{"pageNumber":"1191","pageRowStart":"29750","pageSize":"25","recordCount":184937,"records":[{"id":70193502,"text":"70193502 - 2015 - Soil formation: Chapter 6","interactions":[],"lastModifiedDate":"2017-11-29T14:46:29","indexId":"70193502","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Soil formation: Chapter 6","docAbstract":"<p><span>Soil formation reflects the complex interaction of many factors, among the most important of which are (i) the nature of the soil parent material, (ii) regional climate, (iii) organisms, including humans, (iv) topography and (v) time. These processes operate in Earth's critical zone; the thin veneer of our planet where rock meets life. Understanding the operation of these soil-forming factors requires an interdisciplinary approach and is a necessary predicate to charactering soil processes and functions, mitigating soil degradation and adapting soil management to environmental change. In this chapter, we discuss how these soil-forming factors operate both singly and in concert in natural and human modified environments. We emphasize the role that soil organic matter plays in these processes to provide context for understanding the benefits that it bestows on humanity.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Soil carbon: Science, management and policy for multiple benefits","language":"English","publisher":"CABI","doi":"10.1079/9781780645322.0082","usgsCitation":"Goldhaber, M.B., and Banwart, S.A., 2015, Soil formation: Chapter 6, chap. <i>of</i> Soil carbon: Science, management and policy for multiple benefits, p. 82-97, https://doi.org/10.1079/9781780645322.0082.","productDescription":"16 p.","startPage":"82","endPage":"97","ipdsId":"IP-046328","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":349563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-03","publicationStatus":"PW","scienceBaseUri":"5a60fe3be4b06e28e9c252d1","contributors":{"authors":[{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banwart, Steven A.","contributorId":199483,"corporation":false,"usgs":false,"family":"Banwart","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":719263,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193365,"text":"70193365 - 2015 - Extreme variation of sulfur isotopic compositions in pyrite from the Qiuling sediment-hosted gold deposit, West Qinling orogen, central China: An in situ SIMS study with implications for the source of sulfur","interactions":[],"lastModifiedDate":"2017-11-01T09:38:40","indexId":"70193365","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Extreme variation of sulfur isotopic compositions in pyrite from the Qiuling sediment-hosted gold deposit, West Qinling orogen, central China: An in situ SIMS study with implications for the source of sulfur","docAbstract":"High spatial resolution textural (scanning electron microscope (SEM)), chemical (electron microprobe (EMP)) and laser ablation-inductively coupled plasma-mass spec- trometry (LA-ICP-MS)), and sulfur isotopic (secondary ion mass spectrometry (SIMS)) analyses of pyrite from the Qiuling sediment-hosted gold deposit (232±4 Ma) in the West Qinling orogen, central China were conducted to distinguish pyrite types and gain insights into the source and evolution of sulfur in hydrothermal fluids. The results reveal an enormous variation (−27.1 to +69.6‰) in sulfur isotopic composition of pyrite deposited during three paragenetic stages. Pre-ore framboidal pyrite, which is characterized by low concentra- tions of As, Au, Cu, Co, and Ni, has negative δ34S values of −27.1 to −7.6‰ that are interpreted in terms of bacterial re- duction of marine sulfate during sedimentation and diagenesis of the Paleozoic carbonate and clastic sequences, the predom- inant lithologies in the deposit area, and the most important hosts of many sediment-hosted gold deposits throughout the West Qinling orogen. The ore-stage hydrothermal pyrite con- tains high concentrations of Au, As, Cu, Sb, Tl, and Bi and hasa relatively narrow range of positive δ34S values ranging from +8.1 to +15.2‰. The sulfur isotope data are comparable to those of ore pyrite from many Triassic orogenic gold deposits and Paleozoic sedimentary exhalative (SEDEX) Pb-Zn de- posits in the West Qinling orogen, both being hosted mainly in the Devonian sequence. This similarity indicates that sulfur, responsible for the auriferous pyrite at Qiuling, was largely derived from the metamorphic devolatization of Paleozoic marine sedimentary rocks. Post-ore-stage pyrite, which is sig- nificantly enriched in Co and Ni but depleted in Au and As, has unusually high δ34S values ranging from +37.4 to +69.6 ‰, that are interpreted to result from thermochemical reduc- tion of evaporite sulfates in underlying Cambrian sedimentary rocks with very high δ34S values. The variations in Au content and sulfur isotopic compositions across a single ore-stage py- rite grain may reflect displacement of indigenous groundwater with low δ34S values by auriferous metamorphic fluids with high δ34S values. The very low-grade metamorphism of the host rocks and the metamorphic derivation of sulfur for the ore pyrite indicate that the Qiuling sediment-hosted gold deposit is an epizonal manifestation of an orogenic gold system in the West Qinling orogen.","language":"English","publisher":"Springer","doi":"10.1007/s00126-015-0597-9","usgsCitation":"Chen, L., Li, X., Li, J., Hofstra, A.H., Liu, Y., and Koenig, A.E., 2015, Extreme variation of sulfur isotopic compositions in pyrite from the Qiuling sediment-hosted gold deposit, West Qinling orogen, central China: An in situ SIMS study with implications for the source of sulfur: Mineralium Deposita, v. 50, no. 6, p. 643-656, https://doi.org/10.1007/s00126-015-0597-9.","productDescription":"14 p.","startPage":"643","endPage":"656","ipdsId":"IP-061524","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science 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PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-19","publicationStatus":"PW","scienceBaseUri":"59fadd24e4b0531197b13cb8","contributors":{"authors":[{"text":"Chen, Lei","contributorId":199376,"corporation":false,"usgs":false,"family":"Chen","given":"Lei","email":"","affiliations":[],"preferred":false,"id":718853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Xian-hua","contributorId":199377,"corporation":false,"usgs":false,"family":"Li","given":"Xian-hua","email":"","affiliations":[],"preferred":false,"id":718854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Jian-wei","contributorId":199378,"corporation":false,"usgs":false,"family":"Li","given":"Jian-wei","email":"","affiliations":[],"preferred":false,"id":718855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 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,{"id":70173867,"text":"70173867 - 2015 - Testing assumptions for conservation of migratory shorebirds and coastal managed wetlands","interactions":[],"lastModifiedDate":"2016-06-15T15:41:38","indexId":"70173867","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Testing assumptions for conservation of migratory shorebirds and coastal managed wetlands","docAbstract":"<p id=\"Par1\" class=\"Para\">Managed wetlands provide critical foraging and roosting habitats for shorebirds during migration; therefore, ensuring their availability is a priority action in shorebird conservation plans. Contemporary shorebird conservation plans rely on a number of assumptions about shorebird prey resources and migratory behavior to determine stopover habitat requirements. For example, the US Shorebird Conservation Plan for the Southeast-Caribbean region assumes that average benthic invertebrate biomass in foraging habitats is 2.4&nbsp;g dry mass&nbsp;m<sup><span>&minus;2</span></sup>&nbsp;and that the dominant prey item of shorebirds in the region is Chironomid larvae. For effective conservation and management, it is important to test working assumptions and update predictive models that are used to estimate habitat requirements. We surveyed migratory shorebirds and sampled the benthic invertebrate community in coastal managed wetlands of South Carolina. We sampled invertebrates at three points in time representing early, middle, and late stages of spring migration, and concurrently surveyed shorebird stopover populations at approximately 7-day intervals throughout migration. We used analysis of variance by ranks to test for temporal variation in invertebrate biomass and density, and we used a model based approach (linear mixed model and Monte Carlo simulation) to estimate mean biomass and density. There was little evidence of a temporal variation in biomass or density during the course of spring shorebird migration, suggesting that shorebirds did not deplete invertebrate prey resources at our site. Estimated biomass was 1.47&nbsp;g dry mass m<sup><span>&minus;2</span></sup>&nbsp;(95&nbsp;% credible interval 0.13&ndash;3.55), approximately 39&nbsp;% lower than values used in the regional shorebird conservation plan. An additional 4728&nbsp;ha (a 63&nbsp;% increase) would be required if habitat objectives were derived from biomass levels observed in our study. Polychaetes, especially&nbsp;<i class=\"EmphasisTypeItalic \">Laeonereis culveri</i>(2569 individuals m<sup><span>&minus;2</span></sup>), were the most abundant prey in foraging habitats at our site. Polychaetes have lower caloric content than levels assumed in the regional plan; when lower caloric content and lower biomass levels are used to determine habitat objectives, an additional 6395&nbsp;ha would be required (86&nbsp;% increase). Shorebird conservation and management plans would benefit from considering the uncertainty in parameters used to derive habitat objectives, especially biomass and caloric content of prey resources. Iterative testing of models that are specific to the planning region will provide rapid advances for management and conservation of migratory shorebirds and coastal managed wetlands.