{"pageNumber":"1369","pageRowStart":"34200","pageSize":"25","recordCount":165415,"records":[{"id":70196789,"text":"70196789 - 2014 - Observations from borehole dilution logging experiments in fractured crystalline rock under variable hydraulic conditions","interactions":[],"lastModifiedDate":"2018-05-07T13:17:03","indexId":"70196789","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Observations from borehole dilution logging experiments in fractured crystalline rock under variable hydraulic conditions","docAbstract":"<p>Identifying hydraulically active fractures in low permeability, crystalline-bedrock aquifers requires a variety of geophysical and hydrogeophysical borehole tools and approaches. One such approach is Single Borehole Dilution Tests (SBDT), which in some low flow cases have been shown to provide greater resolution of borehole flow than other logging procedures, such as vertical differential Heat Pulse Flowmeter (HPFM) logging. Because the tools used in SBDT collect continuous profiles of water quality or dye changes, they can identify horizontal flow zones and vertical flow. We used SBDT with a food grade blue dye as a tracer and dual photometer-nephelometer measurements to identify low flow zones.</p><p>SBDT were conducted at seven wells with open boreholes (exceeding 300 ft). At most of the wells HPFM logs were also collected. The seven wells are set in low-permeability, fractured granite and gneiss rocks underlying a former tetrachloroeythylene (PCE) source area at the Savage Municipal Well Superfund site in Milford, NH. Time series SBDT logs were collected at each of the seven wells under three distinct hydraulic conditions: (1) ambient conditions prior to a pump test at an adjacent well, (2) mid test, after 2-3 days of the start of the pump test, and (3) at the end of the test, after 8-9 days of the pump test. None of the SBDT were conducted under pumping conditions in the logged well. For each condition, wells were initially passively spiked with blue dye once and subsequent time series measurements were made.</p><p>Measurement accuracy and precision of the photometer tool is important in SBDT when attempting to detect low rates of borehole flow. Tests indicate that under ambient conditions, none of the wells had detectable flow as measured with HPFM logging. With SBDT, 4 of the 7 showed the presence of some very low flow. None of 5 (2 of the 7 wells initially logged with HPFM under ambient conditions were not re-logged) wells logged with the HPFM during the pump test had detectable flow. However, 3 of the 5 wells showed the patterns of very low flow with SBDT during the pump test including pumping induced changes of inflow and outflow patterns at one well.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems 2014","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.4133/SAGEEP.27-034","usgsCitation":"Harte, P.T., Anderson, J.A., and Williams, J., 2014, Observations from borehole dilution logging experiments in fractured crystalline rock under variable hydraulic conditions, <i>in</i> Symposium on the application of geophysics to engineering and environmental problems 2014, p. 65-78, https://doi.org/10.4133/SAGEEP.27-034.","productDescription":"14 p.","startPage":"65","endPage":"78","ipdsId":"IP-052596","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":353977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-25","publicationStatus":"PW","scienceBaseUri":"5afeee0fe4b0da30c1bfc749","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, J. Alton 0000-0001-8426-2507 aanders@usgs.gov","orcid":"https://orcid.org/0000-0001-8426-2507","contributorId":139789,"corporation":false,"usgs":true,"family":"Anderson","given":"J.","email":"aanders@usgs.gov","middleInitial":"Alton","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":734417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70159455,"text":"70159455 - 2014 - Metals, organic compounds, and nutrients in Long Island Sound: sources, magnitudes, trends, and impacts","interactions":[],"lastModifiedDate":"2016-09-08T13:35:18","indexId":"70159455","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Metals, organic compounds, and nutrients in Long Island Sound: sources, magnitudes, trends, and impacts","docAbstract":"Long Island Sound (LIS) is a relatively shallow estuary with a mean depth of 20 m (maximum depth 49 m) and a unique hydrology and history of pollutant loading. Those factors have contributed to a wide variety of contamination problems in its muddy sediments, aquatic life and water column.  