{"pageNumber":"620","pageRowStart":"15475","pageSize":"25","recordCount":68919,"records":[{"id":70189221,"text":"70189221 - 2013 - Community-based water-quality monitoring in the Yukon River Basin and the Kuskokwim Watershed","interactions":[],"lastModifiedDate":"2017-07-07T09:44:47","indexId":"70189221","displayToPublicDate":"2013-04-30T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5452,"text":"Witness the Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Community-based water-quality monitoring in the Yukon River Basin and the Kuskokwim Watershed","docAbstract":"The unique partnership between the USGS and the YRITWC provides mutual benefits by fostering outreach efforts that have been essential for community empowerment and by generating scientific data for prohibitively large and remote regions that would be challenging for USGS scientists to sample as robustly alone. The addition of a new partnership with the KRWC to create a community-based monitoring program will only increase these benefits by growing the spatial extent of data collection and empowering more people to take charge of important science in their own backyard.","language":"English","publisher":"ARCUS","usgsCitation":"Herman-Mercer, N.M., 2013, Community-based water-quality monitoring in the Yukon River Basin and the Kuskokwim Watershed: Witness the Arctic, v. 2, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-045234","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343382,"type":{"id":15,"text":"Index Page"},"url":"https://www.arcus.org/witness-the-arctic/2013/2/article/19953"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Kuskokwim River Basin. 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,{"id":70045674,"text":"sir20125290 - 2013 - Estimates of future inundation of salt marshes in response to sea-level rise in and around Acadia National Park, Maine","interactions":[],"lastModifiedDate":"2013-04-29T13:35:29","indexId":"sir20125290","displayToPublicDate":"2013-04-29T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5290","title":"Estimates of future inundation of salt marshes in response to sea-level rise in and around Acadia National Park, Maine","docAbstract":"Salt marshes are ecosystems that provide many important ecological functions in the Gulf of Maine. The U.S. Geological Survey investigated salt marshes in and around Acadia National Park from Penobscot Bay to the Schoodic Peninsula to map the potential for landward migration of marshes using a static inundation model of a sea-level rise scenario of 60 centimeters (cm; 2 feet). The resulting inundation contours can be used by resource managers to proactively adapt to sea-level rise by identifying and targeting low-lying coastal areas adjacent to salt marshes for conservation or further investigation, and to identify risks to infrastructure in the coastal zone. For this study, the mapping of static inundation was based on digital elevation models derived from light detection and ranging (LiDAR) topographic data collected in October 2010. Land-surveyed control points were used to evaluate the accuracy of the LiDAR data in the study area, yielding a root mean square error of 11.3 cm. An independent accuracy assessment of the LiDAR data specific to salt-marsh land surfaces indicated a root mean square error of 13.3 cm and 95-percent confidence interval of  ± 26.0 cm. LiDAR-derived digital elevation models and digital color aerial photography, taken during low tide conditions in 2008, with a pixel resolution of 0.5 meters, were used to identify the highest elevation of the land surface at each salt marsh in the study area. Inundation contours for 60-cm of sea-level rise were delineated above the highest marsh elevation for each marsh. Confidence interval contours (95-percent,±  26.0 cm) were delineated above and below the 60-cm inundation contours, and artificial structures, such as roads and bridges, that may present barriers to salt-marsh migration were mapped. This study delineated 114 salt marshes totaling 340 hectares (ha), ranging in size from 0.11 ha (marshes less than 0.2 ha were mapped only if they were on Acadia National Park property) to 52 ha, with a median size of 1.0 ha. Inundation contours were mapped at 110 salt marshes. Approximately 350 ha of low-lying upland areas adjacent to these marshes will be inundated with 60 cm of sea-level rise. Many of these areas are currently freshwater wetlands. There are potential barriers to marsh migration at 27 of the 114 marshes. Although only 23 percent of the salt marshes in the study are on ANP property, about half of the upland areas that will be inundated are within ANP; most of the predicted inundated uplands (approximately 170 ha) include freshwater wetlands in the Northeast Creek and Bass Harbor Marsh areas. Most of the salt marshes analyzed do not have a significant amount of upland area available for migration. Seventy-five percent of the salt marshes have 20 meters or less of adjacent upland that would be inundated along most of their edges. All inundation contours, salt marsh locations, potential barriers, and survey data are stored in geospatial files for use in a geographic information system and are a part of this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125290","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Nielsen, M.G., and Dudley, R.W., 2013, Estimates of future inundation of salt marshes in response to sea-level rise in and around Acadia National Park, Maine: U.S. Geological Survey Scientific Investigations Report 2012-5290, Report: viii, 20 p.; Appendix 1: Geospatial Data, https://doi.org/10.3133/sir20125290.","productDescription":"Report: viii, 20 p.; Appendix 1: Geospatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":271615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125290.gif"},{"id":271612,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5290/"},{"id":271613,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5290/pdf/sir2012-5290_nielsen_508.pdf"},{"id":271614,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2012/5290/appendix.html"}],"scale":"24000","projection":"Universe Transverse Mercator, zone 19N","datum":"North American Datum of 1983","country":"United States","state":"Maine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.6598,44.0059 ], [ -68.6598,44.4314 ], [ -68.0373,44.4314 ], [ -68.0373,44.0059 ], [ -68.6598,44.0059 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f884fe4b0e41721f7a320","contributors":{"authors":[{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":478023,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045617,"text":"ofr20131066 - 2013 - Water temperatures in select nearshore environments of the Colorado River in Grand Canyon, Arizona, during the Low Steady Summer Flow experiment of 2000","interactions":[],"lastModifiedDate":"2013-04-26T12:19:33","indexId":"ofr20131066","displayToPublicDate":"2013-04-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1066","title":"Water temperatures in select nearshore environments of the Colorado River in Grand Canyon, Arizona, during the Low Steady Summer Flow experiment of 2000","docAbstract":"Water releases from Glen Canyon Dam, Arizona, are the primary determinant of streamflow, sediment transport, water quality, and aquatic and riparian habitat availability in the Colorado River downstream of the dam in Grand Canyon. The presence and operation of the dam have transformed the seasonally warm Colorado River into a consistently cold river because of hypolimnetic, or deep-water, releases from the penstock withdrawal structures on the dam. These releases have substantially altered the thermal regime of the downstream riverine environment. This, in turn, has affected the biota of the river corridor, particularly native and nonnative fish communities and the aquatic food web.  In the spring and summer of 2000, a Low Steady Summer Flow experiment was conducted by the U.S. Geological Survey and the Bureau of Reclamation to evaluate the effects of the experimental flow on physical and biological resources of the Colorado River ecosystem downstream from Glen Canyon Dam to Lake Mead on the Arizona-Nevada border. This report describes the water temperatures collected during the experimental flow from 14 nearshore sites in the river corridor in Grand Canyon to assess the effects of steady releases on the thermal dynamics of nearshore environments. These nearshore areas are characterized by low-velocity flows with some degree of isolation from the higher velocity flows in the main channel and are hypothesized to be important rearing environments for young native fish.  Water-temperature measurements were made at 14 sites, ranging from backwater to open-channel environments. Warming during daylight hours, relative to main-channel temperatures, was measured at all sites in relation to the amount of isolation from the main-channel current. Boat traffic, amount of direct solar radiation, and degree of isolation from the main-channel current appear to be the primary factors affecting the differential warming of the nearshore environment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131066","usgsCitation":"Vernieu, W., and Anderson, C.R., 2013, Water temperatures in select nearshore environments of the Colorado River in Grand Canyon, Arizona, during the Low Steady Summer Flow experiment of 2000: U.S. Geological Survey Open-File Report 2013-1066, Report: vi, 44 p.; Data folder, https://doi.org/10.3133/ofr20131066.","productDescription":"Report: vi, 44 p.; Data folder","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":271510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131066.gif"},{"id":271509,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2013/1066/csv"},{"id":271507,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1066/"},{"id":271508,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1066/of2013-1066_text.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114,35 ], [ -114,37.25 ], [ -111,37.25 ], [ -111,35 ], [ -114,35 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517b93d8e4b09d6a5f9a2eaa","contributors":{"authors":[{"text":"Vernieu, William S.","contributorId":49068,"corporation":false,"usgs":true,"family":"Vernieu","given":"William S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":477963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Craig R.","contributorId":42857,"corporation":false,"usgs":true,"family":"Anderson","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":477962,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045614,"text":"sir20135022 - 2013 - Salmonids, stream temperatures, and solar loading--modeling the shade provided to the Klamath River by vegetation and geomorphology","interactions":[],"lastModifiedDate":"2013-04-26T09:14:32","indexId":"sir20135022","displayToPublicDate":"2013-04-26T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5022","title":"Salmonids, stream temperatures, and solar loading--modeling the shade provided to the Klamath River by vegetation and geomorphology","docAbstract":"The U.S. Geological Survey is studying approaches to characterize the thermal regulation of water and the dynamics of cold water refugia. High temperatures have physiological impacts on anadromous fish species. Factors affecting the presence, variability, and quality of thermal refugia are known, such as riverine and watershed processes, hyporheic flows, deep pools and bathymetric factors, thermal stratification of reservoirs, and other broader climatic considerations. This research develops a conceptual model and methodological techniques to quantify the change in solar insolation load to the Klamath River caused by riparian and floodplain vegetation, the morphology of the river, and the orientation and topographic characteristics of its watersheds. Using multiple scales of input data from digital elevation models and airborne light detection and ranging (LiDAR) derivatives, different analysis methods yielded three different model results. These models are correlated with thermal infrared imagery for ground-truth information at the focal confluence with the Scott River. Results from nonparametric correlation tests, geostatistical cross-covariograms, and cross-correlograms indicate that statistical relationships between the insolation models and the thermal infrared imagery exist and are significant. Furthermore, the use of geostatistics provides insights to the spatial structure of the relationships that would not be apparent otherwise. To incorporate a more complete representation of the temperature dynamics in the river system, other variables including the factors mentioned above, and their influence on solar loading, are discussed. With similar datasets, these methods could be applied to any river in the United States—especially those listed as temperature impaired under Section 303(d) of the Clean Water Act—or international riverine systems. Considering the importance of thermal refugia for aquatic species, these methods can help investigate opportunities for riparian restoration, identify problematic reaches unlikely to provide good habitat, and simulate changes to solar loading estimates from alternative landscape configurations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135022","usgsCitation":"Forney, W.M., Soulard, C.E., and Chickadel, C.C., 2013, Salmonids, stream temperatures, and solar loading--modeling the shade provided to the Klamath River by vegetation and geomorphology: U.S. Geological Survey Scientific Investigations Report 2013-5022, iv, 26 p., https://doi.org/10.3133/sir20135022.","productDescription":"iv, 26 p.","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":271506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135022.gif"},{"id":271504,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5022/"},{"id":271505,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5022/sir2013-5022.pdf"}],"country":"United States","state":"California","otherGeospatial":"Klamath River;Scott River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.85,41.36 ], [ -122.85,41.37 ], [ -122.82,41.37 ], [ -122.82,41.36 ], [ -122.85,41.36 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517b93d7e4b09d6a5f9a2ea6","contributors":{"authors":[{"text":"Forney, William M.","contributorId":43490,"corporation":false,"usgs":true,"family":"Forney","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chickadel, C. Christopher","contributorId":106337,"corporation":false,"usgs":true,"family":"Chickadel","given":"C.