</p>","language":"English","publisher":"Springer Link","publisherLocation":"New York","doi":"10.1007/s11273-015-9477-4","usgsCitation":"Collazo, J., James Lyons, and Herring, G., 2015, Testing assumptions for conservation of migratory shorebirds and coastal managed wetlands: Wetlands Ecology and Management, 14 p., https://doi.org/10.1007/s11273-015-9477-4.","productDescription":"14 p.","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060239","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-28","publicationStatus":"PW","scienceBaseUri":"57627c38e4b07657d19a6a17","chorus":{"doi":"10.1007/s11273-015-9477-4","url":"http://dx.doi.org/10.1007/s11273-015-9477-4","publisher":"Springer Nature","authors":"Lyons James E., Collazo Jaime A., Herring Garth","journalName":"Wetlands Ecology and Management","publicationDate":"12/28/2015","auditedOn":"7/29/2016","publiclyAccessibleDate":"12/28/2015"},"contributors":{"authors":[{"text":"Collazo, Jaime jaime_collazo@usgs.gov","contributorId":2613,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"jaime_collazo@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":638862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James Lyons","contributorId":149502,"corporation":false,"usgs":false,"family":"James Lyons","affiliations":[{"id":17753,"text":"U.S. Fish and Wildlife Service, Division of Bird Habitat Conservation","active":true,"usgs":false}],"preferred":false,"id":639135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":639136,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192407,"text":"70192407 - 2015 - Using monitoring data to map amphibian breeding hotspots and describe wetland vulnerability in Yellowstone and Grand Teton National Parks","interactions":[],"lastModifiedDate":"2017-10-25T13:24:18","indexId":"70192407","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Using monitoring data to map amphibian breeding hotspots and describe wetland vulnerability in Yellowstone and Grand Teton National Parks","docAbstract":"Amphibians have been selected as a “vital sign” by several National Park Service (NPS) Inventory and Monitoring (I&M) networks. An eight-year amphibian monitoring data set provided opportunities to examine spatial and temporal patterns in amphibian breeding richness and wetland desiccation across Yellowstone and Grand Teton National Parks. Amphibian breeding richness was variable across both parks and only four of 31 permanent monitoring catchments contained all four widely distributed species. Annual breeding richness was also variable through time and fluctuated by as much as 75% in some years and catchments. Wetland desiccation was also documented across the region, but alone did not explain variations in amphibian richness. High annual variability across the region emphasizes the need for multiple years of monitoring to accurately describe amphibian richness and wetland desiccation dynamics.","language":"English","publisher":"National Park Service","usgsCitation":"Ray, A.M., Legg, K., Sepulveda, A.J., Hossack, B.R., and Patla, D., 2015, Using monitoring data to map amphibian breeding hotspots and describe wetland vulnerability in Yellowstone and Grand Teton National Parks: Park Science, v. 31, no. 1, p. 112-117.","productDescription":"6 p.","startPage":"112","endPage":"117","ipdsId":"IP-056831","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":347365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347362,"type":{"id":15,"text":"Index Page"},"url":"https://www.nature.nps.gov/ParkScience/index.cfm?ArticleID=691"}],"country":"United States","state":"Idaho, Montana, 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,{"id":70193220,"text":"70193220 - 2015 - Alamo impact olistoliths in Antler orogenic foreland, Warm Springs–Milk Spring area, Hot Creek Range, central Nevada","interactions":[],"lastModifiedDate":"2022-01-24T15:34:39.693256","indexId":"70193220","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Alamo impact olistoliths in Antler orogenic foreland, Warm Springs–Milk Spring area, Hot Creek Range, central Nevada","docAbstract":"<p>The 45 km<sup>2</sup><span>&nbsp;</span>map area is situated at the south end of the Hot Creek Range in central Nevada, ~16 km east of the buried leading edge of the Mississippian Roberts Mountains thrust. Three eastward-trending left-slip faults divide the area into four structural blocks. The southernmost block is occupied solely by upper Oligocene volcanic rocks. The narrow northernmost block, now occupied surficially by valley fill and volcanic rocks, represents the south end of the main part of the Hot Creek Range, from which the study area is offset. The middle two blocks display different aspects of the eastward-traveled outer crater rim created by the ca. 382 Ma (early Late Devonian, middle Frasnian) Alamo impact.</p><p>The Alamo impact was produced by a 5-km-diameter bolide, most likely a comet, which excavated a transient submarine crater 44–65 km in diameter. Comparison of thin (8–12 m) Alamo Breccia deposits in the northern of the middle two blocks with a more easterly, thick (35–42 m) Alamo deposit in the main Hot Creek Range, 4 km north of the map area, suggests that these blocks traveled many kilometers eastward. The northern of the middle two blocks contains a large olistolith capped by the thin breccia, whereas the southern block contains a larger olistolith lacking an Alamo Breccia cap.</p><p>Three Devonian pulses of the Antler orogeny are better documented in the chapter on the Bisoni-McKay area. Here, the first Antler pulse in latest Middle Devonian time is obscured within an ~9 m.y. hiatus enlarged by excavation of the Alamo impact crater. The second Antler pulse is recorded by the ~4 m.y. hiatus produced by the regional unconformity between the lower and upper members of the Woodruff Formation. The third Antler pulse is documented by an ~8 m.y. regional hiatus between the Mississippian Webb Formation and Upper Devonian Woodruff Formation. In previous papers, we had interpreted this pulse to initiate the Antler orogeny.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Unusual central Nevada geologic terranes produced by Late Devonian antler orogeny and Alamo impact","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.2517(02)","usgsCitation":"Poole, F.G., and Sandberg, C., 2015, Alamo impact olistoliths in Antler orogenic foreland, Warm Springs–Milk Spring area, Hot Creek Range, central Nevada, chap. <i>of</i> Unusual central Nevada geologic terranes produced by Late Devonian antler orogeny and Alamo impact, p. 39-104, https://doi.org/10.1130/2015.2517(02).","productDescription":"66 p.","startPage":"39","endPage":"104","ipdsId":"IP-064956","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science 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,{"id":70191674,"text":"70191674 - 2015 - User-interactive sediment budgets in a browser: A web application for river science and management","interactions":[],"lastModifiedDate":"2018-02-20T13:56:00","indexId":"70191674","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"User-interactive sediment budgets in a browser: A web application for river science and management","title":"User-interactive sediment budgets in a browser: A web application for river science and management","docAbstract":"Decision-support tools providing accurate, near-real-time data and user-friendly interactive visualizations are of critical value to resource managers tasked with planning and carrying out management programs in their domain. Creating a system to continuously aggregate datasets and recompute derived values is difficult and error-prone when attempted by hand. To address this need for river managers in support of sediment budgeting, we have created a web-based, open source suite of tools and processes that 1) continually aggregate data of interest, 2) recompute derived values based upon latest available data, and 3) update visualizations on-demand, providing simple front-end tools available to resource managers and the public. For the first time, engineers and scientists can access these tools freely over the web to assist them with planning and adaptive management decisions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference ","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"U.S. Department of Interior","usgsCitation":"Sibley, D.M., Topping, D., Hines, M., and Garner, B.D., 2015, User-interactive sediment budgets in a browser: A web application for river science and management, <i>in</i> Proceedings of the 5th Federal Interagency Hydrologic Modeling Conference and the 10th Federal Interagency Sedimentation Conference, Reno, NV, April 19-23, 2015, p. 595-605.","productDescription":"11 p.","startPage":"595","endPage":"605","ipdsId":"IP-076433","costCenters":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"links":[{"id":351830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346747,"type":{"id":15,"text":"Index Page"},"url":"https://acwi.gov/sos/pubs/3rdJFIC/index.html"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeeb10e4b0da30c1bfc644","contributors":{"authors":[{"text":"Sibley, David M. dmsibley@usgs.gov","contributorId":4813,"corporation":false,"usgs":true,"family":"Sibley","given":"David","email":"dmsibley@usgs.gov","middleInitial":"M.","affiliations":[{"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":713025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":197244,"corporation":false,"usgs":true,"family":"Topping","given":"David J.","email":"dtopping@usgs.gov","affiliations":[],"preferred":true,"id":713026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, Megan 0000-0002-9845-4849 mhines@usgs.gov","orcid":"https://orcid.org/0000-0002-9845-4849","contributorId":4783,"corporation":false,"usgs":true,"family":"Hines","given":"Megan","email":"mhines@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine 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},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garner, Bradley D. 0000-0002-6912-5093 bdgarner@usgs.gov","orcid":"https://orcid.org/0000-0002-6912-5093","contributorId":2133,"corporation":false,"usgs":true,"family":"Garner","given":"Bradley","email":"bdgarner@usgs.gov","middleInitial":"D.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":713028,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159686,"text":"70159686 - 2015 - Upscaling of U (VI) desorption and transport from decimeter‐scale heterogeneity to plume‐scale modeling","interactions":[],"lastModifiedDate":"2017-04-27T10:00:53","indexId":"70159686","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"DOE-USGS--SC0003681","title":"Upscaling of U (VI) desorption and transport from decimeter‐scale heterogeneity to plume‐scale modeling","docAbstract":"<p><span>Scientifically defensible predictions of field scale U(VI) transport in groundwater requires an understanding of key processes at multiple scales. These scales range from smaller than the sediment grain scale (less than 10 μm) to as large as the field scale which can extend over several kilometers. The key processes that need to be considered include both geochemical reactions in solution and at sediment surfaces as well as physical transport processes including advection, dispersion, and pore-scale diffusion. The research summarized in this report includes both experimental and modeling results in batch, column and tracer tests. The objectives of this research were to: (1) quantify the rates of U(VI) desorption from sediments acquired from a uranium contaminated aquifer in batch experiments;(2) quantify rates of U(VI) desorption in column experiments with variable chemical conditions, and(3) quantify nonreactive tracer and U(VI) transport in field tests.