The LIS sediments are contaminated with a host of legacy and more recently released toxic compounds and elements related to past and present wastewater discharges and runoff. These include non-point and storm water runoff and groundwater discharges, whose character has changed over the years along with the evolution of its watershed and industrial history. Major impacts have resulted from the copious amounts of nutrients discharged into LIS through atmospheric deposition (N), domestic and industrial waste water flows, fertilizer releases, and urban runoff. All these sources and their effects are in essence the result of human presence and activities in the watershed, and the severity of pollutant loading and their impacts generally scales with total population in the watersheds surrounding LIS. Environmental legislation passed since the mid-to late 1900s (e.g., Clean Air Act, Clean Water Act) has had a beneficial effect, however, and contaminant loadings for many toxic organic and inorganic chemicals and nutrients have diminished over the last few decades  (O’Shea and Brosnan 2000; Trench, et al, 2012; O’Connor and Lauenstein 2006; USEPA 2007). Major strides have been made in reducing the inflow of nutrients into LIS, but cultural eutrophication is still an ongoing problem and nutrient control efforts will need to continue. Nonetheless, LIS is still a heavily human impacted estuary (an ‘Urban Estuary’, as described for San Francisco Bay by Conomos, 1979), and severe changes in water quality and sediment toxicity as well as ecosystem shifts have been witnessed over the relatively short period since European colonization in the early 1600s (Koppelman et al., 1976).\nThe main rivers that discharge into LIS are the East River in the west, the Housatonic and Connecticut rivers on the north, and the Thames River at the northeastern end of LIS, with the Quinnipiac and several other smaller rivers also coming in from Connecticut.  The East River is a tidal strait that connects LIS with New York Harbor through the heart of the New York City metropolitan region. The Housatonic, Quinnipiac, Connecticut and Thames river basins drain agricultural, urban and industrial lands in a watershed that extends from Connecticut north to Canada. The Sound receives contaminants from many sources within and outside its contributing watershed, including direct discharges from coastal industries, wastewater treatment plants (WWTP), urban runoff, and atmospheric deposition.  New England has a long history of industrial activity, with factories that once crowded its riverbanks and shores now having succumbed to economic forces that drove manufacturing overseas.  Relict deposits with legacy pollutants in upland sediments persist and combine with modern runoff sources from an increasingly densely populated watershed, and continue to be a source of contaminants for LIS. While toxic exposure from legacy and active sources has diminished over the years as wastewater treatment has improved and industries closed or moved away, pockets of contamination still have consequences for many embayments and coves, particularly near urbanized areas of western LIS. \nLoading of nutrients and carbon have been of recent concern in LIS because of the extensive impacts observed since the mid-1980s. Excess nutrients not only create inhospitable conditions for higher forms of aquatic life through reduced oxygen levels and disrupting trophic dynamics, but also by altering the local biogeochemistry. As a result, the release of toxic substances into the water column may be enhanced in hypoxic waters, thus exerting a toxic effect or enhancing incorporation of toxic pollutants into the food we","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Long Island Sound","language":"English","publisher":"Springer","doi":"10.1007/978-1-4614-6126-5","usgsCitation":"Mullaney, J.R., Varekamp, J., MCElroy, A., and Brsslin, V., 2014, Metals, organic compounds, and nutrients in Long Island Sound: sources, magnitudes, trends, and impacts, chap. <i>of</i> Long Island Sound, p. 203-283, https://doi.org/10.1007/978-1-4614-6126-5.","productDescription":"81 p. ","startPage":"203","endPage":"283","ipdsId":"IP-039513","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":328402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":310828,"type":{"id":15,"text":"Index Page"},"url":"https://www.springer.com/us/book/9781461461258"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28baee4b0571647d0f938","contributors":{"authors":[{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":578781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varekamp, J.C.","contributorId":56006,"corporation":false,"usgs":true,"family":"Varekamp","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":578784,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"MCElroy, A.E.","contributorId":149545,"corporation":false,"usgs":false,"family":"MCElroy","given":"A.E.","affiliations":[{"id":17767,"text":"SUNY Stoneybrook","active":true,"usgs":false}],"preferred":false,"id":578783,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Brsslin, V.T.","contributorId":149544,"corporation":false,"usgs":false,"family":"Brsslin","given":"V.T.","email":"","affiliations":[{"id":17766,"text":"Southern Connecticut Univ.","active":true,"usgs":false}],"preferred":false,"id":578782,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70136244,"text":"70136244 - 2014 - The case for a modern multiwavelength, polarization-sensitive LIDAR in orbit around Mars","interactions":[],"lastModifiedDate":"2015-03-18T11:13:04","indexId":"70136244","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3850,"text":"Journal of Quantitative Spectroscopy and Radiative Transfer","active":true,"publicationSubtype":{"id":10}},"title":"The case for a modern multiwavelength, polarization-sensitive LIDAR in orbit around Mars","docAbstract":"<p>We present the scientific case to build a multiple-wavelength, active, near-infrared (NIR) instrument to measure the reflected intensity and polarization characteristics of backscattered radiation from planetary surfaces and atmospheres. We focus on the ability of such an instrument to enhance, perhaps revolutionize, our understanding of climate, volatiles and astrobiological potential of modern-day Mars.