{"pageNumber":"720","pageRowStart":"17975","pageSize":"25","recordCount":184900,"records":[{"id":70205080,"text":"70205080 - 2019 - Enhancing reproductive assessments of the Florida manatee Trichechus manatus latirostris by establishing optimal time period and inhibin B baseline concentrations","interactions":[],"lastModifiedDate":"2019-10-11T16:03:43","indexId":"70205080","displayToPublicDate":"2019-08-22T07:36:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Enhancing reproductive assessments of the Florida manatee <i>Trichechus manatus latirostris</i> by establishing optimal time period and inhibin B baseline concentrations","title":"Enhancing reproductive assessments of the Florida manatee Trichechus manatus latirostris by establishing optimal time period and inhibin B baseline concentrations","docAbstract":"<p><span>The Florida manatee&nbsp;</span><i>Trichechus manatus latirostris</i><span>&nbsp;occupies coastal and riverine habitats that may influence the species’ endogenous biological rhythms, including its reproductive potential. Inhibin B provides a biomarker of gonadal function and reproductive potential in humans and other eutherian mammals. This study examined the influence of size, sex, and time of year on inhibin B levels in manatees sampled among 3 habitats with varying degrees of environmental stress in Florida. Inhibin B levels in 38 males averaged (±SE) 4.90 ± 0.23 pg ml</span><sup>-1</sup><span>; the average level in 31 females was 5.63 ± 0.46 pg ml</span><sup>-1</sup><span>. Elevated patterns in inhibin B were exhibited between mid-March and mid-August corresponding to increased mating activity and testicular function, with significant differences in inhibin B levels between male and female manatees (p = 0.03) throughout the year. No significant differences in inhibin B were detected between low- and high-impacted sampling locations during winter, suggesting the potential influence of environmental stress on manatee reproduction may be best examined between mid-March and mid-August—the midpoint of the reproductively active, non-winter time period. Establishing temporal baselines for inhibin B values may be useful in assessing manatee reproductive status and potential conservation threats, shedding light on fertility potential, and enabling future assessment of the effects of stressors on reproduction in Florida manatees.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00972","usgsCitation":"Wetzel, D., Reynolds, J.E., Bonde, R., Schloesser, R., Schwierzke-Wade, L., and Roudebush, W., 2019, Enhancing reproductive assessments of the Florida manatee Trichechus manatus latirostris by establishing optimal time period and inhibin B baseline concentrations: Endangered Species Research, v. 39, p. 283-292, https://doi.org/10.3354/esr00972.","productDescription":"10 p.","startPage":"283","endPage":"292","ipdsId":"IP-101910","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00972","text":"Publisher Index Page"},{"id":367108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":769892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schloesser, Ryan W","contributorId":218679,"corporation":false,"usgs":false,"family":"Schloesser","given":"Ryan W","affiliations":[{"id":39884,"text":"Mote Marine Lab","active":true,"usgs":false}],"preferred":false,"id":769897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwierzke-Wade, Leslie","contributorId":218677,"corporation":false,"usgs":false,"family":"Schwierzke-Wade","given":"Leslie","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":769895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roudebush, William E","contributorId":218678,"corporation":false,"usgs":false,"family":"Roudebush","given":"William E","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":769896,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70206869,"text":"70206869 - 2019 - Mechanisms of methane hydrate formation in geological systems","interactions":[],"lastModifiedDate":"2020-02-06T11:01:38","indexId":"70206869","displayToPublicDate":"2019-08-22T07:02:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of methane hydrate formation in geological systems","docAbstract":"Natural gas hydrates are ice-like mixtures of gas (mostly methane) and water that are widely found in sediments along the world’s continental margins and within and beneath permafrost in a near-surface depth interval where the pressure is sufficiently high and temperature sufficiently low for gas hydrate to be stable. Beneath this interval, gas hydrate is not stable and free gas may be present. This paper reviews the multiple quantitative models that have proposed to describe the genesis of gas hydrate in geological systems. We emphasize the importance of coupling multi-phase flow (vapor and liquid) and multicomponent reactive transport with geological history to describe the dynamical processes of gas hydrate formation and evolution in geological systems. By understanding the generation and evolution of gas hydrate through time, we will better understand their role in the carbon cycle, their potential to contribute to climate change and geohazards, and how to design optimal strategies for the environmentally safe production of gas from hydrate reservoirs.","language":"English","publisher":"AGU","doi":"10.1029/2018RG000638","usgsCitation":"Kehua You, Flemings, P.B., Alberto Malinverno, Collett, T., and Darnell, K., 2019, Mechanisms of methane hydrate formation in geological systems: Reviews of Geophysics, v. 57, no. 4, p. 1146-1196, https://doi.org/10.1029/2018RG000638.","productDescription":"51 p.","startPage":"1146","endPage":"1196","ipdsId":"IP-106750","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":467350,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018rg000638","text":"Publisher Index Page"},{"id":369608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kehua You","contributorId":220889,"corporation":false,"usgs":false,"family":"Kehua You","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":776108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flemings, Peter B.","contributorId":220890,"corporation":false,"usgs":false,"family":"Flemings","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":776109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alberto Malinverno","contributorId":220891,"corporation":false,"usgs":false,"family":"Alberto Malinverno","affiliations":[{"id":40291,"text":"Lamont-Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":776110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":776107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Darnell, Kristopher","contributorId":220892,"corporation":false,"usgs":false,"family":"Darnell","given":"Kristopher","email":"","affiliations":[{"id":40292,"text":"Slingshot Aerospace","active":true,"usgs":false}],"preferred":false,"id":776111,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70206259,"text":"70206259 - 2019 - Carbon chemistry of intact versus chronically drained peatlands in the southeastern USA","interactions":[],"lastModifiedDate":"2019-10-28T06:54:12","indexId":"70206259","displayToPublicDate":"2019-08-22T06:53:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Carbon chemistry of intact versus chronically drained peatlands in the southeastern USA","docAbstract":"The Great Dismal Swamp (GDS) is a large temperate swamp in Virginia/North Carolina with peat soils historically resistant to microbial decomposition. However, this peatland has been subject to ~200 years of disturbance during which extensive drainage, fire suppression, and wide-spread logging have increased decomposition and dramatically decreased the distribution of Atlantic white cedar (AWC). The purpose of this study was to determine the impact of long-term drainage and AWC loss on the carbon chemistry of GDS peats. Peat cores were collected from three drained GDS vegetation communities (pocosin, AWC, and red maple-black gum) and compared to cores collected from an intact, undrained AWC peatland at the Alligator River National Wildlife Refuge (AR) in North Carolina, USA. The AR peats had higher lignin content in the deeper peat intervals, and lignin content and % organic carbon were largely invariant with depth compared to the GDS peats. The concentrations of syringyl group phenols were greater in the surface layers of GDS peats, likely reflecting the selective removal of AWC and transition from gymnosperms to angiosperms. Acid to aldehyde ratios for vanillyl and syringyl group phenols indicated that the GDS peats were more decomposed, particularly at depth, and that this occurred under aerobic conditions. Moreover, solid state 13C NMR confirmed a coincident loss of carbohydrates and increase in recalcitrant byproducts of carbohydrate degradation with depth. These data indicate that long-term drainage has accelerated the decomposition of peat at the GDS, reducing the capacity and stability of the carbon sink.","language":"English","publisher":"Wiley","doi":"10.1029/2019JG005079","usgsCitation":"Stricker, C.A., Drexler, J.Z., Thorn, K., Duberstein, J., and Rossman, S., 2019, Carbon chemistry of intact versus chronically drained peatlands in the southeastern USA: Journal of Geophysical Research: Biogeosciences, v. 124, no. 9, p. 2751-2767, https://doi.org/10.1029/2019JG005079.","productDescription":"17 p.","startPage":"2751","endPage":"2767","ipdsId":"IP-102949","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437361,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EFGR4F","text":"USGS data release","linkHelpText":"Lignin phenol data for solid phase peat cores collected from the Alligator River and Great Dismal Swamp National Wildlife 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Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorn, Kevin A. 0000-0003-2236-5193","orcid":"https://orcid.org/0000-0003-2236-5193","contributorId":220016,"corporation":false,"usgs":true,"family":"Thorn","given":"Kevin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":773960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duberstein, Jamie A.","contributorId":91007,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":773961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rossman, Sam","contributorId":8759,"corporation":false,"usgs":false,"family":"Rossman","given":"Sam","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":773962,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205456,"text":"70205456 - 2019 - Small ponds in headwater catchments are a dominant influence on regional nutrient and sediment budgets","interactions":[],"lastModifiedDate":"2020-09-01T13:56:45.587579","indexId":"70205456","displayToPublicDate":"2019-08-21T18:33:18","publicationYear":"2019","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":"Small ponds in headwater catchments are a dominant influence on regional nutrient and sediment budgets","docAbstract":"<p><span>Small ponds—farm ponds, detention ponds, or impoundments below 0.01 km</span><sup>2</sup><span>—serve important human needs throughout most large river basins. Yet the role of small ponds in regional nutrient and sediment budgets is essentially unknown, currently making it impossible to evaluate their management potential to achieve water quality objectives. Here we used new hydrography data sets and found that small ponds, depending on their spatial position within both their local catchments and the larger river network, can dominate the retention of nitrogen, phosphorus, and sediment compared to rivers, lakes, and reservoirs. Over 300,000 small ponds are collectively responsible for 34%, 69%, and 12% of the mean annual retention of nitrogen, phosphorus, and sediment in the Northeastern United States, respectively, with a dominant influence in headwater catchments (54%, 85%, and 50%, respectively). Small ponds play a critical role among the many aquatic features in long‐term nutrient and sediment loading to downstream waters.