</span></p>","language":"English","publisher":"U.S. Department of Energy","usgsCitation":"Curtis, G.P., Kohler, M., Kannappan, R., Briggs, M.A., and Day-Lewis, F.D., 2015, Upscaling of U (VI) desorption and transport from decimeter‐scale heterogeneity to plume‐scale modeling: Technical Report DOE-USGS--SC0003681, 18 p.","productDescription":"18 p.","ipdsId":"IP-063776","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":340477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311452,"type":{"id":15,"text":"Index Page"},"url":"https://www.osti.gov/scitech/servlets/purl/1170615"}],"country":"United States","state":"Colorado","city":"Naturita","otherGeospatial":"San Miguel River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.85185241699219,\n              37.98858671553364\n            ],\n            [\n              -108.27919006347655,\n              37.98858671553364\n            ],\n            [\n              -108.27919006347655,\n              38.43799313099272\n            ],\n            [\n              -108.85185241699219,\n              38.43799313099272\n            ],\n            [\n              -108.85185241699219,\n              37.98858671553364\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bde4b0c2e071a99ba8","contributors":{"authors":[{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kohler, Matthias mkohler@usgs.gov","contributorId":2624,"corporation":false,"usgs":true,"family":"Kohler","given":"Matthias","email":"mkohler@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kannappan, Ramakrishnan rkannappan@usgs.gov","contributorId":5352,"corporation":false,"usgs":true,"family":"Kannappan","given":"Ramakrishnan","email":"rkannappan@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":580083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":580084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":580085,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70160133,"text":"70160133 - 2015 - Construction ages of the Upton Stone Chamber: Preliminary findings and suggestions for future luminescence research","interactions":[],"lastModifiedDate":"2017-04-26T14:51:57","indexId":"70160133","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3216,"text":"Quaternary Geochronology","active":true,"publicationSubtype":{"id":10}},"title":"Construction ages of the Upton Stone Chamber: Preliminary findings and suggestions for future luminescence research","docAbstract":"The Upton Chamber in Massachusetts, an earth-covered stone structure 3.4 meters (m) in diameter, with a corbelled stone dome, and a 4.3 m long entrance passageway, is studied with the aim of determining whether optically stimulated luminescence (OSL) dating methods can be used to establish the approximate construction date of the entranceway. Three samples, taken from soil behind the lowest stones in the wall of the entrance passageway, returned OSL ages between 385 and 660 years ago (or from 1625 A.D. to 1350 A.D.; using the year 2011 as the 0 year). One sample, taken below the bottom of the artifact layers in an archeological test pit in front of the chamber entrance, returned OSL ages between 650 and 880 years ago. A modern sample collected from a nearby fluvial channel returned an age between 55 and 175 years. The Upton Chamber OSL sampling results are challenging to interpret because there are mixtures in the samples of both younger and older grains that likely result from human modification, root or soil processes, animal bioturbation (i.e. ants and worms), and/or partial bleaching. The ages were determined using the lowest component of the finite mixture model as applied to a distribution of quartz grains. Further research may enable us to determine whether older components are of anthropomorphic or geological origin.","language":"English","publisher":"Elsevier","doi":"10.1016/j.quageo.2015.05.017","usgsCitation":"Mahan, S.A., Martin, F., and Taylor, C., 2015, Construction ages of the Upton Stone Chamber: Preliminary findings and suggestions for future luminescence research: Quaternary Geochronology, v. 30 , no. Part B, p. 422-430, https://doi.org/10.1016/j.quageo.2015.05.017.","productDescription":"9 p.","startPage":"422","endPage":"430","ipdsId":"IP-060880","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":340470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Upton Chamber","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.69128417968749,\n              42.05337156043361\n            ],\n            [\n              -71.3507080078125,\n              42.05337156043361\n            ],\n            [\n              -71.3507080078125,\n              42.20614200929954\n            ],\n            [\n              -71.69128417968749,\n              42.20614200929954\n            ],\n            [\n              -71.69128417968749,\n              42.05337156043361\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30 ","issue":"Part B","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bce4b0c2e071a99ba4","contributors":{"authors":[{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":581986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Frederick","contributorId":150514,"corporation":false,"usgs":false,"family":"Martin","given":"Frederick","email":"","affiliations":[{"id":18040,"text":"Massachusetts Archeological Society (member)","active":true,"usgs":false}],"preferred":false,"id":581987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Cathy","contributorId":150515,"corporation":false,"usgs":false,"family":"Taylor","given":"Cathy","email":"","affiliations":[{"id":18041,"text":"Town of Upton Historical Commission","active":true,"usgs":false}],"preferred":false,"id":581988,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197944,"text":"70197944 - 2015 - 2014 M=6.0 South Napa earthquake triggered widespread aftershocks and stressed several major faults and exotic fault clusters","interactions":[],"lastModifiedDate":"2018-06-28T16:28:25","indexId":"70197944","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"2014 M=6.0 South Napa earthquake triggered widespread aftershocks and stressed several major faults and exotic fault clusters","docAbstract":"The strongest San Francisco Bay area earthquake since the 1989 Mw 7.0 Loma Prieta shock struck near Napa on 24 August 2014. Field mapping (Dawson et al., 2014; Earthquake Engineering Research Institute [EERI], 2014; Brocher et al., 2015) and seismic and geodetic source inversions (Barnhart et al., 2015; Dreger et al., 2015; Wei et al., 2015) indicate that a 15-km-long northwest-trending section of the West Napa Valley fault ruptured in the earthquake. Remarkably, it was the first indisputable surface rupture in the Bay area since 1906. The Napa event, along with other smaller earthquakes such as the 1980 Mw 5.8 Livermore and 1984 Mw 6.2 Morgan Hill events on the Calaveras and Hayward faults over the past 3–4 decades, may indicate that the Bay area region is emerging from the stress shadow of the 1906 Mw 7.8 San Francisco earthquake (Harris and Simpson, 1998; Pollitz et al., 2004). Since 1979, there has been a 140% increase in the rate of Mw≥4.1 shocks (Fig. 1) in the broader Bay area, with most concentrated in a corridor extending north from the 1989 Loma Prieta aftershock zone through the Calaveras, Greenville, Green Valley, Napa, and Rodgers Creek faults east of the San Francisco Bay (Fig. 1a). This corridor roughly coincides with the 1906 stress shadow that is being eroded away by more than a century of stress reaccumulation. The Napa event, as well as the surrounding faults on which we calculate the resulting hazard increases, all lie within this zone.","language":"English","publisher":"American Geophysical Union","doi":"10.1785/0220150102","usgsCitation":"Toda, S., and Stein, R., 2015, 2014 M=6.0 South Napa earthquake triggered widespread aftershocks and stressed several major faults and exotic fault clusters: Seismological Research Letters, v. 86, no. 6, p. 1593-1602, https://doi.org/10.1785/0220150102.","productDescription":"10 p.","startPage":"1593","endPage":"1602","ipdsId":"IP-065333","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":355415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.5357666015625,\n              36.804886560237236\n            ],\n            [\n              -121.16271972656249,\n              36.804886560237236\n            ],\n            [\n              -121.16271972656249,\n              38.69408504756833\n            ],\n            [\n              -123.5357666015625,\n              38.69408504756833\n            ],\n            [\n              -123.5357666015625,\n              36.804886560237236\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"86","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-07","publicationStatus":"PW","scienceBaseUri":"5b46e9b7e4b060350a15d34c","contributors":{"authors":[{"text":"Toda, Shinji","contributorId":43062,"corporation":false,"usgs":true,"family":"Toda","given":"Shinji","email":"","affiliations":[],"preferred":false,"id":739267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stein, Ross","contributorId":206051,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":739266,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189620,"text":"70189620 - 2015 - How to recognize a “Beast Quake” and a “Dance Quake”","interactions":[],"lastModifiedDate":"2017-07-19T09:12:12","indexId":"70189620","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"How to recognize a “Beast Quake” and a “Dance Quake”","docAbstract":"<p><span>Any good seismologist–carryball (i.e., American football) fan remembers the “beast quake” of 2011. Seahawks fans’ exuberant reactions to a Marshawn Lynch (in beast mode) run caused the stadium to shake enough to be well recorded on a strong‐motion seismograph a block away (</span><a id=\"xref-ref-1-1\" class=\"xref-bibr\" href=\"http://srl.geoscienceworld.org/content/86/3/1006#ref-1\" data-mce-href=\"http://srl.geoscienceworld.org/content/86/3/1006#ref-1\">Vidale, 2011</a><span>). With the Seahawks at home for the National Football Conference (NFC) Championship playoffs, both last year and this year, the Pacific Northwest Seismic Network (PNSN) received permission to install some seismometers in the stadium. Motivations for the experiment included testing the field and telemetry equipment, examining analysis and display techniques, and practicing quick reactions to mobilize field experiments. With PNSN students and staff who are also Seahawks fans, it was not hard to get volunteers to do the installations and monitor the on‐field actions and the resulting seismograms.