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jqsrt.2014.10.021","usgsCitation":"Brown, A.J., Michaels, T.I., Byrne, S., Sun, W., Titus, T.N., Colaprete, A., Wolff, M.J., Videen, G., and Grund, C.J., 2014, The case for a modern multiwavelength, polarization-sensitive LIDAR in orbit around Mars: Journal of Quantitative Spectroscopy and Radiative Transfer, v. 115, p. 131-143, https://doi.org/10.1016/j.jqsrt.2014.10.021.","productDescription":"13 p.","startPage":"131","endPage":"143","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057073","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":473282,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1406.0030","text":"External Repository"},{"id":298701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"550aa1c0e4b02e76d7590c0a","contributors":{"authors":[{"text":"Brown, Adrian J.","contributorId":106032,"corporation":false,"usgs":true,"family":"Brown","given":"Adrian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":537239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michaels, Timothy I.","contributorId":38883,"corporation":false,"usgs":true,"family":"Michaels","given":"Timothy","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":537240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrne, Shane","contributorId":53513,"corporation":false,"usgs":false,"family":"Byrne","given":"Shane","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":537241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sun, Wenbo","contributorId":131093,"corporation":false,"usgs":false,"family":"Sun","given":"Wenbo","email":"","affiliations":[{"id":7239,"text":"Science Systems and Applications, Inc.","active":true,"usgs":false}],"preferred":false,"id":537242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":537238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Colaprete, Anthony","contributorId":62079,"corporation":false,"usgs":true,"family":"Colaprete","given":"Anthony","affiliations":[],"preferred":false,"id":537243,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wolff, Michael J.","contributorId":131094,"corporation":false,"usgs":false,"family":"Wolff","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":7038,"text":"Space Science Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":537244,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Videen, Gorden","contributorId":131095,"corporation":false,"usgs":false,"family":"Videen","given":"Gorden","email":"","affiliations":[{"id":7038,"text":"Space Science Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":537245,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grund, Christian J.","contributorId":139712,"corporation":false,"usgs":false,"family":"Grund","given":"Christian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":542649,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70187636,"text":"70187636 - 2014 - Combined global change effects on ecosystem processesin nine U.S. topographically complex areas","interactions":[],"lastModifiedDate":"2018-03-16T10:20:44","indexId":"70187636","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Combined global change effects on ecosystem processesin nine U.S. topographically complex areas","docAbstract":"<p><span>Concurrent changes in climate, atmospheric nitrogen (N) deposition, and increasing levels of atmospheric carbon dioxide (CO</span><sub>2</sub><span>) affect ecosystems in complex ways. The DayCent-Chem model was used to investigate the combined effects of these human-caused drivers of change over the period 1980–2075 at seven forested montane and two alpine watersheds in the United States. Net ecosystem production (NEP) increased linearly with increasing N deposition for six out of seven forested watersheds; warming directly increased NEP at only two of these sites. Warming reduced soil organic carbon storage at all sites by increasing heterotrophic respiration. At most sites, warming together with high N deposition increased nitrous oxide (N</span><sub>2</sub><span>O) emissions enough to negate the greenhouse benefit of soil carbon sequestration alone, though there was a net greenhouse gas sink across nearly all sites mainly due to the effect of CO</span><sub>2</sub><span> fertilization and associated sequestration by plants. Over the simulation period, an increase in atmospheric CO</span><sub>2</sub><span> from 350 to 600&nbsp;ppm was the main driver of change in net ecosystem greenhouse gas sequestration at all forested sites and one of two alpine sites, but an additional increase in CO</span><sub>2</sub><span> from 