{"pageNumber":"1216","pageRowStart":"30375","pageSize":"25","recordCount":165296,"records":[{"id":70141965,"text":"70141965 - 2015 - Toxicity of sediments from lead-zinc mining areas to juvenile freshwater mussels (Lampsilis siliquoidea) compared to standard test organisms","interactions":[],"lastModifiedDate":"2018-09-04T15:34:38","indexId":"70141965","displayToPublicDate":"2015-02-25T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Toxicity of sediments from lead-zinc mining areas to juvenile freshwater mussels (<i>Lampsilis siliquoidea</i>) compared to standard test organisms","title":"Toxicity of sediments from lead-zinc mining areas to juvenile freshwater mussels (Lampsilis siliquoidea) compared to standard test organisms","docAbstract":"<p><span>Sediment toxicity tests compared chronic effects on survival, growth, and biomass of juvenile freshwater mussels (28-d exposures with </span><i>Lampsilis siliquoidea</i><span>) to the responses of standard test organisms&mdash;amphipods (28-d exposures with<span>&nbsp;</span></span><i>Hyalella azteca</i><span>) and midges (10-d exposures with<span>&nbsp;</span></span><i>Chironomus dilutus</i><span>)&mdash;in sediments from 2 lead&ndash;zinc mining areas: the Tri-State Mining District and Southeast Missouri Mining District. Mussel tests were conducted in sediments sieved to &lt;0.25&thinsp;mm to facilitate recovery of juvenile mussels (2&ndash;4 mo old). Sediments were contaminated primarily with lead, zinc, and cadmium, with greater zinc and cadmium concentrations in Tri-State sediments and greater lead concentrations in southeast Missouri sediments. The frequency of highly toxic responses (reduced 10% or more relative to reference sites) in Tri-State sediments was greatest for amphipod survival (25% of samples), midge biomass (20%), and mussel survival (14%). In southeast Missouri sediments, the frequency of highly toxic samples was greatest for mussel biomass (25%) and amphipod biomass (13%). Thresholds for metal toxicity to mussels, expressed as hazard quotients based on probable effect concentrations, were lower for southeast Missouri sediments than for Tri-State sediments. Southeast Missouri sites with toxic sediments had 2 or fewer live mussel taxa in a concurrent mussel population survey, compared with 7 to 26 taxa at reference sites. These results demonstrate that sediment toxicity tests with juvenile mussels can be conducted reliably by modifying existing standard methods; that the sensitivity of mussels to metals can be similar to or greater than standard test organisms; and that responses of mussels in laboratory toxicity tests are consistent with effects on wild mussel populations.</span></p>","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1002/etc.2849","usgsCitation":"Besser, J.M., Ingersoll, C.G., Brumbaugh, W.G., Kemble, N.E., May, T.W., Wang, N., MacDonald, D., and Roberts, A.D., 2015, Toxicity of sediments from lead-zinc mining areas to juvenile freshwater mussels (Lampsilis siliquoidea) compared to standard test organisms: Environmental Toxicology and Chemistry, v. 34, no. 3, p. 626-639, https://doi.org/10.1002/etc.2849.","productDescription":"14 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,{"id":70156181,"text":"70156181 - 2015 - A plant toxin mediated mechanism for the lag in snowshoe hare population recovery following cyclic declines","interactions":[],"lastModifiedDate":"2019-07-25T15:04:27","indexId":"70156181","displayToPublicDate":"2015-02-25T01:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"A plant toxin mediated mechanism for the lag in snowshoe hare population recovery following cyclic declines","docAbstract":"<p>A necessary condition for a snowshoe hare population to cycle is reduced reproduction after the population declines. But the cause of a cyclic snowshoe hare population's reduced reproduction during the low phase of the cycle, when predator density collapses, is not completely understood. We propose that moderate-severe browsing by snowshoe hares upon preferred winter-foods could increase the toxicity of some of the hare's best winter-foods during the following hare low, with the result being a decline in hare nutrition that could reduce hare reproduction. We used a combination of modeling and experiments to explore this hypothesis. Using the shrub birch <i>Betula glandulosa</i> as the plant of interest, the model predicted that browsing by hares during a hare cycle peak, by increasing the toxicity <i>B. glandulosa</i> twigs during the following hare low, could cause a hare population to cycle. The model's assumptions were verified with assays of dammarane triterpenes in segments of <i>B. glandulosa</i> twigs and captive hare feeding experiments conducted in Alaska during February and March 1986. The model's predictions were tested with estimates of hare density and measurements of <i>B. glandulosa</i> twig growth made at Kluane, Yukon from 1988&ndash;2008. The empirical tests supported the model's predictions. Thus, we have concluded that a browsing-caused increase in twig toxicity that occurs during the hare cycle's low phase could reduce hare reproduction during the low phase of the hare cycle.</p>","language":"English","publisher":"Wiley","doi":"10.1111/oik.01671","usgsCitation":"DeAngelis, D., Bryant, J.P., Liu, R., Gourley, S.A., Krebs, C., and Reichardt, P.B., 2015, A plant toxin mediated mechanism for the lag in snowshoe hare population recovery following cyclic declines: Oikos, v. 124, no. 6, p. 796-805, https://doi.org/10.1111/oik.01671.","productDescription":"10 p.","startPage":"796","endPage":"805","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056126","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":306815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Yukon","otherGeospatial":"Kluane","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.04248046875,\n              59.789579955087405\n            ],\n            [\n              -141.04248046875,\n              61.95961583829658\n            ],\n            [\n              -134.97802734374997,\n              61.95961583829658\n            ],\n            [\n              -134.97802734374997,\n              59.789579955087405\n            ],\n            [\n              -141.04248046875,\n              59.789579955087405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-25","publicationStatus":"PW","scienceBaseUri":"55d305abe4b0518e35468cd4","contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":138934,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":567938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bryant, John P.","contributorId":39227,"corporation":false,"usgs":false,"family":"Bryant","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":567939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Rongsong","contributorId":43480,"corporation":false,"usgs":false,"family":"Liu","given":"Rongsong","email":"","affiliations":[],"preferred":false,"id":567940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gourley, Stephen A.","contributorId":60487,"corporation":false,"usgs":true,"family":"Gourley","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":567941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krebs, Charles J","contributorId":146456,"corporation":false,"usgs":false,"family":"Krebs","given":"Charles J","affiliations":[{"id":16701,"text":"Dept. of Zoology, University of British Columbia, Vancouver","active":true,"usgs":false}],"preferred":false,"id":567942,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reichardt, Paul B","contributorId":146457,"corporation":false,"usgs":false,"family":"Reichardt","given":"Paul","email":"","middleInitial":"B","affiliations":[{"id":16702,"text":"Dept. of Chemistry and Biochemistry, University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":567943,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70141847,"text":"ofr20151031E - 2015 - Seismicity of the Earth 1900-2013, seismotectonics of South America (Nazca Plate Region)","interactions":[],"lastModifiedDate":"2018-03-23T14:12:57","indexId":"ofr20151031E","displayToPublicDate":"2015-02-24T15:15:00","publicationYear":"2015","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":"2015-1031","chapter":"E","title":"Seismicity of the Earth 1900-2013, seismotectonics of South America (Nazca Plate Region)","docAbstract":"<p>The South American arc extends over 7,000 kilometers (km), from the Chilean margin triple junction offshore of southern Chile, to its intersection with the Panama fracture zone, offshore of the southern coast of Panama in Central America. It marks the plate boundary between the subducting Nazca plate and the South America plate, where the oceanic crust and lithosphere of the Nazca plate begin their descent into the mantle beneath South America. The convergence associated with this subduction process is responsible for the uplift of the Andes Mountains, and for the active volcanic chain present along much of this deformation front. Relative to a fixed South America plate, the Nazca plate moves slightly north of eastwards at a rate varying from approximately 80 millimeters/year (mm/yr) in the south, to approximately 65 mm/yr in the north. Although the rate of subduction varies little along the entire arc, there are complex changes in the geologic processes along the subduction zone that dramatically influence volcanic activity, crustal deformation, earthquake generation and occurrence all along the western edge of South America.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151031E","usgsCitation":"Hayes, G.P., Smoczyk, G.M., Benz, H.M., Furlong, K.P., and Villaseñor, A., 2015, Seismicity of the Earth 1900-2013, seismotectonics of South America (Nazca Plate Region): U.S. Geological Survey Open-File Report 2015-1031, 1 sheet: 38.15 x 25.50 inches, https://doi.org/10.3133/ofr20151031E.","productDescription":"1 sheet: 38.15 x 25.50 inches","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-057887","costCenters":[{"id":300,"text":"Geologic Hazards Science 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,{"id":70142976,"text":"70142976 - 2015 - Ecosystem consequences of changing inputs of terrestrial dissolved organic matter to lakes: current knowledge and future challenges","interactions":[],"lastModifiedDate":"2015-04-01T09:50:16","indexId":"70142976","displayToPublicDate":"2015-02-24T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem consequences of changing inputs of terrestrial dissolved organic matter to lakes: current knowledge and future challenges","docAbstract":"<p>Lake ecosystems and the services that they provide to people are profoundly influenced by dissolved organic matter derived from terrestrial plant tissues. These terrestrial dissolved organic matter (tDOM) inputs to lakes have changed substantially in recent decades, and will likely continue to change. In this paper, we first briefly review the substantial literature describing tDOM effects on lakes and ongoing changes in tDOM inputs. We then identify and provide examples of four major challenges which limit predictions about the implications of tDOM change for lakes, as follows: First, it is currently difficult to forecast future tDOM inputs for particular lakes or lake regions. Second, tDOM influences ecosystems via complex, interacting, physical-chemical-biological effects and our holistic understanding of those effects is still rudimentary. Third, non-linearities and thresholds in relationships between tDOM inputs and ecosystem processes have not been well described. Fourth, much understanding of tDOM effects is built on comparative studies across space that may not capture likely responses through time. We conclude by identifying research approaches that may be important for overcoming those challenges in order to provide policy- and management-relevant predictions about the implications of changing tDOM inputs for lakes.