{"pageNumber":"1043","pageRowStart":"26050","pageSize":"25","recordCount":184717,"records":[{"id":70216839,"text":"70216839 - 2016 - Fire and drought","interactions":[],"lastModifiedDate":"2020-12-09T14:46:59.175867","indexId":"70216839","displayToPublicDate":"2016-12-31T08:33:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"Fire and drought","docAbstract":"<p><span>Historical and presettlement relationships between drought and wildfire have been well documented in much of North America, with forest fire occurrence and area burned clearly increasing in response to drought. Drought interacts with other controls (forest productivity, topography, and fire weather) to affect fire intensity and severity. Fire regime characteristics (area, frequency, severity) are the product of many individual fires, so both weather and climate - including short- and long-term droughts - are important. It is worth noting, however, that the factors controlling fire events and fire regimes are complex and extend beyond drought and climate alone, and so fire regimes and wildfires are affected by other variables from local-to-global scales. Fire history evidence from diverse climate regimes and forest ecosystems suggests that North American forest fire regimes were moderately to strongly controlled by climate prior to Euro-American settlement and subsequent fire exclusion and fire suppression (Flatley and others 2013, Hessl and others 2004, Heyerdahl and others 2002, Heyerdahl and others 2008, Swetnam 1990, Swetnam and Betancourt 1998, Weisberg and Swanson 2003). These presettlement fire histories indicate a relationship between low precipitation anomalies and widespread fire activity, especially in the Western United States. This is consistent with a regional depletion of soil and atmospheric moisture, which leads to low moisture in foliage and surface fuels and ultimately to the potential for widespread fire (Swetnam and Betancourt 1998). Some fire histories in the American Southwest also demonstrate a lagged relationship with above-average antecedent precipitation (Swetnam and Betancourt 1998) and/or cooler temperatures (Veblen and others 2000) in the year(s) prior to years of widespread fire. Most of these records are derived from fire-scarred trees that survived fire events and thus are primarily indicative of low- or mixedseverity fire regimes, although some work has focused also on evidence from high-severity fire regimes (Heyerdahl and others 2002).</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Effects of drought on forests and rangelands in the United States: A comprehensive science synthesis. Gen. Tech. Rep. WO-93b","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U. S. Department of Agriculture","usgsCitation":"Littell, J.S., Peterson, D.L., Riley, K.L., Liu, Y., and Luce, C., 2016, Fire and drought, chap. 7 <i>of</i> Effects of drought on forests and rangelands in the United States: A comprehensive science synthesis. Gen. Tech. Rep. WO-93b, p. 135-154.","productDescription":"20 p.","startPage":"135","endPage":"154","ipdsId":"IP-063793","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381166,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/50971"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":806572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, David L.","contributorId":94643,"corporation":false,"usgs":false,"family":"Peterson","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":806573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riley, Karin L.","contributorId":169453,"corporation":false,"usgs":false,"family":"Riley","given":"Karin","email":"","middleInitial":"L.","affiliations":[{"id":25512,"text":"US Forest Service Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":806574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Yongquiang Q.","contributorId":245592,"corporation":false,"usgs":false,"family":"Liu","given":"Yongquiang Q.","affiliations":[{"id":25513,"text":"USDA Forest Service Southern Research Station","active":true,"usgs":false}],"preferred":false,"id":806575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luce, Charles H.","contributorId":245593,"corporation":false,"usgs":false,"family":"Luce","given":"Charles H.","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":806576,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70181791,"text":"70181791 - 2016 - Lithobates sylvaticus (wood frog)","interactions":[],"lastModifiedDate":"2017-06-29T11:50:44","indexId":"70181791","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5443,"text":"Collinsorum","active":true,"publicationSubtype":{"id":10}},"title":"Lithobates sylvaticus (wood frog)","docAbstract":"A single specimen found southwest of Hattiesburg in Timberton (31.270391oN, 89.327675oW; WGS 84). 23 July 2015. Gary, Kat, and Ron Lukens. Verifi ed by Kenneth Krysko, Florida Museum of Natural History (UF-Herpetology 176455).\r\nThis species has never been recorded from the state of Mississippi before (Dodd 2013. Frogs of the United States and Canada – Volume 2. John Hopkins University Press, Baltimore, Maryland. 982 pp.). According to Dodd (2013),\r\nthe closest population is located in east central Alabama, approximately 400 km to the northeast, as documented by Davis and Folkerts (1986. Brimleyana 12:29-50).","language":"English","publisher":"Kansas Herpetological Society","usgsCitation":"Fuller, P., 2016, Lithobates sylvaticus (wood frog): Collinsorum, v. 5, no. 4, p. 17-17.","productDescription":"1 p.","startPage":"17","endPage":"17","ipdsId":"IP-067478","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":335332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335326,"type":{"id":15,"text":"Index Page"},"url":"https://www.cnah.org/khs/khs_pubs/Collinsorum_5_4.pdf"}],"country":"United States","state":"Mississippi","county":"Forrest County","city":"Timberton","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.35129165649414,\n              31.251038543971333\n            ],\n            [\n              -89.3020248413086,\n              31.251038543971333\n            ],\n            [\n              -89.3020248413086,\n              31.285152620835348\n            ],\n            [\n              -89.35129165649414,\n              31.285152620835348\n            ],\n            [\n              -89.35129165649414,\n              31.251038543971333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a4252ee4b0c825128ad3fc","contributors":{"authors":[{"text":"Fuller, Pam 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":167676,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam","email":"pfuller@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":668569,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70191647,"text":"70191647 - 2016 - Life history and status of Shortnose Sturgeon (Acipenser brevirostrum LeSueur, 1818)","interactions":[],"lastModifiedDate":"2018-01-05T16:14:36","indexId":"70191647","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Life history and status of Shortnose Sturgeon (<i>Acipenser brevirostrum </i> LeSueur, 1818)","title":"Life history and status of Shortnose Sturgeon (Acipenser brevirostrum LeSueur, 1818)","docAbstract":"Shortnose Sturgeon = SNS (Acipenser brevirostrum) is a small diadromous species with most populations living in large Atlantic coast rivers and estuaries of North America from New Brunswick, Canada, to GA, USA. There are no naturally landlocked populations, so all populations require access to fresh water and salt water to complete a natural life cycle. The species is amphidromous with use of fresh water and salt water (the estuary) varied across the species range, a pattern that may reflect whether freshwater or saltwater habitats provide optimal foraging and growth conditions. Migration is a dominant behavior during life history, beginning when fish are hatchling free embryos (southern SNS) or larvae (northeastern and far northern SNS). Migration continues by juveniles and nonspawning adult life stages on an individual time schedule with fish moving between natal river and estuary to forage or seek refuge, and by spawning adults migrating to and from riverine spawning grounds. Coastal movements by adults throughout the range (but particularly in the Gulf of Maine = GOM and among southern rivers) suggest widespread foraging, refuge use, and widespread colonization of new rivers. Colonization may also be occurring in the Potomac River, MD–VA–DC (midAtlantic region). Genetic studies (mtDNA and nDNA) identified distinct individual river populations of SNS, and recent rangewide nDNA studies identified five distinct evolutionary lineages of SNS in the USA: a northern metapopulation in GOM rivers; the Connecticut River; the Hudson River; a Delaware River–Chesapeake Bay metapopulation; and a large southern metapopulation (SC rivers to Altamaha River, GA). The Saint John River, NB, Canada, in the Bay of Fundy (north of the GOM), is the sixth distinct genetic lineage within SNS. Life history information from telemetry tracking supports the genetic information documenting extensive movement of adults among rivers within the three metapopulations. However, individual river populations with spawning adults are still the best basal unit for management and recovery planning. The focus on individual river populations should be complemented with attention to migratory processes and corridors that foster metapopulation level risks and benefits. The species may be extirpated at the center of the range, i.e., the midAtlantic region (Chesapeake Bay, MD–VA, and probably, NC), but large rivers in VA, including the James and Potomac rivers, need study. The largest SNS populations in GOM and northeastern rivers, like the Kennebec, Hudson, and Delaware rivers, typically have tens of thousands of adults. This contrasts with southern rivers, where rivers typically have much fewer (<2500) adults, except for the Altamaha River (>6000 adults). River damming in the 19th and 20th Centuries extirpated some populations, and also, created two dysfunctional segmented populations: the Connecticut River SNS in CT–MA and the SanteeCooper rivers–Lake Marion SNS in SC. The major anthropogenic impact on SNS in marine waters is fisheries bycatch. The major impacts that determine annual recruitment success occur in freshwater firstly, where adult spawning migrations and spawning are blocked or spawning success is affected by river regulation and secondly, where poor survival of early life stages is caused by river dredging, pollution, and unregulated impingement/entrainment in water withdrawal facilities. Climate warming has the potential to reduce abundance or eliminate SNS in many rivers, particularly in the South. In 1998, the National Marine Fisheries