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL083937","usgsCitation":"Schmadel, N., Harvey, J., Schwarz, G., Alexander, R., Gomez-Velez, J., Scott, D., and Ator, S., 2019, Small ponds in headwater catchments are a dominant influence on regional nutrient and sediment budgets: Geophysical Research Letters, v. 46, no. 16, p. 9669-9677, https://doi.org/10.1029/2019GL083937.","productDescription":"9 p.","startPage":"9669","endPage":"9677","ipdsId":"IP-109711","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019gl083937","text":"Publisher Index Page"},{"id":367537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              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,{"id":70204835,"text":"ofr20191092 - 2019 - Fish and habitat assessment in Rock Creek, Klickitat County, Washington 2016–17","interactions":[],"lastModifiedDate":"2019-08-23T09:55:57","indexId":"ofr20191092","displayToPublicDate":"2019-08-21T14:48:01","publicationYear":"2019","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":"2019-1092","displayTitle":"Fish and Habitat Assessment in Rock Creek, Klickitat County, Washington, 2016−17","title":"Fish and habitat assessment in Rock Creek, Klickitat County, Washington 2016–17","docAbstract":"<h1>Executive Summary</h1><p class=\"p1\">Intermittent streams are important and productive for salmonid habitat. Rock Creek, in southeastern Washington, flows south to the Columbia River at river kilometer (rkm) 368 and is an intermittent stream of great significance to the Yakama Nation and to the Kah-miltpah (Rock Creek) Band in particular. Historically, native steelhead (anadromous form of rainbow trout [<i>Oncorhynchus mykiss</i>]) and bridgelip sucker (<i>Catostomus columbianus</i>) populations were used by the Kah-miltpah Band for sustenance, trade, and traditional practices. Anadromous salmonid populations currently present and being monitored in the Rock Creek subbasin include Coho (<i>O. kisutch</i>) salmon and steelhead. Resident rainbow trout are also present and monitored (rainbow trout and steelhead will be collectively referred to as <i>O. mykiss </i>throughout this report). Streamflow is a limiting habitat factor in this system, but despite this, steelhead and Coho salmon still successfully return to spawn, rear, out-migrate, and survive over-summer in many of the isolated pools.</p><p class=\"p1\">We completed habitat surveys during 2015–17 to assess the perennial pools during low-flow conditions. The lower river sections (rkm 2–13) had proportionately more dry sections than the upper river sections (rkm 14–22) for all years surveyed and had higher variability among habitat types across years. The surveyed dry sections within the lower river ranged from 44 to 57 percent, with 2015 (a drought year) as the highest and 2017 the lowest. The percentage of pool habitat in the lower river was 21−24 percent, with 2015 as the lowest and 2016 and 2017 both at 24 percent. The upper river sections had a relatively high percentage of non-pool wet habitat (49−51 percent), followed by dry (33−36 percent) and pool habitat (17−18 percent). In Walaluuks Creek, the percentage of pool habitat was the most consistent across the years, ranging from 10 to 13 percent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191092","collaboration":"Prepared in cooperation with the Yakama Nation Fisheries Program","usgsCitation":"Hardiman, J.M., and Harvey, Elaine, 2019, Fish and habitat assessment in Rock Creek, Klickitat County, Washington 2016–17: U.S. Geological Survey Open-File Report 2019-1092, 67 p., https://doi.org/10.3133/ofr20191092.","productDescription":"vi, 67 p.","onlineOnly":"Y","ipdsId":"IP-107346","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":366814,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1092/ofr20191092.pdf","text":"Report","size":"3.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1092"},{"id":366813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1092/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Rock Creek, Walaluuks Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.87158203125,\n              45.68891423419542\n            ],\n            [\n              -120.30303955078124,\n              45.68891423419542\n            ],\n            [\n              -120.30303955078124,\n              46.01699242164089\n            ],\n            [\n              -120.87158203125,\n              46.01699242164089\n            ],\n            [\n              -120.87158203125,\n              45.68891423419542\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Adaptive Management and Lessons Learned</li><li>Acknowledgments</li><li>References Cited</li><li>Appendixes 1—3</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hardiman, Jill M. 0000-0002-3661-9695 jhardiman@usgs.gov","orcid":"https://orcid.org/0000-0002-3661-9695","contributorId":2672,"corporation":false,"usgs":true,"family":"Hardiman","given":"Jill","email":"jhardiman@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":768675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Elaine","contributorId":203907,"corporation":false,"usgs":false,"family":"Harvey","given":"Elaine","email":"","affiliations":[{"id":36750,"text":"Yakama Nation Fisheries, 4 Bickleton Hwy, Goldendale, WA 98620","active":true,"usgs":false}],"preferred":false,"id":768676,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206501,"text":"70206501 - 2019 - Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States","interactions":[],"lastModifiedDate":"2019-12-06T10:46:24","indexId":"70206501","displayToPublicDate":"2019-08-21T14:00:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States","docAbstract":"Increasing global reliance on stormwater control measures to reduce discharge to surface water, increase groundwater recharge, and minimize contaminant delivery to receiving waterbodies necessitates improved understanding of stormwater-contaminant profiles. A multi-agency study of organic and inorganic chemicals in urban stormwater from 50 runoff events at 21 sites across the United States demonstrated that stormwater transports substantial mixtures of polycyclic aromatic hydrocarbons, bioactive contaminants (pesticides and pharmaceuticals), and other organic chemicals known or suspected to pose environmental health concern. Numerous organic-chemical detections per site (median number of chemicals detected = 73), individual concentrations exceeding 10,000 ng/L, and cumulative concentrations up to 263,000 ng/L suggested concern for potential environmental effects during runoff events. Organic concentrations, loads, and yields were positively correlated with impervious surfaces and highly developed urban catchments. Episodic storm-event organic concentrations and loads were comparable to and often exceeded those of daily wastewater plant discharges. Inorganic chemical concentrations were generally dilute in concentration and did not exceed chronic aquatic life criteria. Methylmercury was measured in 90% of samples with concentrations that ranged from 0.05 to 1.0 ng/L.","language":"English","publisher":"Environmental Science and Technology","doi":"10.1021/acs.est.9b02867","usgsCitation":"Masoner, J.R., Kolpin, D., Cozzarelli, I.M., Barber, L.B., Burden, D., Foreman, W.T., Forshay, K.J., Furlong, E., Groves, J.F., Hladik, M.L., Hopton, M.E., Jaeschke, J.B., Keefe, S.H., Krabbenhoft, D., Lowrance, R., Romanok, K., Rus, D.L., Selbig, W.R., Williams, B., and Bradley, P., 2019, Urban stormwater: An overlooked pathway of extensive mixed contaminants to surface and groundwaters in the United States: Environmental Science & Technology, v. 53, no. 17, p. 10070-10081, https://doi.org/10.1021/acs.est.9b02867.","productDescription":"12 p.","startPage":"10070","endPage":"10081","ipdsId":"IP-098988","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and 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Center","active":true,"usgs":true}],"preferred":true,"id":776852,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Williams, Brad 0000-0002-2827-6880 bradwilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-2827-6880","contributorId":194381,"corporation":false,"usgs":true,"family":"Williams","given":"Brad","email":"bradwilliams@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":776853,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bradley, Paul","contributorId":204643,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":776854,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70128734,"text":"tm6A52 - 2019 - SUTRA, a model for saturated-unsaturated, variable-density groundwater flow with solute or energy transport—Documentation of generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and the lake capability","interactions":[],"lastModifiedDate":"2019-08-23T09:31:13","indexId":"tm6A52","displayToPublicDate":"2019-08-21T13:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A52","displayTitle":"SUTRA, a Model for Saturated-Unsaturated, Variable-Density Groundwater Flow with Solute or Energy Transport—Documentation of Generalized Boundary Conditions, a Modified Implementation of Specified Pressures and Concentrations or Temperatures, and the Lake Capability","title":"SUTRA, a model for saturated-unsaturated, variable-density groundwater flow with solute or energy transport—Documentation of generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and the lake capability","docAbstract":"Version 3.0 of the SUTRA groundwater modeling program offers three new capabilities: generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and lakes. Two new types of “generalized” boundary conditions facilitate simulation of a wide range of hydrologic processes that interact with the groundwater model, such as rivers, drains, and evapotranspiration. For generalized-flow boundary conditions, gain (inflow) or loss (outflow) of fluid mass varies linearly with pressure, subject to optional upper and lower limits on flow and (or) pressure. For generalized-transport boundary conditions, gain or loss of solute mass or energy varies linearly with concentration or temperature, respectively. Two of the original types of SUTRA boundary conditions—specified-pressure and specified-concentration or temperature—have been modified such that user-specified, conductance-like factors (known as GNUP and GNUU in previous versions of SUTRA) are no longer required. The new lake capability works with all types of SUTRA boundary conditions, including the new generalized boundary conditions, to enable simulation of the interaction of groundwater flow and transport with lake water “ponded” on the surface of a three-dimensional model. SUTRA uses the topography of the top surface of the model, or, optionally, user-specified lake-bottom elevations, to identify potential lakes automatically. Increases and decreases in lake stage can cause lakes to coalesce and divide, respectively. The lake capability may be used with saturated or unsaturated flow and solute or energy transport.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Groundwater in Book 6 <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A52","collaboration":"Prepared in cooperation with the Strategic Environmental Research and Development Program","usgsCitation":"Provost, A.M., and Voss, C.I., 2019, SUTRA, a model for saturated-unsaturated, variable-density groundwater flow with solute or energy transport—Documentation of generalized boundary conditions, a modified implementation of specified pressures and concentrations or temperatures, and the lake capability: U.S. Geological Survey Techniques and Methods, book 6, chap. A52, 62 p., https://doi.org/10.3133/tm6A52.","productDescription":"viii, 62 p.","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-058173","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":437362,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PPEHHM","text":"USGS data release","linkHelpText":"SUTRA 3"},{"id":364789,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a52/tm6a52.pdf","text":"Report","size":"4.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-A52"},{"id":364788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a52/coverthb.jpg"}],"publicComments":"This report is Chapter 52 of Section A: Groundwater in Book 6 <i>Modeling Techniques</i>","contact":"<p>Director, Earth System Processes Division<br>U.S. Geological Survey<br>Mail Stop 411<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Chapter 1. Generalized Boundary Conditions</li><li>Chapter 2. Modified Implementation of Specified Pressures and Concentrations or Temperatures</li><li>Chapter 3. Lake Capability</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. List of Symbols</li><li>Appendix 2. Flow Across a Conductive Layer</li><li>Appendix 3. Input Data List</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Provost, Alden M. 0000-0002-4443-1107 aprovost@usgs.gov","orcid":"https://orcid.org/0000-0002-4443-1107","contributorId":138757,"corporation":false,"usgs":true,"family":"Provost","given":"Alden","email":"aprovost@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":764514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":764515,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204923,"text":"70204923 - 2019 - Topographic changes during the 2018 Kīlauea eruption from Single-pass Airborne InSAR","interactions":[],"lastModifiedDate":"2019-10-09T09:52:19","indexId":"70204923","displayToPublicDate":"2019-08-21T11:44:14","publicationYear":"2019","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":"Topographic changes during the 2018 Kīlauea eruption from Single-pass Airborne InSAR","docAbstract":"<p><span>The 2018 eruption of Kīlauea volcano, Hawai‘i, was its most effusive in over 200 years. We apply the airborne Glacier and Ice Surface Topography Interferometer (GLISTIN‐A) interferometric synthetic aperture radar (InSAR) instrument to measure topographic change associated with the eruption. The GLISTIN‐A radar flew in response to the eruption, acquiring observations of Kīlauea on seven days between May 18 and September 15, 2018. Topography differences were computed relative to GLISTIN‐A observations in 2017. Bare‐earth topography and off‐shore bathymetry were used to correct for vegetation and creation of new coastal land within the Lower East Rift Zone (LERZ) lava flow field. We estimate that the LERZ subaerial flows total bulk volume is 0.593 ± 0.011 km</span><sup><strong>3</strong></sup><span>&nbsp;and that the summit collapse volume is ‐0.836 ± 0.002 km</span><sup><strong>3</strong></sup><span>. Within the temporal sampling and uncertainty from submarine flow volumes, we find that both the LERZ and caldera volume changes were approximately linear.