{"pageNumber":"1027","pageRowStart":"25650","pageSize":"25","recordCount":165496,"records":[{"id":70174940,"text":"ofr20161084 - 2016 - Viability of the Alaskan breeding population of Steller’s eiders","interactions":[],"lastModifiedDate":"2016-10-11T15:47:23","indexId":"ofr20161084","displayToPublicDate":"2016-10-11T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1084","title":"Viability of the Alaskan breeding population of Steller’s eiders","docAbstract":"<p>The U.S. Fish and Wildlife Service is tasked with setting objective and measurable criteria for delisting species or populations listed under the Endangered Species Act. Determining the acceptable threshold for extinction risk for any species or population is a challenging task, particularly when facing marked uncertainty. The Alaskan breeding population of Steller’s eiders (<i>Polysticta stelleri</i>) was listed as threatened under the Endangered Species Act in 1997 because of a perceived decline in abundance throughout their nesting range and geographic isolation from the Russian breeding population. Previous genetic studies and modeling efforts, however, suggest that there may be dispersal from the Russian breeding population. Additionally, evidence exists of population level nonbreeding events. Research was conducted to estimate population viability of the Alaskan breeding population of Steller’s eiders, using both an open and closed model of population process for this threatened population. Projections under a closed population model suggest this population has a 100 percent probability of extinction within 42 years. Projections under an open population model suggest that with immigration there is no probability of permanent extinction. Because of random immigration process and nonbreeding behavior, however, it is likely that this population will continue to be present in low and highly variable numbers on the breeding grounds in Alaska. Monitoring the winter population, which includes both Russian and Alaskan breeding birds, may offer a more comprehensive indication of population viability.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161084","usgsCitation":"Dunham, Kylee, and Grand, J.B., 2016, Viability of the Alaskan breeding population of Steller’s eiders: U.S. Geological Survey Open-File Report 2016–1084, 8 p., https://dx.doi.org/10.3133/ofr20161084.","productDescription":"v, 8 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074532","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":329251,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/ofr20161062","text":"Open-File Report 2016–1062","description":"Open-File Report 2016–1062","linkHelpText":"- Evaluating Models of Population Process in a Threatened Population of Steller’s Eiders: A Retrospective Approach"},{"id":329249,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1084/ofr20161084.pdf","text":"Report","size":"232 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1084"},{"id":329248,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1084/coverthb.jpg"}],"contact":"<p>Chief, Cooperative Research Units<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> Reston, VA 20192-0002<br> <a href=\"https://www.usgs.gov/science/mission-areas/ecosystems\" data-mce-href=\"https://www.usgs.gov/science/mission-areas/ecosystems\">https://www.usgs.gov/science/mission-areas/ecosystems </a></p>","tableOfContents":"<ul><li>Ackknowledgments&nbsp;</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-10-11","noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"57fe679ae4b0824b2d1436ef","contributors":{"authors":[{"text":"Dunham, Kylee","contributorId":173081,"corporation":false,"usgs":false,"family":"Dunham","given":"Kylee","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":643252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":643251,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176863,"text":"70176863 - 2016 - Demographic characteristics of an adfluvial bull trout population in Lake Pend Oreille, Idaho","interactions":[],"lastModifiedDate":"2016-10-12T10:10:01","indexId":"70176863","displayToPublicDate":"2016-10-11T14:50:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Demographic characteristics of an adfluvial bull trout population in Lake Pend Oreille, Idaho","docAbstract":"<p><span>Introductions of nonnative species, habitat loss, and stream fragmentation have caused the Bull Trout&nbsp;</span><i>Salvelinus confluentus</i><span> to decline throughout much of its native distribution. Consequently, in June 1998, the Bull Trout was listed under the U.S. Endangered Species Act as threatened. The Bull Trout has existed in Lake Pend Oreille and its surrounding tributaries since the last ice age, and the lake once supported a world-renowned Bull Trout fishery. To quantify the current status of the Bull Trout population in Lake Pend Oreille, Idaho, we compared the mean age, growth, maturity, and abundance with reports in a study conducted one decade earlier. Abundance was estimated by mark–recapture for Bull Trout caught in trap nets and gill nets set in Lake Pend Oreille during ongoing suppression netting of Lake Trout </span><i>S. namaycush</i><span>in 2007–2008. Bull Trout sampled in 2006–2008 were used to estimate age structure, survival, growth, and maturity. Estimated Bull Trout abundance was similar to that estimated one decade earlier in Lake Pend Oreille. Bull Trout residing in Lake Pend Oreille between 2006 and 2008 were between ages 4 and 14 years; their growth was fastest between ages 1 and 2 and slowed thereafter. Male and female Bull Trout matured at a similar age, but females grew faster than males, thereby maturing at a larger size. Our findings suggest that management has effectively addressed current threats to increase the likelihood of long-term persistence of the Bull Trout population in Lake Pend Oreille.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1209602","usgsCitation":"McCubbins, J.L., Hansen, M.J., DosSantos, J., and Dux, A.M., 2016, Demographic characteristics of an adfluvial bull trout population in Lake Pend Oreille, Idaho: North American Journal of Fisheries Management, v. 36, no. 6, p. 1269-1277, https://doi.org/10.1080/02755947.2016.1209602.","productDescription":"9 p.","startPage":"1269","endPage":"1277","ipdsId":"IP-073414","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":329452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Pend Oreille","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.00851440429688,\n              47.933826688535746\n            ],\n            [\n              -117.00851440429688,\n              48.33708192135741\n            ],\n            [\n              -116.05270385742188,\n              48.33708192135741\n            ],\n            [\n              -116.05270385742188,\n              47.933826688535746\n            ],\n            [\n              -117.00851440429688,\n              47.933826688535746\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-07","publicationStatus":"PW","scienceBaseUri":"57fe679ae4b0824b2d1436f1","contributors":{"authors":[{"text":"McCubbins, Jonathan L","contributorId":175254,"corporation":false,"usgs":false,"family":"McCubbins","given":"Jonathan","email":"","middleInitial":"L","affiliations":[{"id":17613,"text":"University of Wisconsin - Stevens Point","active":true,"usgs":false}],"preferred":false,"id":650557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Michael J. 0000-0001-8522-3876 michaelhansen@usgs.gov","orcid":"https://orcid.org/0000-0001-8522-3876","contributorId":5006,"corporation":false,"usgs":true,"family":"Hansen","given":"Michael","email":"michaelhansen@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":650556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DosSantos, Joseph M","contributorId":175255,"corporation":false,"usgs":false,"family":"DosSantos","given":"Joseph M","affiliations":[{"id":27546,"text":"Avista Utilities","active":true,"usgs":false}],"preferred":false,"id":650558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dux, Andrew M.","contributorId":175256,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":650559,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176864,"text":"70176864 - 2016 - Triennial changes in groundwater quality in aquifers used for public supply in California: Utility as indicators of temporal trends","interactions":[],"lastModifiedDate":"2016-10-11T14:53:42","indexId":"70176864","displayToPublicDate":"2016-10-11T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Triennial changes in groundwater quality in aquifers used for public supply in California: Utility as indicators of temporal trends","docAbstract":"<p><span>From 2004 to 2011, the U.S. Geological Survey collected samples from 1686 wells across the State of California as part of the California State Water Resources Control Board’s Groundwater Ambient Monitoring and Assessment (GAMA) Priority Basin Project (PBP). From 2007 to 2013, 224 of these wells were resampled to assess temporal trends in water quality. The samples were analyzed for 216 water-quality constituents, including inorganic and organic compounds as well as isotopic tracers. The resampled wells were grouped into five hydrogeologic zones. A nonparametric hypothesis test was used to test the differences between initial sampling and resampling results to evaluate possible step trends in water-quality, statewide, and within each hydrogeologic zone. The hypothesis tests were performed on the 79 constituents that were detected in more than 5&nbsp;% of the samples collected during either sampling period in at least one hydrogeologic zone. Step trends were detected for 17 constituents. Increasing trends were detected for alkalinity, aluminum, beryllium, boron, lithium, orthophosphate, perchlorate, sodium, and specific conductance. Decreasing trends were detected for atrazine, cobalt, dissolved oxygen, lead, nickel, pH, simazine, and tritium. Tritium was expected to decrease due to decreasing values in precipitation, and the detection of decreases indicates that the method is capable of resolving temporal trends.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-016-5618-3","usgsCitation":"Kent, R.H., and Landon, M.K., 2016, Triennial changes in groundwater quality in aquifers used for public supply in California: Utility as indicators of temporal trends: Environmental Monitoring and Assessment, v. 188, Article 610; 17 p., https://doi.org/10.1007/s10661-016-5618-3.","productDescription":"Article 610; 17 p.","ipdsId":"IP-059885","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"188","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-08","publicationStatus":"PW","scienceBaseUri":"57fe679ae4b0824b2d1436f3","contributors":{"authors":[{"text":"Kent, Robert H. 0000-0003-4174-9467 rhkent@usgs.gov","orcid":"https://orcid.org/0000-0003-4174-9467","contributorId":175257,"corporation":false,"usgs":true,"family":"Kent","given":"Robert","email":"rhkent@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science 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,{"id":70176859,"text":"70176859 - 2016 - Large-scale changes in bloater growth and condition in Lake Huron","interactions":[],"lastModifiedDate":"2016-10-11T15:14:08","indexId":"70176859","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale changes in bloater growth and condition in Lake Huron","docAbstract":"<p>Native Bloaters <i>Coregonus hoyi</i> have exhibited multiple strong year-classes since 2005 and now are the most abundant benthopelagic offshore prey fish in Lake Huron, following the crash of nonnative Alewives<i>Alosa pseudoharengus</i> and substantial declines in nonnative Rainbow Smelt <i>Osmerus mordax</i>. Despite recent recoveries in Bloater abundance, marketable-size (&gt;229 mm) Bloaters remain scarce. We used annual survey data to assess temporal and spatial dynamics of Bloater body condition and lengths at age in the main basin of Lake Huron from 1973 to 2014. Basinwide lengths at age were modeled by cohort for the 1973–2003 year-classes using a von Bertalanffy growth model with time-varying Brody growth coefficient (<i>k</i>) and asymptotic length (<img src=\"http://www.tandfonline.com/na101/home/literatum/publisher/tandf/journals/content/utaf20/2016/utaf20.v145.i06/00028487.2016.1214176/20161007/images/utaf_a_1214176_ilm0001.gif\" alt=\"\" data-formula-source=\"{&quot;type&quot; : &quot;image&quot;, &quot;src&quot; : &quot;/na101/home/literatum/publisher/tandf/journals/content/utaf20/2016/utaf20.v145.i06/00028487.2016.1214176/20161007/images/utaf_a_1214176_ilm0001.gif&quot;}\" data-mce-src=\"http://www.tandfonline.com/na101/home/literatum/publisher/tandf/journals/content/utaf20/2016/utaf20.v145.i06/00028487.2016.1214176/20161007/images/utaf_a_1214176_ilm0001.gif\"><span>) parameters. Median Bloater weights at selected lengths were estimated to assess changes in condition by modeling weight–length relations with an allometric growth model that allowed growth parameters to vary spatially and temporally. Estimated Bloater lengths at age declined 14–24% among ages 4–8 for all year-classes between 1973 and 2004. Estimates of&nbsp;</span><img src=\"http://www.tandfonline.com/na101/home/literatum/publisher/tandf/journals/content/utaf20/2016/utaf20.v145.i06/00028487.2016.1214176/20161007/images/utaf_a_1214176_ilm0002.gif\" alt=\"\" data-formula-source=\"{&quot;type&quot; : &quot;image&quot;, &quot;src&quot; : &quot;/na101/home/literatum/publisher/tandf/journals/content/utaf20/2016/utaf20.v145.i06/00028487.2016.1214176/20161007/images/utaf_a_1214176_ilm0002.gif&quot;}\" data-mce-src=\"http://www.tandfonline.com/na101/home/literatum/publisher/tandf/journals/content/utaf20/2016/utaf20.v145.i06/00028487.2016.1214176/20161007/images/utaf_a_1214176_ilm0002.gif\"><span> declined from a peak of 394 mm (1973 year-class) to a minimum of 238 mm (1998 year-class). Observed mean lengths at age in 2014 were at all-time lows, suggesting that year-classes comprising the current Bloater population would have to follow growth trajectories unlike those characterizing the 1973–2003 year-classes to attain marketable size. Furthermore, estimated weights of 250-mm Bloaters (i.e., a large, commercially valuable size-class) declined 17% among all regions from 1976 to 2007. Decreases in body condition of large Bloaters are associated with lower lipid content and may be linked to marked declines in abundance of the amphipods</span><i>Diporeia</i><span> spp. in Lake Huron. We hypothesize that since at least 1976, large Bloaters have become more negatively buoyant and may have incurred an increasingly greater metabolic cost performing diel vertical migrations to prey upon the opossum shrimp </span><i>Mysis diluviana</i><span> and zooplankton.