Sampling of sea ducks for influenza A viruses in Alaska during winter provided no evidence for an epidemiologic peak of infection. Isolates were recovered, however, that provide information on viral diversity and dispersal that may not be realized through sampling efforts focused on other avian taxa.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2015-03-057","usgsCitation":"Ramey, A.M., Reeves, A.B., Poulson, R.L., Wasley, J., Esler, D., and Stalknecht, D.E., 2015, Sampling of sea ducks for influenza A viruses in Alaska during winter provides lack of evidence for epidemiological peak of infection.: Journal of Wildlife Diseases, v. 51, no. 4, p. 938-941, https://doi.org/10.7589/2015-03-057.","productDescription":"4 p.","startPage":"938","endPage":"941","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064158","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":472179,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/2015-03-057","text":"Publisher Index Page"},{"id":312093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound, St. Paul Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -148.1396484375,\n 60.261617082844616\n ],\n [\n -148.1396484375,\n 60.95711072549826\n ],\n [\n -145.7666015625,\n 60.95711072549826\n ],\n [\n -145.7666015625,\n 60.261617082844616\n ],\n [\n -148.1396484375,\n 60.261617082844616\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -170.48583984375,\n 57.10940213852767\n ],\n [\n -170.48583984375,\n 57.271618718194446\n ],\n [\n -170.07110595703125,\n 57.271618718194446\n ],\n [\n -170.07110595703125,\n 57.10940213852767\n ],\n [\n -170.48583984375,\n 57.10940213852767\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566ab06ae4b09cfe53ca4509","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":581741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":581742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":68669,"corporation":false,"usgs":true,"family":"Poulson","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":581745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wasley, Jeff","contributorId":150465,"corporation":false,"usgs":false,"family":"Wasley","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":581746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":581743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stalknecht, David E.","contributorId":150466,"corporation":false,"usgs":false,"family":"Stalknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":581747,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189526,"text":"70189526 - 2015 - Characterization of hydraulic fracturing flowback water in Colorado: Implications for water treatment","interactions":[],"lastModifiedDate":"2018-09-04T16:29:04","indexId":"70189526","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of hydraulic fracturing flowback water in Colorado: Implications for water treatment","docAbstract":"A suite of analytical tools was applied to thoroughly analyze the chemical composition of an oil/gas well flowback water from the Denver–Julesburg (DJ) basin in Colorado, and the water quality data was translated to propose effective treatment solutions tailored to specific reuse goals. Analysis included bulk quality parameters, trace organic and inorganic constituents, and organic matter characterization. The flowback sample contained salts (TDS = 22,500 mg/L), metals (e.g., iron at 81.4 mg/L) and high concentration of dissolved organic matter (DOC = 590 mgC/L). The organic matter comprised fracturing fluid additives such as surfactants (e.g., linear alkyl ethoxylates) and high levels of acetic acid (an additives' degradation product), indicating the anthropogenic impact on this wastewater. Based on the water quality results and preliminary treatability tests, the removal of suspended solids and iron by aeration/precipitation (and/or filtration) followed by disinfection was identified as appropriate for flowback recycling in future fracturing operations. In addition to these treatments, a biological treatment (to remove dissolved organic matter) followed by reverse osmosis desalination was determined to be necessary to attain water quality standards appropriate for other water reuse options (e.g., crop irrigation). The study provides a framework for evaluating site-specific hydraulic fracturing wastewaters, proposing a suite of analytical methods for characterization, and a process for guiding the choice of a tailored treatment approach.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.01.043","usgsCitation":"Lester, Y., Ferrer, I., Thurman, E.M., Sitterley, K.A., Korak, J.A., Aiken, G.R., and Linden, K.G., 2015, Characterization of hydraulic fracturing flowback water in Colorado: Implications for water treatment: Science of the Total Environment, v. 512-513, p. 637-644, https://doi.org/10.1016/j.scitotenv.2015.01.043.","productDescription":"8 p.","startPage":"637","endPage":"644","ipdsId":"IP-062886","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","volume":"512-513","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5969d82de4b0d1f9f060a1a1","contributors":{"authors":[{"text":"Lester, Yaal","contributorId":194687,"corporation":false,"usgs":false,"family":"Lester","given":"Yaal","email":"","affiliations":[],"preferred":false,"id":705041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrer, Imma","contributorId":68606,"corporation":false,"usgs":true,"family":"Ferrer","given":"Imma","affiliations":[],"preferred":false,"id":705042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thurman, E. 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George discovered that giant earthquakes result from tens of meters of seismic slip on subduction megathrusts, and he did this before the theory of plate tectonics had become a paradigm. The discovery was founded on George's comprehensive mapping of land-level changes in the aftermath of the 1964 earthquake in Alaska, and on his follow-up mapping, in 1968, in the region of the 1960 earthquakes in Chile. The mapping showed paired, parallel belts of coseismic uplift largely offshore and coseismic subsidence mostly onshore – a pattern now familiar as the initial condition assumed in simulations of subduction-zone tsunamis. George recognized, moreover, that splay faulting can play a major role in tsunami generation, and he also distinguished carefully between tectonic and landslide sources for the multiple tsunamis that accounted for nearly all the fatalities associated with the 1964 Alaska earthquake. George's classic monographs on the 1964 earthquake include findings on subduction-zone paleoseismology that he soon extended to include stratigraphic evidence for cyclic vertical deformation at the Copper River Delta, as well as recurrent uplift evidenced by flights of marine terraces at Middleton Island. As a geologist of earthquakes, George also clarified the tectonics and hazards of crustal faulting in Alaska, California, and other areas worldwide. All the while, George was mapping bedrock geology in Alaska, where he contributed importantly to today's understanding of how terranes were accreted and modified. Especially important was his documentation of the origin, movement, subduction, and collision of the Yakutat terrane in southern Alaska.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2014.11.010","usgsCitation":"Fuis, G.S., Haeussler, P.J., and Atwater, B., 2015, A tribute to George Plafker: Quaternary Science Reviews, v. 113, p. 3-7, https://doi.org/10.1016/j.quascirev.2014.11.010.","productDescription":"5 p.","startPage":"3","endPage":"7","ipdsId":"IP-057685","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":488770,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.quascirev.2014.11.010","text":"External Repository"},{"id":353927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeebcfe4b0da30c1bfc682","contributors":{"authors":[{"text":"Fuis, Gary S. 0000-0002-3078-1544","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":204656,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":734601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":734602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwater, Brian F. 0000-0003-1155-2815","orcid":"https://orcid.org/0000-0003-1155-2815","contributorId":204658,"corporation":false,"usgs":true,"family":"Atwater","given":"Brian F.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":734603,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173616,"text":"70173616 - 2015 - Consequences of habitat change and resource selection specialization for population limitation in cavity-nesting birds","interactions":[],"lastModifiedDate":"2016-06-09T15:45:15","indexId":"70173616","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of habitat change and resource selection specialization for population limitation in cavity-nesting birds","docAbstract":"Soil temperature (Ts ) change is a key indicator of the dynamics of permafrost. On seasonal and inter-annual time scales, the variability of Ts determines the active layer depth, which regulates hydrological soil properties and biogeochemical processes. On the multi-decadal scale, increasing T 5 s not only drives permafrost thaw/retreat, but can also trigger and accelerate the decomposition of soil organic carbon. The magnitude of permafrost carbon feedbacks is thus closely linked to the rate of change of soil thermal regimes. In this study, we used nine process-based ecosystem models with permafrost processes, all forced by different observation-based climate forcing during the period 1960–2000, to characterize the warming rate of Ts 10 in permafrost regions. There is a large spread of Ts trends at 20 cm depth across the models, with trend values ranging from 0.010 ± 0.003 to 0.031 ± 0.005 ◦C yr−1 . Most models show smaller increase in Ts with increasing depth. Air temperature (Ta ) and longwave downward radiation (LWDR) are the main drivers of Ts trends, but their relative contributions differ 15 amongst the models. Different trends of LWDR used in the forcing of models can explain 61 % of their differences in Ts trends, while trends of Ta only explain 5 % of the differences in Ts trends. Uncertain climate forcing contributes a larger uncertainty in Ts trends (0.021 ± 0.008 ◦C yr−1 , mean ± SD) than the uncertainty of model structure (0.012 ± 0.001 ◦C yr−1 ), diagnosed from the range of response between different mod- 20 els, normalized to the same forcing. In addition, the loss rate of near-surface permafrost area, defined as total area where the maximum seasonal active layer thickness (ALT) is less than 3 m loss rate is found to be significantly correlated with the magnitude of the trends of Ts at 1 m depth across the models (R = −0.85, P = 0.003), but not with the initial total near-surface permafrost area (R = −0.30, P = 0.438). The sensitivity of the total boreal near-surface permafrost area to T 25 s at 1 m, is estimated to be of −2.80 ± 0.67 million km2 ◦C −1 . Finally, by using two long-term LWDR datasets and relationships between trends of LWDR and Ts across models, we infer an observationconstrained total boreal near-surface permafrost area decrease comprised between 39 ± 14 × 103 and 75 ± 14 × 103 km2 yr−1 from 1960 to 2000. This corresponds to 9– 18 % degradation of the current permafrost area.