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL083501","usgsCitation":"Lundgren, P.R., Bagnardi, M., and Dietterich, H., 2019, Topographic changes during the 2018 Kīlauea eruption from Single-pass Airborne InSAR: Geophysical Research Letters, v. 46, no. 16, p. 9554-9562, https://doi.org/10.1029/2019GL083501.","productDescription":"9 p.","startPage":"9554","endPage":"9562","ipdsId":"IP-109727","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499832,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/9809feb9307f47abbabb80b6bb69da82","text":"External Repository"},{"id":366860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.53070068359375,\n              19.189271694646738\n            ],\n            [\n              -155.0994873046875,\n              19.189271694646738\n            ],\n            [\n              -155.0994873046875,\n              19.540378338405763\n            ],\n            [\n              -155.53070068359375,\n              19.540378338405763\n            ],\n            [\n              -155.53070068359375,\n              19.189271694646738\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"16","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundgren, Paul R","contributorId":218338,"corporation":false,"usgs":false,"family":"Lundgren","given":"Paul","email":"","middleInitial":"R","affiliations":[{"id":39807,"text":"NASA Jet Propulsion Lab","active":true,"usgs":false}],"preferred":false,"id":769038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagnardi, Marco","contributorId":124560,"corporation":false,"usgs":false,"family":"Bagnardi","given":"Marco","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":769039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dietterich, Hannah R. 0000-0001-7898-4343","orcid":"https://orcid.org/0000-0001-7898-4343","contributorId":212771,"corporation":false,"usgs":true,"family":"Dietterich","given":"Hannah R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":769037,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204921,"text":"70204921 - 2019 - The Yellow-billed Loon","interactions":[],"lastModifiedDate":"2019-08-26T11:27:56","indexId":"70204921","displayToPublicDate":"2019-08-21T11:21:13","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":161,"text":"Birds of North America","active":false,"publicationSubtype":{"id":3}},"title":"The Yellow-billed Loon","docAbstract":"<p><span>The Yellow-billed Loon, known in Europe as the White-billed Diver, is a relatively rare bird nesting in arctic tundra regions of North America and Eurasia. This species was first described by G. R. Gray in 1859 (</span><span class=\"ToggleUp\">1</span><span>), and named (</span><i class=\"SciName notranslate\">Gavia adamsii</i><span>) after the surgeon Dr. Edward Adams (who collected the first specimen) aboard the H.M.S.&nbsp;</span><i>Enterprise</i><span>&nbsp;on a voyage through Bering Strait. The Yellow-billed Loon is closely related and similar in appearance to the&nbsp;</span>Common Loon<span>&nbsp;(</span><i class=\"SciName notranslate\">G. immer</i><span>), but distinguished from the latter by bill shape and color. Further, the Yellow-billed Loon breeds generally north of the range of its more widespread relative, although the 2 species overlap on marine wintering grounds in the Pacific Northwest. Increasingly, however, vagrant Yellow-billed Loons have been recorded wintering well inland in North America, a phenomenon that likely stems in part from improved information on field identification of loons in Basic plumage.</span></p>","language":"English","publisher":"Cornell Lab of Ornithology","doi":"10.2173/bna.yebloo.02","usgsCitation":"Uher-Koch, B.D., North, M., and Schmutz, J.A., 2019, The Yellow-billed Loon: Birds of North America, https://doi.org/10.2173/bna.yebloo.02.","onlineOnly":"Y","ipdsId":"IP-098575","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":366913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366836,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.2173/bna.yebloo.02"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":769031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"North, Mike","contributorId":218334,"corporation":false,"usgs":false,"family":"North","given":"Mike","email":"","affiliations":[{"id":33419,"text":"USFWS (retired)","active":true,"usgs":false}],"preferred":false,"id":769033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@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":769032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204932,"text":"70204932 - 2019 - Local, temporal trajectories explain population-level responses to climate change in saguaro (Carnegiea gigantea)","interactions":[],"lastModifiedDate":"2019-08-26T09:28:44","indexId":"70204932","displayToPublicDate":"2019-08-21T10:51:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Local, temporal trajectories explain population-level responses to climate change in saguaro (<i>Carnegiea gigantea</i>)","title":"Local, temporal trajectories explain population-level responses to climate change in saguaro (Carnegiea gigantea)","docAbstract":"<p>Population demography is typically assumed to be strongly influenced by climatic factors, particularly with succulent plants and cacti. The saguaro cactus (<i>Carnegiea gigantea</i>) is a long‐lived columnar cactus of the Sonoran Desert that experiences episodic recruitment and mortality. Previous studies have attributed long‐term changes in saguaro populations to climatic factors, including increased germination and establishment during wet periods and mortality and reduced establishment during droughts and extreme freezes. We used a 48‐yr data set of marked individuals at the Desert Laboratory in Tucson, Arizona, to test the hypothesis that local, temporal population trajectories are mediated by topographic heterogeneity that interacts with fluctuating climatic conditions. We tested the influence of local slope and aspect vs. climatic variability on a population of saguaro using &gt;5800 marked individuals that have been measured since 1964. We examined the relationship between demography and climatic variables (drought, precipitation, and extreme temperatures) and found significant differences in growth and survival among aspects and among census periods. Saguaro population growth was higher during wet and cool periods (e.g., 1964–1970), and changes in age structures suggest that topographic differences interact with climatic fluctuations to produce unexpected demographic patterns including large recruitment events during periods of relatively unfavorable climate conditions. Our results highlight the importance of long‐term data to detect demographic responses to climate that could not be predicted from short‐term studies of plant physiology and population demography.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.2844","usgsCitation":"Rodriguez-Buritica, S., Winkler, D.E., Webb, R., and Venable, L., 2019, Local, temporal trajectories explain population-level responses to climate change in saguaro (Carnegiea gigantea): Ecosphere, v. 10, no. 8, e02844, 17 p., https://doi.org/10.1002/ecs2.2844.","productDescription":"e02844, 17 p.","ipdsId":"IP-104411","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467353,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecs2.2844","text":"External Repository"},{"id":366850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70204559,"text":"ds1115 - 2019 - Catalog of earthquake parameters and description of seismograph and infrasound stations at Alaskan volcanoes—January 1, 2013, through December 31, 2017","interactions":[],"lastModifiedDate":"2019-08-21T15:23:24","indexId":"ds1115","displayToPublicDate":"2019-08-21T09:34:53","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1115","displayTitle":"Catalog of Earthquake Parameters and Description of Seismograph and Infrasound Stations at Alaskan Volcanoes—January 1, 2013, through December 31, 2017","title":"Catalog of earthquake parameters and description of seismograph and infrasound stations at Alaskan volcanoes—January 1, 2013, through December 31, 2017","docAbstract":"<div>Between January 1, 2013, and December 31, 2017, the Alaska Volcano Observatory (AVO) located a total of 28,172 earthquakes at volcanoes in Alaska. The annual totals are 3,840, 5,819, 5,297, 6,151, and 7,065 earthquakes for the years 2013 through 2017, respectively. This represents an average of 5,634 earthquakes per year, which is comparable to the yearly number of earthquakes AVO located in the previous decade when AVO monitored a similar number of volcanoes. During the reporting period, there was significant seismic activity at 20 of the 34 volcanoes monitored by a seismograph network (Akutan Peak, Aniakchak Crater, Augustine, Mount Cerberus, Mount Cleveland, Fourpeaked Mountain, Mount Gareloi, Great Sitkin, Ilimana, Kanaga, Korovin, Makushin, Mount Martin, Okmok Caldera, Pavlof, Shishaldin, Mount Spurr, Tanaga, Ugashik-Peulik, and Mount Veniaminof) and two volcanoes without a monitoring network (Mount Recheshnoi and Bogoslof Island). Instrumentation highlights for this period include the establishment of a new subnetwork on Mount Cleveland, an accelerated transition from analog to digital telemetry at most subnetworks, and an increased number of broadband and infrasound sensors throughout the AVO network. The operational highlight was the return of seismic monitoring at Korovin and Ugashik-Peulik Volcanoes following network repairs. This catalog includes hypocenters, magnitudes, and statistics of the earthquakes located in 2013–17, along with the associated station parameters, and velocity models.</div>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1115","usgsCitation":"Dixon, J.P., Stihler S.D., Haney, M.M., Lyons, J.J., Ketner, D.M., Mulliken, K.M., Parker, T., and Power, J.A., 2019, Catalog of earthquake parameters and description of seismograph and infrasound stations at Alaskan volcanoes—January 1, 2013, through December 31, 2017: U.S. Geological Survey Data Series 1115, 92 p., https://doi.org/10.3133/ds1115.","productDescription":"Report: xi, 92 p.; Datasets; Metadata; Read Me","numberOfPages":"92","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-099710","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science 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href=\"mailto:tlmurray@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:tlmurray@usgs.gov\">Director</a>,<br><a href=\"https://volcanoes.