{"pageNumber":"90","pageRowStart":"2225","pageSize":"25","recordCount":10952,"records":[{"id":70201617,"text":"70201617 - 2018 - Carbon budget of tidal wetlands, estuaries, and shelf waters of eastern North America","interactions":[],"lastModifiedDate":"2018-12-18T15:53:14","indexId":"70201617","displayToPublicDate":"2018-03-01T15:53:23","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Carbon budget of tidal wetlands, estuaries, and shelf waters of eastern North America","docAbstract":"<p><span>Carbon cycling in the coastal zone affects global carbon budgets and is critical for understanding the urgent issues of hypoxia, acidification, and tidal wetland loss. However, there are no regional carbon budgets spanning the three main ecosystems in coastal waters: tidal wetlands, estuaries, and shelf waters. Here we construct such a budget for eastern North America using historical data, empirical models, remote sensing algorithms, and process‐based models. Considering the net fluxes of total carbon at the domain boundaries, 59&nbsp;±&nbsp;12% (± 2 standard errors) of the carbon entering is from rivers and 41&nbsp;±&nbsp;12% is from the atmosphere, while 80&nbsp;±&nbsp;9% of the carbon leaving is exported to the open ocean and 20&nbsp;±&nbsp;9% is buried. Net lateral carbon transfers between the three main ecosystem types are comparable to fluxes at the domain boundaries. Each ecosystem type contributes substantially to exchange with the atmosphere, with CO</span><sub>2</sub><span>uptake split evenly between tidal wetlands and shelf waters, and estuarine CO</span><sub>2</sub><span>outgassing offsetting half of the uptake. Similarly, burial is about equal in tidal wetlands and shelf waters, while estuaries play a smaller but still substantial role. The importance of tidal wetlands and estuaries in the overall budget is remarkable given that they, respectively, make up only 2.4 and 8.9% of the study domain area. This study shows that coastal carbon budgets should explicitly include tidal wetlands, estuaries, shelf waters, and the linkages between them; ignoring any of them may produce a biased picture of coastal carbon cycling.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017GB005790","usgsCitation":"Najjar, R., Herrmann, M., Alexander, R.B., Boyer, E., Burdige, D., Butman, D., Cai, W., Canuel, E., Chen, R., Friedrichs, M.A., Feagin, R., Griffith, P.C., Hinson, A., Holmquist, J., Hu, X., Kemp, W., Kroeger, K.D., Mannino, A., McCallister, S., McGillis, W., Mulholland, M., Pilskaln, C.H., Salisbury, J., Signorini, S., St. Laurent, P., Tian, H., Tzortziou, M., Vlahos, P., Wan, Z., and Zimmerman, R.C., 2018, Carbon budget of tidal wetlands, estuaries, and shelf waters of eastern North America: Global Biogeochemical Cycles, v. 32, no. 3, p. 389-416, https://doi.org/10.1002/2017GB005790.","productDescription":"28 p.","startPage":"389","endPage":"416","ipdsId":"IP-092980","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468939,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017gb005790","text":"External Repository"},{"id":360518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"32","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-11","publicationStatus":"PW","scienceBaseUri":"5c1a1534e4b0708288c23542","contributors":{"authors":[{"text":"Najjar, R.G.","contributorId":211647,"corporation":false,"usgs":false,"family":"Najjar","given":"R.G.","affiliations":[{"id":38295,"text":"Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, USA.","active":true,"usgs":false}],"preferred":false,"id":754585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herrmann, M.","contributorId":211648,"corporation":false,"usgs":false,"family":"Herrmann","given":"M.","email":"","affiliations":[{"id":38295,"text":"Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania, USA.","active":true,"usgs":false}],"preferred":false,"id":754586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":754587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, E.W.","contributorId":56358,"corporation":false,"usgs":false,"family":"Boyer","given":"E.W.","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burdige, D. J.","contributorId":211649,"corporation":false,"usgs":true,"family":"Burdige","given":"D. J.","affiliations":[{"id":38296,"text":"Department of Ocean, Earth, and Atmospheric Sciences, Old Dominion University, Norfolk, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":754589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butman, D.","contributorId":211650,"corporation":false,"usgs":false,"family":"Butman","given":"D.","email":"","affiliations":[{"id":38297,"text":"Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, USA","active":true,"usgs":false}],"preferred":false,"id":754590,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cai, W.-J.","contributorId":211651,"corporation":false,"usgs":false,"family":"Cai","given":"W.-J.","affiliations":[{"id":38298,"text":"College of Earth, Ocean, and the Environment, University of Delaware, Newark, Delaware, USA","active":true,"usgs":false}],"preferred":false,"id":754591,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Canuel, E.A.","contributorId":211652,"corporation":false,"usgs":false,"family":"Canuel","given":"E.A.","email":"","affiliations":[{"id":38299,"text":"Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":754592,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, R.F.","contributorId":211653,"corporation":false,"usgs":false,"family":"Chen","given":"R.F.","email":"","affiliations":[{"id":38300,"text":"School for the Environment, University of Massachusetts Boston, Boston, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":754593,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Friedrichs, M. A. M.","contributorId":211654,"corporation":false,"usgs":false,"family":"Friedrichs","given":"M.","email":"","middleInitial":"A. M.","affiliations":[{"id":38299,"text":"Virginia Institute of Marine Science, College of William & Mary, Gloucester Point, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":754594,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Feagin, R.A.","contributorId":211655,"corporation":false,"usgs":false,"family":"Feagin","given":"R.A.","email":"","affiliations":[{"id":38301,"text":"Department of Ecosystem Science and Management, Texas A&M University, College Station, Texas, USA","active":true,"usgs":false}],"preferred":false,"id":754595,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Griffith, P. 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H.","contributorId":211663,"corporation":false,"usgs":false,"family":"Pilskaln","given":"C.","email":"","middleInitial":"H.","affiliations":[{"id":38307,"text":"Department of Estuarine and Ocean Sciences, School for Marine Science and Technology, University of Massachusetts Dartmouth, New Bedford, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":754605,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Salisbury, J.","contributorId":194686,"corporation":false,"usgs":false,"family":"Salisbury","given":"J.","affiliations":[],"preferred":false,"id":754606,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Signorini, S. R.","contributorId":211664,"corporation":false,"usgs":false,"family":"Signorini","given":"S. 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,{"id":70195038,"text":"ofr20181009 - 2018 - Freshwater mussel salvage and relocation at the Pond Eddy Bridge, Delaware River, New York and Pennsylvania","interactions":[],"lastModifiedDate":"2024-03-04T19:06:03.254998","indexId":"ofr20181009","displayToPublicDate":"2018-03-01T12:15:00","publicationYear":"2018","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":"2018-1009","title":"Freshwater mussel salvage and relocation at the Pond Eddy Bridge, Delaware River, New York and Pennsylvania","docAbstract":"<p><span>In a study conducted by the U.S. Geological Survey, in cooperation with the Pennsylvania Department of Transportation, freshwater mussels were salvaged and relocated from the anticipated zone of impact for the Pond Eddy Bridge construction project in New York and Pennsylvania. Five 25-meter (m) by 25-m cells along the Pennsylvania bank of the Delaware River were sampled in three generally straight-line passes by four surveyors wearing snorkel gear for a total of 180 survey minutes per cell. All mussels encountered were collected and identified to species. A subset of individuals was marked with shellfish tags, weighed, and measured prior to relocation upstream from the zone of impact. A total of 3,434 mussels, including 3,393&nbsp;</span><i>Elliptio complanata</i><span><span>&nbsp;</span>(eastern elliptio mussels), 39<span>&nbsp;</span></span><i>Anodonta implicata</i><span><span>&nbsp;</span>(alewife floaters), 1<span>&nbsp;</span></span><i>Strophitus undulatus</i><span><span>&nbsp;</span>(creeper), and 1<span>&nbsp;</span></span><i>Pyganodon cataracta</i><span><span>&nbsp;</span>(eastern floater), were salvaged and relocated. All non-eastern elliptio species were georeferenced using a high-resolution global positioning system unit; a subset of tagged eastern elliptio was placed in transects between georeferenced points. These mussels will be monitored to assess the effects of translocation on mortality and body condition at 1 month, 1 year, and 2 years.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181009","collaboration":"Prepared in cooperation with the Pennsylvania Department of Transportation","usgsCitation":"Galbraith, H.S., Blakeslee, C.J., and Cole, J.C., 2018, Freshwater mussel salvage and relocation at the Pond Eddy Bridge, Delaware River, New York and Pennsylvania: U.S. Geological Survey Open-File Report 2018–1009, 5 p., https://doi.org/10.3133/ofr20181009.","productDescription":"iii, 5 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-078737","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":352158,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1009/ofr20181009.pdf","text":"Report","size":"1.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1009"},{"id":352157,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1009/coverthb2.jpg"}],"country":"United States","state":"New York, Pennsylvania","otherGeospatial":"Delaware River, Pond Eddy Bridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.8264217376709,\n              41.43381464755217\n            ],\n            [\n              -74.81114387512207,\n              41.43381464755217\n            ],\n            [\n              -74.81114387512207,\n              41.44513909047355\n            ],\n            [\n              -74.8264217376709,\n              41.44513909047355\n            ],\n            [\n              -74.8264217376709,\n              41.43381464755217\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>11649 Leetown Road<br>Kearneysville, WV 25430</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Salvage and Relocation</li><li>Results of Salvage and Relocation</li><li>Limitations of the Study and Future Monitoring</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2018-03-01","noUsgsAuthors":false,"publicationDate":"2018-03-01","publicationStatus":"PW","scienceBaseUri":"5afee70ee4b0da30c1bfc08c","contributors":{"authors":[{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":726688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakeslee, Carrie J. 0000-0002-0801-5325 cblakeslee@usgs.gov","orcid":"https://orcid.org/0000-0002-0801-5325","contributorId":5462,"corporation":false,"usgs":true,"family":"Blakeslee","given":"Carrie","email":"cblakeslee@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":726689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Jeffrey C. 0000-0002-2477-7231 jccole@usgs.gov","orcid":"https://orcid.org/0000-0002-2477-7231","contributorId":5585,"corporation":false,"usgs":true,"family":"Cole","given":"Jeffrey","email":"jccole@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":726690,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236613,"text":"70236613 - 2018 - Application of imaging spectroscopy for mineral exploration in Alaska: A study over porphyry Cu deposits in the eastern Alaska Range","interactions":[],"lastModifiedDate":"2022-09-13T11:58:59.256404","indexId":"70236613","displayToPublicDate":"2018-03-01T06:50:06","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Application of imaging spectroscopy for mineral exploration in Alaska: A study over porphyry Cu deposits in the eastern Alaska Range","docAbstract":"<div id=\"114214517\" class=\"article-section-wrapper js-article-section js-content-section  \"><p>The U.S. Geological Survey tested the utility of imaging spectroscopy (also referred to as hyperspectral remote sensing) as an aid to regional mineral exploration efforts in remote parts of Alaska. Airborne imaging spectrometer data were collected in 2014 over unmined porphyry Cu deposits in the eastern Alaska Range using the HyMap™ sensor. Maps of the distributions of predominant minerals, made by matching reflectance signatures in the remotely sensed data to reference spectra in the shortwave infrared region, do not uniquely discriminate individual rock units. However, they do highlight hydrothermal alteration associated with porphyry deposits and prospects hosted mostly within the Nabesna pluton. In and around porphyry Cu deposits at Orange Hill and Bond Creek, unique spectral signatures are related to variations in chlorite and white mica abundance and their chemical composition. This is best revealed in the longer-wavelength 2,200-nm Al-OH absorption feature positions in pixels spectrally dominated by white mica proximal to porphyry deposits. Similar spectral signatures of chlorite and white mica wavelength positions were also recognized away from the porphyry deposits; follow-up sampling identified these satellite areas to also contain Cu-Mo-Au mineralized rock. Our study confirms that airborne imaging spectroscopy has application for regional mineral exploration in exposed mountainous terrain in Alaska.</p></div>","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.2018.4559","usgsCitation":"Graham, G.E., Kokaly, R.F., Kelley, K.D., Hoefen, T.M., Johnson, M., and Hubbard, B.E., 2018, Application of imaging spectroscopy for mineral exploration in Alaska: A study over porphyry Cu deposits in the eastern Alaska Range: Economic Geology, v. 113, no. 2, p. 489.-510, https://doi.org/10.5382/econgeo.2018.4559.","productDescription":"22 p.","startPage":"489.","endPage":"510","ipdsId":"IP-087274","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":468946,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5382/econgeo.2018.4559","text":"Publisher Index Page"},{"id":406586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.7421875,\n              57.7041472343419\n            ],\n            [\n              -140.5810546875,\n              57.7041472343419\n            ],\n            [\n              -140.5810546875,\n              65.38514722188857\n            ],\n            [\n              -155.7421875,\n              65.38514722188857\n            ],\n            [\n              -155.7421875,\n              57.7041472343419\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"113","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":851501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":851502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":851503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":851504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Michaela 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":182462,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela","email":"mrjohns@usgs.gov","affiliations":[],"preferred":true,"id":851505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hubbard, Bernard E. 0000-0002-9315-2032","orcid":"https://orcid.org/0000-0002-9315-2032","contributorId":213146,"corporation":false,"usgs":true,"family":"Hubbard","given":"Bernard","email":"","middleInitial":"E.