600 to 760&nbsp;ppm produced smaller effects. Warming either increased or decreased net greenhouse gas sequestration, depending on the site. The N contribution to net ecosystem greenhouse gas sequestration averaged across forest sites was only 5–7&nbsp;% and was negligible for the alpine. Stream nitrate (NO</span><sub>3</sub><sup>−</sup><span>) fluxes increased sharply with N-loading, primarily at three watersheds where initial N deposition values were high relative to terrestrial N uptake capacity. The simulated results displayed fewer synergistic responses to warming, N-loading, and CO</span><sub>2</sub><span> fertilization than expected. Overall, simulations with DayCent-Chem suggest individual site characteristics and historical patterns of N deposition are important determinants of forest or alpine ecosystem responses to global change.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-014-9950-9","usgsCitation":"Hartman, M.D., Baron, J., Ewing, H.A., and Weathers, K., 2014, Combined global change effects on ecosystem processesin nine U.S. topographically complex areas: Biogeochemistry, v. 119, no. 1, p. 85-108, https://doi.org/10.1007/s10533-014-9950-9.","productDescription":"24 p.","startPage":"85","endPage":"108","ipdsId":"IP-071832","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":341157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"119","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-01-25","publicationStatus":"PW","scienceBaseUri":"5915495fe4b01a342e691301","contributors":{"authors":[{"text":"Hartman, Melannie D.","contributorId":98836,"corporation":false,"usgs":true,"family":"Hartman","given":"Melannie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":694872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baron, Jill S. 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":174080,"corporation":false,"usgs":true,"family":"Baron","given":"Jill S.","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":694871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ewing, Holly A.","contributorId":191962,"corporation":false,"usgs":false,"family":"Ewing","given":"Holly","email":"","middleInitial":"A.","affiliations":[{"id":33413,"text":"Bates College","active":true,"usgs":false}],"preferred":false,"id":694874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weathers, Kathleen","contributorId":191961,"corporation":false,"usgs":false,"family":"Weathers","given":"Kathleen","affiliations":[{"id":7188,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY, USA","active":true,"usgs":false}],"preferred":false,"id":694873,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191613,"text":"70191613 - 2014 - Potential fitness benefits of the half-pounder life history in Klamath River steelhead","interactions":[],"lastModifiedDate":"2017-10-17T14:58:08","indexId":"70191613","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Potential fitness benefits of the half-pounder life history in Klamath River steelhead","docAbstract":"<p><span>Steelhead&nbsp;</span><i>Oncorhynchus mykiss</i><span><span>&nbsp;</span>from several of the world's rivers display the half-pounder life history, a variant characterized by an amphidromous (and, less often, anadromous) return to freshwater in the year of initial ocean entry. We evaluated factors related to expression of the half-pounder life history in wild steelhead from the lower Klamath River basin, California. We also evaluated fitness consequences of the half-pounder phenotype using a simple life history model that was parameterized with our empirical data and outputs from a regional survival equation. The incidence of the half-pounder life history differed among subbasins of origin and smolt ages. Precocious maturation occurred in approximately 8% of half-pounders and was best predicted by individual length in freshwater preceding ocean entry. Adult steelhead of the half-pounder phenotype were smaller and less fecund at age than adult steelhead of the alternative (ocean contingent) phenotype. However, our data suggest that fish of the half-pounder phenotype are more likely to spawn repeatedly than are fish of the ocean contingent phenotype. Models predicted that if lifetime survivorship were equal between phenotypes, the fitness of the half-pounder phenotype would be 17–28% lower than that of the ocean contingent phenotype. To meet the condition of equal fitness between phenotypes would require that first-year ocean survival be 21–40% higher among half-pounders in freshwater than among their cohorts at sea. We concluded that continued expression of the half-pounder phenotype is favored by precocious maturation and increased survival relative to that of the ocean contingent phenotype.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.892536","usgsCitation":"Hodge, B.W., Wilzbach, P., and Duffy, W.G., 2014, Potential fitness benefits of the half-pounder life history in Klamath River steelhead: Transactions of the American Fisheries Society, v. 143, no. 4, p. 864-875, https://doi.org/10.1080/00028487.2014.892536.","productDescription":"12 p.","startPage":"864","endPage":"875","ipdsId":"IP-051296","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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,\n              40.5\n            ],\n            [\n              -122,\n              40.5\n            ],\n            [\n              -122,\n              42\n            ],\n            [\n              -124,\n              42\n            ],\n            [\n              -124,\n              40.