{"pageNumber":"1049","pageRowStart":"26200","pageSize":"25","recordCount":184717,"records":[{"id":70259312,"text":"70259312 - 2016 - Katmai National Park and Preserve and Alagnak Wild River: Geologic resources inventory report","interactions":[],"lastModifiedDate":"2024-10-03T16:19:47.769922","indexId":"70259312","displayToPublicDate":"2016-12-01T11:11:59","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/GRD/NRR—2016/1314","title":"Katmai National Park and Preserve and Alagnak Wild River: Geologic resources inventory report","docAbstract":"The Geologic Resources Inventory (GRI) is one of 12 inventories funded by the National Park Service (NPS) Inventory and Monitoring Program. The Geologic Resources Division of the NPS Natural Resource Stewardship and Science Directorate administers the GRI. This GRI report was written for resource managers to support science-informed decision making. It may also be useful for interpretation. The report was prepared using available geologic information. Chapters of the report discuss distinctive geologic features and processes, describe the geologic history leading to the present-\nday landscape, highlight geologic issues facing resource managers, and provide information about the\nassociated GRI geologic map data. A poster (Plate 1, in pocket) illustrates these data.","language":"English","publisher":"National Park Service","usgsCitation":"Hults, C., and Fierstein, J., 2016, Katmai National Park and Preserve and Alagnak Wild River: Geologic resources inventory report: Natural Resource Report NPS/NRSS/GRD/NRR—2016/1314, Report: xviii, 122 p.; 4 Plates: 11 x 17 inches.","productDescription":"Report: xviii, 122 p.; 4 Plates: 11 x 17 inches","ipdsId":"IP-075872","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":462547,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2235401","linkFileType":{"id":5,"text":"html"}},{"id":462548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alagnak Wild River, Katmai National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.3103825263162,\n              59.33511627589118\n            ],\n            [\n              -157.14785295806774,\n              57.54921562427859\n            ],\n            [\n              -155.4731257321901,\n              57.42053246081244\n            ],\n            [\n              -152.69465687731275,\n              59.00986984249985\n            ],\n            [\n              -156.3103825263162,\n              59.33511627589118\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hults, Chad","contributorId":332290,"corporation":false,"usgs":false,"family":"Hults","given":"Chad","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":914890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fierstein, Judith E. 0000-0001-8024-1426","orcid":"https://orcid.org/0000-0001-8024-1426","contributorId":329988,"corporation":false,"usgs":true,"family":"Fierstein","given":"Judith E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":914891,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250107,"text":"70250107 - 2016 - Shifting patterns in SAV species diversity and community structure","interactions":[],"lastModifiedDate":"2023-11-20T16:22:31.592815","indexId":"70250107","displayToPublicDate":"2016-12-01T10:20:43","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Shifting patterns in SAV species diversity and community structure","docAbstract":"<p>This chapter examines the shifting patterns in Chesapeake SAV community structure and the potential environmental variables that explain variation in species composition patterns at both long and short time periods. Bay-wide species occurrence data sets are summarized. These data show that twenty-seven or more species of SAV are found within the tidal Chesapeake Bay. Seventeen of these are common, and four of those are non-native. The distributions of these SAV species are largely controlled by salinity, resulting in species associations along salinity gradients. There is higher species richness in low salinity SAV communities compared to medium and high salinity areas, but some of the species have wide salinity tolerances and are found in more than one community type. Most low salinity SAV species have expanded their distributions within the Bay, whereas the distributions of medium and high salinity species have either not changed or decreased. Two non-native species (<i>Hydrilla verticillata</i>, <i>Najas minor</i>) have increased their distributions, while the distributions of two nonnative species (<i>Myriophyllum spicatum</i>, Potomogeton crispus) have not been observed to spread. Factors other than salinity that affect SAV community structure include water quality conditions, water movement, sediment quality, temperature, disease, water fowl herbivory, competitive interactions, propagule availability and shading from the invasive floating aquatic vegetation, <i>Trapa natans</i>. Historic declines in SAV abundances and diversity have largely been linked to anthropogenic impacts, although disease and storms have also contributed to episodic alterations to SAV communities. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Chesapeake Bay submerged aquatic vegetation (SAV): A third technical synthesis","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Chesapeake Bay Program","usgsCitation":"Rybicki, N.B., Tanner, C.E., Shields, E.C., Moore, K.A., Kollar, S., Wilcox, D.J., and Engelhardt, K.A., 2016, Shifting patterns in SAV species diversity and community structure, chap. <i>of</i> Chesapeake Bay submerged aquatic vegetation (SAV): A third technical synthesis, p. 6-30.","productDescription":"25 p.","startPage":"6","endPage":"30","ipdsId":"IP-090301","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":422732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422731,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeakebay.net/what/publications/chesapeake-bay-submerged-aquatic-vegetation-sav-a-third-technical-synthesis","linkFileType":{"id":5,"text":"html"}}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.04363165743484,\n              36.8187868897173\n            ],\n            [\n              -75.614355316119,\n              37.95715200596091\n            ],\n            [\n              -75.80417153423681,\n              38.41259170218382\n            ],\n            [\n              -75.87620866466602,\n              39.78137527024407\n            ],\n            [\n              -76.51837962182296,\n              39.76538855694642\n            ],\n            [\n              -77.586973333989,\n              38.46726198075973\n            ],\n            [\n              -76.77209194847646,\n              37.00987652995029\n            ],\n            [\n              -76.04363165743484,\n              36.8187868897173\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":888377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanner, Christopher E.","contributorId":331653,"corporation":false,"usgs":false,"family":"Tanner","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":79258,"text":"St. Mary's College of Maryland","active":true,"usgs":false}],"preferred":false,"id":888378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shields, Erin C.","contributorId":331654,"corporation":false,"usgs":false,"family":"Shields","given":"Erin","email":"","middleInitial":"C.","affiliations":[{"id":6708,"text":"Virginia Institute of Marine Science","active":true,"usgs":false}],"preferred":false,"id":888379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Kenneth A.","contributorId":140569,"corporation":false,"usgs":false,"family":"Moore","given":"Kenneth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":888380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kollar, Stanley","contributorId":331655,"corporation":false,"usgs":false,"family":"Kollar","given":"Stanley","email":"","affiliations":[{"id":79259,"text":"Kollar Environmental Associates","active":true,"usgs":false}],"preferred":false,"id":888381,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilcox, David J.","contributorId":140565,"corporation":false,"usgs":false,"family":"Wilcox","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":888382,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Engelhardt, Katherina A. M.","contributorId":331656,"corporation":false,"usgs":false,"family":"Engelhardt","given":"Katherina","email":"","middleInitial":"A. M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":888383,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70249438,"text":"70249438 - 2016 - Assessing the contributions of local and east Pacific warming to the 2015 droughts in Ethiopia and Southern Africa","interactions":[],"lastModifiedDate":"2024-03-15T13:47:15.827921","indexId":"70249438","displayToPublicDate":"2016-12-01T09:31:13","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the contributions of local and east Pacific warming to the 2015 droughts in Ethiopia and Southern Africa","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-16-0167.1","usgsCitation":"Funk, C., Harrison, L., Shukla, S., Korecha, D., Magadzire, T., Husak, G., Galu, G., and Hoell, A., 2016, Assessing the contributions of local and east Pacific warming to the 2015 droughts in Ethiopia and Southern Africa: Bulletin of the American Meteorological Society, v. 97, no. 12 Supplement, p. 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,{"id":70189813,"text":"70189813 - 2016 - The geomagnetic blitz of September 1941","interactions":[],"lastModifiedDate":"2017-07-26T17:04:03","indexId":"70189813","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"The geomagnetic blitz of September 1941","docAbstract":"<p><span>Seventy-five years ago, on 18–19 September 1941, the Earth experienced a great magnetic storm,&nbsp;one of the most intense ever recorded. It arrived at a poignant moment in history, when radio and electrical technology was emerging as a central part of daily life and when much of the world was embroiled in World War II, which the United States had not yet officially entered.</span></p><p><span>Auroras danced across the night sky as voltage surged in power grid lines. A radio blackout interrupted fan enjoyment of a baseball game, while another radio program was interrupted by private phone conversations. Citizens, already on edge, wondered if neon lights were some sort of antiaircraft signal. And far away in the North Atlantic, the illuminated night sky exposed an Allied convoy to German attack.</span></p><p><span>These effects raised awareness within the scientific community and among the public of the societal significance of the effects that the Sun and outer space can have on the Earth—what we&nbsp;now call&nbsp;space weather<span>.