Shallow and deep-seated landslides have occurred episodically on the steep coastal bluffs of the Atlantic Highlands area (Boroughs of Atlantic Highlands and Highlands) in New Jersey. The oldest documented deep-seated landslide occurred in April 1782 and significantly changed the morphology of the bluff. However, recent landslides have been mostly shallow in nature and have occurred during large storms with exceptionally heavy rainfall. These shallow landslides have resulted in considerable damage to residential property and local infrastructure and threatened human safety.
The recent shallow landslides in the area (locations modified from New Jersey Department of Environmental Protection) consist primarily of slumps and flows of earth and debris within areas of historical landslides or on slopes modified by human activities. Such landslides are typically triggered by increases in shallow soil moisture and pore-water pressure caused by sustained and intense rainfall associated with spring nor’easters and late summer–fall tropical cyclones. However, the critical relation between rainfall, soil-moisture conditions, and landslide movement has not been fully defined. The U.S. Geological Survey is currently monitoring hillslopes within the Atlantic Highlands area to better understand the hydrologic and meteorological conditions associated with shallow landslide initiation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173068","usgsCitation":"Reilly, P.A., Ashland, F.X., and Fiore, A.R., 2017, Landslide monitoring in the Atlantic Highlands area, New Jersey: U.S. Geological Survey Fact Sheet 2017–3068, 4 p., https://doi.org/10.3133/fs20173068.","productDescription":"4 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-087942","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":345056,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3068/fs20173068.pdf","text":"Report","size":"3.72 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3068"},{"id":345055,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3068/coverthb2.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Atlantic Highlands area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.06021118164062,\n 40.3836897366636\n ],\n [\n -73.96717071533203,\n 40.3836897366636\n ],\n [\n -73.96717071533203,\n 40.43649540640561\n ],\n [\n -74.06021118164062,\n 40.43649540640561\n ],\n [\n -74.06021118164062,\n 40.3836897366636\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
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Municipalities in Johnson County in northeastern Kansas are required to implement stormwater management programs to reduce pollutant discharges, protect water quality, and comply with applicable water-quality regulations in accordance with National Pollutant Discharge Elimination System permits for stormwater discharge. To this end, municipalities collect grab samples at streams entering and leaving their jurisdiction to determine levels of excessive nutrients, sediment, and fecal bacteria to characterize pollutants and understand the factors affecting them.
In 2014, the U.S. Geological Survey and the Johnson County Stormwater Management Program, with input from the Kansas Department of Health and Environment, initiated a 5-year monitoring program to satisfy minimum sampling requirements for each municipality as described by new stormwater permits issued to Johnson County municipalities. The purpose of this report is to provide a preliminary assessment of the monitoring program. The monitoring program is described, a preliminary assessment of the monitoring program design is provided using water-quality data collected during the first 2 years of the program, and the ability of the current monitoring network and sampling plan to provide data sufficient to quantify improvements in water quality resulting from implemented and planned best management practices is evaluated. The information in this initial report may be used to evaluate changes in data collection methods while data collection is still ongoing that may lead to improved data utility.
Discrete water-quality samples were collected at 27 sites and analyzed for nutrients, Escherichia coli (E. coli) bacteria, total suspended solids, and suspended-sediment concentration. In addition, continuous water-quality data (water temperature, pH, dissolved oxygen, specific conductance, turbidity, and nitrate plus nitrite) were collected at one site to characterize variability and provide a basis for comparison to discrete data. Base flow samples indicated that point sources are likely affecting nutrient concentrations and E. coli bacteria densities at several sites. Concentrations of all analytes in storm runoff samples were characterized by substantial variability among sites and samples. About one-half of the sites, representing different watersheds, had storm runoff samples with nitrogen concentrations greater than 10 milligrams per liter. About one-third of the sites, representing different watersheds, had storm runoff samples with total phosphorus concentrations greater than 3 milligrams per liter. Six sites had samples with E. coli densities greater than 100,000 colonies per 100 milliliters of water. Total suspended solids concentrations of about 12,000 milligrams per liter or greater occurred in samples from three sites.
Data collected for this monitoring program may be useful for some general assessment purposes but may also be limited in potential to fully inform stormwater management activities. Valuable attributes of the monitoring program design included incorporating many sites across the county for comparisons among watersheds and municipalities, using fixed-stage samplers to collect multiple samples during single events, collection of base flow samples in addition to storm samples to isolate possible point sources from stormwater sources, and use of continuous monitors to characterize variability. Limiting attributes of the monitoring program design included location of monitoring sites along municipal boundaries to satisfy permit requirements rather than using watershed-based criteria such as locations of tributaries, potential pollutant sources, and implemented management practices. Additional limiting attributes include having a large number of widespread sampling locations, which presented logistical challenges for predicting localized rainfall and collecting and analyzing samples during short timeframes associated with storms, and collecting storm samples at fixed-stage elevations only during the rising limb of storms, which does not characterize conditions over the storm hydrograph. The small number of samples collected per site resulted in a sample size too small to be representative of site conditions, including seasonal and hydrologic variability, and insufficient for meaningful statistical analysis or site-specific modeling.
Several measures could be taken to improve data utility and include redesigning the monitoring network according to watershed characteristics, incorporating a nested design in which data are collected at different scales (watershed, subwatershed, and best management practices), increasing sampling frequency, and combining different methods to allow for flexibility to focus on areas and conditions of particular interest. A monitoring design that would facilitate most of these improvements would be to focus efforts on a limited number of watersheds for several years, then cycle to the next set of watersheds for several years, eventually returning to previously monitored watersheds to document changes.
Redesign of the water-quality monitoring program requires considerable effort and commitment from municipalities of Johnson County. However, the long-term benefit likely is a monitoring program that results in improved stream conditions and more effective management practices and efficient expenditure of resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175089","collaboration":"Prepared in cooperation with the Johnson County [Kans.] Stormwater Management Program","usgsCitation":"Rasmussen, T.J., and Paxson, C.R., 2017, Preliminary assessment of a water-quality monitoring program for total maximum daily loads in Johnson County, Kansas, January 2015 through June 2016: U.S. Geological Survey Scientific Investigations Report 2017–5089, 20 p., https://doi.org/10.3133/sir20175089.","productDescription":"Report: vi, 20 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-082145","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":345128,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GT5M2G","text":"USGS data release","description":"USGS data release","linkHelpText":"Water-quality data"},{"id":345101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5089/coverthb.jpg"},{"id":345102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5089/sir20175089.pdf","text":"Report","size":"2.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5089"}],"country":"United States","state":"Kansas","county":"Johnson County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.08,\n 38.7\n ],\n [\n -94.61,\n 38.7\n ],\n [\n -94.61,\n 39.08\n ],\n [\n -95.08,\n 39.08\n ],\n [\n -95.08,\n 38.7\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
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In 2015, the U.S. Geological Survey (USGS) National Water-Quality Assessment (NAWQA) project conducted the Pacific Northwest Stream Quality Assessment (PNSQA) to investigate stream quality across the western part of the Pacific Northwest. The goal of the PNSQA was to assess the health of streams in the region by characterizing multiple water-quality factors that are stressors to in-stream aquatic life and by evaluating the relation between these stressors and the condition of biological communities. The effects of urbanization and agriculture on stream quality for the Puget Lowland and Willamette Valley Level III Ecoregions were the focus of this regional study. Findings will help inform the public and policymakers about human and environmental factors that are the most critical in affecting stream quality and, thus, provide insights into possible strategies to protect or improve the health of streams in the region.
