{"pageNumber":"924","pageRowStart":"23075","pageSize":"25","recordCount":184617,"records":[{"id":70194341,"text":"70194341 - 2017 - Regionalizing indicators for marine ecosystems: Bering Sea–Aleutian Island seabirds, climate, and competitors","interactions":[],"lastModifiedDate":"2017-11-28T11:11:23","indexId":"70194341","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Regionalizing indicators for marine ecosystems: Bering Sea–Aleutian Island seabirds, climate, and competitors","docAbstract":"Seabirds are thought to be reliable, real-time indicators of forage fish availability and the climatic and\r\nbiotic factors affecting pelagic food webs in marine ecosystems. In this study, we tested the hypothesis\r\nthat temporal trends and interannual variability in seabird indicators reflect simultaneously occurring\r\nbottom-up (climatic) and competitor (pink salmon) forcing of food webs. To test this hypothesis, we\r\nderived multivariate seabird indicators for the Bering Sea–Aleutian Island (BSAI) ecosystem and related\r\nthem to physical and biological conditions known to affect pelagic food webs in the ecosystem. We\r\nexamined covariance in the breeding biology of congeneric pelagic gulls (kittiwakes Rissa tridactyla and\r\nR. brevirostris) andauks (murres Uria aalge and U. lomvia), all of whichare abundant and well-studiedinthe\r\nBSAI. At the large ecosystem scale, kittiwake and murre breeding success and phenology (hatch dates)\r\ncovaried among congeners, so data could be combined using multivariate techniques, but patterns of\r\nresponsedifferedsubstantially betweenthe genera.Whiledata fromall sites (n = 5)inthe ecosystemcould\r\nbe combined, the south eastern Bering Sea shelf colonies (St. George, St. Paul, and Cape Peirce) provided\r\nthe strongest loadings on indicators, and hence had the strongest influence on modes of variability. The\r\nkittiwake breeding success mode of variability, dominated by biennial variation, was significantly related\r\nto both climatic factors and potential competitor interactions. The murre indicator mode was interannual\r\nand only weakly related to the climatic factors measured. The kittiwake phenology indicator mode of\r\nvariability showed multi-year periods (“stanzas”) of late or early breeding, while the murre phenology\r\nindicator showed a trend towards earlier timing. Ocean climate relationships with the kittiwake breeding\r\nsuccess indicator suggestthat early-season (winter–spring) environmental conditions and the abundance\r\nof pink salmon affect the pelagic food webs that support these seabirds in the BSAI ecosystem.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2017.03.013","usgsCitation":"Sydeman, W., Thompson, S.A., Piatt, J.F., García-Reyes, M., Zador, S., Williams, J.C., Romano, M., and Renner, H., 2017, Regionalizing indicators for marine ecosystems: Bering Sea–Aleutian Island seabirds, climate, and competitors: Ecological Indicators, v. 78, p. 458-469, https://doi.org/10.1016/j.ecolind.2017.03.013.","productDescription":"12 p.","startPage":"458","endPage":"469","ipdsId":"IP-063143","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":349429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Islands, Bering Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -188.7890625,\n 50.3454604086048\n ],\n [\n -156.88476562499997,\n 50.3454604086048\n ],\n [\n -156.88476562499997,\n 60.54377524118842\n ],\n [\n -188.7890625,\n 60.54377524118842\n ],\n [\n -188.7890625,\n 50.3454604086048\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb00e4b06e28e9c22ade","contributors":{"authors":[{"text":"Sydeman, William J.","contributorId":172574,"corporation":false,"usgs":false,"family":"Sydeman","given":"William J.","affiliations":[],"preferred":false,"id":723371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Sarah Ann","contributorId":198394,"corporation":false,"usgs":false,"family":"Thompson","given":"Sarah","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":723372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"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":723370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"García-Reyes, Marisol","contributorId":200914,"corporation":false,"usgs":false,"family":"García-Reyes","given":"Marisol","affiliations":[],"preferred":false,"id":723373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zador, Stephani","contributorId":60992,"corporation":false,"usgs":false,"family":"Zador","given":"Stephani","affiliations":[],"preferred":false,"id":723374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Jeffrey C.","contributorId":126882,"corporation":false,"usgs":false,"family":"Williams","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":723375,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Romano, Marc","contributorId":200806,"corporation":false,"usgs":false,"family":"Romano","given":"Marc","affiliations":[],"preferred":false,"id":723376,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Renner, Heather","contributorId":200807,"corporation":false,"usgs":false,"family":"Renner","given":"Heather","affiliations":[],"preferred":false,"id":723377,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194352,"text":"70194352 - 2017 - Spatially explicit dynamic N-mixture models","interactions":[],"lastModifiedDate":"2017-11-28T10:51:21","indexId":"70194352","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit dynamic N-mixture models","docAbstract":"Knowledge of demographic parameters such as survival, reproduction, emigration, and immigration is essential to understand metapopulation dynamics. Traditionally the estimation of these demographic parameters requires intensive data from marked animals. The development of dynamic N-mixture models makes it possible to estimate demographic parameters from count data of unmarked animals, but the original dynamic N-mixture model does not distinguish emigration and immigration from survival and reproduction, limiting its ability to explain important metapopulation processes such as movement among local populations. In this study we developed a spatially explicit dynamic N-mixture model that estimates survival, reproduction, emigration, local population size, and detection probability from count data under the assumption that movement only occurs among adjacent habitat patches. Simulation studies showed that the inference of our model depends on detection probability, local population size, and the implementation of robust sampling design. Our model provides reliable estimates of survival, reproduction, and emigration when detection probability is high, regardless of local population size or the type of sampling design. When detection probability is low, however, our model only provides reliable estimates of survival, reproduction, and emigration when local population size is moderate to high and robust sampling design is used. A sensitivity analysis showed that our model is robust against the violation of the assumption that movement only occurs among adjacent habitat patches, suggesting wide applications of this model. Our model can be used to improve our understanding of metapopulation dynamics based on count data that are relatively easy to collect in many systems.","language":"English","doi":"10.1007/s10144-017-0600-7","usgsCitation":"Zhao, Q., Royle, A., and Boomer, G., 2017, Spatially explicit dynamic N-mixture models: Population Ecology, v. 59, no. 4, p. 293-300, https://doi.org/10.1007/s10144-017-0600-7.","productDescription":"8 p.","startPage":"293","endPage":"300","ipdsId":"IP-090072","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":349425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","scienceBaseUri":"5a60faffe4b06e28e9c22ad4","contributors":{"authors":[{"text":"Zhao, Qing","contributorId":174370,"corporation":false,"usgs":false,"family":"Zhao","given":"Qing","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":723793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boomer, G. Scott","contributorId":84603,"corporation":false,"usgs":true,"family":"Boomer","given":"G. Scott","affiliations":[],"preferred":false,"id":723794,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194372,"text":"70194372 - 2017 - Factors influencing uptake of sylvatic plague vaccine baits by prairie dogs","interactions":[],"lastModifiedDate":"2023-06-21T15:23:53.765649","indexId":"70194372","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing uptake of sylvatic plague vaccine baits by prairie dogs","docAbstract":"Sylvatic plague vaccine (SPV) is a virally vectored bait-delivered vaccine expressing Yersinia pestis antigens that can protect prairie dogs (Cynomys spp.) from plague and has potential utility as a management tool. In a large-scale 3-year field trial, SPV-laden baits containing the biomarker rhodamine B (used to determine bait consumption) were distributed annually at a rate of approximately 100–125 baits/hectare along transects at 58 plots encompassing the geographic ranges of four species of prairie dogs. We assessed site- and individual-level factors related to bait uptake in prairie dogs to determine which were associated with bait uptake rates. Overall bait uptake for 7820 prairie dogs sampled was 70% (95% C.I. 69.9–72.0). Factors influencing bait uptake rates by prairie dogs varied by species, however, in general, heavier animals had greater bait uptake rates. Vegetation quality and day of baiting influenced this relationship for black-tailed, Gunnison’s, and Utah prairie dogs. For these species, baiting later in the season, when normalized difference vegetation indices (a measure of green vegetation density) are lower, improves bait uptake by smaller animals. Consideration of these factors can aid in the development of species-specific SPV baiting strategies that maximize bait uptake and subsequent immunization of prairie dogs against plague.","language":"English","publisher":"Springer","doi":"10.1007/s10393-017-1294-1","usgsCitation":"Abbott, R.C., Russell, R.E., Richgels, K., Tripp, D.W., Matchett, M.R., Biggins, D.E., and Rocke, T.E., 2017, Factors influencing uptake of sylvatic plague vaccine baits by prairie dogs: EcoHealth, v. 15, no. 1, p. 12-22, https://doi.org/10.1007/s10393-017-1294-1.","productDescription":"11 p.; Data Release","startPage":"12","endPage":"22","ipdsId":"IP-089024","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":349421,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418296,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X92968"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-20","publicationStatus":"PW","scienceBaseUri":"5a60faffe4b06e28e9c22acf","contributors":{"authors":[{"text":"Abbott, Rachel C. 0000-0003-4820-9295 rabbott@usgs.gov","orcid":"https://orcid.org/0000-0003-4820-9295","contributorId":1183,"corporation":false,"usgs":true,"family":"Abbott","given":"Rachel","email":"rabbott@usgs.gov","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":723547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Robin E. 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":3998,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":723548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richgels, Katherine 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":167016,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":723549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tripp, Daniel W.","contributorId":17910,"corporation":false,"usgs":false,"family":"Tripp","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":13449,"text":"Colorado Division of Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":723552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matchett, Marc R.","contributorId":193409,"corporation":false,"usgs":false,"family":"Matchett","given":"Marc","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":723553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":723550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":723551,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194335,"text":"70194335 - 2017 - A swath across the great divide: Kelp forests across the Samalga Pass biogeographic break","interactions":[],"lastModifiedDate":"2017-11-29T09:56:13","indexId":"70194335","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"A swath across the great divide: Kelp forests across the Samalga Pass biogeographic break","docAbstract":"Biogeographic breaks are often described as locations where a large number of species reach their geographic range limits. Samalga Pass, in the eastern Aleutian Archipelago, is a known biogeographic break for the spatial distribution of several species of offshore-pelagic communities, including numerous species of cold-water corals, zooplankton, fish, marine mammals, and seabirds. However, it remains unclear whether Samalga Pass also serves as a biogeographic break for nearshore benthic communities. The occurrence of biogeographic breaks across multiple habitats has not often been described. In this study, we examined if the biogeographic break for offshore-pelagic communities applies to nearshore kelp forests. To examine whether Samalga Pass serves as a biogeographic break for kelp forest communities, this study compared abundance, biomass and percent bottom cover of species associated with kelp forests on either side of the pass. We observed marked differences in kelp forest community structure, with some species reaching their geographic range limits on the opposing sides of the pass. In particular, the habitat-forming kelp Nereocystis luetkeana, and the predatory sea stars Pycnopodia helianthoides and Orthasterias koehleri all occurred on the eastern side of Samalga Pass but were not observed west of the pass. In contrast, the sea star Leptasterias camtschatica dispar was observed only on the western side of the pass. We also observed differences in overall abundance and biomass of numerous associated fish, invertebrate and macroalgal species on opposing sides of the pass. We conclude that Samalga Pass is important biogeographic break for kelp forest communities in the Aleutian Archipelago and may demark the geographic range limits of several ecologically important species.","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2017.06.007","usgsCitation":"Konar, B.H., Edwards, M.S., Bland, A., Metzger, J., Ravelo, A., Traiger, S., and Weitzman, B., 2017, A swath across the great divide: Kelp forests across the Samalga Pass biogeographic break: Continental Shelf Research, v. 143, p. 78-88, https://doi.org/10.1016/j.csr.2017.06.007.","productDescription":"11 p.","startPage":"78","endPage":"88","ipdsId":"IP-082946","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2017.06.007","text":"Publisher Index Page"},{"id":349445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Aleutian Archipelago, Samalga Pass","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -177.5390625,\n 49.26780455063753\n ],\n [\n -159.521484375,\n 49.26780455063753\n ],\n [\n -159.521484375,\n 56.48676175249086\n ],\n [\n -177.5390625,\n 56.48676175249086\n ],\n [\n -177.5390625,\n 49.26780455063753\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"143","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb00e4b06e28e9c22ae1","contributors":{"authors":[{"text":"Konar, Brenda H. 0000-0002-8998-1612","orcid":"https://orcid.org/0000-0002-8998-1612","contributorId":200787,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":723339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Matthew S.","contributorId":200788,"corporation":false,"usgs":false,"family":"Edwards","given":"Matthew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":723340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bland, Aaron","contributorId":200789,"corporation":false,"usgs":false,"family":"Bland","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":723341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Metzger, Jacob","contributorId":200790,"corporation":false,"usgs":false,"family":"Metzger","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":723342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ravelo, Alexandra","contributorId":200791,"corporation":false,"usgs":false,"family":"Ravelo","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":723343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Traiger, Sarah","contributorId":200792,"corporation":false,"usgs":false,"family":"Traiger","given":"Sarah","affiliations":[],"preferred":false,"id":723344,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weitzman, Ben P. 0000-0001-7559-3654 bweitzman@usgs.gov","orcid":"https://orcid.org/0000-0001-7559-3654","contributorId":5123,"corporation":false,"usgs":true,"family":"Weitzman","given":"Ben P.","email":"bweitzman@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":723338,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194343,"text":"70194343 - 2017 - Exploration of diffuse and discrete sources of acid mine drainage to a headwater mountain stream in Colorado, USA","interactions":[],"lastModifiedDate":"2017-11-28T11:00:53","indexId":"70194343","displayToPublicDate":"2017-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2745,"text":"Mine Water and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Exploration of diffuse and discrete sources of acid mine drainage to a headwater mountain stream in Colorado, USA","docAbstract":"We investigated the impact of acid mine drainage (AMD) contamination from the Minnesota Mine, an inactive gold and silver mine, on Lion Creek, a headwater mountain stream near Empire, Colorado. The objective was to map the sources of AMD contamination, including discrete sources visible at the surface and diffuse inputs that were not readily apparent. This was achieved using geochemical sampling, in-stream and in-seep fluid electrical conductivity (EC) logging, and electrical resistivity imaging (ERI) of the subsurface. The low pH of the AMD-impacted water correlated to high fluid EC values that served as a target for the ERI. From ERI, we identified two likely sources of diffuse contamination entering the stream: (1) the subsurface extent of two seepage faces visible on the surface, and (2) rainfall runoff washing salts deposited on the streambank and in a tailings pile on the east bank of Lion Creek. Additionally, rainfall leaching through the tailings pile is a potential diffuse source of contamination if the subsurface beneath the tailings pile is hydraulically connected with the stream. In-stream fluid EC was lowest when stream discharge was highest in early summer and then increased throughout the summer as stream discharge decreased, indicating that the concentration of dissolved solids in the stream is largely controlled by mixing of groundwater and snowmelt. Total dissolved solids (TDS) load is greatest in early summer and displays a large diel signal. Identification of diffuse sources and variability in TDS load through time should allow for more targeted remediation options.","language":"English","publisher":"Springer Berlin Heidelberg","doi":"10.1007/s10230-017-0452-6","usgsCitation":"Johnston, A., Runkel, R.L., Navarre-Sitchler, A., and Singha, K., 2017, Exploration of diffuse and discrete sources of acid mine drainage to a headwater mountain stream in Colorado, USA: Mine Water and the Environment, v. 36, no. 4, p. 463-478, https://doi.org/10.1007/s10230-017-0452-6.","productDescription":"16 p.","startPage":"463","endPage":"478","ipdsId":"IP-077543","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":349427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Empire","otherGeospatial":"Lion Creek","volume":"36","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-29","publicationStatus":"PW","scienceBaseUri":"5a60fb00e4b06e28e9c22ada","contributors":{"authors":[{"text":"Johnston, Allison","contributorId":200808,"corporation":false,"usgs":false,"family":"Johnston","given":"Allison","email":"","affiliations":[],"preferred":false,"id":723380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":723379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Navarre-Sitchler, Alexis","contributorId":190441,"corporation":false,"usgs":false,"family":"Navarre-Sitchler","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":723381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singha, Kamini","contributorId":76733,"corporation":false,"usgs":true,"family":"Singha","given":"Kamini","affiliations":[],"preferred":false,"id":723382,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70190241,"text":"70190241 - 2017 - Geologic characterization of the hydrocarbon resource potential of the Upper Cretaceous Tuscaloosa marine shale in Mississippi and Louisiana, U.S.A.","interactions":[],"lastModifiedDate":"2018-07-23T16:57:10","indexId":"70190241","displayToPublicDate":"2017-11-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Geologic characterization of the hydrocarbon resource potential of the Upper Cretaceous Tuscaloosa marine shale in Mississippi and Louisiana, U.S.A.","docAbstract":"Recent oil production from the Upper Cretaceous Tuscaloosa marine shale (TMS) has elevated the formation, previously assessed by the USGS in 2011 as part of the Eagle Ford Group, to its own distinct assessment unit for an upcoming assessment. Geologic characterization in preparation for the 2017 assessment has included the analysis of rock samples and produced oils, and the interpretation of well logs and biostratigraphic data. Results include new mapped extents of the reservoir, which reaches a maximum thickness of almost 500 feet in southern Mississippi and central Louisiana, and geochemical interpretations which support a self-sourced origin for high gravity (36-48 API) low sulfur oil. Programmed pyrolysis and petrography indicate the TMS contains dominantly Type III gas-prone kerogen with some Type II oil-prone kerogen present in the most organic-rich samples. TMS samples contain an average of 47 weight percent total clays, had organic carbon content which ranged from 0.14 to 4.0 weight percent, and had a thermal maturity of 0.57 to 0.99 percent vitrinite reflectance in the productive area. These characteristics were the same for the TMS within an area defined as a “high resistivity zone” and outside of it. These results will be integral to the planned USGS assessment of the TMS.","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":" Gulf Coast Association of Geological Societies Transactions","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"67th annual GCAGS convention and 64th annual GCSSEPM meeting","conferenceDate":"November 1-3, 2017","conferenceLocation":"San Antonio, TX","language":"English","publisher":"Gulf Coast Association of Geological Societies","usgsCitation":"Enomoto, C.B., Hackley, P.C., Valentine, B.J., Rouse, W.A., Dulong, F.T., Lohr, C., and Hatcherian, J.J., 2017, Geologic characterization of the hydrocarbon resource potential of the Upper Cretaceous Tuscaloosa marine shale in Mississippi and Louisiana, U.S.A., in Gulf Coast Association of Geological Societies Transactions, v. 67, San Antonio, TX, November 1-3, 2017, p. 95-109.","productDescription":"15 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No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecology and management of terrestrial vertebrate invasive species in the United States","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","isbn":"9781498704823","usgsCitation":"Hess, S.C., Van Vuren, D.H., and Witmer, G.W., 2017, Feral goats and sheep, chap. of Ecology and management of terrestrial vertebrate invasive species in the United States, p. 287-307.","productDescription":"21 p.","startPage":"287","endPage":"307","ipdsId":"IP-074343","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":348942,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Ecology-and-Management-of-Terrestrial-Vertebrate-Invasive-Species-in-the/Pitt-Beasley-Witmer/p/book/9781498704823"},{"id":349309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb01e4b06e28e9c22aeb","contributors":{"editors":[{"text":"Pitt, William C.","contributorId":34355,"corporation":false,"usgs":false,"family":"Pitt","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":723397,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Beasley, James","contributorId":172814,"corporation":false,"usgs":false,"family":"Beasley","given":"James","affiliations":[{"id":27094,"text":"University of Georgia, Savannah River Ecology Laboratory, Warnell School of Forestry and Natural Resources, PO Drawer E, Aiken, SC 29802","active":true,"usgs":false}],"preferred":false,"id":723398,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Witmer, Gary W.","contributorId":200434,"corporation":false,"usgs":false,"family":"Witmer","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":723399,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":722317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Vuren, Dirk H.","contributorId":200433,"corporation":false,"usgs":false,"family":"Van Vuren","given":"Dirk","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":722318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witmer, Gary W.","contributorId":200434,"corporation":false,"usgs":false,"family":"Witmer","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":722319,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194008,"text":"70194008 - 2017 - Advancing mangrove macroecology","interactions":[],"lastModifiedDate":"2017-11-25T12:53:09","indexId":"70194008","displayToPublicDate":"2017-11-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Advancing mangrove macroecology","docAbstract":"Mangrove forests provide a wide range of ecosystem services to society, yet they are among the most anthropogenically impacted coastal ecosystems in the world. In this chapter, we discuss and provide examples for how macroecology can advance our understanding of mangrove ecosystems. Macroecology is broadly defined as a discipline that uses statistical analyses to investigate large-scale, universal patterns in the distribution, abundance, diversity, and organization of species and ecosystems, including the scaling of ecological processes and structural and functional relationships. Macroecological methods can be used to advance our understanding of how non-linear responses in natural systems can be triggered by human impacts at local, regional, and global scales. Although macroecology has the potential to gain knowledge on universal patterns and processes that govern mangrove ecosystems, the application of macroecological methods to mangroves has historically been limited by constraints in data quality and availability. Here we provide examples that include evaluations of the variation in mangrove forest ecosystem structure and function in relation to macroclimatic drivers (e.g., temperature and rainfall regimes) and climate change. Additional examples include work focused upon the continental distribution of aboveground net primary productivity and carbon storage, which are rapidly advancing research areas. These examples demonstrate the value of a macroecological perspective for the understanding of global- and regional-scale effects of both changing environmental conditions and management actions on ecosystem structure, function, and the supply of goods and services. We also present current trends in mangrove modeling approaches and their potential utility to test hypotheses about mangrove structural and functional properties. Given the gap in relevant experimental work at the regional scale, we also discuss the potential use of mangrove restoration and rehabilitation projects as macroecological studies that advance the critical selection and conservation of ecosystem services when managing mangrove resources. Future work to further incorporate macroecology into mangrove research will require a concerted effort by research groups and institutions to launch research initiatives and synthesize data collected across broad biogeographic regions.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mangrove ecosystems: A global biogeographic perspective","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-62206-4_11","isbn":"978-3-319-62204-0","usgsCitation":"Rivera-Monroy, V.H., Osland, M.J., Day, J.W., Ray, S., Rovai, A.S., Day, R.H., and Mukherjee, J., 2017, Advancing mangrove macroecology, chap. 11 of Mangrove ecosystems: A global biogeographic perspective, p. 347-381, https://doi.org/10.1007/978-3-319-62206-4_11.","productDescription":"35 p.","startPage":"347","endPage":"381","ipdsId":"IP-086590","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-04","publicationStatus":"PW","scienceBaseUri":"5a60fb01e4b06e28e9c22aed","contributors":{"editors":[{"text":"Rivera-Monroy, Victor H. 0000-0003-2804-4139","orcid":"https://orcid.org/0000-0003-2804-4139","contributorId":200322,"corporation":false,"usgs":false,"family":"Rivera-Monroy","given":"Victor","email":"","middleInitial":"H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":723400,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lee, Shing Yip","contributorId":39694,"corporation":false,"usgs":false,"family":"Lee","given":"Shing","email":"","middleInitial":"Yip","affiliations":[{"id":13193,"text":"School of Environment, Griffith University","active":true,"usgs":false}],"preferred":false,"id":723401,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Kristensen, Erik","contributorId":24034,"corporation":false,"usgs":false,"family":"Kristensen","given":"Erik","email":"","affiliations":[{"id":35818,"text":"University of Southern Denmark","active":true,"usgs":false}],"preferred":false,"id":723402,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":723403,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Rivera-Monroy, Victor H. 0000-0003-2804-4139","orcid":"https://orcid.org/0000-0003-2804-4139","contributorId":200322,"corporation":false,"usgs":false,"family":"Rivera-Monroy","given":"Victor","email":"","middleInitial":"H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":721915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":721914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, John W.","contributorId":200323,"corporation":false,"usgs":false,"family":"Day","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":721916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, Santanu","contributorId":200324,"corporation":false,"usgs":false,"family":"Ray","given":"Santanu","email":"","affiliations":[{"id":35743,"text":"Visva-Bharati University","active":true,"usgs":false}],"preferred":false,"id":721917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rovai, Andre S.","contributorId":167671,"corporation":false,"usgs":false,"family":"Rovai","given":"Andre","email":"","middleInitial":"S.","affiliations":[{"id":24801,"text":"Federal University of Santa Catarina, Dept. Ecology and Zoology, Brazil","active":true,"usgs":false}],"preferred":false,"id":721918,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":721919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mukherjee, Joyita","contributorId":200325,"corporation":false,"usgs":false,"family":"Mukherjee","given":"Joyita","email":"","affiliations":[{"id":35743,"text":"Visva-Bharati University","active":true,"usgs":false}],"preferred":false,"id":721920,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194193,"text":"70194193 - 2017 - Concepts: Integrating population survey data from different spatial scales, sampling methods, and species","interactions":[],"lastModifiedDate":"2017-11-25T12:35:54","indexId":"70194193","displayToPublicDate":"2017-11-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Concepts: Integrating population survey data from different spatial scales, sampling methods, and species","docAbstract":"Conservationists and managers are continually under pressure from the public, the media, and political policy makers to provide “tiger numbers,” not just for protected reserves, but also for large spatial scales, including landscapes, regions, states, nations, and even globally. Estimating the abundance of tigers within relatively small areas (e.g., protected reserves) is becoming increasingly tractable (see Chaps. 9 and 10), but doing so for larger spatial scales still presents a formidable challenge. Those who seek “tiger numbers” are often not satisfied by estimates of tiger occupancy alone, regardless of the reliability of the estimates (see Chaps. 4 and 5). As a result, wherever tiger conservation efforts are underway, either substantially or nominally, scientists and managers are frequently asked to provide putative large-scale tiger numbers based either on a total count or on an extrapolation of some sort (see Chaps. 1 and 2).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Methods for monitoring tiger and prey populations","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-981-10-5436-5_12","usgsCitation":"Dorazio, R., Delampady, M., Dey, S., and Gopalaswamy, A.M., 2017, Concepts: Integrating population survey data from different spatial scales, sampling methods, and species, chap. of Methods for monitoring tiger and prey populations, p. 247-254, https://doi.org/10.1007/978-981-10-5436-5_12.","productDescription":"8 p.","startPage":"247","endPage":"254","ipdsId":"IP-083543","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-28","publicationStatus":"PW","scienceBaseUri":"5a60fb00e4b06e28e9c22ae8","contributors":{"editors":[{"text":"Karanth, K. Ullas","contributorId":192144,"corporation":false,"usgs":false,"family":"Karanth","given":"K.","email":"","middleInitial":"Ullas","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":723395,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139087,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":723396,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":722588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Delampady, Mohan","contributorId":200532,"corporation":false,"usgs":false,"family":"Delampady","given":"Mohan","email":"","affiliations":[{"id":35775,"text":"Indian Statistical Institute, Bangalore, India","active":true,"usgs":false}],"preferred":false,"id":722589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dey, Soumen","contributorId":200534,"corporation":false,"usgs":false,"family":"Dey","given":"Soumen","email":"","affiliations":[{"id":35775,"text":"Indian Statistical Institute, Bangalore, India","active":true,"usgs":false}],"preferred":false,"id":722591,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gopalaswamy, Arjun M.","contributorId":199394,"corporation":false,"usgs":false,"family":"Gopalaswamy","given":"Arjun","email":"","middleInitial":"M.","affiliations":[{"id":20302,"text":"Univeristy of Oxford","active":true,"usgs":false},{"id":35775,"text":"Indian Statistical Institute, Bangalore, India","active":true,"usgs":false}],"preferred":false,"id":722592,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236753,"text":"70236753 - 2017 - Discriminating between natural vs induced seismicity from long-term deformation history of intraplate faults","interactions":[],"lastModifiedDate":"2022-09-19T15:19:31.845284","indexId":"70236753","displayToPublicDate":"2017-11-24T10:08:28","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Discriminating between natural vs induced seismicity from long-term deformation history of intraplate faults","docAbstract":"To assess whether recent seismicity is induced by human activity or is of natural origin, we analyze fault displacements on high-resolution seismic reflection profiles for two regions in the central United States (CUS): the Fort Worth Basin (FWB) of Texas, and the northern Mississippi embayment (NME). Since 2009 earthquake activity in the CUS has increased dramatically, and numerous publications suggest that this increase is primarily due to induced earthquakes caused by deep-well injection of wastewater, both flowback water from hydrofracturing operations and produced water accompanying hydrocarbon production. Alternatively, some argue that these earthquakes are natural, and that the seismicity increase is a normal variation that occurs over millions of years. Our analysis shows that within the NME, faults deform both Quaternary alluvium and underlying sediments dating from Paleozoic through Tertiary, with displacement increasing with geologic unit age, documenting a long history of natural activity. In the FWB, a region of ongoing wastewater injection, basement faults show deformation of the Proterozoic and Paleozoic units, but little or no deformation of younger strata. Specifically, vertical displacements in the post-Pennsylvanian formations, if any, are below the resolution (~15 m) of the seismic data, far less than expected had these faults accumulated deformation over millions of years. Our results support the assertion that recent FWB earthquakes are of induced origin; this conclusion is entirely independent of analyses correlating seismicity and wastewater injection practices. To our knowledge this is the first study to discriminate natural and induced seismicity using classical structural geology analysis techniques.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.1701593","usgsCitation":"Magnani, M.B., Blanpied, M.L., DeShon, H.R., and Hornbach, M., 2017, Discriminating between natural vs induced seismicity from long-term deformation history of intraplate faults: Science Advances, v. 3, no. 11, e1701593, 12 p., https://doi.org/10.1126/sciadv.1701593.","productDescription":"e1701593, 12 p.","ipdsId":"IP-090248","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"links":[{"id":469300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1701593","text":"Publisher Index Page"},{"id":406969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Mississippi, Missouri, Tennessee, Texas","city":"Dallas, Irving, Venus","otherGeospatial":"Fort Worth Basin, Mississippi Embayment, Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.75634765625,\n 30.259067203213018\n ],\n [\n -96.558837890625,\n 30.826780904779774\n ],\n [\n -95.8447265625,\n 31.728167146023935\n ],\n [\n -95.899658203125,\n 33.054716488042736\n ],\n [\n -96.30615234375,\n 33.8247936182649\n ],\n [\n -96.92138671875,\n 33.99802726234877\n ],\n [\n -97.14111328125,\n 33.90689555128866\n ],\n [\n -98.1298828125,\n 34.17090836352573\n ],\n [\n -99.195556640625,\n 34.243594729697406\n ],\n [\n -100.30517578125,\n 33.54139466898275\n ],\n [\n -100.12939453125,\n 32.79651010951669\n ],\n [\n -99.82177734375,\n 32.52828936482526\n ],\n [\n -100.04150390625,\n 32.01739159980399\n ],\n [\n -99.942626953125,\n 31.50362930577303\n ],\n [\n -98.756103515625,\n 31.23159167205059\n ],\n [\n -98.45947265625,\n 30.56226095049944\n ],\n [\n -97.75634765625,\n 30.259067203213018\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.395263671875,\n 33.02708758002874\n ],\n [\n -90.758056640625,\n 33.02708758002874\n ],\n [\n -90.703125,\n 33.779147331286474\n ],\n [\n -89.044189453125,\n 36.474306755095235\n ],\n [\n -88.912353515625,\n 36.94111143010769\n ],\n [\n -89.49462890625,\n 37.89219554724437\n ],\n [\n -89.923095703125,\n 37.80544394934271\n ],\n [\n -89.571533203125,\n 36.84446074079564\n ],\n [\n -91.483154296875,\n 34.08906131584994\n ],\n [\n -91.395263671875,\n 33.02708758002874\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Magnani, Maria Beatrice","contributorId":296647,"corporation":false,"usgs":false,"family":"Magnani","given":"Maria","email":"","middleInitial":"Beatrice","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":852093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blanpied, Michael L. 0000-0002-3294-4458 mblanpied@usgs.gov","orcid":"https://orcid.org/0000-0002-3294-4458","contributorId":203801,"corporation":false,"usgs":true,"family":"Blanpied","given":"Michael","email":"mblanpied@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":852094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeShon, Heather R.","contributorId":244313,"corporation":false,"usgs":false,"family":"DeShon","given":"Heather","email":"","middleInitial":"R.","affiliations":[{"id":20301,"text":"SMU","active":true,"usgs":false}],"preferred":false,"id":852095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hornbach, Matthew","contributorId":296649,"corporation":false,"usgs":false,"family":"Hornbach","given":"Matthew","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":852096,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188289,"text":"ofr20171052 - 2017 - Integrated wetland management for waterfowl and shorebirds at Mattamuskeet National Wildlife Refuge, North Carolina","interactions":[],"lastModifiedDate":"2024-03-04T18:57:59.926401","indexId":"ofr20171052","displayToPublicDate":"2017-11-22T07:15:00","publicationYear":"2017","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":"2017-1052","title":"Integrated wetland management for waterfowl and shorebirds at Mattamuskeet National Wildlife Refuge, North Carolina","docAbstract":"