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-10-179-2016","usgsCitation":"Peng, S., Ciais, P., Wang, T., Gouttevin, I., McGuire, A., Lawrence, D., Burke, E., Chen, X., Delire, C., Koven, C., MacDougall, A., Rinke, A., Saito, K., Zhang, W., Alkama, R., Bohn, T.J., Decharme, B., Hajima, T., Ji, D., Lettenmaier, D., Miller, P., Moore, J., Smith, B., and Sueyoshi, T., 2015, Simulated high-latitude soil thermal dynamics during the past four decades: Cryosphere Discussions, v. 9, p. 2301-2337, https://doi.org/10.5194/tc-10-179-2016.","productDescription":"37 p.","startPage":"2301","endPage":"2337","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063588","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":472178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-10-179-2016","text":"Publisher Index Page"},{"id":319364,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-20","publicationStatus":"PW","scienceBaseUri":"56f50fd2e4b0f59b85e1ebbb","contributors":{"authors":[{"text":"Peng, S.","contributorId":68688,"corporation":false,"usgs":true,"family":"Peng","given":"S.","email":"","affiliations":[],"preferred":false,"id":623658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ciais, P.","contributorId":39604,"corporation":false,"usgs":true,"family":"Ciais","given":"P.","affiliations":[],"preferred":false,"id":623659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, T.","contributorId":53707,"corporation":false,"usgs":true,"family":"Wang","given":"T.","affiliations":[],"preferred":false,"id":623660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gouttevin, I.","contributorId":167818,"corporation":false,"usgs":false,"family":"Gouttevin","given":"I.","affiliations":[],"preferred":false,"id":623661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. 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However, larval fish sampling can be time intensive and costly. We sought to understand the spatial and temporal structure of larval fish communities in the St. Clair–Detroit River system, Michigan–Ontario, to determine whether targeted larval fish sampling can be made more efficient for long-term monitoring. We found that larval fish communities were highly nested, with lower river segments and late-spring samples containing the highest genus richness of larval fish. We created four sampling scenarios for each river system: (1) using all available data, (2) limiting temporal sampling to late spring, (3) limiting spatial sampling to lower river segments only, and (4) limiting both spatial and temporal sampling. By limiting the spatial extent of sampling to lower river sites and/or limiting the temporal extent to the late-spring period, we found that effort could be reduced by more than 50% while maintaining over 75% of the observed and estimated total genus richness. Similarly, limiting the sampling effort to lower river sites and/or the late-spring period maintained between 65% and 93% of the observed richness of lithophilic-spawning genera and invasive genera. In general, community composition remained consistent among sampling scenarios. Targeted sampling offers a lower-cost alternative to exhaustive spatial and temporal sampling and may be more readily incorporated into long-term monitoring.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2014.996687","usgsCitation":"Pritt, J., Roseman, E., Ross, J.E., and DeBruyne, R.L., 2015, Using larval fish community structure to guide long-term monitoring of fish spawning activity: North American Journal of Fisheries Management, v. 35, no. 2, p. 241-252, https://doi.org/10.1080/02755947.2014.996687.","productDescription":"12 p.","startPage":"241","endPage":"252","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059796","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":306444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"Detroit River, St. Clair River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n 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Alaska","interactions":[],"lastModifiedDate":"2018-05-07T21:04:49","indexId":"70003495","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":102,"text":"Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"2015-2","title":"Reconnaissance investigation of the Lisburne Group in the Cobblestone Creek area, Chandler Lake quadrangle, Alaska","docAbstract":"A reconnaissance investigation of the Carboniferous Lisburne Group in the Cobblestone Creek area, Chandler Lake Quadrangle, yields insights into its resource potential and regional relations. Locally porous vuggy dolostone with hydrocarbon reservoir potential occurs in the lower Lisburne in the three most southerly of five thrust sheets, and contains traces of dead oil in two of these sheets. The dolostones are coarse crystalline, commonly cross-bedded, and at least in part of Osagean (late Early Mississippian) age; they have pelmatozoan grainstone protoliths that likely formed in sand shoals of the midramp to inner ramp. Similar, coeval porous dolostones occur in the Lisburne from Skimo Creek to Itkillik Lake, ~70 km west and 10 km east of the Cobblestone Creek area, respectively. We also examined the uppermost Lisburne Group at several localities in the Cobblestone Creek area, mainly in the northernmost thrust sheet where the rocks are as young as Morrowan (Early Pennsylvanian). Cobblestone sections contain more supportstone than equivalent strata at Skimo Creek, and overlying Permian successions also differ between the two areas. These lithologic contrasts may reflect different rates of tectonically controlled subsidence, and (or) changes in sediment input, along the late Paleozoic continental margin.
","language":"English","doi":"10.14509/29403","usgsCitation":"Dumoulin, J.A., and Whalen, M.T., 2015, Reconnaissance investigation of the Lisburne Group in the Cobblestone Creek area, Chandler Lake quadrangle, Alaska: Alaska Division of Geological & Geophysical Surveys Preliminary Interpretive Report 2015-2, 17 p., https://doi.org/10.14509/29403.","productDescription":"17 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011242","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":472180,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29403","text":"Publisher Index Page"},{"id":299888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chandler Lake Quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -151.5289306640625,\n 68.22256132239606\n ],\n [\n -151.5289306640625,\n 68.56640647198128\n ],\n [\n -149.12841796875,\n 68.56640647198128\n ],\n [\n -149.12841796875,\n 68.22256132239606\n ],\n [\n -151.5289306640625,\n 68.22256132239606\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"553f5db8e4b0a658d7938cf9","contributors":{"editors":[{"text":"Wartes, M. A.","contributorId":121544,"corporation":false,"usgs":true,"family":"Wartes","given":"M. A.","affiliations":[],"preferred":false,"id":519954,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Decker, P. L.","contributorId":121525,"corporation":false,"usgs":true,"family":"Decker","given":"P.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":519953,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":512690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whalen, Michael T.","contributorId":31852,"corporation":false,"usgs":true,"family":"Whalen","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":545616,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70159322,"text":"70159322 - 2015 - Diverse juvenile life-history behaviours contribute to the spawning stock of an anadromous fish population","interactions":[],"lastModifiedDate":"2015-10-22T10:09:16","indexId":"70159322","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Diverse juvenile life-history behaviours contribute to the spawning stock of an anadromous fish population","docAbstract":"Habitat quality often varies substantially across space and time, producing a shifting mosaic of growth and mortality trade-offs across watersheds. Traditional studies of juvenile habitat use have emphasised the evolution of single optimal strategies that maximise recruitment to adulthood and eventual fitness. However, linking the distribution of individual behaviours that contribute to recruitment at the population level has been elusive, particularly for highly fecund aquatic organisms. We examined juvenile habitat use within a population of sockeye salmon (Oncorhynchus nerka) that spawn in a watershed consisting of two interconnected lakes and a marine lagoon. Otolith microchemical analysis revealed that the productive headwater lake accounted for about half of juvenile growth for those individuals surviving to spawn in a single river in the upper watershed. However, 47% of adults had achieved more than half of their juvenile growth in the downstream less productive lake, and 3% of individuals migrated to the estuarine environment during their first summer and returned to freshwater to overwinter before migrating back to sea. These results describe a diversity of viable habitat-use strategies by juvenile sockeye salmon that may buffer the population against poor conditions in any single rearing environment, reduce density-dependent mortality and have implications for the designation of critical habitat for conservation purposes. A network of accessible alternative habitats providing trade-offs in growth and survival may be important for long-term viability of populations.