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/\">Volcano Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Instrumentation</li><li>Data Acquisition and Processing</li><li>Seismic-Velocity Models</li><li>Seismicity</li><li>Summary</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Dixon, James P. 0000-0002-8478-9971 jpdixon@usgs.gov","orcid":"https://orcid.org/0000-0002-8478-9971","contributorId":3163,"corporation":false,"usgs":true,"family":"Dixon","given":"James","email":"jpdixon@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stihler, Scott D. 0000-0002-3585-7050","orcid":"https://orcid.org/0000-0002-3585-7050","contributorId":215242,"corporation":false,"usgs":false,"family":"Stihler","given":"Scott","email":"","middleInitial":"D.","affiliations":[{"id":39214,"text":"Alaska Volcano Observatory, UAFGI.","active":true,"usgs":false}],"preferred":false,"id":767562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":767563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":767564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ketner, Dane M. 0000-0002-1610-0773","orcid":"https://orcid.org/0000-0002-1610-0773","contributorId":217809,"corporation":false,"usgs":true,"family":"Ketner","given":"Dane","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mulliken, Katherine M. 0000-0003-4190-5060","orcid":"https://orcid.org/0000-0003-4190-5060","contributorId":217810,"corporation":false,"usgs":false,"family":"Mulliken","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":767566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parker, Thomas 0000-0002-3006-5652 tparker@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-5652","contributorId":215241,"corporation":false,"usgs":true,"family":"Parker","given":"Thomas","email":"tparker@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":767568,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767567,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70204870,"text":"70204870 - 2019 - A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent","interactions":[],"lastModifiedDate":"2019-08-26T09:30:13","indexId":"70204870","displayToPublicDate":"2019-08-21T09:33:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent","docAbstract":"Harmful algal blooms (HABs) have been increasing in intensity across many waterbodies worldwide, including the western basin of Lake Erie. Substantial efforts have been made to track these blooms using in situ sampling and remote sensing. However, such measurements do not fully capture HAB spatial and temporal dynamics due to the limitations of discrete shipboard sampling over large areas and the effects of clouds and winds on remote sensing estimates. To address these limitations, we develop a space-time geostatistical modeling framework to improve estimates of HAB timing, extent, and intensity using five independent sets of chlorophyll a (chl-a) data sampled from June to October, 2008 to 2017. Based on the Bayesian information criterion for model selection, trend variables explain bloom northerly and easterly expansion from Maumee Bay, wind effects over depth, and variability among sampling methods. Cross validation results indicate the model can estimate daily, location-specific chl-a concentrations with reasonable accuracy (R2 = 55%) between monitoring cruises. Conditional simulations provide probabilistic estimates of algal biomass and surface areal extent, which are compared to remote sensing estimates. The simulations also provide, for the first time, comprehensive estimates of overall bloom biomass based on depth-integrated concentrations, with quantified uncertainties. These estimates enhance our understanding of HAB variability and can inform HAB monitoring network design, predictive modeling, and management.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.133776","usgsCitation":"Fang, S., Giudice, D.D., Scavia, D., Binding, C.E., Bridgeman, T.B., Chaffin, J.D., Evans, M.A., Guinness, J., Johengen, T.H., and Obenour, D.R., 2019, A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent: Science of the Total Environment, v. 695, 133776, 12 p., https://doi.org/10.1016/j.scitotenv.2019.133776.","productDescription":"133776, 12 p.","ipdsId":"IP-107890","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467354,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.133776","text":"Publisher Index Page"},{"id":366776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.638916015625,\n              41.393294288784865\n            ],\n            [\n              -78.717041015625,\n              41.393294288784865\n            ],\n            [\n              -78.717041015625,\n              42.94033923363181\n            ],\n            [\n              -83.638916015625,\n              42.94033923363181\n            ],\n            [\n              -83.638916015625,\n              41.393294288784865\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"695","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fang, Shiqi","contributorId":218250,"corporation":false,"usgs":false,"family":"Fang","given":"Shiqi","email":"","affiliations":[{"id":39784,"text":"Department of Civil, Construction, & Environmental Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":768817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Giudice, Dario Del","contributorId":218251,"corporation":false,"usgs":false,"family":"Giudice","given":"Dario","email":"","middleInitial":"Del","affiliations":[{"id":39784,"text":"Department of Civil, Construction, & Environmental Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":768818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scavia, Donald","contributorId":200340,"corporation":false,"usgs":false,"family":"Scavia","given":"Donald","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":768819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Binding, Caren E.","contributorId":218252,"corporation":false,"usgs":false,"family":"Binding","given":"Caren","email":"","middleInitial":"E.","affiliations":[{"id":39785,"text":"Water Science and Technology Directorate, Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":768820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bridgeman, Thomas B.","contributorId":218253,"corporation":false,"usgs":false,"family":"Bridgeman","given":"Thomas","email":"","middleInitial":"B.","affiliations":[{"id":39786,"text":"Department of Environmental Sciences and Lake Erie Center, University of Toledo","active":true,"usgs":false}],"preferred":false,"id":768821,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chaffin, Justin D.","contributorId":173037,"corporation":false,"usgs":false,"family":"Chaffin","given":"Justin","email":"","middleInitial":"D.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":768822,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":768816,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guinness, Joseph","contributorId":218254,"corporation":false,"usgs":false,"family":"Guinness","given":"Joseph","email":"","affiliations":[{"id":39787,"text":"Department of Statistical Science, Cornell University","active":true,"usgs":false}],"preferred":false,"id":768823,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johengen, Thomas H.","contributorId":218255,"corporation":false,"usgs":false,"family":"Johengen","given":"Thomas","email":"","middleInitial":"H.","affiliations":[{"id":39788,"text":"Cooperative Institute for Great Lakes Research, University of Michigan","active":true,"usgs":false}],"preferred":false,"id":768824,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Obenour, Daniel R","contributorId":218256,"corporation":false,"usgs":false,"family":"Obenour","given":"Daniel","email":"","middleInitial":"R","affiliations":[{"id":39784,"text":"Department of Civil, Construction, & Environmental Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":768825,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70204872,"text":"70204872 - 2019 - Shifting diets of Lake Trout in northeastern Lake Michigan","interactions":[],"lastModifiedDate":"2019-08-23T10:41:16","indexId":"70204872","displayToPublicDate":"2019-08-21T09:28:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Shifting diets of Lake Trout in northeastern Lake Michigan","docAbstract":"<p><span>Prey fish communities in Lake Michigan have been steadily changing, characterized by declines in both the quantity and quality of Alewife&nbsp;</span><i>Alosa pseudoharengus</i><span>. To evaluate concurrent changes in the diet of Lake Trout&nbsp;</span><i>Salvelinus namaycush</i><span>&nbsp;in northeastern Lake Michigan, we analyzed stomach contents of Lake Trout caught during gill‐net surveys and fishing tournaments from May through October 2016. We then compared the composition, on a wet‐weight basis, of 2016 diets with those previously described in a recent survey conducted in 2011. Overall, we found that Lake Trout diets in 2016 consisted mostly (94% by wet weight) of Alewives and Round Goby&nbsp;</span><i>Neogobius melanostomus</i><span>. Averaging across May through October, 61% of the Lake Trout diet consisted of Alewives. A clear seasonal shift was apparent: the diet was dominated by Round Goby (67%) during May–June, whereas Alewives dominated the diet (76%) during July–October. Seasonal dominance of Round Goby in spring Lake Trout diets has not been previously observed in northeastern Lake Michigan as Round Goby represented only 21% of the Lake Trout diet in spring of 2011. Diet composition of Lake Trout caught in gill nets did not significantly differ from diet composition of Lake Trout caught by anglers in either the May–June period or the July–October period. Although Lake Trout showed increased diet flexibility in 2016 compared with 2011, Alewives were still the predominant diet component during 2016, despite reduced Alewife biomass throughout Lake Michigan. Nonetheless, this further evidence of diet plasticity suggests that Lake Trout may be resilient to ongoing and future forage base changes.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10318","usgsCitation":"Luo, M.K., Madenjian, C.P., Diana, J.S., Kornis, M.S., and Bronte, C.R., 2019, Shifting diets of Lake Trout in northeastern Lake Michigan: North American Journal of Fisheries Management, v. 39, no. 4, p. 793-806, https://doi.org/10.1002/nafm.10318.","productDescription":"14 p.","startPage":"793","endPage":"806","ipdsId":"IP-105241","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467355,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2027.42/151367","text":"External Repository"},{"id":366775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.29711914062499,\n              41.582579601430346\n            ],\n            [\n              -84.74853515625,\n              41.582579601430346\n            ],\n            [\n              -84.74853515625,\n              46.20264638061019\n            ],\n            [\n              -88.29711914062499,\n              46.20264638061019\n            ],\n            [\n              -88.29711914062499,\n              41.582579601430346\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Luo, Miles K.","contributorId":218263,"corporation":false,"usgs":false,"family":"Luo","given":"Miles","email":"","middleInitial":"K.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":768833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":768832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diana, James S.","contributorId":216547,"corporation":false,"usgs":false,"family":"Diana","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":768834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kornis, Matthew S.","contributorId":201252,"corporation":false,"usgs":false,"family":"Kornis","given":"Matthew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":768835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bronte, Charles R.","contributorId":190727,"corporation":false,"usgs":false,"family":"Bronte","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":768836,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203824,"text":"ofr20191072 - 2019 - Offshore shallow structure and sediment distribution, Punta Gorda to Point Arena, Northern California","interactions":[],"lastModifiedDate":"2019-08-21T14:16:36","indexId":"ofr20191072","displayToPublicDate":"2019-08-21T09:26:55","publicationYear":"2019","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":"2019-1072","displayTitle":"Offshore Shallow Structure and Sediment Distribution, Punta Gorda to Point Arena, Northern California","title":"Offshore shallow structure and sediment distribution, Punta Gorda to Point Arena, Northern California","docAbstract":"<p>This publication consists of two map sheets that display shallow geologic structure, along with sediment distribution and thickness, for an approximately 150-km-long offshore section of the northern California coast between Punta Gorda and Point Arena. Each map sheet includes three maps at scales of either 1:100,000 or 1:200,000, and together the sheets include 30 figures that contain representative high-resolution seismic-reflection profiles. The maps and seismic-reflection surveys cover most of the continental shelf in this region. In addition, the maps show the locations of the shelf break and the 3-nautical-mile limit of California’s State Waters.</p><p>The seismic-reflection data, which are the primary dataset used to develop the maps, were collected to support the California Seafloor Mapping Program, U.S. Geological Survey Offshore Geologic Hazards projects, and National Oceanic and Atmospheric Administration’s (NOAA’s) Ocean Explorer program. In addition to the two map sheets, this publication includes geographic information system data files of faults, sediment thicknesses, and depths-to-base of sediment</p><p>The map area includes the northernmost section of the right-lateral San Andreas Fault, which extends offshore from Point Arena in the south to Point Delgada in the north. The San Andreas Fault is the primary structure in the widely distributed plate boundary between the Pacific Plate and the Sierra Nevada–Great Valley Microplate, with estimates of cumulative right slip <span>of as much as</span> up to 450 km. South of Point Delgada, fault-related transtension has resulted in development of the Noyo Basin. North of Point Delgada, the San Andreas Fault transitions into a complex contractional zone in and (or) south of the King Range, including a possible nearshore fault that may connect with the Mattole Canyon Fault.