</span></span></p>","language":"English","publisher":"AGU","doi":"10.1029/2016EO059319","usgsCitation":"Love, J.J., and Coisson, P., 2016, The geomagnetic blitz of September 1941: Eos, Earth and Space Science News, v. 97, no. 20, p. 18-22, https://doi.org/10.1029/2016EO059319.","productDescription":"5 p.","startPage":"18","endPage":"22","ipdsId":"IP-076401","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470466,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2016eo059319","text":"Publisher Index Page"},{"id":344369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"20","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5979aa56e4b0ec1a488b8c13","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coisson, Pierdavide","contributorId":177260,"corporation":false,"usgs":false,"family":"Coisson","given":"Pierdavide","email":"","affiliations":[],"preferred":false,"id":706441,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178781,"text":"70178781 - 2016 - Oxygen, hydrogen, sulfur, and carbon isotopes in the Pea Ridge magnetite-apatite deposit, southeast Missouri, and sulfur isotope comparisons to other iron deposits in the region","interactions":[],"lastModifiedDate":"2016-12-07T14:09:06","indexId":"70178781","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Oxygen, hydrogen, sulfur, and carbon isotopes in the Pea Ridge magnetite-apatite deposit, southeast Missouri, and sulfur isotope comparisons to other iron deposits in the region","docAbstract":"<p id=\"p-1\">Oxygen, hydrogen, sulfur, and carbon isotopes have been analyzed in the Pea Ridge magnetite-apatite deposit, the largest historic producer among the known iron deposits in the southeast Missouri portion of the 1.5 to 1.3 Ga eastern granite-rhyolite province. The data were collected to investigate the sources of ore fluids, conditions of ore formation, and provenance of sulfur, and to improve the general understanding of the copper, gold, and rare earth element potential of iron deposits regionally. The <i>δ</i><sup>18</sup>O values of Pea Ridge magnetite are 1.9 to 4.0‰, consistent with a model in which some magnetite crystallized from a melt and other magnetite—perhaps the majority—precipitated from an aqueous fluid of magmatic origin. The <i>δ</i><sup>18</sup>O values of quartz, apatite, actinolite, K-feldspar, sulfates, and calcite are significantly higher, enough so as to indicate growth or equilibration under cooler conditions than magnetite and/or in the presence of a fluid that was not entirely magmatic. A variety of observations, including stable isotope observations, implicate a second fluid that may ultimately have been meteoric in origin and may have been modified by isotopic exchange with rocks or by evaporation during storage in lakes.</p><p id=\"p-2\">Sulfur isotope analyses of sulfides from Pea Ridge and seven other mineral deposits in the region reveal two distinct populations that average 3 and 13‰. Two sulfur sources are implied. One was probably igneous melts or rocks belonging to the mafic- to intermediate-composition volcanic suite that is present at or near most of the iron deposits; the other was either melts or volcanic rocks that had degassed very extensively, or else volcanic lakes that had trapped rising magmatic gases. The higher <i>δ</i><sup>34</sup>S values correspond to deposits or prospects where copper is noteworthy—the Central Dome portion of the Boss deposit, the Bourbon deposit, and the Vilander prospective area. The correspondence suggests that (1) sulfur either limited the deposition of copper or was cotransported with copper, and (2) sulfur isotope analysis may be useful in evaluating southeast Missouri iron deposits for copper and possibly for gold.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.2017","usgsCitation":"Johnson, C.A., Day, W.C., and Rye, R.O., 2016, Oxygen, hydrogen, sulfur, and carbon isotopes in the Pea Ridge magnetite-apatite deposit, southeast Missouri, and sulfur isotope comparisons to other iron deposits in the region: Economic Geology, v. 111, no. 8, p. 2017-2032, https://doi.org/10.2113/econgeo.111.8.2017.","productDescription":"16 p.","startPage":"2017","endPage":"2032","ipdsId":"IP-069800","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":331639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","volume":"111","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"58492df2e4b06d80b7b093a0","contributors":{"authors":[{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","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},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":655118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":655119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rye, Robert O. rrye@usgs.gov","contributorId":1486,"corporation":false,"usgs":true,"family":"Rye","given":"Robert","email":"rrye@usgs.gov","middleInitial":"O.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":655120,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178570,"text":"70178570 - 2016 - Graphical function mapping as a new way to explore cause-and-effect chains","interactions":[],"lastModifiedDate":"2018-02-28T14:36:31","indexId":"70178570","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Graphical function mapping as a new way to explore cause-and-effect chains","docAbstract":"<p><span>Graphical function mapping provides a simple method for improving communication within interdisciplinary research teams and between scientists and nonscientists. This article introduces graphical function mapping using two examples and discusses its usefulness. Function mapping projects the outcome of one function into another to show the combined effect. Using this mathematical property in a simpler, even cartoon-like, graphical way allows the rapid combination of multiple information sources (models, empirical data, expert judgment, and guesses) in an intuitive visual to promote further discussion, scenario development, and clear communication.</span></p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/03632415.2016.1221404","usgsCitation":"Evans, M.A., 2016, Graphical function mapping as a new way to explore cause-and-effect chains: Fisheries, v. 41, no. 11, p. 638-643, https://doi.org/10.1080/03632415.2016.1221404.","productDescription":"6 p.","startPage":"638","endPage":"643","ipdsId":"IP-060085","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":331372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"11","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-04","publicationStatus":"PW","scienceBaseUri":"584144dde4b04fc80e50737f","contributors":{"authors":[{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":4883,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":654409,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70179026,"text":"70179026 - 2016 - Prediction of fish and sediment mercury in streams using landscape variables and historical mining","interactions":[],"lastModifiedDate":"2018-08-07T12:06:20","indexId":"70179026","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Prediction of fish and sediment mercury in streams using landscape variables and historical mining","docAbstract":"<p><span>Widespread mercury (Hg) contamination of aquatic systems in the Sierra Nevada of California, U.S., is associated with historical use to enhance gold (Au) recovery by amalgamation. In areas affected by historical Au mining operations, including the western slope of the Sierra Nevada and downstream areas in northern California, such as San Francisco Bay and the Sacramento River–San Joaquin River Delta, microbial conversion of Hg to methylmercury (MeHg) leads to bioaccumulation of MeHg in food webs, and increased risks to humans and wildlife. This study focused on developing a predictive model for THg in stream fish tissue based on geospatial data, including land use/land cover data, and the distribution of legacy Au mines. Data on total mercury (THg) and MeHg concentrations in fish tissue and streambed sediment collected during 1980–2012 from stream sites in the Sierra Nevada, California were combined with geospatial data to estimate fish THg concentrations across the landscape. THg concentrations of five fish species (Brown Trout, Rainbow Trout, Sacramento Pikeminnow, Sacramento Sucker, and Smallmouth Bass) within stream sections were predicted using multi-model inference based on Akaike Information Criteria, using geospatial data for mining history and landscape characteristics as well as fish species and length (r</span><sup>2</sup><span>&nbsp;=&nbsp;0.61, p&nbsp;&lt;&nbsp;0.001). Including THg concentrations in streambed sediment did not improve the model's fit, however including MeHg concentrations in streambed sediment, organic content (loss on ignition), and sediment grain size resulted in an improved fit (r</span><sup>2</sup><span>&nbsp;=&nbsp;0.63, p&nbsp;&lt;&nbsp;0.001). These models can be used to estimate THg concentrations in stream fish based on landscape variables in the Sierra Nevada in areas where direct measurements of THg concentration in fish are unavailable.