Service (NMFS) recommended management of 19 rivers as distinct population segments (DPSs) based on strong fidelity to natal rivers. A Biological Assessment completed in 2010 reaffirmed this approach. NMFS has not formally listed DPSs under the ESA and the species remains listed as endangered rangewide in the USA.","language":"English","publisher":"Wiley","doi":"10.1111/jai.13244","usgsCitation":"Kynard, B., Bolden, S., Kieffer, M., Collins, M., Brundage, H., Hilton, E., Litvak, M., Kinnison, M.T., King, T.L., and Peterson, D.C., 2016, Life history and status of Shortnose Sturgeon (Acipenser brevirostrum LeSueur, 1818): Journal of Applied Ichthyology, v. 32, no. 51, p. 208-248, https://doi.org/10.1111/jai.13244.","productDescription":"11 p.","startPage":"208","endPage":"248","ipdsId":"IP-049173","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470303,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/jai.13244","text":"External Repository"},{"id":350345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"32","issue":"51","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-16","publicationStatus":"PW","scienceBaseUri":"5a60fc66e4b06e28e9c23e22","contributors":{"authors":[{"text":"Kynard, Boyd","contributorId":197212,"corporation":false,"usgs":false,"family":"Kynard","given":"Boyd","affiliations":[],"preferred":false,"id":712954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolden, Stephania","contributorId":197213,"corporation":false,"usgs":false,"family":"Bolden","given":"Stephania","affiliations":[],"preferred":false,"id":712955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kieffer, Micah 0000-0001-9310-018X mkieffer@usgs.gov","orcid":"https://orcid.org/0000-0001-9310-018X","contributorId":2641,"corporation":false,"usgs":true,"family":"Kieffer","given":"Micah","email":"mkieffer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Mark","contributorId":197214,"corporation":false,"usgs":false,"family":"Collins","given":"Mark","email":"","affiliations":[],"preferred":false,"id":712956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brundage, Hal","contributorId":197215,"corporation":false,"usgs":false,"family":"Brundage","given":"Hal","email":"","affiliations":[],"preferred":false,"id":712957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilton, Eric","contributorId":197216,"corporation":false,"usgs":false,"family":"Hilton","given":"Eric","email":"","affiliations":[],"preferred":false,"id":712958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Litvak, Mark","contributorId":197217,"corporation":false,"usgs":false,"family":"Litvak","given":"Mark","email":"","affiliations":[],"preferred":false,"id":712959,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":712960,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712961,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peterson, Douglas C.","contributorId":140154,"corporation":false,"usgs":false,"family":"Peterson","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":712962,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70191678,"text":"70191678 - 2016 - A simple rubric for Stratigraphic Fidelity (β) of paleoenvironmental time series","interactions":[],"lastModifiedDate":"2017-10-25T12:42:00","indexId":"70191678","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"A simple rubric for Stratigraphic Fidelity (β) of paleoenvironmental time series","docAbstract":"The Pliocene, specifically the late Pliocene, has been a focus of paleoclimate research formore than 25 years. Synoptic regional\nand global reconstructions along with high-resolution time-series have produced nuanced conceptual models of paleoenvironmental\nconditions and enhanced our understanding of climate variability and climate sensitivity from the Late Pliocene, the most\nrecent interval of global warmth similar to what is projected for the end of the 21st century. These data are used as a source of boundary\nconditions for climate models as well as ameans of verification of global climate model experiments. In this note, we introduce a measure\nof stratigraphic fidelity, ß, used to characterize the chronology and achievable resolution of an ever-growing library of Pliocene\npaleoenvironmental time-series. The ß index serves as an aid to end-users by allowing selection of time-series that meet the stratigraphic\nrequirements of a particular study.","language":"English","publisher":"MicroPress","usgsCitation":"Dowsett, H.J., Robinson, M.M., and Foley, K.M., 2016, A simple rubric for Stratigraphic Fidelity (β) of paleoenvironmental time series: Stratigraphy, v. 13, no. 4, p. 303-305.","productDescription":"3 p.","startPage":"303","endPage":"305","ipdsId":"IP-086569","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":347351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346751,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-329"}],"volume":"13","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a6e4b0220bbd9d9f67","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":713039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":713040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":713041,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197252,"text":"70197252 - 2016 - Nonmarine facies in the Late Triassic(?) to Early Jurassic Horn Mountain Tuff member of the Talkeetna Formation, Horn Mountain, lower Cook Inlet basin, Alaska","interactions":[],"lastModifiedDate":"2018-05-24T10:27:05","indexId":"70197252","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5388,"text":"Preliminary Interpretive Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2016-1-2","title":"Nonmarine facies in the Late Triassic(?) to Early Jurassic Horn Mountain Tuff member of the Talkeetna Formation, Horn Mountain, lower Cook Inlet basin, Alaska","docAbstract":"<p>The Talkeetna Formation is a prominent lithostratigraphic unit in south-central Alaska. In the Iniskin–Tuxedni area, Detterman and Hartsock (1966) divided the formation into three mappable units including, from oldest to youngest, the Marsh Creek Breccia, the Portage Creek Agglomerate, and the Horn Mountain Tuff Members. The Horn Mountain Tuff Member was thought to include rocks deposited in a nonmarine setting based on the presence of “tree stumps in an upright position” (Detterman and Hartsock, 1966, p. 19) near the top of the type section at Horn Mountain. Bull (2015) recognized possible nonmarine volcaniclastic rocks in the member during the 2014 field season in a saddle on the north side of Horn Mountain (figs. 2-1 and 2-2). The authors visited this location in 2015 and measured a short stratigraphic section to document facies, interpret depositional setting, and constrain age. This report summarizes our field observations and presents preliminary interpretations.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":" Petroleum-related geologic studies in lower Cook Inlet during 2015, Iniskin-Tuxedni region, south-central Alaska","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys","doi":"10.14509/29535","usgsCitation":"LePain, D., Stanley, R.G., and Helmold, K., 2016, Nonmarine facies in the Late Triassic(?) to Early Jurassic Horn Mountain Tuff member of the Talkeetna Formation, Horn Mountain, lower Cook Inlet basin, Alaska: Preliminary Interpretive Report 2016-1-2, 12 p., https://doi.org/10.14509/29535.","productDescription":"12 p.","startPage":"9","endPage":"20","ipdsId":"IP-070339","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29535","text":"Publisher Index Page"},{"id":354445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lower Cook Inlet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153.446044921875,\n              60.17977000114811\n            ],\n            [\n              -148.919677734375,\n              60.17977000114811\n            ],\n            [\n              -148.919677734375,\n              62.32920841458002\n            ],\n            [\n              -153.446044921875,\n              62.32920841458002\n            ],\n            [\n              -153.446044921875,\n              60.17977000114811\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155f36e4b092d9651e1bf4","contributors":{"authors":[{"text":"LePain, D. L.","contributorId":104803,"corporation":false,"usgs":true,"family":"LePain","given":"D. L.","affiliations":[],"preferred":false,"id":736413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":736414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helmold, K. P.","contributorId":67796,"corporation":false,"usgs":true,"family":"Helmold","given":"K. P.","affiliations":[],"preferred":false,"id":736415,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187206,"text":"70187206 - 2016 - Establishing links between streamflow and ecological integrity in the Sudbury River (Northeastern U.S.)","interactions":[],"lastModifiedDate":"2017-04-27T09:59:13","indexId":"70187206","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"122-2016","title":"Establishing links between streamflow and ecological integrity in the Sudbury River (Northeastern U.S.)","docAbstract":"<p>With increased pressure from a growing human population, managers are challenged to understand how novel disturbances (e.g., climate change, increased water withdrawals, urbanization) may affect natural resources. The Sudbury River is a National Wild and Scenic River located in suburban Boston, Massachusetts (Northeastern US) with myriad impairments (e.g., mainstem impoundments, withdrawals, and urbanization) that is under increasing pressure from hydrologic alteration. We sampled fish, mussel, and macroinvertebrate assemblages in the Sudbury River and used species traits to investigate potential effects of past and future flow alteration on biota. Analysis of 33 years of stream gage data indicates continued hydrologic alteration of the Sudbury River, likely related to increased urbanization and water withdrawals over that time. These changes include a roughly 200% increase in rise rates of flows, an approximate 65% decrease in 1-day minimum flows, and a trend towards increasing high flow pulse counts. Biotic sampling in summer of 2014 demonstrated that the Sudbury River is now dominated by generalist species. Of five mussel species sampled, all are generalists in their habitat requirements. Though one mussel species of special concern was sampled, the most abundant species collected were the widespread Eastern elliptio (58%) and Eastern lampmussel (40%). We used the target fish community (TFC) model to assess the degree to which the fish assemblage deviated from that expected for a river with similar zoogeographic and physical features. Overall, the current community has a 22.7% similarity to the TFC. Of the four fluvial specialist species present in the TFC, only fallfish was sampled in our study. While the TFC showed that the historical assemblage was likely dominated by fluvial specialist and fluvial dependent species, the current assemblage is overwhelmingly dominated by macrohabitat generalists (90.6% of fishes sampled). These results are consistent with other studies that show shifts in assemblages from fluvial specialists to habitat generalists with hydrologic alteration. If the current trends continue, it is likely that biotic assemblages will experience increasing pressure from hydrologic alteration. While hydrologic alteration is likely impacting biotic assemblages in the Sudbury River, other factors such as high temperatures, low dissolved oxygen, high nutrients, low availability of high-quality habitat, and poor habitat connectivity may also be negatively impacting biotic assemblages. Comparisons to other rivers and a complete longitudinal habitat survey could help to identify availability of unique habitats and representativeness of this study. While this study suggests impacts of flow on biota, future studies with quantitative, habitat-specific sampling during different flow levels could help to directly identify links between hydrologic alteration and biotic impairment in the Sudbury River.