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220150053","usgsCitation":"Malone, S., Hall, K., Simmons, L., and Vidale, J., 2015, How to recognize a “Beast Quake” and a “Dance Quake”: Seismological Research Letters, v. 86, no. 3, p. 449-450, https://doi.org/10.1785/0220150053.","productDescription":"2 p.","startPage":"449","endPage":"450","ipdsId":"IP-063791","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"86","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-04","publicationStatus":"PW","scienceBaseUri":"59706fb8e4b0d1f9f065a8ac","contributors":{"authors":[{"text":"Malone, Stephen","contributorId":194841,"corporation":false,"usgs":false,"family":"Malone","given":"Stephen","affiliations":[],"preferred":false,"id":705463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Kelley","contributorId":194842,"corporation":false,"usgs":false,"family":"Hall","given":"Kelley","email":"","affiliations":[],"preferred":false,"id":705464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, Lynn lynns@usgs.gov","contributorId":194840,"corporation":false,"usgs":true,"family":"Simmons","given":"Lynn","email":"lynns@usgs.gov","affiliations":[],"preferred":true,"id":705462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vidale, John","contributorId":194843,"corporation":false,"usgs":false,"family":"Vidale","given":"John","affiliations":[],"preferred":false,"id":705465,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190299,"text":"70190299 - 2015 - The evolution of mapping habitat for northern spotted owls (Strix occidentalis caurina): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps","interactions":[],"lastModifiedDate":"2017-08-24T12:12:24","indexId":"70190299","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The evolution of mapping habitat for northern spotted owls (<i>Strix occidentalis caurina</i>): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps","title":"The evolution of mapping habitat for northern spotted owls (Strix occidentalis caurina): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps","docAbstract":"<p id=\"sp0005\">Wildlife habitat mapping has evolved at a rapid pace over the last few decades. Beginning with simple, often subjective, hand-drawn maps, habitat mapping now involves complex species distribution models (SDMs) using mapped predictor variables derived from remotely sensed data. For species that inhabit large geographic areas, remote sensing technology is often essential for producing range wide maps. Habitat monitoring for northern spotted owls (<i>Strix occidentalis caurina</i>), whose geographic covers about 23&nbsp;million&nbsp;ha, is based on SDMs that use Landsat Thematic Mapper imagery to create forest vegetation data layers using gradient nearest neighbor (GNN) methods. Vegetation data layers derived from GNN are modeled relationships between forest inventory plot data, climate and topographic data, and the spectral signatures acquired by the satellite. When used as predictor variables for SDMs, there is some transference of the GNN modeling error to the final habitat map.</p><p id=\"sp0010\">Recent increases in the use of light detection and ranging (lidar) data, coupled with the need to produce spatially accurate and detailed forest vegetation maps have spurred interest in its use for SDMs and habitat mapping. Instead of modeling predictor variables from remotely sensed spectral data, lidar provides direct measurements of vegetation height for use in SDMs. We expect a SDM habitat map produced from directly measured predictor variables to be more accurate than one produced from modeled predictors.</p><p id=\"sp0015\">We used maximum entropy (Maxent) SDM modeling software to compare predictive performance and estimates of habitat area between Landsat-based and lidar-based northern spotted owl SDMs and habitat maps. We explored the differences and similarities between these maps, and to a pre-existing aerial photo-interpreted habitat map produced by local wildlife biologists. The lidar-based map had the highest predictive performance based on 10 bootstrapped replicate models (AUC&nbsp;=&nbsp;0.809&nbsp;±&nbsp;0.011), but the performance of the Landsat-based map was within acceptable limits (AUC&nbsp;=&nbsp;0.717&nbsp;±&nbsp;0.021). As is common with photo-interpreted maps, there was no accuracy assessment available for comparison. The photo-interpreted map produced the highest and lowest estimates of habitat area, depending on which habitat classes were included (nesting, roosting, and foraging habitat&nbsp;=&nbsp;9962&nbsp;ha, nesting habitat only&nbsp;=&nbsp;6036&nbsp;ha). The Landsat-based map produced an estimate of habitat area that was within this range (95% CI: 6679–9592&nbsp;ha), while the lidar-based map produced an area estimate similar to what was interpreted by local wildlife biologists as nesting (i.e., high quality) habitat using aerial imagery (95% CI: 5453–7216). Confidence intervals of habitat area estimates from the SDMs based on Landsat and lidar overlapped.</p><p id=\"sp0020\">We concluded that both Landsat- and lidar-based SDMs produced reasonable maps and area estimates for northern spotted owl habitat within the study area. The lidar-based map was more precise and spatially similar to what local wildlife biologists considered spotted owl nesting habitat. The Landsat-based map provided a less precise spatial representation of habitat within the relatively small geographic confines of the study area, but habitat area estimates were similar to both the photo-interpreted and lidar-based maps.</p><p id=\"sp0025\">Photo-interpreted maps are time consuming to produce, subjective in nature, and difficult to replicate. SDMs provide a framework for efficiently producing habitat maps that can be replicated as habitat conditions change over time, provided that comparable remotely sensed data are available. When the SDM uses predictor variables extracted from lidar data, it can produce a habitat map that is both accurate and useful at large and small spatial scales. In comparison, SDMs using Landsat-based data are more appropriate for large scale analyses of amounts and general spatial patterns of habitat at regional scales.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2014.09.025","usgsCitation":"Ackers, S.H., Davis, R.J., Olsen, K., and Dugger, K., 2015, The evolution of mapping habitat for northern spotted owls (Strix occidentalis caurina): A comparison of photo-interpreted, Landsat-based, and lidar-based habitat maps: Remote Sensing of Environment, v. 156, p. 361-373, https://doi.org/10.1016/j.rse.2014.09.025.","productDescription":"13 p.","startPage":"361","endPage":"373","ipdsId":"IP-049418","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":345111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"156","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599fe5bae4b038630d022104","contributors":{"authors":[{"text":"Ackers, Steven H.","contributorId":36065,"corporation":false,"usgs":true,"family":"Ackers","given":"Steven","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":708389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Raymond J.","contributorId":150574,"corporation":false,"usgs":false,"family":"Davis","given":"Raymond","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olsen, K.","contributorId":61570,"corporation":false,"usgs":true,"family":"Olsen","given":"K.","email":"","affiliations":[],"preferred":false,"id":708391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":708356,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189608,"text":"70189608 - 2015 - Refinements to the Graves and Pitarka (2010) Broadband Ground Motion Simulation Method","interactions":[],"lastModifiedDate":"2017-07-19T10:17:34","indexId":"70189608","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Refinements to the Graves and Pitarka (2010) Broadband Ground Motion Simulation Method","docAbstract":"This brief article describes refinements to the Graves and Pitarka (2010) broadband ground motion simulation methodology (GP2010 hereafter) that have been implemented in version 14.3 of the SCEC Broadband Platform (BBP). The updated version of our method on the current SCEC BBP is referred to as GP14.3. Our simulation technique is a hybrid approach that combines low-­‐frequency and high-­‐frequency motions computed with different methods into a single broadband response. The separate low-­‐ and high-­‐frequency components have traditionally been called “deterministic” and “stochastic”, respectively; however, this nomenclature is an oversimplification. In reality, the low-­‐frequency approach includes many stochastic elements, and likewise, the high-­‐frequency approach includes many deterministic elements (e.g., Pulido and Kubo, 2004; Hartzell et al., 2005; Liu et al., 2006; Frankel, 2009; Graves and Pitarka, 2010; Mai et al., 2010). While the traditional terminology will likely remain in use by the broader modeling community, in this paper we will refer to these using the generic terminology “low-­‐frequency” and “high-­‐ frequency” approaches. Furthermore, one of the primary goals in refining our methodology is to provide a smoother and more consistent transition between the low-­‐ and high-­‐ frequency calculations, with the ultimate objective being the development of a single unified modeling approach that can be applied over a broad frequency band. GP2010 was validated by modeling recorded strong motions from four California earthquakes. While the method performed well overall, several issues were identified including the tendency to over-­‐predict the level of longer period (2-­‐5 sec) motions and the effects of rupture directivity. The refinements incorporated in GP14.3 are aimed at addressing these issues with application to the simulation of earthquakes in Western US (WUS). These refinements include the addition of a deep weak zone (details in following section) to the rupture characterization and allowing perturbations in the correlation of rise time and rupture speed with the specified slip distribution. Additionally, we have extended the parameterization of GP14.3 so that it is also applicable for simulating Eastern North America (ENA) earthquakes. This work has been guided by the comprehensive set of validation studies described in Goulet and Abrahamson (2014) and Dreger et al. (2014). The GP14.3 method shows improved performance relative to GP2010, and we direct the interested reader to Dreger et al. (2014) for a detailed assessment of the current methodology. In this paper, we concentrate on describing the modifications in more detail, and also discussing additional refinements that are currently being developed.