</span><br></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1214176","usgsCitation":"Prichard, C.G., Roseman, E., Keeler, K.M., O’Brien, T.P., and Riley, S.C., 2016, Large-scale changes in bloater growth and condition in Lake Huron: Transactions of the American Fisheries Society, v. 145, no. 6, p. 1241-1251, https://doi.org/10.1080/00028487.2016.1214176.","productDescription":"11 p.","startPage":"1241","endPage":"1251","ipdsId":"IP-074730","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":329461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Huron","volume":"145","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-07","publicationStatus":"PW","scienceBaseUri":"57fe679ae4b0824b2d1436f7","contributors":{"authors":[{"text":"Prichard, Carson G. cprichard@usgs.gov","contributorId":168429,"corporation":false,"usgs":true,"family":"Prichard","given":"Carson","email":"cprichard@usgs.gov","middleInitial":"G.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":650542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":534,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":650541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeler, Kevin M. 0000-0002-8118-0060 kkeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-8118-0060","contributorId":4377,"corporation":false,"usgs":true,"family":"Keeler","given":"Kevin","email":"kkeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":650543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":650544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":650545,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176830,"text":"70176830 - 2016 - Potential effects of climate change on streamflow for seven watersheds in eastern and central Montana","interactions":[],"lastModifiedDate":"2017-03-10T11:22:18","indexId":"70176830","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of climate change on streamflow for seven watersheds in eastern and central Montana","docAbstract":"<h4 id=\"absSec_1\">Study region</h4><p id=\"spar0040\">Eastern and central Montana.</p><h4 id=\"absSec_2\">Study focus</h4><p id=\"spar0045\">Fish in Northern Great Plains streams tolerate extreme conditions including heat, cold, floods, and drought; however changes in streamflow associated with long-term climate change may render some prairie streams uninhabitable for current fish species. To better understand future hydrology of these prairie streams, the Precipitation-Runoff Modeling System model and output from the RegCM3 Regional Climate model were used to simulate streamflow for seven watersheds in eastern and central Montana, for a baseline period (water years 1982–1999) and three future periods: water years 2021–2038 (2030 period), 2046–2063 (2055 period), and 2071–2088 (2080 period).</p><h4 id=\"absSec_3\">New hydrological insights for the region</h4><p id=\"spar0050\">Projected changes in mean annual and mean monthly streamflow vary by the RegCM3 model selected, by watershed, and by future period. Mean annual streamflows for all future periods are projected to increase (11–21%) for two of the four central Montana watersheds: Middle Musselshell River and Cottonwood Creek. Mean annual streamflows for all future periods are projected to decrease (changes of −24 to −75%) for Redwater River watershed in eastern Montana. Mean annual streamflows are projected to increase slightly (2–15%) for the 2030 period and decrease (changes of −16 to −44%) for the 2080 period for the four remaining watersheds.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2016.06.001","usgsCitation":"Chase, K.J., Haj, A., Regan, R.S., and Viger, R., 2016, Potential effects of climate change on streamflow for seven watersheds in eastern and central Montana: Journal of Hydrology: Regional Studies, v. 7, p. 69-81, https://doi.org/10.1016/j.ejrh.2016.06.001.","productDescription":"13 p.","startPage":"69","endPage":"81","ipdsId":"IP-062632","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":470510,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2016.06.001","text":"Publisher Index Page"},{"id":438538,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P26W5S","text":"USGS data release","linkHelpText":"Documentation of the Precipitation-Runoff Modeling System and Output from the RegCM3 Regional Climate Model Used to Estimate Potential Effects of Climate Change on Streamflow for Seven Watersheds in Eastern and Central Montana (2013-2014 Analyses)"},{"id":329422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337329,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/doi:10.5066/F7P26W5S","text":"Potential effects of climate change on streamflow in eastern and central Montana (2013-2014 analyses) - PRMS model input and output"}],"country":"United 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Steven 0000-0003-4803-8596","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":87237,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":650481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":1204,"corporation":false,"usgs":true,"family":"Viger","given":"Roland J.","email":"rviger@usgs.gov","affiliations":[],"preferred":false,"id":650482,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176849,"text":"70176849 - 2016 - High resolution mapping of development in the wildland-urban interface using object based image extraction","interactions":[],"lastModifiedDate":"2016-10-11T10:58:51","indexId":"70176849","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5211,"text":"Heliyon","active":true,"publicationSubtype":{"id":10}},"title":"High resolution mapping of development in the wildland-urban interface using object based image extraction","docAbstract":"<p><span>The wildland-urban interface (WUI), the area where human development encroaches on undeveloped land, is expanding throughout the western United States resulting in increased wildfire risk to homes and communities. Although census based mapping efforts have provided insights into the pattern of development and expansion of the WUI at regional and national scales, these approaches do not provide sufficient detail for fine-scale fire and emergency management planning, which requires maps of individual building locations. Although fine-scale maps of the WUI have been developed, they are often limited in their spatial extent, have unknown accuracies and biases, and are costly to update over time. In this paper we assess a semi-automated Object Based Image Analysis (OBIA) approach that utilizes 4-band multispectral National Aerial Image Program (NAIP) imagery for the detection of individual buildings within the WUI. We evaluate this approach by comparing the accuracy and overall quality of extracted buildings to a building footprint control dataset. In addition, we assessed the effects of buffer distance, topographic conditions, and building characteristics on the accuracy and quality of building extraction. The overall accuracy and quality of our approach was positively related to buffer distance, with accuracies ranging from 50 to 95% for buffer distances from 0 to 100 m. Our results also indicate that building detection was sensitive to building size, with smaller outbuildings (footprints less than 75 m</span><sup>2</sup><span>) having detection rates below 80% and larger residential buildings having detection rates above 90%. These findings demonstrate that this approach can successfully identify buildings in the WUI in diverse landscapes while achieving high accuracies at buffer distances appropriate for most fire management applications while overcoming cost and time constraints associated with traditional approaches. This study is unique in that it evaluates the ability of an OBIA approach to extract highly detailed data on building locations in a WUI setting.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.heliyon.2016.e00174","usgsCitation":"Caggiano, M.D., Tinkham, W.T., Hoffman, C., Cheng, A.S., and Hawbaker, T., 2016, High resolution mapping of development in the wildland-urban interface using object based image extraction: Heliyon, v. 2, no. 10, Article e00174; 19 p., https://doi.org/10.1016/j.heliyon.2016.e00174.","productDescription":"Article e00174; 19 p.","ipdsId":"IP-075187","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470513,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.heliyon.2016.e00174","text":"Publisher Index Page"},{"id":329419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107,\n              39\n            ],\n            [\n              -107,\n              41\n            ],\n            [\n              -104,\n              41\n            ],\n            [\n              -104,\n              39\n            ],\n            [\n              -107,\n              39\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe679be4b0824b2d1436fb","contributors":{"authors":[{"text":"Caggiano, Michael D.","contributorId":175232,"corporation":false,"usgs":false,"family":"Caggiano","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":650507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tinkham, Wade T.","contributorId":175233,"corporation":false,"usgs":false,"family":"Tinkham","given":"Wade","email":"","middleInitial":"T.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":650508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoffman, Chad ","contributorId":175234,"corporation":false,"usgs":false,"family":"Hoffman","given":"Chad ","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":650509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cheng, Antony S.","contributorId":175235,"corporation":false,"usgs":false,"family":"Cheng","given":"Antony","email":"","middleInitial":"S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":650510,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":650506,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176878,"text":"70176878 - 2016 - Mercury and methylmercury in aquatic sediment across western North America","interactions":[],"lastModifiedDate":"2018-08-07T12:23:42","indexId":"70176878","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Mercury and methylmercury in aquatic sediment across western North America","docAbstract":"<p><span>Large-scale assessments are valuable in identifying primary factors controlling total mercury (THg) and monomethyl mercury (MeHg) concentrations, and distribution in aquatic ecosystems. Bed sediment THg and MeHg concentrations were compiled for &gt;&nbsp;16,000 samples collected from aquatic habitats throughout the West between 1965 and 2013. The influence of aquatic feature type (canals, estuaries, lakes, and streams), and environmental setting (agriculture, forest, open-water, range, wetland, and urban) on THg and MeHg concentrations was examined. THg concentrations were highest in lake (29.3&nbsp;±&nbsp;6.5&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) and canal (28.6&nbsp;±&nbsp;6.9&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) sites, and lowest in stream (20.7&nbsp;±&nbsp;4.6&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) and estuarine (23.6&nbsp;±&nbsp;5.6&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) sites, which was partially a result of differences in grain size related to hydrologic gradients. By environmental setting, open-water (36.8&nbsp;±&nbsp;2.2&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) and forested (32.0&nbsp;±&nbsp;2.7&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) sites generally had the highest THg concentrations, followed by wetland sites (28.9&nbsp;±&nbsp;1.7&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>), rangeland (25.5&nbsp;±&nbsp;1.5&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>), agriculture (23.4&nbsp;±&nbsp;2.0&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>), and urban (22.7&nbsp;±&nbsp;2.1&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) sites. MeHg concentrations also were highest in lakes (0.55&nbsp;±&nbsp;0.05&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>) and canals (0.54&nbsp;±&nbsp;0.11&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>), but, in contrast to THg, MeHg concentrations were lowest in open-water sites (0.22&nbsp;±&nbsp;0.03&nbsp;μg&nbsp;kg</span><sup>−&nbsp;1</sup><span>). The median percent MeHg (relative to THg) for the western region was 0.7%, indicating an overall low methylation efficiency; however, a significant subset of data (n&nbsp;&gt;&nbsp;100) had percentages that represent elevated methylation efficiency (&gt;&nbsp;6%). MeHg concentrations were weakly correlated with THg (r</span><sup>2</sup><span>&nbsp;=&nbsp;0.25) across western North America. Overall, these results highlight the large spatial variability in sediment THg and MeHg concentrations throughout western North America and underscore the important roles that landscape and land-use characteristics have on the MeHg cycle.