</p><p>Quaternary sediments and bedrock underlie the shelf. On the seismic-reflection profiles, we digitally traced the thickness and depth of the uppermost seismic-stratigraphic unit, which is a focus of this publication. The upper contact of this unit is the seafloor; the lower contact is a transgressive surface of erosion, a commonly angular, wave-cut unconformity characterized by an upward change to lower amplitude, more diffuse reflections. On the basis of this lower contact, this stratigraphic unit is inferred to have been deposited on the shelf in the last about 21,000 years during the sea-level rise that followed the last major lowstand and the Last Glacial Maximum (LGM). Maps in this publication show both the thickness of this upper sediment unit and the depth to the base of the sediment unit. Within the map region, five different “domains” of post-LGM shelf sediment are delineated on the basis of sediment thickness and coastal geomorphology. Maximum sediment thickness (as much as 67 m) is found in the northern part of the region, along the steep south flank of the King Range. Minimum sediment thickness (areas of exposed bedrock) is found on fault-bounded uplifts, which include Tolo bank and Punta Gorda bank. Mean sediment thickness for the entire shelf in the map area between Punta Gorda and Point Arena is 8.9 m, and total sediment volume is 12,824×10<sup>6</sup> m<sup>3</sup>.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191072","usgsCitation":"Beeson, J.W., and Johnson, S.Y., 2019, Offshore shallow structure and sediment distribution, Punta Gorda to Point Arena, northern California: U.S. Geological Survey Open-File Report 2019–1072, 2 sheets, scales 1:100,000 and 1:200,000, https://doi.org/10.3133/ofr20191072.\n","productDescription":"2 Sheets: 65 x 37 inches and 85 x 38 inches; Metadata; Data Release","onlineOnly":"Y","ipdsId":"IP-101053","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":437363,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PNNI9H","text":"USGS data release","linkHelpText":"California State Waters Map Series Data Catalog--Punta Gorda to Point Arena"},{"id":366611,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20181158","text":"Open-File Report 2018-1158","linkHelpText":" - Offshore Shallow Structure and Sediment Distribution, Point Sur to Point Arguello, Central California, by Sam Y. Johnson and others."},{"id":366613,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/P9PNNI9H","linkHelpText":"The GIS data layers for this map are accessible from “Offshore Shallow Structure and Sediment Distribution, Point Sur to Point Arguello, Central California” which is part of California State Waters Map Series Data Catalog. Each GIS data file is listed with a brief description, a small image, and links to the metadata files and the downloadable data files."},{"id":366612,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/of/2015/1098/","text":"Open-File Report 2015-1098","linkHelpText":" - California State Waters Map Series—Offshore of Salt Point, California, by Sam Y. Johnson and others."},{"id":366606,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1072/ofr20191072_sheet1.pdf","text":"Sheet 1 of 2","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1072 Sheet 1 of 2"},{"id":366605,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1072/coverthb.jpg"},{"id":366607,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1072/ofr20191072_sheet2.pdf","text":"Sheet 2 of 2","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1072 Sheet 2 of 2"},{"id":366608,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2019/1072/ofr20191072_metadata.html","text":"Metadata","size":"5 KB","linkFileType":{"id":5,"text":"html"},"description":"OFR 2019-1072 Metadata"},{"id":366610,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/781/","text":"Data Series 781","linkHelpText":" - California State Waters Map Series Data Catalog"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.969482421875,\n              39.88866516883713\n            ],\n            [\n              -122.50305175781249,\n              39.88866516883713\n            ],\n            [\n              -122.50305175781249,\n              41.99624282178583\n            ],\n            [\n              -124.969482421875,\n              41.99624282178583\n            ],\n            [\n              -124.969482421875,\n              39.88866516883713\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"http://walrus.wr.usgs.gov/infobank/programs/html/staff2html/staff.html\">Contact Information</a><br><a href=\"https://walrus.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://walrus.wr.usgs.gov/\">Pacific Coastal &amp; Marine Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Pacific Science Center<br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Beeson, Jeffrey W. 0000-0002-7396-237X","orcid":"https://orcid.org/0000-0002-7396-237X","contributorId":194964,"corporation":false,"usgs":false,"family":"Beeson","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":764288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Samuel Y. 0000-0001-7972-9977","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":216241,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204135,"text":"ofr20191078 - 2019 - Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2017","interactions":[],"lastModifiedDate":"2019-08-21T11:44:16","indexId":"ofr20191078","displayToPublicDate":"2019-08-21T08:11:59","publicationYear":"2019","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":"2019-1078","displayTitle":"Continuous Stream Discharge, Salinity, and Associated Data Collected in the Lower St. Johns River and Its Tributaries, Florida, 2017","title":"Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2017","docAbstract":"<p>The U.S. Army Corps of Engineers, Jacksonville District, plans to deepen the St. Johns River channel in Jacksonville, Florida, from 40 to 47 feet along 13 miles of the river channel, beginning at the mouth of the river at the Atlantic Ocean, to accommodate larger, fully loaded cargo vessels. The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, (1) installed continuous data collection stations to monitor discharge, salinity, and associated parameters at 23 sites prior to the commencement of dredging and (2) monitored stage and discharge at 13 sites and water temperature, specific conductance, and salinity at 16 sites; all parameters were monitored at some sites.</p><p>This is the second annual report by the U.S. Geological Survey on data collection for the Jacksonville Harbor deepening and contains information pertinent to the data collection sites during the 2017 water year, from October 2016 to September 2017. One data collection site on the St. Johns River below Shands Bridge was added to the network during this timeframe after the previously monitored location was damaged by Hurricane Matthew.</p><p>Discharge and salinity varied widely during the data collection period, reflecting the effects of Hurricane Matthew in October 2016 and Hurricane Irma in September 2017. The annual mean discharge at Trout River was greatest among the tributaries, followed by annual mean discharges at Durbin Creek, Ortega River, Julington Creek, Pottsburg Creek, Clapboard Creek, Cedar River, Broward River, and Dunn Creek. Among the tributary sites, annual mean salinity was highest at the site closest to the Atlantic Ocean, Clapboard Creek, and lowest at the site farthest from the ocean, Durbin Creek. Annual mean salinity data from the main-stem sites on the St. Johns River indicate that salinity decreased with distance upstream from the ocean, which is expected. Relative to salinity for the 2016 water year, annual mean salinity in the tributaries was higher for the 2017 water year at four monitoring locations, lower at four monitoring locations, and the same at one location. Of the three sites where salinity was calculated on the main stem in the 2016 water year, salinity was higher at one monitoring location in the 2017 water year and lower at two locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191078","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Ryan, P.J., 2019, Continuous stream discharge, salinity, and associated data collected in the lower St. Johns River and its tributaries, Florida, 2017: U.S. Geological Survey Open-File Report 2019–1078, 35 p., https://doi.org/10.3133/ofr20191078.","productDescription":"viii, 35 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-106628","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":366770,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1078/ofr20191078.pdf","text":"Report","size":"11.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1078"},{"id":366769,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1078/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lower St Johns River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.1502685546875,\n              29.156958511360703\n            ],\n            [\n              -81.2109375,\n              29.156958511360703\n            ],\n            [\n              -81.2109375,\n              30.500750980290693\n            ],\n            [\n              -82.1502685546875,\n              30.500750980290693\n            ],\n            [\n              -82.1502685546875,\n              29.156958511360703\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\" href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\">Caribbean-Florida Water Science Center</a> <br>U.S. Geological Survey <br>4446 Pet Lane, Suite 108 <br>Lutz, FL 33559</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Patrick J. 0000-0002-1490-4938 pryan@usgs.gov","orcid":"https://orcid.org/0000-0002-1490-4938","contributorId":203974,"corporation":false,"usgs":true,"family":"Ryan","given":"Patrick","email":"pryan@usgs.gov","middleInitial":"J.","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765668,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70259571,"text":"70259571 - 2019 - Characterization of the rhyolite of Bodie Hills and 40Ar/39Ar intercalibration with Ar mineral standards","interactions":[],"lastModifiedDate":"2024-10-15T11:18:08.957834","indexId":"70259571","displayToPublicDate":"2019-08-21T06:16:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the rhyolite of Bodie Hills and 40Ar/39Ar intercalibration with Ar mineral standards","docAbstract":"<div id=\"sp0110\" class=\"u-margin-s-bottom\"><span>The&nbsp;rhyolite&nbsp;of Bodie Hills (California) is characterized compositionally and the&nbsp;geochronology&nbsp;of selected phases is studied.&nbsp;Sanidine&nbsp;(BHs) from the&nbsp;rhyolite&nbsp;is well suited as a&nbsp;</span><sup>40</sup>Ar/<sup>39</sup><span>Ar reference material with high K/Ca and radiogenic yield.&nbsp;Intercalibration&nbsp;with GA1550&nbsp;biotite&nbsp;from the Dromedary igneous complex (New South Wales, Australia) yields an age of 9.7946 ± 0.0031 Ma for BHs relative to an age of 98.79 ± 0.54 Ma for GA1550 and a calibration factor (</span><i>R</i><sub>BHs/GA1550</sub>) of 0.096719 ± 0.000032. BHs is also intercalibrated with sanidines of the Taylor Creek Rhyolite (TCs;<span>&nbsp;</span><i>R</i><sub>TCs/BHs</sub><span>&nbsp;</span>of 2.90874 ± 0.00067), Fish Canyon Tuff (FCs;<span>&nbsp;</span><i>R</i><sub>FCs/BHs</sub><span>&nbsp;</span>of 2.88339 ± 0.00088), and rhyolite of Alder Creek (ACs;<span>&nbsp;</span><i>R</i><sub>ACs/BHs</sub><span>&nbsp;</span>of 0.12028 ± 0.00024). These calibration factors yield ages of 28.344 ± 0.011 Ma, 28.099 ± 0.013 Ma, and 1.1809 ± 0.0024 Ma for TCs, FCs, and ACs, respectively, relative to GA1550. Full propagation of errors increases these uncertainties and that of BHs to ±0.9% of their ages. Calibration of BHs using the astronomically tuned age of FCs determined by Kuiper et al. (2008) yields an age of 9.8295 ± 0.0036 Ma. Stepwise heating of BHs reveals the same small, progressive increase in age across the age spectrum reported for FCs, ACs, and other potassium feldspars (e.g., Foland and Xu, 1990; Phillips et al., 2017). This increase is consistent with mass fractionation of argon during step heating and favors use of single-step fusion ages of all sanidines for monitor and calibration purposes.