","language":"English","publisher":"Wiley","doi":"10.1111/eff.12135","usgsCitation":"Walsworth, T.E., Schindler, D.E., Griffiths, J.R., and Zimmerman, C.E., 2015, Diverse juvenile life-history behaviours contribute to the spawning stock of an anadromous fish population: Ecology of Freshwater Fish, v. 24, p. 204-213, https://doi.org/10.1111/eff.12135.","productDescription":"10 p.","startPage":"204","endPage":"213","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051242","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":310362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chignik Lake system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -159.1094970703125,\n 56.22579478256016\n ],\n [\n -159.1094970703125,\n 56.49813356805866\n ],\n [\n -158.4132385253906,\n 56.49813356805866\n ],\n [\n -158.4132385253906,\n 56.22579478256016\n ],\n [\n -159.1094970703125,\n 56.22579478256016\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-03","publicationStatus":"PW","scienceBaseUri":"562a08bae4b011227bf1fd47","contributors":{"authors":[{"text":"Walsworth, Timothy E.","contributorId":149336,"corporation":false,"usgs":false,"family":"Walsworth","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":13190,"text":"School of Aquatic and Fishery Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":578009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schindler, Daniel E.","contributorId":83485,"corporation":false,"usgs":true,"family":"Schindler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":578010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Jennifer R.","contributorId":149337,"corporation":false,"usgs":false,"family":"Griffiths","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[{"id":13190,"text":"School of Aquatic and Fishery Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":578011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":578008,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187300,"text":"70187300 - 2015 - Total protein concentration and diagnostic test results for gray wolf (Canis lupus) serum using Nobuto filter paper strips","interactions":[],"lastModifiedDate":"2017-04-27T15:10:15","indexId":"70187300","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Total protein concentration and diagnostic test results for gray wolf (Canis lupus) serum using Nobuto filter paper strips","docAbstract":"Nobuto filter paper strips are widely used for storing blood-serum samples, but the recovery of proteins from these strips following rehydration is unknown. Poor recovery of proteins could reduce the concentration of antibodies and antigens and reduce the sensitivity of diagnostic assays. We compared the protein concentration, and its association with test sensitivity, of eluted Nobuto strip samples with paired sera. We collected and froze serum from five gray wolves (Canis lupus) for 8 mo. When thawed, we used a spectrophotometer (absorbance 280 nm) to determine the serum protein concentration for paired sera and Nobuto eluates for each animal in 2-fold serial dilutions. Total protein concentration was similar for both sample storage methods (Nobuto eluates and control sera), except for the undiluted samples in which Nobuto eluates had higher total protein concentrations. Both sample storage methods appear to produce similar results using the SNAP® 4Dx® Test to detect antibodies against pathogens causing Lyme disease, anaplasmosis, and ehrlichiosis as well as antigen for canine heartworm disease.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2013-07-185","usgsCitation":"Jara, R.F., Sepulveda, C., Ip, S., and Samuel, M.D., 2015, Total protein concentration and diagnostic test results for gray wolf (Canis lupus) serum using Nobuto filter paper strips: Journal of Wildlife Diseases, v. 51, no. 2, p. 475-478, https://doi.org/10.7589/2013-07-185.","productDescription":"4 p.","startPage":"475","endPage":"478","ipdsId":"IP-046234","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472173,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/2013-07-185","text":"Publisher Index Page"},{"id":340533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59030328e4b0e862d230f745","contributors":{"authors":[{"text":"Jara, Rocio F.","contributorId":191491,"corporation":false,"usgs":false,"family":"Jara","given":"Rocio","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":693249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Carolina","contributorId":191492,"corporation":false,"usgs":false,"family":"Sepulveda","given":"Carolina","email":"","affiliations":[],"preferred":false,"id":693250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":693251,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693232,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186942,"text":"70186942 - 2015 - Seismic source dynamics of gas-piston activity at Kı̄lauea Volcano, Hawai‘i","interactions":[],"lastModifiedDate":"2017-04-14T15:58:16","indexId":"70186942","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Seismic source dynamics of gas-piston activity at Kı̄lauea Volcano, Hawai‘i","docAbstract":"Since 2008, eruptive activity at the summit of Kı̄lauea Volcano, Hawai‘i has been confined to the new Overlook pit crater within the Halema‘uma‘u Crater. Among the broad range of magmatic processes observed in the new pit are recurring episodes of gas pistoning. The gas-piston activity is accompanied by seismic signals that are recorded by a broadband network deployed in the summit caldera. We use raw data recorded with this network to model the source mechanism of representative gas-piston events in a sequence that occurred on 20–25 August 2011 during a gentle inflation of the Kı̄lauea summit. To determine the source centroid location and source mechanism, we minimize the residual error between data and synthetics calculated by the finite difference method for a point source embedded in a homogeneous medium that takes topography into account. We apply a new waveform inversion method that accounts for the contributions from both translation and tilt in horizontal seismograms through the use of Green's functions representing the seismometer response to translation and tilt ground motions. This method enables a robust description of the source mechanism over the period range 1–10,000 s. Most of the seismic wavefield produced by gas-pistoning originates in a source region ∼1 km below the eastern perimeter of the Halema‘uma‘u pit crater. The observed waveforms are well explained by a simple volumetric source with geometry composed of two intersecting cracks featuring an east striking crack (dike) dipping 80°to the north, intersecting a north striking crack (another dike) dipping 65° to the east. Each gas-piston event is marked by a similar rapid inflation lasting a few minutes, trailed by a slower deflation ramp extending up to 15 min, attributed to the efficient coupling at the source centroid location of the pressure and momentum changes accompanying the growth and collapse of a layer of foam at the top of the lava column. Assuming a simple lumped parameter representation of the shallow magmatic system, the observed pressure and volume variations can be modeled with the following attributes : foam thickness (10–50 m), foam cell diameter (0.04–0.10 m), and gas-injection velocity (0.01–0.06 m s−1). Gas-piston activity occurs in a narrow pipe with diameter of 6 m connecting the Halema‘uma‘u pit crater to the subjacent dike system. The height of the magma column is estimated at ∼104 m at the start of the sequence based on the period of very long period (VLP) oscillations accompanying the onset of the gas-piston signal. Based on the change in the period of VLP oscillations and tilt evidence, the height of the magma column is inferred to have risen by up to ∼23 m by the end of the 5 day long sequence. A penny-shaped crack model of the dike geometry yields effective diameters of ∼1.2–2.9 km for the east dike and 0.7 km for the north dike. The shallower north dike segment is embedded in a relatively weak medium, compatible with expected mechanical properties in the hydrothermal environment of this dike.
","language":"English","publisher":"AGU","doi":"10.1002/2014JB011789","usgsCitation":"Chouet, B.A., and Dawson, P.B., 2015, Seismic source dynamics of gas-piston activity at Kı̄lauea Volcano, Hawai‘i: Journal of Geophysical Research B: Solid Earth, v. 120, no. 4, p. 2525-2560, https://doi.org/10.1002/2014JB011789.","productDescription":"36 p.","startPage":"2525","endPage":"2560","ipdsId":"IP-060423","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011789","text":"Publisher Index Page"},{"id":339764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kı̄lauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.29844284057614,\n 19.39560613575417\n ],\n [\n -155.23861885070798,\n 19.39560613575417\n ],\n [\n -155.23861885070798,\n 19.43227671629882\n ],\n [\n -155.29844284057614,\n 19.43227671629882\n ],\n [\n -155.29844284057614,\n 19.39560613575417\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"120","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-17","publicationStatus":"PW","scienceBaseUri":"58f1e0cae4b08144348b7e0f","contributors":{"authors":[{"text":"Chouet, Bernard A. 0000-0001-5527-0532 chouet@usgs.gov","orcid":"https://orcid.org/0000-0001-5527-0532","contributorId":3304,"corporation":false,"usgs":true,"family":"Chouet","given":"Bernard","email":"chouet@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":691079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, Phillip B. dawson@usgs.gov","contributorId":2751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":691080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70128708,"text":"70128708 - 2015 - Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave","interactions":[],"lastModifiedDate":"2016-07-08T14:42:20","indexId":"70128708","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2201,"text":"Journal of Cave and Karst Studies","active":true,"publicationSubtype":{"id":10}},"title":"Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave","docAbstract":"Stable-isotope analyses are valuable in karst settings, where characterizing biogeochemical cycling of carbon along groundwater flow paths is critical for understanding and protecting sensitive cave and karst water resources. This study quantified the seasonal changes in concentration and isotopic composition (δ13C) of aqueous and gaseous carbon species—dissolved inorganic carbon (DIC) and gaseous carbon dioxide (CO2)—to characterize sources and transfer of these species along a karst flow path, with emphasis on a cave environment. Gas and water samples were collected from the soil and a cave in northwestern Arkansas approximately once a month for one year to characterize carbon cycling along a conceptual groundwater flow path. In the soil, as the DIC concentration increased, the isotopic composition of the DIC became relatively lighter, indicating an organic carbon source for a component of the DIC and corroborating soil DIC as a proxy for soil respiration. In the cave, a positive correlation between DIC and surface temperature was due to increased soil respiration as the organic carbon signal from the soil was transferred to the cave environment via the aqueous phase. CO2 concentration was lowest in the cave during colder months and increased exponentially with increasing surface temperature, presumably due to higher rates of soil respiration during warmer periods and changing ventilation patterns between the surface and cave atmosphere. Isotopic disequilibrium between CO2 and DIC in the cave was greatest when CO2 concentration was changing during November/ December and March/April, presumably due to the rapid addition or removal of gaseous CO2. The isotopic disequilibrium between DIC and CO2 provided evidence that cave CO2 was a mixture of carbon from several sources, which was mostly constrained by mixture between atmospheric CO2 and soil CO2. The concentration and isotopic composition of gaseous and aqueous carbon species were controlled by month-to-month variations in temperature and precipitation and provided insight into the sources of carbon in the cave. Stable carbon isotope ratios provided an effective tool to explore carbon transfer from the soil zone and into the cave, identify carbon sources in the cave, and investigate how seasonality affected the transfer of carbon in a shallow karst system.