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":851506,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198130,"text":"70198130 - 2018 - Drivers of variability in public‐supply water use across the contiguous United States","interactions":[],"lastModifiedDate":"2018-07-17T09:50:48","indexId":"70198130","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","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":"Drivers of variability in public‐supply water use across the contiguous United States","docAbstract":"<p><span>This study explores the relationship between municipal water use and an array of climate, economic, behavioral, and policy variables across the contiguous U.S. The relationship is explored using Bayesian‐hierarchical regression models for over 2,500 counties, 18 covariates, and three higher‐level grouping variables. Additionally, a second analysis is included for 83 cities where water price and water conservation policy information is available. A hierarchical model using the nine climate regions (product of National Oceanic and Atmospheric Administration) as the higher‐level groups results in the best out‐of‐sample performance, as estimated by the Widely Available Information Criterion, compared to counties grouped by urban continuum classification or primary economic activity. The regression coefficients indicate that the controls on water use are not uniform across the nation: e.g., counties in the Northeast and Northwest climate regions are more sensitive to social variables, whereas counties in the Southwest and East North Central climate regions are more sensitive to environmental variables. For the national city‐level model, it appears that arid cities with a high cost of living and relatively low water bills sell more water per customer, but as with the county‐level model, the effect of each variable depends heavily on where a city is located.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017WR021268","usgsCitation":"Worland, S.C., Steinschneider, S., and Hornberger, G.M., 2018, Drivers of variability in public‐supply water use across the contiguous United States: Water Resources Research, v. 54, no. 3, p. 1868-1889, https://doi.org/10.1002/2017WR021268.","productDescription":"22 p.","startPage":"1868","endPage":"1889","ipdsId":"IP-087770","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":488785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr021268","text":"Publisher Index Page"},{"id":355717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"54","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-15","publicationStatus":"PW","scienceBaseUri":"5b6fc483e4b0f5d57878ea9c","contributors":{"authors":[{"text":"Worland, Scott C. 0000-0001-6384-2457 scworland@usgs.gov","orcid":"https://orcid.org/0000-0001-6384-2457","contributorId":5802,"corporation":false,"usgs":true,"family":"Worland","given":"Scott","email":"scworland@usgs.gov","middleInitial":"C.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steinschneider, Scott 0000-0002-8882-1908","orcid":"https://orcid.org/0000-0002-8882-1908","contributorId":206359,"corporation":false,"usgs":false,"family":"Steinschneider","given":"Scott","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":740160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hornberger, George M.","contributorId":206360,"corporation":false,"usgs":false,"family":"Hornberger","given":"George","email":"","middleInitial":"M.","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":740161,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196176,"text":"70196176 - 2018 - Fire and climate suitability for woody vegetation communities in the south central United States","interactions":[],"lastModifiedDate":"2019-10-28T09:26:31","indexId":"70196176","displayToPublicDate":"2018-03-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fire and climate suitability for woody vegetation communities in the south central United States","docAbstract":"Climate and fire are primary drivers of plant species distributions. Long-term management of south central United States woody vegetation communities can benefit from information on potential changes in climate and fire frequencies, and how these changes might affect plant communities. We used historical (1900 to 1929) and future (2040 to 2069 and 2070 to 2099) projected climate data for the conterminous US to estimate reference and future fire probabilities\nusing a physical chemistry fire frequency model. We then used the fire probability data with additional climate parameters to construct maximum entropy environmental suitability models for three south central US vegetation communities. The modeled communities included an oak type (dominated by post oak, Quercus stellata Wangenh., and blackjack oak, Q. marilandica Münchh.), a mesquite type (dominated by honey mesquite, Prosopis glandulosa Torr., and velvet mesquite, P. velutina Wooton), and a pinyon−juniper type (dominated by pinyon pine, Pinus edulis Engelm., and Utah juniper, Juniperus osteosperma [Torr.] Little). We mapped baseline and future mean fire-climate suitability using data from three global climate models for 2040 to 2069 and 2070 to 2099; we also mapped future locations of threshold conditions for which all three models agreed on suitability for each community. Future projections included northward, southward, and eastward shifts in suitable conditions for the oaks along a broad path of fire-climate stability; an overall reduction in suitable area for historic mesquite communities coupled with potential expansion to new areas; and constriction and isolation of suitable conditions for pinyon−juniper communities. The inclusion of fire probability adds an important driver of vegetation distribution to climate envelope modeling. The simple models showed good fit, but future projections failed to account for future management activities or land use changes. Results provided information on potential future de-coupling and spatial re-arrangement of environmental conditions under which these communities have historically persisted and been managed. In particular, consensus threshold maps can inform long-term planning for maintenance or restoration of these communities, and they can be used as a potential tool for other communities in fire-prone environments within the study area and beyond its borders.","language":"English","publisher":"Springer","doi":"10.4996/fireecology.140110612","usgsCitation":"Stroh, E., Struckhoff, M., Stambaugh, M.C., and Guyette, R.P., 2018, Fire and climate suitability for woody vegetation communities in the south central United States: Fire Ecology, v. 14, no. 1, p. 106-124, https://doi.org/10.4996/fireecology.140110612.","productDescription":"19 p.","startPage":"106","endPage":"124","ipdsId":"IP-088298","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4996/fireecology.140110612","text":"Publisher Index Page"},{"id":352785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-01","publicationStatus":"PW","scienceBaseUri":"5afee711e4b0da30c1bfc0bc","contributors":{"authors":[{"text":"Stroh, Esther 0000-0003-4291-4647","orcid":"https://orcid.org/0000-0003-4291-4647","contributorId":202825,"corporation":false,"usgs":true,"family":"Stroh","given":"Esther","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Struckhoff, Matthew 0000-0002-4911-9956","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":201512,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":731538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stambaugh, Michael C.","contributorId":202826,"corporation":false,"usgs":false,"family":"Stambaugh","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":13706,"text":"University of Missouri-Columbia","active":true,"usgs":false}],"preferred":false,"id":731539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guyette, Richard P.","contributorId":176595,"corporation":false,"usgs":false,"family":"Guyette","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":731540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195674,"text":"70195674 - 2018 - Surrounding land cover types as predictors of palustrine wetland vegetation quality in conterminous USA","interactions":[],"lastModifiedDate":"2018-02-27T09:51:12","indexId":"70195674","displayToPublicDate":"2018-02-27T00:00:00","publicationYear":"2018","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":"Surrounding land cover types as predictors of palustrine wetland vegetation quality in conterminous USA","docAbstract":"<p><span>The loss of wetland habitats and their often-unique biological communities is a major environmental concern. We examined vegetation data obtained from 380 wetlands sampled in a statistical survey of wetlands in the USA. Our goal was to identify which surrounding land cover types best predict two indices of vegetation quality in wetlands at the regional scale. We considered palustrine wetlands in four regions (Coastal Plains, North Central East, Interior Plains, and West) in which the dominant vegetation was emergent, forested, or scrub-shrub. For each wetland, we calculated weighted proportions of eight land cover types surrounding the area in which vegetation was assessed, in four zones radiating from the edge of the assessment area to 2</span><span>&nbsp;</span><span>km. Using Akaike's Information Criterion, we determined the best 1-, 2- and 3-predictor models of the two indices, using the weighted proportions of the land cover types as potential predictors. Mean values of the two indices were generally higher in the North Central East and Coastal Plains than the other regions for forested and emergent wetlands. In nearly all cases, the best predictors of the indices were not the dominant surrounding land cover types. Overall, proportions of forest (positive effect) and agriculture (negative effect) surrounding the assessment area were the best predictors of the two indices. One or both of these variables were included as predictors in 65 of the 72 models supported by the data. Wetlands surrounding the assessment area had a positive effect on the indices, and ranked third (33%) among the predictors included in supported models. Development had a negative effect on the indices and was included in only 28% of supported models. These results can be used to develop regional management plans for wetlands, such as creating forest buffers around wetlands, or to conserve zones between wetlands to increase habitat connectivity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.11.107","usgsCitation":"Stapanian, M.A., Gara, B., and Schumacher, W., 2018, Surrounding land cover types as predictors of palustrine wetland vegetation quality in conterminous USA: Science of the Total Environment, v. 619-620, p. 366-375, https://doi.org/10.1016/j.scitotenv.2017.11.107.","productDescription":"10 p.","startPage":"366","endPage":"375","ipdsId":"IP-088234","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}\n\n\n","volume":"619-620","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee715e4b0da30c1bfc102","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gara, Brian","contributorId":52061,"corporation":false,"usgs":true,"family":"Gara","given":"Brian","affiliations":[],"preferred":false,"id":729638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumacher, William","contributorId":150060,"corporation":false,"usgs":false,"family":"Schumacher","given":"William","email":"","affiliations":[{"id":17898,"text":"Ohio Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":729639,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195625,"text":"70195625 - 2018 - Temporal shift of sea turtle nest sites in an eroding barrier island beach","interactions":[],"lastModifiedDate":"2018-02-26T12:28:19","indexId":"70195625","displayToPublicDate":"2018-02-26T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"Temporal shift of sea turtle nest sites in an eroding barrier island beach","docAbstract":"<p><span>Shoreline changes affect functionality of a sandy beach as a wildlife habitat and coastal erosion is among the primary causes of the changes. We examined temporal shifts in locations where loggerheads placed nests in relation to coastal erosion along a barrier island beach in the northern Gulf of Mexico. We first confirmed consistency in long-term (1855–2001), short-term (1976–2001), and more recent (2002–2012) shoreline change rates in two adjacent beach sections, one historically eroding (west beach) and the other accreting (east beach). The mean annual shoreline change rate in the two sections was significantly different in all time periods. The recent (1998–2012) mean change rate was −10.9&nbsp;±&nbsp;9.9&nbsp;m/year in the west beach and −2.8&nbsp;±&nbsp;4.9&nbsp;m/year in the east beach, which resulted in the loss of about 70% and 30% of area in the west and east beaches, respectively. Loggerheads nested significantly closer to the vegetation line in 2012 than in 2002 in the west beach but the difference between the two time periods was not significant in the east beach. However, the distance from nests to the vegetation line from 2002 to 2014 was significantly reduced annually in both beaches; on average, loggerheads nested closer to the vegetation line by 9&nbsp;m/year in the west beach and 5.8&nbsp;m/year in the east beach. The observed shoreline change rate and corresponding shift of nest placement sites, combined with the forecasted future beach loss, highlighted the importance of addressing the issue of beach erosion to conserve sandy beach habitats.