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2019.07.022","usgsCitation":"Fleck, R.J., Calvert, A.T., Coble, M., Wooden, J.L., Hodges, K.V., Hayden, L., van Soest, M.C., du Bray, E.A., and John, D.A., 2019, Characterization of the rhyolite of Bodie Hills and 40Ar/39Ar intercalibration with Ar mineral standards: Chemical Geology, v. 525, p. 282-302, https://doi.org/10.1016/j.chemgeo.2019.07.022.","productDescription":"21 p.","startPage":"282","endPage":"302","ipdsId":"IP-102583","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":462865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"525","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":915766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coble, Matthew 0000-0002-7536-0559","orcid":"https://orcid.org/0000-0002-7536-0559","contributorId":270794,"corporation":false,"usgs":false,"family":"Coble","given":"Matthew","email":"","affiliations":[{"id":56217,"text":"Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":915768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wooden, Joseph L.","contributorId":193587,"corporation":false,"usgs":false,"family":"Wooden","given":"Joseph","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":915769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hodges, Kip V. 0000-0003-2805-8899","orcid":"https://orcid.org/0000-0003-2805-8899","contributorId":229558,"corporation":false,"usgs":false,"family":"Hodges","given":"Kip","email":"","middleInitial":"V.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":915770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayden, Leslie A.","contributorId":345134,"corporation":false,"usgs":false,"family":"Hayden","given":"Leslie A.","affiliations":[],"preferred":false,"id":915771,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van Soest, Matthijs C. 0000-0003-1161-0114","orcid":"https://orcid.org/0000-0003-1161-0114","contributorId":345137,"corporation":false,"usgs":false,"family":"van Soest","given":"Matthijs","email":"","middleInitial":"C.","affiliations":[{"id":34032,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287","active":true,"usgs":false}],"preferred":false,"id":915772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"du Bray, Edward A. 0000-0002-4383-8394 edubray@usgs.gov","orcid":"https://orcid.org/0000-0002-4383-8394","contributorId":755,"corporation":false,"usgs":true,"family":"du Bray","given":"Edward","email":"edubray@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":915773,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":915774,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70204768,"text":"fs20193041 - 2019 - The U.S. Geological Survey Southwest Biological Science Center—Sound science to serve the American Southwest","interactions":[],"lastModifiedDate":"2019-08-23T10:48:39","indexId":"fs20193041","displayToPublicDate":"2019-08-20T15:36:45","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3041","displayTitle":"The U.S. Geological Survey Southwest Biological Science Center—Sound Science to Serve the American Southwest","title":"The U.S. Geological Survey Southwest Biological Science Center—Sound science to serve the American Southwest","docAbstract":"<p>Home to Arches, Grand Canyon, and Saguaro National Parks, among others, the American Southwest’s landscapes are as fragile as they are iconic. Energy development, water security, and grassland restoration are important to the region as it experiences population growth and increased demand for resources. The U.S. Geological Survey’s Southwest Biological Science Center provides sound scientific information to help identify effective management strategies for the Southwest’s abundant natural resources and vast public lands. Research is focused on two key areas—dryland ecology and river science.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193041","usgsCitation":"Southwest Biological Science Center staff, 2019, The U.S. Geological Survey Southwest Biological Science Center—Sound science to serve the American Southwest: U.S. Geological Survey Fact Sheet 2019–3041, 4 p., https://doi.org/10.3133/fs20193041.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-110036","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":366772,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3041/fs20193041.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2019-3041"},{"id":366771,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3041/coverthb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","otherGeospatial":"American Southwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.0478515625,\n              31.50362930577303\n            ],\n            [\n              -109.248046875,\n              31.50362930577303\n            ],\n            [\n              -109.248046875,\n              38.324420427006544\n            ],\n            [\n              -119.0478515625,\n              38.324420427006544\n            ],\n            [\n              -119.0478515625,\n              31.50362930577303\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"https://www.usgs.gov/centers/sbsc/connect\" href=\"https://www.usgs.gov/centers/sbsc/connect\" target=\"_blank\" rel=\"noopener\">Director</a>,&nbsp;<br><a href=\"https://www.usgs.gov/centers/sbsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/sbsc\">Southwest Biological Science Center</a><br><a href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>2255 N. Gemini Drive<br>Flagstaff, AZ 86001<br>United States</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-20","noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Biological Science Center Staff, Southwest","contributorId":218257,"corporation":false,"usgs":true,"family":"Biological Science Center Staff","given":"Southwest","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":768392,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203792,"text":"ofr20191064 - 2019 - Molecular identification of fecal contamination in the Elks Run Watershed, Jefferson County, West Virginia, 2016–17","interactions":[],"lastModifiedDate":"2024-03-04T19:35:54.980435","indexId":"ofr20191064","displayToPublicDate":"2019-08-20T15:30:00","publicationYear":"2019","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":"2019-1064","displayTitle":"Molecular Identification of Fecal Contamination in the Elks Run Watershed, Jefferson County, West Virginia, 2016–17","title":"Molecular identification of fecal contamination in the Elks Run Watershed, Jefferson County, West Virginia, 2016–17","docAbstract":"<p>The U.S. Geological Survey conducted a study using modern methods of molecular analysis aimed at attempting to identify the source(s) of fecal contamination that had been identified in previous studies conducted by the West Virginia Conservation Agency in the Elk Run watershed, Jefferson County, West Virginia. Water samples from multiple sites showing elevated fecal coliform counts were analyzed using molecular markers associated with general mammalian fecal contamination (AllBac), human <i>Bacteroides</i> (HF183), bovine <i>Bacteroides</i> (BoBac), and human polyomavirus (HPyV). Samples were also analyzed by quantitative polymerase chain reaction (qPCR) for human and bovine cytochrome b (mitochondrial DNA marker). A headwater site (Elk Branch at Shenandoah Junction) was found to be severely affected by both human and bovine contamination in May 2017. Although many of the molecular marker levels as well as <i>Escherichia coli</i> numbers had declined by a repeat sampling in June 2017, total coliform bacterial numbers remained high. Examination of the data indicated that this site had probably been affected by two separate contamination events, an influx of bovine contamination close to the time of the May sampling and a human contamination event that had occurred earlier. Samples from all sites contained bovine mitochondrial DNA, whereas only one revealed relatively high levels of human mitochondrial DNA. The Elk Run watershed appears to be widely affected by bovine influences with human influence episodically playing a role. Surface runoff caused by rain events exacerbates both.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191064","usgsCitation":"Schill, W.B., and Iwanowicz, D.D., 2019, Molecular identification of fecal contamination in the Elks Run watershed, Jefferson County, West Virginia, 2016–17: U.S. Geological Survey Open-File Report 2019–1064, 9 p., https://doi.org/10.3133/ofr20191064.","productDescription":"9 p.","onlineOnly":"Y","ipdsId":"IP-092227","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":366675,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1064/ofr20191064.pdf","text":"Report","size":"6.53 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1064"},{"id":366674,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1064/coverthb.jpg"}],"country":"United States","state":"West Virginia","county":"Jefferson County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.7197,39.3253],[-77.7273,39.3199],[-77.734,39.315],[-77.735,39.3133],[-77.7353,39.3129],[-77.7371,39.3101],[-77.7402,39.3052],[-77.7446,39.3003],[-77.7471,39.2963],[-77.7496,39.2909],[-77.7527,39.2864],[-77.7546,39.2824],[-77.7559,39.2765],[-77.7573,39.2719],[-77.7598,39.2674],[-77.7629,39.2639],[-77.7636,39.2632],[-77.7658,39.2612],[-77.7681,39.2589],[-77.7694,39.2576],[-77.7707,39.2554],[-77.771,39.2545],[-77.7713,39.2531],[-77.7709,39.2486],[-77.7703,39.2459],[-77.771,39.2418],[-77.7713,39.2404],[-77.772,39.2387],[-77.7736,39.2364],[-77.7747,39.235],[-77.7755,39.2342],[-77.7776,39.2324],[-77.781,39.2292],[-77.782,39.2283],[-77.7851,39.2248],[-77.7888,39.2194],[-77.7917,39.2127],[-77.7919,39.2122],[-77.7956,39.2045],[-77.7982,39.1974],[-77.7995,39.1923],[-77.8009,39.1875],[-77.8028,39.183],[-77.8036,39.178],[-77.8053,39.1743],[-77.8074,39.1708],[-77.8104,39.1682],[-77.8135,39.1641],[-77.816,39.1605],[-77.8178,39.1574],[-77.8198,39.1516],[-77.8207,39.1492],[-77.8213,39.1468],[-77.8222,39.1429],[-77.8227,39.1409],[-77.8239,39.1371],[-77.8262,39.1353],[-77.8299,39.1343],[-77.8643,39.1567],[-77.9534,39.2147],[-77.995,39.2414],[-78.0315,39.2644],[-78.0349,39.2669],[-78.0332,39.2698],[-78.0284,39.2724],[-78.0266,39.2733],[-78.03,39.2766],[-78.0324,39.2784],[-78.0323,39.2798],[-78.0323,39.2807],[-78.0293,39.2811],[-78.0281,39.2811],[-78.0263,39.2815],[-78.0257,39.2824],[-78.0251,39.2837],[-78.025,39.2855],[-78.025,39.2874],[-78.0256,39.2887],[-78.0249,39.2901],[-78.0219,39.2914],[-78.0213,39.2914],[-78.0201,39.2918],[-78.0177,39.294],[-78.0134,39.299],[-78.0073,39.3057],[-78.0018,39.3106],[-77.9964,39.3127],[-77.9909,39.3181],[-77.9878,39.3208],[-77.9895,39.3249],[-77.9912,39.3267],[-77.9912,39.3276],[-77.9906,39.3285],[-77.9888,39.3285],[-77.9876,39.3289],[-77.9869,39.3307],[-77.9863,39.3321],[-77.9857,39.3339],[-77.9838,39.3352],[-77.9832,39.3357],[-77.9753,39.3437],[-77.9811,39.3492],[-77.981,39.3501],[-77.9792,39.3515],[-77.9751,39.3509],[-77.9704,39.3486],[-77.9674,39.3472],[-77.965,39.3503],[-77.9649,39.3539],[-77.9666,39.3567],[-77.9671,39.3585],[-77.9629,39.3607],[-77.9611,39.362],[-77.9616,39.3639],[-77.9651,39.3671],[-77.9657,39.368],[-77.9639,39.3689],[-77.9579,39.3683],[-77.9555,39.3701],[-77.9506,39.3741],[-77.9476,39.3745],[-77.9441,39.374],[-77.9435,39.374],[-77.9429,39.374],[-77.9423,39.3744],[-77.9422,39.3753],[-77.9428,39.3758],[-77.9475,39.3781],[-77.9474,39.3804],[-77.9445,39.3813],[-77.9325,39.3824],[-77.9307,39.3833],[-77.8613,39.4365],[-77.8563,39.4428],[-77.8496,39.4472],[-77.8465,39.4517],[-77.8464,39.4544],[-77.8445,39.4598],[-77.8402,39.4625],[-77.8407,39.4666],[-77.8394,39.4693],[-77.8381,39.4747],[-77.8326,39.48],[-77.8324,39.4841],[-77.8243,39.4958],[-77.819,39.4956],[-77.8182,39.4954],[-77.8142,39.4944],[-77.8109,39.4932],[-77.8066,39.4918],[-77.8025,39.4903],[-77.8019,39.4902],[-77.7995,39.4901],[-77.796,39.491],[-77.793,39.4928],[-77.7919,39.4934],[-77.7901,39.4953],[-77.7886,39.4961],[-77.7841,39.4992],[-77.7829,39.4996],[-77.7795,39.5006],[-77.7757,39.501],[-77.7711,39.5006],[-77.7687,39.5002],[-77.7676,39.4997],[-77.7658,39.4983],[-77.7651,39.4966],[-77.7656,39.4951],[-77.7667,39.4937],[-77.7677,39.4927],[-77.7703,39.4915],[-77.7738,39.4899],[-77.7763,39.4886],[-77.7793,39.4878],[-77.784,39.486],[-77.7858,39.4856],[-77.79,39.4846],[-77.7943,39.483],[-77.7968,39.4812],[-77.7977,39.4802],[-77.7984,39.4788],[-77.7978,39.4772],[-77.7974,39.4767],[-77.7953,39.4747],[-77.7934,39.4731],[-77.7864,39.4697],[-77.7834,39.4683],[-77.781,39.467],[-77.7792,39.4656],[-77.7788,39.465],[-77.778,39.4634],[-77.778,39.4625],[-77.7803,39.4616],[-77.7821,39.4615],[-77.7848,39.4615],[-77.7875,39.4616],[-77.7899,39.4621],[-77.7932,39.4625],[-77.7947,39.4627],[-77.7954,39.4626],[-77.796,39.4625],[-77.797,39.4615],[-77.7978,39.4607],[-77.7976,39.4597],[-77.7965,39.4574],[-77.7946,39.4561],[-77.7922,39.4535],[-77.7869,39.4511],[-77.7858,39.4493],[-77.7845,39.4484],[-77.7845,39.4475],[-77.7841,39.4464],[-77.7841,39.4457],[-77.7847,39.4449],[-77.7874,39.4434],[-77.7884,39.443],[-77.7916,39.4429],[-77.794,39.4429],[-77.7949,39.443],[-77.7967,39.4429],[-77.7987,39.4424],[-77.8004,39.442],[-77.8011,39.4411],[-77.8015,39.4405],[-77.801,39.4391],[-77.7999,39.4375],[-77.7981,39.4357],[-77.7952,39.4345],[-77.7923,39.4331],[-77.7863,39.4321],[-77.7749,39.4303],[-77.7713,39.4298],[-77.7677,39.4298],[-77.7649,39.4299],[-77.7614,39.4289],[-77.7584,39.4285],[-77.756,39.4277],[-77.754,39.4258],[-77.753,39.425],[-77.7516,39.424],[-77.7513,39.4234],[-77.7503,39.4219],[-77.7492,39.4191],[-77.7486,39.417],[-77.7438,39.4109],[-77.7395,39.404],[-77.7372,39.3977],[-77.736,39.3937],[-77.7358,39.3925],[-77.7352,39.3909],[-77.7354,39.3895],[-77.7356,39.3887],[-77.7359,39.3881],[-77.7371,39.3873],[-77.7384,39.3868],[-77.7408,39.3868],[-77.7431,39.3864],[-77.7461,39.3855],[-77.7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<a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>11649 