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.05.088","usgsCitation":"Alpers, C.N., Yee, J.L., Ackerman, J., Orlando, J.L., Slotton, D., and Marvin-DiPasquale, M.C., 2016, Prediction of fish and sediment mercury in streams using landscape variables and historical mining: Science of the Total Environment, v. 571, p. 364-379, https://doi.org/10.1016/j.scitotenv.2016.05.088.","productDescription":"16 p.","startPage":"364","endPage":"379","ipdsId":"IP-071053","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":470382,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.05.088","text":"Publisher Index Page"},{"id":332083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"571","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585116bbe4b08138bf1abd50","contributors":{"authors":[{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":655815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":655816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orlando, James L. 0000-0002-0099-7221 jorlando@usgs.gov","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":1368,"corporation":false,"usgs":true,"family":"Orlando","given":"James","email":"jorlando@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":655817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slotton, Darrell G.","contributorId":103361,"corporation":false,"usgs":true,"family":"Slotton","given":"Darrell G.","affiliations":[],"preferred":false,"id":655818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":655819,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193670,"text":"70193670 - 2016 - Comparison of survey techniques on detection of northern flying squirrels","interactions":[],"lastModifiedDate":"2017-11-04T13:50:51","indexId":"70193670","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of survey techniques on detection of northern flying squirrels","docAbstract":"<p>The ability to detect a species is central to the success of monitoring for conservation and management purposes, especially if the species is rare or endangered. Traditional methods, such as live capture, can be labor-intensive, invasive, and produce low detection rates. Technological advances and new approaches provide opportunities to more effectively survey for species both in terms of accuracy and efficiency than previous methods. We conducted a pilot comparison study of a traditional technique (live-trapping) and 2 novel noninvasive techniques (camera-trapping and ultrasonic acoustic surveys) on detection rates of the federally endangered Carolina northern flying squirrel (<i>Glaucomys sabrinus coloratus</i>) in occupied habitat within the Roan Mountain Highlands of North Carolina, USA. In 2015, we established 3 5 × 5 live-trapping grids (6.5 ha) with 4 camera traps and 4 acoustic detectors systematically embedded in each grid. All 3 techniques were used simultaneously during 2 4-day survey periods. We compared techniques by assessing probability of detection (POD), latency to detection (LTD; i.e., no. of survey nights until initial detection), and survey effort. Acoustics had the greatest POD (0.37 ± 0.06 SE), followed by camera traps (0.30 ± 0.06) and live traps (0.01 ± 0.005). Acoustics had a lower LTD than camera traps (<i>P </i>= 0.017), where average LTD was 1.5 nights for acoustics and 3.25 nights for camera traps. Total field effort was greatest with live traps (111.9 hr) followed by acoustics (8.4 hr) and camera traps (9.6 hr), although processing and examination for data of noninvasive techniques made overall effort similar among the 3 methods. This pilot study demonstrated that both noninvasive methods were better rapid-assessment detection techniques for flying squirrels than live traps. However, determining seasonal effects between survey techniques and further development of protocols for both noninvasive techniques is necessary prior to widespread application in the region. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.</p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.715","usgsCitation":"Diggins, C.A., Gilley, L.M., Kelly, C.A., and Ford, W.M., 2016, Comparison of survey techniques on detection of northern flying squirrels: Wildlife Society Bulletin, v. 40, no. 4, p. 654-662, https://doi.org/10.1002/wsb.715.","productDescription":"13 p.","startPage":"654","endPage":"662","ipdsId":"IP-074552","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500004,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/6e146450458c4b5e965d92d9b6f7a9e5","text":"External Repository"},{"id":348195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-27","publicationStatus":"PW","scienceBaseUri":"59fedfb5e4b0531197b573c6","contributors":{"authors":[{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":720349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilley, L. Michelle","contributorId":171670,"corporation":false,"usgs":false,"family":"Gilley","given":"L.","email":"","middleInitial":"Michelle","affiliations":[{"id":35652,"text":"Mars Hill University, Mars Hill, NC","active":true,"usgs":false}],"preferred":false,"id":720350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Christine A.","contributorId":171661,"corporation":false,"usgs":false,"family":"Kelly","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":35598,"text":"North Carolina Wildlife Resources Commission ","active":true,"usgs":false}],"preferred":false,"id":720351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":720352,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189656,"text":"70189656 - 2016 - Unusual clockwise loop migration lengthens travel distances and increases potential risks for a central Asian, long distance, trans-equatorial migrant, the Red-footed Falcon <i>Falco vespertinus</i>","interactions":[],"lastModifiedDate":"2017-11-22T17:15:16","indexId":"70189656","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1052,"text":"Bird Study","active":true,"publicationSubtype":{"id":10}},"title":"Unusual clockwise loop migration lengthens travel distances and increases potential risks for a central Asian, long distance, trans-equatorial migrant, the Red-footed Falcon <i>Falco vespertinus</i>","docAbstract":"<p><strong>Capsule:</strong><span>&nbsp;</span>Red-footed Falcons<span>&nbsp;</span><i>Falco vespertinus</i><span>&nbsp;</span>migrating from northern Kazakhstan proceed west before heading south to Africa; their northbound travel follows a different route with passage close to shooting hotspots in the Mediterranean.</p><p><strong>Aim:</strong><span>&nbsp;</span>To use tracking and ringing data to document for the first time the migration of globally threatened Red-footed Falcons from northern Kazakhstan.</p><p><strong>Methods:</strong><span>&nbsp;</span>Light-level geolocators were deployed on breeding adults in Kazakhstan and recovered one year later. Ringing and observational data from more than 100 years of Russian-language and other literature were summarized and mapped alongside the geolocator data.</p><p><strong>Results:</strong><span>&nbsp;</span>Geolocator, ringing and observational data together demonstrate that Red-footed Falcons from northern Kazakhstan have a clockwise loop migration that begins with a long and unusual westward trek around eastern Europe’s large inland seas before continuing to extreme southern Africa. Return migration is farther west and requires crossing two major migratory barriers: the Sahara and the Mediterranean.</p><p><strong>Conclusion:</strong><span>&nbsp;</span>The loop migration we describe requires an extensive longitudinal movement, exposes central Asian Red-footed Falcons to multiple desert, mountain and marine crossings, and, at outbound and return Mediterranean bottlenecks, crosses sites where raptor shooting is common.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00063657.2016.1214107","usgsCitation":"Katzner, T., Bragin, E.A., Bragin, A.E., McGrady, M.J., Miller, T., and Bildstein, K.L., 2016, Unusual clockwise loop migration lengthens travel distances and increases potential risks for a central Asian, long distance, trans-equatorial migrant, the Red-footed Falcon <i>Falco vespertinus</i>: Bird Study, v. 63, no. 3, p. 406-412, https://doi.org/10.1080/00063657.2016.1214107.","productDescription":"7 p.","startPage":"406","endPage":"412","ipdsId":"IP-071710","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":344054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"59706fb7e4b0d1f9f065a899","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":5979,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":705614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bragin, Evgeny A.","contributorId":194894,"corporation":false,"usgs":false,"family":"Bragin","given":"Evgeny","email":"","middleInitial":"A.","affiliations":[{"id":35656,"text":"Science Department, Naurzum National Nature Reserve, Kostanay Oblast, Naurzumski Raijon, Karamendy, Kazakhstan","active":true,"usgs":false}],"preferred":false,"id":705615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bragin, Alexander E.","contributorId":193027,"corporation":false,"usgs":false,"family":"Bragin","given":"Alexander","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":705616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGrady, Michael J.","contributorId":189117,"corporation":false,"usgs":false,"family":"McGrady","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":705617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Tricia A.","contributorId":64790,"corporation":false,"usgs":true,"family":"Miller","given":"Tricia A.","affiliations":[],"preferred":false,"id":705618,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bildstein, Keith L.","contributorId":150854,"corporation":false,"usgs":false,"family":"Bildstein","given":"Keith","email":"","middleInitial":"L.","affiliations":[{"id":18119,"text":"Hawk Mountain Sanctuary, Acopian Center for Conservation Learning","active":true,"usgs":false}],"preferred":false,"id":705619,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70184986,"text":"70184986 - 2016 - High nitrate concentrations in some Midwest United States streams in 2013 after the 2012 drought","interactions":[],"lastModifiedDate":"2017-03-13T13:44:58","indexId":"70184986","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"High nitrate concentrations in some Midwest United States streams in 2013 after the 2012 drought","docAbstract":"<p><span>Nitrogen sources in the Mississippi River basin have been linked to degradation of stream ecology and to Gulf of Mexico hypoxia. In 2013, the USGS and the USEPA characterized water quality stressors and ecological conditions in 100 wadeable streams across the midwestern United States. Wet conditions in 2013 followed a severe drought in 2012, a weather pattern associated with elevated nitrogen concentrations and loads in streams. Nitrate concentrations during the May to August 2013 sampling period ranged from &lt;0.04 to 41.8 mg L</span><sup>−1</sup><span> as N (mean, 5.31 mg L</span><sup>−1</sup><span>). Observed mean May to June nitrate concentrations at the 100 sites were compared with May to June concentrations predicted from a regression model developed using historical nitrate data. Observed concentrations for 17 sites, centered on Iowa and southern Minnesota, were outside the 95% confidence interval of the regression-predicted mean, indicating that they were anomalously high. The sites with a nitrate anomaly had significantly higher May to June nitrate concentrations than sites without an anomaly (means, 19.8 and 3.6 mg L</span><sup>−1</sup><span>, respectively) and had higher antecedent precipitation indices, a measure of the departure from normal precipitation, in 2012 and 2013. Correlations between nitrate concentrations and watershed characteristics and nitrogen and oxygen isotopes of nitrate indicated that fertilizer and manure used in crop production, principally corn, were the dominant sources of nitrate. The anomalously high nitrate levels in parts of the Midwest in 2013 coincide with reported higher-than-normal nitrate loads in the Mississippi River.