","language":"English","publisher":"National Speleological Society","doi":"10.4311/2011ES0264","usgsCitation":"Knierim, K., Pollock, E., Hays, P.D., and Khojasteh, J., 2015, Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave: Journal of Cave and Karst Studies, v. 77, no. 1, p. 12-27, https://doi.org/10.4311/2011ES0264.","productDescription":"16 p.","startPage":"12","endPage":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060256","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":472176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4311/2011es0264","text":"Publisher Index Page"},{"id":324944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cec2e4b08116168223fb","contributors":{"authors":[{"text":"Knierim, Katherine J. kknierim@usgs.gov","contributorId":5991,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine J.","email":"kknierim@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Erik","contributorId":146296,"corporation":false,"usgs":false,"family":"Pollock","given":"Erik","affiliations":[],"preferred":false,"id":641975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":641976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Khojasteh, Jam","contributorId":172772,"corporation":false,"usgs":false,"family":"Khojasteh","given":"Jam","email":"","affiliations":[],"preferred":false,"id":641977,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70129402,"text":"70129402 - 2015 - Testing a small UAS for mapping artisanal diamond mining sites in Africa","interactions":[],"lastModifiedDate":"2023-02-10T17:36:27.019846","indexId":"70129402","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Testing a small UAS for mapping artisanal diamond mining sites in Africa","docAbstract":"Remote sensing technology is advancing at an unprecedented rate. At the forefront of the new technological developments are unmanned aircraft systems (UAS). The advent of small, lightweight, low-cost, and user-friendly UAS is greatly expanding the potential applications of remote sensing technology and improving the set of tools available to researchers seeking to map and monitor terrain from above. In this article, we explore the applications of a small UAS for mapping informal diamond mining sites in Africa. We found that this technology provides aerial imagery of unparalleled resolution in a data-sparse, difficult to access, and remote terrain.
","language":"English","publisher":"Elsevier","doi":"10.1016/S0099-1112(15)30066-5","usgsCitation":"Malpeli, K.C., and Chirico, P., 2015, Testing a small UAS for mapping artisanal diamond mining sites in Africa: Photogrammetric Engineering and Remote Sensing, v. 81, no. 4, p. 258-263, https://doi.org/10.1016/S0099-1112(15)30066-5.","productDescription":"6 p.","startPage":"258","endPage":"263","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060469","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":324941,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324940,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/abs/pii/S0099111215300665","linkFileType":{"id":5,"text":"html"}}],"country":"Guinea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -13.941650390625,\n 9.009876988275504\n ],\n [\n -13.941650390625,\n 9.958029972336426\n ],\n [\n -12.480468749999998,\n 9.958029972336426\n ],\n [\n -12.480468749999998,\n 9.009876988275504\n ],\n [\n -13.941650390625,\n 9.009876988275504\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"81","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cebfe4b08116168223ce","contributors":{"authors":[{"text":"Malpeli, Katherine C. kmalpeli@usgs.gov","contributorId":4955,"corporation":false,"usgs":true,"family":"Malpeli","given":"Katherine","email":"kmalpeli@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":519864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chirico, Peter G. pchirico@usgs.gov","contributorId":2659,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","email":"pchirico@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":519863,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70136285,"text":"70136285 - 2015 - Insufficient sampling to identify species affected by turbine collisions","interactions":[],"lastModifiedDate":"2016-07-08T11:53:05","indexId":"70136285","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Insufficient sampling to identify species affected by turbine collisions","docAbstract":"We compared the number of avian species detected and the sampling effort during fatality monitoring at 50 North American wind facilities. Facilities with short intervals between sampling events and high effort detected more species, but many facilities appeared undersampled. Species accumulation curves for 2 wind facilities studied for more than 1 year had yet to reach an asymptote. The monitoring effort that is typically invested is likely inadequate to identify all of the species killed by wind turbines. This may understate impacts for rare species of conservation concern that collide infrequently with turbines but suffer disproportionate consequences from those fatalities. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.852","usgsCitation":"Beston, J.A., Diffendorfer, J., and Loss, S., 2015, Insufficient sampling to identify species affected by turbine collisions: Journal of Wildlife Management, v. 79, no. 3, p. 513-517, https://doi.org/10.1002/jwmg.852.","productDescription":"5 p.","startPage":"513","endPage":"517","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057836","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":472175,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/jwmg.852","text":"External Repository"},{"id":324916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"3","noUsgsAuthors":false,"publicationDate":"2015-03-05","publicationStatus":"PW","scienceBaseUri":"5780cebae4b0811616822371","contributors":{"authors":[{"text":"Beston, Julie A. jbeston@usgs.gov","contributorId":5673,"corporation":false,"usgs":true,"family":"Beston","given":"Julie","email":"jbeston@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":537295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":537296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loss, Scott","contributorId":131107,"corporation":false,"usgs":false,"family":"Loss","given":"Scott","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":537297,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70127679,"text":"70127679 - 2015 - Coastal evidence for Holocene subduction-zone earthquakes and tsunamis in central Chile","interactions":[],"lastModifiedDate":"2016-07-08T14:51:33","indexId":"70127679","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Coastal evidence for Holocene subduction-zone earthquakes and tsunamis in central Chile","docAbstract":"The ∼500-year historical record of seismicity along the central Chile coast (30–34°S) is characterized by a series of ∼M 8.0–8.5 earthquakes followed by low tsunamis (<4 m) occurring on the megathrust about every 80 years. One exception is the AD 1730 great earthquake (M 9.0–9.5) and high tsunami (>10 m), but the frequency of such large events is unknown. We extend the seismic history of central Chile through a study of a lowland stratigraphic sequence along the metropolitan coast north of Valparaíso (33°S). At this site, higher relative sea level during the mid Holocene created a tidal marsh and the accommodation space necessary for sediment that preserves earthquake and tsunami evidence. Within this 2600-yr-long sequence, we traced six laterally continuous sand beds probably deposited by high tsunamis. Plant remains that underlie the sand beds were radiocarbon dated to 6200, 5600, 5000, 4400, 3800, and 3700 cal yr BP. Sediment properties and diatom assemblages of the sand beds—for example, anomalous marine planktonic diatoms and upward fining of silt-sized diatom valves—point to a marine sediment source and high-energy deposition. Grain-size analysis shows a strong similarity between inferred tsunami deposits and modern coastal sediment. Upward fining sequences characteristic of suspension deposition are present in five of the six sand beds. Despite the lack of significant lithologic changes between the sedimentary units under- and overlying tsunami deposits, we infer that the increase in freshwater siliceous microfossils in overlying units records coseismic uplift concurrent with the deposition of five of the sand beds. During our mid-Holocene window of evidence preservation, the mean recurrence interval of earthquakes and tsunamis is ∼500 years. Our findings imply that the frequency of historical earthquakes in central Chile is not representative of the greatest earthquakes and tsunamis that the central Chilean subduction zone has produced.