Leetown Road<br>Kearneysville, WV 25430</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-08-20","noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Schill, W. Bane 0000-0002-9217-984X","orcid":"https://orcid.org/0000-0002-9217-984X","contributorId":213903,"corporation":false,"usgs":true,"family":"Schill","given":"W. Bane","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":764147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":216201,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":764148,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204609,"text":"ofr20191087 - 2019 - Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and metals in ambient sediment at mussel biomonitoring sites, Puget Sound, Washington","interactions":[],"lastModifiedDate":"2019-08-21T09:13:55","indexId":"ofr20191087","displayToPublicDate":"2019-08-20T15:08:48","publicationYear":"2019","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":"2019-1087","displayTitle":"Polycyclic Aromatic Hydrocarbons, Polychlorinated Biphenyls, and Metals in Ambient Sediment at Mussel Biomonitoring Sites, Puget Sound, Washington","title":"Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and metals in ambient sediment at mussel biomonitoring sites, Puget Sound, Washington","docAbstract":"<p>Caged mussels used as biomonitors can provide insights about ambient contaminant assemblages and spatial patterns, sources of contaminants, and contaminant exposure risks for consumers of wild and farmed mussels. This study explored the potential role of ambient sediment in the uptake of polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), and potentially toxic inorganic elements by caged mussels and complements findings from a Puget Sound-wide stormwater-contaminant mussel-monitoring survey in Washington State. In summary, ambient sediment appeared to be related to mussel uptake of lead and possibly copper at all sites, PCBs at industrial sites, and PAHs at Liberty Bay, Eagle Harbor, and, to a lesser extent, Smith Cove. These findings indicate that resuspended bed sediment is one, but not the only, pathway that filter-feeding mussels are exposed to contaminants. Overall, PAHs, PCBs, arsenic, and potentially toxic metals were low in intertidal bed sediment at the nine sites measured in Puget Sound in February 2016 and signify a low risk of sediment-bound contaminant exposure to mussels at those locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191087","usgsCitation":"Takesue, R.K., Campbell, P.L., and Conn, K.E., 2019, Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and metals in ambient sediment at mussel biomonitoring sites, Puget Sound, Washington: U.S. Geological Survey Open-File Report 2019–1087, 15 p., https://doi.org/10.3133/ofr20191087.","productDescription":"Report: vi, 15 p.","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-102107","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":366767,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1087/ofr20191087.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2019-1087"},{"id":366766,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1087/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.3759765625,\n              47.03269459852135\n            ],\n            [\n              -121.83837890625,\n              47.03269459852135\n            ],\n            [\n              -121.83837890625,\n              48.98382212608503\n            ],\n            [\n              -125.3759765625,\n              48.98382212608503\n            ],\n            [\n              -125.3759765625,\n              47.03269459852135\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/pcmsc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/pcmsc/connect\">Contact Information</a><br><a href=\"https://walrus.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://walrus.wr.usgs.gov/\">Pacific Coastal &amp; Marine Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Pacific Science Center<br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","tableOfContents":"<ul><li>Abstract</li><li>Background</li><li>Methods</li><li>Results and Discussion</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-20","noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell‐Swarzenski, Pamela L. 0000-0002-2232-6381","orcid":"https://orcid.org/0000-0002-2232-6381","contributorId":210642,"corporation":false,"usgs":true,"family":"Campbell‐Swarzenski","given":"Pamela L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conn, Kathleen E. 0000-0002-2334-6536 kconn@usgs.gov","orcid":"https://orcid.org/0000-0002-2334-6536","contributorId":3923,"corporation":false,"usgs":true,"family":"Conn","given":"Kathleen E.","email":"kconn@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":767757,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204852,"text":"70204852 - 2019 - Optimum electrofishing waveforms and parameters to induce a capture-prone response in juvenile Grass Carp","interactions":[],"lastModifiedDate":"2019-08-20T14:52:55","indexId":"70204852","displayToPublicDate":"2019-08-20T14:52:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Optimum electrofishing waveforms and parameters to induce a capture-prone response in juvenile Grass Carp","docAbstract":"Grass Carp (Ctenopharyngodon idella) are a non-native species to North America that were first introduced for vegetation control in the 1960s.  However, wild-reproducing Grass Carp can negatively impact aquatic habitats and aquatic communities by consuming substantial amounts of aquatic vegetation and increasing turbidity.  Numerous fisheries techniques have been used in an attempt to control or eradicate Grass Carp, including electrofishing.  However, electrofishing efficiency for Grass Carp has been variable, and optimum electrofishing waveforms and parameters for inducing a capture-prone response have not been determined.  The objective of this study was to determine the optimum electrofishing waveforms and parameters to induce a capture-prone response at various water temperatures and conductivities in juvenile Grass Carp in a controlled, laboratory setting.  Results indicated that rectangular pulse waveforms with 60 to 100 Hz frequencies were most effective for immobilization of juvenile Grass Carp.  All duty cycles tested (20 – 48%) at these frequencies were effective; although at 60 Hz and 80 Hz frequencies, 24% and 30% duty cycles, respectively, may be more effective.  Water temperature was positively related to voltage gradient immobilization thresholds whereas ambient water conductivity and fish size were inversely related to voltage gradient immobilization thresholds.  This study provides important information to those seeking to control, eradicate, or detect Grass Carp using electrofishing and provides a framework for future studies focusing on adult Grass Carp.","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10303","usgsCitation":"Briggs, A.S., Dean, J.C., Boase, J., Kocovsky, P., and Luoma, J.A., 2019, Optimum electrofishing waveforms and parameters to induce a capture-prone response in juvenile Grass Carp: North American Journal of Fisheries Management, v. 39, no. 3, p. 705-713, https://doi.org/10.1002/nafm.10303.","productDescription":"9 p.","startPage":"705","endPage":"713","ipdsId":"IP-100909","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437365,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RGYJZ5","text":"USGS data release","linkHelpText":"Envrionmental DNA data for Refinement of eDNA as an early monitoring tool at the landscape-level: Data"},{"id":437364,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CPYOBT","text":"USGS data release","linkHelpText":"Optimum electrofishing waveforms and parameters to induce immobilization of juvenile Grass Carp: Data"},{"id":366751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366672,"type":{"id":15,"text":"Index Page"},"url":"https://www.doi.org/10.1002/nafm.10303"}],"volume":"39","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Andrew S 0000-0002-0268-9310","orcid":"https://orcid.org/0000-0002-0268-9310","contributorId":215596,"corporation":false,"usgs":false,"family":"Briggs","given":"Andrew","email":"","middleInitial":"S","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":768751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dean, Jan C.","contributorId":195579,"corporation":false,"usgs":false,"family":"Dean","given":"Jan","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":768752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boase, James C.","contributorId":38077,"corporation":false,"usgs":false,"family":"Boase","given":"James C.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":768753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kocovsky, Patrick 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":768754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":768750,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204861,"text":"70204861 - 2019 - Spatial distribution of water level impact to back-barrier bays","interactions":[],"lastModifiedDate":"2021-09-17T11:49:09.164716","indexId":"70204861","displayToPublicDate":"2019-08-20T14:48:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial distribution of water level impact to back-barrier bays","docAbstract":"Water level in semi-enclosed bays, landward of barrier islands, is mainly driven by offshore sea level fluctuations that are modulated by bay geometry and bathymetry, causing spatial variability in the ensuing response (transfer). Local wind setup can have a secondary role that depends on wind speed, fetch, and relative orientation of the wind direction and the bay. Inlet geometry and bathymetry primarily regulate the magnitude of the transfer between open ocean and bay. Tides and short-period offshore oscillations are more damped in the bays than longer-lasting offshore fluctuations, such as storm surge and sea level rise. We compare observed and modeled water levels at stations in a mid-Atlantic bay (Barnegat Bay) with offshore water level proxies. Observed water levels in Barnegat Bay are compared and combined with model results from the Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST) modeling system to evaluate the spatial structure of the water level transfer. Analytical models based on the dimensional characteristics of the bay are used to combine the observed data and the numerical model results in a physically consistent approach. Model water level transfers match observed values at locations inside the Bay in the storm frequency band (transfers ranging from 70-100%) and tidal frequencies (10-55%). The contribution of frequency-dependent local setup caused by wind acting along the bay is also considered. The approach provides transfer estimates for locations inside the Bay where observations were not available resulting in a complete spatial characterization. The approach allows for the study of the Bay response to alternative forcing scenarios (landscape changes, future storms, and rising sea level). Detailed spatial estimates of water level transfer can inform decisions on inlet management and contribute to the assessment of current and future flooding hazard in back-barrier bays and along mainland shorelines.","language":"English","publisher":"European Geoscience Union","doi":"10.5194/nhess-19-1823-2019","usgsCitation":"Aretxabaleta, A., Ganju, N., Defne, Z., and Signell, R.P., 2019, Spatial distribution of water level impact to back-barrier bays: Natural Hazards and Earth System Sciences, v. 19, no. 8, p. 1823-1838, https://doi.org/10.5194/nhess-19-1823-2019.","productDescription":"16 p.","startPage":"1823","endPage":"1838","ipdsId":"IP-102040","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467356,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-19-1823-2019","text":"Publisher Index Page"},{"id":366748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"8","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768783,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Signell, Richard P. 0000-0003-0682-9613 rsignell@usgs.gov","orcid":"https://orcid.org/0000-0003-0682-9613","contributorId":140906,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":768784,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204534,"text":"ofr20191085 - 2019 - Monitoring of endangered Klamath Basin suckers translocated from Lake Ewauna to Upper Klamath Lake, Oregon, 2014−2017","interactions":[],"lastModifiedDate":"2019-08-21T09:06:24","indexId":"ofr20191085","displayToPublicDate":"2019-08-20T11:48:53","publicationYear":"2019","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":"2019-1085","displayTitle":"Monitoring of Endangered Klamath Basin Suckers Translocated from Lake Ewauna to Upper Klamath Lake, Oregon, 2014–2017","title":"Monitoring of endangered Klamath Basin suckers translocated from Lake Ewauna to Upper Klamath Lake, Oregon, 2014−2017","docAbstract":"<p class=\"p1\">Data from a 4-year capture and transport program were used to assess translocation as a management strategy for two long-lived, federally endangered catostomids in the Upper Klamath Basin, Oregon. Lost River (<i>Deltistes luxatus</i>) and shortnose (<i>Chasmistes brevirostris</i>) suckers, two species endemic to the Klamath Basin, were translocated from Lake Ewauna to Upper Klamath Lake in each of 4 years (2014–2017) in an effort to augment existing spawning populations in Upper Klamath Lake. Lake Ewauna, downstream of Upper Klamath Lake and connected to it by the Link River, has small populations of Lost River and shortnose suckers. Upper Klamath Lake has the largest remaining population of Lost River suckers and one of the largest remaining populations of shortnose suckers. Adult suckers were captured in Lake Ewauna, tagged with passive integrated transponder (PIT) tags, and translocated to the Williamson River, a spawning tributary that flows into Upper Klamath Lake. We monitored initial success of translocation efforts with encounters from remote PIT tag antennas and physical recaptures.