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.03.044","usgsCitation":"Fleck, J., Marvin-DiPasquale, M.C., Eagles-Smith, C.A., Ackerman, J., Lutz, M.A., Tate, M., Alpers, C.N., Hall, B.D., Krabbenhoft, D.P., and Eckley, C.S., 2016, Mercury and methylmercury in aquatic sediment across western North America: Science of the Total Environment, v. 568, p. 727-738, https://doi.org/10.1016/j.scitotenv.2016.03.044.","productDescription":"12 p.","startPage":"727","endPage":"738","ipdsId":"IP-070290","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":470509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.03.044","text":"Publisher Index Page"},{"id":329462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"568","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe679ae4b0824b2d1436f5","chorus":{"doi":"10.1016/j.scitotenv.2016.03.044","url":"http://dx.doi.org/10.1016/j.scitotenv.2016.03.044","publisher":"Elsevier BV","authors":"Fleck Jacob A., Marvin-DiPasquale Mark, Eagles-Smith Collin A., Ackerman Joshua T., Lutz Michelle A., Tate Michael, Alpers Charles N., Hall Britt D., Krabbenhoft David P., Eckley Chris S.","journalName":"Science of The Total Environment","publicationDate":"10/2016"},"contributors":{"authors":[{"text":"Fleck, Jacob 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":168694,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","email":"jafleck@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":650583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":650585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lutz, Michelle A. malutz@usgs.gov","contributorId":167259,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle","email":"malutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650587,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650588,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hall, Britt D.","contributorId":27161,"corporation":false,"usgs":true,"family":"Hall","given":"Britt","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":650589,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650590,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Eckley, Chris S.","contributorId":167256,"corporation":false,"usgs":false,"family":"Eckley","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":650591,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70176844,"text":"70176844 - 2016 - Climate change is advancing spring onset across the U.S. national park system","interactions":[],"lastModifiedDate":"2016-10-13T15:40:08","indexId":"70176844","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Climate change is advancing spring onset across the U.S. national park system","docAbstract":"<p><span>Many U.S. national parks are already at the extreme warm end of their historical temperature distributions. With rapidly warming conditions, park resource management will be enhanced by information on seasonality of climate that supports adjustments in the timing of activities such as treating invasive species, operating visitor facilities, and scheduling climate-related events (e.g., flower festivals and fall leaf-viewing). Seasonal changes in vegetation, such as pollen, seed, and fruit production, are important drivers of ecological processes in parks, and phenology has thus been identified as a key indicator for park monitoring. Phenology is also one of the most proximate biological responses to climate change. Here, we use estimates of start of spring based on climatically modeled dates of first leaf and first bloom derived from indicator plant species to evaluate the recent timing of spring onset (past 10–30&nbsp;yr) in each U.S. natural resource park relative to its historical range of variability across the past 112&nbsp;yr (1901–2012). Of the 276 high latitude to subtropical parks examined, spring is advancing in approximately three-quarters of parks (76%), and 53% of parks are experiencing “extreme” early springs that exceed 95% of historical conditions. Our results demonstrate how changes in climate seasonality are important for understanding ecological responses to climate change, and further how spatial variability in effects of climate change necessitates different approaches to management. We discuss how our results inform climate change adaptation challenges and opportunities facing parks, with implications for other protected areas, by exploring consequences for resource management and planning.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1465","usgsCitation":"Monahan, W.B., Rosemartin, A., Gerst, K.L., Fisichelli, N.A., Ault, T.R., Schwartz, M.D., Gross, J.E., and Weltzin, J., 2016, Climate change is advancing spring onset across the U.S. national park system: Ecosphere, v. 7, no. 10, p. 1-17, https://doi.org/10.1002/ecs2.1465.","productDescription":"e01465; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-072799","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":470511,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1465","text":"Publisher Index Page"},{"id":329420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"57fe679be4b0824b2d1436ff","contributors":{"authors":[{"text":"Monahan, William B.","contributorId":175225,"corporation":false,"usgs":false,"family":"Monahan","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":27542,"text":"NPS I&M","active":true,"usgs":false}],"preferred":false,"id":650493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosemartin, Alyssa","contributorId":175226,"corporation":false,"usgs":false,"family":"Rosemartin","given":"Alyssa","affiliations":[],"preferred":false,"id":650494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerst, Katharine L.","contributorId":175227,"corporation":false,"usgs":false,"family":"Gerst","given":"Katharine","email":"","middleInitial":"L.","affiliations":[{"id":27543,"text":"National Phenology Network, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":650495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisichelli, Nicholas A.","contributorId":174508,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":27461,"text":"NPS, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":650496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ault, Toby R.","contributorId":146164,"corporation":false,"usgs":false,"family":"Ault","given":"Toby","email":"","middleInitial":"R.","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":650498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwartz, Mark D.","contributorId":175228,"corporation":false,"usgs":false,"family":"Schwartz","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":18038,"text":"University of Wisconsin, Milwaukee","active":true,"usgs":false}],"preferred":false,"id":650499,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gross, John E.","contributorId":106777,"corporation":false,"usgs":false,"family":"Gross","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":650497,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weltzin, Jake F. jweltzin@usgs.gov","contributorId":296,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake F.","email":"jweltzin@usgs.gov","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":false,"id":650492,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70176815,"text":"70176815 - 2016 - Seed bank and big sagebrush plant community composition in a range margin for big sagebrush","interactions":[],"lastModifiedDate":"2016-10-13T15:40:57","indexId":"70176815","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seed bank and big sagebrush plant community composition in a range margin for big sagebrush","docAbstract":"<p><span>The potential influence of seed bank composition on range shifts of species due to climate change is unclear. Seed banks can provide a means of both species persistence in an area and local range expansion in the case of increasing habitat suitability, as may occur under future climate change. However, a mismatch between the seed bank and the established plant community may represent an obstacle to persistence and expansion. In big sagebrush (</span><i>Artemisia tridentata</i><span>) plant communities in Montana, USA, we compared the seed bank to the established plant community. There was less than a 20% similarity in the relative abundance of species between the established plant community and the seed bank. This difference was primarily driven by an overrepresentation of native annual forbs and an underrepresentation of big sagebrush in the seed bank compared to the established plant community. Even though we expect an increase in habitat suitability for big sagebrush under future climate conditions at our sites, the current mismatch between the plant community and the seed bank could impede big sagebrush range expansion into increasingly suitable habitat in the future.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1453","usgsCitation":"Martyn, T.E., Bradford, J.B., Schlaepfer, D., Burke, I.C., and Laurenroth, W.K., 2016, Seed bank and big sagebrush plant community composition in a range margin for big sagebrush: Ecosphere, v. 7, no. 10, p. 1-11, https://doi.org/10.1002/ecs2.1453.","productDescription":"e01453; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-066809","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470508,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1453","text":"Publisher Index Page"},{"id":329463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"57fe679ce4b0824b2d143705","contributors":{"authors":[{"text":"Martyn, Trace E.","contributorId":175202,"corporation":false,"usgs":false,"family":"Martyn","given":"Trace","email":"","middleInitial":"E.","affiliations":[{"id":27536,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071 USA. E-mail: tmartyn@uwyo.edu","active":true,"usgs":false}],"preferred":false,"id":650406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":650405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":650407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burke, Ingrid C.","contributorId":127653,"corporation":false,"usgs":false,"family":"Burke","given":"Ingrid","email":"","middleInitial":"C.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":650409,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laurenroth, William K.","contributorId":175203,"corporation":false,"usgs":false,"family":"Laurenroth","given":"William","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":650408,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70176813,"text":"70176813 - 2016 - Household evacuation characteristics in American Samoa during the 2009 Samoa Islands tsunami","interactions":[],"lastModifiedDate":"2016-10-11T15:25:39","indexId":"70176813","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5212,"text":"Disasters","active":true,"publicationSubtype":{"id":10}},"title":"Household evacuation characteristics in American Samoa during the 2009 Samoa Islands tsunami","docAbstract":"<p><span>Tsunamis represent significant threats to human life and development in coastal communities. This quantitative study examines the influence of household characteristics on evacuation actions taken by 211 respondents in American Samoa who were at their homes during the 29 September 2009 M</span><sub>w</sub><span> 8.1 Samoa Islands earthquake and tsunami disaster. Multiple logistic regression analysis of survey data was used to examine the association between evacuation and various household factors. Findings show that increases in distance to shoreline were associated with a slightly decreased likelihood of evacuation, whereas households reporting higher income had an increased probability of evacuation. The response in American Samoa was an effective one, with only 34 fatalities in a tsunami that reached shore in as little as 15 minutes. Consequently, future research should implement more qualitative study designs to identify event and cultural specific determinants of household evacuation behaviour to local tsunamis.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/disa.12170","usgsCitation":"Apatu, E.J., Gregg, C.E., Wood, N.J., and Wang, L., 2016, Household evacuation characteristics in American Samoa during the 2009 Samoa Islands tsunami: Disasters, v. 40, no. 4, p. 779-798, https://doi.org/10.1111/disa.12170.","productDescription":"10 p.","startPage":"779","endPage":"798","ipdsId":"IP-052408","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":329464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-05","publicationStatus":"PW","scienceBaseUri":"57fe679ce4b0824b2d143707","contributors":{"authors":[{"text":"Apatu, Emma J. I.","contributorId":175197,"corporation":false,"usgs":false,"family":"Apatu","given":"Emma","email":"","middleInitial":"J. I.","affiliations":[{"id":24762,"text":"University of North Florida","active":true,"usgs":false}],"preferred":false,"id":650398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gregg, Chris E.","contributorId":175198,"corporation":false,"usgs":false,"family":"Gregg","given":"Chris","email":"","middleInitial":"E.","affiliations":[{"id":27535,"text":"East Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":650399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":650397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Liang","contributorId":175199,"corporation":false,"usgs":false,"family":"Wang","given":"Liang","email":"","affiliations":[{"id":27535,"text":"East Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":650400,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182822,"text":"70182822 - 2016 - Far-field pressurization likely caused one of the largest injection induced earthquakes by reactivating a large pre-existing basement fault structure","interactions":[],"lastModifiedDate":"2017-03-01T11:19:44","indexId":"70182822","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Far-field pressurization likely caused one of the largest injection induced earthquakes by reactivating a large pre-existing basement fault structure","docAbstract":"<p><span>The </span><i>M<sub>w</sub></i><span> 5.1 Fairview, Oklahoma, earthquake on 13 February 2016 and its associated seismicity produced the largest moment release in the central and eastern United States since the 2011 </span><i>M<sub>w</sub></i><span> 5.7 Prague, Oklahoma, earthquake sequence and is one of the largest earthquakes potentially linked to wastewater injection. This energetic sequence has produced five earthquakes with </span><i>M<sub>w</sub></i><span> 4.4 or larger. Almost all of these earthquakes occur in Precambrian basement on a partially unmapped 14 km long fault. Regional injection into the Arbuckle Group increased approximately sevenfold in the 36 months prior to the start of the sequence (January 2015). We suggest far-field pressurization from clustered, high-rate wells greater than 12 km from this sequence induced these earthquakes. As compared to the Fairview sequence, seismicity is diffuse near high-rate wells, where pressure changes are expected to be largest. This points to the critical role that preexisting faults play in the occurrence of large induced earthquakes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2016GL070861","usgsCitation":"Yeck, W.L., Weingarten, M., Benz, H.M., McNamara, D.E., Bergman, E., Herrmann, R., Rubinstein, J.L., and Earle, P.S., 2016, Far-field pressurization likely caused one of the largest injection induced earthquakes by reactivating a large pre-existing basement fault structure: Geophysical Research Letters, v. 43, no. 19, p. 10,198-10,207, https://doi.org/10.1002/2016GL070861.","productDescription":"10 p. ","startPage":"10,198","endPage":"10,207","ipdsId":"IP-079896","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":336735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"19","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baf9","contributors":{"authors":[{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weingarten, Matthew","contributorId":138656,"corporation":false,"usgs":false,"family":"Weingarten","given":"Matthew","email":"","affiliations":[{"id":12481,"text":"Department of Geological Sciences, University of Colorado, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":673898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bergman, E.","contributorId":184179,"corporation":false,"usgs":false,"family":"Bergman","given":"E.","email":"","affiliations":[],"preferred":false,"id":673901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herrmann, R.B","contributorId":184256,"corporation":false,"usgs":false,"family":"Herrmann","given":"R.B","email":"","affiliations":[],"preferred":false,"id":673902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rubinstein, Justin