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":477958,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045601,"text":"70045601 - 2013 - Influence of temperature on viral hemorrhagic septicemia (Genogroup IVa) in Pacific herring, <i>Clupea pallasii</i> Valenciennes","interactions":[],"lastModifiedDate":"2016-05-04T15:40:21","indexId":"70045601","displayToPublicDate":"2013-04-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of temperature on viral hemorrhagic septicemia (Genogroup IVa) in Pacific herring, <i>Clupea pallasii</i> Valenciennes","docAbstract":"<p>An inverse relationship between water temperature and susceptibility of Pacific herring (<i>Clupea pallasii</i>) to viral hemorrhagic septicemia, genogroup IVa (VHS) was indicated by controlled exposure studies where cumulative mortalities, viral shedding rates, and viral persistence in survivors were greatest at the coolest exposure temperatures. Among groups of specific pathogen-free (SPF) Pacific herring maintained at 8, 11, and 15&nbsp;&deg;C, cumulative mortalities after waterborne exposure to viral hemorrhagic septicemia virus (VHSV) were 78%, 40%, and 13%, respectively. The prevalence of survivors with VHSV-positive tissues 25&nbsp;d post-exposure was 64%, 16%, and 0% (at 8, 11 and 15&nbsp;&deg;C, respectively) with viral prevalence typically higher in brain tissues than in kidney/spleen tissue pools at each temperature. Similarly, geometric mean viral titers in brain tissues and kidney/spleen tissue pools decreased at higher temperatures, and kidney/spleen titers were generally 10-fold lower than those in brain tissues at each temperature. This inverse relationship between temperature and VHS severity was likely mediated by an enhanced immune response at the warmer temperatures, where a robust type I interferon response was indicated by rapid and significant upregulation of the herring Mx gene. The effect of relatively small temperature differences on the susceptibility of a natural host to VHS provides insights into conditions that preface periodic VHSV epizootics in wild populations throughout the NE Pacific.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2013.03.006","usgsCitation":"Hershberger, P., Purcell, M.K., Hart, L., Gregg, J., Thompson, R., Garver, K., and Winton, J., 2013, Influence of temperature on viral hemorrhagic septicemia (Genogroup IVa) in Pacific herring, <i>Clupea pallasii</i> Valenciennes: Journal of Experimental Marine Biology and Ecology, v. 444, p. 81-86, https://doi.org/10.1016/j.jembe.2013.03.006.","productDescription":"6 p.","startPage":"81","endPage":"86","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042244","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":271488,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"444","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a425ce4b072c16ef14ae3","contributors":{"authors":[{"text":"Hershberger, P.K. 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":58818,"corporation":false,"usgs":true,"family":"Hershberger","given":"P.K.","affiliations":[],"preferred":false,"id":477937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Purcell, M. K.","contributorId":78464,"corporation":false,"usgs":true,"family":"Purcell","given":"M.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":477939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, L.M.","contributorId":44008,"corporation":false,"usgs":true,"family":"Hart","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":477936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregg, J.L.","contributorId":78521,"corporation":false,"usgs":true,"family":"Gregg","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":477940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, R.L.","contributorId":77445,"corporation":false,"usgs":true,"family":"Thompson","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":477938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garver, K.A.","contributorId":42766,"corporation":false,"usgs":true,"family":"Garver","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":477935,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winton, J. R. 0000-0002-3505-5509","orcid":"https://orcid.org/0000-0002-3505-5509","contributorId":82441,"corporation":false,"usgs":true,"family":"Winton","given":"J. R.","affiliations":[],"preferred":false,"id":477941,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70118247,"text":"70118247 - 2013 - Simulating boreal forest carbon dynamics after stand-replacing fire disturbance: insights from a global process-based vegetation model","interactions":[],"lastModifiedDate":"2014-07-28T09:29:07","indexId":"70118247","displayToPublicDate":"2013-04-24T09:24:36","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Simulating boreal forest carbon dynamics after stand-replacing fire disturbance: insights from a global process-based vegetation model","docAbstract":"Stand-replacing fires are the dominant fire type in North American boreal forests. They leave a historical legacy of a mosaic landscape of different aged forest cohorts. This forest age dynamics must be included in vegetation models to accurately quantify the role of fire in the historical and current regional forest carbon balance. The present study adapted the global process-based vegetation model ORCHIDEE to simulate the CO<sub>2</sub> emissions from boreal forest fire and the subsequent recovery after a stand-replacing fire; the model represents postfire new cohort establishment, forest stand structure and the self-thinning process. Simulation results are evaluated against observations of three clusters of postfire forest chronosequences in Canada and Alaska. The variables evaluated include: fire carbon emissions, CO<sub>2</sub> fluxes (gross primary production, total ecosystem respiration and net ecosystem exchange), leaf area index, and biometric measurements (aboveground biomass carbon, forest floor carbon, woody debris carbon, stand individual density, stand basal area, and mean diameter at breast height). When forced by local climate and the atmospheric CO<sub>2</sub> history at each chronosequence site, the model simulations generally match the observed CO<sub>2</sub> fluxes and carbon stock data well, with model-measurement mean square root of deviation comparable with the measurement accuracy (for CO<sub>2</sub> flux ~100 g C m<sup>−2</sup> yr<sup>−1</sup>, for biomass carbon ~1000 g C m<sup>−2</sup> and for soil carbon ~2000 g C m<sup>−2</sup>). We find that the current postfire forest carbon sink at the evaluation sites, as observed by chronosequence methods, is mainly due to a combination of historical CO<sub>2</sub> increase and forest succession. Climate change and variability during this period offsets some of these expected carbon gains. The negative impacts of climate were a likely consequence of increasing water stress caused by significant temperature increases that were not matched by concurrent increases in precipitation. Our simulation results demonstrate that a global vegetation model such as ORCHIDEE is able to capture the essential ecosystem processes in fire-disturbed boreal forests and produces satisfactory results in terms of both carbon fluxes and carbon-stock evolution after fire. This makes the model suitable for regional simulations in boreal regions where fire regimes play a key role in the ecosystem carbon balance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","publisherLocation":"Göttingen, Germany","doi":"10.5194/bg-10-8233-2013","usgsCitation":"Yue, C., Ciais, P., Luyssaert, S., Cadule, P., Harden, J., Randerson, J., Bellassen, V., Wang, T., Piao, S., Poulter, B., and Viovy, N., 2013, Simulating boreal forest carbon dynamics after stand-replacing fire disturbance: insights from a global process-based vegetation model: Biogeosciences, v. 10, no. 12, p. 8233-8252, https://doi.org/10.5194/bg-10-8233-2013.","productDescription":"20 p.","startPage":"8233","endPage":"8252","numberOfPages":"20","costCenters":[],"links":[{"id":473862,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-10-8233-2013","text":"Publisher Index Page"},{"id":291091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291090,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bg-10-8233-2013"}],"volume":"10","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-12-13","publicationStatus":"PW","scienceBaseUri":"57f7f301e4b0bc0bec0a0710","contributors":{"authors":[{"text":"Yue, C.","contributorId":49283,"corporation":false,"usgs":true,"family":"Yue","given":"C.","email":"","affiliations":[],"preferred":false,"id":496561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ciais, P.","contributorId":39604,"corporation":false,"usgs":true,"family":"Ciais","given":"P.","affiliations":[],"preferred":false,"id":496559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luyssaert, S.","contributorId":94230,"corporation":false,"usgs":true,"family":"Luyssaert","given":"S.","email":"","affiliations":[],"preferred":false,"id":496567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cadule, P.","contributorId":85521,"corporation":false,"usgs":true,"family":"Cadule","given":"P.","email":"","affiliations":[],"preferred":false,"id":496566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harden, J.","contributorId":43918,"corporation":false,"usgs":true,"family":"Harden","given":"J.","email":"","affiliations":[],"preferred":false,"id":496560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Randerson, J.","contributorId":94458,"corporation":false,"usgs":true,"family":"Randerson","given":"J.","affiliations":[],"preferred":false,"id":496568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bellassen, V.","contributorId":72721,"corporation":false,"usgs":true,"family":"Bellassen","given":"V.","email":"","affiliations":[],"preferred":false,"id":496564,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, T.","contributorId":53707,"corporation":false,"usgs":true,"family":"Wang","given":"T.","affiliations":[],"preferred":false,"id":496563,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Piao, S.L.","contributorId":28911,"corporation":false,"usgs":true,"family":"Piao","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":496558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Poulter, B.","contributorId":49718,"corporation":false,"usgs":true,"family":"Poulter","given":"B.","email":"","affiliations":[],"preferred":false,"id":496562,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Viovy, N.","contributorId":81421,"corporation":false,"usgs":true,"family":"Viovy","given":"N.","email":"","affiliations":[],"preferred":false,"id":496565,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70045575,"text":"ofr20131077 - 2013 - Tidal flow dynamics and background fluorescence of the Atlantic Intracoastal Waterway in the vicinity of Sullivan’s Island and the Isle of Palms, South Carolina, 2011-12","interactions":[],"lastModifiedDate":"2017-01-31T08:26:02","indexId":"ofr20131077","displayToPublicDate":"2013-04-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1077","title":"Tidal flow dynamics and background fluorescence of the Atlantic Intracoastal Waterway in the vicinity of Sullivan’s Island and the Isle of Palms, South Carolina, 2011-12","docAbstract":"To effectively plan site-specific studies to understand the connection between wastewater effluent and shellfish beds, data are needed concerning flow dynamics and background fluorescence in the Atlantic Intracoastal Waterway near the effluent outfalls on Sullivan’s Island and the Isle of Palms. Tidal flows were computed by the U.S. Geological Survey for three stations and longitudinal water-quality profiles were collected at high and low tide. Flows for the three U.S. Geological Survey stations, the Atlantic Intracoastal Waterway by the Isle of Palms Marina, the Atlantic Intracoastal Waterway by the Ben M. Sawyer Memorial Bridge at Sullivan’s Island, and Breach Inlet, were computed for the 53-day period from December 4, 2011, to January 26, 2012. The largest flows occurred at Breach Inlet and ranged from -58,600 cubic feet per second (ft<sup>3</sup>/s) toward the Atlantic Intracoastal Waterway to 63,300 ft<sup>3</sup>/s toward the Atlantic Ocean. Of the two stations on the Atlantic Intracoastal Waterway, the Sullivan’s Island station had the larger flows and ranged from -6,360 ft<sup>3</sup>/s to the southwest (toward Charleston Harbor) to 8,930 ft<sup>3</sup>/s to the northeast. Computed tidal flow at the Isle of Palms station ranged from -3,460 ft<sup>3</sup>/s toward the southwest to 6,410 ft<sup>3</sup>/s toward the northeast. The synoptic water-quality study showed that the stations were well mixed vertically and horizontally. All fluorescence measurements (recorded as rhodamine concentration) were below the accuracy of the sensor and the background fluorescence would not likely interfere with a dye-tracer study.