</p>","language":"English","publisher":"Springer-Verlag","publisherLocation":"New York, NY","doi":"10.1007/s10021-015-9848-y","usgsCitation":"Solomon, C.T., Jones, S., Weidel, B., Buffam, I., Fork, M.L., Karlsson, J., Larsen, S., Lennon, J.T., Read, J.S., Sadro, S., and Saros, J.E., 2015, Ecosystem consequences of changing inputs of terrestrial dissolved organic matter to lakes: current knowledge and future challenges: Ecosystems, v. 18, no. 3, p. 376-389, https://doi.org/10.1007/s10021-015-9848-y.","productDescription":"14 p.","startPage":"376","endPage":"389","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053306","costCenters":[{"id":324,"text":"Great Lakes Science 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L.","contributorId":139659,"corporation":false,"usgs":false,"family":"Fork","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":12868,"text":"Nicholas School of the Environment, Duke University, Durham, NC, USA","active":true,"usgs":false}],"preferred":false,"id":542361,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karlsson, Jan","contributorId":139660,"corporation":false,"usgs":false,"family":"Karlsson","given":"Jan","email":"","affiliations":[{"id":12869,"text":"Dept. of Ecology and Environmental Science, Umeå University, Umeå, Sweden.","active":true,"usgs":false}],"preferred":false,"id":542362,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larsen, Soren","contributorId":139661,"corporation":false,"usgs":false,"family":"Larsen","given":"Soren","email":"","affiliations":[{"id":12870,"text":"Centre for Ecological and Evolutionary Synthesis, Dept. of Bioscience, University of Oslo, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":542363,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lennon, Jay T.","contributorId":38069,"corporation":false,"usgs":true,"family":"Lennon","given":"Jay","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":542364,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":542365,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sadro, Steven 0000-0002-6416-3840","orcid":"https://orcid.org/0000-0002-6416-3840","contributorId":139662,"corporation":false,"usgs":false,"family":"Sadro","given":"Steven","email":"","affiliations":[{"id":12871,"text":"Marine Science Institute, University of California, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":542366,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Saros, Jasmine E.","contributorId":29958,"corporation":false,"usgs":true,"family":"Saros","given":"Jasmine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":542367,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70141845,"text":"sir20145241 - 2015 - Conceptual and numerical models of groundwater flow in the Ogallala and Arikaree aquifers, Pine Ridge Indian Reservation area, South Dakota, water years 1980-2009","interactions":[],"lastModifiedDate":"2017-10-12T20:05:15","indexId":"sir20145241","displayToPublicDate":"2015-02-23T10:45:00","publicationYear":"2015","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":"2014-5241","title":"Conceptual and numerical models of groundwater flow in the Ogallala and Arikaree aquifers, Pine Ridge Indian Reservation area, South Dakota, water years 1980-2009","docAbstract":"<p>The Ogallala and Arikaree aquifers are the largest sources of groundwater on the Pine Ridge Indian Reservation and are used extensively for irrigation and public and domestic water supplies. To assess the potential for decreased water levels and discharge to streams in the Pine Ridge Indian Reservation, conceptual and numerical models of groundwater flow in the Ogallala and Arikaree aquifers in southwestern South Dakota were developed by the U.S. Geological Survey in cooperation with the Oglala Sioux Tribe. The study area includes most of the Pine Ridge Reservation in Jackson and Shannon Counties and Indian trust lands in Bennett County in southwestern South Dakota.</p>\n<p>The High Plains aquifer, which includes the Ogallala and Arikaree aquifers, generally is less developed in South Dakota compared with other areas underlain by this aquifer; therefore, water levels in the High Plains aquifer in South Dakota generally fluctuated by less than 5 feet (ft) from 1980 to 1999. Despite minimal water-level changes in the High Plains aquifer in South Dakota, extensive withdrawals of groundwater for irrigation have caused water-level declines in many areas and increased concerns about the long-term sustainability of the aquifer; therefore, continued or increased withdrawals from the aquifer or prolonged drought may have the potential to affect water levels within the aquifer and discharge to important streams in the area.</p>\n<p>The Ogallala and Arikaree aquifers generally consist of poorly consolidated claystones, siltstones, sandstones, and shale deposited in fluvial and lacustrine environments. Saturated thicknesses ranged from 10 to 314 ft for the Ogllala aquifer and from 10 to 862 ft for the Arikaree aquifer. Previous hydraulic conductivity estimates ranged from less than 1 to 180 feet per day (ft/d) for the Ogallala aquifer and from less than 1 to 13 ft/d for the Arikaree aquifer.</p>\n<p>Recharge to the Ogallala and Arikaree aquifers is from precipitation on the outcrop areas, and discharge occurs through evapotranspiration, discharge to streams, and well withdrawals. Evapotranspiration generally occurs in topographically low areas along streams, and maximum evapotranspiration occurs when the water level is at the land surface.</p>\n<p>The generalized groundwater-flow direction is to the northeast with local flow towards streams. Precipitation for water years 1980&ndash;2009 ranged from about 11 to 39 inches per year (in/yr) and averaged about 19 in/yr. Estimated mean recharge for water years 1980&ndash;2009 was about 17.3 percent of precipitation for the Ogallala aquifer and 7.9 percent of precipitation for the Arikaree aquifer. The estimated mean maximum evapotranspiration for water years 1980&ndash;2009 was about 35 in/yr. Estimated mean base flow for gaged streams was about 0.06 cubic foot per second (ft<sup>3</sup>/s) per square mile of drainage area. Estimated mean total water use for water years 1980&ndash;2009 was 5.4 ft<sup>3</sup>/s from the Ogallala aquifer and 7.1 ft<sup>3</sup>/s from the Arikaree aquifer.</p>\n<p>A two-layer numerical groundwater-flow model was constructed using MODFLOW&ndash;NWT with a uniformly spaced grid consisting of 166 rows and 288 columns with cells 1,640 ft on a side. The numerical model of the Ogallala and Arikaree aquifers was used to simulate steady-state and transient conditions for water years 1980&ndash;2009. Model calibration was accomplished using the Parameter ESTimation (PEST) program that adjusted individual model input parameters and assessed the difference between estimated and model-simulated values of hydraulic head and base flow. Aquifer boundaries were no-flow on the northern and western sides and constant-head on the southern and eastern sides. The mean arithmetic difference was 1.4 ft between the 731 simulated and observed hydraulic heads in the Ogallala aquifer and 9.8 ft between the 2,754 simulated and observed hydraulic heads in the Arikaree aquifer. Simulated mean discharge from the Ogallala and Arikaree aquifers to selected stream reaches was 92.1 ft<sup>3</sup>/s compared to estimated discharge of 88.7 ft<sup>3</sup>/s.</p>\n<p>Calibrated recharge for the transient simulation averaged 3.3 in/yr for the Ogallala aquifer and 1.1 in/yr for the Arikaree aquifer. The mean maximum potential evapotranspiration rate was 35.4 in/yr. Streambed conductance for perennial stream reaches averaged 530 feet squared per day. Horizontal hydraulic conductivity averaged 27 ft/d for the Ogallala aquifer and 1.0 ft/d for the Arikaree aquifer. The vertical hydraulic conductivity averaged 1.4 ft/d for the Ogallala aquifer and 0.004 ft/d for the Arikaree aquifer. Specific yield for the Ogallala aquifer was 0.15 (dimensionless) and averaged 0.02 for the Arikaree aquifer. Specific storage for the Arikaree aquifer was 1.7x10<sup>-6</sup>&nbsp;per foot. Simulated steady-state model inflow and outflow was 459 ft<sup>3</sup>/s. The percentages of inflows were 17 percent from constant-head boundaries, 9 percent from streams, and 74 percent from recharge. Percentages of outflow were 8 percent to constant-head boundaries, 1 percent to wells, 31 percent to streams, and 59 percent to evapotranspiration. Simulated net inflow from the Ogallala aquifer to the Arikaree aquifer ranged from about 22 ft<sup>3</sup>/s in dry years to about 37 ft<sup>3</sup>/s in wet years.</p>\n<p>Two hypothetical future stress scenarios were simulated using input from the 30-year calibrated simulation of water years 1980&ndash;2009. The first hypothetical scenario represented an increase in groundwater withdrawals from 50 hypothetical production wells completed in the Arikaree aquifer. At the end of the 30-year hypothetical increased pumping simulation, water levels declined as much as 66 ft in the Arikaree aquifer, decreased discharge to streams accounted for about 26 percent (2.6 ft<sup>3</sup>/s) of increased withdrawals, and decreased evapotranspiration accounted for about 53 (5.3 ft<sup>3</sup>/s) percent of increased withdrawals.</p>\n<p>The second hypothetical scenario represented a 30-year period of decreased recharge (drought) by decreasing recharge 0.2 inch (24 ft<sup>3</sup>/s) for each water year. At the end of the hypothetical drought simulation, water levels declined as much as 10.9 ft in the Arikaree aquifer, decreased discharge to streams accounted for about 23 percent (5.5 ft<sup>3</sup>/s) of decreased recharge, and decreased evapotranspiration accounted for about 72 percent (17.3 ft<sup>3</sup>/s) of decreased recharge.</p>\n<p>The numerical model is a tool that could be used to better understand the flow system of the Ogallala and Arikaree aquifers, to approximate hydraulic heads in the aquifer, and to estimate discharge to rivers, springs, and seeps in the Pine Ridge Reservation area in Bennett, Jackson, and Shannon Counties. The model also is useful to help assess the response of the aquifer to additional stress, including potential increased well withdrawals and potential drought conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145241","collaboration":"Prepared in cooperation with the Oglala Sioux Tribe","usgsCitation":"Davis, K.W., Putnam, L.D., and LaBelle, A.R., 2015, Conceptual and numerical models of groundwater flow in the Ogallala and Arikaree aquifers, Pine Ridge Indian Reservation area, South Dakota, water years 1980-2009: U.S. Geological Survey Scientific Investigations Report 2014-5241, x, 68 p., https://doi.org/10.3133/sir20145241.","productDescription":"x, 68 p.","numberOfPages":"82","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1979-10-01","temporalEnd":"2009-09-30","ipdsId":"IP-045449","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":298106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145241.jpg"},{"id":298103,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5241/pdf/sir2014-5241.pdf","text":"Report","size":"11.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298101,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5241/"}],"projection":"Universal Transverse Mercator projection, Zone 14","country":"United States","state":"South Dakota","otherGeospatial":"Arikaree Aquifer, Ogallala Aquifer, Pine Ridge Indian Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -102.98858642578125,\n              42.99862111927107\n            ],\n            [\n              -102.98858642578125,\n              43.7294293330051\n            ],\n            [\n              -101.19781494140625,\n              43.7294293330051\n            ],\n            [\n              -101.19781494140625,\n              42.99862111927107\n            ],\n            [\n              -102.98858642578125,\n              42.99862111927107\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54ec4f2de4b02d776a67da93","contributors":{"authors":[{"text":"Davis, Kyle W. 0000-0002-8723-0110 kyledavis@usgs.gov","orcid":"https://orcid.org/0000-0002-8723-0110","contributorId":3987,"corporation":false,"usgs":true,"family":"Davis","given":"Kyle","email":"kyledavis@usgs.gov","middleInitial":"W.