{"pageNumber":"602","pageRowStart":"15025","pageSize":"25","recordCount":68919,"records":[{"id":70046844,"text":"70046844 - 2013 - Geochemical changes and fracture development in Woodford Shale cores following hydrous pyrolysis under uniaxial confinement","interactions":[],"lastModifiedDate":"2014-05-30T10:24:28","indexId":"70046844","displayToPublicDate":"2013-09-01T09:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geochemical changes and fracture development in Woodford Shale cores following hydrous pyrolysis under uniaxial confinement","docAbstract":"<p>A uniaxial confinement clamp was used on Woodford Shale cores in hydrous pyrolysis experiments to study fracture development during thermal maturation. The clamp simulates overburden in that it prevents cores from expanding perpendicular to bedding fabric during the volume-increasing reactions associated with petroleum generation. Cores were cut from a slab of immature Woodford Shale and subjected to hydrous pyrolysis under confinement at 300, 330, and 365 °C for 72 hours to induce thermal maturities ranging from early bitumen to maximum expelled-oil generation. Two additional cores were used as experimental controls: (1) a confined core was saturated with water by heating it to 100 °C under hydrous pyrolysis conditions for 72 hours to use for characterization of the original rock, and (2) an unconfined core was heated at 365 °C for 72 hours to evaluate the effects of confinement on petroleum generation and expulsion. X-ray computed tomography (X-CT) imaging and other analyses identified five distinct beds within the cored interval. Using a tentative classification system, beds 1, 2, and 3 are described as dolomitic marlstone (DM) with total organic carbon (TOC) contents of 7.7, 5.8, and 7.7 wt. %, respectively; bed 4 is a cherty quartzose claystone (CQC) with TOC content of 5.5 wt. %; and bed 5 is a quartzose claystone with TOC content of 10.9 wt. %. Bed samples all had similar Rock-Eval hydrogen indices (600 ± 46 mg S2/g-TOC) and Tmax values (433 ± 2 °C), demonstrating organic matter uniformity and low thermal maturity.</p>\n<br/>\n<p>The X-CT scan of the core heated to 100 °C showed preexisting fractures that were nearly perpendicular to the bedding fabric primarily in the low-TOC DM bed 2 and CQC bed 4. Heating led to enhancement of preexisting fractures in the confined cores with the greatest enhancement occurring in CQC bed 4. The fractures increased in size and intensity with temperature. This is attributed to the internal pressure generated by volume-increasing reactions during the conversion of kerogen to bitumen and bitumen to oil and gas. The unconfined core heated to 365 °C showed no enhanced fracturing and its X-CT-scan resembled that of the 100 °C confined core. Comparison of the oil and gas yields from the confined and unconfined cores heated to 365 °C showed no significant differences, indicating that product expulsion is not inhibited by the procedure used in this study. These results also indicate that fracturing during thermal maturation is driven primarily by the enhancement of existing fractures.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists, American Association of Petroleum Geologists, Society of Petroleum Engineers","doi":"10.1190/urtec2013-208","usgsCitation":"Birdwell, J.E., Lewan, M., and Miller, M., 2013, Geochemical changes and fracture development in Woodford Shale cores following hydrous pyrolysis under uniaxial confinement, <i>in</i> Unconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013, p. 2012-2019, https://doi.org/10.1190/urtec2013-208.","productDescription":"8 p.","startPage":"2012","endPage":"2019","numberOfPages":"8","ipdsId":"IP-046082","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":287650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287649,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1190/urtec2013-208"}],"noUsgsAuthors":false,"publicationDate":"2013-09-26","publicationStatus":"PW","scienceBaseUri":"53870569e4b0aa26cd7b53a8","contributors":{"editors":[{"text":"Baez, Luis","contributorId":111487,"corporation":false,"usgs":true,"family":"Baez","given":"Luis","email":"","affiliations":[],"preferred":false,"id":509343,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beeney, Ken","contributorId":112969,"corporation":false,"usgs":true,"family":"Beeney","given":"Ken","email":"","affiliations":[],"preferred":false,"id":509345,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sonnenberg, Steve","contributorId":112354,"corporation":false,"usgs":true,"family":"Sonnenberg","given":"Steve","affiliations":[],"preferred":false,"id":509344,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":480447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewan, Michael D. mlewan@usgs.gov","contributorId":940,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael D.","email":"mlewan@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":480446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Michael","contributorId":103182,"corporation":false,"usgs":true,"family":"Miller","given":"Michael","affiliations":[],"preferred":false,"id":480448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70102889,"text":"70102889 - 2013 - The effect of coal bed dewatering and partial oxidation on biogenic methane potential","interactions":[],"lastModifiedDate":"2014-04-25T10:08:27","indexId":"70102889","displayToPublicDate":"2013-09-01T09:46:29","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"The effect of coal bed dewatering and partial oxidation on biogenic methane potential","docAbstract":"Coal formation dewatering at a site in the Powder River Basin was associated with enhanced potential for secondary biogenic methane determined by using a bioassay. We hypothesized that dewatering can stimulate microbial activity and increase the bioavailability of coal. We analyzed one dewatered and two water-saturated coals to examine possible ways in which dewatering influences coal bed natural gas biogenesis by looking at differences with respect to the native coal microbial community, coal-methane organic intermediates, and residual coal oxidation potential. Microbial biomass did not increase in response to dewatering. Small Subunit rRNA sequences retrieved from all coals sampled represented members from genera known to be aerobic, anaerobic and facultatively anaerobic. A Bray Curtis similarity analysis indicated that the microbial communities in water-saturated coals were more similar to each other than to the dewatered coal, suggesting an effect of dewatering. There was a higher incidence of long chain and volatile fatty acid intermediates in incubations of the dewatered coal compared to the water-saturated coals, and this could either be due to differences in microbial enzymatic activities or to chemical oxidation of the coal associated with O<sub>2</sub> exposure. Dilute H<sub>2</sub>O<sub>2</sub> treatment of two fractions of structural coal (kerogen and bitumen + kerogen) was used as a proxy for chemical oxidation by O<sub>2</sub>. The dewatered coal had a low residual oxidation potential compared to the water-saturated coals. Oxidation with 5% H<sub>2</sub>O<sub>2</sub> did increase the bioavailability of structural coal, and the increase in residual oxidation potential in the water saturated coals was approximately equivalent to the higher methanogenic potential measured in the dewatered coal. Evidence from this study supports the idea that coal bed dewatering could stimulate biogenic methanogenesis through partial oxidation of the structural organics in coal once anaerobic conditions are restored.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Coal Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2013.03.011","usgsCitation":"Jones, E., Harris, S.H., Barnhart, E.P., Orem, W.H., Clark, A.C., Corum, M., Kirshtein, J.D., Varonka, M.S., and Voytek, M.A., 2013, The effect of coal bed dewatering and partial oxidation on biogenic methane potential: International Journal of Coal Geology, v. 115, p. 54-63, https://doi.org/10.1016/j.coal.2013.03.011.","productDescription":"10 p.","startPage":"54","endPage":"63","numberOfPages":"10","ipdsId":"IP-044837","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":286616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286608,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coal.2013.03.011"}],"country":"United States","state":"Montana;Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.92,42.46 ], [ -108.92,46.92 ], [ -104.0,46.92 ], [ -104.0,42.46 ], [ -108.92,42.46 ] ] ] } } ] }","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"535b68f7e4b0519b31c21f8d","contributors":{"authors":[{"text":"Jones, Elizabeth","contributorId":102998,"corporation":false,"usgs":true,"family":"Jones","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":493076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Steve H. Jr.","contributorId":54889,"corporation":false,"usgs":true,"family":"Harris","given":"Steve","suffix":"Jr.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":493074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":493068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Arthur C. aclark@usgs.gov","contributorId":2320,"corporation":false,"usgs":true,"family":"Clark","given":"Arthur","email":"aclark@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":493070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corum, M.D. 0000-0002-9038-3935 mcorum@usgs.gov","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":2249,"corporation":false,"usgs":true,"family":"Corum","given":"M.D.","email":"mcorum@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":493069,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirshtein, Julie D.","contributorId":26033,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":493073,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Varonka, Matthew S. 0000-0003-3620-5262 mvaronka@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":4726,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew","email":"mvaronka@usgs.gov","middleInitial":"S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":493071,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":493075,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70119596,"text":"70119596 - 2013 - Temporal and spatial variability of groundwater recharge on Jeju Island, Korea","interactions":[],"lastModifiedDate":"2017-01-11T15:54:29","indexId":"70119596","displayToPublicDate":"2013-09-01T09:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variability of groundwater recharge on Jeju Island, Korea","docAbstract":"<p>Estimates of groundwater recharge spatial and temporal variability are essential inputs to groundwater flow models that are used to test groundwater availability under different management and climate conditions. In this study, a soil water balance analysis was conducted to estimate groundwater recharge on the island of Jeju, Korea, for baseline, drought, and climate-land use change scenarios. The Soil Water Balance (SWB) computer code was used to compute groundwater recharge and other water balance components at a daily time step using a 100 m grid cell size for an 18-year baseline scenario (1992–2009). A 10-year drought scenario was selected from historical precipitation trends (1961–2009), while the climate-land use change scenario was developed using late 21st century climate projections and a change in urban land use. Mean annual recharge under the baseline, drought, and climate-land use scenarios was estimated at 884, 591, and 788 mm, respectively. Under the baseline scenario, mean annual recharge was within the range of previous estimates (825–959 mm) and only slightly lower than the mean of 902 mm. As a fraction of mean annual rainfall, mean annual recharge was computed as only 42% and less than previous estimates of 44–48%. The maximum historical reported annual pumping rate of 241 × 10<sup>6</sup> m<sup>3</sup> equates to 15% of baseline recharge, which is within the range of 14–16% computed from earlier studies. The model does not include a mechanism to account for additional sources of groundwater recharge, such as fog drip, irrigation, and artificial recharge, and may also overestimate evapotranspiration losses. Consequently, the results presented in this study represent a conservative estimate of total recharge.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.08.015","usgsCitation":"Mair, A., Hagedorn, B., Tillery, S., El-Kadi, A.I., Westenbroek, S.M., Ha, K., and Koh, G., 2013, Temporal and spatial variability of groundwater recharge on Jeju Island, Korea: Journal of Hydrology, v. 501, p. 213-226, https://doi.org/10.1016/j.jhydrol.2013.08.015.","productDescription":"14 p.","startPage":"213","endPage":"226","numberOfPages":"14","ipdsId":"IP-049366","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":291899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Korea","state":"Jeju","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 126.1472,33.1764 ], [ 126.1472,33.5679 ], [ 126.9743,33.5679 ], [ 126.9743,33.1764 ], [ 126.1472,33.1764 ] ] ] } } ] }","volume":"501","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e5e445e4b0b6c2798afb04","contributors":{"authors":[{"text":"Mair, Alan","contributorId":104822,"corporation":false,"usgs":true,"family":"Mair","given":"Alan","affiliations":[],"preferred":false,"id":497734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagedorn, Benjamin","contributorId":74683,"corporation":false,"usgs":true,"family":"Hagedorn","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":497731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillery, Suzanne","contributorId":84274,"corporation":false,"usgs":true,"family":"Tillery","given":"Suzanne","email":"","affiliations":[],"preferred":false,"id":497732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"El-Kadi, Aly I.","contributorId":41702,"corporation":false,"usgs":true,"family":"El-Kadi","given":"Aly","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":497729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":497730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ha, Kyoochul","contributorId":19882,"corporation":false,"usgs":true,"family":"Ha","given":"Kyoochul","email":"","affiliations":[],"preferred":false,"id":497728,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koh, Gi-Won","contributorId":97826,"corporation":false,"usgs":true,"family":"Koh","given":"Gi-Won","email":"","affiliations":[],"preferred":false,"id":497733,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70104148,"text":"70104148 - 2013 - Environmental fate of fungicides and other current-use pesticides in a central California estuary","interactions":[],"lastModifiedDate":"2014-05-12T09:46:19","indexId":"70104148","displayToPublicDate":"2013-09-01T09:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Environmental fate of fungicides and other current-use pesticides in a central California estuary","docAbstract":"The current study documents the fate of current-use pesticides in an agriculturally-dominated central California coastal estuary by focusing on the occurrence in water, sediment and tissue of resident aquatic organisms. Three fungicides (azoxystrobin, boscalid, and pyraclostrobin), one herbicide (propyzamide) and two organophosphate insecticides (chlorpyrifos and diazinon) were detected frequently. Dissolved pesticide concentrations in the estuary corresponded to the timing of application while bed sediment pesticide concentrations correlated with the distance from potential sources. Fungicides and insecticides were detected frequently in fish and invertebrates collected near the mouth of the estuary and the contaminant profiles differed from the sediment and water collected. This is the first study to document the occurrence of many current-use pesticides, including fungicides, in tissue. Limited information is available on the uptake, accumulation and effects of current-use pesticides on non-target organisms. Additional data are needed to understand the impacts of pesticides, especially in small agriculturally-dominated estuaries.