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131077","collaboration":"Prepared in cooperation with the South Carolina Department of Health and Environmental Control","usgsCitation":"Conrads, P., Journey, C.A., Clark, J.M., and Levesque, V.A., 2013, Tidal flow dynamics and background fluorescence of the Atlantic Intracoastal Waterway in the vicinity of Sullivan’s Island and the Isle of Palms, South Carolina, 2011-12: U.S. Geological Survey Open-File Report 2013-1077, v, 20 p., https://doi.org/10.3133/ofr20131077.","productDescription":"v, 20 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-12-04","temporalEnd":"2012-01-26","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":271412,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1077/"},{"id":271414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":271413,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1077/pdf/ofr2013-1077.pdf"}],"projection":"Universal Transverse Mercator projection, Zone 17","country":"United States","state":"South Carolina","otherGeospatial":"Isle of Palms, Sullivan's Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.96192932128906,\n              32.70757783494157\n            ],\n            [\n              -79.96192932128906,\n              32.87901051714101\n            ],\n            [\n              -79.64401245117188,\n              32.87901051714101\n            ],\n            [\n              -79.64401245117188,\n              32.70757783494157\n            ],\n            [\n              -79.96192932128906,\n              32.70757783494157\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5178f0dfe4b0d842c705f6c4","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":517762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":517763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Jimmy M. 0000-0002-3138-5738 jmclark@usgs.gov","orcid":"https://orcid.org/0000-0002-3138-5738","contributorId":4773,"corporation":false,"usgs":true,"family":"Clark","given":"Jimmy","email":"jmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":517765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Levesque, Victor A. levesque@usgs.gov","contributorId":4335,"corporation":false,"usgs":true,"family":"Levesque","given":"Victor","email":"levesque@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":517764,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045518,"text":"70045518 - 2013 - Detecting unfrozen sediments below thermokarst lakes with surface nuclear magnetic resonance","interactions":[],"lastModifiedDate":"2013-04-24T15:22:16","indexId":"70045518","displayToPublicDate":"2013-04-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Detecting unfrozen sediments below thermokarst lakes with surface nuclear magnetic resonance","docAbstract":"A talik is a layer or body of unfrozen ground that occurs in permafrost due to an anomaly in thermal, hydrological, or hydrochemical conditions. Information about talik geometry is important for understanding regional surface water and groundwater interactions as well as sublacustrine methane production in thermokarst lakes. Due to the direct measurement of unfrozen water content, surface nuclear magnetic resonance (NMR) is a promising geophysical method for noninvasively estimating talik dimensions. We made surface NMR measurements on thermokarst lakes and terrestrial permafrost near Fairbanks, Alaska, and confirmed our results using limited direct measurements. At an 8 m deep lake, we observed thaw bulb at least 22 m below the surface; at a 1.4 m deep lake, we detected a talik extending between 5 and 6 m below the surface. Our study demonstrates the value that surface NMR may have in the cryosphere for studies of thermokarst lake hydrology and their related role in the carbon cycle.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1002/grl.50137","usgsCitation":"Parsekian, A.D., Grosse, G., Walbrecker, J.O., Muller-Petke, M., Keating, K., Liu, L., Jones, B.M., and Knight, R., 2013, Detecting unfrozen sediments below thermokarst lakes with surface nuclear magnetic resonance: Geophysical Research Letters, v. 40, no. 3, p. 535-540, https://doi.org/10.1002/grl.50137.","productDescription":"6 p.","startPage":"535","endPage":"540","ipdsId":"IP-043197","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473864,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/grl.50137","text":"Publisher Index Page"},{"id":271419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271418,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/grl.50137"}],"volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-11","publicationStatus":"PW","scienceBaseUri":"5178f0dbe4b0d842c705f6a8","contributors":{"authors":[{"text":"Parsekian, Andrew D.","contributorId":23829,"corporation":false,"usgs":false,"family":"Parsekian","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":17842,"text":"University of Wyoming, Laramie","active":true,"usgs":false}],"preferred":false,"id":477709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":477715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walbrecker, Jan O.","contributorId":32061,"corporation":false,"usgs":true,"family":"Walbrecker","given":"Jan","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":477710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muller-Petke, Mike","contributorId":80996,"corporation":false,"usgs":true,"family":"Muller-Petke","given":"Mike","email":"","affiliations":[],"preferred":false,"id":477712,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keating, Kristina","contributorId":34018,"corporation":false,"usgs":true,"family":"Keating","given":"Kristina","affiliations":[],"preferred":false,"id":477711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Lin","contributorId":92950,"corporation":false,"usgs":false,"family":"Liu","given":"Lin","email":"","affiliations":[{"id":36342,"text":"Earth System Science Programme, Faculty of Science, Chinese University of Hong Kong, Hong Kong, China","active":true,"usgs":false}],"preferred":false,"id":477714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":477708,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knight, Rosemary","contributorId":84245,"corporation":false,"usgs":true,"family":"Knight","given":"Rosemary","email":"","affiliations":[],"preferred":false,"id":477713,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70045595,"text":"70045595 - 2013 - Comparative susceptibility among three stocks of yellow perch, <i>Perca flavescens</i> (Mitchill), to viral haemorrhagic septicaemia virus strain IVb from the Great Lakes","interactions":[],"lastModifiedDate":"2016-05-17T09:01:02","indexId":"70045595","displayToPublicDate":"2013-04-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Comparative susceptibility among three stocks of yellow perch, <i>Perca flavescens</i> (Mitchill), to viral haemorrhagic septicaemia virus strain IVb from the Great Lakes","docAbstract":"<p><span>The Great Lakes strain of viral haemorrhagic septicaemia virus IVb (VHSV-IVb) is capable of infecting a wide number of naive species and has been associated with large fish kills in the Midwestern United States since its discovery in 2005. The yellow perch,&nbsp;</span><i>Perca flavescens&nbsp;</i><span>(Mitchill), a freshwater species commonly found throughout inland waters of the United States and prized for its high value in sport and commercial fisheries, is a species documented in several fish kills affiliated with VHS. In the present study, differences in survival after infection with VHSV IVb were observed among juvenile fish from three yellow perch broodstocks that were originally derived from distinct wild populations, suggesting innate differences in susceptibility due to genetic variance. While all three stocks were susceptible upon waterborne exposure to VHS virus infection, fish derived from the Midwest (Lake Winnebago, WI) showed significantly lower cumulative % survival compared with two perch stocks derived from the East Coast (Perquimans River, NC and Choptank River, MD) of the United States. However, despite differences in apparent susceptibility, clinical signs did not vary between stocks and included moderate-to-severe haemorrhages at the pelvic and pectoral fin bases and exophthalmia. After the 28-day challenge was complete, VHS virus was analysed in subsets of whole fish that had either survived or succumbed to the infection using both plaque assay and quantitative PCR methodologies. A direct correlation was identified between the two methods, suggesting the potential for both methods to be used to detect virus in a research setting.</span></p>","language":"English","publisher":"Blackwell Science","doi":"10.1111/jfd.12068","usgsCitation":"Olson, W., Emmenegger, E., Glenn, J., Winton, J., and Goetz, F., 2013, Comparative susceptibility among three stocks of yellow perch, <i>Perca flavescens</i> (Mitchill), to viral haemorrhagic septicaemia virus strain IVb from the Great Lakes: Journal of Fish Diseases, v. 36, no. 8, p. 711-719, https://doi.org/10.1111/jfd.12068.","productDescription":"9 p.","startPage":"711","endPage":"719","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042613","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":271432,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.11,41.4 ], [ -92.11,48.85 ], [ -76.3,48.85 ], [ -76.3,41.4 ], [ -92.11,41.4 ] ] ] } } ] }","volume":"36","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-01-11","publicationStatus":"PW","scienceBaseUri":"5178f0dbe4b0d842c705f6a4","contributors":{"authors":[{"text":"Olson, W.","contributorId":95357,"corporation":false,"usgs":true,"family":"Olson","given":"W.","email":"","affiliations":[],"preferred":false,"id":477922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emmenegger, E.","contributorId":34324,"corporation":false,"usgs":true,"family":"Emmenegger","given":"E.","email":"","affiliations":[],"preferred":false,"id":477919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glenn, J.","contributorId":71086,"corporation":false,"usgs":true,"family":"Glenn","given":"J.","email":"","affiliations":[],"preferred":false,"id":477921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winton, J.","contributorId":55627,"corporation":false,"usgs":true,"family":"Winton","given":"J.","email":"","affiliations":[],"preferred":false,"id":477920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goetz, F.","contributorId":33203,"corporation":false,"usgs":true,"family":"Goetz","given":"F.","email":"","affiliations":[],"preferred":false,"id":477918,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045589,"text":"70045589 - 2013 - Emergence of MD type infectious hematopoietic necrosis virus in Washington State coastal steelhead trout","interactions":[],"lastModifiedDate":"2016-05-04T14:39:45","indexId":"70045589","displayToPublicDate":"2013-04-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Emergence of MD type infectious hematopoietic necrosis virus in Washington State coastal steelhead trout","docAbstract":"<p class=\"abstract_block\">Infectious hematopoietic necrosis virus (IHNV) occurs in North America as 3 major phylogenetic groups designated U, M, and L. In coastal Washington State, IHNV has historically consisted of U genogroup viruses found predominantly in sockeye salmon <i>Oncorhynchus nerka</i>. M genogroup IHNV, which has host-specific virulence for rainbow and steelhead trout <i>O. mykiss</i>, was detected only once in coastal Washington prior to 2007, in an epidemic among juvenile steelhead trout in 1997. Beginning in 2007 and continuing through 2011, there were 8 IHNV epidemics in juvenile steelhead trout, involving 7 different fish culture facilities in 4 separate watersheds. During the same time period, IHNV was also detected in asymptomatic adult steelhead trout from 6 coastal watersheds. Genetic typing of 283 recent virus isolates from coastal Washington revealed that the great majority were in the M genogroup of IHNV and that there were 2 distinct waves of viral emergence between the years 2007 and 2011. IHNV type mG110M was dominant in coastal steelhead trout during 2007 to 2009, and type mG139M was dominant between 2010 and 2011. Phylogenetic analysis of viral isolates indicated that all coastal M genogroup viruses detected in 1997 and 2007 to 2011 were part of the MD subgroup and that several novel genetic variants related to the dominant types arose in the coastal sites. Comparison of spatial and temporal incidence of coastal MD viruses with that of the rest of the Pacific Northwest indicated that the likely source of the emergent viruses was Columbia River Basin steelhead trout.