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putnam, Larry D. ldputnam@usgs.gov","contributorId":990,"corporation":false,"usgs":true,"family":"Putnam","given":"Larry","email":"ldputnam@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":541124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaBelle, Anneka R.","contributorId":139410,"corporation":false,"usgs":false,"family":"LaBelle","given":"Anneka","email":"","middleInitial":"R.","affiliations":[{"id":12443,"text":"U.S. Geological Survey (retired)","active":true,"usgs":false}],"preferred":false,"id":541125,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155505,"text":"70155505 - 2015 - A comparison of hydrologic models for ecological flows and water availability","interactions":[],"lastModifiedDate":"2015-12-07T10:24:59","indexId":"70155505","displayToPublicDate":"2015-02-23T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of hydrologic models for ecological flows and water availability","docAbstract":"<p><span>Robust hydrologic models are needed to help manage water resources for healthy aquatic ecosystems and reliable water supplies for people, but there is a lack of comprehensive model comparison studies that quantify differences in streamflow predictions among model applications developed to answer management questions. We assessed differences in daily streamflow predictions by four fine-scale models and two regional-scale monthly time step models by comparing model fit statistics and bias in ecologically relevant flow statistics (ERFSs) at five sites in the Southeastern USA. Models were calibrated to different extents, including uncalibrated (level A), calibrated to a downstream site (level B), calibrated specifically for the site (level C) and calibrated for the site with adjusted precipitation and temperature inputs (level D). All models generally captured the magnitude and variability of observed streamflows at the five study sites, and increasing level of model calibration generally improved performance. All models had at least 1 of 14 ERFSs falling outside a +/&minus;30% range of hydrologic uncertainty at every site, and ERFSs related to low flows were frequently over-predicted. Our results do not indicate that any specific hydrologic model is superior to the others evaluated at all sites and for all measures of model performance. Instead, we provide evidence that (1) model performance is as likely to be related to calibration strategy as it is to model structure and (2) simple, regional-scale models have comparable performance to the more complex, fine-scale models at a monthly time step.</span></p>","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/eco.1602","usgsCitation":"Caldwell, P.V., Kennen, J., Sun, G., Kiang, J.E., Butcher, J.B., Eddy, M.C., Hay, L.E., LaFontaine, J.H., Hain, E.F., Nelson, S.C., and McNulty, S., 2015, A comparison of hydrologic models for ecological flows and water availability: Ecohydrology, v. 8, no. 8, p. 1525-1546, https://doi.org/10.1002/eco.1602.","productDescription":"22 p.","startPage":"1525","endPage":"1546","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062207","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":306514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-23","publicationStatus":"PW","scienceBaseUri":"55c9cb2ee4b08400b1fdb6e1","contributors":{"authors":[{"text":"Caldwell, Peter V","contributorId":145892,"corporation":false,"usgs":false,"family":"Caldwell","given":"Peter","email":"","middleInitial":"V","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":565591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Ge","contributorId":145893,"corporation":false,"usgs":false,"family":"Sun","given":"Ge","email":"","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":565592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":565593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butcher, John B","contributorId":145894,"corporation":false,"usgs":false,"family":"Butcher","given":"John","email":"","middleInitial":"B","affiliations":[{"id":16286,"text":"Tetra Tech","active":true,"usgs":false}],"preferred":false,"id":565594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eddy, Michelle C","contributorId":145895,"corporation":false,"usgs":false,"family":"Eddy","given":"Michelle","email":"","middleInitial":"C","affiliations":[{"id":7151,"text":"RTI International","active":true,"usgs":false}],"preferred":false,"id":565595,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":565596,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565597,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hain, Ernie F.","contributorId":141247,"corporation":false,"usgs":false,"family":"Hain","given":"Ernie","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":565598,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, Stacy C","contributorId":145896,"corporation":false,"usgs":false,"family":"Nelson","given":"Stacy","email":"","middleInitial":"C","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":565599,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McNulty, Steve G","contributorId":145897,"corporation":false,"usgs":false,"family":"McNulty","given":"Steve G","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":567588,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70141774,"text":"70141774 - 2015 - Development of 13 microsatellites for Gunnison Sage-grouse (<i>Centrocercus minimus</i>) using next-generation shotgun sequencing and their utility in Greater Sage-grouse (<i>Centrocercus urophasianus</i>)","interactions":[],"lastModifiedDate":"2015-02-25T08:23:41","indexId":"70141774","displayToPublicDate":"2015-02-23T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of 13 microsatellites for Gunnison Sage-grouse (<i>Centrocercus minimus</i>) using next-generation shotgun sequencing and their utility in Greater Sage-grouse (<i>Centrocercus urophasianus</i>)","docAbstract":"<p>Gunnison Sage-grouse are an obligate sagebrush species that has experienced significant population declines and has been proposed for listing under the U.S. Endangered Species Act. In order to examine levels of connectivity among Gunnison Sage-grouse leks, we identified 13 novel microsatellite loci though next-generation shotgun sequencing, and tested them on the closely related Greater Sage-grouse. The number of alleles per locus ranged from 2 to 12. No loci were found to be linked, although 2 loci revealed significant departures from Hardy&ndash;Weinberg equilibrium or evidence of null alleles. While these microsatellites were designed for Gunnison Sage-grouse, they also work well for Greater Sage-grouse and could be used for numerous genetic questions including landscape and population genetics.</p>","language":"English","publisher":"Springer","publisherLocation":"Netherlands","doi":"10.1007/s12686-014-0336-z","usgsCitation":"Fike, J.A., Oyler-McCance, S.J., Zimmerman, S., and Castoe, T.A., 2015, Development of 13 microsatellites for Gunnison Sage-grouse (<i>Centrocercus minimus</i>) using next-generation shotgun sequencing and their utility in Greater Sage-grouse (<i>Centrocercus urophasianus</i>): Conservation Genetics Resources, v. 7, no. 1, p. 211-214, https://doi.org/10.1007/s12686-014-0336-z.","productDescription":"4 p.","startPage":"211","endPage":"214","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059564","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":298092,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-24","publicationStatus":"PW","scienceBaseUri":"54ec4f2ee4b02d776a67da95","contributors":{"authors":[{"text":"Fike, Jennifer A. fikej@usgs.gov","contributorId":4564,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer","email":"fikej@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":541065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":541066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Shawna J","contributorId":139402,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Shawna J","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":541067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castoe, Todd A.","contributorId":23819,"corporation":false,"usgs":true,"family":"Castoe","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":541068,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70136504,"text":"ofr20141261 - 2015 - Analysis of historic agricultural irrigation data from the Natural Resources Conservation Service monitoring and evaluation for Grand Valley, Lower Gunnison Basin, and McElmo Creek Basin, western Colorado, 1985 to 2003","interactions":[],"lastModifiedDate":"2015-02-23T09:13:09","indexId":"ofr20141261","displayToPublicDate":"2015-02-23T08:30:00","publicationYear":"2015","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":"2014-1261","title":"Analysis of historic agricultural irrigation data from the Natural Resources Conservation Service monitoring and evaluation for Grand Valley, Lower Gunnison Basin, and McElmo Creek Basin, western Colorado, 1985 to 2003","docAbstract":"<p>The Natural Resources Conservation Service Monitoring and Evaluation for three salinity control units in western Colorado&mdash;Grand Valley, Lower Gunnison, and McElmo Creek&mdash;from 1985 to 2003 was a response to the Colorado River Basin Salinity Control Act, Public Law 93&ndash;320, July 24, 1974, and its amendments. The Natural Resources Conservation Service evaluated the effects on seasonal irrigation efficiency and deep percolation of irrigation water of various on-farm irrigation system improvements in the three salinity control units, and reported the results in a series of internal Natural Resources Conservation Service annual reports. Because of the large amount of effort and expense that went into the Natural Resources Conservation Service Monitoring and Evaluation and the importance of the data to help quantify the changes to deep percolation, the Natural Resources Conservation Service has determined that having the evaluation results made public through a characterization and analysis of the results by the U.S. Geological Survey could be of use to a wider audience of water managers and the general public.</p>\n<p>In 2011, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation and the Colorado River Basin Salinity Control Forum, began a study to evaluate the Natural Resources Conservation Service evaluation data to (1) document the methods of the evaluation, and (2) analyze and summarize the data collected during the evaluation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141261","collaboration":"Prepared in cooperation with the Bureau of Reclamation and Colorado River Basin Salinity Control Forum","usgsCitation":"Mayo, J.W., 2015, Analysis of historic agricultural irrigation data from the Natural Resources Conservation Service monitoring and evaluation for Grand Valley, Lower Gunnison Basin, and McElmo Creek Basin, western Colorado, 1985 to 2003: U.S. Geological Survey Open-File Report 2014-1261, xii, 176 p., https://doi.org/10.3133/ofr20141261.","productDescription":"xii, 176 p.","numberOfPages":"191","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1985-01-01","temporalEnd":"2003-12-31","ipdsId":"IP-055814","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":298090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141261.jpg"},{"id":298081,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1261/"},{"id":298083,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1261/pdf/ofr2014-1261.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Colorado","otherGeospatial":"Grand Valley, Lower Gunnison Basin, McElmo Creek Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.00634765625,\n              37.09023980307208\n            ],\n            [\n              -109.00634765625,\n              39.32579941789298\n            ],\n            [\n              -107.2979736328125,\n              39.32579941789298\n            ],\n            [\n              -107.2979736328125,\n              37.09023980307208\n            ],\n            [\n              -109.00634765625,\n              37.09023980307208\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54ec4f29e4b02d776a67da91","contributors":{"authors":[{"text":"Mayo, John W. jwmayo@usgs.gov","contributorId":993,"corporation":false,"usgs":true,"family":"Mayo","given":"John","email":"jwmayo@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541109,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70155981,"text":"70155981 - 2015 - The U.S. Geological Survey’s nonindigenous aquatic species database: over thirty years of tracking introduced aquatic species in the United States (and counting)","interactions":[],"lastModifiedDate":"2019-07-25T15:06:52","indexId":"70155981","displayToPublicDate":"2015-02-23T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"The U.S. Geological Survey’s nonindigenous aquatic species database: over thirty years of tracking introduced aquatic species in the United States (and counting)","docAbstract":"<p>The U.S. Geological Survey&rsquo;s Nonindigenous Aquatic Species (NAS) Database has tracked introductions of freshwater aquatic organisms in the United States for the past four decades. A website provides access to occurrence reports, distribution maps, and fact sheets for more than 1,000 species. The site also includes an on-line reporting system and an alert system for new occurrences. We provide an historical overview of the database, a description of its current capabilities and functionality, and a basic characterization of the data contained within the database.