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Roy, A.H., Jane, S.F., Hazelton, P.D., Richards, T.A., Finn, J.T., and Randhir, T.O., 2016, Establishing links between streamflow and ecological integrity in the Sudbury River (Northeastern U.S.): Cooperator Science Series 122-2016, vi, 78 p.","productDescription":"vi, 78 p.","ipdsId":"IP-065793","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340464,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/singleitem/collection/document/id/2152/rec/19"}],"country":"United States","state":"Massachussetts","otherGeospatial":"Sudbury River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.63497924804688,\n              42.13998671872691\n            ],\n            [\n              -71.17767333984375,\n              42.13998671872691\n            ],\n            [\n              -71.17767333984375,\n              42.5530802889558\n            ],\n            [\n              -71.63497924804688,\n              42.5530802889558\n            ],\n            [\n              -71.63497924804688,\n              42.13998671872691\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bae4b0c2e071a99b96","contributors":{"authors":[{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jane, Stephen F.","contributorId":191442,"corporation":false,"usgs":false,"family":"Jane","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":693056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter D.","contributorId":171765,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":693057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Richards, Todd A.","contributorId":52266,"corporation":false,"usgs":true,"family":"Richards","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":693059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Randhir, Timothy O.","contributorId":191443,"corporation":false,"usgs":false,"family":"Randhir","given":"Timothy","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":693060,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191587,"text":"70191587 - 2016 - Continuous monitoring of suspended sediment for reservoir management","interactions":[],"lastModifiedDate":"2018-01-05T16:05:13","indexId":"70191587","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Continuous monitoring of suspended sediment for reservoir management","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"River Flow 2016","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"River Flow 2016","conferenceDate":"July 11-14, 2016","conferenceLocation":"Iowa City, Iowa","language":"English","isbn":"9781138029132","collaboration":"Kansas Water Office","usgsCitation":"Juracek, K.E., Lee, C.J., and Gnau, C., 2016, Continuous monitoring of suspended sediment for reservoir management, <i>in</i> River Flow 2016, Iowa City, Iowa, July 11-14, 2016, p. 1401-1407.","productDescription":"7 p.","startPage":"1401","endPage":"1407","ipdsId":"IP-069721","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":350344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc66e4b06e28e9c23e25","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":712819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Casey J. 0000-0002-5753-2038 cjlee@usgs.gov","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":2627,"corporation":false,"usgs":true,"family":"Lee","given":"Casey","email":"cjlee@usgs.gov","middleInitial":"J.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":712820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gnau, C.B.","contributorId":201455,"corporation":false,"usgs":false,"family":"Gnau","given":"C.B.","email":"","affiliations":[],"preferred":false,"id":725430,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193576,"text":"70193576 - 2016 - U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory","interactions":[],"lastModifiedDate":"2017-11-29T14:22:12","indexId":"70193576","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"subseriesTitle":"Field Guide 44","title":"U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory","docAbstract":"This 2016 Geological Society of America (GSA) Annual Meeting trip will explore\nthe Core Research Center, Paleontological Collection, and National Science Foundation\nNational Ice Core Laboratory—three collections of major national signifi cance\nmanaged by the U.S. Geological Survey (USGS). Since its inception in 1879, USGS\nhas collected, preserved, and managed physical collections for scientifi c investigations\nof Earth’s systems. The Core Research Center is the largest federal core repository\nin the United States, where over 74 million meters (242 million feet) of the subsurface\nare represented by the collection of rock cores and well cuttings, available for use by\nresearchers investigating resource potential, tectonics, structures, aquifers, and more.\nThe USGS has conducted paleontological research for more than 110 years to\ninform geological mapping, biostratigraphy, paleoecology, paleoclimate, and other\nresearch. Most of these paleontological samples are at the Smithsonian Institution\nNational Museum of Natural History (NMNH) and USGS Denver facilities. The\nUSGS Denver paleontological collection includes ~1.2 million samples. Ancillary\nmaterials consisting of handwritten ledgers, index cards, fi eld reports, maps, and\nother information produced by USGS investigators provide profound knowledge\nabout the specimens and associated geological systems. The USGS is working with\nNMNH to systematically digitize the collection to preserve and expose samples and\ndata to research.\nThe National Science Foundation (NSF) National Ice Core Laboratory (NICL) is\nthe nation’s repository for preserving, archiving, and sampling meteoric ice cores collected\nfrom the world’s ice sheets, ice caps, and glaciers, mostly from Antarctica and\nGreenland. NICL’s primary mission is to store and curate ice cores, primarily collected\nduring NSF-sponsored projects, for present and future sample investigations.","largerWorkTitle":"Unfolding the Geology of the West","language":"English","publisher":"The Geological Society of America","doi":"10.1130/2016.0044(06)","usgsCitation":"Latysh, N., 2016, U.S. Geological Survey collections—Preserving the past to inform the future: Tour three federal repositories—Core Research Center, Paleontological Collection, and the NSF National Ice Core Laboratory, chap. <i>of</i> Unfolding the Geology of the West, p. 143-150, https://doi.org/10.1130/2016.0044(06).","productDescription":"8 p.","startPage":"143","endPage":"150","ipdsId":"IP-075555","costCenters":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true}],"links":[{"id":349557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348070,"type":{"id":15,"text":"Index Page"},"url":"https://rock.geosociety.org/Store/detail.aspx?id=FLD044"}],"country":"United States","state":"Colorado","city":"Denver","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e17","contributors":{"authors":[{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":719417,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187297,"text":"70187297 - 2016 - Participatory modeling and structured decision making","interactions":[],"lastModifiedDate":"2017-05-02T09:49:06","indexId":"70187297","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Participatory modeling and structured decision making","docAbstract":"<p><span>Structured decision making (SDM) provides a framework for making sound decisions even when faced with uncertainty, and is a transparent, defensible, and replicable method used to understand complex problems. A hallmark of SDM is the explicit incorporation of values and science, which often includes participation from multiple stakeholders, helping to garner trust and ultimately result in a decision that is more likely to be implemented. The core steps in the SDM process are used to structure thinking about natural resources management choices, and include: (1) properly defining the problem and the decision context, (2) determining the objectives that help describe the aspirations of the decision maker, (3) devising management actions or alternatives that can achieve those objectives, (4) evaluating the outcomes or consequences of each alternative on each of the objectives, (5) evaluating trade-offs, and (6) implementing the decision. Participatory modeling for SDM includes engaging stakeholders in some or all of the steps of the SDM process listed above. In addition, participatory modeling often is crucial for creating qualitative and quantitative models of how the system works, providing data for these models, and eliciting expert opinion when data are unavailable. In these ways, SDM provides a framework for decision making in natural resources management that includes participation from stakeholder groups throughout the process, including the modeling phase.