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2017.12.032","usgsCitation":"Fujisaki, I., Lamont, M.M., and Carthy, R.R., 2018, Temporal shift of sea turtle nest sites in an eroding barrier island beach: Ocean and Coastal Management, v. 155, p. 24-29, https://doi.org/10.1016/j.ocecoaman.2017.12.032.","productDescription":"6 p.","startPage":"24","endPage":"29","ipdsId":"IP-081420","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":461017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2017.12.032","text":"Publisher Index Page"},{"id":352017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Cape San Blas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.36582946777342,\n              29.66631496269232\n            ],\n            [\n              -85.3267765045166,\n              29.66631496269232\n            ],\n            [\n              -85.3267765045166,\n              29.67835894854861\n            ],\n            [\n              -85.36582946777342,\n              29.67835894854861\n            ],\n            [\n              -85.36582946777342,\n              29.66631496269232\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"155","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee717e4b0da30c1bfc110","contributors":{"authors":[{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":729456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":729455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":729457,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195621,"text":"70195621 - 2018 - Rayleigh and S wave tomography constraints on subduction termination and lithospheric foundering in central California","interactions":[],"lastModifiedDate":"2018-02-26T12:31:26","indexId":"70195621","displayToPublicDate":"2018-02-26T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Rayleigh and S wave tomography constraints on subduction termination and lithospheric foundering in central California","docAbstract":"<p><span>The crust and upper mantle structure of central California have been modified by subduction termination, growth of the San Andreas plate boundary fault system, and small-scale upper mantle convection since the early Miocene. Here we investigate the contributions of these processes to the creation of the Isabella Anomaly, which is a high seismic velocity volume in the upper mantle. There are two types of hypotheses for its origin. One is that it is the foundered mafic lower crust and mantle lithosphere of the southern Sierra Nevada batholith. The alternative suggests that it is a fossil slab connected to the Monterey microplate. A dense broadband seismic transect was deployed from the coast to the western Sierra Nevada to fill in the least sampled areas above the Isabella Anomaly, and regional-scale Rayleigh and S wave tomography are used to evaluate the two hypotheses. New shear velocity (Vs) tomography images a high-velocity anomaly beneath coastal California that is sub-horizontal at depths of ∼40–80 km. East of the San Andreas Fault a continuous extension of the high-velocity anomaly dips east and is located beneath the Sierra Nevada at ∼150–200 km depth. The western position of the Isabella Anomaly in the uppermost mantle is inconsistent with earlier interpretations that the Isabella Anomaly is connected to actively foundering foothills lower crust. Based on the new Vs images, we interpret that the Isabella Anomaly is not the dense destabilized root of the Sierra Nevada, but rather a remnant of Miocene subduction termination that is translating north beneath the central San Andreas Fault. Our results support the occurrence of localized lithospheric foundering beneath the high elevation eastern Sierra Nevada, where we find a lower crustal low Vs layer consistent with a small amount of partial melt. The high elevations relative to crust thickness and lower crustal low Vs zone are consistent with geological inferences that lithospheric foundering drove uplift and a ∼3–4 Ma pulse of basaltic magmatism.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.02.009","usgsCitation":"Jiang, C., Schmandt, B., Hansen, S.M., Dougherty, S.L., Clayton, R.W., Farrell, J., and Lin, F., 2018, Rayleigh and S wave tomography constraints on subduction termination and lithospheric foundering in central California: Earth and Planetary Science Letters, v. 488, p. 14-26, https://doi.org/10.1016/j.epsl.2018.02.009.","productDescription":"13 p.","startPage":"14","endPage":"26","ipdsId":"IP-090395","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":468974,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20180221-090936349","text":"External Repository"},{"id":352018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124,\n              32\n            ],\n            [\n              -114,\n              32\n            ],\n            [\n              -114,\n              39\n            ],\n            [\n              -124,\n              39\n            ],\n            [\n              -124,\n              32\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"488","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee717e4b0da30c1bfc112","contributors":{"authors":[{"text":"Jiang, Chengxin","contributorId":202749,"corporation":false,"usgs":false,"family":"Jiang","given":"Chengxin","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":729435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":729436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Steven M.","contributorId":202751,"corporation":false,"usgs":false,"family":"Hansen","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":729437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dougherty, Sara L. 0000-0002-5327-3286 sdougherty@usgs.gov","orcid":"https://orcid.org/0000-0002-5327-3286","contributorId":191210,"corporation":false,"usgs":true,"family":"Dougherty","given":"Sara","email":"sdougherty@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":729434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clayton, Robert W.","contributorId":202752,"corporation":false,"usgs":false,"family":"Clayton","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":729438,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farrell, Jamie","contributorId":175477,"corporation":false,"usgs":false,"family":"Farrell","given":"Jamie","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":729439,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lin, Fan-Chi","contributorId":175478,"corporation":false,"usgs":false,"family":"Lin","given":"Fan-Chi","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":729440,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194657,"text":"sir20175099 - 2018 - Variability of hydrological droughts in the conterminous United States, 1951 through 2014","interactions":[],"lastModifiedDate":"2018-02-22T14:35:38","indexId":"sir20175099","displayToPublicDate":"2018-02-22T12:00:00","publicationYear":"2018","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":"2017-5099","title":"Variability of hydrological droughts in the conterminous United States, 1951 through 2014","docAbstract":"<p>Spatial and temporal variability in the frequency, duration, and severity of hydrological droughts across the conterminous United States (CONUS) was examined using monthly mean streamflow measured at 872 sites from 1951 through 2014. Hydrological drought is identified as starting when streamflow falls below the 20th percentile streamflow value for 3 consecutive months and ending when streamflow remains above the 20th percentile streamflow value for 3 consecutive months. Mean drought frequency for all aggregated ecoregions in CONUS is 16 droughts per 100 years. Mean drought duration is 5 months, and mean drought severity is 39 percent on a scale ranging from 0 percent to 100 percent (with 100% being the most severe). Hydrological drought frequency is highest in the Western Mountains aggregated ecoregion and lowest in the Eastern Highlands, Northeast, and Southeast Plains aggregated ecoregions. Hydrological drought frequencies of 17 or more droughts per 100 years were found for the Central Plains, Southeast Coastal Plains, Western Mountains, and Western Xeric aggregated ecoregions. Drought duration and severity indicate spatial variability among the sites, but unlike drought frequency, do not show coherent spatial patterns. A comparison of an older period (1951–82) with a recent period (1983–2014) indicates few sites have statistically significant changes in drought frequency, drought duration, or drought severity at a 95-percent confidence level.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175099","isbn":"978-1-4113-4205-7","usgsCitation":"Austin, S.H., Wolock, D.M., and Nelms, D.L., 2018, Variability of hydrological droughts in the conterminous United States, 1951 through 2014: U.S. Geological Survey Scientific Investigations Report 2017–5099, 16 p., https://doi.org/10.3133/sir20175099.","productDescription":"Report: v, 16 p.; Data release","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063758","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":351816,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70C4T19","text":"USGS data 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 \"}}]}\n\n\n","contact":"<p><a href=\"mailto:dc_va@usgs.gov\" data-mce-href=\"mailto:dc_va@usgs.gov\">Director</a>, <a href=\"http://va.water.usgs.gov/\" data-mce-href=\"http://va.water.usgs.gov/\">Virginia Water Science Center</a><br> U.S. Geological Survey<br> 1730 East Parham Road<br> Richmond, VA 23228</p>","tableOfContents":"<ul><li>Abstract&nbsp;</li><li>Introduction</li><li>Methods of Study</li><li>Variability of Hydrological Droughts, 1951 Through 2014&nbsp;</li><li>Comparison of Findings from This Study with Findings from Previous Investigations</li><li>Limitations&nbsp;</li><li>Summary and Conclusions&nbsp;</li><li>Acknowledgments&nbsp;</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2018-02-22","noUsgsAuthors":false,"publicationDate":"2018-02-22","publicationStatus":"PW","scienceBaseUri":"5afee724e4b0da30c1bfc138","contributors":{"authors":[{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":724785,"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":503,"text":"Office of Water Quality","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":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":724786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelms, David L. 0000-0001-5747-642X dlnelms@usgs.gov","orcid":"https://orcid.org/0000-0001-5747-642X","contributorId":1892,"corporation":false,"usgs":true,"family":"Nelms","given":"David","email":"dlnelms@usgs.gov","middleInitial":"L.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724787,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195518,"text":"70195518 - 2018 - Delineating and identifying long-term changes in the whooping crane (Grus americana) migration corridor","interactions":[],"lastModifiedDate":"2018-02-20T12:46:47","indexId":"70195518","displayToPublicDate":"2018-02-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Delineating and identifying long-term changes in the whooping crane (<i>Grus americana</i>) migration corridor","title":"Delineating and identifying long-term changes in the whooping crane (Grus americana) migration corridor","docAbstract":"<p><span>Defining and identifying changes to seasonal ranges of migratory species is required for effective conservation. Historic sightings of migrating whooping cranes (</span><i>Grus americana</i><span>) have served as sole source of information to define a migration corridor in the Great Plains of North America (i.e., Canadian Prairies and United States Great Plains) for this endangered species. We updated this effort using past opportunistic sightings from 1942–2016 (</span><i>n</i><span><span>&nbsp;</span>= 5,055) and more recent (2010–2016) location data from 58 telemetered birds (</span><i>n</i><span><span>&nbsp;</span>= 4,423) to delineate migration corridors that included 50%, 75%, and 95% core areas. All migration corridors were well defined and relatively compact, with the 95% core corridor averaging 294 km wide, although it varied approximately ±40% in width from 170 km in central Texas to 407 km at the international border of the United States and Canada. Based on historic sightings and telemetry locations, we detected easterly movements in locations over time, primarily due to locations west of the median shifting east. This shift occurred from northern Oklahoma to central Saskatchewan at an average rate of 1.2 km/year (0.3–2.8 km/year). Associated with this directional shift was a decrease in distance of locations from the median in the same region averaging -0.7 km/year (-0.3–-1.3 km/year), suggesting a modest narrowing of the migration corridor. Changes in the corridor over the past 8 decades suggest that agencies and organizations interested in recovery of this species may need to modify where conservation and recovery actions occur. Whooping cranes showed apparent plasticity in their migratory behavior, which likely has been necessary for persistence of a wetland-dependent species migrating through the drought-prone Great Plains. Behavioral flexibility will be useful for whooping cranes to continue recovery in a future of uncertain climate and land use changes throughout their annual range.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0192737","usgsCitation":"Pearse, A.T., Rabbe, M., Juliusson, L.M., Bidwell, M.T., Craig-Moore, L., Brandt, D.A., and Harrell, W.C., 2018, Delineating and identifying long-term changes in the whooping crane (Grus americana) migration corridor: PLoS ONE, v. 13, no. 2, p. 1-15, https://doi.org/10.1371/journal.pone.0192737.","productDescription":"e0192737; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-090602","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0192737","text":"Publisher Index Page"},{"id":351820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-15","publicationStatus":"PW","scienceBaseUri":"5afee729e4b0da30c1bfc150","contributors":{"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":728990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rabbe, Matt","contributorId":202597,"corporation":false,"usgs":false,"family":"Rabbe","given":"Matt","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":728991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Juliusson, Lara M.","contributorId":202593,"corporation":false,"usgs":false,"family":"Juliusson","given":"Lara","email":"","middleInitial":"M.","affiliations":[{"id":36490,"text":"USFWS, Lakewood, CO","active":true,"usgs":false}],"preferred":false,"id":728992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bidwell, Mark T.","contributorId":202007,"corporation":false,"usgs":false,"family":"Bidwell","given":"Mark","email":"","middleInitial":"T.","affiliations":[{"id":36318,"text":"CWS","active":true,"usgs":false}],"preferred":false,"id":728993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Craig-Moore, Lea","contributorId":202595,"corporation":false,"usgs":false,"family":"Craig-Moore","given":"Lea","email":"","affiliations":[{"id":36491,"text":"Environment and Climate Change Canada, Saskatoon, SK","active":true,"usgs":false}],"preferred":false,"id":728994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brandt, David A. 0000-0001-9786-307X dbrandt@usgs.gov","orcid":"https://orcid.org/0000-0001-9786-307X","contributorId":149929,"corporation":false,"usgs":true,"family":"Brandt","given":"David","email":"dbrandt@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":728995,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harrell, Wade C.","contributorId":147143,"corporation":false,"usgs":false,"family":"Harrell","given":"Wade","email":"","middleInitial":"C.","affiliations":[{"id":16793,"text":"USFWS, Ecological Services, Austwell, TX","active":true,"usgs":false}],"preferred":false,"id":728996,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70195453,"text":"70195453 - 2018 - Molecular phylogeny of the Nearctic and Mesoamerican freshwater mussel genus Megalonaias","interactions":[],"lastModifiedDate":"2018-03-12T13:03:55","indexId":"70195453","displayToPublicDate":"2018-02-16T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Molecular phylogeny of the Nearctic and Mesoamerican freshwater mussel genus Megalonaias","docAbstract":"<p><i class=\"EmphasisTypeItalic \">Megalonaias</i><span><span>&nbsp;</span>is the most geographically widespread genus of the subfamily Ambleminae and is distributed across much of the eastern half of North America, from Minnesota to Nicaragua. Despite the large geographic distribution, the species-level diversity of<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Megalonaias</i><span><span>&nbsp;</span>is quite depauperate (2 spp.), suggesting the genus may not be constrained by the same physical, ecological, or physiological barriers that limit dispersal in many other amblemines. However, this hypothesis is contingent on the assumption that the current taxonomy of<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Megalonaias</i><span>accurately reflects its evolutionary history, which remains incompletely understood due to the marginalization of Mesoamerican populations in systematic research. Using one mitochondrial<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">(COI</i><span>) and one nuclear marker (</span><i class=\"EmphasisTypeItalic \">ITS1</i><span>) sequenced from 41 individuals distributed across both the Nearctic and Mesoamerican ecoregions, we set out to better understand the species boundaries and genetic diversity within<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Megalonaias</i><span>. The reconstructed molecular phylogeny and the observed genetic diversity suggests that<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Megalonaias</i><span><span>&nbsp;</span>is a monotypic genus and that<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Megalonaias nickliniana</i><span>, currently considered a federally endangered species, is not a valid species. These results are discussed in the context of their systematic and conservation implications, as well as how the unusual life history strategy of<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Megalonaias</i><span><span>&nbsp;</span>may be influencing its molecular diversity.