</p>","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2015.6.2.06","usgsCitation":"Fuller, P.L., and Neilson, M., 2015, The U.S. Geological Survey’s nonindigenous aquatic species database: over thirty years of tracking introduced aquatic species in the United States (and counting): Management of Biological Invasions, v. 6, no. 2, p. 159-170, https://doi.org/10.3391/mbi.2015.6.2.06.","productDescription":"12 p.","startPage":"159","endPage":"170","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060621","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472263,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2015.6.2.06","text":"Publisher Index Page"},{"id":306674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cdbfbde4b08400b1fe1441","contributors":{"authors":[{"text":"Fuller, Pamela L. 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":3217,"corporation":false,"usgs":true,"family":"Fuller","given":"Pamela","email":"pfuller@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":567532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neilson, Matthew E. 0000-0002-5139-5677","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":146352,"corporation":false,"usgs":false,"family":"Neilson","given":"Matthew E.","affiliations":[{"id":16681,"text":"Cherokee Nation Technical Solutions","active":true,"usgs":false}],"preferred":false,"id":567533,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70125445,"text":"ofr20141200 - 2015 - Modeling elk and bison carrying capacity for Great Sand Dunes National Park, Baca National Wildlife Refuge, and The Nature Conservancy's Medano Ranch, Colorado","interactions":[],"lastModifiedDate":"2015-02-20T15:25:16","indexId":"ofr20141200","displayToPublicDate":"2015-02-20T15:15:00","publicationYear":"2015","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":"2014-1200","title":"Modeling elk and bison carrying capacity for Great Sand Dunes National Park, Baca National Wildlife Refuge, and The Nature Conservancy's Medano Ranch, Colorado","docAbstract":"<p>Great Sand Dunes National Park and Preserve and the neighboring Baca National Wildlife Refuge constitute an extraordinary setting that offers a variety of opportunities for outdoor recreation and natural resource preservation in the San Luis Valley of Colorado. Adjacent to these federal lands, the Nature Conservancy (TNC) manages the historic Medano Ranch. The total land area of these three conservation properties is roughly 121,500 hectares (ha). It is a remote and rugged area in which resource managers must balance the protection of natural resources with recreation and neighboring land uses. The management of wild ungulates in this setting presents challenges, as wild ungulates move freely across public and private landscapes.</p>\n<p>The San Luis Valley was historically used for irrigated agriculture and ranching. Historically, livestock, including sheep (<i>Ovis aries</i>) and cattle (<i>Bos taurus</i>), were grazed throughout the valley. The former Luis Marie &ldquo;Baca&rdquo; Ranch, which makes up the northern part of Great Sand Dunes National Park (hereafter &ldquo;Park&rdquo;) and all of the Baca National Wildlife Refuge (hereafter &ldquo;Refuge&rdquo;), was actively grazed by cattle until 2004. Bison (<i>Bison bison</i>), elk (<i>Cervus elaphus</i>), mule deer (<i>Odocoileus hemionus</i>), and pronghorn (<i>Antilocapra americana</i>) were native to the area until about the 1840s, when bison, elk, and pronghorn were extirpated.</p>\n<p>Elk and pronghorn likely moved back into the area from surrounding populations to the north and south, and mule deer populations have varied through time. A population of 4,400 elk currently inhabits the area. The current bison population was established in 1986 for meat production. In 1999 TNC purchased the ranch and established a bison conservation herd, and eventually subcontracted management to a private rancher in 2005. A population of bison ranging in size from 1,200&ndash;2,000 ranges freely within the 16,100 ha Medano Ranch. Ungulate populations in the valley are regulated by hunting, with the exception of bison, which are rounded up and culled annually to maintain population levels.</p>\n<p>In an effort to create and form the basis of a multi-agency ungulate management plan for the region, the Park sought the development of an elk and bison ecological carrying capacity model to provide guidance to resource managers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141200","collaboration":"In cooperation with the National Park Service","usgsCitation":"Wockner, G., Boone, R., Schoenecker, K.A., and Zeigenfuss, L., 2015, Modeling elk and bison carrying capacity for Great Sand Dunes National Park, Baca National Wildlife Refuge, and The Nature Conservancy's Medano Ranch, Colorado: U.S. Geological Survey Open-File Report 2014-1200, iv, 23 p., https://doi.org/10.3133/ofr20141200.","productDescription":"iv, 23 p.","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-056689","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":298075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141200.jpg"},{"id":298073,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1200/"},{"id":298074,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1200/pdf/ofr2014-1200.pdf","text":"Report","size":"7.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Colorado","otherGeospatial":"Baca National Wildlife Refuge, Great Sand Dunes National Park, San Luis Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.15264892578125,\n              37.477037796698056\n            ],\n            [\n              -106.15264892578125,\n              38.52023522875919\n            ],\n            [\n              -105.018310546875,\n              38.52023522875919\n            ],\n            [\n              -105.018310546875,\n              37.477037796698056\n            ],\n            [\n              -106.15264892578125,\n              37.477037796698056\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e85aade4b02d776a67c5b7","contributors":{"authors":[{"text":"Wockner, Gary","contributorId":118967,"corporation":false,"usgs":true,"family":"Wockner","given":"Gary","email":"","affiliations":[],"preferred":false,"id":541072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boone, Randall","contributorId":121404,"corporation":false,"usgs":true,"family":"Boone","given":"Randall","email":"","affiliations":[],"preferred":false,"id":541073,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X schoeneckerk@usgs.gov","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":2001,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn","email":"schoeneckerk@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":541070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zeigenfuss, Linda 0000-0002-6700-8563 linda_zeigenfuss@usgs.gov","orcid":"https://orcid.org/0000-0002-6700-8563","contributorId":2079,"corporation":false,"usgs":true,"family":"Zeigenfuss","given":"Linda","email":"linda_zeigenfuss@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":541071,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198398,"text":"70198398 - 2015 - Pre-fieldwork surveys ","interactions":[],"lastModifiedDate":"2018-09-04T14:44:36","indexId":"70198398","displayToPublicDate":"2015-02-20T14:35:29","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Pre-fieldwork surveys ","docAbstract":"<p>In sea-level studies, initial surveys at the office or library can increase a project’s likelihood of success. Pre-fieldwork surveys should begin with a thorough review of prior research literature that appraises available data, identifies data gaps, and places the project objectives into a broader scientific context. Whereas peer reviewed journal articles may contain a wealth of research findings, often the most useful maps, historical documents, images, and other data critical for sea-level research are discovered by searching government files, libraries, museums, unpublished reports, or, increasingly, online digital data collections.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of sea-level research","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Wiley","doi":"10.1002/9781118452547","usgsCitation":"Witter, R., 2015, Pre-fieldwork surveys , chap. 3 <i>of</i> Handbook of sea-level research, https://doi.org/10.1002/9781118452547.","productDescription":"20 p.","startPage":"27","numberOfPages":"46","ipdsId":"IP-055158","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":488779,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1659707","text":"External Repository"},{"id":357049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-20","publicationStatus":"PW","scienceBaseUri":"5b98a8a8e4b0702d0e843106","contributors":{"editors":[{"text":"Shennan, Ian","contributorId":54883,"corporation":false,"usgs":true,"family":"Shennan","given":"Ian","email":"","affiliations":[],"preferred":false,"id":744125,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Long, Antony J.","contributorId":191198,"corporation":false,"usgs":false,"family":"Long","given":"Antony","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":744126,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Horton, Benajamin P.","contributorId":192918,"corporation":false,"usgs":false,"family":"Horton","given":"Benajamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":744127,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":741348,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70177028,"text":"70177028 - 2015 - Metal Mixture Modeling Evaluation project: 2. Comparison of four modeling approaches","interactions":[],"lastModifiedDate":"2016-10-19T15:22:25","indexId":"70177028","displayToPublicDate":"2015-02-20T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Metal Mixture Modeling Evaluation project: 2. Comparison of four modeling approaches","docAbstract":"As part of the Metal Mixture Modeling Evaluation (MMME) project, models were developed by the National Institute of Advanced Industrial Science and Technology (Japan), the U.S. Geological Survey (USA), HDR⎪HydroQual, Inc. (USA), and the Centre for Ecology and Hydrology (UK) to address the effects of metal mixtures on biological responses of aquatic organisms.  A comparison of the 4 models, as they were presented at the MMME Workshop in Brussels, Belgium (May 2012), is provided herein.  Overall, the models were found to be similar in structure (free ion activities computed by WHAM; specific or non-specific binding of metals/cations in or on the organism; specification of metal potency factors and/or toxicity response functions to relate metal accumulation to biological response).  Major differences in modeling approaches are attributed to various modeling assumptions (e.g., single versus multiple types of binding site on the organism) and specific calibration strategies that affected the selection of model parameters.  The models provided a reasonable description of additive (or nearly additive) toxicity for a number of individual toxicity test results.  Less-than-additive toxicity was more difficult to describe with the available models.  Because of limitations in the available datasets and the strong inter-relationships among the model parameters (log KM values, potency factors, toxicity response parameters), further evaluation of specific model assumptions and calibration strategies is needed.