Land-use data were used in the study to identify and select sites within the region that ranged in levels of urban and agricultural development. A total of 88 sites were selected across the region—69 were on streams that explicitly spanned a range of urban land use in their watersheds, 8 were on streams in agricultural watersheds, and 11 were reference sites with little or no development in their watersheds. Depending on the type of land use, sites were sampled for contaminants, nutrients, and sediment for either a 4- or 10-week period during April, May, and June 2015. This water-quality “index period” was immediately followed with an ecological survey of all sites that included stream habitat, benthic algae, benthic macroinvertebrates, and fish. Additionally, streambed sediment was collected during the ecological survey for analysis of sediment chemistry and toxicity testing.
This report provides a detailed description of the specific study components and methods of the PNSQA, including (1) surveys of stream habitat and aquatic biota, (2) discrete water sampling, (3) deployment of passive polar organic chemical integrative samplers for pesticides and pharmaceuticals, and (4) sampling of streambed sediment. At selected study sites, toxicity testing of streambed sediment, continuous water-quality monitoring, and daily pesticide sampling also were conducted and are described.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171103","collaboration":"National Water-Quality Assessment Project","usgsCitation":"Sheibley, R.W., Morace, J.L., Journey, C.A., Van Metre, P.C., Bell, A.H., Nakagaki, Naomi, Button, D.T., and Qi, S.L., 2017, Design and methods of the Pacific Northwest Stream Quality Assessment (PNSQA), 2015: U.S. Geological Survey Open-File Report 2017-1103, 46 p., https://doi.org/10.3133/ofr20171103.","productDescription":"Report: viii, 46 p.; Table; 2 Appendixes","onlineOnly":"Y","ipdsId":"IP-086097","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":345123,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1103/coverthb.jpg"},{"id":345124,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1103/ofr20171103.pdf","text":"Report","size":"18.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1103"},{"id":345125,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1103/ofr20171103_appendixa.xlsx","text":"Appendix A","size":"325 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2017-1103 Appendix A"},{"id":345126,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1103/ofr20171103_appendixb.xlsx","text":"Appendix B","size":"86 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2017-1103 Appendix B"},{"id":345127,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2017/1103/ofr20171103_table4.xlsx","text":"Table 4","size":"37 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2017-1103 Table 4"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -127,\n 43.25\n ],\n [\n -120,\n 43.25\n ],\n [\n -120,\n 49\n ],\n [\n -127,\n 49\n ],\n [\n -127,\n 43.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
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In addition to eating contaminated prey, sea turtles may be exposed to persistent organic pollutants (POPs) from ingesting plastic debris that has absorbed these chemicals. Given the limited knowledge about POPs in pelagic sea turtles and how plastic ingestion influences POP exposure, our objectives were to: 1) provide baseline contaminant levels of three species of pelagic Pacific sea turtles; and 2) assess trends of contaminant levels in relation to species, sex, length, body condition and capture location. In addition, we hypothesized that if ingesting plastic is a significant source of POP exposure, then the amount of ingested plastic may be correlated to POP concentrations accumulated in fat. To address our objectives we compared POP concentrations in fat samples to previously described amounts of ingested plastic from the same turtles. Fat samples from 25 Pacific pelagic sea turtles [2 loggerhead (Caretta caretta), 6 green (Chelonia mydas) and 17 olive ridley (Lepidochelys olivacea) turtles] were analyzed for 81 polychlorinated biphenyls (PCBs), 20 organochlorine pesticides, and 35 brominated flame-retardants. The olive ridley and loggerhead turtles had higher ΣDDTs (dichlorodiphenyltrichloroethane and metabolites) than ΣPCBs, at a ratio similar to biota measured in the South China Sea and southern California. Green turtles had a ratio close to 1:1. These pelagic turtles had lower POP levels than previously reported in nearshore turtles. POP concentrations were unrelated to the amounts of ingested plastic in olive ridleys, suggesting that their exposure to POPs is mainly through prey. In green turtles, concentrations of ΣPCBs were positively correlated with the number of plastic pieces ingested, but these findings were confounded by covariance with body condition index (BCI). Green turtles with a higher BCI had eaten more plastic and also had higher POPs. Taken together, our findings suggest that sea turtles accumulate most POPs through their prey rather than marine debris.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.07.242","usgsCitation":"Clukey, K., Lepczyk, C.A., Balazs, G.H., Work, T.M., Li, Q.X., Bachman, M.J., and Lynch, J.M., 2017, Persistent organic pollutants in fat of three species of Pacific pelagic longline caught sea turtles: Accumulation in relation to ingested plastic marine debris: Science of the Total Environment, v. 610-611, no. 1, p. 402-411, https://doi.org/10.1016/j.scitotenv.2017.07.242.","productDescription":"10 p.","startPage":"402","endPage":"411","ipdsId":"IP-089214","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469589,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.07.242","text":"Publisher Index Page"},{"id":345093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Pacific Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -220.35546874999997,\n -15\n ],\n [\n -122.16796875,\n -15\n ],\n [\n -122.16796875,\n 36.03133177633187\n ],\n [\n -220.35546874999997,\n 36.03133177633187\n ],\n [\n -220.35546874999997,\n -15\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"610-611","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599fe5b4e4b038630d0220e7","contributors":{"authors":[{"text":"Clukey, Katharine","contributorId":195807,"corporation":false,"usgs":false,"family":"Clukey","given":"Katharine","email":"","affiliations":[],"preferred":false,"id":708286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lepczyk, Christopher A.","contributorId":192485,"corporation":false,"usgs":false,"family":"Lepczyk","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balazs, George H.","contributorId":127680,"corporation":false,"usgs":false,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":708288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":708285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Qing X.","contributorId":195808,"corporation":false,"usgs":false,"family":"Li","given":"Qing","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":708289,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bachman, Melanie J.","contributorId":195809,"corporation":false,"usgs":false,"family":"Bachman","given":"Melanie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708290,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lynch, Jennifer M.","contributorId":192486,"corporation":false,"usgs":false,"family":"Lynch","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":708291,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70190284,"text":"70190284 - 2017 - Change in morphology and modern sediment thickness on the inner continental shelf offshore of Fire Island, New York between 2011 and 2014: Analysis of hurricane impact","interactions":[],"lastModifiedDate":"2017-08-24T08:51:50","indexId":"70190284","displayToPublicDate":"2017-08-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Change in morphology and modern sediment thickness on the inner continental shelf offshore of Fire Island, New York between 2011 and 2014: Analysis of hurricane impact","docAbstract":"Seafloor mapping investigations conducted on the lower shoreface and inner continental shelf offshore of Fire\r\nIsland, New York in 2011 and 2014, the period encompassing the impacts of Hurricanes Irene and Sandy,\r\nprovide an unprecedented perspective regarding regional inner continental shelf sediment dynamics during\r\nlarge storm events. Analyses of these studies demonstrate that storm-induced erosion and sediment transport\r\noccurred throughout the study area in water depths up to 30 m. Acoustic backscatter patterns were observed to\r\nmove from ~1 m to 450 m with a mean of 20 m and movement tended to decrease with increasing water depth.