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140101","usgsCitation":"Graves, R., and Arben Pitarka, 2015, Refinements to the Graves and Pitarka (2010) Broadband Ground Motion Simulation Method: Seismological Research Letters, v. 86, no. 1, p. 75-80, https://doi.org/10.1785/0220140101.","productDescription":"6 p.","startPage":"75","endPage":"80","ipdsId":"IP-059617","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471546,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1409997","text":"External Repository"},{"id":344030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"86","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-17","publicationStatus":"PW","scienceBaseUri":"59706fb9e4b0d1f9f065a8bc","contributors":{"authors":[{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arben Pitarka","contributorId":194800,"corporation":false,"usgs":false,"family":"Arben Pitarka","affiliations":[],"preferred":false,"id":705398,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70141198,"text":"70141198 - 2015 - Long-term monitoring program: Evaluating chronic exposure of harlequin ducks and sea otters to lingering Exxon Valdez Oil in Western Prince William Sound","interactions":[],"lastModifiedDate":"2018-02-14T13:08:31","indexId":"70141198","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Long-term monitoring program: Evaluating chronic exposure of harlequin ducks and sea otters to lingering Exxon Valdez Oil in Western Prince William Sound","docAbstract":"<p>We found that average cytochrome P4501A induction (as measured by EROD activity) during March 2014 was not elevated in wintering harlequin ducks captured in areas of Prince William Sound oiled by the 1989 <i>Exxon Valdez</i> oil spill, relative to those captured in unoiled areas. This result is consistent with findings from March 2013. We interpret these findings to indicate that exposure of harlequin ducks to residual<i> Exxon Valdez</i> oil abated within 24 years after the original spill. Results from preceding sampling in 2011 indicated that EROD activity was elevated in harlequin ducks in oiled relative to unoiled areas, although the magnitude of elevation was lower than in previous years (1998-2009), suggesting that the rate or intensity of exposure was diminishing by 2011. The data presented in this report add to a growing body of literature indicating that persistence of oil in the environment, and exposure of wildlife to that oil, can occur over much longer time frames than previously assumed.</p>","language":"English","publisher":"Exxon Valdez Oil Spill Trustee Council","publisherLocation":"Anchorage, AK","usgsCitation":"Esler, D., Bowen, L., Miles, A.K., Ballachey, B.E., and Bodkin, J.L., 2015, Long-term monitoring program: Evaluating chronic exposure of harlequin ducks and sea otters to lingering Exxon Valdez Oil in Western Prince William Sound, 46 p.","productDescription":"46 p.","ipdsId":"IP-061863","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":342376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -164.50927734375,\n              54.533832507944304\n            ],\n            [\n              -164.50927734375,\n              54.20101023973888\n            ],\n            [\n              -163.9599609375,\n              53.77468884583577\n            ],\n            [\n              -162.26806640625,\n              53.74871079689897\n            ],\n            [\n              -159.609375,\n              54.149567212540525\n            ],\n            [\n              -155.85205078125,\n              54.61025498157912\n            ],\n            [\n              -153.6767578125,\n              55.7642131648377\n            ],\n            [\n              -152.314453125,\n              56.27996083172844\n            ],\n            [\n              -144.4921875,\n              60.4788788301667\n            ],\n            [\n              -144.0087890625,\n              60.80206374467983\n            ],\n            [\n              -144.580078125,\n              61.20679804263029\n            ],\n            [\n              -144.7998046875,\n              61.52269494598361\n            ],\n            [\n              -145.74462890625,\n              61.554109444927185\n            ],\n            [\n              -146.44775390625,\n              61.77312286453146\n            ],\n            [\n              -148.6669921875,\n              61.91827102335593\n            ],\n            [\n              -149.6337890625,\n              61.7419302246182\n            ],\n            [\n              -150.6005859375,\n              61.37567331572747\n            ],\n            [\n              -153.91845703125,\n              59.93300042374631\n            ],\n            [\n              -154.51171875,\n              59.567723306212955\n            ],\n            [\n              -155.32470703125,\n              59.108308258604964\n            ],\n            [\n              -155.17089843749997,\n              58.81374171570782\n            ],\n            [\n              -155.50048828125,\n              58.35563036280964\n            ],\n            [\n              -156.533203125,\n              57.69240553526455\n            ],\n            [\n              -159.19189453125,\n              56.64414704199467\n            ],\n            [\n              -160.7958984375,\n              55.91227293006361\n            ],\n            [\n              -162.8173828125,\n              55.2415520356525\n            ],\n            [\n              -164.50927734375,\n              54.533832507944304\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa833e4b0764e6c627954","contributors":{"authors":[{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":true,"id":540565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":697858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":697859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":540566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":697860,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189952,"text":"70189952 - 2015 - Groundwater: The disregarded component in lake water and nutrient budgets, Part 1: Effects of groundwater on hydrology","interactions":[],"lastModifiedDate":"2017-08-01T14:35:16","indexId":"70189952","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater: The disregarded component in lake water and nutrient budgets, Part 1: Effects of groundwater on hydrology","docAbstract":"Lake eutrophication is a large and growing problem in many parts of the world, commonly due to anthropogenic sources of\nnutrients. Improved quantification of nutrient inputs is required to address this problem, including better determination of\nexchanges between groundwater and lakes. This first of a two-part review provides a brief history of the evolution of the study of\ngroundwater exchange with lakes, followed by a listing of the most commonly used methods for quantifying this exchange.\nRates of exchange between lakes and groundwater compiled from the literature are statistically summarized for both exfiltration\n(flow from groundwater to a lake) and infiltration (flow from a lake to groundwater), including per cent contribution of\ngroundwater to lake-water budgets. Reported rates of exchange between groundwater and lakes span more than five orders of\nmagnitude. Median exfiltration is 0.74 cm/day, and median infiltration is 0.60 cm/day. Exfiltration ranges from near 0% to 94%\nof input terms in lake-water budgets, and infiltration ranges from near 0% to 91% of loss terms. Median values for exfiltration\nand infiltration as percentages of input and loss terms of lake-water budgets are 25% and 35%, respectively. Quantification of the\ngroundwater term is somewhat method dependent, indicating that calculating the groundwater component with multiple methods\ncan provide a better understanding of the accuracy of estimates. The importance of exfiltration to a lake budget ranges widely for\nlakes less than about 100 ha in area but generally decreases with increasing lake area, particularly for lakes that exceed 100 ha in\narea. No such relation is evident for lakes where infiltration occurs, perhaps because of the smaller sample size. Copyright ©\n2014 John Wiley & Sons, Ltd.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10403","usgsCitation":"Rosenberry, D.O., Lewandowski, J., Meinikmann, K., and Nutzmann, G., 2015, Groundwater: The disregarded component in lake water and nutrient budgets, Part 1: Effects of groundwater on hydrology: Hydrological Processes, v. 29, no. 13, p. 2895-2921, https://doi.org/10.1002/hyp.10403.","productDescription":"27 p.","startPage":"2895","endPage":"2921","ipdsId":"IP-053819","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"13","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-08","publicationStatus":"PW","scienceBaseUri":"59819315e4b0e2f5d463b7a1","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":706861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewandowski, Jorg","contributorId":195317,"corporation":false,"usgs":false,"family":"Lewandowski","given":"Jorg","email":"","affiliations":[],"preferred":false,"id":706862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meinikmann, Karin","contributorId":195318,"corporation":false,"usgs":false,"family":"Meinikmann","given":"Karin","email":"","affiliations":[],"preferred":false,"id":706863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nutzmann, Gunnar","contributorId":195319,"corporation":false,"usgs":false,"family":"Nutzmann","given":"Gunnar","email":"","affiliations":[],"preferred":false,"id":706864,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159389,"text":"70159389 - 2015 - Science foundation Chapter 5 Appendix 5.1: Case study dabbling ducks","interactions":[],"lastModifiedDate":"2017-05-09T09:21:30","indexId":"70159389","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Science foundation Chapter 5 Appendix 5.1: Case study dabbling ducks","docAbstract":"<p>Dabbling ducks are the most abundant group of waterfowl that overwinter in the shallow wetlands and ponds of San Francisco Bay (SFB). Species within this group are primarily omnivorous, feeding on both plant material and macroinvertebrate prey by “tipping” to access benthic foods in bottom sediments or by foraging in the water column. Although the majority of these ducks are migratory, smaller numbers also nest locally in the SFB. These species vary in body size, ranging from the large mallard (<i>Anas platyrhynchos</i>) to the small green-winged teal (<i>Anas crecca</i>). Other dabbling duck species present in the SFB include American wigeon (<i>Anas americana</i>), gadwall (<i>Anas strepera</i>), cinnamon teal (<i>Anas cyanoptera</i>), northern shoveler (<i>Anas clypeata</i>), northern pintail (<i>Anas acuta</i>), and wood duck (<i>Aix sponsa</i>). </p><p>Most of these dabbling duck species are known to breed in the SFB with the exception of the American wigeon and green-winged teal. However, the majority of wintering ducks originate from breeding grounds in the Central Valley of California, Pacific Coast States, Alaska, and Intermountain States/provinces, prairie potholes, and boreal forest. Their wintering populations in SFB are greatest between October and January, and dabbling duck species are found in all SFB regions. However, most dabbling duck use is associated with former salt production ponds and in the north and south bays, and managed wetlands of the Suisun Marsh.