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry (SETAC)","doi":"10.1002/etc.2820","usgsCitation":"Farley, K.J., Meyer, J., Balistrieri, L.S., DeSchamphelaere, K., Iwasaki, Y., Janssen, C., Kamo, M., Lofts, S., Mebane, C.A., Naito, W., Ryan, A.C., Santore, R.C., and Tipping, E., 2015, Metal Mixture Modeling Evaluation project: 2. Comparison of four modeling approaches: Environmental Toxicology and Chemistry, v. 34, no. 4, p. 741-753, https://doi.org/10.1002/etc.2820.","productDescription":"13 p.","startPage":"741","endPage":"753","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056635","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472265,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/etc.2820","text":"External Repository"},{"id":329768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-24","publicationStatus":"PW","scienceBaseUri":"58088688e4b0f497e78e24d3","contributors":{"authors":[{"text":"Farley, Kevin J.","contributorId":175407,"corporation":false,"usgs":false,"family":"Farley","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":27565,"text":"Manhattan College","active":true,"usgs":false}],"preferred":false,"id":651038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Joe","contributorId":175408,"corporation":false,"usgs":false,"family":"Meyer","given":"Joe","email":"","affiliations":[{"id":27566,"text":"ARCADIS US","active":true,"usgs":false}],"preferred":false,"id":651039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":651037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeSchamphelaere, Karl","contributorId":175409,"corporation":false,"usgs":false,"family":"DeSchamphelaere","given":"Karl","email":"","affiliations":[{"id":27567,"text":"Ghent University","active":true,"usgs":false}],"preferred":false,"id":651040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwasaki, Yuichi","contributorId":175410,"corporation":false,"usgs":false,"family":"Iwasaki","given":"Yuichi","email":"","affiliations":[{"id":27568,"text":"Tokyo Institute of Tecnology","active":true,"usgs":false}],"preferred":false,"id":651041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Janssen, Colin","contributorId":175411,"corporation":false,"usgs":false,"family":"Janssen","given":"Colin","email":"","affiliations":[{"id":27567,"text":"Ghent University","active":true,"usgs":false}],"preferred":false,"id":651042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kamo, Masashi","contributorId":175412,"corporation":false,"usgs":false,"family":"Kamo","given":"Masashi","email":"","affiliations":[],"preferred":false,"id":651043,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lofts, Steve","contributorId":175413,"corporation":false,"usgs":false,"family":"Lofts","given":"Steve","affiliations":[],"preferred":false,"id":651044,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651045,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Naito, Wataru","contributorId":175563,"corporation":false,"usgs":false,"family":"Naito","given":"Wataru","email":"","affiliations":[],"preferred":false,"id":651433,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ryan, Adam C.","contributorId":175564,"corporation":false,"usgs":false,"family":"Ryan","given":"Adam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":651434,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Santore, Robert C.","contributorId":53206,"corporation":false,"usgs":true,"family":"Santore","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":651435,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tipping, Edward","contributorId":36405,"corporation":false,"usgs":true,"family":"Tipping","given":"Edward","email":"","affiliations":[],"preferred":false,"id":651436,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70140264,"text":"ofr20151013 - 2015 - Occurrence and distribution of fecal indicator bacteria and gene markers of pathogenic bacteria in Great Lakes tributaries, March-October 2011","interactions":[],"lastModifiedDate":"2018-09-12T17:12:19","indexId":"ofr20151013","displayToPublicDate":"2015-02-20T11:15:00","publicationYear":"2015","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":"2015-1013","title":"Occurrence and distribution of fecal indicator bacteria and gene markers of pathogenic bacteria in Great Lakes tributaries, March-October 2011","docAbstract":"<p>From March through October 2011, the U.S. Geological Survey (USGS), conducted a study to determine the frequency of occurrence of pathogen gene markers and densities of fecal indicator bacteria (FIB) in 22 tributaries to the Great Lakes. This project was funded as part of the Great Lakes Restoration Initiative (GLRI) and included sampling at 22 locations throughout 6 states that border the Great Lakes.</p>\n<p>A total of 177 environmental samples were collected at USGS streamgaging stations during both normal-flow and high-flow conditions and were analyzed by the Michigan Bacteriological Research Laboratory at the USGS Water Science Center in Lansing, Michigan.</p>\n<p>Water samples were analyzed for the presence of FIB concentrations (FIB; fecal coliform bacteria,&nbsp;<i>Escherichia coli</i>&nbsp;[<i>E. coli</i>], and enterococci) by using membrane filtration and serial dilution methods. The resulting enrichments from standard culturing of the samples were then analyzed by using polymerase chain reaction (PCR) to determine the occurrence of pathogen gene markers for&nbsp;<i>Shigella</i>&nbsp;species,&nbsp;<i>Campylobacter jejuni</i>&nbsp;and&nbsp;<i>coli</i>,&nbsp;<i>Salmonella</i>species, and pathogenic&nbsp;<i>E. coli</i>, including Shiga toxin-producing&nbsp;<i>E. coli</i>&nbsp;(STEC).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151013","collaboration":"Prepared in cooperation with the Great Lakes Restoration Initiative","usgsCitation":"Brennan, A.K., Johnson, H., Totten, A.R., and Duris, J.W., 2015, Occurrence and distribution of fecal indicator bacteria and gene markers of pathogenic bacteria in Great Lakes tributaries, March-October 2011: U.S. Geological Survey Open-File Report 2015-1013, v, 29 p., https://doi.org/10.3133/ofr20151013.","productDescription":"v, 29 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,{"id":70141305,"text":"70141305 - 2015 - Landsat-8 Operational Land Imager (OLI) radiometric performance on-orbit","interactions":[],"lastModifiedDate":"2017-01-18T10:05:02","indexId":"70141305","displayToPublicDate":"2015-02-20T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-8 Operational Land Imager (OLI) radiometric performance on-orbit","docAbstract":"<p><span>Expectations of the Operational Land Imager (OLI) radiometric performance onboard Landsat-8 have been met or exceeded. The calibration activities that occurred prior to launch provided calibration parameters that enabled ground processing to produce imagery that met most requirements when data were transmitted to the ground. Since launch, calibration updates have improved the image quality even more, so that all requirements are met. These updates range from detector gain coefficients to reduce striping and banding to alignment parameters to improve the geometric accuracy. This paper concentrates on the on-orbit radiometric performance of the OLI, excepting the radiometric calibration performance. Topics discussed in this paper include: signal-to-noise ratios that are an order of magnitude higher than previous Landsat missions; radiometric uniformity that shows little residual banding and striping, and continues to improve; a dynamic range that limits saturation to extremely high radiance levels; extremely stable detectors; slight nonlinearity that is corrected in ground processing; detectors that are stable and 100% operable; and few image artifacts.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs70202208","usgsCitation":"Morfitt, R., Barsi, J.A., Levy, R., Markham, B.L., Micijevic, E., Ong, L., Scaramuzza, P., and Vanderwerff, K., 2015, Landsat-8 Operational Land Imager (OLI) radiometric performance on-orbit: Remote Sensing, v. 7, no. 2, p. 2208-2237, https://doi.org/10.3390/rs70202208.","productDescription":"30 p.","startPage":"2208","endPage":"2237","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059104","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472266,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs70202208","text":"Publisher Index Page"},{"id":298068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-17","publicationStatus":"PW","scienceBaseUri":"54e85aabe4b02d776a67c5b3","contributors":{"authors":[{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":540661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":540662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Levy, Raviv","contributorId":131008,"corporation":false,"usgs":false,"family":"Levy","given":"Raviv","email":"","affiliations":[{"id":7209,"text":"SSAI / NASA / GSFC","active":true,"usgs":false}],"preferred":false,"id":540663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markham, Brian L.","contributorId":90482,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":540664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":540665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ong, Lawrence","contributorId":139287,"corporation":false,"usgs":false,"family":"Ong","given":"Lawrence","email":"","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":540666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scaramuzza, Pat 0000-0002-2616-8456 pscar@usgs.gov","orcid":"https://orcid.org/0000-0002-2616-8456","contributorId":3970,"corporation":false,"usgs":true,"family":"Scaramuzza","given":"Pat","email":"pscar@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":540667,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vanderwerff, Kelly kvanderwerff@usgs.gov","contributorId":4617,"corporation":false,"usgs":true,"family":"Vanderwerff","given":"Kelly","email":"kvanderwerff@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":540668,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70141367,"text":"70141367 - 2015 - C<sub>3</sub> and C<sub>4</sub> plant responses to increased temperatures and altered monsoonal precipitation in a cool desert on the Colorado Plateau, USA","interactions":[],"lastModifiedDate":"2015-04-01T09:45:28","indexId":"70141367","displayToPublicDate":"2015-02-20T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"C<sub>3</sub> and C<sub>4</sub> plant responses to increased temperatures and altered monsoonal precipitation in a cool desert on the Colorado Plateau, USA","docAbstract":"<p><span>Dryland ecosystems represent &gt;40&nbsp;% of the terrestrial landscape and support over two billion people; consequently, it is vital to understand how drylands will respond to climatic change. However, while arid and semiarid ecosystems commonly experience extremely hot and dry conditions, our understanding of how further temperature increases or altered precipitation will affect dryland plant communities remains poor. To address this question, we assessed plant physiology and growth at a long-term (7-year) climate experiment on the&nbsp;</span>Colorado Plateau<span>, USA, where the community is a mix of shallow-rooted C</span><span>3</span><span>&nbsp;and C</span><span>4</span><span>&nbsp;grasses and deep-rooted C</span><span>4</span><span>&nbsp;shrubs. The experiment maintained elevated-temperature treatments (+2 or +4&nbsp;&deg;C) in combination with altered summer monsoonal precipitation (+small frequent precipitation events or +large infrequent events). Increased temperature negatively affected photosynthesis and growth of the C</span><span>3</span><span>&nbsp;and C</span><span>4</span><span>&nbsp;grasses, but effects varied in their timing: +4&nbsp;&deg;C treatments negatively affected the C</span><span>3</span><span>&nbsp;grass early in the growing season of both years, while the negative effects of temperature on the C</span><span>4</span><span>&nbsp;grass were seen in the +2 and +4&nbsp;&deg;C treatments, but only during the late growing season of the drier year. Increased summer precipitation did not affect photosynthesis or biomass for any species, either in the year the precipitation was applied or the following year. Although previous research suggests dryland plants, and C</span><span>4</span><span>&nbsp;grasses in particular, may respond positively to elevated temperature, our findings from a cool desert show marked declines in C</span><span>3</span><span>&nbsp;and C</span><span>4</span><span>&nbsp;photosynthesis and growth, with temperature effects dependent on the degree of warming and growing-season precipitation.