L. 0000-0003-1274-6785 jrubinstein@usgs.gov","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":2404,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","email":"jrubinstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":673903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673904,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70176846,"text":"70176846 - 2016 - Atmospheric inputs of organic matter to a forested watershed: Variations from storm to storm over the seasons","interactions":[],"lastModifiedDate":"2016-10-21T13:07:56","indexId":"70176846","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":924,"text":"Atmospheric Environment","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric inputs of organic matter to a forested watershed: Variations from storm to storm over the seasons","docAbstract":"<p><span>The objectives of this study were to determine the quantity and chemical composition of precipitation inputs of dissolved organic carbon (DOC) to a forested watershed; and to characterize the associated temporal variability. We sampled most precipitation that occurred from May 2012 through August 2013&nbsp;at the Susquehanna Shale Hills Critical Zone Observatory (Pennsylvania, USA). Sub-event precipitation samples (159) were collected sequentially during 90 events; covering various types of synoptic meteorological conditions in all climatic seasons. Precipitation DOC concentrations and rates of wet atmospheric DOC deposition were highly variable from storm to storm, ranging from 0.3 to 5.6&nbsp;mg&nbsp;C&nbsp;L</span><sup>−1</sup><span> and from 0.5 to 32.8&nbsp;mg&nbsp;C&nbsp;m</span><sup>−2</sup><span>&nbsp;h</span><sup>−1</sup><span>, respectively. Seasonally, storms in spring and summer had higher concentrations of DOC and more optically active organic matter than in winter. Higher DOC concentrations resulted from weather types that favor air advection, where cold frontal systems, on average, delivered more than warm/stationary fronts and northeasters. A mixed modeling statistical approach revealed that factors related to storm properties, emission sources, and to the chemical composition of the atmosphere could explain more than 60% of the storm to storm variability in DOC concentrations. This study provided observations on changes in dissolved organic matter that can be useful in modeling of atmospheric oxidative chemistry, exploring relationships between organics and other elements of precipitation chemistry, and in considering temporal changes in ecosystem nutrient balances and microbial activity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.atmosenv.2016.10.002","usgsCitation":"Iavorivska, L., Boyer, E.W., Miller, M.P., Brown, M.G., Vasilopoulos, T., Fuentes, J.D., and Duffy, C.J., 2016, Atmospheric inputs of organic matter to a forested watershed: Variations from storm to storm over the seasons: Atmospheric Environment, v. 147, p. 284-295, https://doi.org/10.1016/j.atmosenv.2016.10.002.","productDescription":"12 p.","startPage":"284","endPage":"295","ipdsId":"IP-077852","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":470512,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.atmosenv.2016.10.002","text":"Publisher Index Page"},{"id":329417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"147","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe679be4b0824b2d1436fd","contributors":{"authors":[{"text":"Iavorivska, Lidiia","contributorId":175230,"corporation":false,"usgs":false,"family":"Iavorivska","given":"Lidiia","email":"","affiliations":[],"preferred":false,"id":650525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":650526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Michael G.","contributorId":175231,"corporation":false,"usgs":false,"family":"Brown","given":"Michael","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":650527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vasilopoulos, Terrie","contributorId":175245,"corporation":false,"usgs":false,"family":"Vasilopoulos","given":"Terrie","email":"","affiliations":[],"preferred":false,"id":650528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuentes, Jose D.","contributorId":97231,"corporation":false,"usgs":true,"family":"Fuentes","given":"Jose","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":650529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duffy, Christopher J.","contributorId":175246,"corporation":false,"usgs":false,"family":"Duffy","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":650530,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70200351,"text":"70200351 - 2016 - Automatic delineation of seacliff limits using lidar-derived high-resolution DEMs in southern California","interactions":[],"lastModifiedDate":"2018-12-13T09:14:06","indexId":"70200351","displayToPublicDate":"2016-10-10T14:57:03","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Automatic delineation of seacliff limits using lidar-derived high-resolution DEMs in southern California","docAbstract":"<p><span>Seacliff erosion is a serious hazard with implications for coastal management and is often estimated using successive hand-digitized cliff tops or bases (toe) to assess cliff retreat. Even if efforts are made to standardize manual digitizing and eliminate subjectivity, the delineation of cliffs is time-consuming and depends on the analyst's interpretation. An automatic procedure is proposed to extract cliff edges from high-resolution lidar-derived bare-earth digital elevation models, generalized coastal shoreline vectors, and approximate measurements of distance between the shoreline and the cliff top. The method generates orthogonal transects and profiles with a minimum spacing equal to the digital elevation model resolution. The method also extracts the xyz coordinates for each profile for the cliff top and toe, as well as second major inflections along the profile. Over 75% of the automated cliff top points and 78% of the toe automated points are within 95% confidence interval of the hand-digitized top and toe lines, and over 79% of the digitized top points and 84% of the digitized toe points are within the 95% confidence interval of the automated top and toe lines along a stretch of coast in Del Mar, California. Outlier errors were caused by either the failure to remove all vegetation from the bare-earth digital elevation model or errors of interpretation. The automatic method was further applied between Point Conception and Los Angeles Harbor, California. This automatic method is repeatable, takes advantage of detailed topographic information within high-resolution digital elevation models, and is more efficient than hand-digitizing.</span></p>","language":"English","publisher":"Coastal Education & Research Foundation","doi":"10.2112/SI76-014","usgsCitation":"Palaseanu-Lovejoy, M., Danielson, J.J., Thatcher, C.A., Foxgrover, A.C., Barnard, P., Brock, J., and Young, A., 2016, Automatic delineation of seacliff limits using lidar-derived high-resolution DEMs in southern California: Journal of Coastal Research, no. Special Issue 76, p. 162-173, https://doi.org/10.2112/SI76-014.","productDescription":"12 p.","startPage":"162","endPage":"173","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"links":[{"id":462063,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.2112/SI76-014","text":"External Repository"},{"id":358353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","issue":"Special Issue 76","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10ada1e4b034bf6a7e78e5","contributors":{"authors":[{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118 mpal@usgs.gov","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":3639,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","email":"mpal@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":748458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":748459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thatcher, Cindy A. 0000-0003-0331-071X thatcherc@usgs.gov","orcid":"https://orcid.org/0000-0003-0331-071X","contributorId":2868,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy","email":"thatcherc@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":748460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":748461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":748462,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":748463,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Adam","contributorId":177578,"corporation":false,"usgs":false,"family":"Young","given":"Adam","affiliations":[],"preferred":false,"id":748464,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70184237,"text":"70184237 - 2016 - Evaluating land cover influences on model uncertainties—A case study of cropland carbon dynamics in the Mid-Continent Intensive Campaign region","interactions":[],"lastModifiedDate":"2017-05-09T12:44:23","indexId":"70184237","displayToPublicDate":"2016-10-10T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating land cover influences on model uncertainties—A case study of cropland carbon dynamics in the Mid-Continent Intensive Campaign region","docAbstract":"<p><span>Quantifying spatial and temporal patterns of carbon sources and sinks and their uncertainties across agriculture-dominated areas remains challenging for understanding regional carbon cycles. Characteristics of local land cover inputs could impact the regional carbon estimates but the effect has not been fully evaluated in the past. Within the North American Carbon Program Mid-Continent Intensive (MCI) Campaign, three models were developed to estimate carbon fluxes on croplands: an inventory-based model, the Environmental Policy Integrated Climate (EPIC) model, and the General Ensemble biogeochemical Modeling System (GEMS) model. They all provided estimates of three major carbon fluxes on cropland: net primary production (NPP), net ecosystem production (NEP), and soil organic carbon (SOC) change. Using data mining and spatial statistics, we studied the spatial distribution of the carbon fluxes uncertainties and the relationships between the uncertainties and the land cover characteristics. Results indicated that uncertainties for all three carbon fluxes were not randomly distributed, but instead formed multiple clusters within the MCI region. We investigated the impacts of three land cover characteristics on the fluxes uncertainties: cropland percentage, cropland richness and cropland diversity. The results indicated that cropland percentage significantly influenced the uncertainties of NPP and NEP, but not on the uncertainties of SOC change. Greater uncertainties of NPP and NEP were found in counties with small cropland percentage than the counties with large cropland percentage. Cropland species richness and diversity also showed negative correlations with the model uncertainties. Our study demonstrated that the land cover characteristics contributed to the uncertainties of regional carbon fluxes estimates. The approaches we used in this study can be applied to other ecosystem models to identify the areas with high uncertainties and where models can be improved to reduce overall uncertainties for regional carbon flux estimates.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolmodel.2016.07.002","usgsCitation":"Li, Z., Liu, S., Zhang, X., West, T.O., Ogle, S.M., and Zhou, N., 2016, Evaluating land cover influences on model uncertainties—A case study of cropland carbon dynamics in the Mid-Continent Intensive Campaign region: Ecological Modelling, v. 337, p. 176-187, https://doi.org/10.1016/j.ecolmodel.2016.07.002.","productDescription":"12 p.","startPage":"176","endPage":"187","ipdsId":"IP-076132","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70176601,"text":"sim3365 - 2016 - Water-level altitudes 2016 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973–2015 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","interactions":[],"lastModifiedDate":"2017-05-04T10:45:47","indexId":"sim3365","displayToPublicDate":"2016-10-07T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3365","title":"Water-level altitudes 2016 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973–2015 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas","docAbstract":"<p>Most of the land-surface subsidence in the Houston-Galveston region, Texas, has occurred as a direct result of groundwater withdrawals for municipal supply, commercial and industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers, thereby causing compaction of the aquifer sediments, mostly in the fine-grained silt and clay layers. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and measured cumulative compaction of subsurface sediments in the Chicot and Evangeline aquifers in the Houston-Galveston region. The report contains regional-scale maps depicting approximate 2016 water-level altitudes (represented by measurements made during December 2015–March 2016) for the Chicot, Evangeline, and Jasper aquifers; maps depicting 1-year (2015–16) water-level changes for each aquifer; maps depicting approximate contoured 5-year (2011–16) water-level changes for each aquifer; maps depicting approximate contoured long-term (1990–2016 and 1977–2016) water-level changes for the Chicot and Evangeline aquifers; a map depicting approximate contoured long-term (2000–16) water-level changes for the Jasper aquifer; a map depicting locations of borehole-extensometer sites; and graphs depicting measured long-term cumulative compaction of subsurface sediments at the extensometers during 1973–2015. Tables listing the water-level data used to construct each water-level map for each aquifer and the measured long-term cumulative compaction data for each extensometer site are included. Graphs depicting water-level measurement data also are included; these graphs can be used to approximate changes in effective stress caused by changes in groundwater withdrawal from the Chicot and Evangeline aquifers.