\r\nThese patterns indicate that both of the primary inner continental shelf sedimentary features in the study area,\r\nlinear sorted bedforms offshore of eastern Fire Island and shoreface-attached sand ridges offshore of central and\r\nwestern Fire island, migrated alongshore to the southwest. The migration of the sorted bedforms represents the\r\nmodification of an active ravinement surface and is thought to have liberated a significant volume of sediment.\r\nComparison of isopach maps of sediment thickness show that the volume of modern sediment composing the\r\nlower shoreface and shoreface-attached sand ridges decreased by ~2.8 × 106 m3 across the ~73 km2 of\r\ncommon seafloor mapped in both surveys. However, a similar analysis for the relatively calmer 15-yr period\r\nprior to 2011 revealed significant accretion. This allows speculation that the shoreface-attached sand ridges are\r\nmaintained over decadal timescales via sediment supplied through erosion of Pleistocene outwash and lower\r\nHolocene transgressive channel-fill deposits exposed on the inner continental shelf, but that the sand ridges also\r\nperiodically erode and move to the southwest during large storm events. Analyses show that significant storminduced\r\nerosion and sediment transport occurs far seaward of the 5 to 9 m depth of closure assumed for Fire\r\nIsland, where it is thought that an onshore-directed sediment flux from the inner continental shelf to the littoral\r\nsystem is required to balance the coastal sediment budget. It is also thought that the morphology of the\r\nshoreface-attached sand ridges controls the persistent shape of the adjacent shoreline through modification of\r\nincident waves. Thus, we suggest that the sediment dynamics of the inner continental shelf and both storminduced\r\nand anthropogenic modification of the field of shoreface-attached sand ridges be considered in future\r\ncoastal resiliency planning.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2017.07.010","usgsCitation":"Schwab, W.C., Baldwin, W.E., Warner, J., List, J.H., Denny, J.F., Liste Munoz, M., and Safak, I., 2017, Change in morphology and modern sediment thickness on the inner continental shelf offshore of Fire Island, New York between 2011 and 2014: Analysis of hurricane impact: Marine Geology, v. 391, no. 1, p. 48-64, https://doi.org/10.1016/j.margeo.2017.07.010.","productDescription":"17 p.","startPage":"48","endPage":"64","ipdsId":"IP-081075","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469593,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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0000-0002-3472-618X jdenny@usgs.gov","orcid":"https://orcid.org/0000-0002-3472-618X","contributorId":418,"corporation":false,"usgs":true,"family":"Denny","given":"Jane","email":"jdenny@usgs.gov","middleInitial":"F.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liste Munoz, Maria 0000-0003-1607-2167 mlistemunoz@usgs.gov","orcid":"https://orcid.org/0000-0003-1607-2167","contributorId":184243,"corporation":false,"usgs":true,"family":"Liste Munoz","given":"Maria","email":"mlistemunoz@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708284,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Safak, Ilgar 0000-0001-7675-0770 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Historical (1940–1950) chloride concentration data of glacial aquifer wells in the study area indicate the presence of four wedges of saltwater intrusion that may have been caused by industrial pumpage. The limited recharge capability of the aquifer, due to impervious surfaces and the 22.7 million liters per day (mld) of reported industrial pumpage early in the 20th Century was probably the cause for the saltwater intrusion and the persistence of the historical saltwater intrusion wedges over time. Recent drilling of wells provided new information on the hydrogeology and extent of saltwater intrusion of the glacial aquifer overlying bedrock. The new observation wells provided ground-water level, chloride concentration, hydraulic conductivity, and borehole geophysical data of the glacial aquifer. The glacial sediments range in thickness from less than 0.3 m to more than 76.2 m within the study area. A linear relation between Electromagnetic-induction (EM) conductivity log response and measured chloride concentration was determined. Using this relation, chloride concentration was estimated in parts of the glacial aquifer where sampling was not possible. EM logging is an effective tool to monitor changes in saltwater intrusion wedges.","language":"English","publisher":"MDPI","doi":"10.3390/w9090631","usgsCitation":"Stumm, F., and Como, M.D., 2017, Delineation of salt water intrusion through use of electromagnetic-induction logging: A case study in Southern Manhattan Island, New York: Water, v. 9, no. 9, p. 1-17, https://doi.org/10.3390/w9090631.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-002006","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":469592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w9090631","text":"Publisher Index Page"},{"id":345096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","city":"New York City","otherGeospatial":"Manhattan Island","geographicExtents":"{\n \"type\": 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]\n }\n }\n ]\n}","volume":"9","issue":"9","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-23","publicationStatus":"PW","scienceBaseUri":"599fe5b6e4b038630d0220ee","contributors":{"authors":[{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":708274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Como, Michael D. 0000-0002-7911-5390 mcomo@usgs.gov","orcid":"https://orcid.org/0000-0002-7911-5390","contributorId":4651,"corporation":false,"usgs":true,"family":"Como","given":"Michael","email":"mcomo@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science 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from anthropogenic, biomass-burning, and unidentified biogenic sources. Fermentation of acetylene was serendipitously discovered during C2H2 block assays of N2O reductase, and Pelobacter acetylenicus was shown to grow on C2H2 via acetylene hydratase (AH). AH is a W-containing, catabolic, low-redox-potential enzyme that, unlike nitrogenase (N2ase), is specific for acetylene. Acetylene fermentation is a rare metabolic process that is well characterized only in P. acetylenicus DSM3246 and DSM3247 and Pelobacter sp. strain SFB93. To better understand the genetic controls for AH activity, we sequenced the genomes of the three acetylene-fermenting Pelobacter strains. Genome assembly and annotation produced three novel genomes containing gene sequences for AH, with two copies being present in SFB93. In addition, gene sequences for all five compulsory genes for iron-molybdenum N2ase were also present in the three genomes, indicating the cooccurrence of two acetylene transformation pathways. Nitrogen fixation growth assays showed that DSM3426 could ferment acetylene in the absence of ammonium, but no ethylene was produced. However, SFB93 degraded acetylene and, in the absence of ammonium, produced ethylene, indicating an active N2ase. Diazotrophic growth was observed under N2 but not in experimental controls incubated under argon. SFB93 exhibits acetylene fermentation and nitrogen fixation, the only known biochemical mechanisms for acetylene transformation. Our results indicate complex interactions between N2ase and AH and suggest novel evolutionary pathways for these relic enzymes from early Earth to modern days.