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-015-3235-4","usgsCitation":"Wertin, T., Reed, S.C., and Belnap, J., 2015, C<sub>3</sub> and C<sub>4</sub> plant responses to increased temperatures and altered monsoonal precipitation in a cool desert on the Colorado Plateau, USA: Oecologia, v. 177, no. 4, p. 997-1013, https://doi.org/10.1007/s00442-015-3235-4.","productDescription":"17 p.","startPage":"997","endPage":"1013","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058148","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":298066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.50048828124999,\n              38.20365531807149\n            ],\n            [\n              -110.50048828124999,\n              39.01491572891582\n            ],\n            [\n              -109.149169921875,\n              39.01491572891582\n            ],\n            [\n              -109.149169921875,\n              38.20365531807149\n            ],\n            [\n              -110.50048828124999,\n              38.20365531807149\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"177","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-13","publicationStatus":"PW","scienceBaseUri":"54e85aa7e4b02d776a67c5af","contributors":{"authors":[{"text":"Wertin, Timothy M.","contributorId":20642,"corporation":false,"usgs":true,"family":"Wertin","given":"Timothy M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":540733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":540734,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70141650,"text":"70141650 - 2015 - Likelihood analysis of spatial capture-recapture models for stratified or class structured populations","interactions":[],"lastModifiedDate":"2015-02-20T09:24:10","indexId":"70141650","displayToPublicDate":"2015-02-20T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Likelihood analysis of spatial capture-recapture models for stratified or class structured populations","docAbstract":"<p><span>We develop a likelihood analysis framework for fitting spatial capture-recapture (SCR) models to data collected on class structured or stratified populations. Our interest is motivated by the necessity of accommodating the problem of missing observations of individual class membership. This is particularly problematic in SCR data arising from DNA analysis of scat, hair or other material, which frequently yields individual identity but fails to identify the sex. Moreover, this can represent a large fraction of the data and, given the typically small sample sizes of many capture-recapture studies based on DNA information, utilization of the data with missing sex information is necessary. We develop the class structured likelihood for the case of missing covariate values, and then we address the scaling of the likelihood so that models with and without class structured parameters can be formally compared regardless of missing values. We apply our class structured model to black bear data collected in New York in which sex could be determined for only 62 of 169 uniquely identified individuals. The models containing sex-specificity of both the intercept of the SCR encounter probability model and the distance coefficient, and including a behavioral response are strongly favored by log-likelihood. Estimated population sex ratio is strongly influenced by sex structure in model parameters illustrating the importance of rigorous modeling of sex differences in capture-recapture models.</span><span><br /></span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES14-00148.1","usgsCitation":"Royle, J., Sutherland, C.S., Fuller, A.K., and Sun, C.C., 2015, Likelihood analysis of spatial capture-recapture models for stratified or class structured populations: Ecosphere, v. 6, no. 2, 11 p., https://doi.org/10.1890/ES14-00148.1.","productDescription":"11 p.","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060022","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472267,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es14-00148.1","text":"Publisher Index Page"},{"id":298061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-12","publicationStatus":"PW","scienceBaseUri":"54e85aace4b02d776a67c5b5","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":540944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sutherland, Christopher S.","contributorId":139375,"corporation":false,"usgs":false,"family":"Sutherland","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":540945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":540946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sun, Catherine C.","contributorId":70274,"corporation":false,"usgs":false,"family":"Sun","given":"Catherine","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":540947,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70141812,"text":"70141812 - 2015 - Coping with earthquakes induced by fluid injection","interactions":[],"lastModifiedDate":"2017-02-13T14:33:11","indexId":"70141812","displayToPublicDate":"2015-02-20T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Coping with earthquakes induced by fluid injection","docAbstract":"<p>Large areas of the United States long considered geologically stable with little or no detected seismicity have recently become seismically active. The increase in earthquake activity began in the mid-continent starting in 2001 (<i>1</i>) and has continued to rise. In 2014, the rate of occurrence of earthquakes with magnitudes (<i>M</i>) of 3 and greater in Oklahoma exceeded that in California (see the figure). This elevated activity includes larger earthquakes, several with <i>M</i> &gt; 5, that have caused significant damage (<i>2</i>,&nbsp;<i>3</i>). To a large extent, the increasing rate of earthquakes in the mid-continent is due to fluid-injection activities used in modern energy production (<i>1</i>, <i>4</i>, <i>5</i>). We explore potential avenues for mitigating effects of induced seismicity. Although the United States is our focus here, Canada, China, the UK, and others confront similar problems associated with oil and gas production, whereas quakes induced by geothermal activities affect Switzerland, Germany, and others.</p>","language":"English","publisher":"American Association for the Advancement of Science","publisherLocation":"New York, NY","doi":"10.1126/science.aaa0494","usgsCitation":"McGarr, A.F., Bekins, B., Burkardt, N., Dewey, J.W., Earle, P.S., Ellsworth, W.L., Ge, S., Hickman, S.H., Holland, A.F., Majer, E., Rubinstein, J.L., and Sheehan, A., 2015, Coping with earthquakes induced by fluid injection: Science, v. 347, no. 6224, p. 830-831, https://doi.org/10.1126/science.aaa0494.","productDescription":"2 p.","startPage":"830","endPage":"831","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059959","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":298084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298082,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencemag.org/content/347/6224/830"}],"volume":"347","issue":"6224","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54ec5d3be4b02d776a67da9c","contributors":{"authors":[{"text":"McGarr, Arthur F. 0000-0001-9769-4093 mcgarr@usgs.gov","orcid":"https://orcid.org/0000-0001-9769-4093","contributorId":3178,"corporation":false,"usgs":true,"family":"McGarr","given":"Arthur","email":"mcgarr@usgs.gov","middleInitial":"F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":541110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, Barbara 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":139407,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":541111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":541112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dewey, James W. 0000-0001-8838-2450 jdewey@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-2450","contributorId":5819,"corporation":false,"usgs":true,"family":"Dewey","given":"James","email":"jdewey@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":541113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Earle, Paul S. pearle@usgs.gov","contributorId":840,"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":false,"id":541114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":541115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ge, Shemin","contributorId":37366,"corporation":false,"usgs":true,"family":"Ge","given":"Shemin","affiliations":[],"preferred":false,"id":541116,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":541117,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Holland, Austin F.","contributorId":59243,"corporation":false,"usgs":false,"family":"Holland","given":"Austin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":541118,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Majer, Ernest","contributorId":139408,"corporation":false,"usgs":false,"family":"Majer","given":"Ernest","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":541119,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":541120,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sheehan, Anne","contributorId":139409,"corporation":false,"usgs":false,"family":"Sheehan","given":"Anne","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":541121,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70137256,"text":"sir20145239 - 2015 - Development of regression equations to revise estimates of historical streamflows for the St. Croix River at Stillwater, Minnesota (water years 1910-2011), and Prescott, Wisconsin (water years 1910-2007)","interactions":[],"lastModifiedDate":"2015-02-19T15:39:45","indexId":"sir20145239","displayToPublicDate":"2015-02-19T16:30:00","publicationYear":"2015","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":"2014-5239","title":"Development of regression equations to revise estimates of historical streamflows for the St. Croix River at Stillwater, Minnesota (water years 1910-2011), and Prescott, Wisconsin (water years 1910-2007)","docAbstract":"<p>A natural dam of glacial-era sediments at the confluence of the St. Croix and Mississippi Rivers forms Lake St. Croix, a riverine lake that comprises the lowest 25 miles of the St. Croix River. Historically, backwater effects from the Mississippi River prevented the use of traditional streamgages for collecting continuous streamflow data needed to calculate nutrient loads at the inlet to and outlet from Lake St. Croix at Stillwater, Minnesota and Prescott, Wisconsin, respectively. The development of index-velocity streamgages has enabled the measurement of continuous streamflow in backwater conditions using continuously measured velocities at the streamgage. Index-velocity streamgages were installed at Prescott, Wisconsin, and Stillwater, Minnesota, in 2007 and 2011, respectively.</p>\n<p>Continuous daily mean streamflow data from the new index-velocity streamgages, long-term upstream streamgages, and tributary streamgages were used to (1) develop regression equations that improve estimates of historical streamflow at Stillwater and Prescott, (2) evaluate the accuracies of new and previous equations used to estimate historical streamflows, and (3) compute and evaluate revised estimates of historical streamflows for Stillwater for water years 1910&ndash;2011 and for Prescott for water years 1910&ndash;2007. The abilities of previous and newly developed regression equations to accurately estimate streamflows were evaluated using Nash-Sutcliffe Efficiency (NSE) values. The NSE values at Stillwater improved from 0.90 to 0.98, and the NSE values at Prescott improved from 0.77 to 0.94.</p>\n<p>The new regression equations were used to calculate revised estimates of historical streamflows for Stillwater and Prescott starting in 1910 and ending when index-velocity streamgages were installed. Monthly, annual, 30-year, and period of record statistics were examined between previous and revised estimates of historical streamflows. The abilities of the new regression equations to estimate historical streamflows were evaluated by using percent differences to compare new estimates of historical daily streamflows to discrete streamflow measurements made at Stillwater and Prescott before the installation of index-velocity streamgages. Although less variability was observed between estimated and measured streamflows at Stillwater compared to Prescott, the percent difference data indicated that the new estimates closely approximated measured streamflows at both locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145239","collaboration":"Prepared in cooperation with the St. Croix Watershed Research Station","usgsCitation":"Ziegeweid, J.R., and Magdalene, S., 2015, Development of regression equations to revise estimates of historical streamflows for the St. Croix River at Stillwater, Minnesota (water years 1910-2011), and Prescott, Wisconsin (water years 1910-2007): U.S. Geological Survey Scientific Investigations Report 2014-5239, Report: vi, 23 p.; 3 Appendices, https://doi.org/10.3133/sir20145239.","productDescription":"Report: vi, 23 p.; 3 Appendices","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1909-10-01","temporalEnd":"2011-09-30","ipdsId":"IP-060060","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":298059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145239.jpg"},{"id":298056,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5239/pdf/sir14-5239.pdf","text":"Report","size":"1.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298055,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5239/"},{"id":298057,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5239/downloads/Appendix2.xlsx","text":"Appendix 2","size":"1.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 2"},{"id":298058,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5239/downloads/Appendix3.xlsx","text":"Appendix 3","size":"1.