</p><p>In 2016, water-level-altitude contours for the Chicot aquifer ranged from 200 feet (ft) below the vertical datum (North American Vertical Datum of 1988; hereinafter, datum) in a localized area in northwestern Harris County to 200 ft above datum in west-central Montgomery County. Water-level changes during 2015–16 in the Chicot aquifer ranged from a 39-ft decline to a 26-ft rise. Contoured 5-year and long-term changes in water-level altitudes of the Chicot aquifer ranged from a 30-ft decline to a 20-ft rise (2011–16), from a 140-ft decline to a 160-ft rise (1990–2016), and from a 120-ft decline to a 200-ft rise (1977–2016). In 2016, water-level-altitude contours for the Evangeline aquifer ranged from 250 ft below datum in three separate areas in south-central Montgomery County and extending into north-central Harris County, in west-central Harris County, and in southwestern Harris County to 200 ft above datum in southeastern Grimes and northwestern Montgomery Counties. Water-level changes during 2015–16 in the Evangeline aquifer ranged from a 65-ft decline to a 61-ft rise. Contoured 5-year and long-term changes in water-level altitudes of the Evangeline aquifer ranged from a 60-ft decline to a 40-ft rise (2011–16), from a 160-ft decline to a 160-ft rise (1990–2016), and from a 320-ft decline to a 240-ft rise (1977–2016). In 2016, water-level-altitude contours for the Jasper aquifer ranged from 200 ft below datum in south-central Montgomery County extending into north-central Harris County to 250 ft above datum in northwestern Montgomery County and extending into eastern Grimes County and southwestern Walker County. Water-level changes during 2015–16 in the Jasper aquifer ranged from a 38-ft decline to a 51-ft rise. Contoured 5-year and long-term changes in water-level altitudes of the Jasper aquifer ranged from a 60-ft decline to a 40-ft rise (2011–16) and from a 220-ft decline to a 20-ft decline (2000–16).</p><p>Compaction of subsurface sediments (mostly in the fine-grained silt and clay layers) in the Chicot and Evangeline aquifers was recorded continuously by using 13 extensometers at 11 sites that were either activated or installed between 1973 and 1980. During the period of record beginning in 1973 (or later depending on activation or installation date) and ending in December 2015, measured cumulative compaction at the 13 extensometers ranged from 0.095 ft at the Texas City-Moses Lake extensometer to 3.666 ft at the Addicks extensometer. From January through December 2015, the Northeast, Southwest, Addicks, Johnson Space Center, and Clear Lake (deep) extensometers recorded net decreases in land-surface elevation, but the Lake Houston, East End, Texas City-Moses Lake, Baytown C–1 (shallow), Baytown C–2 (deep), Seabrook, Clear Lake (shallow), and Pasadena extensometers recorded net increases in land-surface elevation. For the 11 extensometer sites during the selected years 1988, 1998, 2008, 2012, and 2015, the smallest effective stress (20.12 pounds per square inch [psi]) was estimated at the Texas City-Moses Lake extensometer site and was produced by a measured water level of 46.42 ft below land-surface datum (blsd) in January 2008. The corresponding net compaction during 2007 at this site was 0.001 ft. The largest effective stress (174.86 psi) was estimated at the Addicks extensometer site and was produced by a measured water level of 403.38 ft blsd in January 1998. The corresponding net compaction at the Addicks site was 0.067 ft in 1997.</p><p>The 2011 drought caused water-level declines in the aquifers that were documented by the water-level-measurement data collected in January 2012. During the 2011 drought, the 13 extensometers recorded varying amounts of compaction that ranged from a net compaction value of 0.002 ft recorded by the Texas City-Moses Lake extensometer to a net compaction value of 0.192 ft recorded by the Pasadena extensometer. Water-level data for 1988, 1998, 2008, 2012, and 2015 and the corresponding net compaction values recorded by the extensometers for 1987, 1997, 2007, 2011, and 2014 were used to illustrate the cause and effect relations between changes in water level caused by groundwater withdrawals and resulting changes in effective stress. Changes in effective stress are related to changes in land-surface elevations caused by compaction of the fine-grained sediments composing the Chicot and Evangeline aquifers.</p><p>The rate of compaction varies from site to site because of differences in rates of groundwater withdrawal in the areas adjacent to each extensometer site; differences among sites in the ratios of sand, silt, and clay and their corresponding compressibilities; and previously established preconsolidation heads. It is not appropriate, therefore, to extrapolate or infer a rate of compaction for an adjacent area on the basis of the rate of compaction recorded by proximal extensometers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3365","collaboration":"Prepared in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District","usgsCitation":"Kasmarek, M.C., Ramage, J.K., and Johnson, M.R., 2016, Water-level altitudes 2016 and water-level changes in the Chicot, Evangeline, and Jasper aquifers and compaction 1973–2015 in the Chicot and Evangeline aquifers, Houston-Galveston region, Texas: U.S. Geological Survey Scientific Investigations Map 3365, pamphlet, 16 sheets, scale 1:100,000, https://dx.doi.org/10.3133/sim3365.","productDescription":"Report: ix, 39 p.; 16 Sheets: 21.99 x 22.00 inches or smaller; Tables 1-5; Appendix 1; Datasets; Read Me","numberOfPages":"53","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-072338","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":329386,"rank":7,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3365/ReadMe_2.txt","size":"2.46 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3365"},{"id":329382,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3365/sheets","text":"Sheets 1-16","description":"SIM 3365"},{"id":329381,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3365/tables","text":"Tables 1-5","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 3365"},{"id":329375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3365/coverthb.jpg"},{"id":329385,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/sim/3365/datasets","text":"Datasets (Revised May 2017)","description":"SIM 3365"},{"id":329377,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sim/3365/appendix1","text":"Appendix 1","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3365"},{"id":329376,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3365/sim3365_pamphlet.pdf","text":"Report ","size":"5.32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3365"}],"country":"United States","state":"Texas","city":"Galveston, Houston","otherGeospatial":"Chicot Aquifer, Evangeline Aquifer, Jasper Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.3505859375,\n              29.554345125748267\n            ],\n            [\n              -94.52636718749999,\n              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Changes</li><li>Compaction of Subsurface Sediments in the Chicot and Evangeline Aquifers</li><li>Changes in Effective Stress Caused by Groundwater Withdrawals from the Chicot and Evangeline Aquifers</li><li>Data Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-10-07","noUsgsAuthors":false,"publicationDate":"2016-10-07","publicationStatus":"PW","scienceBaseUri":"57f7e9fde4b0bc0bec09d847","contributors":{"authors":[{"text":"Kasmarek, Mark C. 0000-0003-2808-2506 mckasmar@usgs.gov","orcid":"https://orcid.org/0000-0003-2808-2506","contributorId":1968,"corporation":false,"usgs":true,"family":"Kasmarek","given":"Mark","email":"mckasmar@usgs.gov","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramage, Jason K. 0000-0001-8014-2874 jkramage@usgs.gov","orcid":"https://orcid.org/0000-0001-8014-2874","contributorId":3856,"corporation":false,"usgs":true,"family":"Ramage","given":"Jason","email":"jkramage@usgs.gov","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650478,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175959,"text":"sir20165123 - 2016 - Effects of water-supply reservoirs on streamflow in Massachusetts","interactions":[],"lastModifiedDate":"2021-02-09T18:07:43.492574","indexId":"sir20165123","displayToPublicDate":"2016-10-06T08:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5123","title":"Effects of water-supply reservoirs on streamflow in Massachusetts","docAbstract":"<p>State and local water-resource managers need modeling tools to help them manage and protect water-supply resources for both human consumption and ecological needs. The U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection, has developed a decision-support tool to estimate the effects of reservoirs on natural streamflow. The Massachusetts Reservoir Simulation Tool is a model that simulates the daily water balance of a reservoir. The reservoir simulation tool provides estimates of daily outflows from reservoirs and compares the frequency, duration, and magnitude of the volume of outflows from reservoirs with estimates of the unaltered streamflow that would occur if no dam were present. This tool will help environmental managers understand the complex interactions and tradeoffs between water withdrawals, reservoir operational practices, and reservoir outflows needed for aquatic habitats.</p><p>A sensitivity analysis of the daily water balance equation was performed to identify physical and operational features of reservoirs that could have the greatest effect on reservoir outflows. For the purpose of this report, uncontrolled releases of water (spills or spillage) over the reservoir spillway were considered to be a proxy for reservoir outflows directly below the dam. The ratio of average withdrawals to the average inflows had the largest effect on spillage patterns, with the highest withdrawals leading to the lowest spillage. The size of the surface area relative to the drainage area of the reservoir also had an effect on spillage; reservoirs with large surface areas have high evaporation rates during the summer, which can contribute to frequent and long periods without spillage, even in the absence of water withdrawals. Other reservoir characteristics, such as variability of inflows, groundwater interactions, and seasonal demand patterns, had low to moderate effects on the frequency, duration, and magnitude of spillage. The reservoir simulation tool was used to simulate 35 single- and multiple-reservoir systems in Massachusetts over a 44-year period (water years 1961 to 2004) under two water-use scenarios. The no-pumping scenario assumes no water withdrawal pumping, and the pumping scenario incorporates average annual pumping rates from 2000 to 2004. By comparing the results of the two scenarios, the total streamflow alteration can be parsed into the portion of streamflow alteration caused by the presence of a reservoir and the additional streamflow alteration caused by the level of water use of the system.</p><p>For each reservoir system, the following metrics were computed to characterize the frequency, duration, and magnitude of reservoir outflow volumes compared with unaltered streamflow conditions: (1) the median number of days per year in which the reservoir did not spill, (2) the median duration of the longest consecutive period of no-spill days per year, and (3) the lowest annual flow duration exceedance probability at which the outflows are significantly different from estimated unaltered streamflow at the 95-percent confidence level. Most reservoirs in the study do not spill during the summer months even under no-pumping conditions. The median number of days during which there was no spillage was less than 365 for all reservoirs in the study, indicating that, even under reported pumping conditions, the reservoirs refill to full volume and spill at least once during nondrought years, typically in the spring.</p><p>Thirteen multiple-reservoir systems consisting of two or three hydrologically connected reservoirs were included in the study. Because operating rules used to manage multiple-reservoir systems are not available, these systems were simulated under two pumping scenarios, one in which water transfers between reservoirs are minimal and one in which reservoirs continually transferred water to intermediate or terminal reservoirs. These two scenarios provided upper and lower estimates of spillage under average pumping conditions from 2000 to 2004.</p><p>For sites with insufficient data to simulate daily water balances, a proxy method to estimate the three spillage metrics was developed. A series of 4,000 Monte Carlo simulations of the reservoir water balance were run. In each simulation, streamflow, physical reservoir characteristics, and daily climate inputs were randomly varied. Tobit regression equations that quantify the relation between streamflow alteration and physical and operational characteristics of reservoirs were developed from the results of the Monte Carlo simulations and can be used to estimate each of the three spillage metrics using only the withdrawal ratio and the ratio of the surface area to the drainage area, which are available statewide for all reservoirs.</p><p>A graphical user-interface for the Massachusetts Reservoir Simulation Tool was developed in a Microsoft Access environment. The simulation tool contains information for 70 reservoirs in Massachusetts and allows for simulation of additional scenarios than the ones considered in this report, including controlled releases, dam seepage and leakage, demand management plans, and alternative water withdrawal and transfer rules.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165123","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Levin, S.B., 2016, Effects of water-supply reservoirs on streamflow in Massachusetts: U.S. Geological Survey Scientific Investigations Report 2016–5123, 35 p., https://dx.doi.org/10.3133/sir20165123.","productDescription":"Report: vii, 35 p.; Software or Model Page","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067115","costCenters":[{"id":376,"text":"Massachusetts Water Science 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 \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br> U.S. Geological Survey<br> 10 Bearfoot Road<br> Northborough, MA 01532</p><p>Or visit our Web site at:<br> <a href=\"http://newengland.water.usgs.gov\" data-mce-href=\"http://newengland.water.usgs.gov\">http://newengland.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Reservoir Simulation Tool</li><li>Spillage Metrics</li><li>Sensitivity of Spillage to Reservoir Characteristics</li><li>Application of the Reservoir Model for Selected Systems</li><li>Estimating Streamflow Alteration at Previously Unstudied Reservoirs</li><li>Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-10-06","noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"57f7c089e4b0bc0bec09c7cf","contributors":{"authors":[{"text":"Levin, Sara B. 0000-0002-2448-3129 slevin@usgs.gov","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":1870,"corporation":false,"usgs":true,"family":"Levin","given":"Sara","email":"slevin@usgs.gov","middleInitial":"B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646705,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175960,"text":"ofr20161136 - 2016 - Massachusetts reservoir simulation tool—User’s manual","interactions":[],"lastModifiedDate":"2018-02-15T15:39:29","indexId":"ofr20161136","displayToPublicDate":"2016-10-06T08:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1136","title":"Massachusetts reservoir simulation tool—User’s manual","docAbstract":"<h1>Introduction</h1><p>The U.S. Geological Survey developed the Massachusetts Reservoir Simulation Tool to examine the effects of reservoirs on natural streamflows in Massachusetts by simulating the daily water balance of reservoirs. The simulation tool was developed to assist environmental managers to better manage water withdrawals in reservoirs and to preserve downstream aquatic habitats.