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Environmental Modeling with Stakeholders","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-25053-3_5","usgsCitation":"Robinson, K., and Fuller, A.K., 2016, Participatory modeling and structured decision making, chap. <i>of</i> Environmental Modeling with Stakeholders, p. 83-101, https://doi.org/10.1007/978-3-319-25053-3_5.","productDescription":"18 p.","startPage":"83","endPage":"101","ipdsId":"IP-060120","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-17","publicationStatus":"PW","scienceBaseUri":"59099aaee4b0fc4e449157ec","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":140157,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false},{"id":473,"text":"New York Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":693878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192412,"text":"70192412 - 2016 - Use of lidar point cloud data to support estimation of residual trace metals stored in mine chat piles in the Old Lead Belt of southeastern, Missouri","interactions":[],"lastModifiedDate":"2017-11-15T12:07:32","indexId":"70192412","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3893,"text":"AIMS Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Use of lidar point cloud data to support estimation of residual trace metals stored in mine chat piles in the Old Lead Belt of southeastern, Missouri","docAbstract":"Historic lead and zinc (Pb-Zn) mining in southeast Missouri’s ―Old Lead Belt‖ has left large chat piles dominating the landscape where prior to 1972 mining was the major industry of the region. As a result of variable beneficiation methods over the history of mining activity, these piles remain with large quantities of unrecovered Pb and Zn and to a lesser extent cadmium (Cd). Quantifying the residual content of trace metals in chat piles is problematic because of the extensive field effort that must go into collecting elevation points for volumetric analysis. This investigation demonstrates that publicly available lidar point data from the U.S. Geological Survey 3D Elevation Program (3DEP) can be used to effectively calculate chat pile volumes as a method of more accurately estimating the total residual trace metal content in these mining wastes. Five chat piles located in St. Francois County, Missouri, were quantified for residual trace metal content. Utilizing lidar point cloud data collected in 2011 and existing trace metal concentration data obtained during remedial investigations, residual content of these chat piles ranged from 9247 to 88,579 metric tons Pb, 1925 to 52,306 metric tons Zn, and 51 to 1107 metric tons Cd. Development of new beneficiation methods for recovering these constituents from chat piles would need to achieve current Federal soil screening standards. To achieve this for the five chat piles investigated, 42 to 72% of residual Pb would require mitigation to the 1200 mg/kg Federal non-playground standard, 88 to 98% of residual Zn would require mitigation to the Ecological Soil Screening level (ESSL) for plant life, and 70% to 98% of Cd would require mitigation to achieve the ESSL. Achieving these goals through an existing or future beneficiation method(s) would remediate chat to a trace metal concentration level that would support its use as a safe agricultural soil amendment.","language":"English","publisher":"AIMS Press","doi":"10.3934/environsci.2016.3.509","usgsCitation":"Witt, E.C., 2016, Use of lidar point cloud data to support estimation of residual trace metals stored in mine chat piles in the Old Lead Belt of southeastern, Missouri: AIMS Environmental Science, v. 3, no. 3, p. 509-524, https://doi.org/10.3934/environsci.2016.3.509.","productDescription":"16 p.","startPage":"509","endPage":"524","ipdsId":"IP-073845","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":470298,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/environsci.2016.3.509","text":"Publisher Index Page"},{"id":348883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91,\n              37.39634613318923\n            ],\n            [\n              -90.33,\n              37.39634613318923\n            ],\n            [\n              -90.33,\n              37.94419750075404\n            ],\n            [\n              -91,\n              37.94419750075404\n            ],\n            [\n              -91,\n              37.39634613318923\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"3","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc66e4b06e28e9c23e1f","contributors":{"authors":[{"text":"Witt, Emitt C. III 0000-0002-1814-7807 ecwitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7807","contributorId":1612,"corporation":false,"usgs":true,"family":"Witt","given":"Emitt","suffix":"III","email":"ecwitt@usgs.gov","middleInitial":"C.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":715741,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190769,"text":"70190769 - 2016 - High-latitude dust in the Earth system","interactions":[],"lastModifiedDate":"2017-09-14T09:18:06","indexId":"70190769","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"High-latitude dust in the Earth system","docAbstract":"Natural dust is often associated with hot, subtropical deserts, but significant dust events have been reported from cold, high latitudes. This review synthesizes current understanding of high-latitude (≥50°N and ≥40°S) dust source geography and dynamics and provides a prospectus for future research on the topic. Although the fundamental processes controlling aeolian dust emissions in high latitudes are essentially the same as in temperate regions, there are additional processes specific to or enhanced in cold regions. These include low temperatures, humidity, strong winds, permafrost and niveo-aeolian processes all of which can affect the efficiency of dust emission and distribution of sediments. Dust deposition at high latitudes can provide nutrients to the marine system, specifically by contributing iron to high-nutrient, low-chlorophyll oceans; it also affects ice albedo and melt rates. There have been no attempts to quantify systematically the expanse, characteristics, or dynamics of high-latitude dust sources. To address this, we identify and compare the main sources and drivers of dust emissions in the Northern (Alaska, Canada, Greenland, and Iceland) and Southern (Antarctica, New Zealand, and Patagonia) Hemispheres. The scarcity of year-round observations and limitations of satellite remote sensing data at high latitudes are discussed. It is estimated that under contemporary conditions high-latitude sources cover >500,000 km2 and contribute at least 80–100 Tg yr−1 of dust to the Earth system (~5% of the global dust budget); both are projected to increase under future climate change scenarios.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016RG000518","usgsCitation":"Bullard, J.E., Baddock, M., Bradwell, T., Crusius, J., Darlington, E., Gaiero, D., Gasso, S., Gisladottir, G., Hodgkins, R., McCulloch, R., NcKenna Neuman, C., Mockford, T., Stewart, H., and Thorsteinsson, T., 2016, High-latitude dust in the Earth system: Reviews of Geophysics, v. 54, no. 2, p. 447-485, https://doi.org/10.1002/2016RG000518.","productDescription":"13 p.","startPage":"447","endPage":"485","ipdsId":"IP-073865","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":470302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016rg000518","text":"Publisher Index Page"},{"id":345726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-04","publicationStatus":"PW","scienceBaseUri":"59bb952ee4b091459a578180","contributors":{"authors":[{"text":"Bullard, Joanna E","contributorId":196439,"corporation":false,"usgs":false,"family":"Bullard","given":"Joanna","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":710355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baddock, Matthew","contributorId":196440,"corporation":false,"usgs":false,"family":"Baddock","given":"Matthew","affiliations":[],"preferred":false,"id":710356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradwell, Tom","contributorId":196441,"corporation":false,"usgs":false,"family":"Bradwell","given":"Tom","email":"","affiliations":[],"preferred":false,"id":710357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":710354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Darlington, Eleanor","contributorId":196442,"corporation":false,"usgs":false,"family":"Darlington","given":"Eleanor","email":"","affiliations":[],"preferred":false,"id":710358,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaiero, Diego","contributorId":196443,"corporation":false,"usgs":false,"family":"Gaiero","given":"Diego","email":"","affiliations":[],"preferred":false,"id":710359,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gasso, Santiago","contributorId":196444,"corporation":false,"usgs":false,"family":"Gasso","given":"Santiago","email":"","affiliations":[],"preferred":false,"id":710360,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gisladottir, Gudrun","contributorId":196445,"corporation":false,"usgs":false,"family":"Gisladottir","given":"Gudrun","email":"","affiliations":[],"preferred":false,"id":710361,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hodgkins, Richard","contributorId":196446,"corporation":false,"usgs":false,"family":"Hodgkins","given":"Richard","email":"","affiliations":[],"preferred":false,"id":710362,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCulloch, Robert","contributorId":196447,"corporation":false,"usgs":false,"family":"McCulloch","given":"Robert","email":"","affiliations":[],"preferred":false,"id":710363,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"NcKenna Neuman, Cheryl","contributorId":196448,"corporation":false,"usgs":false,"family":"NcKenna Neuman","given":"Cheryl","email":"","affiliations":[],"preferred":false,"id":710364,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mockford, Tom","contributorId":196449,"corporation":false,"usgs":false,"family":"Mockford","given":"Tom","email":"","affiliations":[],"preferred":false,"id":710365,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stewart, Helena","contributorId":196450,"corporation":false,"usgs":false,"family":"Stewart","given":"Helena","email":"","affiliations":[],"preferred":false,"id":710366,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thorsteinsson, Throstur","contributorId":196451,"corporation":false,"usgs":false,"family":"Thorsteinsson","given":"Throstur","email":"","affiliations":[],"preferred":false,"id":710367,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70189834,"text":"70189834 - 2016 - Buildings (EERI Earthquake Reconnaissance Team Report: M7.8 Gorkha, Nepal Earthquake on April 25, 2015 and its Aftershocks)","interactions":[],"lastModifiedDate":"2020-08-21T13:33:18.392113","indexId":"70189834","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"chapter":"5","title":"Buildings (EERI Earthquake Reconnaissance Team Report: M7.8 Gorkha, Nepal Earthquake on April 25, 2015 and its Aftershocks)","docAbstract":"The most common building typologies in Nepal are reinforced concrete (RC) frame buildings with masonry infill walls, unreinforced masonry (URM) bearing wall buildings, and wood frame buildings (Figure 5-1). The RC frames with masonry infills are commonly constructed in urban and semi-urban areas. Most of these buildings are three to five stories high, and most privately owned buildings are non-engineered. High rise buildings (up to 17 stories high) are also found in Kathmandu, but their number is limited. Burnt clay bricks are widely used as masonry infill walls; external walls are generally one full brick thick (~ 230 mm), and internal walls are one half brick thick. URM bearing wall buildings are an obvious choice for the population in rural areas and the outskirts of cities, primarily to limit the material expenses. Such buildings are generally two to four stories high and constructed using burnt clay brick masonry or stone masonry with cement, lime, or mud mortar. In some of the older constructions, a different mortar known as Vajra (a mix of lime and brick dust) is also observed. These buildings have either wooden or reinforced concrete flooring. A hybrid type of construction also prevails in semi-urban and rural areas, where wood frames are used in the ground story front façade, and rest of the house is made of unreinforced masonry bearing walls. Wood frame houses (generally two to three stories high) are also observed in rural areas where the material for such construction is easily available.