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Pollution Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2013.05.028","usgsCitation":"Smalling, K., Kuivila, K., Orlando, J., Phillips, B.M., Anderson, B.S., Siegler, K., Hunt, J.W., and Hamilton, M., 2013, Environmental fate of fungicides and other current-use pesticides in a central California estuary: Marine Pollution Bulletin, v. 73, no. 1, p. 144-153, https://doi.org/10.1016/j.marpolbul.2013.05.028.","productDescription":"10 p.","startPage":"144","endPage":"153","numberOfPages":"10","ipdsId":"IP-043831","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":287046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287045,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.marpolbul.2013.05.028"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.7961,34.4986 ], [ -120.7961,35.0952 ], [ -119.3953,35.0952 ], [ -119.3953,34.4986 ], [ -120.7961,34.4986 ] ] ] } } ] }","volume":"73","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5371ed70e4b0844954788413","contributors":{"authors":[{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":493566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":493565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":493572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Bryn M.","contributorId":77053,"corporation":false,"usgs":true,"family":"Phillips","given":"Bryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":493570,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Brian S.","contributorId":42882,"corporation":false,"usgs":true,"family":"Anderson","given":"Brian","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":493567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Siegler, Katie","contributorId":54893,"corporation":false,"usgs":true,"family":"Siegler","given":"Katie","email":"","affiliations":[],"preferred":false,"id":493569,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, John W.","contributorId":50445,"corporation":false,"usgs":true,"family":"Hunt","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":493568,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hamilton, Mary","contributorId":86696,"corporation":false,"usgs":true,"family":"Hamilton","given":"Mary","email":"","affiliations":[],"preferred":false,"id":493571,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70074635,"text":"70074635 - 2013 - Recent land-use/land-cover change in the Central California Valley","interactions":[],"lastModifiedDate":"2014-01-31T09:33:11","indexId":"70074635","displayToPublicDate":"2013-09-01T09:22:30","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2367,"text":"Journal of Land Use Science","active":true,"publicationSubtype":{"id":10}},"title":"Recent land-use/land-cover change in the Central California Valley","docAbstract":"Open access to Landsat satellite data has enabled annual analyses of modern land-use and land-cover change (LULCC) for the Central California Valley ecoregion between 2005 and 2010. Our annual LULCC estimates capture landscape-level responses to water policy changes, climate, and economic instability. From 2005 to 2010, agriculture in the region fluctuated along with regulatory-driven changes in water allocation as well as persistent drought conditions. Grasslands and shrublands declined, while developed lands increased in former agricultural and grassland/shrublands. Development rates stagnated in 2007, coinciding with the onset of the historic foreclosure crisis in California and the global economic downturn. We utilized annual LULCC estimates to generate interval-based LULCC estimates (2000–2005 and 2005–2010) and extend existing 27 year interval-based land change monitoring through 2010. Resulting change data provides insights into the drivers of landscape change in the Central California Valley ecoregion and represents the first, continuous, 37 year mapping effort of its kind.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Land Use Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/1747423X.2013.841297","usgsCitation":"Soulard, C.E., and Wilson, T.S., 2013, Recent land-use/land-cover change in the Central California Valley: Journal of Land Use Science, 22 p., https://doi.org/10.1080/1747423X.2013.841297.","productDescription":"22 p.","ipdsId":"IP-041215","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":473576,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/1747423x.2013.841297","text":"Publisher Index Page"},{"id":281791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281790,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/1747423X.2013.841297"}],"country":"United States","state":"California","otherGeospatial":"Central California Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.62,34.86 ], [ -121.62,39.22 ], [ -119.18,39.22 ], [ -119.18,34.86 ], [ -121.62,34.86 ] ] ] } } ] }","noUsgsAuthors":false,"publicationDate":"2013-09-25","publicationStatus":"PW","scienceBaseUri":"53cd6f50e4b0b29085106578","contributors":{"authors":[{"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":489618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tamara S.","contributorId":36640,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":489619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70094655,"text":"70094655 - 2013 - Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River","interactions":[],"lastModifiedDate":"2017-10-24T15:17:59","indexId":"70094655","displayToPublicDate":"2013-09-01T09:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River","docAbstract":"Nest-habitat selection in colonial species has rarely been assessed at multiple spatial scales to evaluate its fitness consequences. Management for the federally endangered U.S. Interior population of Least Terns (Sternula antillarum) has focused on maintenance of breeding habitats, including mechanical construction of sandbars from dredged material. Least Terns are attracted to large areas of unvegetated substrate, yet small-scale habitat features are thought to trigger selection for nesting. We evaluated nest-scale habitat selection to determine (1) whether selection differs between constructed and natural sandbars and (2) the subsequent consequences of habitat selection on nest success. During 2006–2008, we examined 869 Least Tern nest sites on constructed and natural sandbars in the Missouri River for evidence of microhabitat selection at the nest in relation to habitat within the surrounding 3-m area. Least Tern nest sites had coarser and larger substrate materials at the nest, more debris, and less vegetation than the surrounding area. Nests in constructed habitats had a greater percentage of coarse substrates and less vegetation or debris than nests in naturally created habitats. Apparent nest success was 1.8× greater on constructed than on natural sandbars. Nest success was best predicted by models with two spatial scales of predictors, including substrates (nest) and vegetation and debris (nest or surrounding area). Our results indicate that Least Terns select nest microhabitat characteristics that are associated with wind- and water-scoured habitats, and that nest success increases when these habitats are selected.","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2013.13048","usgsCitation":"Stucker, J.H., Buhl, D., and Sherfy, M.H., 2013, Consequences of least tern (<i>Sternula antillarum</i>) microhabitat nest-site selection on natural and mechanically constructed sandbars in the Missouri River: The Auk, v. 130, no. 4, p. 753-763, https://doi.org/10.1525/auk.2013.13048.","productDescription":"11 p.","startPage":"753","endPage":"763","ipdsId":"IP-024623","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2013.13048","text":"Publisher Index Page"},{"id":282660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska;South Dakota","otherGeospatial":"Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.4226,42.5748 ], [ -98.4226,42.9832 ], [ -96.6453,42.9832 ], [ -96.6453,42.5748 ], [ -98.4226,42.5748 ] ] ] } } ] }","volume":"130","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5287e4b0b290850f495e","contributors":{"authors":[{"text":"Stucker, Jennifer H. jstucker@usgs.gov","contributorId":3183,"corporation":false,"usgs":true,"family":"Stucker","given":"Jennifer","email":"jstucker@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":490754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Deborah A. 0000-0002-8563-5990","orcid":"https://orcid.org/0000-0002-8563-5990","contributorId":26250,"corporation":false,"usgs":true,"family":"Buhl","given":"Deborah A.","affiliations":[],"preferred":false,"id":490755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":490753,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70095255,"text":"70095255 - 2013 - A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series","interactions":[],"lastModifiedDate":"2014-03-04T08:17:54","indexId":"70095255","displayToPublicDate":"2013-09-01T08:13:52","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series","docAbstract":"he Grubbs-Beck test is recommended by the federal guidelines for detection of low outliers in flood flow frequency computation in the United States. This paper presents a generalization of the Grubbs-Beck test for normal data (similar to the Rosner (1983) test; see also Spencer and McCuen (1996)) that can provide a consistent standard for identifying multiple potentially influential low flows. In cases where low outliers have been identified, they can be represented as “less-than” values, and a frequency distribution can be developed using censored-data statistical techniques, such as the Expected Moments Algorithm. This approach can improve the fit of the right-hand tail of a frequency distribution and provide protection from lack-of-fit due to unimportant but potentially influential low flows (PILFs) in a flood series, thus making the flood frequency analysis procedure more robust.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/wrcr.20392","usgsCitation":"Cohn, T., England, J., Berenbrock, C., Mason, R., Stedinger, J., and Lamontagne, J., 2013, A generalized Grubbs-Beck test statistic for detecting multiple potentially influential low outliers in flood series: Water Resources Research, v. 49, no. 8, p. 5047-5058, https://doi.org/10.1002/wrcr.20392.","productDescription":"12 p.","startPage":"5047","endPage":"5058","ipdsId":"IP-042563","costCenters":[{"id":629,"text":"Water Resources Division","active":false,"usgs":true}],"links":[{"id":473579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20392","text":"Publisher Index Page"},{"id":283198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283197,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20392"}],"volume":"49","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"53cd49dae4b0b290850ef6be","contributors":{"authors":[{"text":"Cohn, T.A.","contributorId":84789,"corporation":false,"usgs":true,"family":"Cohn","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":491161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"England, J.F.","contributorId":47687,"corporation":false,"usgs":true,"family":"England","given":"J.F.","affiliations":[],"preferred":false,"id":491159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berenbrock, C. E.","contributorId":103321,"corporation":false,"usgs":true,"family":"Berenbrock","given":"C. E.","affiliations":[],"preferred":false,"id":491163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, R.R.","contributorId":34520,"corporation":false,"usgs":true,"family":"Mason","given":"R.R.","affiliations":[],"preferred":false,"id":491158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stedinger, J.R.","contributorId":90733,"corporation":false,"usgs":true,"family":"Stedinger","given":"J.R.","affiliations":[],"preferred":false,"id":491162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamontagne, J.R.","contributorId":56148,"corporation":false,"usgs":true,"family":"Lamontagne","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":491160,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70171000,"text":"70171000 - 2013 - Widespread occurrence of neuro-active pharmaceuticals and metabolites in 24 Minnesota rivers and wastewaters","interactions":[],"lastModifiedDate":"2020-10-16T16:37:23.483776","indexId":"70171000","displayToPublicDate":"2013-09-01T01:15:00","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":"Widespread occurrence of neuro-active pharmaceuticals and metabolites in 24 Minnesota rivers and wastewaters","docAbstract":"<p><span>Concentrations of 17 neuro-active pharmaceuticals and their major metabolites (bupropion, hydroxy-bupropion, erythro-hydrobupropion, threo-hydrobupropion, carbamazepine, 10,11,-dihydro-10,11,-dihydroxycarbamazepine, 10-hydroxy-carbamazepine, citalopram,&nbsp;</span><i>N</i><span>-desmethyl-citalopram, fluoxetine, norfluoxetine, gabapentin, lamotrigine, 2-N-glucuronide-lamotrigine, oxcarbazepine, venlafaxine and O-desmethyl-venlafaxine), were measured in treated wastewater and receiving surface waters from 24 locations across Minnesota, USA. The analysis of upstream and downstream sampling sites indicated that the wastewater treatment plants were the major source of the neuro-active pharmaceuticals and associated metabolites in surface waters of Minnesota. Concentrations of parent compound and the associated metabolite varied substantially between treatment plants (concentrations</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>standard deviation of the parent compound relative to its major metabolite) as illustrated by the following examples; bupropion and hydrobupropion 700</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>1000</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, 2100</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>1700</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, carbamazepine and 10-hydroxy-carbamazepine 480</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>380</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, 360</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>400</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, venlafaxine and&nbsp;</span><i>O</i><span>-desmethyl-venlafaxine 1400</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>1300</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>, 1800</span><span>&nbsp;</span><span>±</span><span>&nbsp;</span><span>2300</span><span>&nbsp;</span><span>ng</span><span>&nbsp;</span><span>L</span><sup>−&nbsp;1</sup><span>. Metabolites of the neuro-active compounds were commonly found at higher or comparable concentrations to the parent compounds in wastewater effluent and the receiving surface water. Neuro-active pharmaceuticals and associated metabolites were detected only sporadically in samples upstream from the effluent outfall. Metabolite to parent ratios were used to evaluate transformation, and we determined that ratios in wastewater were much lower than those reported in urine, indicating that the metabolites are relatively more labile than the parent compounds in the treatment plants and in receiving waters. The widespread occurrence of neuro-active pharmaceuticals and metabolites in Minnesota effluents and surface waters indicate that this is likely a global environmental issue, and further understanding of the environmental fate and impacts of these compounds is warranted.