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161136","usgsCitation":"Levin, S.B., 2016, Massachusetts reservoir simulation tool—User’s manual: U.S. Geological Survey Open-File Report 2016–1136, 22 p., https://dx.doi.org/10.3133/ofr20161136.","productDescription":"Report: iv, 22 p.; Software or Model Page","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073794","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":329305,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20165123","text":"Scientific Investigations Report 2016–5123","description":"Scientific Investigations Report 2016–5123","linkHelpText":"- Effects of Water-Supply Reservoirs on Streamflow in Massachusetts"},{"id":329300,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1136/ofr20161136.pdf","text":"Report","size":"4.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1136"},{"id":329306,"rank":4,"type":{"id":4,"text":"Application Site"},"url":"https://newengland.water.usgs.gov/dev/sl1/rst/ ","text":"Software or Model Page","description":"Software or Model Page","linkHelpText":"- The Massachusetts Reservoir Simulation Tool"},{"id":329299,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1136/coverthb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Massachusetts Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.116667,\n              42.311111\n            ],\n            [\n              -72.116667,\n              42.270833\n            ],\n            [\n              -72.045833,\n              42.270833\n            ],\n            [\n              -72.045833,\n              42.311111\n            ],\n            [\n              -72.116667,\n              42.311111\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, New England Water Science Center<br> U.S. Geological Survey<br> 10 Bearfoot Road<br> Northborough, MA 01532</p><p>Or visit our Web site at:<br> <a href=\"http://newengland.water.usgs.gov/\" data-mce-href=\"http://newengland.water.usgs.gov/\">http://newengland.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Model Overview and System Requirements</li><li>Simulating a Single-Reservoir System</li><li>Simulating a Multiple-Reservoir System</li><li>Adding a New Reservoir&nbsp;</li><li>Estimating Groundwater Parameters</li><li>Deleting a Reservoir</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-10-06","noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"57f7c089e4b0bc0bec09c7cd","contributors":{"authors":[{"text":"Levin, Sara B. 0000-0002-2448-3129 slevin@usgs.gov","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":1870,"corporation":false,"usgs":true,"family":"Levin","given":"Sara","email":"slevin@usgs.gov","middleInitial":"B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646706,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190291,"text":"70190291 - 2016 - Submarine glacial landforms on the Bay of Fundy–northern Gulf of Maine continental shelf","interactions":[],"lastModifiedDate":"2017-08-23T17:13:07","indexId":"70190291","displayToPublicDate":"2016-10-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1790,"text":"Geological Society, London, Memoirs","active":true,"publicationSubtype":{"id":10}},"title":"Submarine glacial landforms on the Bay of Fundy–northern Gulf of Maine continental shelf","docAbstract":"<p id=\"p-1\">The Bay of Fundy–northern Gulf of Maine region surrounds the southern part of Nova Scotia, encompassing, from west to east, the Bay of Fundy, Grand Manan Basin, German Bank, Browns Bank, Northeast Channel and northeastern Georges Bank (Fig. 1a, b). During the last glacial maximum (<i>c.</i><span>&nbsp;</span>24–20<span>&nbsp;</span><sup>14</sup>C ka BP), the SE margin of the Laurentide Ice Sheet (LIS) occupied the study area, the rest of the Gulf of Maine and the continental Scotian Shelf off Atlantic Canada (see<span>&nbsp;</span><span class=\"xref-bibr\">Dyke<span>&nbsp;</span><i>et al.</i><span>&nbsp;</span>2002</span>, fig. 1;<span>&nbsp;</span><span class=\"xref-bibr\">Shaw<span>&nbsp;</span><i>et al.</i><span>&nbsp;</span>2006</span>, fig. 8;<span>&nbsp;</span><span class=\"xref-bibr\">Hundert &amp; Piper 2008</span>, fig. 16). Early mapping of the glaciated region on the Scotian Shelf using side-scan sonar imagery and seismic-reflection profiles revealed topographic features interpreted to be recessional moraines indicative of retreat of the LIS (<span class=\"xref-bibr\">King<span>&nbsp;</span><i>et al.</i><span>&nbsp;</span>1972</span>;<span>&nbsp;</span><span class=\"xref-bibr\">King 1996</span>). Subsequently, multibeam sonar seafloor mapping of local-scale glacial landforms on the inner Scotian Shelf off Halifax, Nova Scotia (Fig. 1b) provided further information on the dynamics of the advance and retreat of the ice sheet (<span class=\"xref-bibr\">Loncarevic<span>&nbsp;</span><i>et al.</i>1994</span>). Interpretation of seismic-reflection profiles across Georges Bank revealed that the surficial sediment is a veneer of glacial debris transported to Georges Bank by the LIS during the late Pleistocene from continental areas to the north (<span class=\"xref-bibr\">Shepard<span>&nbsp;</span><i>et al.</i><span>&nbsp;</span>1934</span>;<span>&nbsp;</span><span class=\"xref-bibr\">Knott &amp; Hoskins 1968</span>;<span>&nbsp;</span><span class=\"xref-bibr\">Schlee 1973</span>;<span>&nbsp;</span><span class=\"xref-bibr\">Twichell<span>&nbsp;</span><i>et al.</i><span>&nbsp;</span>1987</span>;<span>&nbsp;</span><span class=\"xref-bibr\">Fader<span>&nbsp;</span><i>et al.</i><span>&nbsp;</span>1988</span>). Recent high-resolution multibeam sonar surveys of German Bank and the Bay of Fundy mapped a complex of ice-advance and ice-retreat features attributed to the activity of the LIS (<span class=\"xref-bibr\">Todd<span>&nbsp;</span><i>et al.</i><span>&nbsp;</span>2007</span>;<span>&nbsp;</span><span class=\"xref-bibr\">Todd &amp; Shaw 2012</span>).</p><div id=\"F1\" class=\"fig pos-float  odd\"><br data-mce-bogus=\"1\"></div>","language":"English","publisher":"Geologic Society of London","doi":"10.1144/M46.154","usgsCitation":"Todd, B., Shaw, J., and Valentine, P.C., 2016, Submarine glacial landforms on the Bay of Fundy–northern Gulf of Maine continental shelf: Geological Society, London, Memoirs, v. 46, p. 429-436, https://doi.org/10.1144/M46.154.","productDescription":"8 p.","startPage":"429","endPage":"436","ipdsId":"IP-070039","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470516,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/8613","text":"External Repository"},{"id":345085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-30","publicationStatus":"PW","scienceBaseUri":"599e9449e4b04935557fe9d0","contributors":{"authors":[{"text":"Todd, B.J.","contributorId":120970,"corporation":false,"usgs":false,"family":"Todd","given":"B.J.","email":"","affiliations":[],"preferred":false,"id":708330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaw, J.","contributorId":195825,"corporation":false,"usgs":false,"family":"Shaw","given":"J.","email":"","affiliations":[],"preferred":false,"id":708331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valentine, Page C. 0000-0002-0485-6266 pvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-6266","contributorId":1947,"corporation":false,"usgs":true,"family":"Valentine","given":"Page","email":"pvalentine@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708329,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70200017,"text":"70200017 - 2016 - Helminth community structure in two species of arctic-breeding waterfowl","interactions":[],"lastModifiedDate":"2018-10-10T15:27:00","indexId":"70200017","displayToPublicDate":"2016-10-05T15:14:01","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Helminth community structure in two species of arctic-breeding waterfowl","docAbstract":"<p><span>Climate change is occurring rapidly at high latitudes, and subsequent changes in parasite communities may have implications for hosts including wildlife and humans. Waterfowl, in particular, harbor numerous parasites and may facilitate parasite movement across broad geographic areas due to migratory movements. However, little is known about helminth community structure of waterfowl at northern latitudes. We investigated the helminth communities of two avian herbivores that breed at high latitudes, Pacific black brant (</span><i>Branta bernicla nigricans</i><span>), and greater white-fronted geese (</span><i>Anser albifrons</i><span>), to examine effects of species, geographic area, age, and sex on helminth species richness, aggregation, prevalence, and intensity. We collected 83 and 58 black brant and white-fronted geese, respectively, from Arctic and Subarctic Alaska July-August 2014. We identified 10 known helminth species (</span><i>Amidostomum anseris</i><span>,&nbsp;</span><i>Amidostomum spatulatum</i><span>,&nbsp;</span><i>Drepanidotaenia lanceolata</i><span>,&nbsp;</span><i>Epomidiostomum crami</i><span>,&nbsp;</span><i>Heterakis dispar</i><span>,&nbsp;</span><i>Notocotylus attenuatus</i><span>,&nbsp;</span><i>Tetrameres striata</i><span>,&nbsp;</span><i>Trichostrongylus tenuis</i><span>,&nbsp;</span><i>Tschertkovilepis setigera</i><span>, and&nbsp;</span><i>Wardoides nyrocae</i><span>) and 1 previously undescribed trematode. All geese sampled were infected with at least one helminth species. All helminth species identified were present in both age classes and species, providing evidence of transmission at high latitudes and suggesting broad host susceptibility. Also, all but one helminth species were present at both sites, suggesting conditions are suitable for transmission across a large latitudinal/environmental gradient. Our study provides important baseline information on avian parasites that can be used to evaluate the effects of a changing climate on host-parasite distributions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2016.09.002","usgsCitation":"Amundson, C.L., Traub, N., Smith-Herron, A., and Flint, P.L., 2016, Helminth community structure in two species of arctic-breeding waterfowl: International Journal for Parasitology: Parasites and Wildlife, v. 5, no. 3, p. 263-272, https://doi.org/10.1016/j.ijppaw.2016.09.002.","productDescription":"10 p.","startPage":"263","endPage":"272","ipdsId":"IP-074824","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":462065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2016.09.002","text":"Publisher Index Page"},{"id":358253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"5","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc03282e4b0fc368eb53a62","contributors":{"authors":[{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":747820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traub, N.J.","contributorId":208600,"corporation":false,"usgs":false,"family":"Traub","given":"N.J.","email":"","affiliations":[],"preferred":false,"id":747821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith-Herron, A.J.","contributorId":208601,"corporation":false,"usgs":false,"family":"Smith-Herron","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":747822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":747823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176429,"text":"ofr20161157 - 2016 - Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York","interactions":[],"lastModifiedDate":"2016-10-05T16:54:35","indexId":"ofr20161157","displayToPublicDate":"2016-10-05T15:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1157","title":"Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York","docAbstract":"<p>During 2015, the U.S. Geological Survey, in cooperation with the City of Ithaca, New York, and the New York State Department of State, conducted a bathymetric survey of the lower Sixmile Creek reservoir in Tompkins County, New York. A former water-supply reservoir for the City of Ithaca, the reservoir is no longer a functional component of Ithaca’s water-supply system, having been replaced by a larger reservoir less than a mile upstream in 1911. Excessive sedimentation has substantially reduced the reservoir’s water-storage capacity and made the discharge gate at the base of the 30-foot dam, which creates the reservoir, inoperable. U.S. Geological Survey personnel collected bathymetric data by using an acoustic Doppler current profiler. Across more than half of the approximately 14-acre reservoir, depths were manually measured because of interference from aquatic vegetation with the acoustic Doppler current profiler. City of Ithaca personnel created a bottom-elevation surface from these depth data. A second surface was created from depths that were manually measured by City of Ithaca personnel during 1938. Surface areas and storage capacities were computed at 1-foot increments of elevation for both bathymetric surveys. The results indicate that the current storage capacity of the reservoir at its normal water-surface elevation is about 84 acre-feet and that sediment accumulated between 1938 and 2015 has decreased the reservoir’s capacity by about 68 acre-feet. This sediment load is attributed to annual inputs from the watershed above the reservoir, as well as from an episodic landslide that filled a large part of the reservoir along its northern edge in 1949.