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3441-7","usgsCitation":"Pfeiffer, J.M., Sharpe, A., Johnson, N.A., Emery, K.F., and Page, L.M., 2018, Molecular phylogeny of the Nearctic and Mesoamerican freshwater mussel genus Megalonaias: Hydrobiologia, v. 811, no. 1, p. 139-151, https://doi.org/10.1007/s10750-017-3441-7.","productDescription":"13 p.","startPage":"139","endPage":"151","ipdsId":"IP-087894","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":461037,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10750-017-3441-7","text":"Publisher Index Page"},{"id":351686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351685,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://www.ncbi.nlm.nih.gov/popset/?term=MF960169","linkHelpText":"Megalonaias nervosa internal transcribed spacer 1 and 5.8S ribosomal RNA gene, partial sequence"},{"id":351684,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://www.ncbi.nlm.nih.gov/popset/?term=%20MF960128","linkHelpText":"Megalonaias nervosa cytochrome oxidase subunit I (COI) gene, partial cds; mitochondrial"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.830078125,\n              13.581920900545844\n            ],\n            [\n              -77.607421875,\n              13.581920900545844\n            ],\n            [\n              -77.607421875,\n              49.439556958940855\n            ],\n            [\n              -110.830078125,\n              49.439556958940855\n            ],\n            [\n              -110.830078125,\n              13.581920900545844\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"811","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5afee72ce4b0da30c1bfc170","contributors":{"authors":[{"text":"Pfeiffer, John M. III","contributorId":148964,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"John","suffix":"III","email":"","middleInitial":"M.","affiliations":[{"id":17607,"text":"Cherokee Nation Technology Solutions, Contracted to U.S. Geological Survey, Southeast Ecological Science Center","active":true,"usgs":false}],"preferred":false,"id":728677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharpe, Ashley","contributorId":202520,"corporation":false,"usgs":false,"family":"Sharpe","given":"Ashley","email":"","affiliations":[{"id":36468,"text":"2Center for Tropical Paleoecology and Archaeology, Smithsonian Tropical Research Institute, Balboa-Ancon, Panama","active":true,"usgs":false}],"preferred":false,"id":728676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":728675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emery, Kitty F.","contributorId":202522,"corporation":false,"usgs":false,"family":"Emery","given":"Kitty","email":"","middleInitial":"F.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":728678,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Page, Lawrence M.","contributorId":202523,"corporation":false,"usgs":false,"family":"Page","given":"Lawrence","email":"","middleInitial":"M.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":728679,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196261,"text":"70196261 - 2018 - Temperature variations in the southern Great Lakes during the last deglaciation: Comparison between pollen and GDGT proxies","interactions":[],"lastModifiedDate":"2018-03-28T17:05:14","indexId":"70196261","displayToPublicDate":"2018-02-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Temperature variations in the southern Great Lakes during the last deglaciation: Comparison between pollen and GDGT proxies","docAbstract":"<p><span>Our understanding of deglacial climate history in the southern Great Lakes region of the United States is primarily based upon fossil pollen data, with few independent and multi-proxy climate reconstructions. Here we introduce a new, well-dated fossil pollen record from Stotzel-Leis, OH, and a new deglacial temperature record based on branched glycerol dialkyl glycerol tetraethers (brGDGTs) at Silver Lake, OH. We compare these new data to previously published records and to a regional stack of pollen-based temperature reconstructions from Stotzel-Leis, Silver Lake, and three other well-dated sites. The new and previously published pollen records at Stotzel-Leis are similar, but our new age model brings vegetation events into closer alignment with known climatic events such as the Younger Dryas (YD). brGDGT-inferred temperatures correlate strongly with pollen-based regional temperature reconstructions, with the strongest correlation obtained for a global soil-based brGDGT calibration (r</span><sup>2</sup><span> = 0.88), lending confidence to the deglacial reconstructions and the use of brGDGT and regional pollen stacks as paleotemperature proxies in eastern North America. However, individual pollen records show large differences in timing, rates, and amplitudes of inferred temperature change, indicating caution with paleoclimatic inferences based on single-site pollen records. From 16.0 to 10.0ka, both proxies indicate that regional temperatures rose by ∼10 °C, roughly double the ∼5 °C estimates for the Northern Hemisphere reported in prior syntheses. Change-point analysis of the pollen stack shows accelerated warming at 14.0 ± 1.2ka, cooling at 12.6 ± 0.4ka, and warming from 11.6 ± 0.5ka into the Holocene. The timing of Bølling-Allerød (B-A) warming and YD onset in our records lag by ∼300–500 years those reported in syntheses of temperature records from the northern mid-latitudes. This discrepancy is too large to be attributed to uncertainties in radiocarbon dating, and correlation between pollen and brGDGT temperature reconstructions rules out vegetation lags as a cause. However, the YD termination appears synchronous among the brGDGT record, regional pollen stack, and Northern Hemisphere stack. The cause of the larger and lagged temperature changes in the southern Great Lakes relative to Northern Hemisphere averages remains unclear, but may be due to the effects of continentality and ice sheet extent on regional climate evolution.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.12.011","usgsCitation":"Watson, B.I., Williams, J.W., Russell, J.M., Jackson, S.T., Shane, L., and Lowell, T.V., 2018, Temperature variations in the southern Great Lakes during the last deglaciation: Comparison between pollen and GDGT proxies: Quaternary Science Reviews, v. 182, p. 78-92, https://doi.org/10.1016/j.quascirev.2017.12.011.","productDescription":"15 p.","startPage":"78","endPage":"92","ipdsId":"IP-088633","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":468997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2017.12.011","text":"Publisher Index Page"},{"id":352887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"182","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee72de4b0da30c1bfc180","contributors":{"authors":[{"text":"Watson, Benjamin I.","contributorId":203629,"corporation":false,"usgs":false,"family":"Watson","given":"Benjamin","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":731980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John W.","contributorId":16761,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":731981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russell, James M.","contributorId":174740,"corporation":false,"usgs":false,"family":"Russell","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":27506,"text":"Department of Earth, Environmental and Planetary Sciences, Brown University, Providence RI 02912 USA","active":true,"usgs":false}],"preferred":false,"id":731982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":731921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shane, Linda","contributorId":203630,"corporation":false,"usgs":false,"family":"Shane","given":"Linda","email":"","affiliations":[],"preferred":false,"id":731983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowell, Thomas V.","contributorId":203631,"corporation":false,"usgs":false,"family":"Lowell","given":"Thomas","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":731984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194443,"text":"sir20175150 - 2018 - Postglacial eruptive history and geochemistry of Semisopochnoi volcano, western Aleutian Islands, Alaska","interactions":[],"lastModifiedDate":"2019-12-30T11:27:36","indexId":"sir20175150","displayToPublicDate":"2018-02-14T00:00:00","publicationYear":"2018","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":"2017-5150","title":"Postglacial eruptive history and geochemistry of Semisopochnoi volcano, western Aleutian Islands, Alaska","docAbstract":"<p>Semisopochnoi Island, located in the Rat Islands group of the western Aleutian Islands and Aleutian volcanic arc, is a roughly circular island composed of scattered volcanic vents, the prominent caldera of Semisopochnoi volcano, and older, ancestral volcanic rocks. The oldest rocks on the island are gently radially dipping lavas that are the remnants of a shield volcano and of Ragged Top, which is an eroded stratocone southeast of the current caldera. None of these oldest rocks have been dated, but they all are likely Pleistocene in age. Anvil Peak, to the caldera’s north, has the morphology of a young stratocone and is latest Pleistocene to early Holocene in age. The oldest recognized Holocene deposits are those of the caldera-forming eruption, which produced the 7- by 6-km caldera in the center of the island, left nonwelded ignimbrite in valleys below the edifice, and left welded ignimbrite high on its flanks. The caldera-forming eruption produced rocks showing a range of intermediate whole-rock compositions throughout the eruption sequence, although a majority of clasts analyzed form a fairly tight cluster on SiO<sub>2</sub>-variation diagrams at 62.9 to 63.4 weight percent SiO<sub>2</sub>. This clustering of compositions at about 63 weight percent SiO<sub>2</sub> includes black, dense, obsidian-like clasts, as well as tan, variably oxidized, highly inflated pumice clasts. The best estimate for the timing of the eruption is from a soil dated at 6,920±60 <sup>14</sup>C years before present underlying a thin facies of the ignimbrite deposit on the island’s north coast. Shortly after the caldera-forming eruption, two scoria cones on the northwest flank of the volcano outside the caldera, Ringworm crater and Threequarter Cone, simultaneously erupted small volumes of andesite.</p><p>The oldest intracaldera lavas, on the floor of the caldera, are andesitic to dacitic, but are mostly covered by younger lavas and tephras. These intracaldera lavas include the basaltic andesites of small Windy cone, as well as the more voluminous basaltic andesites of three-peaked Mount Cerberus, which takes up most of the west half of the caldera and has erupted lavas that flowed to the sea on the southwestern coast of the island. Apparently active at the same time as Mount Cerberus, extracaldera Sugarloaf Peak at the southern point of the island has exclusively erupted basalts. Its young satellite peak, Sugarloaf Head, has erupted morphologically young lavas and cinder cones and may be the source of the last&nbsp;historical eruption in 1987. Several tephra sections on the east half of the island record as many as 50 tephras, mostly from Mount Cerberus, Sugarloaf Peak, and Sugarloaf Head, over the past several thousand years.</p><p>Eruptive products of Semisopochnoi Island show an overall compositional range of basalt to dacite, though basaltic andesite and andesite constitute the largest proportions of rock types. They are tholeiitic, low to medium K, and have geochemical characteristics typical of magmatic arcs. The earliest Pleistocene lavas are mostly basalts that show the greatest geochemical diversity, as illustrated by, for example, La<sub>N</sub>/Yb<sub>N</sub> ratios of 1.9 to 3.5, suggesting fluctuations in the magma source region over the hundreds of thousands of years recorded by these older lavas. The Holocene rocks, in contrast, follow arrays in compositional space that suggest crystallization differentiation from discrete, subtly different batches of magma under varying pressure and temperature conditions. Increasingly negative Eu anomalies and an only modestly increasing alumina saturation index value with differentiation suggest that plagioclase and mafic silicates (amphibole and pyroxene) were involved to varying degrees in fractional crystallization to produce Semisopochnoi’s magmatic diversity. The crystal-poor, andesitic magmas that erupted during caldera formation likely separated from a plagioclase-, amphibole-, and clinopyroxene-dominated crystal residue in the upper crust at less than 900 °C, possibly following a period of decreased magmatic flux. During the Holocene, basaltic Sugarloaf Peak appears to bypass any upper crustal magmatic storage region and erupt crystal-rich basalts. Recent seismic swarms and long-lived warm springs attest to ongoing magmatic activity.