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.04.099","usgsCitation":"Writer, J., Ferrer, I., Barber, L.B., and Thurman, E.M., 2013, Widespread occurrence of neuro-active pharmaceuticals and metabolites in 24 Minnesota rivers and wastewaters: Science of the Total Environment, v. 461-462, p. 519-527, https://doi.org/10.1016/j.scitotenv.2013.04.099.","productDescription":"9 p.","startPage":"519","endPage":"527","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040485","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":321291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-92.204691,46.704041],[-92.205192,46.698341],[-92.183091,46.695241],[-92.176091,46.686341],[-92.204092,46.666941],[-92.201592,46.656641],[-92.207092,46.651941],[-92.242493,46.649241],[-92.256592,46.658741],[-92.270592,46.650741],[-92.274392,46.657441],[-92.286192,46.660342],[-92.287392,46.667342],[-92.291292,46.668142],[-92.292192,46.663308],[-92.294033,46.074377],[-92.332912,46.062697],[-92.35176,46.015685],[-92.372717,46.014198],[-92.410649,46.027259],[-92.428555,46.024241],[-92.442259,46.016177],[-92.453373,45.992913],[-92.464512,45.985038],[-92.461138,45.980216],[-92.469354,45.973811],[-92.527052,45.983245],[-92.548459,45.969056],[-92.551186,45.95224],[-92.60246,45.940815],[-92.614314,45.934529],[-92.638824,45.934166],[-92.638474,45.925971],[-92.659549,45.922937],[-92.676167,45.912072],[-92.675737,45.907478],[-92.707702,45.894901],[-92.734039,45.868108],[-92.739278,45.84758],[-92.765146,45.830183],[-92.757815,45.806574],[-92.776496,45.790014],[-92.784621,45.764196],[-92.809837,45.744172],[-92.869193,45.717568],[-92.870025,45.697272],[-92.875488,45.689014],[-92.887929,45.639006],[-92.882529,45.610216],[-92.886442,45.598679],[-92.883749,45.575483],[-92.871082,45.567581],[-92.823309,45.560934],[-92.770223,45.566939],[-92.726082,45.541112],[-92.726677,45.514462],[-92.702224,45.493046],[-92.680234,45.464344],[-92.653549,45.455346],[-92.646602,45.441635],[-92.650422,45.398507],[-92.664102,45.393309],[-92.676961,45.380137],[-92.678223,45.373604],[-92.70272,45.358472],[-92.698967,45.336374],[-92.709968,45.321302],[-92.737122,45.300459],[-92.761013,45.289028],[-92.760615,45.278827],[-92.751659,45.26591],[-92.760249,45.2496],[-92.751708,45.218666],[-92.763908,45.204866],[-92.767408,45.190166],[-92.764872,45.182812],[-92.752404,45.173916],[-92.757707,45.155466],[-92.739584,45.115598],[-92.744938,45.108309],[-92.791528,45.079647],[-92.803079,45.060978],[-92.793282,45.047178],[-92.770362,45.033803],[-92.76206,45.02432],[-92.771231,45.001378],[-92.769445,44.97215],[-92.754603,44.955767],[-92.750645,44.937299],[-92.758701,44.908979],[-92.774571,44.898084],[-92.773946,44.889997],[-92.764133,44.875905],[-92.769102,44.862167],[-92.765278,44.837186],[-92.78043,44.812589],[-92.785206,44.792303],[-92.805287,44.768361],[-92.807988,44.75147],[-92.787906,44.737432],[-92.737259,44.717155],[-92.700948,44.693751],[-92.660988,44.660884],[-92.632105,44.649027],[-92.619779,44.634195],[-92.621456,44.615017],[-92.601516,44.612052],[-92.586216,44.600088],[-92.569434,44.603539],[-92.549777,44.58113],[-92.549957,44.568988],[-92.540551,44.567258],[-92.518358,44.575183],[-92.493808,44.566063],[-92.481001,44.568276],[-92.455105,44.561886],[-92.433256,44.5655],[-92.399281,44.558292],[-92.361518,44.558935],[-92.336114,44.554004],[-92.314071,44.538014],[-92.302466,44.516487],[-92.302215,44.500298],[-92.291005,44.485464],[-92.232472,44.445434],[-92.195378,44.433792],[-92.124513,44.422115],[-92.111085,44.413948],[-92.078605,44.404869],[-92.056486,44.402729],[-92.038147,44.388731],[-91.970266,44.365842],[-91.941311,44.340978],[-91.92559,44.333548],[-91.918625,44.322671],[-91.913534,44.311392],[-91.924613,44.291815],[-91.896388,44.27469],[-91.896008,44.262871],[-91.88704,44.251772],[-91.892698,44.231105],[-91.877429,44.212921],[-91.872369,44.199167],[-91.829167,44.17835],[-91.808064,44.159262],[-91.751747,44.134786],[-91.721552,44.130342],[-91.710597,44.12048],[-91.708207,44.105186],[-91.69531,44.09857],[-91.68153,44.0974],[-91.667006,44.086964],[-91.647873,44.064109],[-91.638115,44.063285],[-91.610487,44.04931],[-91.59207,44.031372],[-91.507121,44.01898],[-91.48087,44.008145],[-91.463515,44.009041],[-91.432522,43.996827],[-91.407395,43.965148],[-91.385785,43.954239],[-91.366642,43.937463],[-91.357426,43.917231],[-91.347741,43.911964],[-91.338141,43.897664],[-91.320605,43.888491],[-91.310991,43.867381],[-91.284138,43.847065],[-91.262436,43.792166],[-91.244135,43.774667],[-91.255431,43.744876],[-91.255932,43.729849],[-91.268455,43.709824],[-91.273252,43.666623],[-91.271749,43.654929],[-91.262397,43.64176],[-91.268748,43.615348],[-91.232707,43.583533],[-91.232812,43.564842],[-91.243214,43.550722],[-91.243183,43.540309],[-91.232941,43.523967],[-91.218292,43.514434],[-91.217706,43.50055],[-96.453049,43.500415],[-96.453067,45.298115],[-96.489065,45.357071],[-96.521787,45.375645],[-96.562142,45.38609],[-96.617726,45.408092],[-96.680454,45.410499],[-96.692541,45.417338],[-96.731396,45.45702],[-96.76528,45.521414],[-96.857751,45.605962],[-96.844211,45.639583],[-96.835769,45.649648],[-96.760866,45.687518],[-96.745086,45.701576],[-96.662595,45.738682],[-96.641941,45.759871],[-96.627778,45.786239],[-96.583085,45.820024],[-96.574517,45.843098],[-96.561334,45.945655],[-96.57035,45.963595],[-96.57794,46.026874],[-96.559271,46.058272],[-96.554507,46.083978],[-96.557952,46.102442],[-96.56692,46.11475],[-96.563043,46.119512],[-96.571439,46.12572],[-96.56926,46.133686],[-96.579453,46.147601],[-96.577952,46.165843],[-96.587408,46.178164],[-96.584372,46.204155],[-96.59755,46.227733],[-96.598645,46.241626],[-96.590942,46.250183],[-96.59887,46.26069],[-96.595014,46.275135],[-96.60136,46.30413],[-96.599761,46.330386],[-96.619991,46.340135],[-96.618147,46.344295],[-96.629211,46.352654],[-96.644335,46.351908],[-96.646341,46.360982],[-96.655206,46.365964],[-96.658436,46.373391],[-96.666028,46.374566],[-96.669132,46.390037],[-96.680687,46.407383],[-96.688082,46.40788],[-96.701358,46.420584],[-96.703078,46.429467],[-96.718074,46.438255],[-96.715557,46.463232],[-96.73627,46.48138],[-96.737798,46.489785],[-96.733612,46.497224],[-96.737702,46.50077],[-96.738475,46.525793],[-96.744341,46.533006],[-96.743003,46.54294],[-96.74883,46.558127],[-96.744436,46.56596],[-96.746442,46.574078],[-96.772446,46.600129],[-96.774094,46.613288],[-96.78995,46.631531],[-96.790663,46.649112],[-96.798823,46.658071],[-96.792958,46.677427],[-96.784339,46.685054],[-96.790906,46.70297],[-96.779252,46.727429],[-96.784279,46.732993],[-96.781216,46.740944],[-96.787466,46.756753],[-96.784314,46.766973],[-96.796195,46.789881],[-96.795756,46.807795],[-96.801446,46.810401],[-96.80016,46.819664],[-96.787657,46.827817],[-96.789663,46.832306],[-96.779347,46.843672],[-96.781358,46.879363],[-96.768458,46.879563],[-96.767358,46.883663],[-96.773558,46.884763],[-96.776558,46.895663],[-96.759241,46.918223],[-96.761757,46.934663],[-96.78312,46.925482],[-96.79038,46.929398],[-96.791558,46.944464],[-96.797734,46.9464],[-96.798737,46.962399],[-96.821852,46.969372],[-96.82318,46.999965],[-96.834221,47.006671],[-96.829499,47.021537],[-96.818557,47.02778],[-96.821422,47.032842],[-96.819321,47.0529],[-96.824479,47.059682],[-96.818175,47.104193],[-96.827344,47.120144],[-96.824807,47.124968],[-96.831547,47.142017],[-96.822377,47.162744],[-96.829637,47.17497],[-96.826962,47.182802],[-96.838806,47.197894],[-96.832789,47.203911],[-96.838806,47.22502],[-96.832946,47.237588],[-96.83766,47.240876],[-96.835368,47.250428],[-96.841672,47.258164],[-96.838997,47.267716],[-96.842531,47.269531],[-96.844088,47.289981],[-96.832884,47.30449],[-96.841958,47.316907],[-96.835845,47.321014],[-96.835845,47.335914],[-96.852417,47.366241],[-96.848907,47.370565],[-96.852676,47.374973],[-96.846925,47.376891],[-96.840621,47.389881],[-96.845492,47.394179],[-96.844919,47.399815],[-96.863593,47.418775],[-96.85748,47.440457],[-96.859868,47.470926],[-96.85471,47.478281],[-96.85853,47.489934],[-96.851653,47.497098],[-96.851367,47.509037],[-96.866363,47.524893],[-96.85471,47.535973],[-96.859153,47.566355],[-96.853689,47.570381],[-96.856373,47.575749],[-96.851293,47.589264],[-96.856903,47.602329],[-96.855421,47.60875],[-96.873671,47.613654],[-96.871005,47.616832],[-96.879496,47.620576],[-96.882393,47.633489],[-96.888573,47.63845],[-96.882376,47.649025],[-96.88697,47.653049],[-96.887126,47.666369],[-96.895271,47.67357],[-96.899352,47.689473],[-96.908928,47.688722],[-96.907266,47.693976],[-96.920119,47.710383],[-96.923544,47.718201],[-96.919471,47.722515],[-96.932809,47.737139],[-96.928505,47.748037],[-96.934173,47.752412],[-96.939179,47.768397],[-96.9644,47.782995],[-96.957283,47.790147],[-96.966068,47.797297],[-96.975131,47.798326],[-96.980579,47.805614],[-96.979327,47.824533],[-96.986685,47.837639],[-96.998295,47.841724],[-96.998144,47.858882],[-97.005557,47.863977],[-97.002456,47.868677],[-97.023156,47.874978],[-97.019355,47.880278],[-97.024955,47.886878],[-97.019155,47.889778],[-97.024955,47.894978],[-97.020155,47.900478],[-97.024955,47.908178],[-97.017254,47.905678],[-97.015354,47.910278],[-97.023754,47.915878],[-97.018054,47.918078],[-97.035754,47.930179],[-97.036054,47.939379],[-97.054554,47.946279],[-97.052454,47.957179],[-97.061454,47.96358],[-97.053553,47.991612],[-97.064289,47.998508],[-97.066762,48.009558],[-97.063012,48.013179],[-97.072239,48.019107],[-97.068987,48.026267],[-97.072257,48.048068],[-97.097772,48.07108],[-97.103052,48.071669],[-97.099431,48.082106],[-97.105226,48.09044],[-97.104872,48.097851],[-97.109535,48.104723],[-97.123205,48.106648],[-97.120702,48.114987],[-97.131956,48.139563],[-97.141401,48.14359],[-97.138911,48.157793],[-97.146745,48.168556],[-97.141474,48.179099],[-97.146233,48.186054],[-97.134372,48.210434],[-97.136304,48.228984],[-97.141254,48.234668],[-97.135763,48.237596],[-97.138765,48.244991],[-97.127276,48.253323],[-97.131846,48.267589],[-97.11657,48.279661],[-97.12216,48.290056],[-97.128862,48.292882],[-97.122072,48.300865],[-97.132443,48.315489],[-97.127601,48.323319],[-97.134854,48.331314],[-97.131145,48.339722],[-97.147748,48.359905],[-97.140106,48.380479],[-97.145592,48.394195],[-97.135012,48.406735],[-97.142849,48.419471],[-97.1356,48.424369],[-97.139173,48.430528],[-97.134229,48.439797],[-97.137689,48.447583],[-97.132746,48.459942],[-97.144116,48.469212],[-97.141397,48.476256],[-97.144981,48.481571],[-97.140291,48.484722],[-97.138864,48.494362],[-97.148133,48.503384],[-97.153076,48.524148],[-97.150481,48.536877],[-97.163105,48.543855],[-97.160863,48.549236],[-97.152459,48.552326],[-97.158638,48.564067],[-97.149616,48.569876],[-97.14974,48.579516],[-97.142915,48.583733],[-97.143684,48.597066],[-97.137504,48.612268],[-97.132931,48.61338],[-97.130089,48.621166],[-97.125639,48.620919],[-97.125269,48.629694],[-97.108466,48.632658],[-97.111921,48.642918],[-97.100551,48.658614],[-97.102652,48.664793],[-97.097708,48.68395],[-97.118286,48.700573],[-97.116185,48.709348],[-97.136083,48.727763],[-97.139488,48.746611],[-97.151289,48.757428],[-97.147478,48.763698],[-97.154854,48.774515],[-97.157093,48.790024],[-97.163535,48.79507],[-97.165624,48.809627],[-97.180028,48.81845],[-97.177747,48.824815],[-97.181116,48.832741],[-97.173811,48.838309],[-97.175618,48.853105],[-97.187362,48.867598],[-97.185738,48.87222],[-97.197982,48.880341],[-97.197982,48.898332],[-97.210541,48.90439],[-97.211161,48.916649],[-97.217992,48.919735],[-97.218666,48.931781],[-97.224505,48.9341],[-97.232147,48.948955],[-97.230859,48.960891],[-97.239209,48.968684],[-97.237297,48.985696],[-97.230833,48.991303],[-97.229039,49.000687],[-95.153711,48.998903],[-95.15335,49.383079],[-95.126467,49.369439],[-95.058404,49.35317],[-95.014415,49.356405],[-94.988908,49.368897],[-94.957465,49.370186],[-94.854245,49.324154],[-94.816222,49.320987],[-94.824291,49.308834],[-94.82516,49.294283],[-94.797244,49.214284],[-94.797527,49.197791],[-94.773223,49.120733],[-94.750221,49.099763],[-94.750218,48.999992],[-94.718932,48.999991],[-94.683069,48.883929],[-94.684217,48.872399],[-94.692527,48.86895],[-94.693044,48.853392],[-94.685681,48.840119],[-94.701968,48.831778],[-94.704284,48.824284],[-94.694974,48.809206],[-94.694312,48.789352],[-94.690889,48.778066],[-94.651765,48.755913],[-94.645164,48.749975],[-94.645083,48.744143],[-94.61901,48.737374],[-94.58715,48.717599],[-94.549069,48.714653],[-94.533057,48.701262],[-94.452332,48.692444],[-94.438701,48.694889],[-94.416191,48.710948],[-94.384221,48.711806],[-94.342758,48.703382],[-94.308446,48.710239],[-94.290737,48.707747],[-94.260541,48.696381],[-94.251169,48.683514],[-94.254643,48.663888],[-94.250497,48.656654],[-94.224276,48.649527],[-94.091244,48.643669],[-94.065775,48.646104],[-94.035616,48.641018],[-94.006933,48.643193],[-93.944221,48.632294],[-93.91153,48.634673],[-93.840754,48.628548],[-93.824144,48.610724],[-93.806763,48.577616],[-93.811201,48.542385],[-93.818253,48.530046],[-93.794454,48.516021],[-93.656652,48.515731],[-93.643091,48.518294],[-93.628865,48.53121],[-93.612844,48.521876],[-93.60587,48.522472],[-93.594379,48.528793],[-93.547191,48.528684],[-93.467504,48.545664],[-93.460798,48.550552],[-93.456675,48.561834],[-93.465199,48.590659],[-93.438494,48.59338],[-93.405269,48.609344],[-93.395022,48.603303],[-93.371156,48.605085],[-93.362132,48.613832],[-93.35324,48.613378],[-93.349095,48.624935],[-93.254854,48.642784],[-93.207398,48.642474],[-93.178095,48.623339],[-93.088438,48.627597],[-92.984963,48.623731],[-92.954876,48.631493],[-92.95012,48.630419],[-92.949839,48.608269],[-92.929614,48.606874],[-92.909947,48.596313],[-92.894687,48.594915],[-92.728046,48.53929],[-92.657881,48.546263],[-92.634931,48.542873],[-92.625739,48.518189],[-92.631117,48.508252],[-92.627237,48.503383],[-92.636696,48.499428],[-92.654039,48.501635],[-92.661418,48.496557],[-92.698824,48.494892],[-92.712562,48.463013],[-92.687998,48.443889],[-92.656027,48.436709],[-92.507285,48.447875],[-92.475585,48.418793],[-92.456325,48.414204],[-92.456389,48.401134],[-92.47675,48.37176],[-92.469948,48.351836],[-92.437825,48.309839],[-92.416285,48.295463],[-92.369174,48.220268],[-92.336831,48.235383],[-92.269742,48.248241],[-92.273706,48.256747],[-92.294541,48.27156],[-92.292999,48.276404],[-92.301451,48.288608],[-92.294527,48.306454],[-92.306309,48.316442],[-92.304561,48.322977],[-92.295412,48.323957],[-92.288994,48.342991],[-92.26228,48.354933],[-92.222813,48.349203],[-92.216983,48.345114],[-92.206803,48.345596],[-92.203684,48.352063],[-92.178418,48.351881],[-92.177354,48.357228],[-92.145049,48.365651],[-92.143583,48.356121],[-92.083513,48.353865],[-92.077961,48.358253],[-92.055228,48.359213],[-92.045734,48.347901],[-92.046562,48.33474],[-92.037721,48.333183],[-92.030872,48.325824],[-92.000133,48.321355],[-92.01298,48.297391],[-92.006577,48.265421],[-91.989545,48.260214],[-91.976903,48.244626],[-91.971056,48.247667],[-91.971779,48.252977],[-91.954432,48.251678],[-91.952209,48.244394],[-91.957683,48.242683],[-91.957798,48.232989],[-91.941838,48.230602],[-91.915772,48.238871],[-91.89347,48.237699],[-91.884691,48.227321],[-91.867882,48.219095],[-91.864382,48.207031],[-91.815772,48.211748],[-91.809038,48.206013],[-91.79181,48.202492],[-91.789011,48.196549],[-91.756637,48.205022],[-91.749075,48.198844],[-91.741932,48.199122],[-91.742313,48.204491],[-91.714931,48.19913],[-91.711611,48.1891],[-91.721413,48.180255],[-91.724584,48.170657],[-91.705318,48.170775],[-91.70726,48.153661],[-91.698174,48.141643],[-91.699981,48.13184],[-91.712226,48.116883],[-91.703524,48.113548],[-91.682845,48.122118],[-91.687623,48.111698],[-91.676876,48.107264],[-91.665208,48.107011],[-91.653261,48.114137],[-91.653571,48.109567],[-91.640175,48.096926],[-91.559272,48.108268],[-91.552962,48.103012],[-91.569746,48.093348],[-91.575471,48.066294],[-91.575672,48.048791],[-91.567254,48.043719],[-91.488646,48.068065],[-91.45033,48.068806],[-91.437582,48.049248],[-91.429642,48.048608],[-91.391128,48.057075],[-91.370872,48.06941],[-91.365143,48.066968],[-91.340159,48.073236],[-91.332589,48.069331],[-91.26638,48.078713],[-91.214428,48.10294],[-91.190461,48.124891],[-91.183207,48.122235],[-91.176181,48.125811],[-91.137733,48.14915],[-91.139402,48.154738],[-91.092258,48.173101],[-91.082731,48.180756],[-91.024208,48.190072],[-90.976955,48.219452],[-90.914971,48.230603],[-90.88548,48.245784],[-90.875107,48.237784],[-90.847352,48.244443],[-90.839176,48.239511],[-90.836313,48.176963],[-90.832589,48.173765],[-90.821115,48.184709],[-90.817698,48.179569],[-90.804207,48.177833],[-90.796596,48.159373],[-90.777917,48.163801],[-90.778031,48.148723],[-90.79797,48.136894],[-90.787305,48.134196],[-90.789919,48.129902],[-90.76911,48.116585],[-90.761555,48.100133],[-90.751608,48.090968],[-90.641596,48.103515],[-90.626886,48.111846],[-90.59146,48.117546],[-90.582217,48.123784],[-90.55929,48.121683],[-90.555845,48.117069],[-90.569763,48.106951],[-90.567482,48.101178],[-90.556838,48.096008],[-90.487077,48.099082],[-90.467712,48.108818],[-90.438449,48.098747],[-90.403219,48.105114],[-90.374542,48.090942],[-90.367658,48.094577],[-90.344234,48.094447],[-90.330052,48.102399],[-90.312386,48.1053],[-90.289337,48.098993],[-90.224692,48.108148],[-90.188679,48.107947],[-90.176605,48.112445],[-90.136191,48.112136],[-90.116259,48.104303],[-90.073873,48.101138],[-90.023595,48.084708],[-90.015057,48.067188],[-90.008446,48.068396],[-89.997852,48.057567],[-89.99305,48.028404],[-89.97718,48.023501],[-89.968255,48.014482],[-89.954605,48.011516],[-89.95059,48.015901],[-89.934489,48.015628],[-89.915341,47.994866],[-89.897414,47.987599],[-89.873286,47.985419],[-89.868153,47.989898],[-89.847571,47.992442],[-89.842568,48.001368],[-89.830385,48.000284],[-89.820483,48.014665],[-89.797744,48.014505],[-89.763967,48.022969],[-89.724048,48.018996],[-89.721038,48.017965],[-89.724044,48.013675],[-89.716114,48.016441],[-89.716417,48.010251],[-89.702528,48.006325],[-89.673798,48.01151],[-89.667128,48.007421],[-89.657051,48.009954],[-89.649057,48.003853],[-89.617867,48.010947],[-89.611678,48.017529],[-89.607821,48.006566],[-89.594749,48.004332],[-89.582117,47.996314],[-89.564288,48.00293],[-89.489226,48.014528],[-89.495344,48.002356],[-89.541521,47.992841],[-89.551555,47.987305],[-89.555015,47.974849],[-89.572315,47.967238],[-89.58823,47.9662],[-89.611412,47.980731],[-89.624559,47.983153],[-89.631825,47.980039],[-89.640129,47.96793],[-89.638285,47.954275],[-89.697619,47.941288],[-89.793539,47.891358],[-89.85396,47.873997],[-89.87158,47.874194],[-89.923649,47.862062],[-89.930844,47.857723],[-89.92752,47.850825],[-89.933899,47.84676],[-89.974296,47.830514],[-90.072025,47.811105],[-90.075559,47.803303],[-90.1168,47.79538],[-90.16079,47.792807],[-90.178755,47.786414],[-90.187636,47.77813],[-90.248794,47.772763],[-90.323446,47.753771],[-90.332686,47.746387],[-90.437712,47.731612],[-90.441912,47.726404],[-90.458365,47.7214],[-90.537105,47.703055],[-90.551291,47.690266],[-90.735927,47.624343],[-90.86827,47.5569],[-90.907494,47.532873],[-90.914247,47.522639],[-90.939072,47.514532],[-91.032945,47.458236],[-91.045646,47.456525],[-91.097569,47.413888],[-91.128131,47.399619],[-91.146958,47.381464],[-91.156513,47.378816],[-91.188772,47.340082],[-91.238658,47.304976],[-91.262512,47.27929],[-91.288478,47.26596],[-91.326019,47.238993],[-91.357803,47.206743],[-91.418805,47.172152],[-91.477351,47.125667],[-91.497902,47.122579],[-91.518793,47.108121],[-91.573817,47.089917],[-91.591508,47.068684],[-91.626824,47.049953],[-91.644564,47.026491],[-91.666477,47.014297],[-91.704649,47.005246],[-91.780675,46.945881],[-91.806851,46.933727],[-91.841349,46.925215],[-91.883238,46.905728],[-91.914984,46.883836],[-91.952985,46.867037],[-92.094089,46.787839],[-92.088289,46.773639],[-92.06449,46.745439],[-92.025789,46.710839],[-92.01529,46.706469],[-92.020289,46.704039],[-92.03399,46.708939],[-92.08949,46.74924],[-92.10819,46.74914],[-92.13789,46.73954],[-92.14329,46.73464],[-92.141291,46.72524],[-92.146291,46.71594],[-92.167291,46.719941],[-92.189091,46.717541],[-92.204691,46.704041]]]},\"properties\":{\"name\":\"Minnesota\",\"nation\":\"USA  \"}}]}","volume":"461-462","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"574d66abe4b07e28b668537f","contributors":{"authors":[{"text":"Writer, Jeffrey 0000-0002-8585-8166 jwriter@usgs.gov","orcid":"https://orcid.org/0000-0002-8585-8166","contributorId":169360,"corporation":false,"usgs":true,"family":"Writer","given":"Jeffrey","email":"jwriter@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":629438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrer, Imma","contributorId":169362,"corporation":false,"usgs":false,"family":"Ferrer","given":"Imma","email":"","affiliations":[{"id":25480,"text":"Univ of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":629440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","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":629439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurman, E. Michael","contributorId":9636,"corporation":false,"usgs":true,"family":"Thurman","given":"E.