Mattamuskeet National Wildlife Refuge (MNWR) offers a mix of open water, marsh, forest, and cropland habitats on 20,307 hectares in coastal North Carolina. In 1934, Federal legislation (Executive Order 6924) established MNWR to benefit wintering waterfowl and other migratory bird species. On an annual basis, the refuge staff decide how to manage 14 impoundments to benefit not only waterfowl during the nonbreeding season, but also shorebirds during fall and spring migration. In making these decisions, the challenge is to select a portfolio, or collection, of management actions for the impoundments that optimizes use by the three groups of birds while respecting budget constraints. In this study, a decision support tool was developed for these annual management decisions.

Within the decision framework, there are three different management objectives: shorebird-use days during fall and spring migrations, and waterfowl-use days during the nonbreeding season. Sixteen potential management actions were identified for impoundments; each action represents a combination of hydroperiod and vegetation manipulation. Example hydroperiods include semi-permanent and seasonal drawdowns, and vegetation manipulations include mechanical-chemical treatment, burning, disking, and no action. Expert elicitation was used to build a Bayesian Belief Network (BBN) model that predicts shorebird- and waterfowl-use days for each potential management action. The BBN was parameterized for a representative impoundment, MI-9, and predictions were re-scaled for this impoundment to predict outcomes at other impoundments on the basis of size. Parameter estimates in the BBN model can be updated using observations from ongoing monitoring that is part of the Integrated Waterbird Management and Monitoring (IWMM) program.