","language":"English","publisher":"American Society of Microbiology","doi":"10.1128/AEM.01198-17","usgsCitation":"Akob, D.M., Baesman, S., Sutton, J.M., Fierst, J.L., Mumford, A.C., Shrestha, Y., Poret-Peterson, A.T., Bennett, S.C., Dunlap, D.S., Haase, K.B., and Oremland, R.S., 2017, Detection of diazotrophy in the acetylene-fermenting anaerobe Pelobacter sp. strain SFB93: Applied and Environmental Microbiology, v. 17, no. 83, p. 1-10, https://doi.org/10.1128/AEM.01198-17.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-081526","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469594,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/aem.01198-17","text":"Publisher Index Page"},{"id":438240,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z71JH","text":"USGS data release","linkHelpText":"Discovery of Two Biological Mechanisms for Acetylene Metabolism in a Single Organism"},{"id":345099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"83","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599fe5b7e4b038630d0220f4","contributors":{"authors":[{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baesman, Shaun 0000-0003-0741-8269 sbaesman@usgs.gov","orcid":"https://orcid.org/0000-0003-0741-8269","contributorId":3478,"corporation":false,"usgs":true,"family":"Baesman","given":"Shaun","email":"sbaesman@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":708252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, John M.","contributorId":179294,"corporation":false,"usgs":false,"family":"Sutton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":708253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fierst, Janna L.","contributorId":179295,"corporation":false,"usgs":false,"family":"Fierst","given":"Janna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":708255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shrestha, Yesha 0000-0002-9714-8516 yshrestha@usgs.gov","orcid":"https://orcid.org/0000-0002-9714-8516","contributorId":189970,"corporation":false,"usgs":true,"family":"Shrestha","given":"Yesha","email":"yshrestha@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708256,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poret-Peterson, Amisha T.","contributorId":179296,"corporation":false,"usgs":false,"family":"Poret-Peterson","given":"Amisha","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":708257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bennett, Stacy C. 0000-0001-5752-1390 scbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-5752-1390","contributorId":193487,"corporation":false,"usgs":true,"family":"Bennett","given":"Stacy","email":"scbennett@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":708261,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dunlap, Darren S. 0000-0001-5595-6817 ddunlap@usgs.gov","orcid":"https://orcid.org/0000-0001-5595-6817","contributorId":5260,"corporation":false,"usgs":true,"family":"Dunlap","given":"Darren","email":"ddunlap@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708258,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haase, Karl B. 0000-0002-6897-6494 khaase@usgs.gov","orcid":"https://orcid.org/0000-0002-6897-6494","contributorId":3405,"corporation":false,"usgs":true,"family":"Haase","given":"Karl","email":"khaase@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":708259,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","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":708260,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70192829,"text":"70192829 - 2017 - Maintenance of influenza A viruses and antibody response in mallards (Anas platyrhynchos) sampled during the non-breeding season in Alaska","interactions":[],"lastModifiedDate":"2018-06-20T20:24:34","indexId":"70192829","displayToPublicDate":"2017-08-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Maintenance of influenza A viruses and antibody response in mallards (Anas platyrhynchos) sampled during the non-breeding season in Alaska","docAbstract":"Prevalence of influenza A virus (IAV) infections in northern-breeding waterfowl has previously been reported to reach an annual peak during late summer or autumn; however, little is known about IAV infection dynamics in waterfowl populations persisting at high-latitude regions such as Alaska, during winter. We captured mallards (Anas platyrhynchos) throughout the non-breeding season (August–April) of 2012–2015 in Fairbanks and Anchorage, the two largest cities in Alaska, to assess patterns of IAV infection and antibody production using molecular methods and a standard serologic assay. In addition, we used virus isolation, genetic sequencing, and a virus microneutralization assay to characterize viral subtypes and to evaluate the immune response of mallards captured on multiple occasions through time. We captured 923 mallards during three successive sampling years: Fairbanks in 2012/13 and 2013/14, and Anchorage in 2014/15. Prevalence varied by age, season, and year/site with high and relatively stable estimates throughout the non-breeding season. Infected birds were detected in all locations/seasons except early-winter in Fairbanks during 2013/14. IAVs with 17 combinations of hemagglutinin (H1–5, H7–9, H11, H12) and neuraminidase (N1–6, N8, N9) subtypes were isolated. Antibodies to IAVs were detected throughout autumn and winter for all sampling locations and years, however, seroprevalence was higher among adults and varied among years. Mallards exhibited individual heterogeneity with regard to immune response, providing instances of both seroconversion and seroreversion to detected viral subtypes. The probability that an individual transitioned from one serostatus to another varied by age, with juvenile mallards having higher rates of seroconversion and seroreversion than adults. Our study provides evidence that a diversity of IAVs circulate in populations of mallards wintering at urban locations in Alaska, and we suggest waterfowl wintering at high-latitudes may play an important role in maintenance of viruses across breeding seasons.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0183505","usgsCitation":"Spivey, T.J., Lindberg, M.S., Meixell, B.W., Smith, K.R., Puryear, W.B., Davis, K., Runstadler, J.A., Stallknecht, D.E., and Ramey, A.M., 2017, Maintenance of influenza A viruses and antibody response in mallards (Anas platyrhynchos) sampled during the non-breeding season in Alaska: PLoS ONE, v. 12, no. 8, Article e0183505; 18 p., https://doi.org/10.1371/journal.pone.0183505.","productDescription":"Article e0183505; 18 p.","ipdsId":"IP-083668","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":469591,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0183505","text":"Publisher Index Page"},{"id":438241,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CZ3626","text":"USGS data release","linkHelpText":"Influenza A Viruses and Antibody Response in High-Latitude Urban Wintering Mallards (Anas platyrhynchos), Alaska, 2012-2015"},{"id":347599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"12","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-24","publicationStatus":"PW","scienceBaseUri":"59f44596e4b063d5d306f2b2","contributors":{"authors":[{"text":"Spivey, Timothy J. 0000-0003-2735-2770 tspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-2735-2770","contributorId":198763,"corporation":false,"usgs":true,"family":"Spivey","given":"Timothy","email":"tspivey@usgs.gov","middleInitial":"J.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lindberg, Mark S.","contributorId":63292,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":717173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meixell, Brandt W. 0000-0002-6738-0349 bmeixell@usgs.gov","orcid":"https://orcid.org/0000-0002-6738-0349","contributorId":138716,"corporation":false,"usgs":true,"family":"Meixell","given":"Brandt","email":"bmeixell@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kyle R.","contributorId":50541,"corporation":false,"usgs":false,"family":"Smith","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":717175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puryear, Wendy Blay","contributorId":174238,"corporation":false,"usgs":false,"family":"Puryear","given":"Wendy","email":"","middleInitial":"Blay","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":717187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, Kimberly R.","contributorId":192195,"corporation":false,"usgs":false,"family":"Davis","given":"Kimberly R.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":717194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runstadler, Jonathan A.","contributorId":24706,"corporation":false,"usgs":false,"family":"Runstadler","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":717195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stallknecht, David E.","contributorId":14323,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":717196,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":717197,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70190280,"text":"70190280 - 2017 - Quantitative microbial risk assessment for spray irrigation of dairy manure based on an empirical fate and transport model","interactions":[],"lastModifiedDate":"2017-09-11T12:35:12","indexId":"70190280","displayToPublicDate":"2017-08-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1542,"text":"Environmental Health Perspectives","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative microbial risk assessment for spray irrigation of dairy manure based on an empirical fate and transport model","docAbstract":"BACKGROUND: Spray irrigation for land-applying livestock manure is increasing in the United States as farms become larger and economies of scale make manure irrigation affordable. Human health risks from exposure to zoonotic pathogens aerosolized during manure irrigation are not well understood.