</span></p>","language":"English","publisher":"ACSESS","doi":"10.2134/jeq2015.12.0591","usgsCitation":"Van Metre, P., Frey, J.W., Musgrove, M., Nakagaki, N., Qi, S.L., Mahler, B., Wieczorek, M., and Button, D.T., 2016, High nitrate concentrations in some Midwest United States streams in 2013 after the 2012 drought: Journal of Environmental Quality, v. 45, no. 5, p. 1696-1704, https://doi.org/10.2134/jeq2015.12.0591.","productDescription":"9 p.","startPage":"1696","endPage":"1704","ipdsId":"IP-064530","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":470355,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2015.12.0591","text":"Publisher Index Page"},{"id":337440,"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              -99.36035156249999,\n              36.63316209558658\n            ],\n            [\n              -82.265625,\n              36.63316209558658\n            ],\n            [\n              -82.265625,\n              45.42929873257377\n            ],\n            [\n              -99.36035156249999,\n              45.42929873257377\n            ],\n            [\n              -99.36035156249999,\n              36.63316209558658\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9de4b0849ce9795e82","contributors":{"authors":[{"text":"Van Metre, Peter C. 0000-0001-7564-9814 pcvanmet@usgs.gov","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":172246,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":683826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 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Center","active":true,"usgs":true}],"preferred":true,"id":683833,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Button, Daniel T. 0000-0002-7479-884X dtbutton@usgs.gov","orcid":"https://orcid.org/0000-0002-7479-884X","contributorId":2084,"corporation":false,"usgs":true,"family":"Button","given":"Daniel","email":"dtbutton@usgs.gov","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":true,"id":683832,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70184994,"text":"70184994 - 2016 - Temporal and spatial trends in nutrient and sediment loading to Lake Tahoe, California-Nevada, USA","interactions":[],"lastModifiedDate":"2017-03-13T12:56:10","indexId":"70184994","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Temporal and spatial trends in nutrient and sediment loading to Lake Tahoe, California-Nevada, USA","docAbstract":"<p><span>Since 1980, the Lake Tahoe Interagency Monitoring Program (LTIMP) has provided stream-discharge and water quality data—nitrogen (N), phosphorus (P), and suspended sediment—at more than 20 stations in Lake Tahoe Basin streams. To characterize the temporal and spatial patterns in nutrient and sediment loading to the lake, and improve the usefulness of the program and the existing database, we have (1) identified and corrected for sources of bias in the water quality database; (2) generated synthetic datasets for sediments and nutrients, and resampled to compare the accuracy and precision of different load calculation models; (3) using the best models, recalculated total annual loads over the period of record; (4) regressed total loads against total annual and annual maximum daily discharge, and tested for time trends in the residuals; (5) compared loads for different forms of N and P; and (6) tested constituent loads against land use-land cover (LULC) variables using multiple regression. The results show (1) N and P loads are dominated by organic N and particulate P; (2) there are significant long-term downward trends in some constituent loads of some streams; and (3) anthropogenic impervious surface is the most important LULC variable influencing water quality in basin streams. Many of our recommendations for changes in water quality monitoring and load calculation methods have been adopted by the LTIMP.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12461","usgsCitation":"Coats, R., Lewis, J., Alvarez, N., and Arneson, P., 2016, Temporal and spatial trends in nutrient and sediment loading to Lake Tahoe, California-Nevada, USA: Journal of the American Water Resources Association, v. 52, no. 6, p. 1347-1365, https://doi.org/10.1111/1752-1688.12461.","productDescription":"19 p.","startPage":"1347","endPage":"1365","ipdsId":"IP-075203","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":337429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","volume":"52","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"58c7af9ce4b0849ce9795e7c","contributors":{"authors":[{"text":"Coats, Robert","contributorId":108007,"corporation":false,"usgs":true,"family":"Coats","given":"Robert","affiliations":[],"preferred":false,"id":683865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Jack","contributorId":189105,"corporation":false,"usgs":false,"family":"Lewis","given":"Jack","email":"","affiliations":[],"preferred":false,"id":683866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, Nancy L. nalvarez@usgs.gov","contributorId":4570,"corporation":false,"usgs":true,"family":"Alvarez","given":"Nancy L.","email":"nalvarez@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":683864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arneson, Patricia","contributorId":189106,"corporation":false,"usgs":false,"family":"Arneson","given":"Patricia","email":"","affiliations":[],"preferred":false,"id":683867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179439,"text":"70179439 - 2016 - Observed and simulated hydrologic response for a first-order catchment during extreme rainfall 3 years after wildfire disturbance","interactions":[],"lastModifiedDate":"2017-03-15T14:54:06","indexId":"70179439","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Observed and simulated hydrologic response for a first-order catchment during extreme rainfall 3 years after wildfire disturbance","docAbstract":"Hydrologic response to extreme rainfall in disturbed landscapes is poorly understood because of the paucity of measurements. A unique opportunity presented itself when extreme rainfall in September 2013 fell on a headwater catchment (i.e., <1 ha) in Colorado, USA that had previously been burned by a wildfire in 2010. We compared measurements of soil-hydraulic properties, soil saturation from subsurface sensors, and estimated peak runoff during the extreme rainfall with numerical simulations of runoff \r\ngeneration and subsurface hydrologic response during this event. The simulations were used to explore differences in runoff generation between the wildfire-affected headwater catchment, a simulated unburned case, and for uniform versus spatially variable parameterizations of soil-hydraulic properties that affect infiltration and runoff generation in burned landscapes. Despite 3 years of elapsed time since the 2010 wildfire, observations and simulations pointed to substantial surface runoff generation in the wildfire-affected headwater catchment by the infiltration-excess mechanism while no surface runoff was generated in the unburned case. The surface runoff generation was the result of incomplete recovery of\r\nsoil-hydraulic properties in the burned area, suggesting recovery takes longer than 3 years. Moreover, spatially variable soil-hydraulic property parameterizations produced longer duration but lower peak-flow infiltration-excess runoff, compared to uniform parameterization, which may have important hillslope sediment export and geomorphologic implications during long duration, extreme rainfall. The majority of \r\nthe simulated surface runoff in the spatially variable cases came from connected near-channel contributing areas, which was a substantially smaller contributing area than the uniform simulations.","language":"English","publisher":"AGU","doi":"10.1002/2016WR019110","usgsCitation":"Ebel, B.A., Rengers, F.K., and Tucker, G.E., 2016, Observed and simulated hydrologic response for a first-order catchment during extreme rainfall 3 years after wildfire disturbance: Water Resources Research, v. 52, no. 12, p. 9367-9389, https://doi.org/10.1002/2016WR019110.","productDescription":"23 p.","startPage":"9367","endPage":"9389","ipdsId":"IP-075768","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470420,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/53059","text":"External Repository"},{"id":337656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-07","publicationStatus":"PW","scienceBaseUri":"58ca52cde4b0849ce97c86a2","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":657196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":657197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Gregory E.","contributorId":177811,"corporation":false,"usgs":false,"family":"Tucker","given":"Gregory","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657198,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184337,"text":"70184337 - 2016 - Deciduous trees are a large and overlooked sink for snowmelt water in the boreal forest","interactions":[],"lastModifiedDate":"2017-03-07T15:45:52","indexId":"70184337","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Deciduous trees are a large and overlooked sink for snowmelt water in the boreal forest","docAbstract":"<p><span>The terrestrial water cycle contains large uncertainties that impact our understanding of water budgets and climate dynamics. Water storage is a key uncertainty in the boreal water budget, with tree water storage often ignored. The goal of this study is to quantify tree water content during the snowmelt and growing season periods for Alaskan and western Canadian boreal forests. Deciduous trees reached saturation between snowmelt and leaf-out, taking up 21–25% of the available snowmelt water, while coniferous trees removed &lt;1%. We found that deciduous trees removed 17.8–20.9 billion m</span><sup>3</sup><span> of snowmelt water, which is equivalent to 8.7–10.2% of the Yukon River’s annual discharge. Deciduous trees transpired 2–12% (0.4–2.2 billion m</span><sup>3</sup><span>) of the absorbed snowmelt water immediately after leaf-out, increasing favorable conditions for atmospheric convection, and an additional 10–30% (2.0–5.2 billion m</span><sup>3</sup><span>) between leaf-out and mid-summer. By 2100, boreal deciduous tree area is expected to increase by 1–15%, potentially resulting in an additional 0.3–3 billion m</span><sup>3</sup><span> of snowmelt water removed from the soil per year. This study is the first to show that deciduous tree water uptake of snowmelt water represents a large but overlooked aspect of the water balance in boreal watersheds.