The optimal portfolio of management actions depends on the importance, that is, weights, assigned to the three objectives, as well as the budget. Five scenarios with a variety of objective weights and budgets were developed. Given the large number of possible portfolios (1614), a heuristic genetic algorithm was used to identify a management action portfolio that maximized use-day objectives while respecting budget constraints. The genetic algorithm identified a portfolio of management actions for each of the five scenarios, enabling refuge staff to explore the sensitivity of their management decisions to objective weights and budget constraints.

The decision framework developed here provides a transparent, defensible, and testable foundation for decision making at MNWR. The BBN model explicitly structures and parameterizes a mental model previously used by an expert to assign management actions to the impoundments. With ongoing IWMM monitoring, predictions from the model can be tested, and model parameters updated, to reflect empirical observations. This framework is intended to be a living document that can be updated to reflect changes in the decision context (for example, new objectives or constraints, or new models to compete with the current BBN model). Rather than a mandate to refuge staff, this framework is intended to be a decision support tool; tool outputs can become part of the deliberations of refuge staff when making difficult management decisions for multiple objectives.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171052","usgsCitation":"Tavernia, B.G., Stanton, J.D., and Lyons, J.E., 2017, Integrated wetland management for waterfowl and shorebirds at Mattamuskeet National Wildlife Refuge, North Carolina: U.S. Geological Survey Open-File Report 2017–1052, 43 p., https://doi.org/10.3133/ofr20171052.","productDescription":"vii, 43 p.","numberOfPages":"55","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074603","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":348384,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1052/coverthb.jpg"},{"id":348385,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1052/ofr20171052.pdf","text":"Report","size":"9.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1052"}],"country":"United States","state":"North Carolina","otherGeospatial":"Mattamuskeet National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.36459350585938,\n 35.42262976362149\n ],\n [\n -76.03363037109374,\n 35.42262976362149\n ],\n [\n -76.03363037109374,\n 35.59031875398378\n ],\n [\n -76.36459350585938,\n 35.59031875398378\n ],\n [\n -76.36459350585938,\n 35.42262976362149\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road, Ste 4039
Laurel, MD 20708

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2017-11-22","noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5a60fb01e4b06e28e9c22af0","contributors":{"authors":[{"text":"Tavernia, Brian G. btavernia@usgs.gov","contributorId":5876,"corporation":false,"usgs":true,"family":"Tavernia","given":"Brian G.","email":"btavernia@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":720952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, John D.","contributorId":145798,"corporation":false,"usgs":false,"family":"Stanton","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":720953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":697140,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194319,"text":"70194319 - 2017 - Wildlife governance in the 21st century—Will sustainable use endure?","interactions":[],"lastModifiedDate":"2018-01-05T13:59:54","indexId":"70194319","displayToPublicDate":"2017-11-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife governance in the 21st century—Will sustainable use endure?","docAbstract":"

In light of the trajectory of wildlife governance in the United States, the future of sustainable use of wildlife is a topic of substantial interest in the wildlife conservation community. We examine sustainable-use principles with respect to “good governance” considerations and public trust administration principles to assess how sustainable use might fare in the 21st century. We conclude that sustainable-use principles are compatible with recently articulated wildlife governance principles and could serve to mitigate broad values and norm shifts in American society that affect social acceptability of particular uses. Wildlife governance principles emphasize inclusive discourse among diverse wildlife interests, which could minimize isolated exchanges among cliques of like-minded people pursuing their ambitions without seeking opportunity for sharing or understanding diverse views. Aligning governance practices with wildlife governance principles can help avoid such isolation. In summary, sustainable use of wildlife is likely to endure as long as society 1) believes the long-term sustainability of wildlife is not jeopardized, and 2) accepts practices associated with such use as legitimate. These are 2 criteria needing constant attention.

","language":"English","publisher":"Wiley","doi":"10.1002/wsb.830","usgsCitation":"Decker, D.J., Organ, J.F., Forstchen, A., Jacobson, C.A., Siemer, W.F., Smith, C.A., Lederle, P.E., and Schiavone, M.V., 2017, Wildlife governance in the 21st century—Will sustainable use endure?: Wildlife Society Bulletin, v. 41, no. 4, p. 821-826, https://doi.org/10.1002/wsb.830.","productDescription":"6 p.","startPage":"821","endPage":"826","ipdsId":"IP-082502","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":500043,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/1420e061002e4e428616d6877820f1fd","text":"External Repository"},{"id":349266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-15","publicationStatus":"PW","scienceBaseUri":"5a60fb01e4b06e28e9c22af7","contributors":{"authors":[{"text":"Decker, Daniel J.","contributorId":114044,"corporation":false,"usgs":true,"family":"Decker","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":723268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forstchen, Ann","contributorId":166904,"corporation":false,"usgs":false,"family":"Forstchen","given":"Ann","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":723284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobson, Cynthia A.","contributorId":200767,"corporation":false,"usgs":false,"family":"Jacobson","given":"Cynthia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siemer, William F.","contributorId":192551,"corporation":false,"usgs":false,"family":"Siemer","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":723286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Christian A.","contributorId":200768,"corporation":false,"usgs":false,"family":"Smith","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723287,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lederle, Patrick E.","contributorId":200769,"corporation":false,"usgs":false,"family":"Lederle","given":"Patrick","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":723288,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schiavone, Michael V.","contributorId":30064,"corporation":false,"usgs":false,"family":"Schiavone","given":"Michael","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":723289,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194322,"text":"70194322 - 2017 - Organic carbon burial in global lakes and reservoirs","interactions":[],"lastModifiedDate":"2017-11-22T11:21:45","indexId":"70194322","displayToPublicDate":"2017-11-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Organic carbon burial in global lakes and reservoirs","docAbstract":"

Burial in sediments removes organic carbon (OC) from the short-term biosphere-atmosphere carbon (C) cycle, and therefore prevents greenhouse gas production in natural systems. Although OC burial in lakes and reservoirs is faster than in the ocean, the magnitude of inland water OC burial is not well constrained. Here we generate the first global-scale and regionally resolved estimate of modern OC burial in lakes and reservoirs, deriving from a comprehensive compilation of literature data. We coupled statistical models to inland water area inventories to estimate a yearly OC burial of 0.15 (range, 0.06–0.25) Pg C, of which ~40% is stored in reservoirs. Relatively higher OC burial rates are predicted for warm and dry regions. While we report lower burial than previously estimated, lake and reservoir OC burial corresponded to ~20% of their C emissions, making them an important C sink that is likely to increase with eutrophication and river damming.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-017-01789-6","usgsCitation":"Mendonca, R., Muller, R.A., Clow, D.W., Verpoorter, C., Raymond, P., Tranvik, L., and Sobek, S., 2017, Organic carbon burial in global lakes and reservoirs: Nature Communications, v. 8, Article 1694; 7 p., https://doi.org/10.1038/s41467-017-01789-6.","productDescription":"Article 1694; 7 p.","ipdsId":"IP-088515","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":469301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-017-01789-6","text":"Publisher Index Page"},{"id":349264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5a60fb01e4b06e28e9c22af4","contributors":{"authors":[{"text":"Mendonca, Raquel","contributorId":200761,"corporation":false,"usgs":false,"family":"Mendonca","given":"Raquel","email":"","affiliations":[],"preferred":false,"id":723275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muller, Roger A.","contributorId":200762,"corporation":false,"usgs":false,"family":"Muller","given":"Roger","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":723274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verpoorter, Charles","contributorId":200763,"corporation":false,"usgs":false,"family":"Verpoorter","given":"Charles","email":"","affiliations":[],"preferred":false,"id":723277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raymond, Peter","contributorId":200764,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","affiliations":[],"preferred":false,"id":723278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tranvik, Lars","contributorId":200765,"corporation":false,"usgs":false,"family":"Tranvik","given":"Lars","email":"","affiliations":[],"preferred":false,"id":723279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sobek, Sebastian","contributorId":169974,"corporation":false,"usgs":false,"family":"Sobek","given":"Sebastian","email":"","affiliations":[],"preferred":false,"id":723280,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194265,"text":"70194265 - 2017 - Imaging shear strength along subduction faults","interactions":[],"lastModifiedDate":"2018-01-05T13:57:56","indexId":"70194265","displayToPublicDate":"2017-11-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Imaging shear strength along subduction faults","docAbstract":"

Subduction faults accumulate stress during long periods of time and release this stress suddenly, during earthquakes, when it reaches a threshold. This threshold, the shear strength, controls the occurrence and magnitude of earthquakes. We consider a 3-D model to derive an analytical expression for how the shear strength depends on the fault geometry, the convergence obliquity, frictional properties, and the stress field orientation. We then use estimates of these different parameters in Japan to infer the distribution of shear strength along a subduction fault. We show that the 2011 Mw9.0 Tohoku earthquake ruptured a fault portion characterized by unusually small variations in static shear strength. This observation is consistent with the hypothesis that large earthquakes preferentially rupture regions with relatively homogeneous shear strength. With increasing constraints on the different parameters at play, our approach could, in the future, help identify favorable locations for large earthquakes.