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The baylands and climate change what we can do: Baylands ecosystem habitat goals science update 2015","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"California State Coastal Conservancy","usgsCitation":"Yarris, G., and Ackerman, J., 2015, Science foundation Chapter 5 Appendix 5.1: Case study dabbling ducks, 6 p.","productDescription":"6 p.","ipdsId":"IP-060903","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":340984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310636,"type":{"id":15,"text":"Index Page"},"url":"https://baylandsgoals.org/case-studies/"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.29406738281249,\n              36.86204269508728\n            ],\n            [\n              -120.8551025390625,\n              36.86204269508728\n            ],\n            [\n              -120.8551025390625,\n              38.44498466889473\n            ],\n            [\n              -123.29406738281249,\n              38.44498466889473\n            ],\n            [\n              -123.29406738281249,\n              36.86204269508728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d53ae4b0e541a03d452f","contributors":{"authors":[{"text":"Yarris, Gregory S.","contributorId":115361,"corporation":false,"usgs":true,"family":"Yarris","given":"Gregory S.","affiliations":[],"preferred":false,"id":578354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":578353,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189616,"text":"70189616 - 2015 - Shaking intensity from injection-induced versus tectonic earthquakes in the central-eastern United States","interactions":[],"lastModifiedDate":"2017-07-19T11:10:27","indexId":"70189616","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Shaking intensity from injection-induced versus tectonic earthquakes in the central-eastern United States","docAbstract":"<p><span>Although instrumental recordings of earthquakes in the central and eastern United States (CEUS) remain sparse, the U. S. Geological Survey's “Did you feel it?” (DYFI) system now provides excellent characterization of shaking intensities caused by induced and tectonic earthquakes. Seventeen CEUS events are considered between 2013 and 2015. It is shown that for 15 events, observed intensities at epicentral distances greater than ≈ 10 km are lower than expected given a published intensity-prediction equation for the region. Using simple published relations among intensity, magnitude, and stress drop, the results suggest that 15 of the 17 events have low stress drop. For those 15 events, intensities within ≈ 10-km epicentral distance are closer to predicted values, which can be explained as a consequence of relatively shallow source depths. The results suggest that those 15 events, most of which occurred in areas where induced earthquakes have occurred previously, were likely induced. Although moderate injection-induced earthquakes in the central and eastern United States will be felt widely because of low regional attenuation, the damage from shallow earthquakes induced by injection will be more localized to event epicenters than shaking tectonic earthquakes, which tend to be somewhat deeper. Within approximately 10 km of the epicenter, intensities are generally commensurate with predicted levels expected for the event magnitude.</span><br></p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle34060690.1","usgsCitation":"Hough, S.E., 2015, Shaking intensity from injection-induced versus tectonic earthquakes in the central-eastern United States: The Leading Edge, v. 34, no. 6, p. 690-697, https://doi.org/10.1190/tle34060690.1.","productDescription":"6 p.","startPage":"690","endPage":"697","ipdsId":"IP-063054","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":344018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.89257812499999,\n              41.178653972331674\n            ],\n            [\n              -106.171875,\n              44.77793589631623\n            ],\n            [\n              -106.12792968749999,\n              42.97250158602597\n            ],\n            [\n              -104.94140625,\n              32.76880048488168\n            ],\n            [\n              -81.5185546875,\n              33.358061612778876\n            ],\n            [\n              -79.89257812499999,\n              41.178653972331674\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fb8e4b0d1f9f065a8b0","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705454,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70160734,"text":"70160734 - 2015 - Great Lakes prey fish populations: A cross-basin Overview of status and trends based on bottom trawl surveys, 1978-2014","interactions":[],"lastModifiedDate":"2017-04-26T09:32:47","indexId":"70160734","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Great Lakes prey fish populations: A cross-basin Overview of status and trends based on bottom trawl surveys, 1978-2014","docAbstract":"The assessment of Great Lakes prey fish stocks have been conducted annually with bottom trawls since the 1970s by the Great Lakes Science Center, sometimes assisted by partner agencies. These stock assessments provide data on the status and trends of prey fish that are consumed by important commercial and recreational fishes. Although all these annual surveys are conducted using\nbottom trawls, they differ among the lakes in the proportion of the lake covered, seasonal timing, trawl gear used, and the manner in which the trawl is towed (across or along bottom contours). Because each assessment is unique, population indices were standardized to the highest value for a time series within each lake for the following prey species: Cisco (Coregonus artedi), Bloater (C. hoyi), Rainbow Smelt (Osmerus mordax), Alewife (Alosa pseudoharengus), and Round Goby (Neogobius melanostomus). In this report, standardized indices are presented in graphical form along with synopses to provide a short, informal cross-basin summary of the status and trends of principal prey fishes.","largerWorkTitle":"Compiled reports to the Great Lakes Fishery Commission of the Annual Bottom Trawl and Acoustics Surveys, 2014","language":"English","publisher":"Great Lakes Fishery Commission","collaboration":"Great Lakes Fishery Commission, Ontario Ministry of Natural Resources, Ohio Department of Natural Resources, New York State Department of Environmental Conservation, Pennsylvania Fish and Boat Commission","usgsCitation":"Gorman, O.T., and Weidel, B., 2015, Great Lakes prey fish populations: A cross-basin Overview of status and trends based on bottom trawl surveys, 1978-2014, 10 p.","productDescription":"10 p.","startPage":"96","endPage":"105","ipdsId":"IP-063855","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313014,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/lakecom/common_docs/Compiled%20Reports%20from%20USGS%202015.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bce4b0c2e071a99ba2","contributors":{"authors":[{"text":"Gorman, Owen T. 0000-0003-0451-110X otgorman@usgs.gov","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":2888,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","email":"otgorman@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583727,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70147404,"text":"70147404 - 2015 - Point-source stochastic-method simulations of ground motions for the PEER NGA-East Project","interactions":[],"lastModifiedDate":"2017-06-12T09:04:39","indexId":"70147404","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Point-source stochastic-method simulations of ground motions for the PEER NGA-East Project","docAbstract":"Ground-motions for the PEER NGA-East project were simulated using a point-source stochastic method.  The simulated motions are provided for distances between   of 0 and 1200 km, M from 4 to 8, and 25 ground-motion intensity measures: peak ground velocity (PGV), peak ground acceleration (PGA), and 5%-damped pseudoabsolute response spectral acceleration (PSA) for 23 periods ranging from 0.01 s to 10.0 s.  Tables of motions are provided for each of six attenuation models.  The attenuation-model-dependent stress parameters used in the stochastic-method simulations were derived from inversion of PSA data from eight earthquakes in eastern North America.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"NGA-East Median Ground-Motion Models for the Central and Eastern North America Region","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Pacific Earthquake Engineering Research Center (PEER)","publisherLocation":"Berkeley,  CA","usgsCitation":"Boore, D., 2015, Point-source stochastic-method simulations of ground motions for the PEER NGA-East Project, 39 p.","productDescription":"39 p.","startPage":"11","endPage":"49","ipdsId":"IP-062687","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":342368,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://peer.berkeley.edu/publications/peer_reports/reports_2015/reports_2015.html"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593fa831e4b0764e6c62794b","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":545912,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159253,"text":"70159253 - 2015 - Geologic maps of the eastern Alaska Range, Alaska (1:63,360 scale)","interactions":[],"lastModifiedDate":"2017-05-02T09:05:02","indexId":"70159253","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"2015-6","title":"Geologic maps of the eastern Alaska Range, Alaska (1:63,360 scale)","docAbstract":"This report provides a description of map units for a suite of 44 inch-to-mile (1:63,360-scale) geologic quadrangle maps of the eastern Alaska Range. This report also contains a geologic and tectonic summary and a comprehensive list of references pertaining to geologic mapping and specialized studies of the region. In addition to the geologic maps of the eastern Alaska Range, this package includes a list of map units and an explanation of map symbols and abbreviations. The geologic maps display detailed surficial and bedrock geology, structural and stratigraphic data, portrayal of the active Denali fault that bisects the core of the east–west-trending range, and portrayal of other young faults along the north and south flanks of the range.","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/29444","usgsCitation":"Nokleberg, W.J., Aleinikoff, J.N., Bond, G.C., Ferrians, O.J., Herzon, P.L., Lange, I.M., Miyaoka, R.T., Richter, D.H., Schwab, C.E., Silva, S.R., Smith, T.E., and