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2014.10.015","usgsCitation":"Dure, T., Cisternas, M., Horton, B., Ely, L., Nelson, A.R., Wesson, R.L., and Pilarczyk, J., 2015, Coastal evidence for Holocene subduction-zone earthquakes and tsunamis in central Chile: Quaternary Science Reviews, v. 113, p. 93-111, https://doi.org/10.1016/j.quascirev.2014.10.015.","productDescription":"19 p.","startPage":"93","endPage":"111","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059978","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","volume":"113","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780ceb2e4b08116168222da","contributors":{"authors":[{"text":"Dure, Tina","contributorId":116577,"corporation":false,"usgs":true,"family":"Dure","given":"Tina","email":"","affiliations":[],"preferred":false,"id":519632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cisternas, Marco","contributorId":120988,"corporation":false,"usgs":true,"family":"Cisternas","given":"Marco","affiliations":[],"preferred":false,"id":519634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Benjamin","contributorId":115142,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","affiliations":[],"preferred":false,"id":519630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ely, Lisa","contributorId":119372,"corporation":false,"usgs":true,"family":"Ely","given":"Lisa","affiliations":[],"preferred":false,"id":519633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":519628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":519629,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pilarczyk, Jessica","contributorId":115777,"corporation":false,"usgs":true,"family":"Pilarczyk","given":"Jessica","affiliations":[],"preferred":false,"id":519631,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176269,"text":"70176269 - 2015 - Expanding metal mixture toxicity models to natural stream and lake invertebrate communities","interactions":[],"lastModifiedDate":"2018-09-04T15:46:20","indexId":"70176269","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Expanding metal mixture toxicity models to natural stream and lake invertebrate communities","docAbstract":"A modeling approach that was used to predict the toxicity of dissolved single and multiple metals to trout is extended to stream benthic macroinvertebrates, freshwater zooplankton, and Daphnia magna. The approach predicts the accumulation of toxicants (H, Al, Cd, Cu, Ni, Pb, and Zn) in organisms using 3 equilibrium accumulation models that define interactions between dissolved cations and biological receptors (biotic ligands). These models differ in the structure of the receptors and include a 2-site biotic ligand model, a bidentate biotic ligand or 2-pKa model, and a humic acid model. The predicted accumulation of toxicants is weighted using toxicant-specific coefficients and incorporated into a toxicity function called Tox, which is then related to observed mortality or invertebrate community richness using a logistic equation. All accumulation models provide reasonable fits to metal concentrations in tissue samples of stream invertebrates. Despite the good fits, distinct differences in the magnitude of toxicant accumulation and biotic ligand speciation exist among the models for a given solution composition. However, predicted biological responses are similar among the models because there are interdependencies among model parameters in the accumulation–Tox models. To illustrate potential applications of the approaches, the 3 accumulation–Tox models for natural stream invertebrates are used in Monte Carlo simulations to predict the probability of adverse impacts in catchments of differing geology in central Colorado (USA); to link geology, water chemistry, and biological response; and to demonstrate how this approach can be used to screen for potential risks associated with resource development.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.2824","usgsCitation":"Balistrieri, L.S., Mebane, C.A., Schmidt, T., and Keller, W., 2015, Expanding metal mixture toxicity models to natural stream and lake invertebrate communities: Environmental Toxicology and Chemistry, v. 34, no. 4, p. 761-776, https://doi.org/10.1002/etc.2824.","productDescription":"6 p.","startPage":"761","endPage":"776","ipdsId":"IP-052806","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":328301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-05","publicationStatus":"PW","scienceBaseUri":"57d13a3be4b0571647cf8dd1","chorus":{"doi":"10.1002/etc.2824","url":"http://dx.doi.org/10.1002/etc.2824","publisher":"Wiley-Blackwell","authors":"Balistrieri Laurie S., Mebane Christopher A., Schmidt Travis S., Keller Wendel Bill","journalName":"Environmental Toxicology and Chemistry","publicationDate":"3/11/2015","auditedOn":"1/11/2015"},"contributors":{"authors":[{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":648140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":648142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keller, William (Bill)","contributorId":174373,"corporation":false,"usgs":false,"family":"Keller","given":"William (Bill)","affiliations":[{"id":27441,"text":"Cooperative Freshwater Ecology Unit, Laurentian University, Sudbury, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":648143,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70128553,"text":"sir20145147 - 2015 - Sources of fine-grained sediment in the Linganore Creek watershed, Frederick and Carroll Counties, Maryland, 2008-10","interactions":[],"lastModifiedDate":"2023-03-09T18:06:31.379062","indexId":"sir20145147","displayToPublicDate":"2015-03-31T17:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5147","title":"Sources of fine-grained sediment in the Linganore Creek watershed, Frederick and Carroll Counties, Maryland, 2008-10","docAbstract":"Sediment fingerprinting quantifies the delivery of fine-grained sediment from a watershed and sediment-budget measurements quantify the erosion and deposition of fine-grained sediment. Both approaches were used in the agricultural and forested 147-square-kilometer (km2) Linganore Creek watershed in Maryland from August 1, 2008 through December 31, 2010, to determine the sources of fine-grained (less than 63 microns) sediment, and the amount of fine-grained sediment eroded from and deposited on streambanks, flood plains, channel beds, and agricultural and forested uplands. Sediment-weighted results of sediment fingerprinting for 194 suspended-sediment samples collected during 36 storms indicate that streambanks contributed 52 percent of the annual fine-grained suspended-sediment load, agriculture (cropland and pasture) contributed 45 percent, and forests contributed 3 percent. Fifty-four percent of the Linganore Creek watershed is agriculture and 27 percent is forest.
\nSediment-budget calculations were based on field measurements and photogrammetric analyses and indicated that the highest percentage of fine-grained sediment was eroded from agriculture (86 percent), followed by streambanks (10 percent), forests (3 percent), and the channel bed (less than 1 percent). Results of the sediment budget indicated that the highest percentage of fine-grained sediment was stored in ponds (57 percent), followed by flood plains (32 percent), streambanks (6 percent), and the channel bed (5 percent). Typical of most sediment budgets, the final sediment budget indicated erosion of 4.70 x 107kilograms per year (kg/yr), which is higher than the fine-grained suspended-sediment load leaving the watershed (5.45 x 106kg/yr). The differences in the sediment budget and the measured mass leaving the watershed could be due to an overestimation of erosion using the Cesium-137 method and (or) not adequately defining and measuring storage areas.