","language":"English","publisher":"AGU","doi":"10.1002/2017GL075501","usgsCitation":"Bletery, Q., Thomas, A.M., Rempel, A.W., and Hardebeck, J.L., 2017, Imaging shear strength along subduction faults: Geophysical Research Letters, v. 44, no. 22, p. 11329-11339, https://doi.org/10.1002/2017GL075501.","productDescription":"11 p.","startPage":"11329","endPage":"11339","ipdsId":"IP-088563","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl075501","text":"Publisher Index Page"},{"id":349290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"22","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-18","publicationStatus":"PW","scienceBaseUri":"5a60fb01e4b06e28e9c22afb","contributors":{"authors":[{"text":"Bletery, Quentin","contributorId":200640,"corporation":false,"usgs":false,"family":"Bletery","given":"Quentin","email":"","affiliations":[],"preferred":false,"id":722955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Amanda M.","contributorId":200641,"corporation":false,"usgs":false,"family":"Thomas","given":"Amanda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":722956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rempel, Alan W.","contributorId":200642,"corporation":false,"usgs":false,"family":"Rempel","given":"Alan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":722957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":722954,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192099,"text":"sir20175126 - 2017 - Macroinvertebrate communities evaluated prior to and following a channel restoration project in Silver Creek, Blaine County, Idaho, 2001-16","interactions":[],"lastModifiedDate":"2017-11-28T12:27:48","indexId":"sir20175126","displayToPublicDate":"2017-11-22T00:00:00","publicationYear":"2017","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":"2017-5126","title":"Macroinvertebrate communities evaluated prior to and following a channel restoration project in Silver Creek, Blaine County, Idaho, 2001-16","docAbstract":"

The U.S. Geological Survey, in cooperation with Blaine County and The Nature Conservancy, evaluated the status of macroinvertebrate communities prior to and following a channel restoration project in Silver Creek, Blaine County, Idaho. The objective of the evaluation was to determine whether 2014 remediation efforts to restore natural channel conditions in an impounded area of Silver Creek caused declines in local macroinvertebrate communities. Starting in 2001 and ending in 2016, macroinvertebrates were sampled every 3 years at two long-term trend sites and sampled seasonally (spring, summer, and autumn) in 2013, 2015, and 2016 at seven synoptic sites. Trend-site communities were collected from natural stream-bottom substrates to represent locally established macroinvertebrate assemblages. Synoptic site communities were sampled using artificial (multi-plate) substrates to represent recently colonized (4–6 weeks) assemblages. Statistical summaries of spatial and temporal patterns in macroinvertebrate taxonomic composition at both trend and synoptic sites were completed.

The potential effect of the restoration project on resident macroinvertebrate populations was determined by comparing the following community assemblage metrics:

  1. Total taxonomic richness (taxa richness);
  2. Total macroinvertebrate abundance (total abundance);
  3. Ephemeroptera, Plecoptera, Trichoptera (EPT) richness;
  4. EPT abundance;
  5. Simpson’s diversity; and
  6. Simpson’s evenness for periods prior to and following restoration.

A significant decrease in one or more metric values in the period following stream channel restoration was the basis for determining impairment to the macroinvertebrate communities in Silver Creek.

Comparison of pre-restoration (2001–13) and post‑restoration (2016) macroinvertebrate community composition at trend sites determined that no significant decreases occurred in any metric parameter for communities sampled in 2016. Taxa and EPT richness of colonized assemblages at synoptic sites increased significantly from pre-restoration in 2013 to post-restoration in 2015 and 2016. Similarly, total and EPT abundances at synoptic sites showed non-significant increases from 2013 to 2015 and 2016. Significant seasonal differences in macroinvertebrate assemblages were apparent at synoptic site locations and likely reflected typical life-history patterns of increased insect emergence and development in the late spring and early summer months. Taxa and EPT richness were each significantly higher in spring and summer than in autumn, and total abundances were significantly higher in spring than in summer and autumn. No significant differences in community diversity or evenness of colonized communities were noted at synoptic site locations between pre- and post-restoration years or among seasons. Select community-metric results from the trend- and synoptic‑site sampling indicated that the Silver Creek restoration effort in 2014 did not result in a significant decline in resident macroinvertebrate communities.

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Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road Boise, Idaho 83702

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The U.S. Geological Survey (USGS) recently assessed the potential for undiscovered oil and gas resources of the Lena-Vilyui Basin Province, north of the Arctic Circle, as part of the Circum-Arctic Resource Appraisal program. The province is in the Russian Federation and is situated between the Verkhoyansk fold-and-thrust belt and the Siberian craton. The one assessment unit (AU) defined for this study—the Northern Priverkhoyansk Foredeep AU—was assessed for undiscovered, technically recoverable resources. The estimated mean volumes of undiscovered resources for the Northern Priverkhoyansk Foredeep in the Lena-Vilyui Basin Province are ~400 million barrels of crude oil, 1.3 trillion cubic feet of natural gas, and 40 million barrels of natural-gas liquids, practically all (99.49 percent) of which is north of the Arctic Circle.

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Contact Information, Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
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Menlo Park, CA 94025-3591
FAX 650-329-4936

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-11-22","noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5a60fb02e4b06e28e9c22b02","contributors":{"editors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":85592,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas E.","affiliations":[],"preferred":false,"id":723322,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gautier, D. L.","contributorId":69996,"corporation":false,"usgs":true,"family":"Gautier","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723323,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":150416,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy","email":"tklett@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":626348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":626349,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70170194,"text":"pp1824X - 2017 - Geology and assessment of undiscovered oil and gas resources of the Zyryanka Basin Province, 2008","interactions":[{"subject":{"id":70170194,"text":"pp1824X - 2017 - Geology and assessment of undiscovered oil and gas resources of the Zyryanka Basin Province, 2008","indexId":"pp1824X","publicationYear":"2017","noYear":false,"chapter":"X","title":"Geology and assessment of undiscovered oil and gas resources of the Zyryanka Basin Province, 2008"},"predicate":"IS_PART_OF","object":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"id":1}],"isPartOf":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"lastModifiedDate":"2024-06-26T13:56:40.207223","indexId":"pp1824X","displayToPublicDate":"2017-11-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1824","chapter":"X","title":"Geology and assessment of undiscovered oil and gas resources of the Zyryanka Basin Province, 2008","docAbstract":"

The U.S. Geological Survey (USGS) recently assessed the potential for undiscovered oil and gas resources of the Zyryanka Basin Province as part of the 2008 USGS Circum-Arctic Resource Appraisal program. The province is in the Russian Federation and is situated on the Omolon superterrane of the Kolyma block. The one assessment unit (AU) that was defined for this study, called the Zyryanka Basin AU, which coincides with the province, was assessed for undiscovered, technically recoverable, conventional resources. The estimated mean volumes of undiscovered resources in the Zyryanka Basin Province are ~72 million barrels of crude oil, 2,282 billion cubic feet of natural gas, and 61 million barrels of natural-gas liquids. About 66 percent of the study area and undiscovered petroleum resources are north of the Arctic Circle.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1824X","usgsCitation":"Klett, T.R., and Pitman, J.K., 2017, Geology and assessment of undiscovered oil and gas resources of the Zyryanka Basin Province, 2008, chap. X of Moore, T.E., and Gautier, D.L., eds., The 2008 Circum-Arctic Resource Appraisal: U.S. Geological Survey Professional Paper 1824, 11 p., https://doi.org/10.3133/pp1824X.","productDescription":"Report: vi, 11 p.; Appendix","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-050992","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":349289,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/x/pp1824x_appx.xls","text":"Appendix 1","size":"50 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1824 Chapter X","linkHelpText":"- Input Data for the Zyryanka Basin Assessment Unit"},{"id":349287,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1824/x/coverthb.jpg"},{"id":349288,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1824/x/pp1824_x.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1824 Chapter X"}],"country":"Russia","otherGeospatial":"Zyryanka Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 142,\n 64\n ],\n [\n 153,\n 64\n ],\n [\n 153,\n 69\n ],\n [\n 142,\n 69\n ],\n [\n 142,\n 64\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact Information, Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
FAX 650-329-4936

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-11-22","noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5a60fb02e4b06e28e9c22b00","contributors":{"editors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":85592,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas E.","affiliations":[],"preferred":false,"id":723336,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gautier, D. L.","contributorId":69996,"corporation":false,"usgs":true,"family":"Gautier","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":723337,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":150416,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy","email":"tklett@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":626354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":626355,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199762,"text":"70199762 - 2017 - Estimating discharge and nonpoint source nitrate loading to streams from three end‐member pathways using high‐frequency water quality data","interactions":[],"lastModifiedDate":"2018-09-27T14:15:17","indexId":"70199762","displayToPublicDate":"2017-11-21T13:34:20","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Estimating discharge and nonpoint source nitrate loading to streams from three end‐member pathways using high‐frequency water quality data","docAbstract":"

The myriad hydrologic and biogeochemical processes taking place in watersheds occurring across space and time are integrated and reflected in the quantity and quality of water in streams and rivers. Collection of high‐frequency water quality data with sensors in surface waters provides new opportunities to disentangle these processes and quantify sources and transport of water and solutes in the coupled groundwater‐surface water system. A new approach for separating the streamflow hydrograph into three components was developed and coupled with high‐frequency nitrate data to estimate time‐variable nitrate loads from chemically dilute quick flow, chemically concentrated quick flow, and slowflow groundwater end‐member pathways for periods of up to 2 years in a groundwater‐dominated and a quick‐flow‐dominated stream in central Wisconsin, using only streamflow and in‐stream water quality data. The dilute and concentrated quick flow end‐members were distinguished using high‐frequency specific conductance data. Results indicate that dilute quick flow contributed less than 5% of the nitrate load at both sites, whereas 89 ± 8% of the nitrate load at the groundwater‐dominated stream was from slowflow groundwater, and 84 ± 25% of the nitrate load at the quick‐flow‐dominated stream was from concentrated quick flow. Concentrated quick flow nitrate concentrations varied seasonally at both sites, with peak concentrations in the winter that were 2–3 times greater than minimum concentrations during the growing season. Application of this approach provides an opportunity to assess stream vulnerability to nonpoint source nitrate loading and expected stream responses to current or changing conditions and practices in watersheds.