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/srep29504","usgsCitation":"Young, J., Bolton, W.R., Bhatt, U., Cristobal, J., and Thoman, R., 2016, Deciduous trees are a large and overlooked sink for snowmelt water in the boreal forest: Scientific Reports, v. 6, p. 1-10, https://doi.org/10.1038/srep29504.","productDescription":"Article 29504; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-070469","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":470389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep29504","text":"Publisher Index Page"},{"id":336967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-12","publicationStatus":"PW","scienceBaseUri":"58bfd4f1e4b014cc3a3ba490","contributors":{"authors":[{"text":"Young, Jessica jmyoung@usgs.gov","contributorId":187609,"corporation":false,"usgs":true,"family":"Young","given":"Jessica","email":"jmyoung@usgs.gov","affiliations":[],"preferred":true,"id":681043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolton, W. Robert","contributorId":187610,"corporation":false,"usgs":false,"family":"Bolton","given":"W.","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":681044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhatt, Uma","contributorId":187611,"corporation":false,"usgs":false,"family":"Bhatt","given":"Uma","affiliations":[],"preferred":false,"id":681045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cristobal, Jordi","contributorId":187612,"corporation":false,"usgs":false,"family":"Cristobal","given":"Jordi","email":"","affiliations":[],"preferred":false,"id":681046,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thoman, Richard","contributorId":187613,"corporation":false,"usgs":false,"family":"Thoman","given":"Richard","affiliations":[],"preferred":false,"id":681047,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70181015,"text":"70181015 - 2016 - Genome sequence of the photoarsenotrophic bacterium Ectothiorhodospira sp. strain BSL-9, isolated from a hypersaline alkaline arsenic-rich extreme environment","interactions":[],"lastModifiedDate":"2017-02-20T12:12:06","indexId":"70181015","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5099,"text":"Genome Announcements","active":true,"publicationSubtype":{"id":10}},"title":"Genome sequence of the photoarsenotrophic bacterium Ectothiorhodospira sp. strain BSL-9, isolated from a hypersaline alkaline arsenic-rich extreme environment","docAbstract":"<p><span>The full genome sequence of </span><i>Ectothiorhodospira</i><span> sp. strain BSL-9 is reported here. This purple sulfur bacterium encodes an </span><i>arxA</i><span>-type arsenite oxidase within the </span><i>arxB2AB1CD</i><span> gene island and is capable of carrying out “photoarsenotrophy” anoxygenic photosynthetic arsenite oxidation. Its genome is composed of 3.5&nbsp;Mb and has approximately 63% G+C content.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/genomeA.01139-16","usgsCitation":"Hernandez-Maldonado, J., Stoneburner, B., Boren, A., Miller, L., Rosen, M.R., Oremland, R.S., and Saltikov, C.W., 2016, Genome sequence of the photoarsenotrophic bacterium Ectothiorhodospira sp. strain BSL-9, isolated from a hypersaline alkaline arsenic-rich extreme environment: Genome Announcements, v. 4, no. 5, p. 1-2, https://doi.org/10.1128/genomeA.01139-16.","productDescription":"e01139-16; 2 p.","startPage":"1","endPage":"2","ipdsId":"IP-079139","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470386,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/genomea.01139-16","text":"Publisher Index Page"},{"id":335840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ac0e2de4b0ce4410e7d5f6","contributors":{"authors":[{"text":"Hernandez-Maldonado, Jaime","contributorId":179303,"corporation":false,"usgs":false,"family":"Hernandez-Maldonado","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":663289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stoneburner, Brendon","contributorId":174071,"corporation":false,"usgs":false,"family":"Stoneburner","given":"Brendon","email":"","affiliations":[{"id":27354,"text":"University of California Santa Cruz, Department of Microbiology and Environmental Toxicology","active":true,"usgs":false}],"preferred":false,"id":663290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boren, Alison","contributorId":174072,"corporation":false,"usgs":false,"family":"Boren","given":"Alison","email":"","affiliations":[],"preferred":false,"id":663291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Laurence lgmiller@usgs.gov","contributorId":145772,"corporation":false,"usgs":true,"family":"Miller","given":"Laurence","email":"lgmiller@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":663293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Saltikov, Chad W","contributorId":179304,"corporation":false,"usgs":false,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":663294,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70182493,"text":"70182493 - 2016 - Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains","interactions":[],"lastModifiedDate":"2017-04-07T14:33:04","indexId":"70182493","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains","docAbstract":"<p><ul><li>Level 3 soil moisture datasets from the recently launched Soil Moisture Active Passive (SMAP) satellite are evaluated for drought monitoring in rangelands.<br></li><li>Validation of SMAP soil moisture (SSM) with <i>in situ</i> and modeled estimates showed high level of agreement.<br></li><li>SSM showed the highest correlation with surface soil moisture (0-5 cm) and a strong correlation to depths up to 20 cm.<br></li><li>SSM showed a reliable and expected response of capturing seasonal dynamics in relation to precipitation, land surface temperature, and evapotranspiration.<br></li><li>Further evaluation using multi-year SMAP datasets is necessary to quantify the full benefits and limitations for drought monitoring in rangelands.<br></li></ul></p><p><br></p><p></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rala.2016.06.002","usgsCitation":"Velpuri, N.M., Senay, G.B., and Morisette, J.T., 2016, Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains: Rangelands, v. 38, no. 4, p. 183-190, https://doi.org/10.1016/j.rala.2016.06.002.","productDescription":"8 p.","startPage":"183","endPage":"190","ipdsId":"IP-075375","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470359,"rank":0,"type":{"id":40,"text":"Open 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 \"}}]}","volume":"38","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b002c6e4b01ccd54fb27c9","contributors":{"authors":[{"text":"Velpuri, Naga Manohar 0000-0002-6370-1926 nvelpuri@usgs.gov","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":166813,"corporation":false,"usgs":true,"family":"Velpuri","given":"Naga","email":"nvelpuri@usgs.gov","middleInitial":"Manohar","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":671253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":671254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":671255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184187,"text":"70184187 - 2016 - Summary of SPT based field case history data of CETIN (2016) database","interactions":[],"lastModifiedDate":"2017-03-16T12:09:49","indexId":"70184187","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesNumber":"METU / GTENG 08/16-01","title":"Summary of SPT based field case history data of CETIN (2016) database","docAbstract":"<p>This report provides documentation of the Cetin et al. (2016) field performance case histories, probabilistic maximum likelihood assessment and the sources of differences between the liquefaction triggering resistance estimations (CRR values) of the widely used liquefaction triggering relationships of Seed et al. (1985), Cetin et al. (2004, 2016) and Boulanger and Idriss (2012). </p><p>Cetin et al. (2016-a) presented a concise summary of the improved database and the updated triggering relationships. For the sake of completeness, as part of Chapter 2 of this report, Cetin et al. (2016-a) manuscript is re-presented, as edited to include the electronic supplements, and a broader and more detailed documentation of all of case histories. This broader and more detailed documentation along with the interpretations of other researchers is presented in Appendix A. Similarly, site response analyses details and results from Cetin (2000) is re-presented in Appendix B. To enable the readers to quickly refer to Cetin and Seed (2004), it is also included in Appendix C. </p><p>The sources of differences between the liquefaction triggering resistance estimations (CRR values) of the widely used liquefaction triggering relationships of Seed et al. (1985), Cetin et al. (2004) and Boulanger and Idriss (2012) were discussed in Cetin et al. (2016-b). Again, for the sake of completeness, as part of Chapter 3 of this report, Cetin et al. (2016-b) manuscript is re-presented, as edited to the include of electronic supplements, and a detailed response to issues addressed by Idriss and Boulanger (2012). Also, the technical response letter (Cetin, 2014) prepared at the request of the members of the NRC Committee on the State of the Art and Practice in Earthquake Induced Soil Liquefaction Assessment, is given in Appendix D, which is helpful to follow the technical discussions. </p><p>This report is intended only as a concise summary of a vast amount of data. The interpretations presented are those of the research team. A more detailed description of some of the details of the methods and procedures used to evaluate and analyze these field performance case histories is also presented in Cetin (2000) and Cetin et al. (2000) though the final evaluations presented in this report are the most recent interpretations undertaken under these current studies. </p>","language":"English","publisher":"Middle East Technical University","usgsCitation":"Onder Cetin, K., Seed, R., Kayen, R., Moss, R., Bilge, H.T., Ilgac, M., and Chowdhury, K., 2016, Summary of SPT based field case history data of CETIN (2016) database, ii, 120 p., Appendices.","productDescription":"ii, 120 p., Appendices","numberOfPages":"703","ipdsId":"IP-072851","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":337737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58cba41ae4b0849ce97dc740","contributors":{"authors":[{"text":"Onder Cetin, K.","contributorId":189414,"corporation":false,"usgs":false,"family":"Onder Cetin","given":"K.","email":"","affiliations":[],"preferred":false,"id":684771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seed, Raymond B.","contributorId":62162,"corporation":false,"usgs":true,"family":"Seed","given":"Raymond B.","affiliations":[],"preferred":false,"id":684772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kayen, Robert E. rkayen@usgs.gov","contributorId":2787,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert E.","email":"rkayen@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":684773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moss, Robb E. S.","contributorId":146591,"corporation":false,"usgs":false,"family":"Moss","given":"Robb