</p><p>The Holocene eruptive record at Semisopochnoi volcano is one of diverse eruptive styles as well as frequent eruptions from multiple vents located within and outside the caldera. The number and diversity of postcaldera vents means that the sites of future eruptions cannot be predicted with certainty. Future eruptions of ash similar in magnitude to the VEI 3 or less eruptions recorded in the documented tephra deposits would pose a hazard to aircraft in the region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175150","usgsCitation":"Coombs, M.L., Larsen, J.F., and Neal, C.A., 2018, Postglacial eruptive history and geochemistry of Semisopochnoi volcano, western Aleutian Islands, Alaska: U.S. Geological Survey Scientific Investigations Report 2017–5150, 33 p., https://doi.org/10.3133/sir20175150.","productDescription":"Report: iv, 33 p.; 2 Tables","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-067229","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":438015,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P925UXOR","text":"USGS data release","linkHelpText":"Digital geologic map data for Semisopochnoi Island, Alaska"},{"id":351618,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5150/sir20175150_table2.xlsx","text":"Table 2","size":"65 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017-5150","linkHelpText":" - Matrix-glass compositions of pyroclasts from Semisopochnoi volcano and Amchitka Island, Alaska, as determined by electron microprobe"},{"id":351617,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2017/5150/sir20175150_table1.xlsx","text":"Table 1","size":"100 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017-5150","linkHelpText":" - Whole-rock compositions, locations, and descriptions of lava and tephra samples from Semisopochnoi Island, Alaska"},{"id":351615,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5150/coverthb.jpg"},{"id":351616,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5150/sir20175150.pdf","text":"Report","size":"15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5150"}],"country":"United States","state":"Alaska","otherGeospatial":"Semisopochnoi Volcano","contact":"<p><a href=\"https://avo.alaska.edu/\" data-mce-href=\"https://avo.alaska.edu/\">Alaska Volcano Observatory</a><br><a href=\"https://usgs.gov\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Semisopochnoi Island<br></li><li>Analytical Methods and Data Compilation<br></li><li>Compositional Overview<br></li><li>Precaldera Eruptive Products<br></li><li>Products of the Caldera-Forming Eruption<br></li><li>Postcaldera Deposits and History<br></li><li>Discussion<br></li><li>Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-02-14","noUsgsAuthors":false,"publicationDate":"2018-02-14","publicationStatus":"PW","scienceBaseUri":"5afee72fe4b0da30c1bfc194","contributors":{"authors":[{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":723838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, Jessica F.","contributorId":200930,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":723840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, Christina A. 0000-0002-7697-7825 tneal@usgs.gov","orcid":"https://orcid.org/0000-0002-7697-7825","contributorId":639,"corporation":false,"usgs":true,"family":"Neal","given":"Christina","email":"tneal@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":723839,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195389,"text":"70195389 - 2018 - Iterative near-term ecological forecasting: Needs, opportunities, and challenges","interactions":[],"lastModifiedDate":"2020-09-01T14:24:32.599572","indexId":"70195389","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Iterative near-term ecological forecasting: Needs, opportunities, and challenges","docAbstract":"<p><span>Two foundational questions about sustainability are “How are ecosystems and the services they provide going to change in the future?” and “How do human decisions affect these trajectories?” Answering these questions requires an ability to forecast ecological processes. Unfortunately, most ecological forecasts focus on centennial-scale climate responses, therefore neither meeting the needs of near-term (daily to decadal) environmental decision-making nor allowing comparison of specific, quantitative predictions to new observational data, one of the strongest tests of scientific theory. Near-term forecasts provide the opportunity to iteratively cycle between performing analyses and updating predictions in light of new evidence. This iterative process of gaining feedback, building experience, and correcting models and methods is critical for improving forecasts. Iterative, near-term forecasting will accelerate ecological research, make it more relevant to society, and inform sustainable decision-making under high uncertainty and adaptive management. Here, we identify the immediate scientific and societal needs, opportunities, and challenges for iterative near-term ecological forecasting. Over the past decade, data volume, variety, and accessibility have greatly increased, but challenges remain in interoperability, latency, and uncertainty quantification. Similarly, ecologists have made considerable advances in applying computational, informatic, and statistical methods, but opportunities exist for improving forecast-specific theory, methods, and cyberinfrastructure. Effective forecasting will also require changes in scientific training, culture, and institutions. The need to start forecasting is now; the time for making ecology more predictive is here, and learning by doing is the fastest route to drive the science forward.</span></p>","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1710231115","usgsCitation":"Dietze, M., Fox, A., Beck-Johnson, L., Betancourt, J.L., Hooten, M., Jarnevich, C.S., Keitt, T.H., Kenney, M.A., Laney, C.M., Larsen, L., Loescher, H.W., Lunch, C.K., Pijanowski, B., Randerson, J.T., Read, E., Tredennick, A.T., Vargas, R., Weathers, K.C., and White, E.P., 2018, Iterative near-term ecological forecasting: Needs, opportunities, and challenges: Proceedings of the National Academy of Sciences of the United States of America, v. 115, no. 7, p. 1424-1432, https://doi.org/10.1073/pnas.1710231115.","productDescription":"9 p.","startPage":"1424","endPage":"1432","ipdsId":"IP-087870","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469004,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1710231115","text":"External Repository"},{"id":351515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","scienceBaseUri":"5afee730e4b0da30c1bfc19e","contributors":{"authors":[{"text":"Dietze, Mike","contributorId":190102,"corporation":false,"usgs":false,"family":"Dietze","given":"Mike","email":"","affiliations":[],"preferred":false,"id":728347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fox, Andrew","contributorId":190103,"corporation":false,"usgs":false,"family":"Fox","given":"Andrew","affiliations":[],"preferred":false,"id":728348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck-Johnson, Lindsay","contributorId":202412,"corporation":false,"usgs":false,"family":"Beck-Johnson","given":"Lindsay","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":728349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":728346,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":728350,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":728351,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keitt, Timothy H.","contributorId":202413,"corporation":false,"usgs":false,"family":"Keitt","given":"Timothy","email":"","middleInitial":"H.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":728352,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kenney, Melissa A.","contributorId":202414,"corporation":false,"usgs":false,"family":"Kenney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":728353,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Laney, Christine M.","contributorId":202415,"corporation":false,"usgs":false,"family":"Laney","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":36423,"text":"Battelle","active":true,"usgs":false}],"preferred":false,"id":728354,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Larsen, Laurel G.","contributorId":191391,"corporation":false,"usgs":false,"family":"Larsen","given":"Laurel G.","affiliations":[],"preferred":false,"id":728355,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Loescher, Henry W.","contributorId":146136,"corporation":false,"usgs":false,"family":"Loescher","given":"Henry","email":"","middleInitial":"W.","affiliations":[{"id":16596,"text":"National Ecological Observatory Network Inc and Institute of Alpine and Arctic Research, University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":728356,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lunch, Claire K.","contributorId":202416,"corporation":false,"usgs":false,"family":"Lunch","given":"Claire","email":"","middleInitial":"K.","affiliations":[{"id":36423,"text":"Battelle","active":true,"usgs":false}],"preferred":false,"id":728357,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pijanowski, Bryan","contributorId":190108,"corporation":false,"usgs":false,"family":"Pijanowski","given":"Bryan","affiliations":[],"preferred":false,"id":728358,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Randerson, James T.","contributorId":190109,"corporation":false,"usgs":false,"family":"Randerson","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":728359,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Read, Emily 0000-0002-9617-9433 eread@usgs.gov","orcid":"https://orcid.org/0000-0002-9617-9433","contributorId":190110,"corporation":false,"usgs":true,"family":"Read","given":"Emily","email":"eread@usgs.gov","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":728360,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tredennick, Andrew T.","contributorId":152688,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","email":"","middleInitial":"T.","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":728361,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Vargas, Rodrigo","contributorId":172036,"corporation":false,"usgs":false,"family":"Vargas","given":"Rodrigo","affiliations":[],"preferred":false,"id":728362,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Weathers, Kathleen C.","contributorId":202417,"corporation":false,"usgs":false,"family":"Weathers","given":"Kathleen","email":"","middleInitial":"C.","affiliations":[{"id":36424,"text":"Cary Institute of Ecosystems Studies","active":true,"usgs":false}],"preferred":false,"id":728363,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"White, Ethan P.","contributorId":190112,"corporation":false,"usgs":false,"family":"White","given":"Ethan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":728364,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70217882,"text":"70217882 - 2018 - Results of the 2010-2011 East-Central Adirondack Stream Survey (ECASS)","interactions":[],"lastModifiedDate":"2021-02-09T13:39:27.05271","indexId":"70217882","displayToPublicDate":"2018-02-09T07:35:58","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Results of the 2010-2011 East-Central Adirondack Stream Survey (ECASS)","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"New York State Energy Research and Development Authority","collaboration":"New York State Energy Research and Development Authority","usgsCitation":"Lawrence, G.B., George, S.D., Burns, D., Baldigo, B.P., Passy, S., Roy, K.M., and Pound, K.L., 2018, Results of the 2010-2011 East-Central Adirondack Stream Survey (ECASS), ix, 89 p.","productDescription":"ix, 89 p.","ipdsId":"IP-098505","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":383154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383153,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nyserda.ny.gov/About/Publications/Research-and-Development-Technical-Reports/Environmental-Research-and-Development-Technical-Reports"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.69580078125001,\n              43.77109381775648\n            ],\n            [\n              -75.06958007812501,\n              42.988576458321816\n            ],\n            [\n              -73.32275390625,\n              43.11702412135048\n            ],\n            [\n              -73.1689453125,\n              45.07352060670971\n            ],\n            [\n              -74.89379882812501,\n              44.91035917458492\n            ],\n            [\n              -75.69580078125001,\n              43.77109381775648\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":810028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Passy, Sophia","contributorId":248812,"corporation":false,"usgs":false,"family":"Passy","given":"Sophia","affiliations":[{"id":50025,"text":"Associate Professor, University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":810025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roy, Karen M.","contributorId":204095,"corporation":false,"usgs":false,"family":"Roy","given":"Karen","email":"","middleInitial":"M.","affiliations":[{"id":36838,"text":"Division of Air Resources, New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":810024,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pound, Katrina L.","contributorId":248833,"corporation":false,"usgs":false,"family":"Pound","given":"Katrina","email":"","middleInitial":"L.","affiliations":[{"id":50034,"text":"University of Texas, Arlington","active":true,"usgs":false}],"preferred":false,"id":810026,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70195341,"text":"70195341 - 2018 - Mercury concentrations in multiple tissues of Kittlitz's murrelets (Brachyramphus brevirostris)","interactions":[],"lastModifiedDate":"2018-04-27T16:43:08","indexId":"70195341","displayToPublicDate":"2018-02-08T00:00:00","publicationYear":"2018","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}},"displayTitle":"Mercury concentrations in multiple tissues of Kittlitz's murrelets (<i>Brachyramphus brevirostris</i>)","title":"Mercury concentrations in multiple tissues of Kittlitz's murrelets (Brachyramphus brevirostris)","docAbstract":"Mercury (Hg) is a non-essential, toxic metal that is distributed worldwide. Mercury biomagnifies in food webs and can threaten the health of top predators such as seabirds. The Kittlitz's murrelet (Brachyramphus brevirostris) is a seabird endemic to Alaska and the Russian Far East and is a species of conservation concern in the region. We determined Hg concentrations in eggshells, guano, blood, and feathers of Kittlitz's murrelets sampled from four locations in Alaska. Mercury concentrations in eggshells, guano, and blood were low compared to other seabird species. Mean Hg concentrations of breast feathers from Adak Island and Glacier Bay were significantly greater than those from Agattu Island or Icy Bay. Two Kittlitz's murrelets at Glacier Bay and one Kittlitz's murrelet at Adak Island had Hg concentrations above those associated with impaired reproduction in other bird species, and may merit further investigation as a potential threat to individuals and populations.","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2017.10.055","usgsCitation":"Kenney, L.A., Kaler, R.S., Kissling, M.L., Bond, A.L., and Eagles-Smith, C.A., 2018, Mercury concentrations in multiple tissues of Kittlitz's murrelets (Brachyramphus brevirostris): Marine Pollution Bulletin, v. 129, no. 2, p. 675-680, https://doi.org/10.1016/j.marpolbul.2017.10.055.","productDescription":"6 p.","startPage":"675","endPage":"680","ipdsId":"IP-079784","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":351386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -187.55859375,\n              51.069016659603896\n            ],\n            [\n              -135.263671875,\n              51.069016659603896\n            ],\n            [\n              -135.263671875,\n              60.84491057364912\n            ],\n            [\n              -187.55859375,\n              60.84491057364912\n            ],\n            [\n              -187.55859375,\n              51.069016659603896\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"129","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7d6ff8e4b00f54eb24416e","contributors":{"authors":[{"text":"Kenney, Leah A.","contributorId":202222,"corporation":false,"usgs":false,"family":"Kenney","given":"Leah","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":727906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaler, Robb S.","contributorId":202223,"corporation":false,"usgs":false,"family":"Kaler","given":"Robb","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":727907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kissling, Michelle L.","contributorId":172675,"corporation":false,"usgs":false,"family":"Kissling","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":727908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bond, Alexander L.","contributorId":202224,"corporation":false,"usgs":false,"family":"Bond","given":"Alexander","email":"","middleInitial":"L.","affiliations":[{"id":36373,"text":"Ardenna Research","active":true,"usgs":false}],"preferred":false,"id":727909,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":727905,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194701,"text":"sir20175151 - 2018 - Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico","interactions":[],"lastModifiedDate":"2018-02-07T17:11:00","indexId":"sir20175151","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","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":"2017-5151","title":"Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Bureau of Land Management, conducted a study to assess the water resources and potential effects on the water resources from oil and gas development in the Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area.