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161157","collaboration":"Prepared in cooperation with the City of Ithaca, New York, and the New York State Department of State","usgsCitation":"Wernly, J.F., Zajd, H.J., Jr., and Coon, W.F., 2016, Bathymetric survey and estimation of storage capacity of lower Sixmile Creek reservoir, Ithaca, New York: U.S. Geological Survey Open-File Report 2016–1157, 13 p., https://dx.doi.org/10.3133/ofr20161157.","productDescription":"Report: vii, 13 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-074656","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":438539,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G15Z0S","text":"USGS data release","linkHelpText":"Geospatial data set of bathymetric survey of lower Sixmile Creek Reservoir, Ithaca, New York, 2015"},{"id":329057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1157/coverthb.jpg"},{"id":329058,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1157/ofr20161157.pdf","text":"Report","size":"7.89 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1157"},{"id":329059,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7G15Z0S","text":"USGS data release","description":"USGS data release","linkHelpText":"Geospatial Dataset of Bathymetric Survey of Lower Sixmile Creek Reservoir, Ithaca, New York, 2015"}],"country":"United States","state":"New York","city":"Ithaca","otherGeospatial":"Lower Sixmile Creek Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.47645235061646,\n              42.42269621215634\n            ],\n            [\n              -76.47645235061646,\n              42.42519885057981\n            ],\n            [\n              -76.47053003311157,\n              42.42519885057981\n            ],\n            [\n              -76.47053003311157,\n              42.42269621215634\n            ],\n            [\n              -76.47645235061646,\n              42.42269621215634\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, New York Water Science Center <br> U.S. Geological Survey <br> 30 Brown Road <br> Ithaca, NY 14850</p><p>Information requests: <br> (518) 285-5602 <br> or visit our Web site at: <br> <a href=\"http://ny.water.usgs.gov&#10;\" data-mce-href=\"http://ny.water.usgs.gov\">http://ny.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Bathymetric Survey</li><li>Dam and Normal Pool Water-Surface Elevations</li><li>Creation of Bathymetric Surface</li><li>Estimation of Surface Area and Storage Capacity</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2016-10-05","noUsgsAuthors":false,"publicationDate":"2016-10-05","publicationStatus":"PW","scienceBaseUri":"57f7c639e4b0bc0bec09c80a","contributors":{"authors":[{"text":"Wernly, John F. jwernly@usgs.gov","contributorId":174610,"corporation":false,"usgs":true,"family":"Wernly","given":"John F.","email":"jwernly@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zajd hzajd@usgs.gov","contributorId":1085,"corporation":false,"usgs":true,"family":"Zajd","email":"hzajd@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coon, William F. 0000-0002-7007-7797 wcoon@usgs.gov","orcid":"https://orcid.org/0000-0002-7007-7797","contributorId":1765,"corporation":false,"usgs":true,"family":"Coon","given":"William","email":"wcoon@usgs.gov","middleInitial":"F.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648732,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176712,"text":"sir20165138 - 2016 - Delineation of areas contributing groundwater to selected receiving surface water bodies for long-term average hydrologic conditions from 1968 to 1983 for Long Island, New York","interactions":[],"lastModifiedDate":"2016-10-05T16:38:00","indexId":"sir20165138","displayToPublicDate":"2016-10-05T13:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5138","title":"Delineation of areas contributing groundwater to selected receiving surface water bodies for long-term average hydrologic conditions from 1968 to 1983 for Long Island, New York","docAbstract":"<p>To assist resource managers and planners in developing informed strategies to address nitrogen loading to coastal water bodies of Long Island, New York, the U.S. Geological Survey and the New York State Department of Environmental Conservation initiated a program to delineate a comprehensive dataset of groundwater recharge areas (or areas contributing groundwater), travel times, and outflows to streams and saline embayments on Long Island. A four-layer regional three-dimensional finite-difference groundwater-flow model of hydrologic conditions from 1968 to 1983 was used to provide delineations of 48 groundwater watersheds on Long Island. Sixteen particle starting points were evenly spaced within each of the 4,000- by 4,000-foot model cells that receive water-table recharge and tracked using forward particle-tracking analysis modeling software to outflow zones. For each particle, simulated travel times were grouped by age as follows: less than or equal to 10 years, greater than 10 years and less than or equal to 100 years, greater than 100 years and less than or equal to 1,000 years, and greater than 1,000 years; and simulated ending zones were grouped into 48 receiving water bodies, based on the New York State Department of Environmental Conservation Waterbody Inventory/Priority Waterbodies List. Areal delineation of travel time zones and groundwater contributing areas were generated and a table was prepared presenting the sum of groundwater outflow for each area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165138","collaboration":"Prepared in cooperation with the  New York State Department of Environmental Conservation","usgsCitation":"Misut, P.E., and Monti, Jack, Jr., 2016, Delineation of areas contributing groundwater to selected receiving surface water bodies for long-term average hydrologic conditions from 1968 to 1983 for Long Island, New York:U.S. Geological Survey Scientific Investigations Report 2016–5138, 22 p., https://dx.doi.org/10.3133/sir20165138.","productDescription":"Report: iv, 22 p.; Figures: 1-5; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":329253,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5138/coverthb.jpg"},{"id":329257,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7TB151D ","text":"USGS data release","description":"USGS data release ","linkHelpText":"MODFLOW-2005 and MODPATH6 models "},{"id":329254,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5138/sir20165138.pdf","text":"Report","size":"5.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5138"},{"id":329255,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5138/sir20165138_figs1-5.zip","text":"Figures 1-5 ","size":"10.2 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5138","linkHelpText":"- Large-format versions of figures in report"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.25,\n              40.5\n            ],\n            [\n              -73.25,\n              40.9\n            ],\n            [\n              -74.25,\n              40.9\n            ],\n            [\n              -74.25,\n              40.5\n            ],\n            [\n              -73.25,\n              40.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:: dc_ny@usgs.gov\" data-mce-href=\"mailto:: dc_ny@usgs.gov\">Director</a>, New York Water Science Center<br> U.S. Geological Survey<br> 425 Jordan Road<br> Troy, NY 12180<br> <a href=\"http://ny.water.usgs.gov\" data-mce-href=\"http://ny.water.usgs.gov\">http://ny.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods of Analysis</li><li>Delineation of Areas Contributing Groundwater to Selected Receiving Surface Water Bodies</li><li>Limitations of Analysis</li><li>Summary and Conclusions</li><li>References Cited</li><li>Glossary</li></ul>","publishedDate":"2016-10-05","noUsgsAuthors":false,"publicationDate":"2016-10-05","publicationStatus":"PW","scienceBaseUri":"584e41fae4b0260a373816ec","contributors":{"authors":[{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":650106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monti,, Jack Jr. jmonti@usgs.gov","contributorId":145900,"corporation":false,"usgs":true,"family":"Monti,","given":"Jack","suffix":"Jr.","email":"jmonti@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":650107,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176613,"text":"sir20165089C - 2016 - Geology and mineral resources of the North-Central Idaho Sagebrush Focal Area: Chapter C in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>","interactions":[{"subject":{"id":70176613,"text":"sir20165089C - 2016 - Geology and mineral resources of the North-Central Idaho Sagebrush Focal Area: Chapter C in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>","indexId":"sir20165089C","publicationYear":"2016","noYear":false,"chapter":"C","title":"Geology and mineral resources of the North-Central Idaho Sagebrush Focal Area: Chapter C in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>"},"predicate":"IS_PART_OF","object":{"id":70175542,"text":"sir20165089 - 2016 - Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming","indexId":"sir20165089","publicationYear":"2016","noYear":false,"title":"Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming"},"id":1}],"isPartOf":{"id":70175542,"text":"sir20165089 - 2016 - Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming","indexId":"sir20165089","publicationYear":"2016","noYear":false,"title":"Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming"},"lastModifiedDate":"2018-11-19T10:32:20","indexId":"sir20165089C","displayToPublicDate":"2016-10-04T13:50:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5089","chapter":"C","title":"Geology and mineral resources of the North-Central Idaho Sagebrush Focal Area: Chapter C in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>","docAbstract":"<h1>Summary</h1><p>The U.S. Department of the Interior has proposed to withdraw approximately 10 million acres of Federal lands&nbsp;<span>from mineral entry (subject to valid existing rights) from 12 million acres of lands defined as Sagebrush Focal Areas (SFAs) in Idaho, Montana, Nevada, Oregon, Utah, and Wyoming (for further discussion on the lands involved see Scientific Investigations Report 2016–5089–A).&nbsp;</span><span>The purpose of the proposed action is to protect the greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>) and its habitat from potential adverse effects of locatable mineral exploration and mining. The U.S. Geological Survey Sagebrush Mineral-Resource Assessment (SaMiRA) project was initiated in November 2015 and supported by the Bureau of Land Management to (1) assess locatable mineral-resource potential and (2) to describe leasable and salable mineral resources for the seven SFAs and Nevada additions.</span></p><p><span>This chapter summarizes the current status of locatable, leasable, and salable mineral commodities and assesses the potential of locatable minerals in the North-Central Idaho SFA, which extends from east-central to south-central Idaho. The geologically complex area is composed of many different rock units that locally contain potential mineral resources.</span></p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming (Scientific Investigations Report 2016-5089)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165089C","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Lund, K., Zürcher, L., Hofstra, A.H., Van Gosen, B.S., Benson, M.E., Box, S.E., Anderson, E.D., Bleiwas, D.I., DeAngelo, J., Drake, R.M., II, Fernette, G.L., Giles, S.A., Glen, J.M.G., Haacke, J.E., Horton, J., John, D.M., Robinson, G.R., Jr.,\nRockwell, B.W., San Juan, C.A., Shaffer, B.N., Smith, S.M., and Williams, C.F., 2016, Geology and mineral resources of the North-Central Idaho Sagebrush Focal Area (ver. 1.1, October 27, 2016): U.S. Geological Survey Scientific Investigations Report 2016–5089 –C, 147 p., https://dx.doi.org/10.3133/sir20165089C.","productDescription":"Report: xvii, 147 p.; 37 Figures; 2 Appendixes","numberOfPages":"170","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":330455,"rank":14,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5089/c/sir20165089c_fig14_tabloid.pdf","text":"Figure 14 - Tabloid","size":"2.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5089-C Figure 14 tabloid PDF"},{"id":330465,"rank":24,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5089/c/sir20165089c_fig24_tabloid.pdf","text":"Figure 24 - Tabloid","size":"1.8 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Version 1.1: October 27, 2016","contact":"<p><a href=\"http://minerals.usgs.gov/contacts/\" target=\"_blank\" data-mce-href=\"http://minerals.usgs.gov/contacts/\">Contact Information</a>, Mineral Resources Program<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> 913 National Center<br> Reston, VA 20192<br> <a href=\"http://minerals.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://minerals.usgs.gov/\">http://minerals.usgs.gov/</a></p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Introduction<br></li><li>Description of Geology<br></li><li>Leasable Minerals<br></li><li>Locatable Minerals<br></li><li>Locatable Mineral-Resource Potential<br></li><li>Salable Commodities<br></li><li>References Cited<br></li><li>Appendixes 1-2<br></li></ul><p></p>","publishedDate":"2016-10-04","revisedDate":"2016-10-27","noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"57f7c639e4b0bc0bec09c80c","contributors":{"authors":[{"text":"Lund, 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,{"id":70174234,"text":"sir20165089B - 2016 - Geology and mineral resources of the Sheldon-Hart Mountain National Wildlife Refuge Complex (Oregon and Nevada), the Southeastern Oregon and North-Central Nevada, and the Southern Idaho and Northern Nevada (and Utah) Sagebrush Focal Areas: Chapter B in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>","interactions":[{"subject":{"id":70174234,"text":"sir20165089B - 2016 - Geology and mineral resources of the Sheldon-Hart Mountain National Wildlife Refuge Complex (Oregon and Nevada), the Southeastern Oregon and North-Central Nevada, and the Southern Idaho and Northern Nevada (and Utah) Sagebrush Focal Areas: Chapter B in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>","indexId":"sir20165089B","publicationYear":"2016","noYear":false,"chapter":"B","title":"Geology and mineral resources of the Sheldon-Hart Mountain National Wildlife Refuge Complex (Oregon and Nevada), the Southeastern Oregon and North-Central Nevada, and the Southern Idaho and Northern Nevada (and Utah) Sagebrush Focal Areas: Chapter B in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>"},"predicate":"IS_PART_OF","object":{"id":70175542,"text":"sir20165089 - 2016 - Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming","indexId":"sir20165089","publicationYear":"2016","noYear":false,"title":"Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming"},"id":1}],"isPartOf":{"id":70175542,"text":"sir20165089 - 2016 - Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming","indexId":"sir20165089","publicationYear":"2016","noYear":false,"title":"Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming"},"lastModifiedDate":"2020-01-13T15:19:39","indexId":"sir20165089B","displayToPublicDate":"2016-10-04T13:50:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5089","chapter":"B","title":"Geology and mineral resources of the Sheldon-Hart Mountain National Wildlife Refuge Complex (Oregon and Nevada), the Southeastern Oregon and North-Central Nevada, and the Southern Idaho and Northern Nevada (and Utah) Sagebrush Focal Areas: Chapter B in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>","docAbstract":"<h1>Summary</h1><p>The U.S. Department of the Interior has proposed to withdraw approximately 10 million acres of Federal lands&nbsp;<span>from mineral entry (subject to valid existing rights) from 12 million acres of lands defined as Sagebrush Focal Areas (SFAs) in Idaho, Montana, Nevada, Oregon, Utah, and Wyoming (for further discussion on the lands involved see Scientific Investigations Report 2016–5089–A).