","language":"English ","publisher":"American Geophysical Union","doi":"10.1002/2017WR021654","usgsCitation":"Miller, M.P., Tesoriero, A.J., Hood, K., Terziotti, S., and Wolock, D.M., 2017, Estimating discharge and nonpoint source nitrate loading to streams from three end‐member pathways using high‐frequency water quality data: Water Resources Research, v. 53, no. 12, p. 10201-10216, https://doi.org/10.1002/2017WR021654.","productDescription":"16 p.","startPage":"10201","endPage":"10216","ipdsId":"IP-091844","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"links":[{"id":469303,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr021654","text":"Publisher Index Page"},{"id":357845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"12","noUsgsAuthors":false,"publicationDate":"2017-12-07","publicationStatus":"PW","scienceBaseUri":"5bc030a6e4b0fc368eb53a0a","contributors":{"authors":[{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hood, Krista","contributorId":208243,"corporation":false,"usgs":false,"family":"Hood","given":"Krista","email":"","affiliations":[],"preferred":false,"id":746521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terziotti, Silvia 0000-0003-3559-5844 seterzio@usgs.gov","orcid":"https://orcid.org/0000-0003-3559-5844","contributorId":1613,"corporation":false,"usgs":true,"family":"Terziotti","given":"Silvia","email":"seterzio@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":746522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolock, David M. 0000-0002-6209-938X dwolock@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":540,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"dwolock@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":746523,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194583,"text":"70194583 - 2017 - Vaccine effects on heterogeneity in susceptibility and implications for population health management","interactions":[],"lastModifiedDate":"2017-12-08T10:33:00","indexId":"70194583","displayToPublicDate":"2017-11-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3819,"text":"mBio","active":true,"publicationSubtype":{"id":10}},"title":"Vaccine effects on heterogeneity in susceptibility and implications for population health management","docAbstract":"

Heterogeneity in host susceptibility is a key determinant of infectious disease dynamics but is rarely accounted for in assessment of disease control measures. Understanding how susceptibility is distributed in populations, and how control measures change this distribution, is integral to predicting the course of epidemics with and without interventions. Using multiple experimental and modeling approaches, we show that rainbow trout have relatively homogeneous susceptibility to infection with infectious hematopoietic necrosis virus and that vaccination increases heterogeneity in susceptibility in a nearly all-or-nothing fashion. In a simple transmission model with an R0 of 2, the highly heterogeneous vaccine protection would cause a 35 percentage-point reduction in outbreak size over an intervention inducing homogenous protection at the same mean level. More broadly, these findings provide validation of methodology that can help to reduce biases in predictions of vaccine impact in natural settings and provide insight into how vaccination shapes population susceptibility.

","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mBio.00796-17","usgsCitation":"Langwig, K.E., Wargo, A.R., Jones, D.R., Viss, J.R., Rutan, B.J., Egan, N.A., Sa-Guimaraes, P., Kim, M.S., Kurath, G., Gomes, M.G., and Lipsitch, M., 2017, Vaccine effects on heterogeneity in susceptibility and implications for population health management: mBio, v. 8, no. 6, p. 1-13, https://doi.org/10.1128/mBio.00796-17.","productDescription":" e00796-17; 13 p.","startPage":"1","endPage":"13","onlineOnly":"N","ipdsId":"IP-082928","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":469304,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/mbio.00796-17","text":"Publisher Index Page"},{"id":349869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb02e4b06e28e9c22b05","contributors":{"editors":[{"text":"Bansal, Shweta","contributorId":168595,"corporation":false,"usgs":false,"family":"Bansal","given":"Shweta","email":"","affiliations":[{"id":25339,"text":"Dep't of Biology, Georgetown U., Washington D.C., NIH, Bethesda, MD","active":true,"usgs":false}],"preferred":false,"id":724691,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Pettigrew, Melinda M.","contributorId":201230,"corporation":false,"usgs":false,"family":"Pettigrew","given":"Melinda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724692,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Langwig, Kate E.","contributorId":127717,"corporation":false,"usgs":false,"family":"Langwig","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":724562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wargo, Andrew R.","contributorId":201137,"corporation":false,"usgs":false,"family":"Wargo","given":"Andrew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Darbi R.","contributorId":201191,"corporation":false,"usgs":false,"family":"Jones","given":"Darbi","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724564,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viss, Jessie R.","contributorId":201192,"corporation":false,"usgs":false,"family":"Viss","given":"Jessie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rutan, Barbara J.","contributorId":201193,"corporation":false,"usgs":false,"family":"Rutan","given":"Barbara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724566,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Egan, Nicholas A.","contributorId":201194,"corporation":false,"usgs":false,"family":"Egan","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724567,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sa-Guimaraes, Pedro","contributorId":201195,"corporation":false,"usgs":false,"family":"Sa-Guimaraes","given":"Pedro","email":"","affiliations":[],"preferred":false,"id":724568,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kim, Min Sun","contributorId":201196,"corporation":false,"usgs":true,"family":"Kim","given":"Min","email":"","middleInitial":"Sun","affiliations":[],"preferred":false,"id":724569,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kurath, Gael 0000-0003-3294-560X gkurath@usgs.gov","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":2629,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","email":"gkurath@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":724561,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gomes, M. Gabriela M.","contributorId":201197,"corporation":false,"usgs":false,"family":"Gomes","given":"M.","email":"","middleInitial":"Gabriela M.","affiliations":[],"preferred":false,"id":724570,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lipsitch, Marc","contributorId":201198,"corporation":false,"usgs":false,"family":"Lipsitch","given":"Marc","email":"","affiliations":[],"preferred":false,"id":724571,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70193922,"text":"ofr20171146 - 2017 - Timing of warm water refuge use in Crystal River National Wildlife Refuge by manatees—Results and insights from Global Positioning System telemetry data","interactions":[],"lastModifiedDate":"2017-11-21T15:53:56","indexId":"ofr20171146","displayToPublicDate":"2017-11-21T00:00:00","publicationYear":"2017","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":"2017-1146","title":"Timing of warm water refuge use in Crystal River National Wildlife Refuge by manatees—Results and insights from Global Positioning System telemetry data","docAbstract":"

Managers at the U.S. Fish and Wildlife Service Crystal River National Wildlife Refuge (CRNWR) desire to update their management plan regarding the operation of select springs including Three Sisters Springs. They wish to refine existing parameters used to predict the presence of federally threatened Trichechus manatus latirostris (Florida manatee) in the springs and thereby improve their manatee management options. The U.S. Geological Survey Sirenia Project has been tracking manatees in the CRNWR area since 2006 with floating Global Positioning System (GPS) satellite-monitored telemetry tags. Analyzing movements of these tagged manatees will provide valuable insight into their habitat use patterns.

A total of 136 GPS telemetry bouts were available for this project, representing 730,009 locations generated from 40 manatees tagged in the Gulf of Mexico north of Tampa, Florida. Dates from October through March were included to correspond to the times that cold ambient temperatures were expected, thus requiring a need for manatee thermoregulation and a physiologic need for warm water. Water level (tide) and water temperatures were obtained for the study from Salt River, Crystal River mouth, Bagley Cove, Kings Bay mouth, and Magnolia Spring. Polygons were drawn to subdivide the manatee locations into areas around the most-used springs (Three Sisters/Idiots Delight, House/Hunter/Jurassic, Magnolia and King), Kings Bay, Crystal/Salt Rivers and the Gulf of Mexico.

Manatees were found in the Crystal or Salt Rivers or in the Gulf of Mexico when ambient temperatures were warmer (>20 °C), while they were found in or near the springs (especially Three Sisters Springs) at colder ambient water temperatures. There was a trend of manatees entering springs early in the morning and leaving in the afternoon. There was a strong association of manatee movements in and out of the Three Sisters/Idiots Delight polygon with tide cycles: manatees were more likely to enter the Three Sisters/Idiots Delight polygon on an incoming tide, and leave the polygon on an outgoing tide. Both movement directions were associated with midtide. Future analysis will incorporate human activity and a finer spatial scale, including movements between Three Sisters Springs and Idiots Delight and nearby canals.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171146","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Slone, D.H., Butler, S.M., Reid, J.P., and Haase, C.G., 2017, Timing of warm water refuge use in Crystal River National Wildlife Refuge by manatees—Results and insights from Global Positioning System telemetry data: U.S. Geological Survey Open-File Report 2017–1146, 17 p., https://doi.org/10.3133/ofr20171146.","productDescription":"Report: v, 17 p.; Data Release","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091745","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":349180,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1146/ofr20171146.pdf","text":"Report","size":"1.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1146"},{"id":349181,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78P5ZGR","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water temperature in Three Sisters Springs, and water temperature and level in Magnolia Spring: Winter 2014–15"},{"id":349179,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1146/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Crystal River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.850,\n 28.830\n ],\n [\n -82.570,\n 28.830\n ],\n [\n -82.570,\n 28.955\n ],\n [\n -82.850,\n 28.955\n ],\n [\n -82.850,\n 28.830\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Wetland and Aquatic Research Center
U.S. Geological Survey
7920 NW 71 Street 
Gainesville, FL 32653

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Annual peak streamflow (peak flow) at a streamgage is defined as the maximum instantaneous flow in a water year. A water year begins on October 1 and continues through September 30 of the following year; for example, water year 2015 extends from October 1, 2014, through September 30, 2015. The accuracy, characterization, and completeness of the peak streamflow data are critical in determining flood-frequency estimates that are used daily to design water and transportation infrastructure, delineate flood-plain boundaries, and regulate development and utilization of lands throughout the United States and are essential to understanding the implications of climate and land-use change on flooding and high-flow conditions.

As of November 14, 2016, peak-flow data existed for 27,240 unique streamgages in the United States and its territories. The data, collectively referred to as the “peak-flow file,” are available as part of the U.S. Geological Survey (USGS) public web interface, the National Water Information System, at https://nwis.waterdata.usgs.gov/usa/nwis/peak. Although the data have been routinely subjected to periodic review by the USGS Office of Surface Water and screening at the USGS Water Science Center level, these data were not reviewed in a national, systematic manner until 2008 when automated scripts were developed and applied to detect potential errors in peak-flow values and their associated dates, gage heights, and peak-flow qualification codes, as well as qualification codes associated with the gage heights. USGS scientists and hydrographers studied the resulting output, accessed basic records and field notes, and corrected observed errors or, more commonly, confirmed existing data as correct.