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"EERI Earthquake Reconnaissance Team Report: M7.8 Gorkha, Nepal Earthquake on April 25, 2015 and its Aftershocks","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Earthquake Engineering Research Institute","usgsCitation":"Kaushik, H., Bevington, J., Jaiswal, K.S., Lizundia, B., and Shrestha, S., 2016, Buildings (EERI Earthquake Reconnaissance Team Report: M7.8 Gorkha, Nepal Earthquake on April 25, 2015 and its Aftershocks), 26 p.","productDescription":"26 p.","startPage":"5-1","endPage":"5-26","ipdsId":"IP-076061","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","otherGeospatial":"Kathmandu Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              84.715576171875,\n              27.176469131898898\n            ],\n            [\n              86.0888671875,\n              27.176469131898898\n            ],\n            [\n              86.0888671875,\n              27.97499795326776\n            ],\n            [\n              84.715576171875,\n              27.97499795326776\n            ],\n            [\n              84.715576171875,\n              27.176469131898898\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597afba6e4b0a38ca2750b5b","contributors":{"authors":[{"text":"Kaushik, Hemant","contributorId":195193,"corporation":false,"usgs":false,"family":"Kaushik","given":"Hemant","email":"","affiliations":[],"preferred":false,"id":706498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bevington, John","contributorId":195194,"corporation":false,"usgs":false,"family":"Bevington","given":"John","email":"","affiliations":[],"preferred":false,"id":706499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":706500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lizundia, Bret","contributorId":195195,"corporation":false,"usgs":false,"family":"Lizundia","given":"Bret","email":"","affiliations":[],"preferred":false,"id":706501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Surya","contributorId":150710,"corporation":false,"usgs":false,"family":"Shrestha","given":"Surya","email":"","affiliations":[{"id":18073,"text":"National Society for Earthquake Technology","active":true,"usgs":false}],"preferred":false,"id":706502,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197971,"text":"70197971 - 2016 - Changes in blast zone albedo patterns around new martian impact craters","interactions":[],"lastModifiedDate":"2018-11-01T15:04:16","indexId":"70197971","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Changes in blast zone albedo patterns around new martian impact craters","docAbstract":"<p>“Blast zones” (BZs) around new martian craters comprise various albedo features caused by the initial impact, including diffuse halos, extended linear and arcuate rays, secondary craters, ejecta patterns, and dust avalanches. We examined these features for changes in repeat images separated by up to four Mars years. Here we present the first comprehensive survey of the qualitative and quantitative changes observed in impact blast zones over time. Such changes are most likely due to airfall of high-albedo dust restoring darkened areas to their original albedo, the albedo of adjacent non-impacted surfaces. Although some sites show drastic changes over short timescales, nearly half of the sites show no obvious changes over several Mars years. Albedo changes are more likely to occur at higher-latitude sites, lower-elevation sites, and at sites with smaller central craters. No correlation was seen between amount of change and Dust Cover Index, relative halo size, or historical regional albedo changes. Quantitative albedo measurements of the diffuse dark halos relative to their surroundings yielded estimates of fading lifetimes for these features. The average lifetime among sites with measurable fading is ∼15 Mars years; the median is ∼8 Mars years for a linear brightening. However, at approximately half of sites with three or more repeat images, a nonlinear function with rapid initial fading followed by a slow increase in albedo provides a better fit to the fading behavior; this would predict even longer lifetimes. The predicted lifetimes of BZs are comparable to those of slope streaks, and considered representative of fading by global atmospheric dust deposition; they last significantly longer than dust devil or rover tracks, albedo features that are erased by different processes. These relatively long lifetimes indicate that the measurement of the current impact rate by Daubar et al. does not suffer significantly from overall under-sampling due to blast zones fading before new impact sites can be initially discovered. However, the prevalence of changes seen around smaller craters may explain in part their shallower size frequency distribution.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2015.11.032","usgsCitation":"Daubar, I.J., Dundas, C.M., Byrne, S., Geissler, P.E., Bart, G., McEwen, A.S., Russell, P., Chojnacki, M., and Golombek, M., 2016, Changes in blast zone albedo patterns around new martian impact craters: Icarus, v. 267, p. 86-105, https://doi.org/10.1016/j.icarus.2015.11.032.","productDescription":"20 p.","startPage":"86","endPage":"105","ipdsId":"IP-065072","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":355431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"267","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e7b2e4b060350a15d321","contributors":{"authors":[{"text":"Daubar, Ingrid J.","contributorId":204233,"corporation":false,"usgs":false,"family":"Daubar","given":"Ingrid","email":"","middleInitial":"J.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":739393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":739394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrne, Shane","contributorId":192609,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","email":"","affiliations":[],"preferred":false,"id":739395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geissler, Paul E. pgeissler@usgs.gov","contributorId":2811,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","email":"pgeissler@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":739392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bart, Gwen","contributorId":206095,"corporation":false,"usgs":false,"family":"Bart","given":"Gwen","affiliations":[{"id":37244,"text":"UIdaho","active":true,"usgs":false}],"preferred":false,"id":739398,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":739396,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Russell, Patrick","contributorId":206094,"corporation":false,"usgs":false,"family":"Russell","given":"Patrick","affiliations":[{"id":37243,"text":"SI","active":true,"usgs":false}],"preferred":false,"id":739397,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chojnacki, Matthew","contributorId":201621,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","affiliations":[{"id":27205,"text":"U. Arizona","active":true,"usgs":false}],"preferred":false,"id":739399,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Golombek, M.P.","contributorId":52696,"corporation":false,"usgs":true,"family":"Golombek","given":"M.P.","email":"","affiliations":[],"preferred":false,"id":739404,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70173826,"text":"70173826 - 2016 - Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi","interactions":[],"lastModifiedDate":"2017-11-08T17:24:55","indexId":"70173826","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi","docAbstract":"<p><span>Transmissivity is a bulk hydraulic property that can be correlated with bulk electrical properties of an aquifer. In aquifers that are electrically-resistive relative to adjacent layers in a horizontally stratified sequence, transmissivity has been shown to correlate with bulk transverse resistance. Conversely, in aquifers that are electrically-conductive relative to adjacent layers, transmissivity has been shown to correlate with bulk longitudinal conductance. In both cases, previous investigations have relied on small datasets (on average less than eight observations) that have yielded coefficients of determination (R</span><sup>2</sup><span>) that are typically in the range of 0.6 to 0.7 to substantiate these relations. Compared to previous investigations, this paper explores hydraulic-electrical relations using a much larger dataset. Geophysical data collected from 26 boreholes in Emirate Abu Dhabi, United Arab Emirates, are used to correlate transmissivity modeled from neutron porosity logs to the bulk electrical properties of the surficial aquifer that are computed from deep-induction logs. Transmissivity is found to be highly correlated with longitudinal conductance. An R</span><sup>2</sup><span><span>&nbsp;</span>value of 0.853 is obtained when electrical effects caused by variations in pore-fluid salinity are taken into consideration.