&nbsp;</p>","language":"English","publisher":"Inter-Research Science Center","doi":"10.3354/dao02596","usgsCitation":"Breyta, R., Jones, A., Stewart, B., Brunson, R., Thomas, J., Kerwin, J., Bertolini, J., Mumford, S., Patterson, C., and Kurath, G., 2013, Emergence of MD type infectious hematopoietic necrosis virus in Washington State coastal steelhead trout: Diseases of Aquatic Organisms, v. 104, no. 3, p. 179-195, https://doi.org/10.3354/dao02596.","productDescription":"17 p.","startPage":"179","endPage":"195","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036460","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473863,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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Wildlife","active":true,"usgs":false}],"preferred":false,"id":477896,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bertolini, Jim","contributorId":80995,"corporation":false,"usgs":false,"family":"Bertolini","given":"Jim","email":"","affiliations":[{"id":7059,"text":"Northwest Indian Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":477897,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mumford, Sonia","contributorId":32356,"corporation":false,"usgs":false,"family":"Mumford","given":"Sonia","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":477894,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Patterson, Chris","contributorId":84167,"corporation":false,"usgs":false,"family":"Patterson","given":"Chris","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":477899,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":477902,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70045584,"text":"70045584 - 2013 - Estimating floodplain sedimentation in the Laguna de Santa Rosa, Sonoma County, CA","interactions":[],"lastModifiedDate":"2013-04-24T16:57:38","indexId":"70045584","displayToPublicDate":"2013-04-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Estimating floodplain sedimentation in the Laguna de Santa Rosa, Sonoma County, CA","docAbstract":"We present a conceptual and analytical framework for predicting the spatial distribution of floodplain sedimentation for the Laguna de Santa Rosa, Sonoma County, CA. We assess the role of the floodplain as a sink for fine-grained sediment and investigate concerns regarding the potential loss of flood storage capacity due to historic sedimentation. We characterized the spatial distribution of sedimentation during a post-flood survey and developed a spatially distributed sediment deposition potential map that highlights zones of floodplain sedimentation. The sediment deposition potential map, built using raster files that describe the spatial distribution of relevant hydrologic and landscape variables, was calibrated using 2 years of measured overbank sedimentation data and verified using longer-term rates determined using dendrochronology. The calibrated floodplain deposition potential relation was used to estimate an average annual floodplain sedimentation rate (3.6 mm/year) for the ~11 km<sup>2</sup> floodplain. This study documents the development of a conceptual model of overbank sedimentation, describes a methodology to estimate the potential for various parts of a floodplain complex to accumulate sediment over time, and provides estimates of short and long-term overbank sedimentation rates that can be used for ecosystem management and prioritization of restoration activities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-012-0350-4","usgsCitation":"Curtis, J.A., Flint, L.E., and Hupp, C.R., 2013, Estimating floodplain sedimentation in the Laguna de Santa Rosa, Sonoma County, CA: Wetlands, v. 33, no. 1, p. 29-45, https://doi.org/10.1007/s13157-012-0350-4.","productDescription":"17 p.","startPage":"29","endPage":"45","ipdsId":"IP-018988","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":271425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271424,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-012-0350-4"}],"country":"United States","state":"California","county":"Sonoma County","city":"Santa Rosa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.8341,38.3637 ], [ -122.8341,38.5074 ], [ -122.573,38.5074 ], [ -122.573,38.3637 ], [ -122.8341,38.3637 ] ] ] } } ] }","volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-12-20","publicationStatus":"PW","scienceBaseUri":"5178f0dee4b0d842c705f6b8","contributors":{"authors":[{"text":"Curtis, Jennifer A. 0000-0001-7766-994X jacurtis@usgs.gov","orcid":"https://orcid.org/0000-0001-7766-994X","contributorId":927,"corporation":false,"usgs":true,"family":"Curtis","given":"Jennifer","email":"jacurtis@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":477876,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045583,"text":"sir20125077 - 2013 - Numerical simulation of groundwater and surface-water interactions in the Big River Management Area, central Rhode Island","interactions":[],"lastModifiedDate":"2018-05-17T13:30:55","indexId":"sir20125077","displayToPublicDate":"2013-04-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5077","title":"Numerical simulation of groundwater and surface-water interactions in the Big River Management Area, central Rhode Island","docAbstract":"The Rhode Island Water Resources Board is considering use of groundwater resources from the Big River Management Area in central Rhode Island because increasing water demands in Rhode Island may exceed the capacity of current sources. Previous water-resources investigations in this glacially derived, valley-fill aquifer system have focused primarily on the effects of potential groundwater-pumping scenarios on streamflow depletion; however, the effects of groundwater withdrawals on wetlands have not been assessed, and such assessments are a requirement of the State’s permitting process to develop a water supply in this area.\n\nA need for an assessment of the potential effects of pumping on wetlands in the Big River Management Area led to a cooperative agreement in 2008 between the Rhode Island Water Resources Board, the U.S. Geological Survey, and the University of Rhode Island. This partnership was formed with the goal of developing methods for characterizing wetland vegetation, soil type, and hydrologic conditions, and monitoring and modeling water levels for pre- and post-water-supply development to assess potential effects of groundwater withdrawals on wetlands. This report describes the hydrogeology of the area and the numerical simulations that were used to analyze the interaction between groundwater and surface water in response to simulated groundwater withdrawals.\n\nThe results of this analysis suggest that, given the hydrogeologic conditions in the Big River Management Area, a standard 5-day aquifer test may not be sufficient to determine the effects of pumping on water levels in nearby wetlands. Model simulations showed water levels beneath Reynolds Swamp declined by about 0.1 foot after 5 days of continuous pumping, but continued to decline by an additional 4 to 6 feet as pumping times were increased from a 5-day simulation period to a simulation period representative of long-term average monthly conditions. This continued decline in water levels with increased pumping time is related to the shift from the primary source of water to the pumped wells being derived from aquifer storage during the early-time (5 days) simulation to being derived more from induced infiltration from the flooded portion of the Big River (southernmost extent of the Flat River Reservoir) during the months of March through October or from captured groundwater discharge to this portion of the Big River when the downstream Flat River Reservoir is drained for weed control during the months of November through February, as was the case for the long-term monthly conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125077","collaboration":"Prepared in cooperation with the Rhode Island Water Resources Board","usgsCitation":"Masterson, J., and Granato, G., 2013, Numerical simulation of groundwater and surface-water interactions in the Big River Management Area, central Rhode Island: U.S. Geological Survey Scientific Investigations Report 2012-5077, vi, 53 p., https://doi.org/10.3133/sir20125077.","productDescription":"vi, 53 p.","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":271417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125077.jpg"},{"id":271416,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5077/pdf/sir2012-5077_508.pdf"},{"id":271415,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5077/"}],"country":"United States","state":"Rhode Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.8923,41.1467 ], [ -71.8923,42.0188 ], [ -71.1205,42.0188 ], [ -71.1205,41.1467 ], [ -71.8923,41.1467 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5178f0dfe4b0d842c705f6c0","contributors":{"authors":[{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":477873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":477872,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043334,"text":"70043334 - 2013 - Developing a new stream metric for comparing stream function using a bank-floodplain sediment budget: a case study of three Piedmont streams","interactions":[],"lastModifiedDate":"2013-06-17T09:15:16","indexId":"70043334","displayToPublicDate":"2013-04-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Developing a new stream metric for comparing stream function using a bank-floodplain sediment budget: a case study of three Piedmont streams","docAbstract":"A bank and floodplain sediment budget was created for three Piedmont streams tributary to the Chesapeake Bay. The watersheds of each stream varied in land use from urban (Difficult Run) to urbanizing (Little Conestoga Creek) to agricultural (Linganore Creek). The purpose of the study was to determine the relation between geomorphic parameters and sediment dynamics and to develop a floodplain trapping metric for comparing streams with variable characteristics. Net site sediment budgets were best explained by gradient at Difficult Run, floodplain width at Little Conestoga Creek, and the relation of channel cross-sectional area to floodplain width at Linganore Creek. A correlation for all streams indicated that net site sediment budget was best explained by relative floodplain width (ratio of channel width to floodplain width). A new geomorphic metric, the floodplain trapping factor, was used to compare sediment budgets between streams with differing suspended sediment yields. Site sediment budgets were normalized by floodplain area and divided by the stream's sediment yield to provide a unitless measure of floodplain sediment trapping. A floodplain trapping factor represents the amount of upland sediment that a particular floodplain site can trap (e.g. a factor of 5 would indicate that a particular floodplain site traps the equivalent of 5 times that area in upland erosional source area). Using this factor we determined that Linganore Creek had the highest gross and net (floodplain deposition minus bank erosion) floodplain trapping factor (107 and 46, respectively) that Difficult Run the lowest gross floodplain trapping factor (29) and Little Conestoga Creek had the lowest net floodplain trapping factor (–14, indicating that study sites were net contributors to the suspended sediment load). The trapping factor is a robust metric for comparing three streams of varied watershed and geomorphic character, it promises to be a useful tool for future stream assessments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth Surface Processes and Landforms","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/esp.3314","usgsCitation":"Schenk, E.R., Hupp, C.R., Gellis, A., and Noe, G., 2013, Developing a new stream metric for comparing stream function using a bank-floodplain sediment budget: a case study of three Piedmont streams: Earth Surface Processes and Landforms, v. 38, no. 8, p. 771-784, https://doi.org/10.1002/esp.3314.","productDescription":"14 p.","startPage":"771","endPage":"784","ipdsId":"IP-039185","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":271433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271428,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/esp.3314"}],"country":"United States","otherGeospatial":"Piedmont;Difficult Run;Little Conestoga Creek;Linganore Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -78.18,36.91 ], [ -78.18,38.71 ], [ -75.64,38.71 ], [ -75.64,36.91 ], [ -78.18,36.91 ] ] ] } } ] }","volume":"38","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-09-23","publicationStatus":"PW","scienceBaseUri":"5178f0dce4b0d842c705f6ac","contributors":{"authors":[{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":473408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gellis, Allen","contributorId":37051,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","affiliations":[],"preferred":false,"id":473410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noe, Greg","contributorId":18650,"corporation":false,"usgs":true,"family":"Noe","given":"Greg","email":"","affiliations":[],"preferred":false,"id":473409,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044223,"text":"70044223 - 2013 - Spatial segregation of spawning habitat limits hybridization between sympatric native Steelhead and Coastal Cutthroat Trout","interactions":[],"lastModifiedDate":"2016-05-03T11:58:47","indexId":"70044223","displayToPublicDate":"2013-04-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Spatial segregation of spawning habitat limits hybridization between sympatric native Steelhead and Coastal Cutthroat Trout","docAbstract":"<p><span>Native Coastal Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii clarkii</i><span>&nbsp;and Coastal Steelhead&nbsp;</span><i>O. mykiss irideus</i><span>&nbsp;hybridize naturally in watersheds of the Pacific Northwest yet maintain species integrity. Partial reproductive isolation due to differences in spawning habitat may limit hybridization between these species, but this process is poorly understood. We used a riverscape approach to determine the spatial distribution of spawning habitats used by native Coastal Cutthroat Trout and Steelhead as evidenced by the distribution of recently emerged fry. Molecular genetic markers were used to classify individuals as pure species or hybrids, and individuals were assigned to age-classes based on length. Fish and physical habitat data were collected in a spatially continuous framework to assess the relationship between habitat and watershed features and the spatial distribution of parental species and hybrids. Sampling occurred in 35 reaches from tidewaters to headwaters in a small (20&nbsp;km</span><sup>2</sup><span>) coastal watershed in Washington State. Cutthroat, Steelhead, and hybrid trout accounted for 35%, 42%, and 23% of the fish collected, respectively. Strong segregation of spawning areas between Coastal Cutthroat Trout and Steelhead was evidenced by the distribution of age-0 trout. Cutthroat Trout were located farther upstream and in smaller tributaries than Steelhead were. The best predictor of species occurrence at a site was the drainage area of the watershed that contributed to the site. This area was positively correlated with the occurrence of age-0 Steelhead and negatively with the presence of Cutthroat Trout, whereas hybrids were found in areas occupied by both parental species. A similar pattern was observed in older juveniles of both species but overlap was greater, suggesting substantial dispersal of trout after emergence. Our results offer support for spatial reproductive segregation as a factor limiting hybridization between Steelhead and Coastal Cutthroat Trout.