OBJECTIVES: We aimed to a) estimate human health risks due to aerosolized zoonotic pathogens downwind of spray-irrigated dairy manure; and b) determine which factors (e.g., distance, weather conditions) have the greatest influence on risk estimates.
METHODS: We sampled downwind air concentrations of manure-borne fecal indicators and zoonotic pathogens during 21 full-scale dairy manure irri- gation events at three farms. We fit these data to hierarchical empirical models and used model outputs in a quantitative microbial risk assessment (QMRA) to estimate risk [probability of acute gastrointestinal illness (AGI)] for individuals exposed to spray-irrigated dairy manure containing Campylobacter jejuni, enterohemorrhagic Escherichia coli (EHEC), or Salmonella spp.
RESULTS: Median risk estimates from Monte Carlo simulations ranged from 10−5 to 10−2 and decreased with distance from the source. Risk estimates for Salmonella or EHEC-related AGI were most sensitive to the assumed level of pathogen prevalence in dairy manure, while risk estimates for C. jejuni were not sensitive to any single variable. Airborne microbe concentrations were negatively associated with distance and positively associated with wind speed, both of which were retained in models as a significant predictor more often than relative humidity, solar irradiation, or temperature.
CONCLUSIONS: Our model-based estimates suggest that reducing pathogen prevalence and concentration in source manure would reduce the risk of AGI from exposure to manure irrigation, and that increasing the distance from irrigated manure (i.e., setbacks) and limiting irrigation to times of low wind speed may also reduce risk.
","language":"English","publisher":"U.S. Department of Health and Human Services","doi":"10.1289/EHP283","usgsCitation":"Burch, T., Spencer, S.K., Stokdyk, J.P., Kieke, B.A., Larson, R., Firnstahl, A.D., Rule, A.M., and Borchardt, M.A., 2017, Quantitative microbial risk assessment for spray irrigation of dairy manure based on an empirical fate and transport model: Environmental Health Perspectives, v. 125, no. 8, p. 1-11, https://doi.org/10.1289/EHP283.","productDescription":"Article 087009; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-074697","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":469590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1289/ehp283","text":"Publisher Index Page"},{"id":345097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"125","issue":"8","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599fe5b7e4b038630d0220f1","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":708266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":708267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":708265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kieke, Burney A","contributorId":195802,"corporation":false,"usgs":false,"family":"Kieke","given":"Burney","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":708268,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, Rebecca A","contributorId":195803,"corporation":false,"usgs":false,"family":"Larson","given":"Rebecca A","affiliations":[],"preferred":false,"id":708269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":708270,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rule, Ana M","contributorId":195804,"corporation":false,"usgs":false,"family":"Rule","given":"Ana","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":708271,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":708272,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70187533,"text":"ofr20171051 - 2017 - Balancing habitat delivery for breeding marsh birds and nonbreeding waterfowl: An integrated waterbird management and monitoring approach at Clarence Cannon National Wildlife Refuge, Missouri","interactions":[],"lastModifiedDate":"2024-03-04T19:00:21.524263","indexId":"ofr20171051","displayToPublicDate":"2017-08-23T14:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1051","title":"Balancing habitat delivery for breeding marsh birds and nonbreeding waterfowl: An integrated waterbird management and monitoring approach at Clarence Cannon National Wildlife Refuge, Missouri","docAbstract":"The Clarence Cannon National Wildlife Refuge (CCNWR) in the Mississippi River flood plain of eastern Missouri provides high quality emergent marsh and moist-soil habitat benefitting both nesting marsh birds and migrating waterfowl. Staff of CCNWR manipulate water levels and vegetation in the 17 units of the CCNWR to provide conditions favorable to these two important guilds. Although both guilds include focal species at multiple planning levels and complement objectives to provide a diversity of wetland community types and water regimes, additional decision support is needed for choosing how much emergent marsh and moist-soil habitat should be provided through annual management actions.
To develop decision guidance for balanced delivery of high-energy waterfowl habitat and breeding marsh bird habitat, two measureable management objectives were identified: nonbreeding Anas Linnaeus (dabbling duck) use-days and Rallus elegans (king rail) occupancy of managed units. Three different composite management actions were identified to achieve these objectives. Each composite management action is a unique combination of growing season water regime and soil disturbance. The three composite management actions are intense moist-soil management (moist-soil), intermediate moist-soil (intermediate), and perennial management, which idles soils disturbance (perennial). The two management objectives and three management options were used in a multi-criteria decision analysis to indicate resource allocations and inform annual decision making. Outcomes of the composite management actions were predicted in two ways and multi-criteria decision analysis was used with each set of predictions. First, outcomes were predicted using expert-elicitation techniques and a panel of subject matter experts. Second, empirical data from the Integrated Waterbird Management and Monitoring Initiative collected between 2010 and 2013 were used; where data were lacking, expert judgment was used. Also, a Bayesian decision model was developed that can be updated with monitoring data in an adaptive management framework.
Optimal resource allocations were identified in the form of portfolios of composite management actions for the 17 units in the framework. A constrained optimization (linear programming) was used to maximize an objective function that was based on the sum of dabbling duck and king rail utility. The constraints, which included management costs and a minimum energetic carrying capacity (total moist-soil acres), were applied to balance habitat delivery for dabbling ducks and king rails. Also, the framework was constrained in some cases to apply certain management actions of interest to certain management units; these constraints allowed for a variety of hypothetical Habitat Management Plans, including one based on output from a hydrogeomorphic study of the refuge. The decision analysis thus created numerous refuge-wide scenarios, each representing a unique mix of options (one for each of 17 units) and associated benefits (i.e., outcomes with respect to two management objectives).