This report summarizes the changes in peak-flow file data at a national level, illustrates their nature and causation, and identifies the streamgages affected by these changes. Specifically, the peak-flow data were compared for streamgages with peak flow measured as of November 19, 2008 (before the automated scripts were widely applied) and on November 14, 2016 (after several rounds of corrections). There were 659,332 peak-flow values in the 2008 dataset and 731,965 peak-flow values in the 2016 dataset. When compared to the 2016 dataset, 5,179 (0.79 percent) peak-flow values had changed; 36,506 (5.54 percent) of the peak-flow qualification codes had changed; 1,938 (0.29 percent) peak-flow dates had changed; 18,599 (2.82 percent) of the peak-flow gage heights had changed; and 20,683 (3.14 percent) of the gage-height qualification codes had changed—most as a direct result of the peak-flow file data verification effort led by USGS personnel. The various types of changes are summarized and mapped in this report. In addition to this report, a corresponding USGS data release is provided to identify changes in peak flows at individual streamgages. The data release and the procedures to access the data release are described in this report.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175119","usgsCitation":"Ryberg, K.R., Goree, B.B., Williams-Sether, Tara, and Mason, R.R., Jr., 2017, The U.S. Geological Survey Peak-Flow File Data Verification Project, 2008–16: U.S. Geological Survey Scientific Investigations Report 2017–5119, 61 p., https://doi.org/10.31333/sir20175119.","productDescription":"Report: vii, 63 p.; Appendixes 1-2; Data Release","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068669","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":347884,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GH9G3P","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data documenting the U.S. Geological Survey peak-flow file data verification project, 2008-16"},{"id":347883,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5119/sir20175119_appendix2.R","text":"Appendix 2","size":"22 kB","description":"SIR 2017–5119 Appendix 2"},{"id":347882,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5119/sir20175119_appendix1.pdf","text":"Appendix 1","size":"220 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5119 Appendix 1"},{"id":347880,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5119/coverthb.jpg"},{"id":347881,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5119/sir20175119.pdf","size":"5.87 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5119"}],"country":"United 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States\"}}]}","contact":"

Director, Office of Surface Water
U.S. Geological Survey
415 National Center
12201 Sunrise Valley Drive
Reston, VA 20192

","tableOfContents":"



","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-11-21","noUsgsAuthors":false,"publicationDate":"2017-11-21","publicationStatus":"PW","scienceBaseUri":"5a60fb03e4b06e28e9c22b0a","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goree, Burl B. 0000-0003-3278-0403 bbgoree@usgs.gov","orcid":"https://orcid.org/0000-0003-3278-0403","contributorId":3508,"corporation":false,"usgs":true,"family":"Goree","given":"Burl","email":"bbgoree@usgs.gov","middleInitial":"B.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams-Sether, Tara 0000-0001-6515-9416 tjsether@usgs.gov","orcid":"https://orcid.org/0000-0001-6515-9416","contributorId":152247,"corporation":false,"usgs":true,"family":"Williams-Sether","given":"Tara","email":"tjsether@usgs.gov","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason,, Robert R. Jr. 0000-0002-3998-3468 rrmason@usgs.gov","orcid":"https://orcid.org/0000-0002-3998-3468","contributorId":176493,"corporation":false,"usgs":true,"family":"Mason,","given":"Robert R.","suffix":"Jr.","email":"rrmason@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":false,"id":711601,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189980,"text":"sir20175022P - 2017 - Geologic field-trip guide to the volcanic and hydrothermal landscape of the Yellowstone Plateau","interactions":[{"subject":{"id":70189980,"text":"sir20175022P - 2017 - Geologic field-trip guide to the volcanic and hydrothermal landscape of the Yellowstone Plateau","indexId":"sir20175022P","publicationYear":"2017","noYear":false,"chapter":"P","title":"Geologic field-trip guide to the volcanic and hydrothermal landscape of the Yellowstone Plateau"},"predicate":"IS_PART_OF","object":{"id":70188710,"text":"sir20175022 - 2017 - Field-trip guides to selected volcanoes and volcanic landscapes of the western United States","indexId":"sir20175022","publicationYear":"2017","noYear":false,"title":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States"},"id":1}],"isPartOf":{"id":70188710,"text":"sir20175022 - 2017 - Field-trip guides to selected volcanoes and volcanic landscapes of the western United States","indexId":"sir20175022","publicationYear":"2017","noYear":false,"title":"Field-trip guides to selected volcanoes and volcanic landscapes of the western United States"},"lastModifiedDate":"2017-11-28T13:30:36","indexId":"sir20175022P","displayToPublicDate":"2017-11-20T00:00:00","publicationYear":"2017","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":"2017-5022","chapter":"P","title":"Geologic field-trip guide to the volcanic and hydrothermal landscape of the Yellowstone Plateau","docAbstract":"

Yellowstone National Park, a nearly 9,000 km2 (~3,468 mi2) area, was preserved in 1872 as the world’s first national park for its unique, extraordinary, and magnificent natural features. Rimmed by a crescent of older mountainous terrain, Yellowstone National Park has at its core the Quaternary Yellowstone Plateau, an undulating landscape shaped by forces of late Cenozoic explosive and effusive volcanism, on-going tectonism, glaciation, and hydrothermal activity. The Yellowstone Caldera is the centerpiece of the Yellowstone Plateau. 

The Yellowstone Plateau lies at the most northeastern front of the 17-Ma Yellowstone hot spot track, one of the few places on Earth where time-transgressive processes on continental crust can be observed in the volcanic and tectonic (faulting and uplift) record at the rate and direction predicted by plate motion. 

Over six days, this field trip presents an intensive overview into volcanism, tectonism, and hydrothermal activity on the Yellowstone Plateau (fig. 1). Field stops are linked directly to conceptual models related to monitoring of the various volcanic, geochemical, hydrothermal, and tectonic aspects of the greater Yellowstone system. Recent interest in young and possible future volcanism at Yellowstone as well as new discoveries and synthesis of previous studies, (for example, tomographic, deformation, gas, aeromagnetic, bathymetric, and seismic surveys), provide a framework in which to discuss volcanic, hydrothermal, and seismic activity in this dynamic region.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175022P","usgsCitation":"Morgan, L.A., Shanks, W.C.P., Lowenstern, J.B., Farrell, J.M., and Robinson, J.E., 2017, Geologic field-trip guide to the volcanic and hydrothermal landscape of the Yellowstone Plateau: U.S. Geological Survey Scientific Investigations Report 2017–5022–P, 100 p., https://doi.org/10.3133/sir20175022P.","productDescription":"Report: xii, 100 p.","numberOfPages":"116","onlineOnly":"Y","ipdsId":"IP-078118","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":349171,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5022/p/coverthb.jpg"},{"id":349172,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5022/p/sir20175022_p.pdf","text":"Report","size":"17.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5022-P"}],"country":"United States","otherGeospatial":"Yellowstone Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.5,\n 44\n ],\n [\n -109.75,\n 44\n ],\n [\n -109.75,\n 45\n ],\n [\n -111.5,\n 45\n ],\n [\n -111.5,\n 44\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Volcano Science Center - Menlo Park
U.S. Geological Survey
345 Middlefield Road, MS 910
Menlo Park, CA 94025

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-11-20","noUsgsAuthors":false,"publicationDate":"2017-11-20","publicationStatus":"PW","scienceBaseUri":"5a60fb0ee4b06e28e9c22b71","contributors":{"authors":[{"text":"Morgan Morzel, Lisa Ann lmorgan@usgs.gov","contributorId":761,"corporation":false,"usgs":true,"family":"Morgan Morzel","given":"Lisa Ann","email":"lmorgan@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":706972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanks, W. C. Pat pshanks@usgs.gov","contributorId":193431,"corporation":false,"usgs":true,"family":"Shanks","given":"W.","email":"pshanks@usgs.gov","middleInitial":"C. Pat","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":706973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrell, Jamie M.","contributorId":195400,"corporation":false,"usgs":false,"family":"Farrell","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":706974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":706976,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70194215,"text":"70194215 - 2017 - Intraspecific evolutionary relationships among peregrine falcons in western North American high latitudes","interactions":[],"lastModifiedDate":"2018-08-19T10:05:56","indexId":"70194215","displayToPublicDate":"2017-11-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Intraspecific evolutionary relationships among peregrine falcons in western North American high latitudes","docAbstract":"

Subspecies relationships within the peregrine falcon (Falco peregrinus) have been long debated because of the polytypic nature of melanin-based plumage characteristics used in subspecies designations and potential differentiation of local subpopulations due to philopatry. In North America, understanding the evolutionary relationships among subspecies may have been further complicated by the introduction of captive bred peregrines originating from non-native stock, as part of recovery efforts associated with mid 20th century population declines resulting from organochloride pollution. Alaska hosts all three nominal subspecies of North American peregrine falcons–F. p. tundrius, anatum, and pealei–for which distributions in Alaska are broadly associated with nesting locales within Arctic, boreal, and south coastal maritime habitats, respectively. Unlike elsewhere, populations of peregrine falcon in Alaska were not augmented by captive-bred birds during the late 20th century recovery efforts. Population genetic differentiation analyses of peregrine populations in Alaska, based on sequence data from the mitochondrial DNA control region and fragment data from microsatellite loci, failed to uncover genetic distinction between populations of peregrines occupying Arctic and boreal Alaskan locales. However, the maritime subspecies, pealei, was genetically differentiated from Arctic and boreal populations, and substructured into eastern and western populations. Levels of interpopulational gene flow between anatum and tundrius were generally higher than between pealei and either anatum or tundrius. Estimates based on both marker types revealed gene flow between augmented Canadian populations and unaugmented Alaskan populations. While we make no attempt at formal taxonomic revision, our data suggest that peregrine falcons occupying habitats in Alaska and the North Pacific coast of North America belong to two distinct regional groupings–a coastal grouping (pealei) and a boreal/Arctic grouping (currently anatum and tundrius)–each comprised of discrete populations that are variously intra-regionally connected.