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2012.728165","usgsCitation":"Buehrens, T., Glasgow, J., Ostberg, C.O., and Quinn, T., 2013, Spatial segregation of spawning habitat limits hybridization between sympatric native Steelhead and Coastal Cutthroat Trout: Transactions of the American Fisheries Society, v. 142, no. 1, p. 221-233, https://doi.org/10.1080/00028487.2012.728165.","productDescription":"13 p.","startPage":"221","endPage":"233","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037064","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":271795,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Ellsworth Creek, Willapa Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.05,46.37 ], [ -124.05,46.70 ], [ -123.94,46.70 ], [ -123.94,46.37 ], [ -124.05,46.37 ] ] ] } } ] }","volume":"142","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-12-21","publicationStatus":"PW","scienceBaseUri":"5184dc65e4b04d6ec94d62bd","contributors":{"authors":[{"text":"Buehrens, T.W.","contributorId":9149,"corporation":false,"usgs":true,"family":"Buehrens","given":"T.W.","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":475133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glasgow, J.","contributorId":17116,"corporation":false,"usgs":true,"family":"Glasgow","given":"J.","email":"","affiliations":[],"preferred":false,"id":475134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostberg, Carl O. 0000-0003-1479-8458 costberg@usgs.gov","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":3031,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","email":"costberg@usgs.gov","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":475132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quinn, T.P.","contributorId":64535,"corporation":false,"usgs":false,"family":"Quinn","given":"T.P.","email":"","affiliations":[{"id":13190,"text":"School of Aquatic and Fishery Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":475135,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042643,"text":"70042643 - 2013 - Descriptors of natural thermal regimes in streams and their responsiveness to change in the Pacific Northwest of North America","interactions":[],"lastModifiedDate":"2013-04-23T14:17:42","indexId":"70042643","displayToPublicDate":"2013-04-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Descriptors of natural thermal regimes in streams and their responsiveness to change in the Pacific Northwest of North America","docAbstract":"1. Temperature is a major driver of ecological processes in stream ecosystems, yet the dynamics of thermal regimes remain poorly described. Most work has focused on relatively simple descriptors that fail to capture the full range of conditions that characterise thermal regimes of streams across seasons or throughout the year.\n\n2. To more completely describe thermal regimes, we developed several descriptors of magnitude, variability, frequency, duration and timing of thermal events throughout a year. We evaluated how these descriptors change over time using long-term (1979–2009), continuous temperature data from five relatively undisturbed cold-water streams in western Oregon, U.S.A. In addition to trends for each descriptor, we evaluated similarities among them, as well as patterns of spatial coherence, and temporal synchrony.\n\n3. Using different groups of descriptors, we were able to more fully capture distinct aspects of the full range of variability in thermal regimes across space and time. A subset of descriptors showed both higher coherence and synchrony and, thus, an appropriate level of responsiveness to examine evidence of regional climatic influences on thermal regimes. Most notably, daily minimum values during winter–spring were the most responsive descriptors to potential climatic influences.\n\n4. Overall, thermal regimes in streams we studied showed high frequency and low variability of cold temperatures during the cold-water period in winter and spring, and high frequency and high variability of warm temperatures during the warm-water period in summer and autumn. The cold and warm periods differed in the distribution of events with a higher frequency and longer duration of warm events in summer than cold events in winter. The cold period exhibited lower variability in the duration of events, but showed more variability in timing.\n\n5. In conclusion, our results highlight the importance of a year-round perspective in identifying the most responsive characteristics or descriptors of thermal regimes in streams. The descriptors we provide herein can be applied across hydro-ecological regions to evaluate spatial and temporal patterns in thermal regimes. Evaluation of coherence and synchrony of different components of thermal regimes can facilitate identification of impacts of regional climate variability or local human or natural influences.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/fwb.12094","usgsCitation":"Arismendi, I., Johnson, S.L., Dunham, J., and Haggerty, R., 2013, Descriptors of natural thermal regimes in streams and their responsiveness to change in the Pacific Northwest of North America: Freshwater Biology, v. 58, no. 5, p. 880-894, https://doi.org/10.1111/fwb.12094.","productDescription":"15 p.","startPage":"880","endPage":"894","ipdsId":"IP-042716","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":271407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271406,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/fwb.12094"}],"otherGeospatial":"North America","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 177.1,5.6 ], [ 177.1,85.4 ], [ -4.0,85.4 ], [ -4.0,5.6 ], [ 177.1,5.6 ] ] ] } } ] }","volume":"58","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-01-15","publicationStatus":"PW","scienceBaseUri":"51779f57e4b095699adf2722","contributors":{"authors":[{"text":"Arismendi, Ivan","contributorId":70661,"corporation":false,"usgs":true,"family":"Arismendi","given":"Ivan","affiliations":[],"preferred":false,"id":471965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Sherri L.","contributorId":91757,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":471966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":471964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haggerty, Roy","contributorId":102631,"corporation":false,"usgs":true,"family":"Haggerty","given":"Roy","affiliations":[],"preferred":false,"id":471967,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70157331,"text":"70157331 - 2013 - The energy-water nexus: Potential groundwater-quality degradation associated with production of shale gas","interactions":[],"lastModifiedDate":"2021-10-22T14:21:54.68561","indexId":"70157331","displayToPublicDate":"2013-04-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3828,"text":"Procedia Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"The energy-water nexus: Potential groundwater-quality degradation associated with production of shale gas","docAbstract":"<p><span>Oil and natural gas have been the main sources of primary energy in the USA, providing 63% of the total energy consumption in 2011. Petroleum production, drilling operations, and improperly sealed abandoned wells have caused significant local groundwater contamination in many states, including at the USGS OSPER sites in Oklahoma. The potential for groundwater contamination is higher when producing natural gas and oil from unconventional sources of energy, including shale and tight sandstones. These reservoirs require horizontally-completed wells and massive hydraulic fracturing that injects large volumes (up to 50,000 m3/well) of high-pressured water with added proppant, and toxic organic and inorganic chemicals. Recent results show that flow back and produced waters from Haynesville (Texas) and Marcellus (Pennsylvania) Shale have high salinities (&ge;200,000 mg/L TDS) and high NORMs (up to 10,000 picocuries/L) concentrations. A major research effort is needed worldwide to minimize all potential environmental impacts, especially groundwater contamination and induced seismicity, when producing these extremely important new sources of energy.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.proeps.2013.03.132","usgsCitation":"Kharaka, Y.K., Thordsen, J., Conaway, C., and Thomas, R.B., 2013, The energy-water nexus: Potential groundwater-quality degradation associated with production of shale gas: Procedia Earth and Planetary Science, v. 7, https://doi.org/10.1016/j.proeps.2013.03.132.","productDescription":"6 p.","startPage":"422","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042786","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473865,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.proeps.2013.03.132","text":"Publisher Index Page"},{"id":308294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","edition":"417","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fd35bee4b05d6c4e502c7f","contributors":{"authors":[{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":572713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thordsen, James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":572714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conaway, Christopher H.","contributorId":52620,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[],"preferred":false,"id":572715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Randal B. burt_thomas@usgs.gov","contributorId":5073,"corporation":false,"usgs":true,"family":"Thomas","given":"Randal","email":"burt_thomas@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":572716,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70154760,"text":"70154760 - 2013 - Effects of simulated angler capture and live-release tournaments on walleye survival","interactions":[],"lastModifiedDate":"2021-03-16T20:48:11.519042","indexId":"70154760","displayToPublicDate":"2013-04-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Effects of simulated angler capture and live-release tournaments on walleye survival","docAbstract":"<p><span>We examined the effects of acclimation water temperature,live‐well (LW) water temperature,and LW dissolved oxygen (DO) concentration on survival of adult Walleyes&nbsp;</span><i>Sander vitreus</i><span>&nbsp;subjected to simulated tournament conditions (angling,LW confinement,and weigh‐in procedures) under controlled laboratory conditions. We tested three acclimation temperatures (12,18,and 24°C),and three LW temperature differentials (Δ</span><i>T</i><span>&nbsp;= −4,0,and +4°C) were tested at each acclimation temperature. Survival was monitored after 8&nbsp;h of LW confinement and during a 5‐d retention period in 1,700‐L tanks. None of the Walleyes that were acclimated to 24°C and subjected to simulated tournament procedures survived the 5‐d retention period; for fish subjected only to simulated angling at 24°C,survival during the 5‐d retention period was 29%. Five‐day survival was generally over 70% at acclimation temperatures of 12°C and 18°C,and we observed a significant interaction between acclimation temperature and Δ</span><i>T</i><span>; survival was greatest in LWs at −4°C Δ</span><i>T</i><span>&nbsp;for fish acclimated to 18°C and in LWs at +4°C Δ</span><i>T</i><span>&nbsp;for fish acclimated to 12°C. Best survival of Walleyes subjected to the stress of angling and tournament procedures was obtained at temperatures 6–8°C below the optimum temperature for adult Walleyes (i.e.,optimum = 20–22°C). Five‐day survival exceeded 70% when LW DO was 5 or 12–15&nbsp;mg/L (at an acclimation and LW temperature of 18°C),but survival was 0% when DO was 2&nbsp;mg/L. Anglers may increase survival of Walleyes through careful manipulation of LW temperature and DO when ambient temperature is at or below 18°C,but high mortality of angled and LW‐retained Walleyes should be expected when ambient water temperatures are 24°C or greater.