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":629546,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70150422,"text":"70150422 - 2013 - Frameworks for amending reservoir water management","interactions":[],"lastModifiedDate":"2015-06-24T14:47:31","indexId":"70150422","displayToPublicDate":"2013-09-01T00:00:00","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":"Frameworks for amending reservoir water management","docAbstract":"<p><span>Managing water storage and withdrawals in many reservoirs requires establishing seasonal targets for water levels (i.e., rule curves) that are influenced by regional precipitation and diverse water demands. Rule curves are established as an attempt to balance various water needs such as flood control, irrigation, and environmental benefits such as fish and wildlife management. The processes and challenges associated with amending rule curves to balance multiuse needs are complicated and mostly unfamiliar to non-US Army Corps of Engineers (USACE) natural resource managers and to the public. To inform natural resource managers and the public we describe the policies and process involved in amending rule curves in USACE reservoirs, including 3 frameworks: a general investigation, a continuing authority program, and the water control plan. Our review suggests that water management in reservoirs can be amended, but generally a multitude of constraints and competing demands must be addressed before such a change can be realized.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.829893","usgsCitation":"Mower, E., and Miranda, L.E., 2013, Frameworks for amending reservoir water management: Lake and Reservoir Management, v. 29, no. 3, p. 194-201, https://doi.org/10.1080/10402381.2013.829893.","productDescription":"8 p.","startPage":"194","endPage":"201","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041864","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558bd4b8e4b0b6d21dd65301","contributors":{"authors":[{"text":"Mower, Ethan","contributorId":143702,"corporation":false,"usgs":false,"family":"Mower","given":"Ethan","email":"","affiliations":[],"preferred":false,"id":556838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556836,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154965,"text":"70154965 - 2013 - Microhabitat selection, demography, and correlates of home range size for the King Rail (<i>Rallus elegans</i>)","interactions":[],"lastModifiedDate":"2015-07-22T10:42:54","indexId":"70154965","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Microhabitat selection, demography, and correlates of home range size for the King Rail (<i>Rallus elegans</i>)","docAbstract":"<p><span>Animal movements and habitat selection within the home range, or microhabitat selection, can provide insights into habitat requirements, such as foraging and area requirements. The King Rail (</span><i>Rallus elegans</i><span>) is a wetland bird of high conservation concern in the United States, but little is known about its movements, habitats, or demography. King Rails (</span><i>n</i><span>&nbsp;= 34) were captured during the 2010&ndash;2011 breeding seasons in the coastal marshes of southwest Louisiana and southeast Texas. Radio telemetry and direct habitat surveys of King Rail locations were conducted to estimate home ranges and microhabitat selection. Within home ranges, King Rails selected for greater plant species richness and comparatively greater coverage of&nbsp;</span><i>Phragmites australis</i><span>,&nbsp;</span><i>Typha</i><span>&nbsp;spp., and&nbsp;</span><i>Schoenoplectus robustus</i><span>. King Rails were found closer to open water compared to random locations placed 50 m from King Rail locations. Home ranges (</span><i>n</i><span>&nbsp;= 22) varied from 0.8&ndash;32.8 ha and differed greatly among sites. Home range size did not vary by year or sex; however, increased open water, with a maximum of 29% observed in the study, was correlated with smaller home ranges. Breeding season cumulative survivorship was 89% &plusmn; 22% in 2010 and 61% &plusmn; 43% in 2011, which coincided with a drought. With an equal search effort, King Rail chicks and juveniles observed in May-June decreased from 110 in 2010 to only 16 in the drier year of 2011. The findings show King Rail used marsh with &le; 29% open water and had smaller home ranges when open water was more abundant.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.036.0309","usgsCitation":"Pickens, B.A., and King, S.L., 2013, Microhabitat selection, demography, and correlates of home range size for the King Rail (<i>Rallus elegans</i>): Waterbirds, v. 36, no. 3, p. 319-329, https://doi.org/10.1675/063.036.0309.","productDescription":"11 p.","startPage":"319","endPage":"329","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041384","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":305885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Cameron Prairie National Wildlife Refuge; JD Murphree Wildlife Management Area; McFaddin National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.11187744140625,\n              29.864465259258\n            ],\n            [\n              -93.11187744140625,\n              29.973970240516614\n            ],\n            [\n              -92.98004150390625,\n              29.973970240516614\n            ],\n            [\n              -92.98004150390625,\n              29.864465259258\n            ],\n            [\n              -93.11187744140625,\n              29.864465259258\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.13154602050781,\n              29.82813541108161\n            ],\n            [\n              -94.13154602050781,\n              29.956719300555342\n            ],\n            [\n              -93.95027160644531,\n              29.956719300555342\n            ],\n            [\n              -93.95027160644531,\n              29.82813541108161\n            ],\n            [\n              -94.13154602050781,\n              29.82813541108161\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.48791503906249,\n              29.5232805008286\n            ],\n            [\n              -94.48791503906249,\n              29.740532166753606\n            ],\n            [\n              -94.16656494140625,\n              29.740532166753606\n            ],\n            [\n              -94.16656494140625,\n              29.5232805008286\n            ],\n            [\n              -94.48791503906249,\n              29.5232805008286\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b0beaee4b09a3b01b5309c","contributors":{"authors":[{"text":"Pickens, Bradley A.","contributorId":140926,"corporation":false,"usgs":false,"family":"Pickens","given":"Bradley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":565295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564416,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70137560,"text":"70137560 - 2013 - Ultimate pier and contraction scour prediction in cohesive soils at selected bridges in Illinois","interactions":[],"lastModifiedDate":"2015-06-05T15:06:17","indexId":"70137560","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":3875,"text":"Illinois Center for Transportation Series","active":true,"publicationSubtype":{"id":10}},"seriesNumber":"FHWA‐ICT‐13‐025","title":"Ultimate pier and contraction scour prediction in cohesive soils at selected bridges in Illinois","docAbstract":"<p><span>The Scour Rate In COhesive Soils-Erosion Function Apparatus (SRICOS-EFA) method includes an ultimate scour prediction that is the equilibrium maximum pier and contraction scour of cohesive soils over time. The purpose of this report is to present the results of testing the ultimate pier and contraction scour methods for cohesive soils on 30 bridge sites in Illinois. Comparison of the ultimate cohesive and noncohesive methods, along with the Illinois Department of Transportation (IDOT) cohesive soil reduction-factor method and measured scour are presented. Also, results of the comparison of historic IDOT laboratory and field values of unconfined compressive strength of soils (Qu) are presented. The unconfined compressive strength is used in both ultimate cohesive and reduction-factor methods, and knowing how the values from field methods compare to the laboratory methods is critical to the informed application of the methods. On average, the non-cohesive method results predict the highest amount of scour, followed by the reduction-factor method results; and the ultimate cohesive method results predict the lowest amount of scour. The 100-year scour predicted for the ultimate cohesive, noncohesive, and reduction-factor methods for each bridge site and soil are always larger than observed scour in this study, except 12% of predicted values that are all within 0.4 ft of the observed scour. The ultimate cohesive scour prediction is smaller than the non-cohesive scour prediction method for 78% of bridge sites and soils. Seventy-six percent of the ultimate cohesive predictions show a 45% or greater reduction from the non-cohesive predictions that are over 10 ft. Comparing the ultimate cohesive and reduction-factor 100-year scour predictions methods for each bridge site and soil, the scour predicted by the ultimate cohesive scour prediction method is less than the reduction-factor 100-year scour prediction method for 51% of bridge sites and soils. Critical shear stress remains a needed parameter in the ultimate scour prediction for cohesive soils. The unconfined soil compressive strength measured by IDOT in the laboratory was found to provide a good prediction of critical shear stress, as measured by using the erosion function apparatus in a previous study. Because laboratory Qu analyses are time-consuming and expensive, the ability of field-measured Rimac data to estimate unconfined soil strength in the critical shear&ndash;soil strength relation was tested. A regression analysis was completed using a historic IDOT dataset containing 366 data pairs of laboratory Qu and field Rimac measurements from common sites with cohesive soils. The resulting equations provide a point prediction of Qu, given any Rimac value with the 90% confidence interval. The prediction equations are not significantly different from the identity Qu = Rimac. The alternative predictions of ultimate cohesive scour presented in this study assume Qu will be estimated using Rimac measurements that include computed uncertainty. In particular, the ultimate cohesive predicted scour is greater than observed scour for the entire 90% confidence interval range for predicting Qu at the bridges and soils used in this study, with the exception of the six predicted values that are all within 0.6 ft of the observed scour.</span></p>","language":"English","publisher":"Illinois Center for Transportation","usgsCitation":"Straub, T., Over, T.M., and Domanski, M.M., 2013, Ultimate pier and contraction scour prediction in cohesive soils at selected bridges in Illinois: Illinois Center for Transportation Series FHWA‐ICT‐13‐025, iii, 40 p.","productDescription":"iii, 40 p.","numberOfPages":"49","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040456","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":298770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297093,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/2142/45749"}],"country":"United States","state":"Illinois","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.11560058593749,\n              36.98939086733937\n            ],\n            [\n              -89.1595458984375,\n              37.055177106660814\n            ],\n            [\n              -88.9617919921875,\n              37.23032838760387\n            ],\n            [\n              -88.5223388671875,\n              37.077093191754436\n            ],\n            [\n              -88.41796875,\n              37.16907157713011\n            ],\n            [\n              -88.505859375,\n              37.278423856453706\n            ],\n            [\n              -88.4344482421875,\n              37.41816326969145\n            ],\n            [\n              -88.0718994140625,\n              37.47921744485059\n            ],\n            [\n              -88.14880371093749,\n              37.644684587165884\n            ],\n            [\n              -87.9345703125,\n              38.272688535980976\n            ],\n            [\n              -87.835693359375,\n              38.28993659801203\n            ],\n            [\n              -87.4896240234375,\n              38.77121637244273\n            ],\n            [\n              -87.5994873046875,\n              39.317300373271024\n            ],\n            [\n              -87.5225830078125,\n              39.36827914916014\n            ],\n            [\n              -87.5225830078125,\n              41.75492216766298\n            ],\n            [\n              -87.6104736328125,\n              41.86137915587359\n            ],\n            [\n              -87.659912109375,\n              42.07376224008719\n            ],\n            [\n              -87.791748046875,\n              42.18375873465217\n            ],\n            [\n              -87.82470703125,\n              42.285437007491545\n            ],\n            [\n              -87.7972412109375,\n              42.500453028125584\n            ],\n            [\n              -90.63720703125,\n              42.512601715736665\n            ],\n            [\n              -90.65093994140625,\n              42.48526384858916\n            ],\n            [\n              -90.55618286132812,\n              42.43460661010741\n            ],\n            [\n              -90.55206298828125,\n              42.416359972082866\n            ],\n            [\n              -90.40924072265625,\n              42.32606244456202\n            ],\n            [\n              -90.43258666992188,\n              42.2783248607369\n            ],\n            [\n              -90.37765502929688,\n              42.21224516288584\n            ],\n            [\n              -90.16204833984375,\n              42.119617324466994\n            ],\n            [\n              -90.16204833984375,\n              41.898188430430444\n            ],\n            [\n              -90.31036376953125,\n              41.740577910570785\n            ],\n            [\n              -90.34881591796875,\n              41.582579601430346\n            ],\n            [\n              -90.60150146484375,\n              41.50652046891492\n            ],\n            [\n              -90.65093994140625,\n              41.46125371076149\n            ],\n            [\n              -90.93658447265625,\n              41.430371882652814\n            ],\n            [\n              -91.02447509765625,\n              41.43243112846178\n            ],\n            [\n              -91.11236572265625,\n              41.253032440653186\n            ],\n            [\n              -90.98876953125,\n              41.14970617453726\n            ],\n            [\n              -90.9503173828125,\n              40.944639085793064\n            ],\n            [\n              -91.0986328125,\n              40.80757278825516\n            ],\n            [\n              -91.12335205078125,\n              