\nManagement implications of this study indicate that both agriculture and streambanks are important sources of sediment in Linganore Creek where the delivery of agriculture sediment was 4 percent and the delivery of streambank sediment was 44 percent. Fourth order streambanks, on average, had the highest rates of bank erosion. Combining the sediment fingerprinting and sediment budget results indicates that 96 percent of the eroded fine-grained sediment from agriculture went into storage. Flood plains and ponds are effective storage sites of sediment in the Linganore Creek watershed. Flood plains stored 8 percent of all eroded sediment with 4th and 5th order flood plains, on average, storing the most sediment. Small ponds in the Linganore Creek watershed, which drained 16 percent of the total watershed area, stored 15 percent of all eroded sediment. Channel beds were relatively stable with the greatest erosion generally occurring in 4th and 5th order streams.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145147","collaboration":"Prepared in cooperation with Frederick County, Maryland","usgsCitation":"Gellis, A., Noe, G., Clune, J.W., Myers, M., Hupp, C.R., Schenk, E.R., and Schwarz, G., 2015, Sources of fine-grained sediment in the Linganore Creek watershed, Frederick and Carroll Counties, Maryland, 2008-10: U.S. Geological Survey Scientific Investigations Report 2014-5147, Report: vii, 56 p.; Appendix, https://doi.org/10.3133/sir20145147.","productDescription":"Report: vii, 56 p.; Appendix","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-055863","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":299230,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145147.jpg"},{"id":299229,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5147/appendix/sir2014-5147_appendices1-13-micron.xlsx","text":"Appendix 1-13","size":"295 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":299227,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5147/"},{"id":299228,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5147/pdf/sir2014-5147.pdf","size":"3.88 MB","linkFileType":{"id":1,"text":"pdf"}}],"datum":"North American Datum of 1983","country":"United States","state":"Maryland","county":"Carroll County, Frederick County","otherGeospatial":"Linganore Creek Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.2998046875,\n 39.36668662525674\n ],\n [\n -77.2998046875,\n 39.534232843612585\n ],\n [\n -77.0529556274414,\n 39.534232843612585\n ],\n [\n -77.0529556274414,\n 39.36668662525674\n ],\n [\n -77.2998046875,\n 39.36668662525674\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bb71ce4b0323842783a30","contributors":{"authors":[{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":1709,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen C.","email":"agellis@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":519728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory B. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":2332,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":543802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clune, John W. 0000-0002-3563-1975 jclune@usgs.gov","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":864,"corporation":false,"usgs":true,"family":"Clune","given":"John","email":"jclune@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Myers, Michael K. mkmyers@usgs.gov","contributorId":5160,"corporation":false,"usgs":true,"family":"Myers","given":"Michael K.","email":"mkmyers@usgs.gov","affiliations":[{"id":375,"text":"Maryland, Delaware, and the District of Columbia Water Science Center","active":false,"usgs":true}],"preferred":false,"id":519730,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":519729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schenk, Edward R. 0000-0001-6886-5754 eschenk@usgs.gov","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":2183,"corporation":false,"usgs":true,"family":"Schenk","given":"Edward","email":"eschenk@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":543803,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":519726,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70144464,"text":"70144464 - 2015 - A comparison between boat-based and diver-based methods for quantifying coral bleaching","interactions":[],"lastModifiedDate":"2017-02-13T14:45:38","indexId":"70144464","displayToPublicDate":"2015-03-31T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A comparison between boat-based and diver-based methods for quantifying coral bleaching","docAbstract":"Recent increases in both the frequency and severity of coral bleaching events have spurred numerous surveys to quantify the immediate impacts and monitor the subsequent community response. Most of these efforts utilize conventional diver-based methods, which are inherently time-consuming, expensive, and limited in spatial scope unless they deploy large teams of scientifically-trained divers. In this study, we evaluated the effectiveness of the Along-Track Reef Imaging System (ATRIS), an automated image-acquisition technology, for assessing a moderate bleaching event that occurred in the summer of 2011 in the Florida Keys. More than 100,000 images were collected over 2.7 km of transects spanning four patch reefs in a 3-h period. In contrast, divers completed 18, 10-m long transects at nine patch reefs over a 5-day period. Corals were assigned to one of four categories: not bleached, pale, partially bleached, and bleached. The prevalence of bleaching estimated by ATRIS was comparable to the results obtained by divers, but only for corals > 41 cm in size. The coral size-threshold computed for ATRIS in this study was constrained by prevailing environmental conditions (turbidity and sea state) and, consequently, needs to be determined on a study-by-study basis. Both ATRIS and diver-based methods have innate strengths and weaknesses that must be weighed with respect to project goals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2015.02.017","usgsCitation":"Zawada, D., Ruzicka, R., and Colella, M.A., 2015, A comparison between boat-based and diver-based methods for quantifying coral bleaching: Journal of Experimental Marine Biology and Ecology, v. 467, p. 39-44, https://doi.org/10.1016/j.jembe.2015.02.017.","productDescription":"6 p.","startPage":"39","endPage":"44","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059720","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":299225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335271,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F73N21H0","text":"ATRIS Seafloor Images – West Turtle Shoal Patch Reef, Rawa Patch Reef, Dustan Rocks Patch Reef, and Thor Patch Reef, Florida, 2011"}],"country":"United States","state":"Florida","city":"Marathon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.15291595458984,\n 24.647017162630366\n ],\n [\n -81.15291595458984,\n 24.798890012311823\n ],\n [\n -80.8919906616211,\n 24.798890012311823\n ],\n [\n -80.8919906616211,\n 24.647017162630366\n ],\n [\n -81.15291595458984,\n 24.647017162630366\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"467","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bb719e4b0323842783a20","contributors":{"authors":[{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruzicka, Rob","contributorId":139978,"corporation":false,"usgs":false,"family":"Ruzicka","given":"Rob","affiliations":[{"id":13340,"text":"Fish & Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":543633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colella, Michael A.","contributorId":139979,"corporation":false,"usgs":false,"family":"Colella","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":13340,"text":"Fish & Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":543634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70144390,"text":"ofr20151032 - 2015 - U.S. Geological Survey Unmanned Aircraft Systems (UAS) Roadmap 2014","interactions":[],"lastModifiedDate":"2015-03-31T15:59:00","indexId":"ofr20151032","displayToPublicDate":"2015-03-31T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1032","title":"U.S. Geological Survey Unmanned Aircraft Systems (UAS) Roadmap 2014","docAbstract":"The U.S. Department of the Interior (DOI) is responsible for protecting the natural resources and heritage contained on almost 20 percent of the land in the United States. This responsibility requires acquisition of remotely sensed data throughout vast lands, including areas that are remote and potentially dangerous to access. One promising new technology for data collection is unmanned aircraft systems (UAS), which may be better suited (achieving superior science, safety, and savings) than traditional methods. UAS, regardless of their size, have the same operational components: aircraft, payloads, communications unit, and operator control unit. The aircraft is the platform that flies and carries any required payloads. For Department of the Interior missions these payloads will be either a sensor or set of sensors that can acquire the specific type of remotely sensed data that is needed. The aircraft will also carry the payload that is responsible for transmitting live airborne video images, compass headings, and location information to the operator control unit. The communications unit, which transfers information between the aircraft and the operator control unit, consists of the hardware and software required to establish both uplink and downlink communications. Finally, the operator control unit both controls and monitors the aircraft and can be operated either by a pilot on the ground or autonomously.