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2013.785979","usgsCitation":"Loomis, J.H., Schramm, H.L., Vondracek, B.C., Gerard, P., and Chizinski, C.J., 2013, Effects of simulated angler capture and live-release tournaments on walleye survival: Transactions of the American Fisheries Society, v. 142, no. 3, p. 868-875, https://doi.org/10.1080/00028487.2013.785979.","productDescription":"8 p.","startPage":"868","endPage":"875","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041083","costCenters":[{"id":198,"text":"Coop Res Unit 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Jr. hschramm@usgs.gov","contributorId":145424,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","suffix":"Jr.","email":"hschramm@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":563981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":564018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerard, Patrick D.","contributorId":140181,"corporation":false,"usgs":false,"family":"Gerard","given":"Patrick D.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":564019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":564020,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045552,"text":"sir20135044 - 2013 - Groundwater and surface-water interactions near White Bear Lake, Minnesota, through 2011","interactions":[],"lastModifiedDate":"2015-10-16T13:47:34","indexId":"sir20135044","displayToPublicDate":"2013-04-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5044","title":"Groundwater and surface-water interactions near White Bear Lake, Minnesota, through 2011","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the White Bear Lake Conservation District, the Minnesota Pollution Control Agency, the Minnesota Department of Natural Resources, and other State, county, municipal, and regional planning agencies, watershed organizations, and private organizations, conducted a study to characterize groundwater and surface-water interactions near White Bear Lake through 2011. During 2010 and 2011, White Bear Lake and other lakes in the northeastern part of the Twin Cities Metropolitan Area were at historically low levels. Previous periods of lower water levels in White Bear Lake correlate with periods of lower precipitation; however, recent urban expansion and increased pumping from the Prairie du Chien-Jordan aquifer have raised the question of whether a decline in precipitation is the primary cause for the recent water-level decline in White Bear Lake. Understanding and quantifying the amount of groundwater inflow to a lake and water discharge from a lake to aquifers is commonly difficult but is important in the management of lake levels. Three methods were used in the study to assess groundwater and surface-water interactions on White Bear Lake: (1)&nbsp;a historical assessment (1978-2011) of levels in White Bear Lake, local groundwater levels, and their relation to historical precipitation and groundwater withdrawals in the White Bear Lake area; (2) recent (2010-11) hydrologic and water-quality data collected from White Bear Lake, other lakes, and wells; and (3) water-balance assessments for White Bear Lake in March and August 2011. An analysis of covariance between average annual lake-level change and annual precipitation indicated the relation between the two variables was significantly different from 2003 through 2011 compared with 1978 through 2002, requiring an average of 4 more inches of precipitation per year to maintain the lake level. This shift in the linear relation between annual lake-level change and annual precipitation indicated the net effect of the non-precipitation terms on the water balance has changed relative to precipitation. The average amount of precipitation required each year to maintain the lake level has increased from 33 inches per year during 1978-2002 to 37 inches per year during 2003-11. The combination of lower precipitation and an increase in groundwater withdrawals can explain the change in the lake-level response to precipitation. Annual and summer groundwater withdrawals from the Prairie du Chien-Jordan aquifer have more than doubled from 1980 through 2010. Results from a regression model constructed with annual lake-level change, annual precipitation minus evaporation, and annual volume of groundwater withdrawn from the Prairie du Chien-Jordan aquifer indicated groundwater withdrawals had a greater effect than precipitation minus evaporation on water levels in the White Bear Lake area for all years since 2003. The recent (2003-11) decline in White Bear Lake reflects the declining water levels in the Prairie du Chien-Jordan aquifer; increases in groundwater withdrawals from this aquifer are a likely cause for declines in groundwater levels and lake levels. Synoptic, static groundwater-level and lake-level measurements in March/April and August 2011 indicated groundwater was potentially flowing into White Bear Lake from glacial aquifers to the northeast and south, and lake water was potentially discharging from White Bear Lake to the underlying glacial and Prairie du Chien-Jordan aquifers and glacial aquifers to the northwest. Groundwater levels in the Prairie du Chien-Jordan aquifer below White Bear Lake are approximately 0 to 19 feet lower than surface-water levels in the lake, indicating groundwater from the aquifer likely does not flow into White Bear Lake, but lake water may discharge into the aquifer. Groundwater levels from March/April to August 2011 declined more than 10 feet in the Prairie du Chien-Jordan aquifer south of White Bear Lake and to the north in Hugo, Minnesota. Water-quality analyses of pore water from nearshore lake-sediment and well-water samples, seepage-meter measurements, and hydraulic-head differences measured in White Bear Lake also indicated groundwater was potentially flowing into White Bear Lake from shallow glacial aquifers to the east and south. Negative temperature anomalies determined in shallow waters in the water-quality survey conducted in White Bear Lake indicated several shallow-water areas where groundwater may be flowing into the lake from glacial aquifers below the lake. Cool lake-sediment temperatures (less than 18 degrees Celsius) were measured in eight areas along the northeast, east, south, and southwest shores of White Bear Lake, indicating potential areas where groundwater may flow into the lake. Stable isotope analyses of well-water, precipitation, and lake-water samples indicated wells downgradient from White Bear Lake screened in the glacial buried aquifer or open to the Prairie du Chien-Jordan aquifer receive a mixture of surface water and groundwater; the largest surface-water contributions are in wells closer to White Bear Lake. A wide range in oxygen-18/oxygen-16 and deuterium/protium ratios was measured in well-water samples, indicating different sources of water are supplying water to the wells. Well water with oxygen-18/oxygen-16 and deuterium/protium ratios that plot close to the meteoric water line consisted mostly of groundwater because deuterium/protium ratios for most groundwater usually are similar to ratios for rainwater and snow, plotting close to meteoric water lines. Well water with oxygen-18/oxygen-16 and deuterium/protium ratios that plot between the meteoric water line and ratios for the surface-water samples from White Bear Lake consists of a mixture of surface water and groundwater; the percentage of each source varies relative to its ratios. White Bear Lake is the likely source of the surface water to the wells that have a mixture of surface water and groundwater because (1) it is the only large, deep lake near these wells; (2)&nbsp;these wells are near and downgradient from White Bear Lake; and (3) these wells obtain their water from relatively deep depths, and White Bear Lake is the deepest lake in that area. The percentages of surface-water contribution to the three wells screened in the glacial buried aquifer receiving surface water were 16, 48, and 83 percent. The percentages of surface-water contribution ranged from 5 to 79 percent for the five wells open to the Prairie du Chien-Jordan aquifer receiving surface water; wells closest to White Bear Lake had the largest percentages of surface-water contribution. Water-balance analysis of White Bear Lake in March and August 2011 indicated a potential discharge of 2.8 and 4.5 inches per month, respectively, over the area of the lake from the lake to local aquifers. Most of the sediments from a 12.4-foot lake core collected at the deepest part of White Bear Lake consisted of silts, sands, and gravels likely slumped from shallower waters, with a very low amount of low-permeability, organic material.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135044","collaboration":"Prepared in cooperation with the White Bear Lake Conservation District, Minnesota Pollution Control Agency, Minnesota Department of Natural Resources, Minnesota Board of Water and Soil Resources, Twin Cities Metropolitan Council, and the Groundwater/Surface-Water Interaction Partners","usgsCitation":"Jones, P.M., Trost, J.J., Rosenberry, D.O., Jackson, P., Bode, J.A., and O’Grady, R.M., 2013, Groundwater and surface-water interactions near White Bear Lake, Minnesota, through 2011: U.S. Geological Survey Scientific Investigations Report 2013-5044, ix, 73 p.; Downloads Directory, https://doi.org/10.3133/sir20135044.","productDescription":"ix, 73 p.; Downloads Directory","numberOfPages":"88","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-030440","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":271388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135044.gif"},{"id":271385,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5044/"},{"id":271387,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5044/downloads/"},{"id":271386,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5044/sir2013-5044.pdf"}],"country":"United States","state":"Minnesota","county":"Anoka County, Ramsey County, Washington County","city":"Minneapolis","otherGeospatial":"White Bear Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.2080078125,\n              44.92883525162427\n            ],\n            [\n              -93.2080078125,\n              45.2004253589021\n            ],\n            [\n              -92.80357360839842,\n              45.2004253589021\n            ],\n            [\n              -92.80357360839842,\n              44.92883525162427\n            ],\n            [\n              -93.2080078125,\n              44.92883525162427\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51779f59e4b095699adf272a","contributors":{"authors":[{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trost, Jared J. 0000-0003-0431-2151 jtrost@usgs.gov","orcid":"https://orcid.org/0000-0003-0431-2151","contributorId":3749,"corporation":false,"usgs":true,"family":"Trost","given":"Jared","email":"jtrost@usgs.gov","middleInitial":"J.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":477835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":477839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bode, Jenifer A. jabode@usgs.gov","contributorId":3857,"corporation":false,"usgs":true,"family":"Bode","given":"Jenifer","email":"jabode@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":477838,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Grady, Ryan M.","contributorId":83433,"corporation":false,"usgs":true,"family":"O’Grady","given":"Ryan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":477840,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045557,"text":"70045557 - 2013 - Comparing rapid and culture indicator bacteria methods at inland lake beaches","interactions":[],"lastModifiedDate":"2013-04-23T10:19:49","indexId":"70045557","displayToPublicDate":"2013-04-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparing rapid and culture indicator bacteria methods at inland lake beaches","docAbstract":"A rapid method, quantitative polymerase chain reaction (qPCR), for quantifying indicator bacteria in recreational waters is desirable for public health protection. We report that replacing current Escherichia coli standards with new US Environmental Protection Agency beach action values (BAVs) for enterococci by culture or qPCR may result in more advisories being posted at inland recreational lakes. In this study, concentrations of E. coli and enterococci by culture methods were compared to concentrations of Enterococcus spp. by qPCR at 3 inland lake beaches in Ohio. The E. coli and enterococci culture results were significantly related at all beaches; however, the relations between culture results and Enterococcus spp. qPCR results were not always significant and differed among beaches. All the qPCR results exceeded the new BAV for Enterococcus spp. by qPCR, whereas only 23.7% of culture results for E. coli and 79% of culture results for enterococci exceeded the current standard for E. coli or BAV for enterococci.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Lake and Reservoir Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.789941","usgsCitation":"Francy, D.S., Bushon, R.N., Brady, A., and Kephart, C.M., 2013, Comparing rapid and culture indicator bacteria methods at inland lake beaches: Lake and Reservoir Management, v. 29, no. 2, p. 99-102, https://doi.org/10.1080/10402381.2013.789941.","productDescription":"4 p.","startPage":"99","endPage":"102","ipdsId":"IP-040524","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":271393,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10402381.2013.789941"},{"id":271394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51779f56e4b095699adf271e","contributors":{"authors":[{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bushon, Rebecca N. rnbushon@usgs.gov","contributorId":2304,"corporation":false,"usgs":true,"family":"Bushon","given":"Rebecca","email":"rnbushon@usgs.gov","middleInitial":"N.