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Appendix 3"}],"country":"United States","state":"Minnesota, Wisconsin","city":"Prescott, Stillwater","otherGeospatial":"St. Croix River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.53759765625,\n              44.26093725039923\n            ],\n            [\n              -93.53759765625,\n              45.07352060670971\n            ],\n            [\n              -91.7138671875,\n              45.07352060670971\n            ],\n            [\n              -91.7138671875,\n              44.26093725039923\n            ],\n            [\n              -93.53759765625,\n              44.26093725039923\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e70929e4b02d776a66a006","contributors":{"authors":[{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magdalene, Suzanne","contributorId":138500,"corporation":false,"usgs":false,"family":"Magdalene","given":"Suzanne","email":"","affiliations":[{"id":12429,"text":"Science Museum of Minnesota","active":true,"usgs":false}],"preferred":false,"id":540949,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70138815,"text":"fs20153006 - 2015 - Assessment of unconventional oil and gas resources in the Jurassic Sargelu Formation of Iraq, 2014","interactions":[],"lastModifiedDate":"2015-02-19T14:05:25","indexId":"fs20153006","displayToPublicDate":"2015-02-19T15:00:00","publicationYear":"2015","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":"2015-3006","title":"Assessment of unconventional oil and gas resources in the Jurassic Sargelu Formation of Iraq, 2014","docAbstract":"<p>The U.S. Geological Survey (USGS) quantitatively assessed the potential for unconventional (continuous) oil and gas resources within the Jurassic Sargelu Formation of Iraq. Organic-rich shales of the Jurassic Sargelu Formation are one of the main petroleum source rocks for conventional fields in the Arabian Peninsula. The Sargelu Formation consists of marine shales, with as much as 10 weight percent sulfur-rich Type IIS organic matter, deposited in a relatively deep, anoxic Jurassic depocenter. The potential for volumes of oil retained in the Sargelu Formation source-reservoir rock system following oil migration, cracking, or degradation is the focus of this assessment. Conventional oil and gas resources of Iraq were assessed by the USGS in 2012.</p>\n<p>The USGS assessment methodology consists of a well-performance approach that recognizes the geologic variability within assessed reservoirs. For non-U.S. assessments, the USGS assesses shale-gas or shale-oil reservoirs that (1) contain greater than 2 weight percent total organic carbon (TOC), (2) are within the proper thermal maturity window for oil or gas generation, (3) have greater than 15-m thickness of organic-rich shale, and (4) contain Type I or II organic matter. These specific USGS criteria when applied to any given shale-oil or shale-gas reservoir might significantly reduce the potential resource assessment area compared to maps made with greater than 1 weight percent TOC.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153006","collaboration":"National and Global Petroleum Resource Assessment Project","usgsCitation":"Schenk, C.J., Pitman, J.K., Charpentier, R., Klett, T., Gaswirth, S., Brownfield, M.E., Leathers, H., Mercier, T.J., and Tennyson, M., 2015, Assessment of unconventional oil and gas resources in the Jurassic Sargelu Formation of Iraq, 2014: U.S. Geological Survey Fact Sheet 2015-3006, 2 p., https://doi.org/10.3133/fs20153006.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061306","costCenters":[{"id":164,"text":"Central Energy Resources Science 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,{"id":70141469,"text":"70141469 - 2015 - High influx of carbon in walls of agglutinated foraminifers during the Permian-Triassic transition in  global oceans","interactions":[],"lastModifiedDate":"2015-04-01T09:43:48","indexId":"70141469","displayToPublicDate":"2015-02-19T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2020,"text":"International Geology Review","active":true,"publicationSubtype":{"id":10}},"title":"High influx of carbon in walls of agglutinated foraminifers during the Permian-Triassic transition in  global oceans","docAbstract":"<p><span>The&nbsp;</span><span>Permian</span><span>&ndash;</span><span>Triassic</span><span>&nbsp;mass extinction is postulated to be related to the rapid volcanism that produced the Siberian flood basalt (Traps). Unrelated volcanic eruptions producing several episodes of ash falls synchronous with the Siberian Traps are found in South China and Australia. Such regional eruptions could have caused wildfires, burning of coal deposits, and the dispersion of coal fly ash. These eruptions introduced a major&nbsp;</span><span>influx</span><span>&nbsp;of&nbsp;</span><span>carbon</span><span>&nbsp;into the atmosphere and&nbsp;</span><span>oceans</span><span>&nbsp;that can be recognized in the&nbsp;</span><span>wall</span><span>structure of foraminiferal tests present in survival populations in the boundary interval strata. Analysis of free specimens of&nbsp;</span><span>foraminifers</span><span>&nbsp;recovered from residues of conodont samples taken at a</span><span>Permian</span><span>&ndash;</span><span>Triassic</span><span>&nbsp;boundary section at Lung Cam in northern Vietnam has revealed the presence of a significant amount of elemental&nbsp;</span><span>carbon</span><span>, along with oxygen and silica, in their test&nbsp;</span><span>wall</span><span>&nbsp;structure, but an absence of calcium&nbsp;</span><span>carbonate</span><span>. These&nbsp;</span><span>foraminifers</span><span>, identified as&nbsp;</span><i>Rectocornuspira kalhori</i><span>,&nbsp;</span><i>Cornuspira mahajeri</i><span>, and&nbsp;</span><i>Earlandia</i><span>&nbsp;spp. and whose tests previously were considered to be calcareous, are confirmed to be&nbsp;</span><span>agglutinated</span><span>, and are now referred to as&nbsp;</span><i>Ammodiscus kalhori</i><span>&nbsp;and&nbsp;</span><i>Hyperammina deformis</i><span>. Measurement of the&nbsp;</span><sup>207</sup><span>Pb/</span><sup>204</sup><span>Pb ratios in pyrite clusters attached to the foraminiferal tests confirmed that these tests inherited the Pb in their outer layer from&nbsp;</span><span>carbon</span><span>-contaminated seawater. We conclude that the source of the&nbsp;</span><span>carbon</span><span>&nbsp;could have been either&nbsp;</span><span>global</span><span>&nbsp;coal fly ash or forest fire-dispersed&nbsp;</span><span>carbon</span><span>, or a combination of both, that was dispersed into the Palaeo-Tethys&nbsp;</span><span>Ocean</span><span>&nbsp;immediately after the end-</span><span>Permian</span><span>&nbsp;extinction event.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00206814.2015.1010610","usgsCitation":"Nestell, G.P., Nestell, M.K., Ellwood, B.B., Wardlaw, B.R., Basu, A.R., Ghosh, N., Phuong Lan, L.T., Rowe, H.D., Hunt, A.G., Tomkin, J.H., and Ratcliffe, K.T., 2015, High influx of carbon in walls of agglutinated foraminifers during the Permian-Triassic transition in  global oceans: International Geology Review, v. 57, no. 4, p. 411-427, https://doi.org/10.1080/00206814.2015.1010610.","productDescription":"17 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Arlington","active":true,"usgs":false}],"preferred":false,"id":540835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellwood, Brooks B.","contributorId":44814,"corporation":false,"usgs":false,"family":"Ellwood","given":"Brooks","email":"","middleInitial":"B.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":540836,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wardlaw, Bruce R. bwardlaw@usgs.gov","contributorId":266,"corporation":false,"usgs":true,"family":"Wardlaw","given":"Bruce","email":"bwardlaw@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":540833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Basu, Asish 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,{"id":70141618,"text":"70141618 - 2015 - Novel Eurasian highly pathogenic avian influenza A H5 viruses in wild birds, Washington, USA, 2014","interactions":[],"lastModifiedDate":"2020-08-26T16:21:35.038799","indexId":"70141618","displayToPublicDate":"2015-02-19T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Novel Eurasian highly pathogenic avian influenza A H5 viruses in wild birds, Washington, USA, 2014","docAbstract":"<p><span>Novel Eurasian lineage avian influenza A(H5N8) virus has spread rapidly and globally since January 2014. In December 2014, H5N8 and reassortant H5N2 viruses were detected in wild birds in Washington, USA, and subsequently in backyard birds. When they infect commercial poultry, these highly pathogenic viruses pose substantial trade issues.</span></p>","language":"English","publisher":"Centers for Disease Control and Prevention","publisherLocation":"Atlanta, GA","doi":"10.3201/eid2105.142020","usgsCitation":"Ip, S., Kim Torchetti, M., Crespo, R., Kohrs, P., DeBruyn, P., Mansfield, K.G., Baszler, T., Badcoe, L., Bodenstein, B., Shearn-Bochsler, V.I., Killian, M.L., Pederson, J.C., Hines, N., Gidlewski, T., DeLiberto, T., and Sleeman, J.M., 2015, Novel Eurasian highly pathogenic avian influenza A H5 viruses in wild birds, Washington, USA, 2014: Emerging Infectious Diseases, v. 21, no. 5, p. 886-890, https://doi.org/10.3201/eid2105.142020.","productDescription":"5 p.","startPage":"886","endPage":"890","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061900","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472268,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid2105.142020","text":"Publisher Index Page"},{"id":298048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.94775390625,\n              45.598665689820656\n            ],\n            [\n              -123.94775390625,\n              48.99463598353408\n            ],\n            [\n              -117.00439453125,\n              48.99463598353408\n            ],\n            [\n              -117.00439453125,\n              45.598665689820656\n            ],\n            [\n              -123.94775390625,\n              45.598665689820656\n            ]\n          ]\n    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,{"id":70141501,"text":"70141501 - 2015 - Hydroecological condition and potential for aquaculture in lakes of the arid region of Khorezm, Uzbekistan","interactions":[],"lastModifiedDate":"2015-02-19T09:59:50","indexId":"70141501","displayToPublicDate":"2015-02-19T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Hydroecological condition and potential for aquaculture in lakes of the arid region of Khorezm, Uzbekistan","docAbstract":"<p><span>With &gt;400 small (&lt;1&nbsp;ha) lakes, the arid Khorezm Province in Uzbekistan may be well-suited for aquaculture production. Developing water resources to provide a local food supply could increase fish consumption while improving the rural economy. Hydroecological (biological and physical) and chemical characteristics (including legacy pesticides &Sigma;DDT and &Sigma;HCH) of four representative drainage lakes in Khorezm from 2006 to 2008 were analyzed for the lakes&rsquo; capability to support healthy fish populations. Lake characteristics were categorized as &ldquo;optimal&rdquo; (having little or no effect on growth and development), &ldquo;tolerable&rdquo; (corresponding to chronic or sub-lethal toxicity) and &ldquo;lethal&rdquo; (corresponding to acute toxicity). Results indicate that three lakes are likely well-suited for raising fish species, with water quality meeting World Bank aquaculture guidelines. However, the fourth lake often had salinity concentrations&nbsp;&gt;&nbsp;optimal levels for local fish species. Pesticide concentrations in water of all four lakes were within tolerable aquaculture ranges. Although water &Sigma;DDT concentrations were &gt;optimal limits, results from chemical analysis of fish tissues and semi-permeable membrane devices indicated that study lake &Sigma;DDT concentrations were not accumulating in fish or posing a human health threat. Land and water management to maintain adequate lake water quality are imperative for sustaining fish populations for human consumption.