\nThis Roadmap provides operational procedures and lessons learned from completed proof-of-concept UAS missions in areas such as wildlife management, resource monitoring, and public land inspections. This information provides not only an implementation framework but can also help increase the awareness by resource managers, scientists, and others of the ability of UAS technology to advance data quality, improve personnel safety, and reduce data acquisition costs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151032","usgsCitation":"Cress, J.J., Hutt, M.E., Sloan, J.L., Bauer, M., Feller, M.R., and Goplen, S.E., 2015, U.S. Geological Survey Unmanned Aircraft Systems (UAS) Roadmap 2014: U.S. Geological Survey Open-File Report 2015-1032, vii, 60 p., https://doi.org/10.3133/ofr20151032.","productDescription":"vii, 60 p.","numberOfPages":"67","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2014-01-01","temporalEnd":"2014-12-31","ipdsId":"IP-056228","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":299224,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151032.jpg"},{"id":299222,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1032/"},{"id":299223,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1032/pdf/ofr2015-1032.pdf","size":"9.88 MB","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bb71de4b0323842783a32","contributors":{"authors":[{"text":"Cress, Jill J. jjcress@usgs.gov","contributorId":1600,"corporation":false,"usgs":true,"family":"Cress","given":"Jill","email":"jjcress@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":543569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Michael E. 0000-0002-3869-6096 mehutt@usgs.gov","orcid":"https://orcid.org/0000-0002-3869-6096","contributorId":5037,"corporation":false,"usgs":true,"family":"Hutt","given":"Michael","email":"mehutt@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":543801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sloan, Jeff L. jlsloan@usgs.gov","contributorId":3918,"corporation":false,"usgs":true,"family":"Sloan","given":"Jeff","email":"jlsloan@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":543570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bauer, Mark A. mabauer@usgs.gov","contributorId":1409,"corporation":false,"usgs":true,"family":"Bauer","given":"Mark A.","email":"mabauer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":543571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feller, Mark R. mrfeller@usgs.gov","contributorId":3904,"corporation":false,"usgs":true,"family":"Feller","given":"Mark","email":"mrfeller@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":543572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goplen, Susan E. segoplen@usgs.gov","contributorId":1790,"corporation":false,"usgs":true,"family":"Goplen","given":"Susan","email":"segoplen@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":543573,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70144507,"text":"ofr20151060 - 2015 - A 30-year chronosequence of burned areas in Arizona: effects of wildfires on vegetation in Sonoran Desert Tortoise (Gopherus morafkai) habitats","interactions":[],"lastModifiedDate":"2015-04-03T14:58:51","indexId":"ofr20151060","displayToPublicDate":"2015-03-31T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1060","title":"A 30-year chronosequence of burned areas in Arizona: effects of wildfires on vegetation in Sonoran Desert Tortoise (Gopherus morafkai) habitats","docAbstract":"Fire is widely regarded as a key evolutionary force in fire-prone ecosystems, with effects spanning multiple levels of organization, from species and functional group composition through landscape-scale vegetation structure, biomass, and diversity (Pausas and others, 2004; Bond and Keeley 2005; Pausas and Verdu, 2008). Ecosystems subjected to novel fire regimes may experience profound changes that are difficult to predict, including persistent losses of vegetation cover and diversity (McLaughlin and Bowers, 1982; Brown and Minnich, 1986; Brooks, 2012), losses to seed banks (Esque and others, 2010a), changes in demographic processes (Esque and others, 2004; DeFalco and others, 2010), increased erosion (Soulard and others, 2013), changes in nutrient availability (Esque and others, 2010b), increased dominance of invasive species (Esque and others, 2002; Brooks and others, 2004), and transitions to alternative community states (Davies and others, 2012). In the deserts of the Southwestern United States, fire size and frequency have increased substantially over the last several decades because of an invasive grass/fire feedback cycle (Schmid and Rogers, 1988; D’Antonio and Vitousek, 1992; Swantek and others, 1999; Brooks and Matchett, 2006; Esque and others, 2010a), in which invasive annual species are able to establish fuel loads capable of sustaining large-scale wildfires following years of high rainfall (Esque and Schwalbe, 2002). Native perennial vegetation is not well-adapted to fire in these environments, and widespread, physiognomically dominant species such as creosote bush (Larrea tridentata), Joshua tree (Yucca brevifolia), giant saguaro cactus (Carnegiea gigantea), and paloverde (Parkinsonia spp.) may be reduced or eliminated (Brown and Minnich, 1986; Esque and others, 2006; DeFalco and others, 2010), potentially affecting wildlife populations including the Sonoran and federally threatened Mojave Desert Tortoises (Gopherus morafkai and Gopherus agassizii, respectively; Brooks and Esque, 2002; Esque and others, 2003; Drake and others, in press).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151060","usgsCitation":"Shryock, D.F., Esque, T., and Chen, F.C., 2015, A 30-year chronosequence of burned areas in Arizona: effects of wildfires on vegetation in Sonoran Desert Tortoise (Gopherus morafkai) habitats: U.S. Geological Survey Open-File Report 2015-1060, vi, 61 p., https://doi.org/10.3133/ofr20151060.","productDescription":"vi, 61 p.","numberOfPages":"71","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063459","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":299217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151060.jpg"},{"id":299216,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1060/pdf/ofr2015-1060.pdf","size":"3.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":299215,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1060/"}],"country":"United States","state":"Arizona","otherGeospatial":"Sonoran Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.54345703125,\n 35.27253175660236\n ],\n [\n -113.719482421875,\n 35.34425514918409\n ],\n [\n -110.050048828125,\n 34.298068350990846\n ],\n [\n -110.050048828125,\n 32.648625783736726\n ],\n [\n -113.818359375,\n 33.770015152780125\n ],\n [\n -114.114990234375,\n 34.38877925439018\n ],\n [\n -114.400634765625,\n 34.615126683462194\n ],\n [\n -114.521484375,\n 35.003003395276714\n ],\n [\n -114.54345703125,\n 35.27253175660236\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bb717e4b0323842783a1e","contributors":{"authors":[{"text":"Shryock, Daniel F. dshryock@usgs.gov","contributorId":5139,"corporation":false,"usgs":true,"family":"Shryock","given":"Daniel","email":"dshryock@usgs.gov","middleInitial":"F.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":543784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":139988,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":543783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Felicia C. fchen@usgs.gov","contributorId":139989,"corporation":false,"usgs":true,"family":"Chen","given":"Felicia","email":"fchen@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":543785,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70169232,"text":"70169232 - 2015 - A pan-Arctic synthesis of CH4 and CO2 production from anoxic soil incubations","interactions":[],"lastModifiedDate":"2016-03-24T13:36:03","indexId":"70169232","displayToPublicDate":"2015-03-31T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"A pan-Arctic synthesis of CH4 and CO2 production from anoxic soil incubations","docAbstract":"Permafrost thaw can alter the soil environment through changes in soil moisture, frequently resulting in soil saturation, a shift to anaerobic decomposition, and changes in the plant community. These changes, along with thawing of previously frozen organic material, can alter the form and magnitude of greenhouse gas production from permafrost ecosystems. We synthesized existing methane (CH4) and carbon dioxide (CO2) production measurements from anaerobic incubations of boreal and tundra soils from the geographic permafrost region to evaluate large-scale controls of anaerobic CO2 and CH4 production and compare the relative importance of landscape-level factors (e.g., vegetation type and landscape position), soil properties (e.g., pH, depth, and soil type), and soil environmental conditions (e.g., temperature and relative water table position). We found fivefold higher maximum CH4 production per gram soil carbon from organic soils than mineral soils. Maximum CH4 production from soils in the active layer (ground that thaws and refreezes annually) was nearly four times that of permafrost per gram soil carbon, and CH4 production per gram soil carbon was two times greater from sites without permafrost than sites with permafrost. Maximum CH4 and median anaerobic CO2 production decreased with depth, while CO2:CH4 production increased with depth. Maximum CH4 production was highest in soils with herbaceous vegetation and soils that were either consistently or periodically inundated. This synthesis identifies the need to consider biome, landscape position, and vascular/moss vegetation types when modeling CH4 production in permafrost ecosystems and suggests the need for longer-term anaerobic incubations to fully capture CH4 dynamics. Our results demonstrate that as climate warms in arctic and boreal regions, rates of anaerobic CO2 and CH4 production will increase, not only as a result of increased temperature, but also from shifts in vegetation and increased ground saturation that will accompany permafrost thaw.
","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford","doi":"10.1111/gcb.12875","usgsCitation":"Treat, C.C., Natali, S.M., Ernakovich, J., Iverson, C.M., Lupasco, M., McGuire, A.D., Norby, R.J., Roy Chowdhury, T., Richter, A., Santruckova, H., Schädel, C., Schuur, E.A., Sloan, V.L., Turetsky, M.R., and Waldrop, M.P., 2015, A pan-Arctic synthesis of CH4 and CO2 production from anoxic soil incubations: Global Change Biology, v. 21, no. 7, p. 2787-2803, https://doi.org/10.1111/gcb.12875.","productDescription":"17 p.","startPage":"2787","endPage":"2803","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057724","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487088,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1401374","text":"External Repository"},{"id":319369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Pan-Arctic circle","volume":"21","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-31","publicationStatus":"PW","scienceBaseUri":"56f50face4b0f59b85e1ea62","chorus":{"doi":"10.1111/gcb.12875","url":"http://dx.doi.org/10.1111/gcb.12875","publisher":"Wiley-Blackwell","authors":"Treat Claire C., Natali Susan M., Ernakovich Jessica, Iversen Colleen M., Lupascu Massimo, McGuire Anthony David, Norby Richard J., Roy Chowdhury Taniya, Richter Andreas, Šantrůčková Hana, Schädel Christina, Schuur Edward A. 