Prepared in collaboration with the U.S. Fish and Wildlife Service, the decision framework presented here is designed as a decision-aiding tool for CCNWR managers who ultimately make difficult decisions each year with multiple objectives, multiple management units, and the complexity of natural systems. The framework also provides a way to document hypotheses about how the managed system functions. Furthermore, the framework identifies specific monitoring needs and illustrates precisely how monitoring data will be used for decision-aiding and adaptive management.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171051","usgsCitation":"Loges, B.W., Lyons, J.E., and Tavernia, B.G., 2017, Balancing habitat delivery for breeding marsh birds and nonbreeding waterfowl: An integrated waterbird management and monitoring approach at Clarence Cannon National Wildlife Refuge, Missouri: U.S. Geological Survey Open-File ReportDirector, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road, Ste 4039
Laurel, MD 20708
Earthquakes triggered by other remote seismic events are explained as a response to long-traveling seismic waves that temporarily stress the crust. However, delays of hours or days after seismic waves pass through are reported by several studies, which are difficult to reconcile with the transient stresses imparted by seismic waves. We show that these delays are proportional to magnitude and that nucleation times are best fit to a fluid diffusion process if the governing rupture process involves unlocking a magnitude-dependent critical nucleation zone. It is well established that distant earthquakes can strongly affect the pressure and distribution of crustal pore fluids. Earth’s crust contains hydraulically isolated, pressurized compartments in which fluids are contained within low-permeability walls. We know that strong shaking induced by seismic waves from large earthquakes can change the permeability of rocks. Thus, the boundary of a pressurized compartment may see its permeability rise. Previously confined, overpressurized pore fluids may then diffuse away, infiltrate faults, decrease their strength, and induce earthquakes. Magnitude-dependent delays and critical nucleation zone conclusions can also be applied to human-induced earthquakes.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.1700660","usgsCitation":"Parsons, T.E., Akinci, A., and Malignini, L., 2017, Nucleation speed limit on remote fluid induced earthquakes: Science Advances, v. 3, no. 8, Article e1700660: 8 p., https://doi.org/10.1126/sciadv.1700660.","productDescription":"Article e1700660: 8 p.","ipdsId":"IP-074762","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469596,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.1700660","text":"Publisher Index Page"},{"id":345090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9442e4b04935557fe98f","contributors":{"authors":[{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akinci, Aybige","contributorId":172715,"corporation":false,"usgs":false,"family":"Akinci","given":"Aybige","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":708305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malignini, Luca","contributorId":195816,"corporation":false,"usgs":false,"family":"Malignini","given":"Luca","email":"","affiliations":[],"preferred":false,"id":708309,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190256,"text":"70190256 - 2017 - Global and regional sea level rise scenarios for the United States","interactions":[],"lastModifiedDate":"2017-08-23T09:10:54","indexId":"70190256","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"NOS CO-OPS 083","title":"Global and regional sea level rise scenarios for the United States","docAbstract":"The Sea Level Rise and Coastal Flood Hazard Scenarios and Tools Interagency Task Force, jointly convened by the U.S. Global Change Research Program (USGCRP) and the National Ocean Council (NOC), began its work in August 2015. The Task Force has focused its efforts on three primary tasks:\n1) updating scenarios of global mean sea level (GMSL) rise, 2) integrating the global scenarios with regional factors contributing to sea level change for the entire U.S. coastline, and 3) incorporating these regionally appropriate scenarios within coastal risk management tools and capabilities deployed by individual agencies in support of the needs of specific stakeholder groups and user communities. This technical report focuses on the first two of these tasks and reports on the production of gridded relative sea\nlevel (RSL, which includes both ocean-level change and vertical land motion) projections for the United States associated with an updated set of GMSL scenarios. In addition to supporting the longer-term Task Force effort, this new product will be an important input into the USGCRP Sustained Assessment process and upcoming Fourth National Climate Assessment (NCA4) due in 2018. This report also serves as a keytechnical input into the in-progress USGCRP Climate Science Special Report (CSSR).","language":"English","usgsCitation":"Sweet, W., Kopp, R., Weaver, C., Obeysekera, J., Horton, R.M., Thieler, E.R., and Zervas, C., 2017, Global and regional sea level rise scenarios for the United States, Report: viii, 55 p.; Appedixes A-D.","productDescription":"Report: viii, 55 p.; Appedixes A-D","numberOfPages":"75","ipdsId":"IP-081951","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":345043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345008,"type":{"id":15,"text":"Index Page"},"url":"https://tidesandcurrents.noaa.gov/publications/techrpt83_Global_and_Regional_SLR_Scenarios_for_the_US_final.pdf"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -259.453125,\n -3.864254615721396\n ],\n [\n -39.375,\n -3.864254615721396\n ],\n [\n -39.375,\n 70.72897946208789\n ],\n [\n -259.453125,\n 70.72897946208789\n ],\n [\n -259.453125,\n -3.864254615721396\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9445e4b04935557fe9a3","contributors":{"authors":[{"text":"Sweet, W.","contributorId":195782,"corporation":false,"usgs":false,"family":"Sweet","given":"W.","email":"","affiliations":[],"preferred":false,"id":708183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kopp, R.E.","contributorId":195783,"corporation":false,"usgs":false,"family":"Kopp","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":708184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, C.P.","contributorId":195784,"corporation":false,"usgs":false,"family":"Weaver","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":708185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Obeysekera, J","contributorId":195785,"corporation":false,"usgs":false,"family":"Obeysekera","given":"J","affiliations":[],"preferred":false,"id":708186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton, Radley M.","contributorId":139267,"corporation":false,"usgs":false,"family":"Horton","given":"Radley","email":"","middleInitial":"M.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":708187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zervas, C.","contributorId":195786,"corporation":false,"usgs":false,"family":"Zervas","given":"C.","email":"","affiliations":[],"preferred":false,"id":708188,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70190189,"text":"70190189 - 2017 - Climate scenarios for the Truckee-Carson River system","interactions":[],"lastModifiedDate":"2017-08-23T10:03:54","indexId":"70190189","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Climate scenarios for the Truckee-Carson River system","docAbstract":"In this study, the scenarios ultimately take the form of gridded, daily (maximum and minimum) temperatures and precipitation totals spanning the entire Truckee-Carson River System, from which meteorological inputs to various hydrologic, water-balance and watermanagement models can be extracted by other parts of the Water for the Seasons project and by other studies and stakeholders.
Climate scenarios are constructed using: 1) survey data from interviews with 66 Truckee-Carson River System water-management and water-interest organizations to identify plausible drought and high-flow events that could stress the system irreparably; 2) input from the Stakeholder Affiliate Group and other modelers on the Water for the Seasons team to gain additional key stakeholder input with regard to organizational survey results and to identify the most pressing water-management issues being faced in the system; and 3) historical climate datasets used to simulate possible future conditions.
","language":"English","publisher":"University of Nevada Cooperative Extension Special Publication","usgsCitation":"Dettinger, M.D., Sterle, K., Simpson, K., Singletary, L., Fitzgerald, K., and McCarthy, M., 2017, Climate scenarios for the Truckee-Carson River system, 12 p.","productDescription":"12 p.","ipdsId":"IP-076327","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":345050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345049,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.unce.unr.edu/publications/files/nr/2017/sp1705.pdf"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Carson River, Truckee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.75622558593749,\n 38.45789034424927\n ],\n [\n -119.17694091796875,\n 38.45789034424927\n ],\n [\n -119.17694091796875,\n 39.776880380637024\n ],\n [\n -120.75622558593749,\n 39.776880380637024\n ],\n [\n -120.75622558593749,\n 38.45789034424927\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9446e4b04935557fe9ad","contributors":{"authors":[{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","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},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":707875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sterle, Kelley","contributorId":195683,"corporation":false,"usgs":false,"family":"Sterle","given":"Kelley","email":"","affiliations":[],"preferred":false,"id":707876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simpson, Karen","contributorId":195684,"corporation":false,"usgs":false,"family":"Simpson","given":"Karen","email":"","affiliations":[],"preferred":false,"id":707877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singletary, Loretta","contributorId":195685,"corporation":false,"usgs":false,"family":"Singletary","given":"Loretta","email":"","affiliations":[],"preferred":false,"id":707878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzgerald, Kelsey","contributorId":195686,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Kelsey","email":"","affiliations":[],"preferred":false,"id":707880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCarthy, Maureen","contributorId":149897,"corporation":false,"usgs":false,"family":"McCarthy","given":"Maureen","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":707879,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70190289,"text":"70190289 - 2017 - Depth of the vadose zone controls aquifer biogeochemical conditions and extent of anthropogenic nitrogen removal","interactions":[],"lastModifiedDate":"2018-05-02T21:27:07","indexId":"70190289","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Depth of the vadose zone controls aquifer biogeochemical conditions and extent of anthropogenic nitrogen removal","docAbstract":"We investigated biogeochemical conditions and watershed features controlling the extent of nitrate removal through microbial dinitrogen (N2) production within the surficial glacial aquifer located on the north and south shores of Long Island, NY, USA. The extent of N2 production differs within portions of the aquifer, with greatest N2 production observed at the south shore of Long Island where the vadose zone is thinnest, while limited N2production occurred under the thick vadose zones on the north shore. In areas with a shallow water table and thin vadose zone, low oxygen concentrations and sufficient DOC concentrations are conducive to N2production. Results support the hypothesis that in aquifers without a significant supply of sediment-bound reducing potential, vadose zone thickness exerts an important control of the extent of N2 production. Since quantification of excess N2 relies on knowledge of equilibrium N2concentration at recharge, calculated based on temperature at recharge, we further identify several features, such as land use and cover, seasonality of recharge, and climate change that should be considered to refine estimation of recharge temperature, its deviation from mean annual air temperature, and resulting deviation from expected equilibrium gas concentrations.