</p><p>The Tri-County planning area includes approximately 9.3&nbsp;million acres and is within the eastern extent of the Basin and Range Province, which consists of mountain ranges and low elevation basins. Three specific areas of interest within the Tri-County planning area are the Jornada del Muerto, Tularosa Basin, and Otero Mesa, which is adjacent to the Salt Basin. Surface-water resources are limited in the Tri-County planning area, with the Rio Grande as the main perennial river flowing from north to south through Sierra and Doña Ana Counties. The Tularosa Creek is an important surface-water resource in the Tularosa Basin. The Sacramento River, which flows southeast out of the Sacramento Mountains, is an important source of recharge to aquifers in the Salt Basin. Groundwater resources vary in aquifer type, depth to water, and water quality. For example, the Jornada del Muerto, Tularosa Basin, and Salt Basin each have shallow and deep aquifer systems, and water can range from freshwater, with less than 1,000&nbsp;milligrams per liter (mg/L) of total dissolved solids, to brine, with greater than 35,000 mg/L of total dissolved solids. Water quality in the Tri-County planning area is affected by the dissolution of salt deposits and evaporation which are common in arid regions such as southern New Mexico. </p><p>The potential for oil and gas development exists in several areas within the Tri-County area. As many as 81 new conventional wells and 25 coalbed natural gas wells could be developed by 2035. Conventional oil and gas well construction in the Tri-County planning area is expected to require 1.53 acre-feet (acre-ft) (500,000 gallons) of water per well, similar to requirements in the nearby Permian Basin of New Mexico, while construction of unconventional wells is expected to require 7.3 acre-ft of water per well. Produced waters in the Permian Basin have high total dissolved solids, in the brackish to brine range.</p><p>Data gaps identified in this study include the limited detailed data on surface-water resources, the lack of groundwater data in areas of interest, and the lack of water chemistry data related to oil and gas development issues. Surface waters in the Tri-County planning area are sparse; some streams are perennial, and most are ephemeral. A more detailed study of the ephemeral channels and their interaction with groundwater could provide a better understanding of the importance of these surface-water resources. Groundwater data used in this study are from the USGS National Water Information System, which does not have continuous water-level depth data at many of the sites in the Tri-County planning area. On Otero Mesa, no recurrent groundwater-level data are available at any one site. The water-quality data compiled in this study provide a good overview of the general chemistry of groundwater in the Tri-County planning area. To fully understand the groundwater resources, it would be helpful to have more wells in specific areas of interest for groundwater-level and water-quality measurements.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175151","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Blake, J.M., Miltenberger, Keely, Stewart, Anne, Ritchie, Andre, Montoya, Jennifer, Durr, Corey, McHugh, Amy, and Charles, Emmanuel, 2018, Assessment of water resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico: U.S. Geological Survey Scientific Investigations Report 2017–5151, 87 p., https://doi.org/10.3133/sir20175151. ","productDescription":"Report: x, 87 p.; Data Release","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-085998","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":351050,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5151/coverthb.jpg"},{"id":351051,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5151/sir20175151.pdf","text":"Report","size":"12.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5151"},{"id":351052,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DR2T0M","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Geodatabase supporting the assessment of hydrologic resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County Planning Area, Sierra, Doña Ana, and Otero Counties, New 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,{"id":70195195,"text":"70195195 - 2018 - Floodplain trapping and cycling compared to streambank erosion of sediment and nutrients in an agricultural watershed","interactions":[],"lastModifiedDate":"2018-04-02T13:51:41","indexId":"70195195","displayToPublicDate":"2018-02-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Floodplain trapping and cycling compared to streambank erosion of sediment and nutrients in an agricultural watershed","docAbstract":"<p><span>Floodplains and streambanks can positively and negatively influence downstream water quality through interacting geomorphic and biogeochemical processes. Few studies have measured those processes in agricultural watersheds. We measured inputs (floodplain sedimentation and dissolved inorganic loading), cycling (floodplain soil nitrogen [N] and phosphorus [P] mineralization), and losses (bank erosion) of sediment, N, and P longitudinally in stream reaches of Smith Creek, an agricultural watershed in the Valley and Ridge physiographic province. All study reaches were net depositional (floodplain deposition&nbsp;&gt;&nbsp;bank erosion), had high N and P sedimentation and loading rates to the floodplain, high soil concentrations of N and P, and high rates of floodplain soil N and P mineralization. High sediment, N, and P inputs to floodplains are attributed to agricultural activity in the region. Rates of P mineralization were much greater than those measured in other studies of nontidal floodplains that used the same method. Floodplain connectivity and sediment deposition decreased longitudinally, contrary to patterns in most watersheds. The net trapping function of Smith Creek floodplains indicates a benefit to water quality. Further research is needed to determine if future decreases in floodplain deposition, continued bank erosion, and the potential for nitrate leaching from nutrient-enriched floodplain soils could pose a long-term source of sediment and nutrients to downstream rivers.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12624","usgsCitation":"Gillespie, J., Noe, G.E., Hupp, C.R., Gellis, A.C., and Schenk, E., 2018, Floodplain trapping and cycling compared to streambank erosion of sediment and nutrients in an agricultural watershed: Journal of the American Water Resources Association, v. 54, no. 2, p. 565-582, https://doi.org/10.1111/1752-1688.12624.","productDescription":"18 p.","startPage":"565","endPage":"582","ipdsId":"IP-081496","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":438021,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z036BD","text":"USGS data release","linkHelpText":"Floodplain sedimentation, bank erosion, and biogeochemical cycling of sediment and nutrients in Smith Creek (Virginia) 2012-2015"},{"id":351245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.8667,\n              38.4167\n            ],\n            [\n              -78.55,\n              38.4167\n            ],\n            [\n              -78.55,\n              38.7333\n            ],\n            [\n              -78.8667,\n              38.7333\n            ],\n            [\n              -78.8667,\n              38.4167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-22","publicationStatus":"PW","scienceBaseUri":"5a7c1e6ce4b00f54eb229289","contributors":{"authors":[{"text":"Gillespie, Jaimie 0000-0002-6483-0359","orcid":"https://orcid.org/0000-0002-6483-0359","contributorId":202016,"corporation":false,"usgs":true,"family":"Gillespie","given":"Jaimie","email":"","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":727380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":727381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":727382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":727383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schenk, Edward R.","contributorId":202017,"corporation":false,"usgs":false,"family":"Schenk","given":"Edward R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":727384,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195031,"text":"70195031 - 2018 - Regional variability of nitrate fluxes in the unsaturated zone and groundwater, Wisconsin, USA","interactions":[],"lastModifiedDate":"2018-02-22T12:49:24","indexId":"70195031","displayToPublicDate":"2018-02-06T00:00:00","publicationYear":"2018","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":"Regional variability of nitrate fluxes in the unsaturated zone and groundwater, Wisconsin, USA","docAbstract":"Process-based modeling of regional NO3− fluxes to groundwater is critical for understanding and managing water quality, but the complexity of NO3− reactive transport processes make implementation a challenge. This study introduces a regional vertical flux method (VFM) for efficient estimation of reactive transport of NO3− in the vadose zone and groundwater. The regional VFM was applied to 443 well samples in central-eastern Wisconsin. Chemical measurements included O2, NO3−, N2 from denitrification, and atmospheric tracers of groundwater age including carbon-14, chlorofluorocarbons, tritium, and tritiogenic helium. VFM results were consistent with observed chemistry, and calibrated parameters were in-line with estimates from previous studies. Results indicated that (1) unsaturated zone travel times were a substantial portion of the transit time to wells and streams (2) since 1945 fractions of applied N leached to groundwater have increased for manure-N, possibly due to increased injection of liquid manure, and decreased for fertilizer-N, and (3) under current practices and conditions, approximately 60% of the shallow aquifer will eventually be affected by downward migration of NO3−, with denitrification protecting the remaining 40%. Recharge variability strongly affected the unsaturated zone lag times and the eventual depth of the NO3− front. Principal components regression demonstrated that VFM parameters and predictions were significantly correlated with hydrogeochemical landscape features. The diverse and sometimes conflicting aspects of N management (e.g. limiting N volatilization versus limiting N losses to groundwater) warrant continued development of large-scale holistic strategies to manage water quality and quantity.","language":"English","publisher":"AGU","doi":"10.1002/2017WR022012","usgsCitation":"Green, C., Liao, L., Nolan, B.T., Juckem, P.F., Shope, C.L., Tesoriero, A.J., and Jurgens, B.C., 2018, Regional variability of nitrate fluxes in the unsaturated zone and groundwater, Wisconsin, USA: Water Resources Research, v. 54, no. 1, p. 301-322, https://doi.org/10.1002/2017WR022012.","productDescription":"22 p.","startPage":"301","endPage":"322","ipdsId":"IP-086033","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr022012","text":"Publisher Index 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0000-0003-2513-0680","orcid":"https://orcid.org/0000-0003-2513-0680","contributorId":201643,"corporation":false,"usgs":true,"family":"Liao","given":"Lixia","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":726653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nolan, Bernard T. 0000-0002-6945-9659 btnolan@usgs.gov","orcid":"https://orcid.org/0000-0002-6945-9659","contributorId":2190,"corporation":false,"usgs":true,"family":"Nolan","given":"Bernard","email":"btnolan@usgs.gov","middleInitial":"T.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":726654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","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":726655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shope, Christopher L. cshope@usgs.gov","contributorId":5016,"corporation":false,"usgs":true,"family":"Shope","given":"Christopher","email":"cshope@usgs.gov","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726656,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":195265,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":726657,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127842,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","email":"bjurgens@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726658,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194995,"text":"ofr20181014 - 2018 - Relations between total phosphorus and orthophosphorus concentrations and rainfall, surface-water discharge, and groundwater levels in Big Cypress Seminole Indian Reservation, Florida, 2014–16","interactions":[],"lastModifiedDate":"2018-02-07T10:51:43","indexId":"ofr20181014","displayToPublicDate":"2018-02-06T00:00:00","publicationYear":"2018","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":"2018-1014","title":"Relations between total phosphorus and orthophosphorus concentrations and rainfall, surface-water discharge, and groundwater levels in Big Cypress Seminole Indian Reservation, Florida, 2014–16","docAbstract":"<p>The Seminole Tribe of Florida (the Tribe) is partnering with the U.S. Environmental Protection Agency to develop a numeric phosphorus criterion for the 52,000-acre Big Cypress Seminole Indian Reservation (BCSIR), which is located downgradient of the Everglades Agricultural Area, and of other public and private lands, in southeastern Hendry County and northwestern Broward County in southern Florida. The U.S. Geological Survey (USGS), in cooperation with the Tribe, used water-quality data collected between October 2014 and September 2016 by the Tribe and the South Florida Water Management District (SFWMD), along with data from rainfall gages, surface-water stage and discharge gages, and groundwater monitoring wells, to (1) examine the relations between local hydrology and measured total phosphorus (TP) and orthophosphorus (OP) concentrations and (2) identify explanatory variables for TP concentrations. Of particular concern were conditions when TP exceeded 10 parts per billion (ppb) (0.01 milligram per liter [mg/L]) given that the State of Florida and the Miccosukee Tribe of Indians Alligator Alley Reservation (located downstream of the BCSIR) have adopted a 10-ppb maximum TP criterion for surface waters.