</p><p class=\"p1\">A total of 659 suckers were translocated from Lake Ewauna to the Williamson River (40 in 2014, 384 in 2015, 172 in 2016, and 63 in 2017). All individuals that were translocated were assumed to be one of the endangered taxa, but recaptures indicated that some translocated suckers were misidentified and were instead Klamath largescale suckers (<i>Catostomus snyderi</i>), a non-listed species that is also endemic to the Upper Klamath Basin. Other recaptures of translocated individuals revealed conflicts in species identification between the two endangered taxa as well. Due to species identification conflicts, we analyzed translocated individuals by cohort (year of translocation) and sex only. Specifically, we documented encounters of translocated individuals at spawning locations and throughout the Upper Klamath Lake watershed, analyzed frequency of return to spawning sites, assessed fidelity to spawning sites, and monitored migration timing over three full years (2015, 2016, and 2017). Remote PIT tag antennas at 11 sites and 5 physical capture locations were part of a monitoring network to re-encounter translocated individuals. In contrast to other years of the study, high flows in the Williamson River in 2017 prevented the installation of a river-wide weir and upstream trap with associated PIT-tag antennas that routinely detect large numbers of tagged fish. As a result, re-encounter probabilities in 2017 were expected to be lower than 2015 and 2016.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191085","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Banet, N.V., and Hewitt, D.A., 2019, Monitoring of endangered Klamath Basin suckers translocated from Lake Ewauna to Upper Klamath Lake, Oregon, 2014−2017: U.S. Geological Survey Open-File Report 2019–1085, 40 p., https://doi.org/10.3133/ofr20191085.","productDescription":"v, 39 p.","onlineOnly":"Y","ipdsId":"IP-097743","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":366745,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1085/coverthb.jpg"},{"id":366746,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1085/ofr20191085.pdf","text":"Report","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1085"}],"country":"United States","state":"Oregon","otherGeospatial":"Lake Ewauna, Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.1240234375,\n              42.1613675328748\n            ],\n            [\n              -121.74224853515625,\n              42.1613675328748\n            ],\n            [\n              -121.74224853515625,\n              42.60970621339408\n            ],\n            [\n              -122.1240234375,\n              42.60970621339408\n            ],\n            [\n              -122.1240234375,\n              42.1613675328748\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wfrc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/wfrc\">Western Fisheries Research Center</a><br>U.S. Geological Survey<br>6505 NE 65th Street<br>Seattle, Washington 98115-5016</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-08-20","noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Banet, Nathan V.","contributorId":218249,"corporation":false,"usgs":true,"family":"Banet","given":"Nathan","email":"","middleInitial":"V.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":767433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767434,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204792,"text":"sim3412C - 2019 - Airborne radiometric maps of Mountain Pass, California","interactions":[{"subject":{"id":70204792,"text":"sim3412C - 2019 - Airborne radiometric maps of Mountain Pass, California","indexId":"sim3412C","publicationYear":"2019","noYear":false,"chapter":"C","displayTitle":"Airborne Radiometric Maps of Mountain Pass, California","title":"Airborne radiometric maps of Mountain Pass, California"},"predicate":"IS_PART_OF","object":{"id":70199511,"text":"sim3412 - 2018 - Geophysical and geologic maps of Mountain Pass and vicinity, California and Nevada","indexId":"sim3412","publicationYear":"2018","noYear":false,"title":"Geophysical and geologic maps of Mountain Pass and vicinity, California and Nevada"},"id":1}],"isPartOf":{"id":70199511,"text":"sim3412 - 2018 - Geophysical and geologic maps of Mountain Pass and vicinity, California and Nevada","indexId":"sim3412","publicationYear":"2018","noYear":false,"title":"Geophysical and geologic maps of Mountain Pass and vicinity, California and Nevada"},"lastModifiedDate":"2019-08-20T14:18:17","indexId":"sim3412C","displayToPublicDate":"2019-08-20T11:01:45","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3412","chapter":"C","displayTitle":"Airborne Radiometric Maps of Mountain Pass, California","title":"Airborne radiometric maps of Mountain Pass, California","docAbstract":"<p>Geophysical investigations of Mountain Pass and vicinity were begun as part of an effort to study regional crustal structures as an aid to understanding the geologic framework and mineral resources of the eastern Mojave Desert. The study area encompasses Mountain Pass, host to one of the world’s largest rare earth element carbonatite deposits. The deposit is found along a north-northwest-trending, fault-bounded block that extends along the eastern parts of the Clark Mountain Range, Mescal Range, and Ivanpah Mountains. This Paleoproterozoic block is composed of a 1.7-Ga metamorphic complex of gneiss and schist that underwent widespread metamorphism and associated plutonism during the Ivanpah orogeny. The Paleoproterozoic rocks were intruded by a Mesoproterozoic (1.4 Ga) ultrapotassic alkaline intrusive suite and carbonatite body. The intrusive rocks include, from oldest to youngest, shonkinite, mesosyenite, syenite, quartz syenite, potassic granite, carbonatite, carbonatite dikes, and late shonkinite dikes.</p><p>The diverse physical properties of rocks that underlie the study area are well suited to geophysical investigations. Contrasts in radiogenic signatures between Paleoproterozoic crystalline basement, rocks of the Mesoproterozoic carbonatite body and the associated alkaline intrusive suite, Paleozoic carbonate rocks, Mesozoic granitoids, Tertiary volcanic rocks, and unconsolidated alluvium, for example, produce a distinctive pattern of radiometric anomalies that can aid in understanding the geologic framework and mineral resource potential of the eastern Mojave Desert.</p><p>A high-resolution radiometric survey of Mountain Pass was flown by helicopter over parts of the Clark Mountain Range, Mescal Range, and Ivanpah Mountains. Aeroradiometric surveys measure the intensity and energy spectrum of gamma-ray radiation from the three most common naturally occurring radioelements: potassium (<sup>40</sup>K), thorium (<sup>232</sup>Th), and uranium (<sup>238</sup>U). For <sup>232</sup>Th and <sup>238</sup>U, the source of the gamma-rays comes from their thallium (<sup>208</sup>Tl) and bismuth (<sup>214</sup>Bi) decay products, respectively, and, thus, concentrations for Th and U are referred to as “equivalent concentration,” assuming radioactive equilibrium. The concentrations of these radioelements can be used together to estimate changes in geochemistry and lithology.</p><p>Carbonatite deposits typically have distinctive geophysical signatures because they are relatively dense, magnetic, and radiogenic. Specifically, the carbonatite and alkaline intrusive suite at Mountain Pass is ultrapotassic and contains relatively significant amounts of K, Th, and U, which can be delineated using airborne radiometric surveys.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3412C","usgsCitation":"Ponce, D.A., and Denton, K.M. (D.A. 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Bernardino\",\"state\":\"CA\"}}]}","contact":"<p><a href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/gmeg/staff.htm\">Director</a>,<br><a href=\"https://geomaps.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://geomaps.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://geomaps.wr.usgs.gov/\">Menlo Park, California</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-08-20","noUsgsAuthors":false,"publicationDate":"2019-08-20","publicationStatus":"PW","contributors":{"editors":[{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":768497,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":768495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denton, Kevin M. 0000-0001-9604-4021 kmdenton@usgs.gov","orcid":"https://orcid.org/0000-0001-9604-4021","contributorId":5303,"corporation":false,"usgs":true,"family":"Denton","given":"Kevin","email":"kmdenton@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":768496,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70237773,"text":"70237773 - 2019 - Potential shifts in zooplankton community structure in response to changing ice regimes and hydrologic connectivity","interactions":[],"lastModifiedDate":"2022-10-25T10:56:40.44597","indexId":"70237773","displayToPublicDate":"2019-08-20T10:36:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Potential shifts in zooplankton community structure in response to changing ice regimes and hydrologic connectivity","docAbstract":"<p><span>Changing Arctic climate may alter freshwater ecosystems as a result of warmer surface waters, longer open-water periods, reduced wintertime lake ice growth, and altered hydrologic connectivity. This study aims to characterize zooplankton community composition and size structure in the context of hydrologic connectivity and ice regimes in Arctic lakes. Between 2011 and 2016, we sampled the phytoplankton, zooplankton, and fish communities from a set of representative lakes on the Arctic Coastal Plain (ACP) of northern Alaska to determine potential food web responses to changing Arctic ecosystems. Multivariate analyses showed that time from ice-out had a strong influence on zooplankton community structure and that seasonal succession of zooplankton differed between lakes with varying hydrologic connectivity. Trends were observed suggesting that large-bodied zooplankton (</span><i>Daphnia</i><span>, calanoid copepods) may be more prevalent in poorly connected lakes with low fish diversity. Large-bodied zooplankton displayed higher biomass in lakes with high occurrences of bedfast ice, while small-bodied zooplankton (</span><i>Bosmina</i><span>, rotifers) displayed highest biomass in deeper lakes with low occurrences of bedfast ice. Our results contribute to limited knowledge of zooplankton in remote lakes of the ACP and suggest that the anticipated changes to aquatic ecosystems in the Arctic may include energetically less efficient plankton food webs.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230430.2019.1643210","usgsCitation":"Beaver, J.R., Arp, C.D., Tausz, C.E., Jones, B.M., Whitman, M.S., Renicker, T.R., Samples, E.E., Ordosch, D.M., and Scotese, K.C., 2019, Potential shifts in zooplankton community structure in response to changing ice regimes and hydrologic connectivity: Arctic, Antarctic, and Alpine Research, v. 51, no. 1, p. 327-345, https://doi.org/10.1080/15230430.2019.1643210.","productDescription":"19 p.","startPage":"327","endPage":"345","ipdsId":"IP-086427","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":467357,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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