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David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":623370,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Norby, Richard J. 0000-0002-0238-9828","orcid":"https://orcid.org/0000-0002-0238-9828","contributorId":167836,"corporation":false,"usgs":false,"family":"Norby","given":"Richard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":623721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roy Chowdhury, Taniya","contributorId":167837,"corporation":false,"usgs":false,"family":"Roy Chowdhury","given":"Taniya","email":"","affiliations":[],"preferred":false,"id":623722,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richter, Andreas","contributorId":139172,"corporation":false,"usgs":false,"family":"Richter","given":"Andreas","email":"","affiliations":[{"id":12677,"text":"University of Vienna","active":true,"usgs":false}],"preferred":false,"id":623723,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Santruckova, Hana","contributorId":167838,"corporation":false,"usgs":false,"family":"Santruckova","given":"Hana","email":"","affiliations":[],"preferred":false,"id":623724,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schädel, C.","contributorId":167790,"corporation":false,"usgs":false,"family":"Schädel","given":"C.","affiliations":[],"preferred":false,"id":623725,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schuur, Edward A.G.","contributorId":50026,"corporation":false,"usgs":true,"family":"Schuur","given":"Edward","email":"","middleInitial":"A.G.","affiliations":[],"preferred":false,"id":623726,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sloan, Victoria L.","contributorId":167839,"corporation":false,"usgs":false,"family":"Sloan","given":"Victoria","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":623727,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Turetsky, Merritt R.","contributorId":80980,"corporation":false,"usgs":true,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":623728,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":623729,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70144678,"text":"70144678 - 2015 - Simulating the effect of climate change on stream temperature in the Trout Lake Watershed, Wisconsin","interactions":[],"lastModifiedDate":"2015-03-31T10:00:55","indexId":"70144678","displayToPublicDate":"2015-03-31T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Simulating the effect of climate change on stream temperature in the Trout Lake Watershed, Wisconsin","docAbstract":"The potential for increases in stream temperature across many spatial and temporal scales as a result of climate change can pose a difficult challenge for environmental managers, especially when addressing thermal requirements for sensitive aquatic species. This study evaluates simulated changes to the thermal regime of three northern Wisconsin streams in response to a projected changing climate using a modeling framework and considers implications of thermal stresses to the fish community. The Stream Network Temperature Model (SNTEMP) was used in combination with a coupled groundwater and surface water flow model to assess forecasts in climate from six global circulation models and three emission scenarios. Model results suggest that annual average stream temperature will steadily increase approximately 1.1 to 3.2 °C (varying by stream) by the year 2100 with differences in magnitude between emission scenarios. Daily mean stream temperature during the months of July and August, a period when cold-water fish communities are most sensitive, showed excursions from optimal temperatures with increased frequency compared to current conditions. Projections of daily mean stream temperature, in some cases, were no longer in the range necessary to sustain a cold water fishery.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.03.072","usgsCitation":"Selbig, W.R., 2015, Simulating the effect of climate change on stream temperature in the Trout Lake Watershed, Wisconsin: Science of the Total Environment, v. 511-522, p. 11-18, https://doi.org/10.1016/j.scitotenv.2015.03.072.","productDescription":"8 p.","startPage":"11","endPage":"18","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062837","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":299187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Trout Lake watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.73770141601562,\n 45.96833360206372\n ],\n [\n -89.73770141601562,\n 46.127508077954246\n ],\n [\n -89.5111083984375,\n 46.127508077954246\n ],\n [\n -89.5111083984375,\n 45.96833360206372\n ],\n [\n -89.73770141601562,\n 45.96833360206372\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"511-522","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bb71ce4b0323842783a2e","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":543759,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70142859,"text":"ofr20151033 - 2015 - Coastal Change Processes Project data report for oceanographic observations near Fire Island, New York, February through May 2014","interactions":[],"lastModifiedDate":"2015-03-31T08:10:25","indexId":"ofr20151033","displayToPublicDate":"2015-03-31T08:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1033","title":"Coastal Change Processes Project data report for oceanographic observations near Fire Island, New York, February through May 2014","docAbstract":"An oceanographic field study during February through May 2014 investigated processes that control the sediment-transport dynamics along the western part of Fire Island, New York. This report describes the project background, field program, instrumentation configuration, and locations of the sensors deployed. The data collected, including meteorological observations, are presented as time-series plots for data visualization. Additionally, individual links to the database containing digital data files are available as part of this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151033","usgsCitation":"Armstrong, B.N., Warner, J., List, J., Martini, M.A., Montgomery, E., Traykovski, P.A., and Voulgaris, G., 2015, Coastal Change Processes Project data report for oceanographic observations near Fire Island, New York, February through May 2014: U.S. Geological Survey Open-File Report 2015-1033, HTML Document, https://doi.org/10.3133/ofr20151033.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2014-02-01","temporalEnd":"2014-05-31","ipdsId":"IP-058379","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":299185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151033.JPG"},{"id":299184,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1033/ofr2015-1033-title_page.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Report"},{"id":299183,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1033/"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.25580596923828,\n 40.57367441074245\n ],\n [\n -73.25614929199219,\n 40.63141174632644\n ],\n [\n -73.06629180908203,\n 40.66918118282895\n ],\n [\n -73.06629180908203,\n 40.57367441074245\n ],\n [\n -73.25580596923828,\n 40.57367441074245\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bb71ae4b0323842783a24","contributors":{"authors":[{"text":"Armstrong, Brandy N. barmstrong@usgs.gov","contributorId":138581,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy","email":"barmstrong@usgs.gov","middleInitial":"N.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":542185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"List, Jeffrey H. jlist@usgs.gov","contributorId":138582,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey H.","email":"jlist@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":542187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":542188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Montgomery, Ellyn T. emontgomery@usgs.gov","contributorId":138583,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","email":"emontgomery@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":542189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Traykovski, Peter A. 0000-0002-8163-6857","orcid":"https://orcid.org/0000-0002-8163-6857","contributorId":69487,"corporation":false,"usgs":false,"family":"Traykovski","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":542191,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":542190,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168446,"text":"70168446 - 2015 - Cryovolcanism in the outer solar system","interactions":[],"lastModifiedDate":"2016-09-07T14:05:28","indexId":"70168446","displayToPublicDate":"2015-03-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Cryovolcanism in the outer solar system","docAbstract":"Cryovolcanism is defined as the extrusion of liquids and vapors of materials that would be frozen solid at the planetary surface temperatures of the icy bodies of the outer solar system. Active cryovolcanism is now known to occur on Saturn's moon Enceladus and on Neptune's moon Triton and is suspected on Jupiter's moon Europa, while evidence for past cryovolcanic activity is widespread throughout the outer solar system. This chapter examines the mechanisms and manifestations of cryovolcanism, beginning with a review of the materials that make up these unusual ‘‘magmas’’ and the means by which they might erupt and concluding with a volcanologist's tour of the farthest reaches of the solar system.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The encyclopedia of volcanoes","language":"English","publisher":"Elsevier","usgsCitation":"Geissler, P.E., 2015, Cryovolcanism in the outer solar system, chap. of The encyclopedia of volcanoes, p. 763-778.","productDescription":"16 p. ","startPage":"763","endPage":"778","ipdsId":"IP-056636","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":328325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d13a39e4b0571647cf8db8","contributors":{"authors":[{"text":"Geissler, Paul E. pgeissler@usgs.gov","contributorId":2811,"corporation":false,"usgs":true,"family":"Geissler","given":"Paul","email":"pgeissler@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":620203,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70157089,"text":"70157089 - 2015 - Soil nutrient budgets following projected corn stover harvest for biofuel production in the conterminous United States","interactions":[],"lastModifiedDate":"2017-01-18T10:04:08","indexId":"70157089","displayToPublicDate":"2015-03-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1718,"text":"GCB Bioenergy","active":true,"publicationSubtype":{"id":10}},"title":"Soil nutrient budgets following projected corn stover harvest for biofuel production in the conterminous United States","docAbstract":"Increasing demand for food and biofuel feedstocks may substantially affect soil nutrient budgets, especially in the United States where there is great potential for corn (Zea mays L) stover as a biofuel feedstock. This study was designed to evaluate impacts of projected stover harvest scenarios on budgets of soil nitrogen (N), phosphorus (P), and potassium (K) currently and in the future across the conterminous United States. The required and removed N, P, and K amounts under each scenario were estimated on the basis of both their average contents in grain and stover and from an empirical model. Our analyses indicate a small depletion of soil N (−4 ± 35 kg ha−1) and K (−6 ± 36 kg ha−1) and a moderate surplus of P (37 ± 21 kg ha−1) currently on the national average, but with a noticeable variation from state to state. After harvesting both grain and projected stover, the deficits of soil N, P, and K were estimated at 114–127, 26–27, and 36–53 kg ha−1 yr−1, respectively, in 2006–2010; 131–173, 29–32, and 41–96 kg ha−1 yr−1, respectively, in 2020; and 161–207, 35–39, and 51–111 kg ha−1 yr−1, respectively, in 2050. This study indicates that the harvestable stover amount derived from the minimum stover requirement for maintaining soil organic carbon level scenarios under current fertilization rates can be sustainable for soil nutrient supply and corn production at present, but the deficit of P and K at the national scale would become larger in the future.
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These airborne geophysical surveys provide high-resolution and spatially comprehensive datasets characterizing the resistivity structure of the shallow subsurface of each survey region, accompanied by magnetic-field information over matching areas. These data were collected to provide insight into the distribution of groundwater brine in the Paradox Valley, the extent of clay aquitards in the San Luis Valley, and to improve our understanding of the geologic framework for both regions. This report describes these contracted surveys and releases digital data supplied under contract to the USGS.
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