","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0188185","usgsCitation":"Talbot, S.L., Sage, G.K., Sonsthagen, S.A., Gravley, M.C., Swem, T., Williams, J.C., Longmire, J.L., Ambrose, S., Flamme, M.J., Lewis, S.B., Phillips, L.M., Anderson, C., and White, C., 2017, Intraspecific evolutionary relationships among peregrine falcons in western North American high latitudes: PLoS ONE, v. 12, no. 11, p. 1-25, https://doi.org/10.1371/journal.pone.0188185.","productDescription":"e0188185; 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-070365","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":469305,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0188185","text":"Publisher Index Page"},{"id":438145,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7F18WV0","text":"USGS data release","linkHelpText":"Peregrine Falcon (Falco peregrinus) mtDNA and Microsatellite Genetic Data, Alaska, Canada and Russia, 1880-2012"},{"id":349123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -180.17578125,\n 50.17689812200107\n ],\n [\n -99.84374999999999,\n 50.17689812200107\n ],\n [\n -99.84374999999999,\n 72.0739114882038\n ],\n [\n -180.17578125,\n 72.0739114882038\n ],\n [\n -180.17578125,\n 50.17689812200107\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","scienceBaseUri":"5a60fb0de4b06e28e9c22b69","contributors":{"authors":[{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":722722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":722723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","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":722724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gravley, Megan C. 0000-0002-4947-0236 mgravley@usgs.gov","orcid":"https://orcid.org/0000-0002-4947-0236","contributorId":202812,"corporation":false,"usgs":true,"family":"Gravley","given":"Megan","email":"mgravley@usgs.gov","middleInitial":"C.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":722734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swem, Ted","contributorId":200583,"corporation":false,"usgs":false,"family":"Swem","given":"Ted","affiliations":[],"preferred":false,"id":722725,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Jeffrey C.","contributorId":126882,"corporation":false,"usgs":false,"family":"Williams","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":722726,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Longmire, Jonathan L.","contributorId":35845,"corporation":false,"usgs":false,"family":"Longmire","given":"Jonathan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722727,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ambrose, Skip","contributorId":200584,"corporation":false,"usgs":false,"family":"Ambrose","given":"Skip","email":"","affiliations":[],"preferred":false,"id":722728,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Flamme, Melanie J.","contributorId":200585,"corporation":false,"usgs":false,"family":"Flamme","given":"Melanie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722729,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lewis, Stephen B.","contributorId":200586,"corporation":false,"usgs":false,"family":"Lewis","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":722730,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Phillips, Laura M.","contributorId":49497,"corporation":false,"usgs":false,"family":"Phillips","given":"Laura","email":"","middleInitial":"M.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":722731,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Anderson, Clifford","contributorId":200587,"corporation":false,"usgs":false,"family":"Anderson","given":"Clifford","email":"","affiliations":[],"preferred":false,"id":722732,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"White, Clayton M","contributorId":200588,"corporation":false,"usgs":false,"family":"White","given":"Clayton M","affiliations":[],"preferred":false,"id":722733,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70192132,"text":"ofr20171132 - 2017 - An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis)","interactions":[],"lastModifiedDate":"2017-11-21T11:28:07","indexId":"ofr20171132","displayToPublicDate":"2017-11-20T00:00:00","publicationYear":"2017","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":"2017-1132","displayTitle":"An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis)","title":"An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis)","docAbstract":"

Red tides (blooms of the harmful alga Karenia brevis) are one of the major sources of mortality for the Florida manatee (Trichechus manatus latirostris), especially in southwest Florida. It has been hypothesized that the frequency and severity of red tides may increase in the future because of global climate change and other factors. To improve our ecological forecast for the effects of red tides on manatee population dynamics and long-term persistence, we conducted a formal expert judgment process to estimate probability distributions for the frequency and relative magnitude of red-tide-related manatee mortality (RTMM) events over a 100-year time horizon in three of the four regions recognized as manatee management units in Florida. This information was used to update a population viability analysis for the Florida manatee (the Core Biological Model). We convened a panel of 12 experts in manatee biology or red-tide ecology; the panel met to frame, conduct, and discuss the elicitation. Each expert provided a best estimate and plausible low and high values (bounding a confidence level of 80 percent) for each parameter in each of three regions (Northwest, Southwest, and Atlantic) of the subspecies’ range (excluding the Upper St. Johns River region) for two time periods (0−40 and 41−100 years from present). We fitted probability distributions for each parameter, time period, and expert by using these three elicited values. We aggregated the parameter estimates elicited from individual experts and fitted a parametric distribution to the aggregated results.

Across regions, the experts expected the future frequency of RTMM events to be higher than historical levels, which is consistent with the hypothesis that global climate change (among other factors) may increase the frequency of red-tide blooms. The experts articulated considerable uncertainty, however, about the future frequency of RTMM events. The historical frequency of moderate and intense RTMM (combined) in the Southwest region was 0.35 (80-percent confidence interval [CI]: 0.21−0.52), whereas the forecast probability was 0.48 (80-percent CI: 0.30−0.64) over a 40-year projected time horizon. Moderate and intense RTMM events are expected to continue to be most frequent in the Southwest region, to increase in mean frequency in the Northwest region (historical frequency of moderate and intense RTMM events [combined] in the Northwest region was 0, whereas the forecast probability was 0.12 [80-percent CI: 0.02−0.39] over a 40-year projected time horizon) and in the Atlantic region (historical frequency of moderate and intense RTMM events [combined] in the Atlantic region was 0.05 [80-percent CI: 0.005–0.18], whereas the forecast probability was 0.11 [80-percent CI: 0.03−0.25] over a 40-year projected time horizon), and to remain absent from the Upper St. Johns River region.

The impact of red-tide blooms on manatee mortality has been measured for the Southwest region but not for the Northwest and Atlantic regions, where such events have been rare. The expert panel predicted that the median magnitude of RTMM events in the Atlantic and Northwest regions will be much smaller than that in the Southwest; given the large uncertainties, however, they acknowledged the possibility that these events could be larger in their mortality impacts than in the Southwest region.

By its nature, forecasting requires expert judgment because it is impossible to have empirical evidence about the future. The large uncertainties in parameter estimates over a 100-year timeframe are to be expected and may also indicate that the training provided to panelists successfully minimized one common pitfall of expert judgment, that of overconfidence. This study has provided useful and needed inputs to the Florida manatee population viability analysis associated with an important and recurrent source of mortality from harmful algal blooms.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171132","collaboration":"Prepared in cooperation with the Florida Fish and Wildlife Conservation Commission","usgsCitation":"Martin, Julien, Runge, M.C., Flewelling, L.J., Deutsch, C.J., and Landsberg, J.H., 2017, An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis): U.S. Geological Survey Open-File Report 2017–1132, 17 p., https://doi.org/10.3133/ofr20171132.","productDescription":"Report: vi, 17 p.; Data Release","numberOfPages":"28","ipdsId":"IP-084079","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":348904,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1132/ofr20171132.pdf","text":"Report","size":"725 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1132"},{"id":348905,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78P5XQG","text":"USGS data release","description":"USGS Data Release","linkHelpText":"An expert elicitation process to project the frequency and magnitude of Florida manatee mortality events caused by red tide (Karenia brevis)"},{"id":348903,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1132/coverthb.jpg"}],"contact":"

Director, Wetland and Aquatic Research Center
U.S. Geological Survey
7920 NW 71St Street
Gainesville, FL 32653

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-11-20","noUsgsAuthors":false,"publicationDate":"2017-11-20","publicationStatus":"PW","scienceBaseUri":"5a60fb0de4b06e28e9c22b6e","contributors":{"authors":[{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":714349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":714351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flewelling, Leanne J.","contributorId":197802,"corporation":false,"usgs":false,"family":"Flewelling","given":"Leanne","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deutsch, Charles J.","contributorId":190249,"corporation":false,"usgs":false,"family":"Deutsch","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landsberg, Jan H.","contributorId":24325,"corporation":false,"usgs":true,"family":"Landsberg","given":"Jan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":722249,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70252864,"text":"70252864 - 2017 - Design- and model-based recommendations for detecting and quantifying an amphibian pathogen in environmental samples","interactions":[],"lastModifiedDate":"2024-04-09T12:15:41.550299","indexId":"70252864","displayToPublicDate":"2017-11-17T07:11:55","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17456,"text":"Ecolology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Design- and model-based recommendations for detecting and quantifying an amphibian pathogen in environmental samples","docAbstract":"

Accurate pathogen detection is essential for developing management strategies to address emerging infectious diseases, an increasingly prominent threat to wildlife. Sampling for free-living pathogens outside of their hosts has benefits for inference and study efficiency, but is still uncommon. We used a laboratory experiment to evaluate the influences of pathogen concentration, water type, and qPCR inhibitors on the detection and quantification of Batrachochytrium dendrobatidis (Bd) using water filtration. We compared results pre- and post-inhibitor removal, and assessed inferential differences when single versus multiple samples were collected across space or time. We found that qPCR inhibition influenced both Bd detection and quantification in natural water samples, resulting in biased inferences about Bd occurrence and abundance. Biases in occurrence could be mitigated by collecting multiple samples in space or time, but biases in Bd quantification were persistent. Differences in Bd concentration resulted in variation in detection probability, indicating that occupancy modeling could be used to explore factors influencing heterogeneity in Bd abundance among samples, sites, or over time. Our work will influence the design of studies involving amphibian disease dynamics and studies utilizing environmental DNA (eDNA) to understand species distributions.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3616","usgsCitation":"Mosher, B.A., Huyvaert, K., Chestnut, T.E., Kerby, J., Madison, J.D., and Bailey, L.L., 2017, Design- and model-based recommendations for detecting and quantifying an amphibian pathogen in environmental samples: Ecolology and Evolution, v. 7, no. 24, p. 10952-10962, https://doi.org/10.1002/ece3.3616.","productDescription":"11 p.","startPage":"10952","endPage":"10962","ipdsId":"IP-092387","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":469306,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3616","text":"Publisher Index Page"},{"id":427617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"24","noUsgsAuthors":false,"publicationDate":"2017-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Mosher, Brittany A.","contributorId":189579,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":898457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huyvaert, Kathryn 0000-0003-3302-030X","orcid":"https://orcid.org/0000-0003-3302-030X","contributorId":335488,"corporation":false,"usgs":false,"family":"Huyvaert","given":"Kathryn","email":"","affiliations":[{"id":80420,"text":"Colorado State Universtiy","active":true,"usgs":false}],"preferred":false,"id":898458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chestnut, Tara E. chestnut@usgs.gov","contributorId":335489,"corporation":false,"usgs":true,"family":"Chestnut","given":"Tara","email":"chestnut@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":898459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kerby, Jacob L.","contributorId":335490,"corporation":false,"usgs":false,"family":"Kerby","given":"Jacob L.","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":898460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Madison, Joseph D.","contributorId":335491,"corporation":false,"usgs":false,"family":"Madison","given":"Joseph","email":"","middleInitial":"D.","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":898461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, Larissa L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":335492,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa","email":"","middleInitial":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":898462,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}