</p><p>From October 2014 to September 2016, the Tribe collected 47–52 samples at each of nine water-quality sites for analysis of TP and OP, except at one site where 28 samples were collected. For all sites sampled, concentrations of TP (as phosphorus [P]) ranged from less than 0.002 mg/L (2 ppb) to a maximum of nearly 0.50 mg/L (500 ppb), whereas concentrations of OP (as P), the reactive form of inorganic phosphorus readily absorbed by plants and (or) abiotically absorbed, ranged from less than 0.003 mg/L (3 ppb) to a maximum of 0.24 mg/L (240 ppb). The median and interquartile ranges of concentrations of TP and OP in the samples collected in 2014–16 by the Tribe were similar to the median and interquartile ranges of concentrations in samples collected by the SFWMD at nearby sites during the same period. Differences in concentrations can likely be explained by differences in sample collection methods, sampling locations, sample collection time, and the hydrology during sampling or by the number of samples collected. A major limitation of this study was the short duration of sample collection, which covers a limited range of hydrologic conditions within the BCSIR.</p><p>The effect of surface-water and groundwater hydrologic conditions on TP and OP concentrations was assessed by using rainfall data and surface-water stage and discharge records. The highest TP and OP concentrations occurred during peak surface-water flows in the canals following long dry periods. Concentrations of TP and OP increased internal to the BCSIR in the western half of the BCSIR during wet periods, but increased concentrations tended to lag behind rainfall events, likely because control structures upstream of sampling sites do not release flows until the water levels in the canals reach predetermined levels. This pattern may indicate that bed sediments in the canals contain high concentrations of phosphorus that becomes resuspended during high flows or that phosphorus salts that had accumulated on dry land during dry periods are carried into the canals by runoff. The largest TP spikes usually occurred at the beginning of high-flow events, but then quickly tapered off even when flows remained high.</p><p>Groundwater flows were assessed in the BCSIR by using groundwater level observations from two preexisting USGS monitoring well clusters, each characterized by a shallow well installed in the surficial aquifer system and a deeper well installed in the intermediate aquifer system. Groundwater levels were evaluated with respect to surface-water levels and discharge in the BCSIR during the period of surface-water&nbsp;sampling. During dry conditions water levels in canals were often higher than groundwater levels in the surficial aquifer, indicating the potential for surface water to recharge the surficial aquifer. During wetter conditions, this trend reversed, and there was potential for shallow groundwater discharge into the canals.</p><p>From October 2014 to September 2016, concentrations of TP tended to decrease as surface-water inflows moved across the BCSIR from north to south. In both the western and eastern halves of the reservation, the mean concentration of TP was lower in the surface-water outflows from the BCSIR than in the inflows. The mean concentration of TP in the inflows to the western reservation was 0.04 mg/L (40 ppb), whereas the mean concentration of TP in the outflows was 0.03 mg/L (30 ppb). In the eastern reservation, the mean concentration of TP in the inflows was 0.07 mg/L (70 ppb), whereas the mean concentration of TP in the outflows was 0.04 mg/L (40 ppb).</p><p>TP and OP concentrations were evaluated relative to other water-quality parameters, including turbidity, suspended solids, nitrate plus nitrite, dissolved oxygen, pH, and specific conductance, to determine if any relations existed between TP and other variables. Weak relations were indicated for turbidity and suspended solids at two sites, which indicates that there may be a relation of increased TP to mobilization of sediment.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181014","collaboration":"Prepared in cooperation with the Seminole Tribe of Florida","usgsCitation":"McBride, W.S., and Sifuentes, D.F., 2018, Relations between total phosphorus and orthophosphorus concentrations and rainfall, surface-water discharge, and groundwater levels in Big Cypress Seminole Indian Reservation, Florida, 2014–16: U.S. Geological Survey Open File Report 2018–1014, 63 p., https://doi.org/10.3133/ofr20181014.","productDescription":"xi, 63 p.","numberOfPages":"79","onlineOnly":"Y","ipdsId":"IP-086087","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":351046,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1014/ofr20181014.pdf","text":"Report","size":"6.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018–1014"},{"id":351045,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1014/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress Seminole Indian Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.8333,\n              26.1667\n            ],\n            [\n              -81.0833,\n              26.1667\n            ],\n            [\n              -81.0833,\n              26.4167\n            ],\n            [\n              -80.8333,\n              26.4167\n            ],\n            [\n              -80.8333,\n              26.1667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www2.usgs.gov/water/caribbeanflorida/\" data-mce-href=\"https://www2.usgs.gov/water/caribbeanflorida/\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>4446 Pet Lane <br>Lutz, FL 33559<br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Analysis of Total Phosphorus and Orthophosphorus Data<br></li><li>Relations Between Total Phosphorus and Orthophosphorus Concentrations and Rainfall, Surface-Water Discharge, and Groundwater Levels<br></li><li>Summary<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2018-02-06","noUsgsAuthors":false,"publicationDate":"2018-02-06","publicationStatus":"PW","scienceBaseUri":"5a7acd1de4b00f54eb20c58b","contributors":{"authors":[{"text":"McBride, W. Scott 0000-0003-1828-2838","orcid":"https://orcid.org/0000-0003-1828-2838","contributorId":201573,"corporation":false,"usgs":true,"family":"McBride","given":"W.","email":"","middleInitial":"Scott","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":726494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sifuentes, Dorothy F. 0000-0001-7540-2766 dsifuentes@usgs.gov","orcid":"https://orcid.org/0000-0001-7540-2766","contributorId":201574,"corporation":false,"usgs":true,"family":"Sifuentes","given":"Dorothy","email":"dsifuentes@usgs.gov","middleInitial":"F.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":726495,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195029,"text":"70195029 - 2018 - Development and validation of quantitative PCR assays to measure cytokine transcript levels in the Florida manatee (Trichechus manatus latirostris)","interactions":[],"lastModifiedDate":"2018-04-09T12:03:54","indexId":"70195029","displayToPublicDate":"2018-02-05T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Development and validation of quantitative PCR assays to measure cytokine transcript levels in the Florida manatee (<i>Trichechus manatus latirostris</i>)","title":"Development and validation of quantitative PCR assays to measure cytokine transcript levels in the Florida manatee (Trichechus manatus latirostris)","docAbstract":"<p><span>Cytokines have important roles in the mammalian response to viral and bacterial infections, trauma, and wound healing. Because of early cytokine production after physiologic stresses, the regulation of messenger RNA (mRNA) transcripts can be used to assess immunologic responses before changes in protein production. To detect and assess early immune changes in endangered Florida manatees (</span><i>Trichechus manatus latirostris</i><span>), we developed and validated a panel of quantitative PCR assays to measure mRNA transcription levels for the cytokines interferon (IFN)-γ; interleukin (IL)-2, -6, and -10; tumor necrosis factor-α, and the housekeeping genes glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and β-actin (reference genes). Assays were successfully validated using blood samples from free-ranging, apparently healthy manatees from the east and west coasts of central Florida. No cytokine or housekeeping gene transcription levels were significantly different among age classes or sexes. However, the transcription levels for GAPDH, IL-2, IL-6, and IFN-γ were significantly higher (</span><i>P</i><span>&lt;0.05) in manatees from the east coast of Florida than they were from those from the west coast. We found IL-10 and β-actin to be consistent between sites and identified β-actin as a good candidate for use as a reference gene in future studies. Our assays can aid in the investigation of manatee immune response to physical trauma and novel or ongoing environmental stressors.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-06-139","usgsCitation":"Ferrante, J.A., Hunter, M., and Wellehan, J.F., 2018, Development and validation of quantitative PCR assays to measure cytokine transcript levels in the Florida manatee (Trichechus manatus latirostris): Journal of Wildlife Diseases, v. 54, no. 2, p. 283-294, https://doi.org/10.7589/2017-06-139.","productDescription":"12 p.","startPage":"283","endPage":"294","ipdsId":"IP-080601","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438027,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TB163Q","text":"USGS data release","linkHelpText":"Quantitative PCR assays to measure Florida manatee cytokine mRNA and preliminary data from free-ranging manatees, 2013-14"},{"id":351011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"54","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a797b91e4b00f54eb1f5e0e","contributors":{"authors":[{"text":"Ferrante, Jason A. 0000-0003-3453-4636 jferrante@usgs.gov","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":201638,"corporation":false,"usgs":true,"family":"Ferrante","given":"Jason","email":"jferrante@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunter, Margaret 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":140627,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","email":"mhunter@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":726648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wellehan, James F.X.","contributorId":201640,"corporation":false,"usgs":false,"family":"Wellehan","given":"James","email":"","middleInitial":"F.X.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":726650,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70212316,"text":"70212316 - 2018 - Development of a species status assessment process for decisions under the U.S. Endangered Species Act","interactions":[],"lastModifiedDate":"2020-08-17T12:36:08.764155","indexId":"70212316","displayToPublicDate":"2018-02-02T10:04:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Development of a species status assessment process for decisions under the U.S. Endangered Species Act","docAbstract":"<p><span>Decisions under the U.S. Endangered Species Act (ESA) require scientific input on the risk that the species will become extinct. A series of critiques on the role of science in ESA decisions have called for improved consistency and transparency in species risk assessments and clear distinctions between science input and policy application. To address the critiques and document the emerging practice of the U.S. Fish and Wildlife Service (USFWS), we outline an assessment process based on principles and practices of risk and decision analyses that results in a scientific report on species status. The species status assessment (SSA) process has three successive stages: 1) document the life history and ecological relationships of the species in question to provide the foundation for the assessment, 2) describe and hypothesize causes for the current condition of the species, and 3) forecast the species' future condition. The future condition refers to the ability of a species to sustain populations in the wild under plausible future scenarios. The scenarios help explore the species' response to future environmental stressors and to assess the potential for conservation to intervene to improve its status. The SSA process incorporates modeling and scenario planning for prediction of extinction risk and applies the conservation biology principles of representation, resiliency, and redundancy to evaluate the current and future condition. The SSA results in a scientific report distinct from policy application, which contributes to streamlined, transparent, and consistent decision-making and allows for greater technical participation by experts outside of the USFWS, for example, by state natural resource agencies. We present two case studies based on assessments of the eastern massasauga rattlesnake&nbsp;</span><i>Sistrurus catenatus</i><span>&nbsp;and the Sonoran Desert tortoise&nbsp;</span><i>Gopherus morafkai</i><span>&nbsp;to illustrate the process. The SSA builds upon the past threat-focused assessment by including systematic and explicit analyses of a species' future response to stressors and conservation, and as a result, we believe it provides an improved scientific analysis for ESA decisions.</span></p>","language":"English","publisher":"U.S. Fish & Wildlife Service","doi":"10.3996/052017-JFWM-041","usgsCitation":"Smith, D.R., Allan, N.L., McGowan, C.P., Szymankski, J.A., Oetker, S.R., and Bell, H.M., 2018, Development of a species status assessment process for decisions under the U.S. Endangered Species Act: Journal of Fish and Wildlife Management, v. 9, no. 1, p. 302-320, https://doi.org/10.3996/052017-JFWM-041.","productDescription":"19 p.","startPage":"302","endPage":"320","ipdsId":"IP-079068","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/052017-jfwm-041","text":"Publisher Index Page"},{"id":377524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":796340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allan, Nathan L.","contributorId":193025,"corporation":false,"usgs":false,"family":"Allan","given":"Nathan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":796341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":796342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Szymankski, Jennifer A.","contributorId":238520,"corporation":false,"usgs":false,"family":"Szymankski","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":796344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oetker, Susan R.","contributorId":238519,"corporation":false,"usgs":false,"family":"Oetker","given":"Susan","email":"","middleInitial":"R.