40.66813955408042\n            ],\n            [\n              -91.34582519531249,\n              40.61603737424185\n            ],\n            [\n              -91.39801025390625,\n              40.5534610833091\n            ],\n            [\n              -91.37054443359375,\n              40.39258071969131\n            ],\n            [\n              -91.4556884765625,\n              40.35910267579199\n            ],\n            [\n              -91.50238037109375,\n              40.19356109815612\n            ],\n            [\n              -91.50238037109375,\n              40.03812939078128\n            ],\n            [\n              -91.41448974609375,\n              39.93290692296977\n            ],\n            [\n              -91.44195556640625,\n              39.87812720644829\n            ],\n            [\n              -91.351318359375,\n              39.71775084250469\n            ],\n            [\n              -91.0821533203125,\n              39.52946653645165\n            ],\n            [\n              -91.05743408203124,\n              39.46164364205549\n            ],\n            [\n              -90.7305908203125,\n              39.251397769004924\n            ],\n            [\n              -90.670166015625,\n              38.965815660189016\n            ],\n            [\n              -90.60150146484375,\n              38.87606680031536\n            ],\n            [\n              -90.53558349609375,\n              38.8824811975508\n            ],\n            [\n              -90.45867919921875,\n              38.96368010198575\n            ],\n            [\n              -90.23071289062499,\n              38.91668153637508\n            ],\n            [\n              -90.10986328125,\n              38.831149809348744\n            ],\n            [\n              -90.208740234375,\n              38.70908932739828\n            ],\n            [\n              -90.17578124999999,\n              38.634036452919226\n            ],\n            [\n              -90.34881591796875,\n              38.371808917147554\n            ],\n            [\n              -90.362548828125,\n              38.229550455326134\n            ],\n            [\n              -90.2032470703125,\n              38.08052761936274\n            ],\n            [\n              -89.97802734375,\n              37.965854128749434\n            ],\n            [\n              -89.92034912109375,\n              37.965854128749434\n            ],\n            [\n              -89.51934814453125,\n              37.68599392939966\n            ],\n            [\n              -89.4287109375,\n              37.36797435878155\n            ],\n            [\n              -89.50561523437499,\n              37.32867264506217\n            ],\n            [\n              -89.49462890625,\n              37.26312408340919\n            ],\n            [\n              -89.461669921875,\n              37.23907530202184\n            ],\n            [\n              -89.37652587890625,\n              37.048601046408976\n            ],\n            [\n              -89.27764892578125,\n              36.99377838872517\n            ],\n            [\n              -89.26116943359375,\n              37.017905231730914\n            ],\n            [\n              -89.11560058593749,\n              36.98939086733937\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550bf33be4b02e76d759ce0c","contributors":{"authors":[{"text":"Straub, Timothy D. 0000-0002-5896-0851 tdstraub@usgs.gov","orcid":"https://orcid.org/0000-0002-5896-0851","contributorId":2273,"corporation":false,"usgs":true,"family":"Straub","given":"Timothy D.","email":"tdstraub@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":537903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Over, Thomas M. 0000-0001-8280-4368 tmover@usgs.gov","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":1819,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"tmover@usgs.gov","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Domanski, Marian M. 0000-0002-0468-314X mdomanski@usgs.gov","orcid":"https://orcid.org/0000-0002-0468-314X","contributorId":5035,"corporation":false,"usgs":true,"family":"Domanski","given":"Marian","email":"mdomanski@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":537905,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70143408,"text":"70143408 - 2013 - Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America","interactions":[],"lastModifiedDate":"2015-03-19T09:18:56","indexId":"70143408","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America","docAbstract":"<p><span>Extreme weather continues to preoccupy society as a formidable public safety concern bearing huge economic costs. While attention has focused on global climate change and how it could intensify key elements of the water cycle such as precipitation and river discharge, it is the conjunction of geophysical and socioeconomic forces that shapes human sensitivity and risks to weather extremes. We demonstrate here the use of high-resolution geophysical and population datasets together with documentary reports of rainfall-induced damage across South America over a multi-decadal, retrospective time domain (1960&ndash;2000). We define and map extreme precipitation&nbsp;</span><i>hazard</i><span>,&nbsp;</span><i>exposure</i><span>,&nbsp;</span><i>affected</i><span>populations,&nbsp;</span><i>vulnerability</i><span>&nbsp;and&nbsp;</span><i>risk</i><span>, and use these variables to analyse the impact of floods as a water security issue. Geospatial experiments uncover major sources of risk from natural climate variability and population growth, with change in climate extremes bearing a minor role. While rural populations display greatest relative sensitivity to extreme rainfall, urban settings show the highest rates of increasing risk. In the coming decades, rapid urbanization will make South American cities the focal point of future climate threats but also an opportunity for reducing vulnerability, protecting lives and sustaining economic development through both traditional and ecosystem-based disaster risk management systems.</span></p>","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsta.2012.0408","usgsCitation":"Vorosmarty, C.J., de Guenni, L.B., Wollheim, W.M., Pellerin, B.A., Bjerklie, D.M., Cardoso, M., D’Almeida, C., and Colon, L., 2013, Extreme rainfall, vulnerability and risk: a continental-scale assessment for South America: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, no. 371, 17 p., https://doi.org/10.1098/rsta.2012.0408.","productDescription":"17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043036","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":298738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.84765625,\n              -55.27911529201562\n            ],\n            [\n              -83.84765625,\n              13.581920900545844\n            ],\n            [\n              -34.62890625,\n              13.581920900545844\n            ],\n            [\n              -34.62890625,\n              -55.27911529201562\n            ],\n            [\n              -83.84765625,\n              -55.27911529201562\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"371","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-13","publicationStatus":"PW","scienceBaseUri":"550bf32fe4b02e76d759cdea","contributors":{"authors":[{"text":"Vorosmarty, Charles J.","contributorId":139738,"corporation":false,"usgs":false,"family":"Vorosmarty","given":"Charles","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Guenni, Lelys Bravo","contributorId":139740,"corporation":false,"usgs":false,"family":"de Guenni","given":"Lelys","email":"","middleInitial":"Bravo","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wollheim, Wilfred M.","contributorId":139742,"corporation":false,"usgs":false,"family":"Wollheim","given":"Wilfred","email":"","middleInitial":"M.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":542718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pellerin, Brian A. bpeller@usgs.gov","contributorId":1451,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian","email":"bpeller@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bjerklie, David M. 0000-0002-9890-4125 dmbjerkl@usgs.gov","orcid":"https://orcid.org/0000-0002-9890-4125","contributorId":3589,"corporation":false,"usgs":true,"family":"Bjerklie","given":"David","email":"dmbjerkl@usgs.gov","middleInitial":"M.","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cardoso, Manoel","contributorId":139741,"corporation":false,"usgs":false,"family":"Cardoso","given":"Manoel","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":542717,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"D’Almeida, Cassiano","contributorId":139743,"corporation":false,"usgs":false,"family":"D’Almeida","given":"Cassiano","email":"","affiliations":[{"id":12900,"text":"National Council for Scientific and Technological Development (CNPq)","active":true,"usgs":false}],"preferred":false,"id":542719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Colon, Lilybeth","contributorId":139744,"corporation":false,"usgs":false,"family":"Colon","given":"Lilybeth","email":"","affiliations":[{"id":12901,"text":"City College of New York, Civil Engineering","active":true,"usgs":false}],"preferred":false,"id":542720,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70189243,"text":"70189243 - 2013 - U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada","interactions":[],"lastModifiedDate":"2017-07-06T12:33:05","indexId":"70189243","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada","docAbstract":"<p id=\"sp0005\">As part of the Geologic Waste Management Facility feasibility study, Atomic Energy of Canada Ltd. (AECL) is evaluating the suitability of the Chalk River Laboratories (CRL) site in Ontario, situated in crystalline rock of the southwestern Grenville Province, for the possible development of an underground repository for low- and intermediate-level nuclear waste. This paper presents petrographic and trace element analyses, U–Pb zircon dating results, and Rb–Sr, U–Pb and U-series isotopic analyses of gneissic drill core samples from the deep CRG-series characterization boreholes at the CRL site. The main rock types intersected in the boreholes include hornblende–biotite (±pyroxene) gneisses of granitic to granodioritic composition, leucocratic granitic gneisses with sparse mafic minerals, and garnet-bearing gneisses with variable amounts of biotite and/or hornblende. The trace element data for whole-rock samples plot in the fields of within-plate, syn-collision, and volcanic arc-type granites in discrimination diagrams used for the tectonic interpretation of granitic rocks.</p><p id=\"sp0010\">Zircons separated from biotite gneiss and metagranite samples yielded SHRIMP-RG U–Pb ages of 1472&nbsp;±&nbsp;14 (2<i>σ</i>) and 1045&nbsp;±&nbsp;6&nbsp;Ma, respectively, in very good agreement with widespread Early Mesoproterozoic plutonic ages and Ottawan orogeny ages in the Central Gneiss Belt. The Rb–Sr, U–Pb, and Pb–Pb whole-rock errorchron apparent ages of most of the CRL gneiss samples are consistent with zircon U–Pb age and do not indicate substantial large-scale preferential element mobility during superimposed metamorphic and water/rock interaction processes. This may confirm the integrity of the rock mass, which is a positive attribute for a potential nuclear waste repository. Most<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U activity ratios (AR) in whole rock samples are within errors of the secular equilibrium value of one, indicating that the rocks have not experienced any appreciable U loss or gain within the past 1&nbsp;Ma. However,<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U AR in fracture mineral samples collected down to borehole lengths of about 740&nbsp;m deviate from the secular equilibrium value and<span>&nbsp;</span><sup>234</sup>U/<sup>238</sup>U model ages calculated for fracture mineral samples showing excess<span>&nbsp;</span><sup>234</sup>U range from 593 to 1415&nbsp;ka, thus providing evidence of fracture flow in the associated bedrock during the past 1.5&nbsp;Ma. Rare earth element patterns are variable in fracture-filling calcites and Fe oxides/hydroxides but are similar to those observed in associated whole-rock samples. The observed Ce anomalies are very small (<span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math class=&quot;math&quot; xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>Ce</mtext></mrow><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>N</mtext></mrow></msub><mo is=&quot;true&quot;>/</mo><msubsup is=&quot;true&quot;><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>Ce</mtext></mrow><mrow is=&quot;true&quot;><mtext is=&quot;true&quot;>N</mtext></mrow><mrow is=&quot;true&quot;><mo is=&quot;true&quot;>&amp;#x2217;</mo></mrow></msubsup><mo is=&quot;true&quot;>&amp;#x2248;</mo><mn is=&quot;true&quot;>1</mn></mrow></math>\"><span class=\"MJX_Assistive_MathML\">CeN/CeN∗≈1</span></span>), do not vary with depth, and, therefore, do not contain evidence that the studied fracture minerals precipitated from oxidizing waters at the conceptual depth of a repository.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2013.06.004","usgsCitation":"Neymark, L., Peterman, Z., Moscati, R.J., and Thivierge, R.H., 2013, U–Pb, Rb–Sr, and U-series isotope geochemistry of rocks and fracture minerals from the Chalk River Laboratories site, Grenville Province, Ontario, Canada: Applied Geochemistry, v. 36, p. 10-33, https://doi.org/10.1016/j.apgeochem.2013.06.004.","productDescription":"24 p.","startPage":"10","endPage":"33","ipdsId":"IP-038522","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":343404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Grenville Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.45223999023436,\n              46.02700510334968\n            ],\n            [\n              -77.35816955566406,\n              46.02700510334968\n            ],\n            [\n              -77.35816955566406,\n              46.087043114904986\n            ],\n            [\n              -77.45223999023436,\n              46.087043114904986\n            ],\n            [\n              -77.45223999023436,\n              46.02700510334968\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c43e4b0d1f9f057e366","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterman, Zell E. 0000-0002-5694-8082 peterman@usgs.gov","orcid":"https://orcid.org/0000-0002-5694-8082","contributorId":620,"corporation":false,"usgs":true,"family":"Peterman","given":"Zell E.","email":"peterman@usgs.gov","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":703698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":703699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thivierge, R. H.","contributorId":194312,"corporation":false,"usgs":false,"family":"Thivierge","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":703700,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189900,"text":"70189900 - 2013 - Temporal and spatial variability of global water balance","interactions":[],"lastModifiedDate":"2017-09-20T15:01:20","indexId":"70189900","displayToPublicDate":"2013-09-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial variability of global water balance","docAbstract":"<p><span>An analysis of simulated global water-balance components (precipitation [P], actual evapotranspiration [AET], runoff [R], and potential evapotranspiration [PET]) for the past century indicates that P has been the primary driver of variability in R. Additionally, since about 2000, there have been increases in P, AET, R, and PET for most of the globe. The increases in R during 2000 through 2009 have occurred despite unprecedented increases in PET. The increases in R are the result of substantial increases in P during the cool Northern Hemisphere months (i.e. October through March) when PET increases were relatively small; the largest PET increases occurred during the warm Northern Hemisphere months (April through September). Additionally, for the 2000 through 2009 period, the latitudinal distribution of P departures appears to co-vary with the mean P departures from 16 climate model projections of the latitudinal response of P to warming, except in the high latitudes. Finally, changes in water-balance variables appear large from the perspective of departures from the long-term means. However, when put into the context of the magnitudes of the raw water balance variable values, there appears to have been little change in any of the water-balance variables over the past century on a global or hemispheric scale.