E. S.","affiliations":[{"id":16725,"text":"California Polytechnic State University, San Luis Obispo","active":true,"usgs":false}],"preferred":false,"id":684774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bilge, H. Tolga","contributorId":189416,"corporation":false,"usgs":false,"family":"Bilge","given":"H.","email":"","middleInitial":"Tolga","affiliations":[],"preferred":false,"id":684775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ilgac, Makbule","contributorId":189417,"corporation":false,"usgs":false,"family":"Ilgac","given":"Makbule","affiliations":[],"preferred":false,"id":684776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chowdhury, Khaled","contributorId":189418,"corporation":false,"usgs":false,"family":"Chowdhury","given":"Khaled","affiliations":[],"preferred":false,"id":684777,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70184183,"text":"70184183 - 2016 - Topographic and fire weather controls of fire refugia in forested ecosystems of northwestern North America","interactions":[],"lastModifiedDate":"2018-03-27T09:54:46","indexId":"70184183","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Topographic and fire weather controls of fire refugia in forested ecosystems of northwestern North America","docAbstract":"Fire refugia, sometimes referred to as fire islands, shadows, skips, residuals, or fire remnants, are an important element of the burn mosaic, but we lack a quantitative framework that links observations of fire refugia from different environmental contexts. Here, we develop and test a conceptual model for how predictability of fire refugia varies according to topographic complexity and fire weather conditions. Refugia were quantified as areas unburned or burned at comparatively low severity based on remotely sensed burn severity data. We assessed the relationship between refugia and a suite of terrain-related explanatory metrics by fitting a collection of boosted regression tree models. The models were developed\nfor seven study fires that burned in conifer-dominated forested landscapes of the Western Cordillera of Canada between 2001 and 2014. We fit nine models, each for distinct levels of fire weather and terrain ruggedness. Our framework revealed that the predictability and abundance of fire refugia varied among these environmental settings. We observed highest predictability under moderate fire weather conditions and moderate terrain ruggedness (ROC-AUC = 0.77), and lowest predictability in flatter landscapes and under high fire weather conditions (ROC-AUC = 0.63–0.68). Catchment slope, local aspect, relative position, topographic wetness, topographic convergence, and local slope all contributed to discriminating where refugia occur but the relative importance of these topographic controls differed among environments. Our framework allows us to characterize the predictability of contemporary fire refugia across multiple environmental settings and provides important insights for ecosystem resilience, wildfire management, conservation planning, and climate change adaptation.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1632","usgsCitation":"Krawchuk, M.A., Haire, S.L., Coop, J.D., Parisien, M., Whitman, E., Chong, G.W., and Miller, C., 2016, Topographic and fire weather controls of fire refugia in forested ecosystems of northwestern North America: Ecosphere, v. 7, no. 12, p. 1-18, https://doi.org/10.1002/ecs2.1632.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-074382","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":462015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1632","text":"Publisher Index Page"},{"id":336773,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-29","publicationStatus":"PW","scienceBaseUri":"58b7eba4e4b01ccd5500baeb","contributors":{"authors":[{"text":"Krawchuk, Meg A.","contributorId":187425,"corporation":false,"usgs":false,"family":"Krawchuk","given":"Meg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":680389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haire, Sandra L.","contributorId":187426,"corporation":false,"usgs":false,"family":"Haire","given":"Sandra","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":680390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coop, Jonathan D.","contributorId":187427,"corporation":false,"usgs":false,"family":"Coop","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parisien, Marc-André","contributorId":187428,"corporation":false,"usgs":false,"family":"Parisien","given":"Marc-André","affiliations":[],"preferred":false,"id":680392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, Ellen","contributorId":187429,"corporation":false,"usgs":false,"family":"Whitman","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":680393,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chong, Geneva W. 0000-0003-3883-5153 geneva_chong@usgs.gov","orcid":"https://orcid.org/0000-0003-3883-5153","contributorId":419,"corporation":false,"usgs":true,"family":"Chong","given":"Geneva","email":"geneva_chong@usgs.gov","middleInitial":"W.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":680388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Carol","contributorId":187430,"corporation":false,"usgs":false,"family":"Miller","given":"Carol","email":"","affiliations":[],"preferred":false,"id":680394,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193722,"text":"70193722 - 2016 - A new strategy for earthquake focal mechanisms using waveform-correlation-derived relative polarities and cluster analysis: Application to the 2014 Long Valley Caldera earthquake swarm","interactions":[],"lastModifiedDate":"2017-11-04T13:27:11","indexId":"70193722","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"A new strategy for earthquake focal mechanisms using waveform-correlation-derived relative polarities and cluster analysis: Application to the 2014 Long Valley Caldera earthquake swarm","docAbstract":"<p>In microseismicity analyses, reliable focal mechanisms can typically be obtained for only a small subset of located events. We address this limitation here, presenting a framework for determining robust focal mechanisms for entire populations of very small events. To achieve this, we resolve relative <i>P</i> and <i>S</i> wave polarities between pairs of waveforms by using their signed correlation coefficients—a by-product of previously performed precise earthquake relocation. We then use cluster analysis to group events with similar patterns of polarities across the network. Finally, we apply a standard mechanism inversion to the grouped data, using either catalog or correlation-derived <i>P</i> wave polarity data sets. This approach has great potential for enhancing analyses of spatially concentrated microseismicity such as earthquake swarms, mainshock-aftershock sequences, and industrial reservoir stimulation or injection-induced seismic sequences. To demonstrate its utility, we apply this technique to the 2014 Long Valley Caldera earthquake swarm. In our analysis, 85% of the events (7212 out of 8494 located by <i>Shelly et al</i>. [2016]) fall within five well-constrained mechanism clusters, more than 12 times the number with network-determined mechanisms. Of the earthquakes we characterize, 3023 (42%) have magnitudes smaller than 0.0. We find that mechanism variations are strongly associated with corresponding hypocentral structure, yet mechanism heterogeneity also occurs where it cannot be resolved by hypocentral patterns, often confined to small-magnitude events. Small (5–20°) rotations between mechanism orientations and earthquake location trends persist when we apply 3-D velocity models and might reflect a geometry of en echelon, interlinked shear, and dilational faulting.</p>","language":"English","publisher":"AGU","doi":"10.1002/2016JB013437","usgsCitation":"Shelly, D.R., Hardebeck, J.L., Ellsworth, W.L., and Hill, D.P., 2016, A new strategy for earthquake focal mechanisms using waveform-correlation-derived relative polarities and cluster analysis: Application to the 2014 Long Valley Caldera earthquake swarm: Journal of Geophysical Research B: Solid Earth, v. 121, no. 12, p. 8622-8641, https://doi.org/10.1002/2016JB013437.","productDescription":"20 p.","startPage":"8622","endPage":"8641","ipdsId":"IP-078358","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","volume":"121","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-03","publicationStatus":"PW","scienceBaseUri":"59fedfb4e4b0531197b573c4","contributors":{"authors":[{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":720061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":720062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, David P. hill@usgs.gov","contributorId":2600,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"hill@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":720063,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193725,"text":"70193725 - 2016 - Shallow and deep controls on lava lake surface motion at Kīlauea Volcano","interactions":[],"lastModifiedDate":"2017-11-04T13:15:12","indexId":"70193725","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Shallow and deep controls on lava lake surface motion at Kīlauea Volcano","docAbstract":"<p>Lava lakes provide a rare window into magmatic behavior, and lake surface motion has been used to infer deeper properties of the magmatic system. At Halema'uma'u Crater, at the summit of Kīlauea Volcano, multidisciplinary observations for the past several years indicate that lava lake surface motion can be broadly divided into two regimes: 1) stable and 2) unstable. Stable behavior is driven by lava upwelling from deeper in the lake (presumably directly from the conduit) and is an intrinsic process that drives lava lake surface motion most of the time. This stable behavior can be interrupted by periods of unstable flow (often reversals) driven by spattering – a shallowly-rooted process often extrinsically triggered by small rockfalls from the crater wall. The bursting bubbles at spatter sources create void spaces and a localized surface depression which draws and consumes surrounding surface crust. Spattering is therefore a location of lava downwelling, not upwelling. Stable (i.e. deep, upwelling-driven) and unstable (i.e. shallow, spattering-driven) behavior often alternate through time, have characteristic surface velocities, flow directions and surface temperature regimes, and also correspond to changes in spattering intensity, outgassing rates, lava level and seismic tremor. These results highlight that several processes, originating at different depths, can control the motion of the lava lake surface, and long-term interdisciplinary monitoring is required to separate these influences. These observations indicate that lake surface motion is not always a reliable proxy for deeper lake or magmatic processes. From these observations, we suggest that shallow outgassing (spattering), not lake convection, drives the variations in lake motion reported at Erta 'Ale lava lake.