Confusion regarding the identification of Placobdella hollensis (Whitman, 1892) (Hirudinida: Glossiphoniidae) has led to an unclear understanding of the distribution of the species. Two specimens of P. hollensis were collected from Merchants Millpond State Park, Gates County, North Carolina, U.S.A., representing a new geographic distribution record. Specimens were confirmed as P. hollensis by morphological and molecular study. Specimens of P. hollensisfrom North Carolina, had accessory eyes, 2 thin paramedial dark lines, and 3 pairs of pre-anal papillae. Molecular comparison of cytochrome c oxidase subunit I sequence data revealed a 99.0 to 99.7% similarity to specimens of P. hollensis collected from its type locality (Barnstable County, Massachusetts, U.S.A.). From confirmed specimens of P. hollensis, this report supports the assertion that P. hollensis has an Atlantic coastal distribution.
","language":"English","publisher":"The Helminthological Society of Washington","doi":"10.1654/1525-2647-84.2.165","usgsCitation":"Moser, W.E., Richardson, D.J., Hammond, C.I., Gotte, S.W., and Lazo-Wasem, E., 2017, Distribution of Placobdella hollensis (Whitman, 1892) (Hirudinida: Glossiphoniidae): Comparative Parasitology, v. 84, no. 2, p. 165-168, https://doi.org/10.1654/1525-2647-84.2.165.","productDescription":"4 p.","startPage":"165","endPage":"168","ipdsId":"IP-085012","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":345089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345071,"type":{"id":15,"text":"Index Page"},"url":"https://www.bioone.org/doi/abs/10.1654/1525-2647-84.2.165"}],"volume":"84","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9442e4b04935557fe98a","contributors":{"authors":[{"text":"Moser, William E.","contributorId":195817,"corporation":false,"usgs":false,"family":"Moser","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":708311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, Dennis J.","contributorId":195818,"corporation":false,"usgs":false,"family":"Richardson","given":"Dennis","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammond, Charlotte I.","contributorId":195819,"corporation":false,"usgs":false,"family":"Hammond","given":"Charlotte","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":708313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gotte, Steve W. 0000-0001-5509-4495 sgotte@usgs.gov","orcid":"https://orcid.org/0000-0001-5509-4495","contributorId":4481,"corporation":false,"usgs":true,"family":"Gotte","given":"Steve","email":"sgotte@usgs.gov","middleInitial":"W.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":708310,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lazo-Wasem, Eric","contributorId":195820,"corporation":false,"usgs":false,"family":"Lazo-Wasem","given":"Eric","affiliations":[],"preferred":false,"id":708314,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190273,"text":"70190273 - 2017 - Satellite-tagged osprey nearly sets longevity record and productivity response to initial captures","interactions":[],"lastModifiedDate":"2017-11-22T16:47:50","indexId":"70190273","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-tagged osprey nearly sets longevity record and productivity response to initial captures","docAbstract":"We equipped adult Ospreys (Pandion haliaetus) from 24 nests in Oregon/Washington with satellite-tracked battery-powered radios, known as platform transmitter terminals (PTTs), in 1996–1999. These Ospreys from the lower Columbia River (river miles 76–286), and the Willamette Valley in western Oregon were part of a larger study of Osprey fall migration, wintering ecology, and spring migration, which included additional adults from the Upper Midwest and East Coast of the United States (Martell et al. 2001, 2014, Washburn et al. 2014). These early-generation PTTs weighed 30–35 g (Microwave Telemetry Inc., Columbia, MD U.S.A.) and utilized the ARGOS tracking system (www.argos-system.org). We placed PTTs on the birds' backs using Teflon ribbon (Bally Ribbon, Bally, PA U.S.A.) in a standard backpack configuration (Kenward 2001). With the mass of adult male Ospreys 1400 to 1500 g (Poole et al. 2002), the ratio of tag mass to body mass was 2.0 to 2.5%. Ospreys also received a standard size 8 bird band (U.S. Geological Survey) on one leg and a numbered color band on the other. For more details on trapping techniques, attachment procedures, the battery-powered units, turn-on, turn-off cycles, and tracking equipment, see Martell et al. (2001).
","language":"English","publisher":"BioOne","doi":"10.3356/JRR-16-71.1","usgsCitation":"Henny, C.J., and Martell, M.S., 2017, Satellite-tagged osprey nearly sets longevity record and productivity response to initial captures: Journal of Raptor Research, v. 51, no. 2, p. 180-183, https://doi.org/10.3356/JRR-16-71.1.","productDescription":"4 p.","startPage":"180","endPage":"183","ipdsId":"IP-078666","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":345041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.16497802734375,\n 45.65628792636447\n ],\n [\n -122.5579833984375,\n 45.65628792636447\n ],\n [\n -122.5579833984375,\n 46.09418614922648\n ],\n [\n -123.16497802734375,\n 46.09418614922648\n ],\n [\n -123.16497802734375,\n 45.65628792636447\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9444e4b04935557fe99a","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":708234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martell, Mark S.","contributorId":138541,"corporation":false,"usgs":false,"family":"Martell","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":12435,"text":"Audubon Minnesota","active":true,"usgs":false},{"id":35833,"text":"The Raptor Center at the University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":708235,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190266,"text":"sir20175073 - 2017 - Flood-inundation maps for the Wabash River at Memorial Bridge at Vincennes, Indiana","interactions":[],"lastModifiedDate":"2017-08-24T08:39:10","indexId":"sir20175073","displayToPublicDate":"2017-08-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5073","title":"Flood-inundation maps for the Wabash River at Memorial Bridge at Vincennes, Indiana","docAbstract":"Digital flood-inundation maps for a 10.2-mile reach of the Wabash River from Sevenmile Island to 3.7 mile downstream of Memorial Bridge (officially known as Lincoln Memorial Bridge) at Vincennes, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 03343010, Wabash River at Memorial Bridge at Vincennes, Ind. Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http:/water.weather.gov/ahps/, which also forecasts flood hydrographs at this site.