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2015.02.012","usgsCitation":"Crootof, A., Mullabaev, N., Saito, L., Atwell, L., Rosen, M.R., Bekchonova, M., Ginatullina, E., Scott, J., Chandra, S., Nishonov, B., Lamers, J.P., and Fayzieva, D., 2015, Hydroecological condition and potential for aquaculture in lakes of the arid region of Khorezm, Uzbekistan: Journal of Arid Environments, v. 117, no. 1, p. 37-46, https://doi.org/10.1016/j.jaridenv.2015.02.012.","productDescription":"10 p.","startPage":"37","endPage":"46","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044122","costCenters":[{"id":509,"text":"Office of the Associate Director for 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Reno","active":true,"usgs":false}],"preferred":false,"id":540884,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chandra, Sudeep","contributorId":33195,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":540885,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nishonov, Bakhriddin","contributorId":15860,"corporation":false,"usgs":false,"family":"Nishonov","given":"Bakhriddin","email":"","affiliations":[],"preferred":false,"id":540886,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lamers, John P.A.","contributorId":10249,"corporation":false,"usgs":false,"family":"Lamers","given":"John","email":"","middleInitial":"P.A.","affiliations":[],"preferred":false,"id":540887,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fayzieva, 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,{"id":70113702,"text":"70113702 - 2015 - Reducing soluble phosphorus in dairy effluents through application of mine drainage residuals","interactions":[],"lastModifiedDate":"2015-04-03T15:27:49","indexId":"70113702","displayToPublicDate":"2015-02-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1281,"text":"Communications in Soil Science and Plant Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Reducing soluble phosphorus in dairy effluents through application of mine drainage residuals","docAbstract":"<p><span>Three different dairy manure wastewater effluent samples were amended with mine drainage residuals (MDR) to evaluate the suitability of MDR for sequestration of phosphorus (P). Geochemical modeling of the manure wastewater compositions indicated that partially soluble P-bearing minerals including hydroxyapatite, octacalcium phosphate, and vivianite were all oversaturated in each of the manure wastewater samples. Initial MDR amendment test results indicated that these partially soluble P minerals suspended in the wastewater replenished P in the water phase as it was sorbed by the MDR samples. Further investigations revealed that the MDR samples were effective in decreasing soluble P when the amended manure was tested using the water-extractable P procedure. Under these conditions, up to 90 percent of the soluble P in the manure was converted to a sorbed, water-insoluble state. Water contamination and large-scale validation tests of the process were also conducted.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00103624.2014.998339","usgsCitation":"Sibrell, P.L., Penn, C.J., and Hedin, R.S., 2015, Reducing soluble phosphorus in dairy effluents through application of mine drainage residuals: Communications in Soil Science and Plant Analysis, v. 46, no. 5, p. 545-563, https://doi.org/10.1080/00103624.2014.998339.","productDescription":"19 p.","startPage":"545","endPage":"563","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057556","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":299372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"5","noUsgsAuthors":false,"publicationDate":"2015-02-19","publicationStatus":"PW","scienceBaseUri":"551fb9c1e4b027f0aee3bb29","contributors":{"authors":[{"text":"Sibrell, Philip L. psibrell@usgs.gov","contributorId":2006,"corporation":false,"usgs":true,"family":"Sibrell","given":"Philip","email":"psibrell@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":518979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penn, Chad J.","contributorId":116060,"corporation":false,"usgs":false,"family":"Penn","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":518980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hedin, Robert S.","contributorId":118146,"corporation":false,"usgs":false,"family":"Hedin","given":"Robert","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":518981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70141438,"text":"70141438 - 2015 - Collaborative decision-analytic framework to maximize resilience of tidal marshes to climate change","interactions":[],"lastModifiedDate":"2017-10-30T11:07:49","indexId":"70141438","displayToPublicDate":"2015-02-18T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Collaborative decision-analytic framework to maximize resilience of tidal marshes to climate change","docAbstract":"<p><span>Decision makers that are responsible for stewardship of natural resources face many challenges, which are complicated by uncertainty about impacts from climate change, expanding human development, and intensifying land uses. A systematic process for evaluating the social and ecological risks, trade-offs, and cobenefits associated with future changes is critical to maximize resilience and conserve ecosystem services. This is particularly true in coastal areas where human populations and landscape conversion are increasing, and where intensifying storms and sea-level rise pose unprecedented threats to coastal ecosystems. We applied collaborative decision analysis with a diverse team of stakeholders who preserve, manage, or restore tidal marshes across the San Francisco Bay estuary, California, USA, as a case study. Specifically, we followed a structured decision-making approach, and we using expert judgment developed alternative management strategies to increase the capacity and adaptability to manage tidal marsh resilience while considering uncertainties through 2050. Because sea-level rise projections are relatively confident to 2050, we focused on uncertainties regarding intensity and frequency of storms and funding. Elicitation methods allowed us to make predictions in the absence of fully compatible models and to assess short- and long-term trade-offs. Specifically we addressed two questions. (1) Can collaborative decision analysis lead to consensus among a diverse set of decision makers responsible for environmental stewardship and faced with uncertainties about climate change, funding, and stakeholder values? (2) What is an optimal strategy for the conservation of tidal marshes, and what strategy is robust to the aforementioned uncertainties? We found that when taking this approach, consensus was reached among the stakeholders about the best management strategies to maintain tidal marsh integrity. A Bayesian decision network revealed that a strategy considering sea-level rise and storms explicitly in wetland restoration planning and designs was optimal, and it was robust to uncertainties about management effectiveness and budgets. We found that strategies that avoided explicitly accounting for future climate change had the lowest expected performance based on input from the team. Our decision-analytic framework is sufficiently general to offer an adaptable template, which can be modified for use in other areas that include a diverse and engaged stakeholder group.</span></p>","language":"English","publisher":"Resilience Alliance Publications","doi":"10.5751/ES-07018-200130","usgsCitation":"Thorne, K.M., Mattsson, B., Takekawa, J.Y., Cummings, J., Crouse, D., Block, G., Bloom, V., Gerhart, M., Goldbeck, S., Huning, B., Sloop, C., Stewart, M., Taylor, K., and Valoppi, L., 2015, Collaborative decision-analytic framework to maximize resilience of tidal marshes to climate change: Ecology and Society, v. 20, no. 1, 25 p.; Article 30, https://doi.org/10.5751/ES-07018-200130.","productDescription":"25 p.; Article 30","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-061625","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research 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,{"id":70139795,"text":"ds920 - 2015 - Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June and September 2014","interactions":[],"lastModifiedDate":"2015-02-18T13:42:20","indexId":"ds920","displayToPublicDate":"2015-02-18T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"920","title":"Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June and September 2014","docAbstract":"<p>Previous investigations indicate that concentrations of chlorinated volatile organic compounds (CVOCs) are substantial in groundwater beneath the 9-acre former landfill at Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington. The U.S. Geological Survey has continued to monitor groundwater geochemistry to ensure that conditions remain favorable for contaminant biodegradation at the site. This report presents groundwater geochemical and selected CVOC data collected at Operable Unit 1 by the U.S. Geological Survey during June 23&ndash;25 and September 4, 2014, in support of long-term monitoring for natural attenuation. Groundwater samples were collected from 13 wells and 9 piezometers, as well as from 10 shallow groundwater passive-diffusion sampling sites in the nearby marsh. Samples from all wells and piezometers were analyzed for oxidation-reduction (redox) sensitive constituents and dissolved gases. Samples from all piezometers and four wells also were analyzed for CVOCs, as were all samples from the passive-diffusion sampling sites. In 2014, concentrations of redox-sensitive constituents measured at all wells and piezometers were consistent with those measured in previous years, with dissolved oxygen concentrations all less than 1 milligram per liter; little to no detectable nitrate; abundant dissolved manganese, iron, and methane; and commonly detected sulfide. In the upper aquifer of the northern plantation in 2014, CVOC concentrations at all piezometers were similar to those measured in previous years, and concentrations of the reductive dechlorination byproducts ethane and ethene were slightly lower or the same as concentrations measured in 2013. In the upper aquifer of the southern plantation, CVOC concentrations measured in piezometers during 2014 continued to be variable as in previous years, often high, and reductive dechlorination byproducts were detected in one of the three wells and in all but two piezometers. Beneath the marsh adjacent to the southern plantation, chloroethene concentrations measured in 2014 continued to vary spatially and temporally, and were high. Trends for total CVOC concentration continued to increase at the historically most contaminated passive‑diffusion sampler sites (S-4, S-4B, and S-5). For the intermediate aquifer in 2014, concentrations of reductive dechlorination byproducts ethane and ethene and CVOCs were consistent with those measured in previous years.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds920","collaboration":"Prepared in cooperation with Department of the Navy, Naval Facilities Engineering Command, Northwest","usgsCitation":"Huffman, R.L., 2015, Groundwater geochemical and selected volatile organic compound data, Operable Unit 1, Naval Undersea Warfare Center, Division Keyport, Washington, June and September 2014: U.S. Geological Survey Data Series 920, iv, 50 p., https://doi.org/10.3133/ds920.","productDescription":"iv, 50 p.","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-062663","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":298034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds920.jpg"},{"id":298033,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0920/pdf/ds920.pdf","text":"Report","size":"1.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298030,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0920/"}],"projection":"Washington State Plane, North Zone","datum":"North American Datum of 1927","country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.63437271118164,\n              47.689312506350575\n            ],\n            [\n              -122.63437271118164,\n              47.706527200903395\n            ],\n            [\n              -122.61308670043945,\n              47.706527200903395\n            ],\n            [\n              -122.61308670043945,\n              47.689312506350575\n            ],\n            [\n              -122.63437271118164,\n              47.689312506350575\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54e5b7b3e4b02d776a669ea1","contributors":{"authors":[{"text":"Huffman, Raegan L. 0000-0001-8523-5439 rhuffman@usgs.gov","orcid":"https://orcid.org/0000-0001-8523-5439","contributorId":1638,"corporation":false,"usgs":true,"family":"Huffman","given":"Raegan","email":"rhuffman@usgs.gov","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":540777,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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