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brady, Amie M. G.","contributorId":29774,"corporation":false,"usgs":true,"family":"Brady","given":"Amie M. G.","affiliations":[],"preferred":false,"id":477844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477842,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045566,"text":"ds761 - 2013 - Archive of post-Hurricane Isabel coastal oblique aerial photographs collected during U.S. Geological Survey Field Activity 03CCH01 from Ocean City, Maryland, to Fort Caswell, North Carolina and Inland from Waynesboro to Redwood, Virginia, September 21 - 23, 2003","interactions":[],"lastModifiedDate":"2016-12-02T12:13:32","indexId":"ds761","displayToPublicDate":"2013-04-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"761","title":"Archive of post-Hurricane Isabel coastal oblique aerial photographs collected during U.S. Geological Survey Field Activity 03CCH01 from Ocean City, Maryland, to Fort Caswell, North Carolina and Inland from Waynesboro to Redwood, Virginia, September 21 - 23, 2003","docAbstract":"On September 21 - 23, 2003, the United States Geological Survey (USGS) conducted an oblique aerial photographic survey along the Atlantic coast from Ocean City, Md., to Fort Caswell, N.C., and inland oblique aerial photographic survey from Waynesboro to Redwood, Va., aboard a Navajo Piper twin-engine airplane. The coastal survey was conducted at an altitude of 500 feet (ft) and approximately 1,000 ft offshore. For the inland photos, the aircraft tried to stay approximately 500 ft above the terrain. These coastal photos were used to document coastal changes like beach erosion and overwash caused by Hurricane Isabel, while the inland photos looked for potential landslides caused by heavy rains. The photos may also be used as baseline data for future coastal change analysis. The USGS and the National Aeronautics and Space Administration (NASA) surveyed the impact zone of Hurricane Isabel to better understand the changes in vulnerability of the Nation’s coasts to extreme storms (Morgan, 2009). This report serves as an archive of photographs collected during the September 21 - 23, 2003, post-Hurricane Isabel coastal and inland oblique aerial survey along with associated survey maps, KML files, navigation files, digital Field Activity Collection System (FACS) logs, and Federal Geographic Data Committee (FGDC) metadata. Refer to the Acronyms page for expansions of all acronyms and abbreviations used in this report.\n\nThe USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) assigns a unique identifier to each cruise or field activity. For example, 03CCH01 tells us the data were collected in 2003 for the Coastal Change Hazards (CCH) study and the data were collected during the first field activity for that project in that calendar year. Refer to http://walrus.wr.usgs.gov/infobank/programs/html/definition/activity.html for a detailed description of the method used to assign the ID number.\n\nThe photographs provided here are Joint Photographic Experts Group (JPEG) scanned images of the analog 35 millimeter (mm) color positive slides. The photograph locations are estimates of the location of the plane (see the Navigation page). The metadata values for photo creation time, GPS latitude, GPS longitude, GPS position (latitude and longitude), keywords, credit, artist, caption, copyright, and contact were added to each photograph's EXIF header using EXIFtool (Subino and others, 2012). Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet, or, when viewing the Google Earth KML file, by clicking on the marker and then clicking on either the thumbnail or the link below the thumbnail. Nathaniel Plant (USGS - St. Petersburg, Fla.), and Ann Marie Ascough (formerly contracted at the USGS - St. Petersburg, Fla.) helped with the creation of KML files. To view the photos and survey maps, proceed to the Photos and Maps page.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds761","collaboration":"Groundwater Resources Program","usgsCitation":"Subino, J.A., Morgan, K., Krohn, M.D., and Dadisman, S.V., 2013, Archive of post-Hurricane Isabel coastal oblique aerial photographs collected during U.S. Geological Survey Field Activity 03CCH01 from Ocean City, Maryland, to Fort Caswell, North Carolina and Inland from Waynesboro to Redwood, Virginia, September 21 - 23, 2003: U.S. Geological Survey Data Series 761, HTML Document, https://doi.org/10.3133/ds761.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2003-09-21","temporalEnd":"2003-09-23","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":271411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds761.gif"},{"id":271409,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/761/"},{"id":271410,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/761/pubs761/index.html"}],"country":"United States","state":"Maryland, North Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.70556640625,\n              33.37641235124676\n            ],\n            [\n              -80.70556640625,\n              39.639537564366684\n            ],\n            [\n              -73.67431640625,\n              39.639537564366684\n            ],\n            [\n              -73.67431640625,\n              33.37641235124676\n            ],\n            [\n              -80.70556640625,\n              33.37641235124676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51779f4fe4b095699adf271a","contributors":{"authors":[{"text":"Subino, Janice A.","contributorId":50386,"corporation":false,"usgs":true,"family":"Subino","given":"Janice","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":477856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, Karen L.M. 0000-0002-2994-5572","orcid":"https://orcid.org/0000-0002-2994-5572","contributorId":95553,"corporation":false,"usgs":true,"family":"Morgan","given":"Karen L.M.","affiliations":[],"preferred":false,"id":477857,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krohn, M. Dennis dkrohn@usgs.gov","contributorId":3378,"corporation":false,"usgs":true,"family":"Krohn","given":"M.","email":"dkrohn@usgs.gov","middleInitial":"Dennis","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":477855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":477854,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045508,"text":"70045508 - 2013 - Effects of currents and tides on fine-scale use of marine bird habitats in a Southeast Alaska hotspot","interactions":[],"lastModifiedDate":"2013-08-12T09:02:26","indexId":"70045508","displayToPublicDate":"2013-04-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2636,"text":"MEPS","active":true,"publicationSubtype":{"id":10}},"title":"Effects of currents and tides on fine-scale use of marine bird habitats in a Southeast Alaska hotspot","docAbstract":"Areas with high species richness have become focal points in the establishment of marine protected areas, but an understanding of the factors that support this diversity is still incomplete. In coastal areas, tidal currents—modulated by bathymetry and manifested in variable speeds—are a dominant physical feature of the environment. However, difficulties resolving tidally affected currents and depths at fine spatial-temporal scales have limited our ability to understand their influence the distribution of marine birds. We used a hydrographic model of the water mass in Glacier Bay, Alaska to link depths and current velocities with the locations of 15 common marine bird species observed during fine-scale boat-based surveys of the bay conducted during June of four consecutive years (2000-2003). Marine birds that forage on the bottom tended to occupy shallow habitats with slow-moving currents; mid-water foragers used habitats with intermediate depths and current speeds; and surface-foraging species tended to use habitats with fast-moving, deep waters. Within foraging groups there was variability among species in their use of habitats. While species obligated to foraging near bottom were constrained to use similar types of habitat, species in the mid-water foraging group were associated with a wider range of marine habitat characteristics. Species also showed varying levels of site use depending on tide stage. The dramatic variability in bottom topography—especially the presence of numerous sills, islands, headlands and channels—and large tidal ranges in Glacier Bay create a wide range of current-affected fine-scale foraging habitats that may contribute to the high diversity of marine bird species found there.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"MEPS","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research","doi":"10.3354/meps10304","usgsCitation":"Drew, G.S., Piatt, J.F., and Hill, D.J., 2013, Effects of currents and tides on fine-scale use of marine bird habitats in a Southeast Alaska hotspot: MEPS, v. 487, p. 275-286, https://doi.org/10.3354/meps10304.","productDescription":"12 p.","startPage":"275","endPage":"286","ipdsId":"IP-042964","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473868,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10304","text":"Publisher Index Page"},{"id":271396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271395,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10304"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"487","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51779f57e4b095699adf2726","contributors":{"authors":[{"text":"Drew, Gary S. 0000-0002-6789-0891 gdrew@usgs.gov","orcid":"https://orcid.org/0000-0002-6789-0891","contributorId":3311,"corporation":false,"usgs":true,"family":"Drew","given":"Gary","email":"gdrew@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":477666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, David J.","contributorId":77827,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":477668,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045548,"text":"ofr20131061 - 2013 - Groundwater-level trends and forecasts, and salinity trends, in the Azraq, Dead Sea, Hammad, Jordan Side Valleys, Yarmouk, and Zarqa groundwater basins, Jordan","interactions":[],"lastModifiedDate":"2013-04-22T13:18:43","indexId":"ofr20131061","displayToPublicDate":"2013-04-22T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1061","title":"Groundwater-level trends and forecasts, and salinity trends, in the Azraq, Dead Sea, Hammad, Jordan Side Valleys, Yarmouk, and Zarqa groundwater basins, Jordan","docAbstract":"Changes in groundwater levels and salinity in six groundwater basins in Jordan were characterized by using linear trends fit to well-monitoring data collected from 1960 to early 2011. On the basis of data for 117 wells, groundwater levels in the six basins were declining, on average about -1 meter per year (m/yr), in 2010. The highest average rate of decline, -1.9 m/yr, occurred in the Jordan Side Valleys basin, and on average no decline occurred in the Hammad basin. The highest rate of decline for an individual well was -9 m/yr. Aquifer saturated thickness, a measure of water storage, was forecast for year 2030 by using linear extrapolation of the groundwater-level trend in 2010. From 30 to 40 percent of the saturated thickness, on average, was forecast to be depleted by 2030. Five percent of the wells evaluated were forecast to have zero saturated thickness by 2030. Electrical conductivity was used as a surrogate for salinity (total dissolved solids). Salinity trends in groundwater were much more variable and less linear than groundwater-level trends. The long-term linear salinity trend at most of the 205 wells evaluated was not increasing, although salinity trends are increasing in some areas. The salinity in about 58 percent of the wells in the Amman-Zarqa basin was substantially increasing, and the salinity in Hammad basin showed a long-term increasing trend. Salinity increases were not always observed in areas with groundwater-level declines. The highest rates of salinity increase were observed in regional discharge areas near groundwater pumping centers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131061","collaboration":"Prepared in cooperation with the U.S. Agency for International Development and the U.S. Army Corps of Engineers","usgsCitation":"Goode, D., Senior, L.A., Subah, A., and Jaber, A., 2013, Groundwater-level trends and forecasts, and salinity trends, in the Azraq, Dead Sea, Hammad, Jordan Side Valleys, Yarmouk, and Zarqa groundwater basins, Jordan: U.S. Geological Survey Open-File Report 2013-1061, Report: viii, 80 p.; Executive Summary: 11 p.; ZIP of all files, https://doi.org/10.3133/ofr20131061.","productDescription":"Report: viii, 80 p.; Executive Summary: 11 p.; ZIP of all files","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":271361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131061.png"},{"id":271358,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1061/"},{"id":271359,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1061/support/ofr2013-1061.zip"},{"id":271360,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1061/support/ofr2013-1061.pdf"}],"projection":"Palestine 