For this study, flood profiles were computed for the Wabash River reach by means of a one-dimensional stepbackwater model. The hydraulic model was calibrated by using the most current stage-discharge relations at USGS streamgage 03343010, Wabash River at Memorial Bridge at Vincennes, Ind., and preliminary high-water marks from a high-water event on April 27, 2013. The calibrated hydraulic model was then used to determine 19 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from 10 feet (ft) or near bankfull to 28 ft, the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a Geographic Information System (GIS) digital elevation model (DEM, derived from Light Detection and Ranging [lidar] data having a 0.98-ft vertical accuracy and 4.9-ft horizontal resolution) in order to delineate the area flooded at each water level.
The availability of these maps—along with Internet information regarding current stage from the USGS streamgage 03343010, and forecast stream stages from the NWS AHPS—provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175073","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Fowler, K.K., and Menke, C.D., 2017, Flood-inundation maps for the Wabash River at Memorial Bridge at Vincennes, Indiana: U.S. Geological Survey Scientific Investigations Report 2017–5073, 10 p., https://doi.org/10.3133/sir20175073.","productDescription":"Report: vi, 10 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081973","costCenters":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":345020,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7ZG6QGC","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Wabash River at Memorial Bridge, Vincennes, Indiana, Flood-Inundation Geospatial Data Sets and Metadata"},{"id":345018,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5073/coverthb.jpg"},{"id":345019,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5073/sir20175073.pdf","text":"Report","size":"1.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5073"}],"country":"United States","state":"Indiana","city":"Vincennes","otherGeospatial":"Wabash River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.74,\n 38.46434231629165\n ],\n [\n -87.19161987304688,\n 38.46434231629165\n ],\n [\n -87.19161987304688,\n 38.89744587262311\n ],\n [\n -87.74,\n 38.89744587262311\n ],\n [\n -87.74,\n 38.46434231629165\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Boulevard
Indianapolis, IN 46278–1996
From 12 May 2013 to 29 May 2013, the Gull-billed Tern (Gelochelidon nilotica) colony at the San Diego Bay National Wildlife Refuge, California, experienced a mass die-off of at least 92 adults, representing 71–92% of the breeding population on the US west coast. Cause of death was determined to be peritonitis due to perforations of the intestine by a large quantity of acanthocephala (Profilicolis [=Polymorphus] altmani). This is a unique report of P. altmani infecting G. nilotica, and a report of a great impact to a tern population in southern California. Mole crabs (Emerita analoga), the intermediate host for P. altmani and a major component of the Gull-billed Tern diet in San Diego, were found in the stomachs of necropsied terns along with cystacanths, and are the presumed source of the parasite infection. The tern's dietary reliance upon mole crabs likely amplified parasite transmission and infection. We suggest additional research to determine factors that influence parasite infection of intermediate and definitive hosts, particularly mole crabs, given that they are a vital resource for migrating birds within the coastal zone.
Using a geology-based assessment methodology, the U.S. Geological Survey assessed undiscovered, technically recoverable mean continuous resources of 14.4 billion barrels of oil and 38 trillion cubic feet of gas in the Neuquén Basin Province, Argentina.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173025","usgsCitation":"Schenk, C.J., Klett, T.R., Tennyson, M.E., Mercier, T.J., Pitman, J.K., Gaswirth, S.B., Finn, T.M., Brownfield, M.E., Le, P.A., Leathers-Miller, H.M., and Marra, K.R., 2017, Assessment of continuous oil and gas resources in the Neuquén Basin Province, Argentina, 2016: U.S. Geological Survey Fact Sheet 2017–3025, 4 p., https://doi.org/10.3133/fs20173025.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-079155","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":341510,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173043\t","text":"Fact Sheet 2017–3043:","linkHelpText":" Assessment of Continuous Oil and Gas Resources in the San Jorge Basin Province, Argentina, 2017"},{"id":341509,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173042","text":"Fact Sheet 2017–3042: ","linkHelpText":"Assessment of Undiscovered Oil and Gas Resources in the Cuyo Basin Province, Argentina, 2017"},{"id":341449,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3025/coverthb.jpg"},{"id":341450,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3025/fs20173025.pdf","text":"Report","size":"816 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3025"}],"country":"Argentina","state":"Neuquén Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.818359375,\n -33.815666308702774\n ],\n [\n -69.49951171875,\n -34.03445260967644\n ],\n [\n -69.80712890625,\n -34.72355492704219\n ],\n [\n -70.33447265624999,\n -35.62158189955967\n ],\n [\n -70.42236328125,\n -36.27970720524016\n ],\n [\n -70.86181640625,\n -38.09998264736479\n ],\n [\n -70.77392578125,\n -39.77476948529546\n ],\n [\n -70.77392578125,\n -40.212440718286466\n ],\n [\n -69.93896484375,\n -40.44694705960048\n ],\n [\n -68.2470703125,\n -40.38002840251182\n ],\n [\n -65.91796875,\n -40.229218188701154\n ],\n [\n -65.72021484375,\n -39.87601941962115\n ],\n [\n -65.7421875,\n -39.21523130910491\n ],\n [\n -65.98388671875,\n -38.496593518947556\n ],\n [\n -66.24755859375,\n -38.01347623104191\n ],\n [\n -66.77490234375,\n -37.26530995561873\n ],\n [\n -67.3681640625,\n -36.120127589781454\n ],\n [\n -67.8955078125,\n -35.19176696594738\n ],\n [\n -68.466796875,\n -34.143634820312634\n ],\n [\n -68.818359375,\n -33.815666308702774\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
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The economic growth of an industrialized nation such as the United States requires raw materials for construction (buildings, bridges, highways, and so forth), defense, and processing and manufacture of goods and services. Since the beginning of the 20th century, the types and quantities of raw materials used have increased and changed significantly. This fact sheet quantifies the amounts of raw materials (other than food and fuel) that have been used in the U.S. economy annually for a period of 115 years, from 1900 through 2014. It provides a broad overview of the quantity (weight) of nonfood and nonfuel materials used in the economy and illustrates the use and significance of raw nonfuel minerals in particular as building blocks of society.
These data have been compiled to help the public and policymakers understand the changing annual flow of raw materials put into use in the United States. Such information can be helpful in assessing the potential effects of materials use on the environment, assessing materials’ intensity of use, and examining the role that these materials play in the economy. The data presented indicate the substitution and shift in materials usage from renewable to nonrenewable materials during the 20th century. The disaggregated quantities by commodity (not shown in this fact sheet) may be tested against supply adequacy and end of life issues.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173062","usgsCitation":"Matos, G.R., 2017, Use of raw materials in the United States from 1900 through 2014: U.S. Geological Survey Fact Sheet 2017–3062, 6 p., https://doi.org/10.3133/fs20173062. [Supersedes Fact Sheet 2012–3140.]","productDescription":"Report: 6 p.; 1 Table","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-083233","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":344924,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/fs/2017/3062/fs20173062_table1.xlsx","text":"Table 1","size":"128 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- U.S. raw materials put into use annually from 1900 through 2014, by category. 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U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov
The U.S. Geological Survey (USGS) serves the Nation by providing reliable scientific information to describe and understand the Earth; minimize loss of life and property from natural disasters; manage water, biological, energy, and mineral resources; and enhance and protect our quality of life. In support of this mission, the USGS Virginia and West Virginia Water Science Center works in cooperation with many entities to provide reliable, impartial scientific information to resource managers, planners, and the public.
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U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228