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-013-0798-0","usgsCitation":"McCabe, G., and Wolock, D.M., 2013, Temporal and spatial variability of global water balance: Climatic Change, v. 120, no. 1-2, p. 375-387, https://doi.org/10.1007/s10584-013-0798-0.","productDescription":"13 p.","startPage":"375","endPage":"387","ipdsId":"IP-045355","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"1-2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-06-05","publicationStatus":"PW","scienceBaseUri":"5980419ce4b0a38ca2789364","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":167116,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory J.","email":"gmccabe@usgs.gov","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":false,"id":706687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":706686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047945,"text":"70047945 - 2013 - Implications of multi-scale sea level and climate variability for coastal resources","interactions":[],"lastModifiedDate":"2013-08-30T16:16:40","indexId":"70047945","displayToPublicDate":"2013-08-30T16:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3242,"text":"Regional Environmental Change","active":true,"publicationSubtype":{"id":10}},"title":"Implications of multi-scale sea level and climate variability for coastal resources","docAbstract":"While secular changes in regional sea levels and their implications for coastal zone management have been studied extensively, less attention is being paid to natural fluctuations in sea levels, whose interaction with a higher mean level could have significant impacts on low-lying areas, such as wetlands. Here, the long record of sea level at Key West, FL is studied in terms of both the secular trend and the multi-scale sea level variations. This analysis is then used to explore implications for the Everglades National Park (ENP), which is recognized internationally for its ecological significance, and is the site of the largest wetland restoration project in the world. Very shallow topographic gradients (3–6 cm per km) make the region susceptible to small changes in sea level. Observations of surface water levels from a monitoring network within ENP exhibit both the long-term trends and the interannual-to-(multi)decadal variability that are observed in the Key West record. Water levels recorded at four long-term monitoring stations within ENP exhibit increasing trends approximately equal to or larger than the long-term trend at Key West. Time- and frequency-domain analyses highlight the potential influence of climate mechanisms, such as the El Niño/Southern Oscillation and the North Atlantic Oscillation (NAO), on Key West sea levels and marsh water levels, and the potential modulation of their influence by the background state of the North Atlantic Sea Surface Temperatures. In particular, the Key West sea levels are found to be positively correlated with the NAO index, while the two series exhibit high spectral power during the transition to a cold Atlantic Multidecadal Oscillation (AMO). The correlation between the Key West sea levels and the NINO3 Index reverses its sign in coincidence with a reversal of the AMO phase. Water levels in ENP are also influenced by precipitation and freshwater releases from the northern boundary of the Park. The analysis of both climate variability and climate change in such wetlands is needed to inform management practices in coastal wetland zones around the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Regional Environmental Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s10113-013-0408-8","usgsCitation":"Karamperidou, C., Engel, V., Lall, U., Stabenau, E., and Smith, T.J., 2013, Implications of multi-scale sea level and climate variability for coastal resources: Regional Environmental Change, v. 13, no. 1, p. 91-100, https://doi.org/10.1007/s10113-013-0408-8.","productDescription":"10 p.","startPage":"91","endPage":"100","ipdsId":"IP-030832","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":277223,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":277222,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10113-013-0408-8"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-01","publicationStatus":"PW","scienceBaseUri":"5221b0e8e4b001cbb8a34e97","contributors":{"authors":[{"text":"Karamperidou, Christina","contributorId":37630,"corporation":false,"usgs":true,"family":"Karamperidou","given":"Christina","email":"","affiliations":[],"preferred":false,"id":483356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Victor 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":45153,"corporation":false,"usgs":true,"family":"Engel","given":"Victor","affiliations":[],"preferred":false,"id":483357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lall, Upmanu","contributorId":101172,"corporation":false,"usgs":true,"family":"Lall","given":"Upmanu","affiliations":[],"preferred":false,"id":483358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stabenau, Erik","contributorId":106784,"corporation":false,"usgs":true,"family":"Stabenau","given":"Erik","email":"","affiliations":[],"preferred":false,"id":483359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Thomas J. III tom_j_smith@usgs.gov","contributorId":1615,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","suffix":"III","email":"tom_j_smith@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":483355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188508,"text":"70188508 - 2013 - Reconstructing vegetation response to altered hydrology and its use for restoration, Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida","interactions":[],"lastModifiedDate":"2017-06-23T16:23:12","indexId":"70188508","displayToPublicDate":"2013-08-30T00:00:00","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":"Reconstructing vegetation response to altered hydrology and its use for restoration, Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida","docAbstract":"<p><span>We present reconstructed hydrologic and vegetation trends of the last three centuries across the Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida in order to understand the effects of 20th century water management. We analyzed pollen assemblages from cores at marsh sites along three transects to document vegetation and infer hydroperiod and water depth both before and after human alteration of Everglades hydrology. In the northern and central part of the Refuge, late Holocene water levels were higher and hydroperiods longer than the last 100&nbsp;years. Post-1950 was a time of several different water management strategies. Pollen assemblages indicate drier conditions post-1950 in the northern and central parts of the Refuge, whereas sites in the southern Refuge are wetter and vegetation turnover is higher. Throughout the Refuge, </span><i class=\"EmphasisTypeItalic \">Sagittaria</i><span> pollen declines with the onset of water management, and may indicate a loss of greater variation in hydroperiods across years and water depths between seasons. Paleoecological evidence provides clear estimates of the vegetation response to hydrologic change under specific hydrologic regimes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0469-y","usgsCitation":"Bernhardt, C.E., Brandt, L.A., Landacre, B.D., Marot, M.E., and Willard, D.A., 2013, Reconstructing vegetation response to altered hydrology and its use for restoration, Arthur R. Marshall Loxahatchee National Wildlife Refuge, Florida: Wetlands, v. 33, no. 6, p. 1139-1149, https://doi.org/10.1007/s13157-013-0469-y.","productDescription":"11 p. ","startPage":"1139","endPage":"1149","ipdsId":"IP-045901","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Arthur R. Marshall Loxahatchee National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.46936035156249,\n              26.347575438494673\n            ],\n            [\n              -80.46936035156249,\n              26.701452590314368\n            ],\n            [\n              -80.16998291015625,\n              26.701452590314368\n            ],\n            [\n              -80.16998291015625,\n              26.347575438494673\n            ],\n            [\n              -80.46936035156249,\n              26.347575438494673\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-15","publicationStatus":"PW","scienceBaseUri":"59424b3ce4b0764e6c65dc65","contributors":{"authors":[{"text":"Bernhardt, Christopher E. 0000-0003-0082-4731 cbernhardt@usgs.gov","orcid":"https://orcid.org/0000-0003-0082-4731","contributorId":2131,"corporation":false,"usgs":true,"family":"Bernhardt","given":"Christopher","email":"cbernhardt@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":698080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":698082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landacre, Bryan D. 0000-0002-0523-360X blandacre@usgs.gov","orcid":"https://orcid.org/0000-0002-0523-360X","contributorId":2722,"corporation":false,"usgs":true,"family":"Landacre","given":"Bryan","email":"blandacre@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":698209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra A. 0000-0003-4878-0942 dwillard@usgs.gov","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":2076,"corporation":false,"usgs":true,"family":"Willard","given":"Debra","email":"dwillard@usgs.gov","middleInitial":"A.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":698081,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70003966,"text":"70003966 - 2013 - Three new <i>Psammothidium</i> species from lakes of Olympic and Cascade Mountains in Washington State, USA","interactions":[],"lastModifiedDate":"2014-01-14T14:00:58","indexId":"70003966","displayToPublicDate":"2013-08-29T13:51:16","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3081,"text":"Phytotaxa","active":true,"publicationSubtype":{"id":10}},"title":"Three new <i>Psammothidium</i> species from lakes of Olympic and Cascade Mountains in Washington State, USA","docAbstract":"Populations of several <i>Psammothidium</i> species were found in core sediments from nine remote, high elevation, ultraoligotrophic and oligotrophic, Olympic and Cascade Mountain lakes. Three of these species, <i>P. lacustre, P. alpinum</i>, and <i>P. nivale</i>, are described here as new. The morphology of the silica frustules of these species was documented using light and scanning electron microscopy. We discuss the similarities and differences with previously described <i>Psammothidium</i> species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Phytotaxa","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Magnolia Press","publisherLocation":"Auckland, New Zealand","doi":"10.11646/phytotaxa.127.1.8","usgsCitation":"Enache, M.D., Potapova, M., Sheibley, R., and Moran, P., 2013, Three new <i>Psammothidium</i> species from lakes of Olympic and Cascade Mountains in Washington State, USA: Phytotaxa, v. 127, no. 1, p. 49-57, https://doi.org/10.11646/phytotaxa.127.1.8.","productDescription":"9 p.","startPage":"49","endPage":"57","numberOfPages":"9","ipdsId":"IP-029109","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":473586,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.11646/phytotaxa.127.1.8","text":"Publisher Index Page"},{"id":281030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281028,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.11646/phytotaxa.127.1.8"}],"country":"United States","state":"Washington","otherGeospatial":"Cascade Mountains;Mt. Rainier National Park;North Cascades National Park;Olympic National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.7348,46.707817 ], [ -124.7348,49.0007 ], [ -120.6329,49.0007 ], [ -120.6329,46.707817 ], [ -124.7348,46.707817 ] ] ] } } ] }","volume":"127","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-08-29","publicationStatus":"PW","scienceBaseUri":"53cd78f5e4b0b2908510c832","contributors":{"authors":[{"text":"Enache, Mihaela D.","contributorId":12356,"corporation":false,"usgs":true,"family":"Enache","given":"Mihaela","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":349768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Potapova, Marina","contributorId":89274,"corporation":false,"usgs":true,"family":"Potapova","given":"Marina","email":"","affiliations":[],"preferred":false,"id":349771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheibley, Rich","contributorId":64995,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","affiliations":[],"preferred":false,"id":349770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, Patrick 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":14727,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":349769,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047892,"text":"70047892 - 2013 - Histopathological analysis of fish from Acorn Fork Creek, Kentucky exposed to hydraulic fracturing fluid releases","interactions":[],"lastModifiedDate":"2017-05-24T15:27:26","indexId":"70047892","displayToPublicDate":"2013-08-29T10:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Histopathological analysis of fish from Acorn Fork Creek, Kentucky exposed to hydraulic fracturing fluid releases","docAbstract":"Fracking fluids were released into Acorn Fork, KY, a designated Outstanding\nState Resource Water, and habitat for the threatened Chrosomus cumberlandensis (Blackside\nDace). As a result, stream pH dropped to 5.6 and stream conductivity increased to\n35,000 μS/cm, and aquatic invertebrates and fish were killed or distressed. The objective\nof this study was to describe post-fracking water quality in Acorn Fork and evaluate if the\nchanges in water quality could have extirpated Blackside Dace populations. Semotilus\natromaculatus (Creek Chub) and Lepomis cyanellus (Green Sunfish) were collected from\nAcorn Fork a month after fracking in lieu of unavailable Blackside Dace. Tissues were histologically\nanalyzed for indicators of stress and percent of fish with lesions. Fish exposed\nto affected Acorn Fork waters showed general signs of stress and had a higher incidence of\ngill lesions than unexposed reference fish. Gill lesions observed were consistent with exposure\nto low pH and toxic concentrations of heavy metals. Gill uptake of aluminum and iron\nwas demonstrated at sites with correspondingly high concentrations of these metals. The\nabrupt and persistent changes in post-fracking water quality resulted in toxic conditions\nthat could have been deleterious to Blackside Dace health and survival.","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.012.s413","usgsCitation":"Papoulias, D.M., and Velasco, A.L., 2013, Histopathological analysis of fish from Acorn Fork Creek, Kentucky exposed to hydraulic fracturing fluid releases: Southeastern Naturalist, v. 12, no. sp4, p. 92-111, https://doi.org/10.1656/058.012.s413.","productDescription":"20 p.","startPage":"92","endPage":"111","ipdsId":"IP-032244","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":277151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"sp4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52205f52e4b0645fc25e8c10","contributors":{"authors":[{"text":"Papoulias, Diana M. 0000-0002-5106-2469 dpapoulias@usgs.gov","orcid":"https://orcid.org/0000-0002-5106-2469","contributorId":2726,"corporation":false,"usgs":true,"family":"Papoulias","given":"Diana","email":"dpapoulias@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":483230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velasco, Anthony L.","contributorId":56546,"corporation":false,"usgs":true,"family":"Velasco","given":"Anthony","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":483231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047859,"text":"sir20135158 - 2013 - Bull trout (Salvelinus confluentus) movement in relation to water temperature, season, and habitat features in Arrowrock Reservoir, Idaho, 2012","interactions":[],"lastModifiedDate":"2013-08-28T09:35:32","indexId":"sir20135158","displayToPublicDate":"2013-08-28T08:57:00","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":"2013-5158","title":"Bull trout (Salvelinus confluentus) movement in relation to water temperature, season, and habitat features in Arrowrock Reservoir, Idaho, 2012","docAbstract":"Acoustic telemetry was used to determine spring to summer (April–August) movement and habitat use of bull trout (Salvelinus confluentus) in Arrowrock Reservoir (hereafter “Arrowrock”), a highly regulated reservoir in the Boise River Basin of southwestern Idaho. Water management practices annually use about 86 percent of the reservoir water volume to satisfy downstream water demands. These practices might be limiting bull trout habitat and movement patterns. Bull trout are among the more thermally sensitive coldwater species in North America, and the species is listed as threatened throughout the contiguous United States under the Endangered Species Act. Biweekly water-temperature and dissolved-oxygen profiles were collected by the Bureau of Reclamation at three locations in Arrowrock to characterize habitat conditions for bull trout. Continuous streamflow and water temperature also were measured immediately upstream of the reservoir on the Middle and South Fork Boise Rivers, which influence habitat conditions in the riverine zones of the reservoir. In spring 2012, 18 bull trout ranging in total length from 306 to 630 millimeters were fitted with acoustic transmitters equipped with temperature and depth sensors. Mobile boat tracking and fixed receivers were used to detect released fish. Fish were tagged from March 28 to April 20 and were tracked through most of August. Most bull trout movements were detected in the Middle Fork Boise River arm of the reservoir. Fifteen individual fish were detected at least once after release. Water surface temperature at each fish detection location ranged from 6.0 to 16.2 degrees Celsius (°C) (mean=10.1°C), whereas bull trout body temperatures were colder, ranging from 4.4 to 11.6°C (mean=7.3°C). Bull trout were detected over deep-water habitat, ranging from 8.0 to 42.6 meters (m) (mean=18.1 m). Actual fish depths were shallower than total water depth, ranging from 0.0 to 24.5 m (mean=6.7 m). The last bull trout was detected in early June, suggesting that fish used little, if any, summertime habitat within the reservoir. Water-quality profile measurements indicated that temperature could limit bull trout use of the reservoir during warm, summer months that coincide with decreased water volume. Thermal refuge during this study appeared to be limited based on scarcity of water that was 15°C and cooler. From the first week of August through the latter part of September, little if any suitable habitat remained for bull trout, with most temperatures exceeding 15°C at all locations where water quality profiles were measured.