1923 Palestine Belt, Transverse Mercator","country":"Jordan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 34.8706,29.1809 ], [ 34.8706,33.3764 ], [ 39.3036,33.3764 ], [ 39.3036,29.1809 ], [ 34.8706,29.1809 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51764ddce4b0f989f99e0096","contributors":{"authors":[{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":477816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Subah, Ali","contributorId":66994,"corporation":false,"usgs":true,"family":"Subah","given":"Ali","email":"","affiliations":[],"preferred":false,"id":477818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaber, Ayman","contributorId":46398,"corporation":false,"usgs":true,"family":"Jaber","given":"Ayman","email":"","affiliations":[],"preferred":false,"id":477817,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70045470,"text":"70045470 - 2013 - Complex resistivity signatures of ethanol in sand-clay mixtures","interactions":[],"lastModifiedDate":"2013-04-21T19:27:31","indexId":"70045470","displayToPublicDate":"2013-04-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Complex resistivity signatures of ethanol in sand-clay mixtures","docAbstract":"We performed complex resistivity (CR) measurements on laboratory columns to investigate changes in electrical properties as a result of varying ethanol (EtOH) concentration (0% to 30% v/v) in a sand–clay (bentonite) matrix. We applied Debye decomposition, a phenomenological model commonly used to fit CR data, to determine model parameters (time constant: τ, chargeability: m, and normalized chargeability: m<sub>n</sub>). The CR data showed a significant (P ≤ 0.001) time-dependent variation in the clay driven polarization response (~ 12 mrad) for 0% EtOH concentration. This temporal variation probably results from the clay–water reaction kinetics trending towards equilibrium in the sand–clay–water system. The clay polarization is significantly suppressed (P ≤ 0.001) for both measured phase (ϕ) and imaginary conductivity (σ″) with increasing EtOH concentration. Normalized chargeability consistently decreases (by up to a factor of ~ 2) as EtOH concentration increases from 0% to 10% and 10 to 20%, respectively. We propose that such suppression effects are associated with alterations in the electrical double layer (EDL) at the clay–fluid interface due to (a) strong EtOH adsorption on clay, and (b) complex intermolecular EtOH–water interactions and subsequent changes in ionic mobility on the surface in the EDL. Changes in the CR data following a change of the saturating fluid from EtOH 20% to plain water indicate strong hysteresis effects in the electrical response, which we attribute to persistent EtOH adsorption on clay. Our results demonstrate high sensitivity of CR measurements to clay–EtOH interactions in porous media, indicating the potential application of this technique for characterization and monitoring of ethanol contamination in sediments containing clays.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Contaminant Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jconhyd.2013.03.005","usgsCitation":"Personna, Y.R., Slater, L., Ntarlagiannis, D., Werkema, D.D., and Szabo, Z., 2013, Complex resistivity signatures of ethanol in sand-clay mixtures: Journal of Contaminant Hydrology, v. 149, p. 76-87, https://doi.org/10.1016/j.jconhyd.2013.03.005.","productDescription":"12 p.","startPage":"76","endPage":"87","ipdsId":"IP-045055","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":271323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271322,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2013.03.005"}],"volume":"149","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5174fc5ee4b074c2b055647d","contributors":{"authors":[{"text":"Personna, Yves Robert","contributorId":77820,"corporation":false,"usgs":false,"family":"Personna","given":"Yves","email":"","middleInitial":"Robert","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":477578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":477577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ntarlagiannis, Dimitrios","contributorId":55303,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":477576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":477575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":2240,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":477574,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042335,"text":"70042335 - 2013 - Chemical contaminants in water and sediment near fish nesting sites in the Potomac River basin: determining potential exposures to smallmouth bass (Micropterus dolomieu)","interactions":[],"lastModifiedDate":"2021-05-27T14:08:26.588671","indexId":"70042335","displayToPublicDate":"2013-04-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Chemical contaminants in water and sediment near fish nesting sites in the Potomac River basin: determining potential exposures to smallmouth bass (Micropterus dolomieu)","docAbstract":"The Potomac River basin is an area where a high prevalence of abnormalities such as testicular oocytes (TO), skin lesions, and mortality has been observed in smallmouth bass (SMB, Micropterus dolomieu). Previous research documented a variety of chemicals in regional streams, implicating chemical exposure as one plausible explanation for these biological effects. Six stream sites in the Potomac basin (and one out-of-basin reference site) were sampled to provide an assessment of chemicals in these streams. Potential early life-stage exposure to chemicals detected was assessed by collecting samples in and around SMB nesting areas. Target chemicals included those known to be associated with important agricultural and municipal wastewater sources in the Potomac basin. The prevalence and severity of TO in SMB were also measured to determine potential relations between chemistry and biological effects.\n\nA total of 39 chemicals were detected at least once in the discrete-water samples, with atrazine, caffeine, deethylatrazine, simazine, and iso-chlorotetracycline being most frequently detected. Of the most frequently detected chemicals, only caffeine was detected in water from the reference site. No biogenic hormones/sterols were detected in the discrete-water samples. In contrast, 100 chemicals (including six biogenic hormones/sterols) were found in a least one passive-water sample, with 25 being detected at all such samples. In addition, 46 chemicals (including seven biogenic hormones/sterols) were found in the bed-sediment samples, with caffeine, cholesterol, indole, para-cresol, and sitosterol detected in all such samples.\n\nThe number of herbicides detected in discrete-water samples per site had a significant positive relation to TO<sub>rank</sub> (a nonparametric indicator of TO), with significant positive relations between TO<sub>rank</sub> and atrazine concentrations in discrete-water samples and to total hormone/sterol concentration in bed-sediment samples. Such significant correlations do not necessarily imply causation, as these chemical compositions and concentrations likely do not adequately reflect total SMB exposure history, particularly during critical life stages.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2012.09.063","usgsCitation":"Kolpin, D.W., Blazer, V., Gray, J.L., Focazio, M.J., Young, J.A., Alvarez, D., Iwanowicz, L., Foreman, W., Furlong, E.T., Speiran, G.K., Zaugg, S.D., Hubbard, L.E., Meyer, M.T., Sandstrom, M.W., and Barber, L.B., 2013, Chemical contaminants in water and sediment near fish nesting sites in the Potomac River basin: determining potential exposures to smallmouth bass (Micropterus dolomieu): Science of the Total Environment, v. 443, p. 700-716, https://doi.org/10.1016/j.scitotenv.2012.09.063.","productDescription":"17 p.","startPage":"700","endPage":"716","ipdsId":"IP-040996","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"links":[{"id":271301,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2012.09.063"},{"id":271302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Potomac River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -79.8,38.0 ], [ -79.8,40.1 ], [ -76.2,40.1 ], [ -76.2,38.0 ], [ -79.8,38.0 ] ] ] } } ] }","volume":"443","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b16fe4b0e619a5806ea1","contributors":{"authors":[{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":471315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":471312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":436,"text":"National Research Program - 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,{"id":70045493,"text":"sir20135082 - 2013 - Water volume and sediment volume and density in Lake Linganore between Boyers Mill Road Bridge and Bens Branch, Frederick County, Maryland, 2012","interactions":[],"lastModifiedDate":"2023-03-09T20:13:19.08246","indexId":"sir20135082","displayToPublicDate":"2013-04-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5082","title":"Water volume and sediment volume and density in Lake Linganore between Boyers Mill Road Bridge and Bens Branch, Frederick County, Maryland, 2012","docAbstract":"To assist in understanding sediment loadings and the management of water resources, a bathymetric survey was conducted in the part of Lake Linganore between Boyers Mill Road Bridge and Bens Branch in Frederick County, Maryland. The bathymetric survey was performed in January 2012 by the U.S. Geological Survey, in cooperation with the City of Frederick and Frederick County. A separate, but related, field effort to collect 18 sediment cores was conducted in March and April 2012. Depth and location data from the bathymetric survey and location data for the sediment cores were compiled and edited by using geographic information system (GIS) software. A three-dimensional triangulated irregular network (TIN) model of the lake bottom was created to calculate the volume of stored water in the reservoir. Large-scale topographic maps of the valley prior to inundation in 1972 were provided by the Frederick County Division of Utilities and Solid Waste Management and digitized for comparison with current (2012) conditions in order to calculate sediment volume. Cartographic representations of both water depth and sediment accumulation were produced, along with an accuracy assessment for the resulting bathymetric model. Vertical accuracies at the 95-percent confidence level for the collected data, the bathymetric surface model, and the bathymetric contour map were calculated to be 0.64 feet (ft), 1.77 ft, and 2.30 ft, respectively. A dry bulk sediment density was calculated for each of the 18 sediment cores collected during March and April 2012, and used to determine accumulated sediment mass.  Water-storage capacity in the study area is 110 acre-feet (acre-ft) at a full-pool elevation 308 ft above the National Geodetic Vertical Datum of 1929, whereas total sediment volume in the study area is 202 acre-ft. These totals indicate a loss of about 65 percent of the original water-storage capacity in the 40 years since dam construction. This corresponds to an average rate of sediment accumulation of 5.1 acre-ft per year since Linganore Creek was impounded.  Sediment thicknesses ranged from 0 to 16.7 ft. Sediment densities ranged from 0.38 to 1.08 grams per cubic centimeter, and generally decreased in the downstream direction. The total accumulated-sediment mass was 156,000 metric tons between 1972 and 2012.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135082","collaboration":"Prepared in cooperation with the City of Frederick, Maryland and Frederick County, Maryland","usgsCitation":"Sekellick, A.J., Banks, W.S., and Myers, M., 2013, Water volume and sediment volume and density in Lake Linganore between Boyers Mill Road Bridge and Bens Branch, Frederick County, Maryland, 2012: U.S. Geological Survey Scientific Investigations Report 2013-5082, vi, 17 p., https://doi.org/10.3133/sir20135082.","productDescription":"vi, 17 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":271218,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5082/pdf/sir2013-5082.pdf"},{"id":271217,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5082/"},{"id":271219,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135082.gif"}],"country":"United States","state":"Maryl","county":"Frederick","otherGeospatial":"Linganore Creek Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.40,39.15 ], [ -77.40,39.45 ], [ -77.05,39.45 ], [ -77.05,39.15 ], [ -77.40,39.15 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5172595ee4b0c173799e78f6","contributors":{"authors":[{"text":"Sekellick, Andrew J. 0000-0002-0440-7655 ajsekell@usgs.gov","orcid":"https://orcid.org/0000-0002-0440-7655","contributorId":4125,"corporation":false,"usgs":true,"family":"Sekellick","given":"Andrew","email":"ajsekell@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":477625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banks, William S.L.","contributorId":35281,"corporation":false,"usgs":true,"family":"Banks","given":"William","email":"","middleInitial":"S.L.","affiliations":[],"preferred":false,"id":477627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myers, Michael K. mkmyers@usgs.gov","contributorId":5160,"corporation":false,"usgs":true,"family":"Myers","given":"Michael K.","email":"mkmyers@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":477626,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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