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2016.11.010","usgsCitation":"Patrick, M.R., Orr, T.R., Swanson, D., and Lev, E., 2016, Shallow and deep controls on lava lake surface motion at Kīlauea Volcano: Journal of Volcanology and Geothermal Research, v. 328, p. 247-261, https://doi.org/10.1016/j.jvolgeores.2016.11.010.","productDescription":"14 p.","startPage":"247","endPage":"261","ipdsId":"IP-070597","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470375,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2016.11.010","text":"Publisher Index Page"},{"id":348192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Halema`uma`u Crater, Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.3070259094238,\n              19.38224724763325\n            ],\n            [\n              -155.22977828979492,\n              19.38224724763325\n            ],\n            [\n              -155.22977828979492,\n              19.446198036283963\n            ],\n            [\n              -155.3070259094238,\n              19.446198036283963\n            ],\n            [\n              -155.3070259094238,\n              19.38224724763325\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"328","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fedfb4e4b0531197b573c2","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":720080,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192211,"text":"70192211 - 2016 - A possible source mechanism of the 1946 Unimak Alaska far-field tsunami, uplift of the mid-slope terrace above a splay fault zone","interactions":[],"lastModifiedDate":"2018-01-08T12:39:20","indexId":"70192211","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3208,"text":"Pure and Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"A possible source mechanism of the 1946 Unimak Alaska far-field tsunami, uplift of the mid-slope terrace above a splay fault zone","docAbstract":"<p><span>In 1946, megathrust seismicity along the Unimak segment of the Alaska subduction zone generated the largest ever recorded Alaska/Aleutian tsunami. The tsunami severely damaged Pacific islands and coastal areas from Alaska to Antarctica. It is the charter member of “tsunami” earthquakes that produce outsized far-field tsunamis for the recorded magnitude. Its source mechanisms were unconstrained by observations because geophysical data for the Unimak segment were sparse and of low resolution. Reprocessing of legacy geophysical data reveals a deep water, high-angle reverse or splay thrust fault zone that leads megathrust slip upward to the mid-slope terrace seafloor rather than along the plate boundary toward the trench axis. Splay fault uplift elevates the outer mid-slope terrace and its inner area subsides. Multibeam bathymetry along the splay fault zone shows recent but undated seafloor disruption. The structural configuration of the nearby Semidi segment is similar to that of the Unimak segment, portending generation of a future large tsunami directed toward the US West coast.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00024-016-1393-x","usgsCitation":"von Huene, R.E., Miller, J.J., Klaeschen, D., and Dartnell, P., 2016, A possible source mechanism of the 1946 Unimak Alaska far-field tsunami, uplift of the mid-slope terrace above a splay fault zone: Pure and Applied Geophysics, v. 173, no. 12, p. 4189-4201, https://doi.org/10.1007/s00024-016-1393-x.","productDescription":"13 p.","startPage":"4189","endPage":"4201","ipdsId":"IP-078916","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347112,"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              -168,\n              52\n            ],\n            [\n              -154,\n              52\n            ],\n            [\n              -154,\n              58\n            ],\n            [\n              -168,\n              58\n            ],\n            [\n              -168,\n              52\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"173","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-22","publicationStatus":"PW","scienceBaseUri":"59eeffaae4b0220bbd988fbd","contributors":{"authors":[{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":714821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, John J. 0000-0002-9098-0967 jjmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":5759,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jjmiller@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":714822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaeschen, Dirk","contributorId":198022,"corporation":false,"usgs":false,"family":"Klaeschen","given":"Dirk","email":"","affiliations":[],"preferred":false,"id":714823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":714824,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185064,"text":"70185064 - 2016 - Modeling the effects of tile drain placement on the hydrologic function of farmed prairie wetlands","interactions":[],"lastModifiedDate":"2017-03-14T11:39:36","indexId":"70185064","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Modeling the effects of tile drain placement on the hydrologic function of farmed prairie wetlands","docAbstract":"<p><span>The early 2000s saw large increases in agricultural tile drainage in the eastern Dakotas of North America. Agricultural practices that drain wetlands directly are sometimes limited by wetland protection programs. Little is known about the impacts of tile drainage beyond the delineated boundaries of wetlands in upland catchments that may be in agricultural production. A series of experiments were conducted using the well-published model WETLANDSCAPE that revealed the potential for wetlands to have significantly shortened surface water inundation periods and lower mean depths when tile is placed in certain locations beyond the wetland boundary. Under the soil conditions found in agricultural areas of South Dakota in North America, wetland hydroperiod was found to be more sensitive to the depth that drain tile is installed relative to the bottom of the wetland basin than to distance-based setbacks. Because tile drainage can change the hydrologic conditions of wetlands, even when deployed in upland catchments, tile drainage plans should be evaluated more closely for the potential impacts they might have on the ecological services that these wetlands currently provide. Future research should investigate further how drainage impacts are affected by climate variability and change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12471","usgsCitation":"Werner, B., Tracy, J., Johnson, W.C., Voldseth, R.A., Guntenspergen, G.R., and Millett, B., 2016, Modeling the effects of tile drain placement on the hydrologic function of farmed prairie wetlands: Journal of the American Water Resources Association, v. 52, no. 6, p. 1482-1492, https://doi.org/10.1111/1752-1688.12471.","productDescription":"11 p.","startPage":"1482","endPage":"1492","ipdsId":"IP-067298","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488561,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.unl.edu/usgsstaffpub/1156","text":"External Repository"},{"id":337490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-29","publicationStatus":"PW","scienceBaseUri":"58c90124e4b0849ce97abcc1","contributors":{"authors":[{"text":"Werner, Brett","contributorId":189217,"corporation":false,"usgs":false,"family":"Werner","given":"Brett","email":"","affiliations":[],"preferred":false,"id":684132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tracy, John","contributorId":189218,"corporation":false,"usgs":false,"family":"Tracy","given":"John","email":"","affiliations":[],"preferred":false,"id":684133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, W. Carter","contributorId":189219,"corporation":false,"usgs":false,"family":"Johnson","given":"W.","email":"","middleInitial":"Carter","affiliations":[],"preferred":false,"id":684134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voldseth, Richard A.","contributorId":189220,"corporation":false,"usgs":false,"family":"Voldseth","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":684131,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Millett, Bruce","contributorId":189221,"corporation":false,"usgs":false,"family":"Millett","given":"Bruce","email":"","affiliations":[],"preferred":false,"id":684136,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185058,"text":"70185058 - 2016 - Avoiding decline: Fostering resilience and sustainability in midsize cities","interactions":[],"lastModifiedDate":"2017-03-13T15:17:51","indexId":"70185058","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Avoiding decline: Fostering resilience and sustainability in midsize cities","docAbstract":"<p><span>Eighty-five percent of United States citizens live in urban areas. However, research surrounding the resilience and sustainability of complex urban systems focuses largely on coastal megacities (&gt;1 million people). Midsize cities differ from their larger counterparts due to tight urban-rural feedbacks with their immediate natural environments that result from heavy reliance and close management of local ecosystem services. They also may be less path-dependent than larger cities due to shorter average connection length among system components, contributing to higher responsiveness among social, infrastructural, and ecological feedbacks. These distinct midsize city features call for a framework that organizes information and concepts concerning the sustainability of midsize cities specifically. We argue that an integrative approach is necessary to capture properties emergent from the complex interactions of the social, infrastructural, and ecological subsystems that comprise a city system. We suggest approaches to estimate the relative resilience of midsize cities, and include an example assessment to illustrate one such estimation approach. Resilience assessments of a midsize city can be used to examine why some cities end up on sustainable paths while others diverge to unsustainable paths, and which feedbacks may be partially responsible. They also provide insight into how city planners and decision makers can use information about the resilience of midsize cities undergoing growth or shrinkage relative to their larger and smaller counterparts, to transform them into long-term, sustainable social-ecological systems.