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135158","collaboration":"Prepared in cooperation with Bureau of Reclamation","usgsCitation":"Maret, T.R., and Schultz, J.E., 2013, Bull trout (Salvelinus confluentus) movement in relation to water temperature, season, and habitat features in Arrowrock Reservoir, Idaho, 2012: U.S. Geological Survey Scientific Investigations Report 2013-5158, iv, 28 p.; Appendix A, https://doi.org/10.3133/sir20135158.","productDescription":"iv, 28 p.; Appendix A","numberOfPages":"36","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":277079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135158.jpg"},{"id":277076,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5158/sir20135158_appendixA.xlsx"},{"id":277074,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5158/"},{"id":277075,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5158/pdf/sir20135158.pdf"}],"country":"United States","state":"Idaho","otherGeospatial":"Arrowrock Reservoir","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.666667,43.333333 ], [ -115.666667,43.666667 ], [ -116.166667,43.666667 ], [ -116.166667,43.333333 ], [ -115.666667,43.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521f0dd8e4b0f8bf2b0760b5","contributors":{"authors":[{"text":"Maret, Terry R. trmaret@usgs.gov","contributorId":953,"corporation":false,"usgs":true,"family":"Maret","given":"Terry","email":"trmaret@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schultz, Justin E.","contributorId":86253,"corporation":false,"usgs":true,"family":"Schultz","given":"Justin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":483168,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70047849,"text":"sir20135100 - 2013 - Water levels and water quality in the Sparta-Memphis aquifer (middle Claiborne aquifer) in Arkansas, spring-summer 2009","interactions":[],"lastModifiedDate":"2013-08-27T16:01:05","indexId":"sir20135100","displayToPublicDate":"2013-08-27T15:42:00","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":"2013-5100","title":"Water levels and water quality in the Sparta-Memphis aquifer (middle Claiborne aquifer) in Arkansas, spring-summer 2009","docAbstract":"The U.S. Geological Survey in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey has monitored water levels in the Sparta Sand of Claiborne Group and Memphis Sand of Claiborne Group (herein referred to as the Sparta Sand and the Memphis Sand, respectively) since the 1920s. Groundwater withdrawals have increased while water levels have declined since monitoring was initiated. Herein, aquifers in the Sparta Sand and Memphis Sand will be referred to as the Sparta-Memphis aquifer throughout Arkansas. During the spring of 2009, 324 water levels were measured in wells completed in the Sparta-Memphis aquifer and used to produce a regional potentiometric-surface map. During the summer of 2009, 64 water-quality samples were collected and measured for specific conductance, temperature, and pH from wells completed in the Sparta-Memphis aquifer.\n\nThe regional direction of groundwater flow in the Sparta-Memphis aquifer is generally to the south-southeast in the northern half of Arkansas and to the east and south in the southern half of Arkansas, away from the outcrop area except where affected by large groundwater withdrawals. The highest and lowest water-level altitudes measured in the Sparta-Memphis aquifer were 325 feet above and 157 feet below National Geodetic Vertical Datum of 1929, respectively.\n\nEight depressions (generally represented by closed contours) are located in the following counties: Bradley; Ashley; Calhoun; Cleveland; Columbia; Arkansas, Jefferson, Lincoln, and Prairie; Cross and Poinsett; and Union. Two large depressions shown on the 2009 potentiometric-surface map, centered in Jefferson and Union Counties, are the result of large withdrawals for industrial, irrigation, or public supply. The depression centered in Jefferson County deepened and expanded in recent years into Arkansas and Prairie Counties. The area enclosed within the 40-foot contour on the 2009 potentiometric-surface map has expanded south to the Drew County line and moved west from the intersection of Arkansas, Jefferson, and Lincoln Counties when compared with the 2007 potentiometric-surface map. To the north, east, and west, the 40-foot contour is comparable to the 2007 potentiometric-surface map. The lowest water-level altitude measurement during 2009 in the center of the depression in Union County represents a rise of 42 feet since 2003. The area enclosed by the lowest altitude contour, 140 feet below National Geodetic Vertical Datum of 1929, on the 2009 potentiometric-surface map is about half the area on the 2007 potentiometric-surface map. In the depression in western Poinsett and Cross Counties, the 140-foot contour extended north to the Poinsett-Craighead County line and south across Cross County about two-thirds of the distance to the St. Francis County line.\n\nA water-level difference map was constructed using water-level measurements made during 2005 and 2009 from 309 wells. The difference in water level between 2005 and 2009 ranged from -74.6 to 60.2 feet. Areas with a general rise in water levels occur in central Columbia County, southern Jefferson County, and most of Union County. In the area around west-central Union County, water levels rose as much as 60.2 feet with water levels in 18 wells rising 20 feet or more, representing an average annual rise of 5 feet or more. Water levels generally declined throughout most of the rest of Arkansas.\n\nHydrographs were constructed using a minimum of 25 years of water-level measurements at each of 206 wells. During the period 1985–2009, mean annual water levels rose in Calhoun, Columbia, Lafayette, and Union Counties, about 1.3 feet per year (ft/yr), 0.2 ft/yr, 0.1 ft/yr, and 0.6 ft/yr, respectively. Mean annual water-level declines between 0.0 and 2.3 ft/yr occurred in all other counties. In western Arkansas County, water-level altitudes in a continuously monitored well declined 60 feet during the irrigation season (April to September).\n\nSpecific conductance ranged from 43 microsiemens per centimeter at 25 degrees Celsius (μS/cm) in Ouachita County to 1,230 μS/cm in Phillips County. The mean specific conductance was 392 μS/cm. Although there is a regional increase in specific conductance to the east and south, specific conductance values greater than 700 μS/cm occurred in samples from wells in Arkansas, Ashley, Monroe, Phillips, and Union Counties.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135100","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey","usgsCitation":"Schrader, T., 2013, Water levels and water quality in the Sparta-Memphis aquifer (middle Claiborne aquifer) in Arkansas, spring-summer 2009: U.S. Geological Survey Scientific Investigations Report 2013-5100, Report: iv, 53 p.; 2 plates: 24 x 27 inches, https://doi.org/10.3133/sir20135100.","productDescription":"Report: iv, 53 p.; 2 plates: 24 x 27 inches","temporalStart":"2009-03-01","temporalEnd":"2009-09-30","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":277060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135100.PNG"},{"id":277056,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5100/"},{"id":277055,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5100/pdf/sir2013-5100.pdf"},{"id":277057,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5100/pdf/sir2013-5100_pl1.pdf"},{"id":277058,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5100/pdf/sir2013-5100_pl2.pdf"}],"country":"United States","state":"Arkansas","otherGeospatial":"Sparta-memphis Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.1125,33.0041 ], [ -94.1125,36.4997 ], [ -89.6448,36.4997 ], [ -89.6448,33.0041 ], [ -94.1125,33.0041 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52a6408fe4b0a6d6958827a7","contributors":{"authors":[{"text":"Schrader, T.P.","contributorId":56300,"corporation":false,"usgs":true,"family":"Schrader","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":483141,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047848,"text":"sir20135148 - 2013 - Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri","interactions":[],"lastModifiedDate":"2013-08-27T15:32:05","indexId":"sir20135148","displayToPublicDate":"2013-08-27T15:21:00","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":"2013-5148","title":"Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri","docAbstract":"Precipitation that fell from April 19 through May 3, 2011, resulted in widespread flooding across northern and eastern Arkansas and southern Missouri. The first storm produced a total of approximately 16 inches of precipitation over an 8-day period, and the following storms produced as much as 12 inches of precipitation over a 2-day period. Moderate to major flooding occurred quickly along many streams within Arkansas and Missouri (including the Black, Cache, Illinois, St. Francis, and White Rivers) at levels that had not been seen since the historic 1927 floods. The 2011 flood claimed an estimated 21 lives in Arkansas and Missouri, and damage caused by the flooding resulted in a Federal Disaster Declaration for 59 Arkansas counties that received Federal or State assistance. To further the goal of documenting and understanding floods, the U.S. Geological Survey, in cooperation with the Federal Emergency Management Agency, the U.S. Army Corps of Engineers–Little Rock and Memphis Districts, and Arkansas Natural Resources Commission, conducted a study to summarize meteorological and hydrological conditions before the flood; computed flood-peak magnitudes for 39 streamgages; estimated annual exceedance probabilities for 37 of those streamgages; determined the joint probabilities for 11 streamgages paired to the Mississippi River at Helena, Arkansas, which refers to the probability that locations on two paired streams simultaneously experience floods of a magnitude greater than or equal to a given annual exceedance probability; collected high-water marks; constructed flood-peak inundation maps showing maximum flood extent and water depths; and summarized flood damages and effects.\n\nFor the period of record used in this report, peak-of-record stage occurred at 24 of the 39 streamgages, and peak-of-record streamflow occurred at 13 of the 30 streamgages where streamflow was determined. Annual exceedance probabilities were estimated to be less than 0.5 percent at three streamgages. The joint probability values for streamgages paired with the Mississippi River at Helena, Ark., streamgage indicate a low probability of concurrent flooding with the paired streamgages. The inundation maps show the flood-peak extent and water depth of flooding for two stream reaches on the White River and two on the Black River; the vicinities of the communities of Holly Grove and Cotton Plant, Ark.; a reach of the White River that includes the crossing of Interstate 40 north of De Valls Bluff, Ark.; and the Tailwaters of Beaver Dam near Eureka Springs, Ark., Table Rock Dam near Branson, Mo., and Bull Shoals Dam near Flippin, Ark. The data and inundation maps can be used for flood response, recovery, and planning efforts by Federal, State, and local agencies.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135148","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency, the U.S. Army Corps of Engineers--Little Rock and Memphis Districts, and the Arkansas Natural Resources Commission","usgsCitation":"Westerman, D.A., Merriman, K., De Lanois, J.L., and Berenbrock, C., 2013, Analysis and inundation mapping of the April-May 2011 flood at selected locations in northern and eastern Arkansas and southern Missouri: U.S. Geological Survey Scientific Investigations Report 2013-5148, Report: vii, 44 p.; Downloads Directory, https://doi.org/10.3133/sir20135148.","productDescription":"Report: vii, 44 p.; Downloads Directory","onlineOnly":"Y","temporalStart":"2011-04-19","temporalEnd":"2011-05-03","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":277054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135148.PNG"},{"id":277051,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5148/"},{"id":277052,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5148/pdf/sir2013-5148.pdf"},{"id":277053,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5148/Downloads/"}],"country":"United States","state":"Arkansas;Missouri","otherGeospatial":"Arkansas River Basin;St. Francis River Basin;White River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.6179,34.7823 ], [ -94.6179,37.2905 ], [ -89.6448,37.2905 ], [ -89.6448,34.7823 ], [ -94.6179,34.7823 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521dcbc6e4b051c878dc355d","contributors":{"authors":[{"text":"Westerman, Drew A. 0000-0002-8522-776X dawester@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-776X","contributorId":4526,"corporation":false,"usgs":true,"family":"Westerman","given":"Drew","email":"dawester@usgs.gov","middleInitial":"A.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":483137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merriman, Katherine R.","contributorId":34418,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine R.","affiliations":[],"preferred":false,"id":483140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Lanois, Jeanne L. jdelanoi@usgs.gov","contributorId":4672,"corporation":false,"usgs":true,"family":"De Lanois","given":"Jeanne","email":"jdelanoi@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":483138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berenbrock, Charles","contributorId":30598,"corporation":false,"usgs":true,"family":"Berenbrock","given":"Charles","email":"","affiliations":[],"preferred":false,"id":483139,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047808,"text":"ofr20131231 - 2013 - Coastal change from Hurricane Sandy and the 2012-13 winter storm season: Fire Island, New York","interactions":[],"lastModifiedDate":"2013-10-30T13:24:14","indexId":"ofr20131231","displayToPublicDate":"2013-08-27T08:30:00","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":"2013-1231","title":"Coastal change from Hurricane Sandy and the 2012-13 winter storm season: Fire Island, New York","docAbstract":"The U.S. Geological Survey (USGS) mounted a substantial effort in response to Hurricane Sandy including an assessment of the morphological impacts to the beach and dune system at Fire Island, New York. Field surveys of the beach and dunes collected just prior to and after landfall were used to quantify change in several focus areas. In order to quantify morphologic change along the length of the island, pre-storm (May 2012) and post-storm (November 2012) lidar and aerial photography were used to assess changes to the shoreline and beach, and to measure volumetric changes. The extent and thicknesses of overwash deposits were mapped in the field, and measurements were used to determine volume, distribution, and characteristics of the deposits.