&nbsp;</span><span>The purpose of the proposed action is to protect the greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>) and its habitat from potential adverse effects of locatable mineral exploration and mining. The U.S. Geological Survey Sagebrush Mineral-Resource Assessment (SaMiRA) project was initiated in November 2015 and supported by the Bureau of Land Management to (1) assess locatable mineral-resource potential and (2) to describe leasable and salable mineral resources for the seven SFAs and Nevada additions.</span></p><p>This chapter summarizes the current status of locatable, leasable, and salable mineral commodities and assesses the potential of selected locatable minerals in lands proposed for withdrawal that span the Nevada, Oregon, Idaho, and Utah borders. 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Appendix 4"},{"id":330560,"rank":22,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5089/b/coverthb2.jpg"}],"country":"United States","state":"Idaho, Nevada, Oregon, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.62988281249999,\n              41\n            ],\n            [\n              -120.62988281249999,\n              43\n            ],\n            [\n              -113.302001953125,\n              43\n            ],\n            [\n              -113.302001953125,\n              41\n            ],\n            [\n              -120.62988281249999,\n              41\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted October 4, 2016; Version 1.1: October 28, 2016","contact":"<p><a href=\"http://minerals.usgs.gov/contacts/\" target=\"_blank\" data-mce-href=\"http://minerals.usgs.gov/contacts/\">Contact Information</a>, Mineral Resources Program<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> 913 National Center<br> Reston, VA 20192<br> <a href=\"http://minerals.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://minerals.usgs.gov/\">http://minerals.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Author Responsibilities.<br></li><li>Geology and Mineral Resources of the Sheldon-Hart Mountain National Wildlife Refuge Complex (Oregon and Nevada), the Southeastern Oregon and North-Central Nevada, and the Southern Idaho and Northern Nevada (and Utah) Sagebrush Focal Areas<br></li><li>Executive Summary<br></li><li>Introduction<br></li><li>Description of Geology<br></li><li>Locatable Minerals<br></li><li>Leasable Minerals<br></li><li>Salable Minerals<br></li><li>Mineral-Resource Potential of the Study Area for the Sheldon-Hart Mountain National Wildlife Refuge Complex Sagebrush Focal Area, Nevada and Oregon<br></li><li>Introduction<br></li><li>Description of Geology<br></li><li>Mineral-Resource Potential<br></li><li>Mineral-Resource Potential of the Study Area for the Southeastern Oregon and North-Central Nevada Sagebrush Focal Area, Nevada and Oregon<br></li><li>Introduction<br></li><li>Description of Geology<br></li><li>Mineral-Resource Potential<br></li><li>Mineral-Resource Potential of the Study Area for the Southern Idaho and Northern Nevada Sagebrush Focal Area, Nevada, Idaho, and Utah<br></li><li>Introduction<br></li><li>Description of Geology<br></li><li>Mineral-Resource Potential<br></li><li>Mineral-Resource Potential of the Nevada Additions Study Area<br></li><li>Introduction<br></li><li>Description of Geology<br></li><li>Mineral-Resource Potential<br></li><li>References Cited<br></li><li>Appendixes 1–5<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-10-04","revisedDate":"2016-10-28","noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"57f7c639e4b0bc0bec09c810","contributors":{"authors":[{"text":"Vikre, Peter G.","contributorId":49901,"corporation":false,"usgs":true,"family":"Vikre","given":"Peter G.","affiliations":[],"preferred":false,"id":641517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benson, Mary Ellen 0000-0002-4424-0730 mbenson@usgs.gov","orcid":"https://orcid.org/0000-0002-4424-0730","contributorId":4724,"corporation":false,"usgs":true,"family":"Benson","given":"Mary","email":"mbenson@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":641518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bleiwas, Donald I. bleiwas@usgs.gov","contributorId":1434,"corporation":false,"usgs":true,"family":"Bleiwas","given":"Donald","email":"bleiwas@usgs.gov","middleInitial":"I.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":641519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":641520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cossette, Pamela M. 0000-0002-9608-6595 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II rmdrake@usgs.gov","contributorId":168352,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","email":"rmdrake@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":641523,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"du Bray, Edward A. 0000-0002-4383-8394 edubray@usgs.gov","orcid":"https://orcid.org/0000-0002-4383-8394","contributorId":755,"corporation":false,"usgs":true,"family":"du Bray","given":"Edward","email":"edubray@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":641524,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fernette, Gregory L. gfernette@usgs.gov","contributorId":4224,"corporation":false,"usgs":true,"family":"Fernette","given":"Gregory L.","email":"gfernette@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":641525,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Glen, Jonathan M. 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,{"id":70176539,"text":"fs20163074 - 2016 - USGS mineral-resource assessment of Sagebrush Focal Areas in the western United States","interactions":[],"lastModifiedDate":"2016-10-04T14:19:28","indexId":"fs20163074","displayToPublicDate":"2016-10-04T13:50:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3074","title":"USGS mineral-resource assessment of Sagebrush Focal Areas in the western United States","docAbstract":"<p>U.S. Geological Survey (USGS) scientists have completed an assessment of the mineral-resource potential of nearly 10 million acres of Federal and adjacent lands in Idaho, Montana, Nevada, Oregon, Utah, and Wyoming. 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 \"}}]}","contact":"<p><a href=\"http://minerals.usgs.gov/contacts/\" target=\"_blank\" data-mce-href=\"http://minerals.usgs.gov/contacts/\">Contact Information</a>, Mineral Resources Program<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> 913 National Center<br> Reston, VA 20192<br> <a href=\"http://minerals.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://minerals.usgs.gov/\">http://minerals.usgs.gov/</a></p>","tableOfContents":"<ul><li>What was Studied and Where?<br></li><li>How was This Study Accomplished?<br></li><li>Mineral-Deposit Terms<br></li><li>Potential for Locatable Minerals in Proposed Withdrawal Areas<br></li><li>What are the Results of This Study?<br></li><li>USGS-Evaluated Potential for Locatable Minerals Summarized by Proposed Withdrawal Area Within Sagebrush Focal Area<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-10-04","noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"57f7c639e4b0bc0bec09c80e","contributors":{"authors":[{"text":"Frank, David G. dfrank@usgs.gov","contributorId":3274,"corporation":false,"usgs":true,"family":"Frank","given":"David","email":"dfrank@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":649152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frost, Thomas P. 0000-0001-8348-8432 tfrost@usgs.gov","orcid":"https://orcid.org/0000-0001-8348-8432","contributorId":203,"corporation":false,"usgs":true,"family":"Frost","given":"Thomas","email":"tfrost@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":649153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":649154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"the USGS SaMiRA team","contributorId":174960,"corporation":true,"usgs":false,"organization":"the USGS SaMiRA team","id":649800,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174053,"text":"sir20165089D - 2016 - Geology and mineral resources of the North-Central Montana Sagebrush Focal Area: Chapter D in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>","interactions":[{"subject":{"id":70174053,"text":"sir20165089D - 2016 - Geology and mineral resources of the North-Central Montana Sagebrush Focal Area: Chapter D in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>","indexId":"sir20165089D","publicationYear":"2016","noYear":false,"chapter":"D","title":"Geology and mineral resources of the North-Central Montana Sagebrush Focal Area: Chapter D in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>"},"predicate":"IS_PART_OF","object":{"id":70175542,"text":"sir20165089 - 2016 - Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming","indexId":"sir20165089","publicationYear":"2016","noYear":false,"title":"Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming"},"id":1}],"isPartOf":{"id":70175542,"text":"sir20165089 - 2016 - Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming","indexId":"sir20165089","publicationYear":"2016","noYear":false,"title":"Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming"},"lastModifiedDate":"2020-01-13T15:18:43","indexId":"sir20165089D","displayToPublicDate":"2016-10-04T13:50:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5089","chapter":"D","title":"Geology and mineral resources of the North-Central Montana Sagebrush Focal Area: Chapter D in <em>Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming</em>","docAbstract":"<h1>Summary</h1><p><span>The U.S. Department of the Interior has proposed to withdraw approximately 10 million acres of Federal lands&nbsp;</span><span>from mineral entry (subject to valid existing rights) from 12 million acres of lands defined as Sagebrush Focal Areas (SFAs) in Idaho, Montana, Nevada, Oregon, Utah, and Wyoming (for further discussion on the lands involved see Scientific Investigations Report 2016–5089–A).&nbsp;</span><span>The purpose of the proposed action is to protect the greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>) and its habitat from potential adverse effects of locatable mineral exploration and mining. The U.S. Geological Survey Sagebrush Mineral-Resource Assessment (SaMiRA) project was initiated in November 2015 and supported by the Bureau of Land Management to (1) assess locatable mineral-resource potential and (2) to describe leasable and salable mineral resources for the seven SFAs and Nevada additions.</span></p><p>This chapter summarizes the current status of locatable, leasable, and salable mineral commodities and assesses the potential of locatable minerals in the North-Central Montana SFA. The proposed withdrawal area that is evaluated in this report is located in north-central Montana, and includes parts of Fergus, Petroleum, Phillips, and Valley Counties.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Mineral resources of the Sagebrush Focal Areas of Idaho, Montana, Nevada, Oregon, Utah, and Wyoming (Scientific Investigations Report 2016-5089)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165089D","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Mauk, J.L., Zientek, M.L., Hearn, B.C., Jr., Parks, H.L., Jenkins, M.C., Anderson, E.D., Benson, M.E., Bleiwas, D.I., DeAngelo, J., Denning, P.D., Dicken, C.L., Drake, R.M., II, Fernette, G.L., Folger, H.W., Giles, S.A., Glen, J.M.G., Granitto, M., Haacke, J.E., Horton, J.D., Kelley, K.D., Ober, J.A., Rockwell, B.W., San Juan, C.A., Sangine, E.S., Schweitzer, P.N., Shaffer, B.N., Smith, S.M., Williams, C.F., and Yager, D.B., 2016, Geology and mineral resources of the North-Central Montana Sagebrush Focal Area: U.S. Geological Survey Scientific Investigations Report 2016–5089–D, 104 p., https://dx.doi.org/10.3133/sir20165089D.","productDescription":"Report: xvi, 104 p.; 12 Figures; 2 Appendixes","numberOfPages":"124","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075697","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":328978,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2016/5089/d/sir20165089d_fig24_tabloid.pdf","text":"Figure 24 - 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Tabloid","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5089 Chapter D Figure 13 - Tabloid"}],"country":"United States","state":"Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.324951171875,\n              47\n            ],\n            [\n              -109.324951171875,\n              48.4838455701099\n            ],\n            [\n              -106.3641357421875,\n              48.4838455701099\n            ],\n            [\n              -106.3641357421875,\n              47\n            ],\n            [\n              -109.324951171875,\n              47\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://minerals.usgs.gov/contacts/\" target=\"_blank\" data-mce-href=\"http://minerals.usgs.gov/contacts/\">Contact Information</a>, Mineral Resources Program<br> U.S. Geological Survey<br> 12201 Sunrise Valley Drive<br> 913 National Center<br> Reston, VA 20192<br> <a href=\"http://minerals.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://minerals.usgs.gov/\">http://minerals.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Executive Summary<br></li><li>Introduction<br></li><li>Who Did the Work?<br></li><li>Description of Geology<br></li><li>Leasable Minerals<br></li><li>Locatable Minerals<br></li><li>Salable Minerals<br></li><li>Mineral Economics<br></li><li>Strategic and Critical Mineral Materials<br></li><li>References Cited<br></li><li>Appendixes 1–4<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-10-04","noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"57f7c639e4b0bc0bec09c812","contributors":{"authors":[{"text":"Mauk, Jeffrey L. 0000-0002-6244-2774 jmauk@usgs.gov","orcid":"https://orcid.org/0000-0002-6244-2774","contributorId":4101,"corporation":false,"usgs":true,"family":"Mauk","given":"Jeffrey","email":"jmauk@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":640712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":640714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hearn, B. 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