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016","conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems","conferenceDate":"March 20-24, 2016","conferenceLocation":"Denver, CO","language":"English","publisher":"Society of Exploration Geophysicists and Environment and Engineering Geophysical Society","doi":"10.4133/SAGEEP.29-060","issn":"1554-8015","usgsCitation":"Ikard, S., and Kress, W.H., 2016, Improving our understanding of hydraulic-electrical relations: A case study of the surficial aquifer in Emirate Abu Dhabi, <i>in</i> Symposium on the Application of Geophysics to Engineering and Environmental Problems 2016, Denver, CO, March 20-24, 2016, p. 340-353, https://doi.org/10.4133/SAGEEP.29-060.","productDescription":"14 p.","startPage":"340","endPage":"353","ipdsId":"IP-070679","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":348522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bde4b0dc0b45b453d0","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935 sikard@usgs.gov","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":171751,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","email":"sikard@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kress, Wade H. 0000-0002-6833-028X wkress@usgs.gov","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":1576,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"wkress@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638522,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197253,"text":"70197253 - 2016 - Reconnaissance stratigraphy of the Red Glacier Formation (Middle Jurassic) near Hungryman Creek, Cook Inlet basin, Alaska","interactions":[],"lastModifiedDate":"2018-05-24T10:28:40","indexId":"70197253","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5388,"text":"Preliminary Interpretive Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2016-1-3","title":"Reconnaissance stratigraphy of the Red Glacier Formation (Middle Jurassic) near Hungryman Creek, Cook Inlet basin, Alaska","docAbstract":"<p>Geochemical data suggest the source of oil in upper Cook Inlet fields is Middle Jurassic organic-rich shales in the Tuxedni Group (Magoon and Anders, 1992; Lillis and Stanley, 2011; LePain and others, 2012, 2013). Of the six formations in the group (Detterman, 1963), the basal Red Glacier Formation is the only unit that includes fine-grained rocks in outcrop that appear to be organic-rich (fig. 3-1). In an effort to better understand the stratigraphy and source-rock potential of the Red Glacier Formation, the Alaska Division of Geological &amp; Geophysical Surveys, in collaboration with the Alaska Division of Oil and Gas and the U.S. Geological Survey, has been investigating the unit in outcrop between Tuxedni Bay and the type section at Lateral and Red glaciers (Stanley and others, 2013; LePain and Stanley, 2015; Helmold and others, 2016 [this volume]). Fieldwork in 2015 focused on a southeast-trending ridge south of Hungryman Creek, where the lower 60–70 percent of the formation (400–500 m) is exposed and accessible, except for the near-vertical faces of three segments near the southeast end of the ridge (figs. 3-2 and 3-3). Three stratigraphic sections were measured along the ridge to document facies and depositional environments (figs. 3-3 and 3-4). Steep terrain precluded study of the upper part of the formation exposed east of the ridge. This report includes a preliminary summary of findings from the 2015 field season.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Petroleum-related geologic studies in lower Cook Inlet during 2015, Iniskin-Tuxedni region, south-central Alask","language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys ","doi":"10.14509/29536","usgsCitation":"LePain, D., Stanley, R.G., and Helmold, K., 2016, Reconnaissance stratigraphy of the Red Glacier Formation (Middle Jurassic) near Hungryman Creek, Cook Inlet basin, Alaska: Preliminary Interpretive Report 2016-1-3, 11 p., https://doi.org/10.14509/29536.","productDescription":"11 p.","startPage":"21","endPage":"31","ipdsId":"IP-070340","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470297,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29536","text":"Publisher Index Page"},{"id":354446,"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              -153.446044921875,\n              60.17977000114811\n            ],\n            [\n              -148.919677734375,\n              60.17977000114811\n            ],\n            [\n              -148.919677734375,\n              62.32920841458002\n            ],\n            [\n              -153.446044921875,\n              62.32920841458002\n            ],\n            [\n              -153.446044921875,\n              60.17977000114811\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155f36e4b092d9651e1bf2","contributors":{"authors":[{"text":"LePain, D. L.","contributorId":104803,"corporation":false,"usgs":true,"family":"LePain","given":"D. L.","affiliations":[],"preferred":false,"id":736416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":736417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helmold, K. P.","contributorId":67796,"corporation":false,"usgs":true,"family":"Helmold","given":"K. P.","affiliations":[],"preferred":false,"id":736418,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197254,"text":"70197254 - 2016 - Sedimentary petrology and reservoir quality of the Middle Jurassic Red Glacier Formation, Cook Inlet forearc basin: Initial impressions","interactions":[],"lastModifiedDate":"2018-05-24T10:29:23","indexId":"70197254","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5388,"text":"Preliminary Interpretive Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2016-1-4","title":"Sedimentary petrology and reservoir quality of the Middle Jurassic Red Glacier Formation, Cook Inlet forearc basin: Initial impressions","docAbstract":"<p>The Division of Geological &amp; Geophysical Surveys and Division of Oil &amp; Gas are currently conducting a study of the hydrocarbon potential of Cook Inlet forearc basin (Gillis, 2013, 2014; LePain and others, 2013; Wartes, 2015; Herriott, 2016 [this volume]). The Middle Jurassic Tuxedni Group is recognized as a major source of oil in Tertiary reservoirs (Magoon, 1994), although the potential for Tuxedni reservoirs remains largely unknown. As part of this program, five days of the 2015 field season were spent examining outcrops, largely sandstones, of the Middle Jurassic Red Glacier Formation (Tuxedni Group) approximately 6.4 km northeast of Johnson Glacier on the western side of Cook Inlet (fig. 4-1). Three stratigraphic sections (fig. 4-2) totaling approximately 307 m in thickness were measured and described in detail (LePain and others, 2016 [this volume]). Samples were collected for a variety of analyses including palynology, Rock-Eval pyrolysis, vitrinite reflectance, detrital zircon geochronology, and petrology. This report summarizes our initial impressions of the petrology and reservoir quality of sandstones encountered in these measured sections. Interpretations are based largely on hand-lens observations of hand specimens and are augmented by stereomicroscope observations. Detailed petrographic (point-count) analyses and measurement of petrophysical properties (porosity, permeability, and grain density) are currently in progress.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Petroleum-related geologic studies in lower Cook Inlet during 2015, Iniskin-Tuxedni region, south-central Alaska","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Alaska Division of Geological & Geophysical Surveys ","doi":"10.14509/29537","usgsCitation":"Helmold, K., LePain, D., and Stanley, R.G., 2016, Sedimentary petrology and reservoir quality of the Middle Jurassic Red Glacier Formation, Cook Inlet forearc basin: Initial impressions (37): Preliminary Interpretive Report 2016-1-4, no. 33, 5 p., https://doi.org/10.14509/29537.","productDescription":"5 p.","ipdsId":"IP-070163","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":470299,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29537","text":"Publisher Index Page"},{"id":354447,"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              -153.446044921875,\n              60.17977000114811\n            ],\n            [\n              -148.919677734375,\n              60.17977000114811\n            ],\n            [\n              -148.919677734375,\n              62.32920841458002\n            ],\n            [\n              -153.446044921875,\n              62.32920841458002\n            ],\n            [\n              -153.446044921875,\n              60.17977000114811\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"33","edition":"37","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155f36e4b092d9651e1bf0","contributors":{"authors":[{"text":"Helmold, K. P.","contributorId":67796,"corporation":false,"usgs":true,"family":"Helmold","given":"K. P.","affiliations":[],"preferred":false,"id":736419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LePain, D. L.","contributorId":104803,"corporation":false,"usgs":true,"family":"LePain","given":"D. L.","affiliations":[],"preferred":false,"id":736420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":736421,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196911,"text":"70196911 - 2016 - Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features","interactions":[],"lastModifiedDate":"2018-05-10T15:01:49","indexId":"70196911","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features","docAbstract":"<p><span>Satellite telemetry devices collect valuable information concerning the sites visited by animals, including the location of central places like dens, nests, rookeries, or haul‐outs. Existing methods for estimating the location of central places from telemetry data require user‐specified thresholds and ignore common nuances like measurement error. We present a fully model‐based approach for locating central places from telemetry data that accounts for multiple sources of uncertainty and uses all of the available locational data. Our general framework consists of an observation model to account for large telemetry measurement error and animal movement, and a highly flexible mixture model specified using a Dirichlet process to identify the location of central places. We also quantify temporal patterns in central place use by incorporating ancillary behavioral data into the model; however, our framework is also suitable when no such behavioral data exist. We apply the model to a simulated data set as proof of concept. We then illustrate our framework by analyzing an Argos satellite telemetry data set on harbor seals (</span><i>Phoca vitulina</i><span>) in the Gulf of Alaska, a species that exhibits fidelity to terrestrial haul‐out sites.