Zehner, R.E., 2015, Geologic maps of the eastern Alaska Range, Alaska (1:63,360 scale), Maps: 45 georeferenced PDF files; Report: PDF, 72 p., https://doi.org/10.14509/29444.","productDescription":"Maps: 45 georeferenced PDF files; Report: PDF, 72 p.","ipdsId":"IP-050668","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29444","text":"Publisher Index Page"},{"id":340711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Eastern Alaska Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -147.392578125,\n              61.73152565113397\n            ],\n            [\n              -141.50390625,\n              61.73152565113397\n            ],\n            [\n              -141.50390625,\n              64.54844014422517\n            ],\n            [\n              -147.392578125,\n              64.54844014422517\n            ],\n            [\n              -147.392578125,\n              61.73152565113397\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099aaee4b0fc4e449157f6","contributors":{"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":577911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":577912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bond, Gerard C.","contributorId":149315,"corporation":false,"usgs":false,"family":"Bond","given":"Gerard","email":"","middleInitial":"C.","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":577913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrians, Oscar J. Jr.","contributorId":42952,"corporation":false,"usgs":true,"family":"Ferrians","given":"Oscar","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":577914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herzon, Paige L.","contributorId":89207,"corporation":false,"usgs":true,"family":"Herzon","given":"Paige","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":577915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lange, Ian M.","contributorId":149316,"corporation":false,"usgs":false,"family":"Lange","given":"Ian","email":"","middleInitial":"M.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":577916,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miyaoka, Ronny T.","contributorId":61861,"corporation":false,"usgs":true,"family":"Miyaoka","given":"Ronny","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":577917,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richter, Donald H.","contributorId":61021,"corporation":false,"usgs":true,"family":"Richter","given":"Donald","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":577918,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schwab, Carl E.","contributorId":149317,"corporation":false,"usgs":false,"family":"Schwab","given":"Carl","email":"","middleInitial":"E.","affiliations":[{"id":17702,"text":"Branch of Alaskan Geology, U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":577919,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Silva, Steven R. srsilva@usgs.gov","contributorId":3162,"corporation":false,"usgs":true,"family":"Silva","given":"Steven","email":"srsilva@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":693870,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, Thomas E.","contributorId":57871,"corporation":false,"usgs":true,"family":"Smith","given":"Thomas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":577920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zehner, Richard E.","contributorId":46096,"corporation":false,"usgs":true,"family":"Zehner","given":"Richard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":577921,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70142172,"text":"70142172 - 2015 - Hydrologic response for a high-elevation storm in the South Dakota Black Hills","interactions":[],"lastModifiedDate":"2017-10-12T20:00:12","indexId":"70142172","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5422,"text":"Internal Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"2015-01","title":"Hydrologic response for a high-elevation storm in the South Dakota Black Hills","docAbstract":"A group of thunderstorms produced >4 in of rain during four periods of progressively more intense rainfall across a small part of a relatively high-elevation area of the northern Black Hills on 5 August 2014. The resulting hydrologic response was noteworthy in two very small headwater drainage basins, where the measured peak flows are by far the largest—relative to drainage area—ever documented for the high-elevation Limestone Plateau area. However, peak flows attenuated quickly in a downstream direction owing to the storms tracking perpendicular to the drainage direction, moderately dry antecedent conditions, and progressive widening of the valley bottoms.","language":"English","publisher":"National Oceanic and Atmospheric Administration/National Weather Service","usgsCitation":"Bunkers, M.J., Smith, M., Driscoll, D.G., and Hoogestraat, G., 2015, Hydrologic response for a high-elevation storm in the South Dakota Black Hills: Internal Report 2015-01, 21 p.","productDescription":"21 p.","ipdsId":"IP-061903","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science 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Center","active":true,"usgs":true}],"preferred":true,"id":541661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoogestraat, Galen K. ghoogest@usgs.gov","contributorId":2336,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen K.","email":"ghoogest@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541664,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189611,"text":"70189611 - 2015 - Earthquake geology of the Bulnay Fault (Mongolia)","interactions":[],"lastModifiedDate":"2017-07-19T09:56:15","indexId":"70189611","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake geology of the Bulnay Fault (Mongolia)","docAbstract":"<p>The Bulnay earthquake of July 23, 1905 (M<sub>w</sub> 8.3-8.5), in north-central Mongolia, is one of the world's largest recorded intracontinental earthquakes and one of four great earthquakes that occurred in the region during the 20th century. The 375-km-long surface rupture of the left-lateral, strike-slip, N095°E trending Bulnay Fault associated with this earthquake is remarkable for its pronounced expression across the landscape and for the size of features produced by previous earthquakes. Our field observations suggest that in many areas the width and geometry of the rupture zone is the result of repeated earthquakes; however, in those areas where it is possible to determine that the geomorphic features are the result of the 1905 surface rupture alone, the size of the features produced by this single earthquake are singular in comparison to most other historical strike-slip surface ruptures worldwide. Along the 80 km stretch, between 97.18°E and 98.33°E, the fault zone is characterized by several meters width and the mean left-lateral 1905 offset is 8.9 ± 0.6 m with two measured cumulative offsets that are twice the 1905 slip. These observations suggest that the displacement produced during the penultimate event was similar to the 1905 slip. Morphotectonic analyses carried out at three sites along the eastern part of the Bulnay fault, allow us to estimate a mean horizontal slip rate of 3.1 ± 1.7 mm/yr over the Late Pleistocene-Holocene period. In parallel, paleoseismological investigations show evidence for two earthquakes prior to the 1905 event with recurrence intervals of ~2700-4000 years.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140119","usgsCitation":"Rizza, M., Ritz, J., Prentice, C.S., Vassallo, R., Braucher, R., Larroque, C., Arzhannikova, A., Arzhanikov, S., Mahan, S.A., Massault, M., Michelot, J., and Todbileg, M., 2015, Earthquake geology of the Bulnay Fault (Mongolia): Bulletin of the Seismological Society of America, v. 105, no. 1, p. 72-93, https://doi.org/10.1785/0120140119.","productDescription":"22 p.","startPage":"72","endPage":"93","ipdsId":"IP-060346","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471550,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-01179837","text":"External Repository"},{"id":344024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia","otherGeospatial":"Bulnay Fault","volume":"105","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-13","publicationStatus":"PW","scienceBaseUri":"59706fb9e4b0d1f9f065a8b9","contributors":{"authors":[{"text":"Rizza, Magali","contributorId":194806,"corporation":false,"usgs":false,"family":"Rizza","given":"Magali","email":"","affiliations":[],"preferred":false,"id":705412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritz, Jean-Franciois","contributorId":194807,"corporation":false,"usgs":false,"family":"Ritz","given":"Jean-Franciois","email":"","affiliations":[],"preferred":false,"id":705413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prentice, Carol S. 0000-0003-3732-3551 cprentice@usgs.gov","orcid":"https://orcid.org/0000-0003-3732-3551","contributorId":2676,"corporation":false,"usgs":true,"family":"Prentice","given":"Carol","email":"cprentice@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vassallo, Ricardo","contributorId":194808,"corporation":false,"usgs":false,"family":"Vassallo","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":705414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Braucher, Regis","contributorId":194809,"corporation":false,"usgs":false,"family":"Braucher","given":"Regis","email":"","affiliations":[],"preferred":false,"id":705415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larroque, Christophe","contributorId":194810,"corporation":false,"usgs":false,"family":"Larroque","given":"Christophe","email":"","affiliations":[],"preferred":false,"id":705416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arzhannikova, A.","contributorId":194811,"corporation":false,"usgs":false,"family":"Arzhannikova","given":"A.","email":"","affiliations":[],"preferred":false,"id":705417,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arzhanikov, S.","contributorId":194812,"corporation":false,"usgs":false,"family":"Arzhanikov","given":"S.","email":"","affiliations":[],"preferred":false,"id":705418,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":705419,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Massault, M.","contributorId":194813,"corporation":false,"usgs":false,"family":"Massault","given":"M.","email":"","affiliations":[],"preferred":false,"id":705420,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Michelot, J-L.","contributorId":194814,"corporation":false,"usgs":false,"family":"Michelot","given":"J-L.","email":"","affiliations":[],"preferred":false,"id":705421,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Todbileg, M.","contributorId":194815,"corporation":false,"usgs":false,"family":"Todbileg","given":"M.","email":"","affiliations":[],"preferred":false,"id":705422,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70158660,"text":"70158660 - 2015 - Blackbrush (<i>Coleogyne ramosissima Torr.