966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bane, John","contributorId":80590,"corporation":false,"usgs":true,"family":"Bane","given":"John","email":"","affiliations":[],"preferred":false,"id":497969,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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