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1618","usgsCitation":"Brost, B.M., Hooten, M., and Small, R.J., 2016, Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features: Ecology, v. 98, no. 1, p. 12-20, https://doi.org/10.1002/ecy.1618.","productDescription":"9 p.","startPage":"12","endPage":"20","ipdsId":"IP-074247","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.796875,\n              56.022948079627454\n            ],\n            [\n              -142.6904296875,\n              56.022948079627454\n            ],\n            [\n              -142.6904296875,\n              62.75472592723178\n            ],\n            [\n              -156.796875,\n              62.75472592723178\n            ],\n            [\n              -156.796875,\n              56.022948079627454\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"5afee922e4b0da30c1bfc527","contributors":{"authors":[{"text":"Brost, Brian M.","contributorId":171484,"corporation":false,"usgs":false,"family":"Brost","given":"Brian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":734981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Small, Robert J.","contributorId":171486,"corporation":false,"usgs":false,"family":"Small","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":735049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196907,"text":"70196907 - 2016 - A comparison of lead lengths for mini-fyke nets to sample age-0 gar species","interactions":[],"lastModifiedDate":"2018-05-11T13:55:31","indexId":"70196907","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3894,"text":"Proceedings of the Oklahoma Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of lead lengths for mini-fyke nets to sample age-0 gar species","docAbstract":"<p>Mini-fyke nets are often used to sample small-bodied fishes in shallow (&lt;1 m depth) water, especially in vegetated shoreline habitats where seines are ineffective. Recent interest in gar (Lepisosteidae) ecology and conservation led us to explore the use of mini-fyke nets to capture age-0 gar and specifically how capture is affected by lead length of the fyke net. In the summers of 2012, 2013, and 2015, mini-fyke nets with two different lead lengths (4.57 m and 9.14 m) were set at random sites in backwaters and coves of the Red River arm of Lake Texoma, Oklahoma. Mean CPUE (catch-per-unit-effort; number per net night) was significantly lower for mini-fyke nets with short leads (0.52) compared to those with long leads (1.51). Additionally, Spotted Gar (<span id=\"_mce_caret\" data-mce-bogus=\"true\"><i>﻿Lepisosteus oculatus</i><span id=\"_mce_caret\" data-mce-bogus=\"true\">﻿) were captured at a higher rate than the other three gar species present in Lake Texoma, although this could have been an artifact of sampling location. We found that differences in length-frequency of captured gar between gear types were nearly significant, with total length ranging from 47mm to 590mm. Mini-fyke nets with longer leads increased the efficiency of sampling for age-0 gar by increasing catch rate without affecting estimates of other population parameters and appear to be useful for this purpose.</span></span>&nbsp;</p>","language":"English","publisher":"Oklahoma Academy of Science","usgsCitation":"Long, J.M., Snow, R.A., and Patterson, C.P., 2016, A comparison of lead lengths for mini-fyke nets to sample age-0 gar species: Proceedings of the Oklahoma Academy of Science, v. 96, p. 28-35.","productDescription":"14 p.","startPage":"28","endPage":"35","ipdsId":"IP-073137","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354028,"type":{"id":15,"text":"Index Page"},"url":"https://www.ojs.library.okstate.edu/osu/index.php/OAS/article/download/7198/6631"}],"volume":"96","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee923e4b0da30c1bfc52b","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snow, Richard A.","contributorId":176213,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":735098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Chas P.","contributorId":204825,"corporation":false,"usgs":false,"family":"Patterson","given":"Chas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":735099,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190301,"text":"70190301 - 2016 - Teaching animal habitat selection using wildlife tracking equipment","interactions":[],"lastModifiedDate":"2017-08-24T12:07:29","indexId":"70190301","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5479,"text":"Science Activities","active":true,"publicationSubtype":{"id":10}},"title":"Teaching animal habitat selection using wildlife tracking equipment","docAbstract":"<p><span>We present a hands-on outdoor activity coupled with classroom discussion to teach students about wildlife habitat selection, the process by which animals choose where to live. By selecting locations or habitats with many benefits (e.g., food, shelter, mates) and few costs (e.g., predators), animals improve their ability to survive and reproduce. Biologists track animal movement using radio telemetry technology to study habitat selection so they can better provide species with habitats that promote population growth. We present a curriculum in which students locate “animals” (transmitters) using radio telemetry equipment and apply math skills (use of fractions and percentages) to assess their “animal's” habitat selection by comparing the availability of habitat types with the proportion of “animals” they find in each habitat type.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00368121.2016.1211080","usgsCitation":"Laskowski, J., Gillespie, C.R., Corral, L., Oden, A., Fricke, K.A., and Fontaine, J.J., 2016, Teaching animal habitat selection using wildlife tracking equipment: Science Activities, v. 53, no. 4, p. 147-154, https://doi.org/10.1080/00368121.2016.1211080.","productDescription":"8 p.","startPage":"147","endPage":"154","ipdsId":"IP-055757","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":345109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"599fe5b9e4b038630d0220fe","contributors":{"authors":[{"text":"Laskowski, Jessica","contributorId":195834,"corporation":false,"usgs":false,"family":"Laskowski","given":"Jessica","email":"","affiliations":[],"preferred":false,"id":708383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gillespie, Caitlyn R.","contributorId":195835,"corporation":false,"usgs":false,"family":"Gillespie","given":"Caitlyn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corral, Lucia","contributorId":166717,"corporation":false,"usgs":false,"family":"Corral","given":"Lucia","email":"","affiliations":[],"preferred":false,"id":708385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oden, Amy","contributorId":195836,"corporation":false,"usgs":false,"family":"Oden","given":"Amy","email":"","affiliations":[],"preferred":false,"id":708386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fricke, Kent A.","contributorId":45193,"corporation":false,"usgs":true,"family":"Fricke","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fontaine, Joseph J. 0000-0002-7639-9156 jfontaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-9156","contributorId":3820,"corporation":false,"usgs":true,"family":"Fontaine","given":"Joseph","email":"jfontaine@usgs.gov","middleInitial":"J.","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":708358,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198152,"text":"70198152 - 2016 - Orbital monitoring of martian surface changes","interactions":[],"lastModifiedDate":"2018-07-18T09:56:06","indexId":"70198152","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Orbital monitoring of martian surface changes","docAbstract":"A history of martian surface changes is documented by a sequence of global mosaics made up of Mars Global Surveyor Mars Orbiter Camera daily color images from 1999 to 2006, together with a single mosaic from the Mars Reconnaissance Orbiter Mars Color Imager in 2009. These observations show that changes in the global albedo patterns of Mars take place by a combination of dust storms and strong winds. Many of the observed surface changes took place along the tracks of seasonally repeating winter dust storms cataloged by Wang and Richardson (2015). These storms tend to sweep dust towards the equator, progressively shifting albedo boundaries and continuing surface changes that began before the arrival of MGS. The largest and most conspicuous changes took place during the global dust storm of 2001 (MY 25), which blanketed Syrtis Major, stripped dust from the Tharsis region, and injected dust into Solis Planum. High wind speeds but low wind stresses are predicted in Syrtis, Tharsis and Solis by the NASA Ames GCM. Frequent changes in these regions show that dust accumulations are quickly removed by stronger winds that are not predicted by the GCM, but may result from smaller-scale influences such as unresolved topography.","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.05.023","usgsCitation":"Geissler, P.E., Fenton, L., Enga, M., and Mukherjee, P., 2016, Orbital monitoring of martian surface changes: Icarus, v. 278, p. 279-300, https://doi.org/10.1016/j.icarus.2016.05.023.","productDescription":"22 p.","startPage":"279","endPage":"300","ipdsId":"IP-054080","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":355749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"278","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc7d7e4b0f5d57878ebf3","contributors":{"authors":[{"text":"Geissler, Paul E. pgeissler@usgs.gov","contributorId":2811,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","email":"pgeissler@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":740273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenton, L.K.","contributorId":206378,"corporation":false,"usgs":false,"family":"Fenton","given":"L.K.","email":"","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":740274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enga, M.","contributorId":206379,"corporation":false,"usgs":false,"family":"Enga","given":"M.","email":"","affiliations":[{"id":37320,"text":"Macomb Community College","active":true,"usgs":false}],"preferred":false,"id":740275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mukherjee, P.","contributorId":206380,"corporation":false,"usgs":false,"family":"Mukherjee","given":"P.","email":"","affiliations":[{"id":13342,"text":"Mesa Community College","active":true,"usgs":false}],"preferred":false,"id":740276,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193304,"text":"70193304 - 2016 - A special issue devoted to proterozoic iron oxide-apatite (±REE) and iron oxide copper-gold and affiliated deposits of Southeast Missouri, USA, and the Great Bear Magmatic Zone, Northwest Territories, Canada: Preface","interactions":[],"lastModifiedDate":"2017-11-28T12:43:14","indexId":"70193304","displayToPublicDate":"2016-12-31T00:00:00","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":"A special issue devoted to proterozoic iron oxide-apatite (±REE) and iron oxide copper-gold and affiliated deposits of Southeast Missouri, USA, and the Great Bear Magmatic Zone, Northwest Territories, Canada: Preface","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.1803","usgsCitation":"Slack, J.F., Corriveau, L., and Hitzman, M., 2016, A special issue devoted to proterozoic iron oxide-apatite (±REE) and iron oxide copper-gold and