\n\nThe beaches and dunes on Fire Island were severely eroded during Hurricane Sandy, and the island breached in three locations on the eastern segment of the island. Landward shift of the upper portion of the beach averaged 19.7 meters (m) but varied substantially along the coast. Shoreline change was also highly variable, but the shoreline prograded during the storm by an average of 11.4 m, due to the deposition of material eroded from the upper beach and dunes onto the lower portion of the beach. The beaches and dunes lost 54.4 percent of their pre-storm volume, and the dunes experienced overwash along 46.6 percent of the island. The inland overwash deposits account for 14 percent of the volume lost from the beaches and dunes, indicating that the majority of material was moved offshore.\n\nIn the winter months following Hurricane Sandy, seven storm events with significant wave heights greater than four m were recorded at a wave buoy 30 nautical miles south of Fire Island. Monthly shoreline and profile surveys indicate that the beach continued to erode dramatically. The shoreline, which exhibited a progradational trend immediately after Sandy, eroded an average of 21.4 m between November 2012 and mid-March 2013, with a maximum landward shift of nearly 60 m. By March 2013 the elevation of the beach in the majority of the surveyed profiles was lowered below the mean high water level (0.46 m), and the beach lost an additional 18.9 percent of its remaining volume. In the final time period of the field surveys (March to April 2013), the beach began to show signs of rapid recovery, and in 90 percent of the profiles, the volume of the beach in April 2013 was similar to the volume measured immediately after Hurricane Sandy.\n\nOverall, Hurricane Sandy profoundly impacted the morphology of Fire Island and resulted in an extremely low elevation, low relief configuration that has left the barrier island vulnerable to future storms. The coastal system subsequently began to show signs of recovery, and although the beach is likely to experience continued recovery in the form of volume gains, the dunes will take years to rebuild. Events such as Sandy result in a coastal environment that is a more vulnerable to future storm impacts, but they are an important natural process of barrier islands that allow these systems to evolve in response to sea-level rise.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131231","usgsCitation":"Hapke, C.J., Brenner, O., Henderson, R., and Reynolds, B., 2013, Coastal change from Hurricane Sandy and the 2012-13 winter storm season: Fire Island, New York: U.S. Geological Survey Open-File Report 2013-1231, vi, 37 p., https://doi.org/10.3133/ofr20131231.","productDescription":"vi, 37 p.","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-05-01","temporalEnd":"2012-11-30","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":277023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131231.gif"},{"id":277022,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1231/"},{"id":277027,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1231/pdf/ofr2013-1231.pdf"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.306874,40.62042 ], [ -73.306874,40.779037 ], [ -72.727963,40.779037 ], [ -72.727963,40.62042 ], [ -73.306874,40.62042 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52722a8be4b0ce70249c9816","contributors":{"authors":[{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":483011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brenner, Owen","contributorId":7987,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","affiliations":[],"preferred":false,"id":483013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Rachel E. 0000-0001-5810-7941 rhehre@usgs.gov","orcid":"https://orcid.org/0000-0001-5810-7941","contributorId":4934,"corporation":false,"usgs":true,"family":"Henderson","given":"Rachel E.","email":"rhehre@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":483012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, B.J.","contributorId":47874,"corporation":false,"usgs":true,"family":"Reynolds","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":483014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047836,"text":"pp1799 - 2013 - Stratigraphy of lower to middle Paleozoic rocks of northern Nevada and the Antler orogeny","interactions":[],"lastModifiedDate":"2018-03-23T14:26:21","indexId":"pp1799","displayToPublicDate":"2013-08-26T14:57:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1799","title":"Stratigraphy of lower to middle Paleozoic rocks of northern Nevada and the Antler orogeny","docAbstract":"Commonly accepted concepts concerning the lower Paleozoic stratigraphy of northern Nevada are based on the assumption that the deep-water aspects of Ordovician to Devonian siliceous strata are due to their origin in a distant oceanic environment, and their presence where we find them is due to tectonic emplacement by the Roberts Mountains thrust. The concept adopted here is based on the assumption that their deep-water aspects are the result of sea-level rise in the Cambrian, and all of the Paleozoic strata in northern Nevada are indigenous to that area. The lower part of the Cambrian consists mainly of shallow-water cross-bedded sands derived from the craton. The upper part of the Cambrian, and part of the Ordovician, consists mainly of deep-water carbonate clastics carried by turbidity currents from the carbonate shelf in eastern Nevada, newly constructed as a result of sea-level rise. Ordovician to mid-Devonian strata are relatively deep-water siliceous deposits, which are the western facies assemblage. The basal contact of this assemblage on autochthonous Cambrian rocks is exposed in three mountain ranges and is clearly depositional in all three. The western facies assemblage can be divided into distinct stratigraphic units of regional extent. Many stratigraphic details can be explained simply by known changes in sea level. Upper Devonian to Mississippian strata are locally and westerly derived orogenic clastic beds deposited disconformably on the western facies assemblage. This disconformity, clearly exposed in 10 mountain ranges, indicates regional uplift and erosion of the western facies assemblage and absence of local deformation. The disconformity represents the Antler orogeny.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1799","usgsCitation":"Ketner, K.B., 2013, Stratigraphy of lower to middle Paleozoic rocks of northern Nevada and the Antler orogeny: U.S. Geological Survey Professional Paper 1799, vi, 23 p., https://doi.org/10.3133/pp1799.","productDescription":"vi, 23 p.","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":277015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1799.gif"},{"id":277014,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1799/pdf/PP1799.pdf"},{"id":277013,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1799/"}],"country":"United States","state":"Nevada","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.9767,38.7369 ], [ -117.9767,41.9023 ], [ -115.0049,41.9023 ], [ -115.0049,38.7369 ], [ -117.9767,38.7369 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c6adde4b01458f784290b","contributors":{"authors":[{"text":"Ketner, Keith B.","contributorId":957,"corporation":false,"usgs":true,"family":"Ketner","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":true,"id":483102,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047816,"text":"70047816 - 2013 - Juvenile movement among different populations of cutthroat trout introduced as embryos to vacant habitat","interactions":[],"lastModifiedDate":"2021-04-22T20:25:52.872535","indexId":"70047816","displayToPublicDate":"2013-08-26T10:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile movement among different populations of cutthroat trout introduced as embryos to vacant habitat","docAbstract":"<p><span>Translocations are frequently used to increase the abundance and range of endangered fishes. One factor likely to affect the outcome of translocations is fish movement. We introduced embryos from five Westslope Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii lewisi</i><span>&nbsp;populations (both hatchery and wild) at five different locations within a fishless watershed. We then examined the movement of age‐1 and age‐2 fish and looked for differences in movement distance among source populations and among introduction sites; we also examined the interactions among age, population, and introduction site. At age 1, most individuals (90.9%) remained within 1,000&nbsp;m their introduction sites. By age 2, the majority of individuals (58.3%) still remained within 1,000&nbsp;m of their introduction site, but considerably more individuals had moved downstream, some more than 6,000&nbsp;m from their introduction site. We observed a significant interaction between age and source population (</span><i>F</i><span>&nbsp;</span><sub>4, 1077</sub><span>&nbsp;= 15.45,&nbsp;</span><i>P</i><span>&nbsp;&lt; 0.0001) as well as between age and introduction site (</span><i>F</i><span>&nbsp;</span><sub>41, 1077</sub><span>&nbsp;= 11.39,&nbsp;</span><i>P</i><span>&nbsp;&lt; 0.0008), so we presented results in the context of these interactions. Within age‐groups, we observed differences in movement behavior among source populations and among donor populations of Westslope Cutthroat Trout. We discuss these findings in light of previous research on juvenile salmonid movement.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2013.812582","usgsCitation":"Andrews, T.M., Shepard, B.B., Litt, A., Kruse, C.G., Zale, A.V., and Kalinowski, S.T., 2013, Juvenile movement among different populations of cutthroat trout introduced as embryos to vacant habitat: North American Journal of Fisheries Management, v. 33, no. 4, p. 795-805, https://doi.org/10.1080/02755947.2013.812582.","productDescription":"11 p.","startPage":"795","endPage":"805","ipdsId":"IP-038131","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":398,"text":"Montana Cooperative Fishery Research Unit","active":false,"usgs":true}],"links":[{"id":276983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Cherry Creek, Madison River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.45,\n              45.4\n            ],\n            [\n              -111.45,\n              45.5\n            ],\n            [\n              -111.55,\n              45.5\n            ],\n            [\n              -111.55,\n              45.4\n            ],\n            [\n              -111.45,\n              45.4\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-08-06","publicationStatus":"PW","scienceBaseUri":"521c6adce4b01458f7842903","contributors":{"authors":[{"text":"Andrews, Tessa M.","contributorId":98208,"corporation":false,"usgs":true,"family":"Andrews","given":"Tessa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":483051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shepard, Bradley B.","contributorId":57327,"corporation":false,"usgs":true,"family":"Shepard","given":"Bradley","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":483048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Litt, Andrea R.","contributorId":22226,"corporation":false,"usgs":true,"family":"Litt","given":"Andrea R.","affiliations":[],"preferred":false,"id":483047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kruse, Carter G.","contributorId":58545,"corporation":false,"usgs":true,"family":"Kruse","given":"Carter","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":483049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":483046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalinowski, Steven T.","contributorId":78465,"corporation":false,"usgs":true,"family":"Kalinowski","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":483050,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047814,"text":"70047814 - 2013 - Landscape-level estimation of nitrogen removal in coastal Louisiana wetlands: potential sinks under different restoration scenarios","interactions":[],"lastModifiedDate":"2017-01-12T11:40:25","indexId":"70047814","displayToPublicDate":"2013-08-26T08:32:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-level estimation of nitrogen removal in coastal Louisiana wetlands: potential sinks under different restoration scenarios","docAbstract":"<p><span>Coastal eutrophication in the northern Gulf of Mexico (GOM) is the primary anthropogenic contributor to the largest zone of hypoxic bottom waters in North America. Although biologically mediated processes such as denitrification (Dn) are known to act as sinks for inorganic nitrogen, it is unknown what contribution denitrification makes to landscape-scale nitrogen budgets along the coast. As the State of Louisiana plans the implementation of a 2012 Coastal Master Plan (MP) to help restore its wetlands and protect its coast, it is critical to understand what effect potential restoration projects may have in altering nutrient budgets. As part of the MP, a spatial statistical approach was developed to estimate nitrogen removal under varying scenarios of future conditions and coastal restoration project implementation. In every scenario of future conditions under which MP implementation was modeled, more nitrogen (</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm01.gif\" alt=\"\" data-mce-src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm01.gif\"></span><span>) was removed from coastal waters when compared with conditions under which no action is taken. Overall, the MP increased coast-wide average nitrogen removal capacity (NRC) rates by up to 0.55 g N m</span><sup>−2</sup><span> y</span><sup>−1</sup><span> compared with the “future without action” (FWOA) scenario, resulting in a conservative estimate of up to 25% removal of the annual</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm12.gif\" alt=\"\" data-mce-src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm12.gif\"></span><span> +</span><span class=\"NLM_inline-graphic\"><img src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm23.gif\" alt=\"\" data-mce-src=\"http://www.bioone.org/na101/home/literatum/publisher/bioone/journals/content/coas/2013/15515036-67.sp1/si_67_6/20130814/images/medium/i1551-5036-67-sp1-75-ilm23.gif\"></span><span> load of the Mississippi-Atchafalaya rivers (956,480 t y</span><sup>−1</sup><span>). These results are spatially correlated, with the lower Mississippi River and Chenier Plain exhibiting the greatest change in NRC. Since the implementation of the MP can maintain, and in some regions increase the NRC, our results show the need to preserve the functionality of wetland habitats and use this ecosystem service (</span><i>i.e</i><span>. Dn) to decrease eutrophication of the GOM.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI_67_6","usgsCitation":"Rivera-Monroy, V., Branoff, B., Meselhe, E., McCorquodale, A., Dortch, M., Steyer, G.D., Visser, J., and Wang, H., 2013, Landscape-level estimation of nitrogen removal in coastal Louisiana wetlands: potential sinks under different restoration scenarios: Journal of Coastal Research, v. Summer 2013, p. 75-87, https://doi.org/10.2112/SI_67_6.","productDescription":"13 p.","startPage":"75","endPage":"87","numberOfPages":"13","ipdsId":"IP-042639","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":276978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.8379 ], [ -88.8162,30.8379 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","volume":"Summer 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521c6adde4b01458f7842907","contributors":{"authors":[{"text":"Rivera-Monroy, Victor H.","contributorId":34198,"corporation":false,"usgs":true,"family":"Rivera-Monroy","given":"Victor H.","affiliations":[],"preferred":false,"id":483034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Branoff, Benjamin","contributorId":99874,"corporation":false,"usgs":true,"family":"Branoff","given":"Benjamin","affiliations":[],"preferred":false,"id":483038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meselhe, Ehab","contributorId":95333,"corporation":false,"usgs":true,"family":"Meselhe","given":"Ehab","email":"","affiliations":[],"preferred":false,"id":483037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCorquodale, Alex","contributorId":53685,"corporation":false,"usgs":true,"family":"McCorquodale","given":"Alex","email":"","affiliations":[],"preferred":false,"id":483036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dortch, Mark","contributorId":15507,"corporation":false,"usgs":true,"family":"Dortch","given":"Mark","email":"","affiliations":[],"preferred":false,"id":483033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":483031,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Visser, Jenneke","contributorId":40504,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","affiliations":[],"preferred":false,"id":483035,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":4421,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":483032,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
]}