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/su8090844","usgsCitation":"Allen, C.R., Birge, H.E., Bartelt-Hunt, S., Bevans, R.A., Burnett, J., Cosens, B., Cai, X., Garmestani, A.S., Linkov, I., Scott, E.A., Solomon, M.D., and Uden, D.R., 2016, Avoiding decline: Fostering resilience and sustainability in midsize cities: Sustainability, v. 8, no. 9, https://doi.org/10.3390/su8090844.","ipdsId":"IP-076510","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470367,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su8090844","text":"Publisher Index Page"},{"id":337457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-26","publicationStatus":"PW","scienceBaseUri":"58c7af9be4b0849ce9795e76","contributors":{"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":684108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birge, Hannah E.","contributorId":166737,"corporation":false,"usgs":false,"family":"Birge","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":684141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartelt-Hunt, Shannon","contributorId":189223,"corporation":false,"usgs":false,"family":"Bartelt-Hunt","given":"Shannon","email":"","affiliations":[],"preferred":false,"id":684142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bevans, Rebecca A.","contributorId":189134,"corporation":false,"usgs":false,"family":"Bevans","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burnett, Jessica","contributorId":189224,"corporation":false,"usgs":false,"family":"Burnett","given":"Jessica","affiliations":[],"preferred":false,"id":684144,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cosens, Barbara","contributorId":166744,"corporation":false,"usgs":false,"family":"Cosens","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":684145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cai, Ximing","contributorId":149230,"corporation":false,"usgs":false,"family":"Cai","given":"Ximing","email":"","affiliations":[{"id":17685,"text":"University of Illinois, Champagne-Urbana","active":true,"usgs":false}],"preferred":false,"id":684146,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684147,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Linkov, Igor","contributorId":172407,"corporation":false,"usgs":false,"family":"Linkov","given":"Igor","email":"","affiliations":[],"preferred":false,"id":684148,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Scott, Elizabeth A.","contributorId":189225,"corporation":false,"usgs":false,"family":"Scott","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":684149,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Solomon, Mark D.","contributorId":189226,"corporation":false,"usgs":false,"family":"Solomon","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":684150,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":684151,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70185049,"text":"70185049 - 2016 - Comment on “Reconciliation of the Devils Hole climate record with orbital forcing”","interactions":[],"lastModifiedDate":"2017-03-13T16:11:08","indexId":"70185049","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Comment on “Reconciliation of the Devils Hole climate record with orbital forcing”","docAbstract":"<p><span>Moseley </span><i>et al</i><span>. (Reports, 8 January 2016, p. 165) postulate an increase in dissolved thorium isotope </span><sup>230</sup><span>Th with depth below the water table as the explanation for the differing ages of Termination II. Flow of geothermal water through the Devils Hole caverns precludes this explanation. Deposition of younger secondary calcite into the initial porosity of the calcite comprising their cores is a plausible alternate explanation.</span></p>","language":"English","publisher":"Science","doi":"10.1126/science.aaf7718","usgsCitation":"Winograd, I.J., 2016, Comment on “Reconciliation of the Devils Hole climate record with orbital forcing”: Science, v. 354, no. 6310, p. 296-296, https://doi.org/10.1126/science.aaf7718.","productDescription":"1 p.","startPage":"296","endPage":"296","ipdsId":"IP-075099","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470390,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/science.aaf7718","text":"Publisher Index Page"},{"id":337466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"354","issue":"6310","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9ce4b0849ce9795e78","contributors":{"authors":[{"text":"Winograd, Isaac J. ijwinogr@usgs.gov","contributorId":4643,"corporation":false,"usgs":true,"family":"Winograd","given":"Isaac","email":"ijwinogr@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":684074,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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The Kemp’s ridley demographic model developed by the Turtle Expert Working Group (TEWG) in 1998 and 2000 and updated for the binational recovery plan in 2011 was modified for use as our base model. The TEWG model uses indices of the annual reproductive population (number of nests) and hatchling recruitment to predict future annual numbers of nests on the basis of a series of assumptions regarding age and maturity, remigration interval, sex ratios, nests per female, juvenile mortality, and a putative ‘‘turtle excluder device effect’’ multiplier starting in 1990. This multiplier was necessary to fit the number of nests observed in 1990 and later. We added the effects of shrimping effort directly, modified by habitat weightings, as a proxy for all sources of anthropogenic mortality. Additional data included in our model were incremental growth of Kemp’s ridleys marked and recaptured in the Gulf of Mexico, and the length frequency of stranded Kemp’s ridleys. We also added a 2010 mortality factor that was necessary to fit the number of nests for 2010 and later (2011 and 2012). Last, we used an empirical basis for estimating natural mortality, on the basis of a Lorenzen mortality curve and growth estimates. Although our model generated reasonable estimates of annual total turtle deaths attributable to shrimp trawling, as well as additional deaths due to undetermined anthropogenic causes in 2010, we were unable to provide a clear explanation for the observed increase in the number of stranded Kemp’s ridleys in recent years, and subsequent disruption of the species’ exponential growth since the 2009 nesting season. Our consensus is that expanded data collection at the nesting beaches is needed and of high priority, and that 2015 be targeted for the next stock assessment to evaluate the 2010 event using more recent nesting and in-water data.</span></p>","language":"English","publisher":"Gulf of Mexico Science","doi":"10.18785/goms.3302.03","usgsCitation":"Gallaway, B.J., Gazey, W., Caillouet, C.W., Plotkin, P.T., Abreu Grobois, F.A., Amos, A.F., Burchfield, P.M., Carthy, R.R., Castro Martinez, M.A., Cole, J.G., Coleman, A.T., Cook, M., DiMarco, S.F., Epperly, S.P., Fujiwara, M., Gamez, D.G., Graham, G.L., Griffin, W.L., Illescas Martinez, F., Lamont, M.M., Lewison, R.L., Lohmann, K.J., Nance, J.M., Pitchford, J., Putman, N.F., Raborn, S.W., Rester, J.K., Rudloe, J.J., Sarti Martinez, L., Schexnayder, M., Schmid, J.R., Shaver, D.J., Slay, C., Tucker, A.D., Tumlin, M., Wibbels, T., and Zapata Najera, B.M., 2016, Development of a Kemp’s ridley sea turtle stock assessment model: Gulf of Mexico 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,{"id":70192492,"text":"70192492 - 2016 - Satellite-derived temperature data for monitoring water status in a floodplain forest of the Upper Sabine River, Texas","interactions":[],"lastModifiedDate":"2017-10-26T12:23:04","indexId":"70192492","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-derived temperature data for monitoring water status in a floodplain forest of the Upper Sabine River, Texas","docAbstract":"<p><span>Decreased water availability due to hydrologic modifications, groundwater withdrawal, and climate change threaten bottomland hardwood (BLH) forest communities. We used satellite-derived (MODIS) land-surface temperature (LST) data to investigate spatial heterogeneity of canopy temperature (an indicator of plant-water status) in a floodplain forest of the upper Sabine River for 2008–2014. High LST pixels were generally further from the river and at higher topographic locations, indicating lower water-availability. Increasing rainfall-derived soil moisture corresponded with decreased heterogeneity of LST between pixels but there was weaker association between Sabine River stage and heterogeneity. Stronger dependence of LST convergence on rainfall rather than river flow suggests that some regions are less hydrologically connected to the river, and vegetation may rely on local precipitation and other contributions to the riparian aquifer to replenish soil moisture. Observed LST variations associated with hydrology encourage further investigation of the utility of this approach for monitoring forest stress, especially with considerations of climate change and continued river management.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.015.0sp911","usgsCitation":"Lemon, M.G., Allen, S.T., Edwards, B., King, S.L., and Keim, R., 2016, Satellite-derived temperature data for monitoring water status in a floodplain forest of the Upper Sabine River, Texas: Southeastern Naturalist, v. 15, no. sp9, p. 90-102, https://doi.org/10.1656/058.015.0sp911.","productDescription":"13 p.","startPage":"90","endPage":"102","ipdsId":"IP-066074","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Upper Sabine River","volume":"15","issue":"sp9","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e98de4b09af898c8cc2c","contributors":{"authors":[{"text":"Lemon, Mary Grace T.","contributorId":198501,"corporation":false,"usgs":false,"family":"Lemon","given":"Mary","email":"","middleInitial":"Grace T.","affiliations":[],"preferred":false,"id":716258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Scott T.","contributorId":168409,"corporation":false,"usgs":false,"family":"Allen","given":"Scott","email":"","middleInitial":"T.","affiliations":[{"id":25282,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":716259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Brandon L.","contributorId":35231,"corporation":false,"usgs":true,"family":"Edwards","given":"Brandon L.","affiliations":[],"preferred":false,"id":716260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keim, Richard F.","contributorId":21858,"corporation":false,"usgs":true,"family":"Keim","given":"Richard F.","affiliations":[],"preferred":false,"id":716261,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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