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":796343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, Heather M.","contributorId":238521,"corporation":false,"usgs":false,"family":"Bell","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":796345,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195002,"text":"70195002 - 2018 - Potential for western US seasonal snowpack prediction","interactions":[],"lastModifiedDate":"2018-02-14T14:09:54","indexId":"70195002","displayToPublicDate":"2018-02-02T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Potential for western US seasonal snowpack prediction","docAbstract":"Western US snowpack—snow that accumulates on the ground in the mountains—plays a critical role in regional hydroclimate and water supply, with 80% of snowmelt runoff being used for agriculture. While climate projections provide estimates of snowpack loss by the end of th ecentury and weather forecasts provide predictions of weather conditions out to 2 weeks, less progress has been made for snow predictions at seasonal timescales (months to 2 years), crucial for regional agricultural decisions (e.g., plant choice and quantity). Seasonal predictions with climate models first took the form of El Niño predictions 3 decades ago, with hydroclimate predictions emerging more recently. While the field has been focused on single-season predictions (3 months or less), we are now poised to advance our predictions beyond this timeframe. Utilizing observations, climate indices, and a suite of global climate models, we demonstrate the feasibility of seasonal snowpack predictions and quantify the limits of predictive skill 8 month sin advance. This physically based dynamic system outperforms observation-based statistical predictions made on July 1 for March snowpack everywhere except the southern Sierra Nevada, a region where prediction skill is nonexistent for every predictor presently tested. Additionally, in the absence of externally forced negative trends in snowpack, narrow maritime mountain ranges with high hydroclimate variability pose a challenge for seasonal prediction in our present system; natural snowpack variability may inherently be unpredictable at this timescale. This work highlights present prediction system successes and gives cause for optimism for developing seasonal predictions for societal needs.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.1716760115","usgsCitation":"Kapnick, S.B., Yang, X., Vecchi, G., Delworth, T.L., Gudgel, R., Malyshev, S., Milly, P.C., Shevliakova, E., Underwood, S., and Margulis, S.A., 2018, Potential for western US seasonal snowpack prediction: Proceedings of the National Academy of Sciences of the United States of America, v. 115, no. 6, p. 1180-1185, https://doi.org/10.1073/pnas.1716760115.","productDescription":"6 p.","startPage":"1180","endPage":"1185","ipdsId":"IP-090874","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469039,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1716760115","text":"External Repository"},{"id":350944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -128.49609375,\n              30.56226095049944\n            ],\n            [\n              -101.162109375,\n              30.56226095049944\n            ],\n            [\n              -101.162109375,\n              49.809631563563094\n            ],\n            [\n              -128.49609375,\n              49.809631563563094\n            ],\n            [\n              -128.49609375,\n              30.56226095049944\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"115","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-22","publicationStatus":"PW","scienceBaseUri":"5a7586d3e4b00f54eb1d81c8","contributors":{"authors":[{"text":"Kapnick, Sarah B.","contributorId":189908,"corporation":false,"usgs":false,"family":"Kapnick","given":"Sarah","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":726514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Xiaosong","contributorId":201610,"corporation":false,"usgs":false,"family":"Yang","given":"Xiaosong","email":"","affiliations":[],"preferred":false,"id":726515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vecchi, Gabriel A.","contributorId":201585,"corporation":false,"usgs":false,"family":"Vecchi","given":"Gabriel A.","affiliations":[{"id":7108,"text":"Princeton Univ.","active":true,"usgs":false}],"preferred":false,"id":726516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delworth, Thomas L.","contributorId":189909,"corporation":false,"usgs":false,"family":"Delworth","given":"Thomas","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":726518,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gudgel, Rich","contributorId":201586,"corporation":false,"usgs":false,"family":"Gudgel","given":"Rich","email":"","affiliations":[{"id":36211,"text":"GFDL/NOAA","active":true,"usgs":false}],"preferred":false,"id":726517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Malyshev, Sergey","contributorId":22175,"corporation":false,"usgs":true,"family":"Malyshev","given":"Sergey","affiliations":[],"preferred":false,"id":726519,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Milly, Paul C. D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":176836,"corporation":false,"usgs":true,"family":"Milly","given":"Paul","email":"cmilly@usgs.gov","middleInitial":"C. D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":726513,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shevliakova, Elena","contributorId":9596,"corporation":false,"usgs":true,"family":"Shevliakova","given":"Elena","affiliations":[],"preferred":false,"id":726520,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Underwood, Seth","contributorId":201611,"corporation":false,"usgs":false,"family":"Underwood","given":"Seth","email":"","affiliations":[],"preferred":false,"id":726521,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Margulis, Steven A.","contributorId":201612,"corporation":false,"usgs":false,"family":"Margulis","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":726522,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70195941,"text":"70195941 - 2018 - Malassezia vespertilionis sp. nov.: A new cold-tolerant species of yeast isolated from bats","interactions":[],"lastModifiedDate":"2018-03-08T12:19:48","indexId":"70195941","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5648,"text":"Persoonia - Molecular Phylogeny and Evolution of Fungi","active":true,"publicationSubtype":{"id":10}},"title":"Malassezia vespertilionis sp. nov.: A new cold-tolerant species of yeast isolated from bats","docAbstract":"<p><i>Malassezia</i><span><span>&nbsp;</span>is a genus of medically-important, lipid-dependent yeasts that live on the skin of warm-blooded animals. The 17 described species have been documented primarily on humans and domestic animals, but few studies have examined<span>&nbsp;</span></span><i>Malassezia</i><span><span>&nbsp;</span>species associated with more diverse host groups such as wildlife. While investigating the skin mycobiota of healthy bats, we isolated a<span>&nbsp;</span></span><i>Malassezia</i><span><span>&nbsp;</span>sp. that exhibited only up to 92 % identity with other known species in the genus for the portion of the DNA sequence of the internal transcribed spacer region that could be confidently aligned. The<span>&nbsp;</span></span><i>Malassezia</i><span><span>&nbsp;</span>sp. was cultured from the skin of nine species of bats in the subfamily<span>&nbsp;</span></span><i>Myotinae</i><span>; isolates originated from bats sampled in both the eastern and western United States. Physiological features and molecular characterisation at seven additional loci (D1/D2 region of 26S rDNA, 18S rDNA, chitin synthase, second largest subunit of RNA polymerase II, β-tubulin, translation elongation factor EF-1α, and minichromosome maintenance complex component 7) indicated that all of the bat<span>&nbsp;</span></span><i>Malassezia</i><span>isolates likely represented a single species distinct from other named taxa. Of particular note was the ability of the<span>&nbsp;</span></span><i>Malassezia</i><span><span>&nbsp;</span>sp. to grow over a broad range of temperatures (7–40 °C), with optimal growth occurring at 24 °C. These thermal growth ranges, unique among the described<span>&nbsp;</span></span><i>Malassezia</i><span>, may be an adaptation by the fungus to survive on bats during both the host's hibernation and active seasons. The combination of genetic and physiological differences provided compelling evidence that this lipid-dependent yeast represents a novel species described herein as<span>&nbsp;</span></span><i>Malassezia vespertilionis</i><span><span>&nbsp;</span>sp. nov. Whole genome sequencing placed the new species as a basal member of the clade containing the species<span>&nbsp;</span></span><i>M. furfur</i><span>,<span>&nbsp;</span></span><i>M. japonica</i><span>,<span>&nbsp;</span></span><i>M. obtusa</i><span>, and<span>&nbsp;</span></span><i>M. yamatoensis</i><span>. The genetic and physiological uniqueness of<span>&nbsp;</span></span><i>Malassezia vespertilionis</i><span><span>&nbsp;</span>among its closest relatives may make it important in future research to better understand the evolution, life history, and pathogenicity of the<span>&nbsp;</span></span><i>Malassezia</i><span>yeasts.</span></p>","language":"English","publisher":"Naturalis Biodiversity Center","doi":"10.3767/persoonia.2018.41.04","usgsCitation":"Lorch, J.M., Palmer, J.M., Vanderwolf, K.J., Schmidt, K.Z., Verant, M.L., Weller, T.J., and Blehert, D.S., 2018, Malassezia vespertilionis sp. nov.: A new cold-tolerant species of yeast isolated from bats: Persoonia - Molecular Phylogeny and Evolution of Fungi, v. 41, p. 56-70, https://doi.org/10.3767/persoonia.2018.41.04.","productDescription":"15 p.","startPage":"56","endPage":"70","ipdsId":"IP-091447","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3767/persoonia.2018.41.04","text":"Publisher Index Page"},{"id":352336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee742e4b0da30c1bfc1f5","contributors":{"authors":[{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":730601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmer, Jonathan M.","contributorId":172601,"corporation":false,"usgs":false,"family":"Palmer","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":27066,"text":"Center for Forest Mycology Research, Northern Research Station, US Forest Service, Madison, Wisconsin, USAb","active":true,"usgs":false}],"preferred":false,"id":730602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vanderwolf, Karen J. 0000-0003-0963-3093","orcid":"https://orcid.org/0000-0003-0963-3093","contributorId":203200,"corporation":false,"usgs":true,"family":"Vanderwolf","given":"Karen","email":"","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":730603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Katie Z.","contributorId":176251,"corporation":false,"usgs":false,"family":"Schmidt","given":"Katie","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":730604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verant, Michelle L.","contributorId":201556,"corporation":false,"usgs":false,"family":"Verant","given":"Michelle","email":"","middleInitial":"L.","affiliations":[{"id":36202,"text":"School of Veterinary Medicine, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":730605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weller, Theodore J.","contributorId":105961,"corporation":false,"usgs":false,"family":"Weller","given":"Theodore","email":"","middleInitial":"J.","affiliations":[{"id":13261,"text":"USDA Forest Service, Pacific Southwest Research Station, Davis, California","active":true,"usgs":false}],"preferred":false,"id":730606,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140392,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":730607,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197788,"text":"70197788 - 2018 - Variabilities in probabilistic seismic hazard maps for natural and induced seismicity in the central and eastern United States","interactions":[],"lastModifiedDate":"2018-06-20T10:54:13","indexId":"70197788","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Variabilities in probabilistic seismic hazard maps for natural and induced seismicity in the central and eastern United States","docAbstract":"<p><span>Probabilistic seismic hazard analysis (PSHA) characterizes ground-motion hazard from earthquakes. Typically, the time horizon of a PSHA forecast is long, but in response to induced seismicity related to hydrocarbon development, the USGS developed one-year PSHA models. In this paper, we present a display of the variability in USGS hazard curves due to epistemic uncertainty in its informed submodel using a simple bootstrapping approach. We find that variability is highest in low-seismicity areas. On the other hand, areas of high seismic hazard, such as the New Madrid seismic zone or Oklahoma, exhibit relatively lower variability simply because of more available data and a better understanding of the seismicity. Comparing areas of high hazard, New Madrid, which has a history of large naturally occurring earthquakes, has lower forecast variability than Oklahoma, where the hazard is driven mainly by suspected induced earthquakes since 2009. Overall, the mean hazard obtained from bootstrapping is close to the published model, and variability increased in the 2017 one-year model relative to the 2016 model. Comparing the relative variations caused by individual logic-tree branches, we find that the highest hazard variation (as measured by the 95% confidence interval of bootstrapping samples) in the final model is associated with different ground-motion models and maximum magnitudes used in the logic tree, while the variability due to the smoothing distance is minimal. It should be pointed out that this study is not looking at the uncertainty in the hazard in general, but only as it is represented in the USGS one-year models.</span><span></span></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle37020141a1.1","usgsCitation":"Mousavi, S.M., Beroza, G.C., and Hoover, S.M., 2018, Variabilities in probabilistic seismic hazard maps for natural and induced seismicity in the central and eastern United States: The Leading Edge, v. 37, no. 2, p. 141a1-141a9, https://doi.org/10.1190/tle37020141a1.1.","productDescription":"9 p.","startPage":"141a1","endPage":"141a9","ipdsId":"IP-093220","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":355202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115,\n              25\n            ],\n            [\n              -65,\n              25\n            ],\n            [\n              -65,\n              50\n            ],\n            [\n              -115,\n              50\n            ],\n            [\n              -115,\n              25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e5d3e4b060350a15d21c","contributors":{"authors":[{"text":"Mousavi, S. Mostafa","contributorId":205790,"corporation":false,"usgs":false,"family":"Mousavi","given":"S.","email":"","middleInitial":"Mostafa","affiliations":[{"id":37167,"text":"Department of Geophysics, Stanford University, Stanford, CA","active":true,"usgs":false}],"preferred":false,"id":738494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beroza, Gregory C.","contributorId":191201,"corporation":false,"usgs":false,"family":"Beroza","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":738495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoover, Susan M. 0000-0002-8682-6668 shoover@usgs.gov","orcid":"https://orcid.org/0000-0002-8682-6668","contributorId":5715,"corporation":false,"usgs":true,"family":"Hoover","given":"Susan","email":"shoover@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":738496,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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