affiliated deposits of Southeast Missouri, USA, and the Great Bear Magmatic Zone, Northwest Territories, Canada: Preface: Economic Geology, v. 111, no. 8, p. 1803-1814, https://doi.org/10.2113/econgeo.111.8.1803.","productDescription":"12 p.","startPage":"1803","endPage":"1814","ipdsId":"IP-079115","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Missouri, Northwest Territories","volume":"111","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-16","publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e1c","contributors":{"authors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":718608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corriveau, L.","contributorId":199311,"corporation":false,"usgs":false,"family":"Corriveau","given":"L.","affiliations":[],"preferred":false,"id":718609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitzman, M.W.","contributorId":199312,"corporation":false,"usgs":false,"family":"Hitzman","given":"M.W.","affiliations":[],"preferred":false,"id":718610,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193497,"text":"70193497 - 2016 - Resource potential for commodities in addition to Uranium in sandstone-hosted deposits","interactions":[],"lastModifiedDate":"2020-08-20T20:17:04.481889","indexId":"70193497","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5459,"text":"Reviews in Economic Geology","active":true,"publicationSubtype":{"id":24}},"chapter":"13","title":"Resource potential for commodities in addition to Uranium in sandstone-hosted deposits","docAbstract":"<p><span>Sandstone-hosted deposits mined primarily for their uranium content also have been a source of vanadium and modest amounts of copper. Processing of these ores has also recovered small amounts of molybdenum, rhenium, rare earth elements, scandium, and selenium. These deposits share a generally common origin, but variations in the source of metals, composition of ore-forming solutions, and geologic history result in complex variability in deposit composition. This heterogeneity is evident regionally within the same host rock, as well as within districts. Future recovery of elements associated with uranium in these deposits will be strongly dependent on mining and ore-processing methods.</span></p>","largerWorkTitle":"Rare earth and critical elements in ore deposits","language":"English","publisher":"Society of Economic Geologists","usgsCitation":"Breit, G.N., 2016, Resource potential for commodities in addition to Uranium in sandstone-hosted deposits, chap. 13 <i>of</i> Rare earth and critical elements in ore deposits: Reviews in Economic Geology, p. 323-338.","productDescription":"16 p.","startPage":"323","endPage":"338","ipdsId":"IP-057031","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":349564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e19","contributors":{"authors":[{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719258,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70182766,"text":"70182766 - 2016 - Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA","interactions":[],"lastModifiedDate":"2019-02-01T15:58:49","indexId":"70182766","displayToPublicDate":"2016-12-31T00:00:00","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":"Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA","docAbstract":"<p>This paper provides an overview on the genesis of Mesoproterozoic igneous rocks and associated iron oxide ± apatite (IOA) ± rare earth element, iron oxide-copper-gold (IOCG), and iron-rich sedimentary deposits in the St. Francois Mountains terrane of southeast Missouri, USA. The St. Francois Mountains terrane lies along the southeastern margin of Laurentia as part of the eastern granite-rhyolite province. The province formed during two major pulses of igneous activity: (1) an older early Mesoproterozoic (ca. 1.50–1.44 Ga) episode of volcanism and granite plutonism, and (2) a younger middle Mesoproterozoic (ca. 1.33–1.30 Ga) episode of bimodal gabbro and granite plutonism. The volcanic rocks are predominantly high-silica rhyolite pyroclastic flows, volcanogenic breccias, and associated volcanogenic sediments with lesser amounts of basaltic to andesitic volcanic and associated subvolcanic intrusive rocks. The iron oxide deposits are all hosted in the early Mesoproterozoic volcanic and volcaniclastic sequences. Previous studies have characterized the St. Francois Mountains terrane as a classic, A-type within-plate granitic terrane. However, our new whole-rock geochemical data indicate that the felsic volcanic rocks are effusive derivatives from multicomponent source types, having compositional similarities to A-type within-plate granites as well as to S- and I-type granites generated in an arc setting. In addition, the volcanic-hosted IOA and IOCG deposits occur within bimodal volcanic sequences, some of which have volcanic arc geochemical affinities, suggesting an extensional tectonic setting during volcanism prior to emplacement of the ore-forming systems.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.111.8.1825","usgsCitation":"Day, W.C., Slack, J.F., Ayuso, R.A., and Seeger, C.M., 2016, Regional geologic and petrologic framework for iron oxide ± apatite ± rare earth element and iron oxide copper-gold deposits of the Mesoproterozoic St. Francois Mountains terrane, southeast Missouri, USA: Economic Geology, v. 111, no. 8, p. 1825-1858, https://doi.org/10.2113/econgeo.111.8.1825.","productDescription":"34 p. 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,{"id":70198161,"text":"70198161 - 2016 - Building damage survey and microtremor measurements for the source region of the 2015 Gorkha, Nepal, earthquake","interactions":[],"lastModifiedDate":"2018-07-18T09:55:53","indexId":"70198161","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1430,"text":"Earth, Planets and Space","active":true,"publicationSubtype":{"id":10}},"title":"Building damage survey and microtremor measurements for the source region of the 2015 Gorkha, Nepal, earthquake","docAbstract":"We performed a damage survey of buildings and carried out microtremor observations in the source region of the 2015 Gorkha earthquake. Our survey area spans the Kathmandu valley and areas to the east and north of the valley. Damage of buildings in the Kathmandu valley was localized, and the percentage of the totally collapsed buildings was less than 5 %. East of the Kathmandu valley, especially in Sindhupalchok district, damage of buildings was more severe. In the center of Chautara and Bahrabise, towns in Sindhupalchok district, the percentage of the totally collapsed houses exceeded 40 %. North of the Kathmandu valley, the damage was moderate, and 20–30 % of the buildings were totally collapsed in Dhunche. Based on the past studies and our microtremor observations near the strong motion station, the H/V spectrum in Kathmandu has a peak at around 0.3 Hz, which reflects the velocity contrast of the deep sedimentary basin. The H/V spectra in Bahrabise, Chautara, and Dhunche do not show clear peaks, which suggests that the sites have stiff soil conditions. Therefore, the more severe damage outside the Kathmandu valley compared with the relatively light damage levels in the valley is probably due to the source characteristics of the earthquake and/or the seismic performance of buildings, rather than the local site conditions.","language":"English","publisher":"Springer","doi":"10.1186/s40623-016-0483-4","usgsCitation":"Yamada, M., Hayashida, T., Mori, J., and Mooney, W., 2016, Building damage survey and microtremor measurements for the source region of the 2015 Gorkha, Nepal, earthquake: Earth, Planets and Space, e117; 8 p., https://doi.org/10.1186/s40623-016-0483-4.","productDescription":"e117; 8 p.","ipdsId":"IP-070252","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40623-016-0483-4","text":"Publisher Index Page"},{"id":355765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              84.0179443359375,\n              27.36201054924028\n            ],\n            [\n              85.484619140625,\n              27.36201054924028\n            ],\n            [\n              85.484619140625,\n              28.73394733840369\n            ],\n            [\n              84.0179443359375,\n              28.73394733840369\n            ],\n            [\n              84.0179443359375,\n              27.36201054924028\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-13","publicationStatus":"PW","scienceBaseUri":"5b6fc7d7e4b0f5d57878ebf1","contributors":{"authors":[{"text":"Yamada, Masumi","contributorId":206385,"corporation":false,"usgs":false,"family":"Yamada","given":"Masumi","email":"","affiliations":[{"id":37321,"text":"University of Kyoto","active":true,"usgs":false}],"preferred":false,"id":740312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayashida, Takumi","contributorId":206386,"corporation":false,"usgs":false,"family":"Hayashida","given":"Takumi","email":"","affiliations":[{"id":34873,"text":"Building Research Institute, Tsukuba, Japan","active":true,"usgs":false}],"preferred":false,"id":740313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mori, James","contributorId":206387,"corporation":false,"usgs":false,"family":"Mori","given":"James","affiliations":[{"id":37321,"text":"University of Kyoto","active":true,"usgs":false}],"preferred":false,"id":740314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mooney, Walter 0000-0002-5310-3631","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":206384,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":740311,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194342,"text":"70194342 - 2016 - Modeling ancient land use and resilient forests in the Jemez Mountains","interactions":[],"lastModifiedDate":"2017-11-28T11:06:20","indexId":"70194342","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5568,"text":"Archaeology Southwest Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Modeling ancient land use and resilient forests in the Jemez Mountains","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Archaeology Southwest","usgsCitation":"Loehman, R.A., 2016, Modeling ancient land use and resilient forests in the Jemez Mountains: Archaeology Southwest Magazine, v. 30, no. 4.","ipdsId":"IP-077246","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":349428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349301,"type":{"id":15,"text":"Index Page"},"url":"https://www.archaeologysouthwest.org/product/asw30-4/"}],"volume":"30","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc65e4b06e28e9c23e12","contributors":{"authors":[{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":723378,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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