</i>): State of our knowledge and future challenges","interactions":[],"lastModifiedDate":"2017-05-09T11:29:12","indexId":"70158660","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Blackbrush (<i>Coleogyne ramosissima Torr.</i>): State of our knowledge and future challenges","docAbstract":"Covering 130,000 square miles and a wide range of elevations from desert to alpine in Arizona, Utah, Colorado, and New Mexico, the Colorado Plateau has long fascinated researchers. 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The Colorado Plateau VI proves a valuable resource to all interested in the conservation management, natural history, and cultural biological resources of the Colorado Plateau.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Colorado plateau VI: Science and management at the landscape scale","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"University of Arizona Press","usgsCitation":"Pendleton, R.L., Pendleton, B.K., Meyer, S.E., Richardson, B., Esque, T., and Kitchen, S.G., 2015, Blackbrush (<i>Coleogyne ramosissima Torr.</i>): State of our knowledge and future challenges, <i>in</i> The Colorado plateau VI: Science and management at the landscape scale, p. 142-159.","productDescription":"18 p.","startPage":"142","endPage":"159","ipdsId":"IP-063307","costCenters":[{"id":651,"text":"Western Ecological Research 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,{"id":70159390,"text":"70159390 - 2015 - Science foundation Chapter 5 Appendix 5.1: Case study diving ducks","interactions":[],"lastModifiedDate":"2017-07-19T15:43:02","indexId":"70159390","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Science foundation Chapter 5 Appendix 5.1: Case study diving ducks","docAbstract":"<p>Diving ducks are the most abundant group of waterfowl that overwinter in the open bays and ponds of San Francisco Bay (SFB). Species within this group are primarily benthivores that dive to obtain their macroinvertebrate prey in bottom sediments, although at times they may eat plant matter or forage in the water column. These migratory species include bay ducks (lesser scaup<i> Aythya affinis</i>, greater scaup <i>A. marila</i>, canvasback <i>A. valisineria</i>), sea ducks (surf scoter <i>Melanitta perspicillata</i> and bufflehead<i> Bucephala albeola</i>), and a stiff-tailed duck (ruddy duck <i>Oxyura jamaicensis</i>). These species vary from largest to smallest body mass: canvasback, greater scaup, surf scoter, lesser scaup, ruddy duck, and bufflehead. </p><p>Their breeding grounds range from Central Valley grasslands, intermountain wetlands, prairie potholes, boreal forest, and Arctic tundra. Their wintering populations in SFB are most abundant between October and April, and SFB comprises up to 50% of the number counted during midwinter surveys on the lower Pacific coast. Species are found in all SFB regions, but greater scaup and surf scoter are most often seen in subtidal to intertidal waters and are not commonly found in baylands. In contrast, ruddy duck and bufflehead populations are most abundant in baylands, particularly in managed ponds. Canvasbacks are commonly found at estuaries or creek mouths.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The baylands and climate change what we can do: Baylands ecosystem habitat goals science update 2015","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"California State Coastal Conservancy","usgsCitation":"Takekawa, J.Y., De La Cruz, S., Ackerman, J., and Yarris, G., 2015, Science foundation Chapter 5 Appendix 5.1: Case study diving ducks, 11 p.","productDescription":"11 p.","ipdsId":"IP-060710","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":340983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310637,"type":{"id":15,"text":"Index Page"},"url":"https://baylandsgoals.org/case-studies/"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.29406738281249,\n              36.86204269508728\n            ],\n            [\n              -120.8551025390625,\n              36.86204269508728\n            ],\n            [\n              -120.8551025390625,\n              38.44498466889473\n            ],\n            [\n              -123.29406738281249,\n              38.44498466889473\n            ],\n            [\n              -123.29406738281249,\n              36.86204269508728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d539e4b0e541a03d452d","contributors":{"authors":[{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":578356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Susan sdelacruz@usgs.gov","contributorId":131159,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":578357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":578355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yarris, Gregory S.","contributorId":115361,"corporation":false,"usgs":true,"family":"Yarris","given":"Gregory S.","affiliations":[],"preferred":false,"id":578358,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159399,"text":"70159399 - 2015 - Science foundation Chapter 5 Appendix 5.1: Case study shore birds: Western sandpipers (<i>Calidris mauri</i>) and American avocets (<i>Recurvirostra Americana</i>)","interactions":[],"lastModifiedDate":"2017-05-09T09:03:44","indexId":"70159399","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Science foundation Chapter 5 Appendix 5.1: Case study shore birds: Western sandpipers (<i>Calidris mauri</i>) and American avocets (<i>Recurvirostra Americana</i>)","docAbstract":"<p>Western sandpipers (<i>Calidris mauri</i>) are small (22-35 g) sexually dimorphic sandpipers, with males typically smaller than females. Western sandpipers frequently occur in mixed species flocks along with other Calidris species, including least sandpipers (<i>Calidris minutilla</i>) and dunlin (<i>Calidris alpina</i>), in the San Francisco Bay Estuary (SFBE) and are the most abundant shorebird species found from fall to spring. Western sandpipers are one of the most common shorebird species in SFBE, the Pacific Flyway, and North America overall. The largest concentrations of western sandpipers, and of most shorebirds, are found in the South Bay where large expanses of mudflats are exposed at low tide and managed and/or salt ponds are available for high tide roosting and feeding habitat (Warnock et al 2002, Warnock and Takekawa 1995). In recent years, there is some evidence that there has been a shift in shorebird numbers towards the North Bay, perhaps as large salt pond restoration projects provide interim mud flat habitat during the evolution towards tidal marsh habitat (Pitkin and Wood, 2011).</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The baylands and climate change what we can do: Baylands ecosystem habitat goals science update 2015","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"California State Coastal Conservancy","usgsCitation":"Strong, C., and Ackerman, J., 2015, Science foundation Chapter 5 Appendix 5.1: Case study shore birds: Western sandpipers (<i>Calidris mauri</i>) and American avocets (<i>Recurvirostra Americana</i>), 8 p.","productDescription":"8 p.","ipdsId":"IP-060616","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":340980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310649,"type":{"id":15,"text":"Index Page"},"url":"https://baylandsgoals.org/case-studies/"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.29406738281249,\n              36.86204269508728\n            ],\n            [\n              -120.8551025390625,\n              36.86204269508728\n            ],\n            [\n              -120.8551025390625,\n              38.44498466889473\n            ],\n            [\n              -123.29406738281249,\n              38.44498466889473\n            ],\n            [\n              -123.29406738281249,\n              36.86204269508728\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d539e4b0e541a03d4529","contributors":{"authors":[{"text":"Strong, Cheryl","contributorId":149428,"corporation":false,"usgs":false,"family":"Strong","given":"Cheryl","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":578406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":578405,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159477,"text":"70159477 - 2015 - Gunnison Sage-Grouse <i>Centrocercus minimus</i>","interactions":[],"lastModifiedDate":"2017-12-27T14:59:45","indexId":"70159477","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Gunnison Sage-Grouse <i>Centrocercus minimus</i>","docAbstract":"<p>No abstract available</p>","language":"English","publisher":"Birds of North America","usgsCitation":"Young, J., Braun, C., Oyler-McCance, S.J., Aldridge, C.L., Magee, P., and Schroeder, M.A., 2015, Gunnison Sage-Grouse <i>Centrocercus minimus</i>, HTML document.","productDescription":"HTML document","ipdsId":"IP-065864","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":310987,"type":{"id":15,"text":"Index Page"},"url":"https://bna.birds.cornell.edu/bna/species/721/articles/introduction"},{"id":340730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.09423828125,\n              37.666429212090605\n            ],\n            [\n              -105.35888671875,\n              37.666429212090605\n            ],\n            [\n              -105.35888671875,\n              39.62261494094297\n            ],\n            [\n              -109.09423828125,\n              39.62261494094297\n            ],\n            [\n              -109.09423828125,\n              37.666429212090605\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099aaee4b0fc4e449157f4","contributors":{"authors":[{"text":"Young, Jessica R.","contributorId":50837,"corporation":false,"usgs":true,"family":"Young","given":"Jessica R.","affiliations":[],"preferred":false,"id":579133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braun, Clait E.","contributorId":97169,"corporation":false,"usgs":true,"family":"Braun","given":"Clait E.","affiliations":[],"preferred":false,"id":579134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":579132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":579135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magee, Patrick","contributorId":149678,"corporation":false,"usgs":false,"family":"Magee","given":"Patrick","email":"","affiliations":[{"id":6693,"text":"Western State Colorado University","active":true,"usgs":false}],"preferred":false,"id":579136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schroeder, Michael A.","contributorId":26053,"corporation":false,"usgs":true,"family":"Schroeder","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":579137,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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