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"143","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-06-16","publicationStatus":"PW","scienceBaseUri":"59e71695e4b05fe04cd331e1","contributors":{"authors":[{"text":"Hodge, Brian W.","contributorId":172966,"corporation":false,"usgs":false,"family":"Hodge","given":"Brian","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":712932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilzbach, Peggy 0000-0002-3559-3630 paw7002@usgs.gov","orcid":"https://orcid.org/0000-0002-3559-3630","contributorId":3908,"corporation":false,"usgs":true,"family":"Wilzbach","given":"Peggy","email":"paw7002@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":712866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duffy, Walter G. wgd7001@usgs.gov","contributorId":2491,"corporation":false,"usgs":true,"family":"Duffy","given":"Walter","email":"wgd7001@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":false,"id":712933,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70147947,"text":"70147947 - 2014 - Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities","interactions":[],"lastModifiedDate":"2015-05-08T16:55:20","indexId":"70147947","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities","docAbstract":"<p><span>Conservation efforts for threatened or endangered species are challenging because the multi-scale factors that relate to their decline or inhibit their recovery are often unknown. To further exacerbate matters, the perceptions associated with the mechanisms of species decline are often viewed myopically rather than across the entire species range. We used over 80&nbsp;years of fish presence data collected from the Great Plains and associated ecoregions of the United States, to investigate the relative influence of changing environmental factors on the historic and current truncated distributions of the Arkansas River shiner&nbsp;</span><i>Notropis girardi</i><span>. Arkansas River shiner represent a threatened reproductive ecotype considered especially well adapted to the harsh environmental extremes of the Great Plains. Historic (</span><i>n</i><span>&nbsp;=&nbsp;163 records) and current (</span><i>n</i><span>&nbsp;=&nbsp;47 records) species distribution models were constructed using a vector-based approach in MaxEnt by splitting the available data at a time when Arkansas River shiner dramatically declined. Discharge and stream order were significant predictors in both models; however, the shape of the relationship between the predictors and species presence varied between time periods. Drift distance (river fragment length available for ichthyoplankton downstream drift before meeting a barrier) was a more important predictor in the current model and indicated river segments 375&ndash;780&nbsp;km had the highest probability of species presence. Performance for the historic and current models was high (area under the curve; AUC&nbsp;&gt;&nbsp;0.95); however, forecasting and backcasting to alternative time periods suggested less predictive power. Our results identify fragments that could be considered refuges for endemic plains fish species and we highlight significant environmental factors (e.g., discharge) that could be manipulated to aid recovery.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12329","usgsCitation":"Worthington, T.A., Brewer, S.K., Grabowski, T.B., and Mueller, J., 2014, Backcasting the decline of a vulnerable Great Plains reproductive ecotype: identifying threats and conservation priorities: Global Change Biology, v. 20, no. 1, p. 89-102, https://doi.org/10.1111/gcb.12329.","productDescription":"14 p.","startPage":"89","endPage":"102","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045497","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.9736328125,\n              34.052659421375964\n            ],\n            [\n              -107.9736328125,\n              40.245991504199026\n            ],\n            [\n              -91.49414062499999,\n              40.245991504199026\n            ],\n            [\n              -91.49414062499999,\n              34.052659421375964\n            ],\n            [\n              -107.9736328125,\n              34.052659421375964\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-16","publicationStatus":"PW","scienceBaseUri":"554dde29e4b082ec54129f19","contributors":{"authors":[{"text":"Worthington, Thomas A.","contributorId":140662,"corporation":false,"usgs":false,"family":"Worthington","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":546500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Julia","contributorId":140663,"corporation":false,"usgs":false,"family":"Mueller","given":"Julia","affiliations":[],"preferred":false,"id":546503,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70123296,"text":"fs20143090 - 2014 - Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2011–13","interactions":[],"lastModifiedDate":"2017-10-30T11:20:08","indexId":"fs20143090","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","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":"2014-3090","title":"Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2011–13","docAbstract":"The U.S. Geological Survey (USGS) monitors water quality and suspended-sediment transport in the San Francisco Bay. The San Francisco Bay area is home to millions of people, and the bay teems with both resident and migratory wildlife, plants, and fish. Fresh water mixes with salt water in the bay, which is subject both to riverine and marine (tides, waves, influx of salt water) influences. To understand this environment, the USGS, along with its partners, has been monitoring the bay’s waters continuously since 1988. Several water-quality variables are of particular importance to State and Federal resource managers and are monitored at key locations throughout the bay. Salinity, which indicates the relative mixing of fresh and ocean waters in the bay, is derived from specific conductance measurements. Water temperature, along with salinity, affects the density of water, which causes gravity driven circulation patterns and stratification in the water column. Turbidity is measured using light-scattering from suspended solids in water, and is used as a surrogate for suspended-sediment concentration (SSC). Suspended sediment often carries adsorbed contaminants; attenuates sunlight in the water column; deposits on tidal marsh and intertidal mudflats, which can help sustain these habitats as sea level rises; and deposits in ports and shipping channels, which can necessitate dredging. Dissolved oxygen, which is essential to a healthy ecosystem, is a fundamental indicator of water quality, and its concentration is affected by water temperature, salinity, ecosystem metabolism, tidal currents, and wind. Tidal currents in the bay reverse four times a day, and wind direction and intensity typically change on a daily cycle: consequently, salinity, water temperature, suspendedsediment concentration, and dissolvedoxygen concentration vary spatially and temporally throughout the bay, and continuous measurements are needed to observe these changes. The purpose of this fact sheet is to inform the public and resource managers of the availability of these water-quality data.\r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143090","usgsCitation":"Buchanan, P.A., Downing-Kunz, M.A., Schoellhamer, D., Shellenbarger, G., and Weidich, K., 2014, Continuous water-quality and suspended-sediment transport monitoring in the San Francisco Bay, California, water years 2011–13: U.S. Geological Survey Fact Sheet 2014-3090, 4 p., https://doi.org/10.3133/fs20143090.","productDescription":"4 p.","ipdsId":"IP-050934","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":294438,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3090/"},{"id":347671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":347670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3090/pdf/fs2014-3090.pdf"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.01391601562499,\n              37.29153547292737\n            ],\n            [\n              -121.33300781249999,\n              37.29153547292737\n            ],\n            [\n              -121.33300781249999,\n              38.35027253825765\n            ],\n            [\n              -123.01391601562499,\n              38.35027253825765\n            ],\n            [\n              -123.01391601562499,\n              37.29153547292737\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5423cf09e4b037b608f9d3b9","contributors":{"authors":[{"text":"Buchanan, Paul A. 0000-0002-4796-4734 buchanan@usgs.gov","orcid":"https://orcid.org/0000-0002-4796-4734","contributorId":1018,"corporation":false,"usgs":true,"family":"Buchanan","given":"Paul","email":"buchanan@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downing-Kunz, Maureen A. 0000-0002-4879-0318 mdowning-kunz@usgs.gov","orcid":"https://orcid.org/0000-0002-4879-0318","contributorId":3690,"corporation":false,"usgs":true,"family":"Downing-Kunz","given":"Maureen","email":"mdowning-kunz@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shellenbarger, Gregory gshellen@usgs.gov","contributorId":1133,"corporation":false,"usgs":true,"family":"Shellenbarger","given":"Gregory","email":"gshellen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519348,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weidich, Kurt kweidich@usgs.gov","contributorId":5922,"corporation":false,"usgs":true,"family":"Weidich","given":"Kurt","email":"kweidich@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70147912,"text":"70147912 - 2014 - Evidence of natural reproduction by Muskellunge in middle Tennessee rivers","interactions":[],"lastModifiedDate":"2015-05-08T10:49:54","indexId":"70147912","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of natural reproduction by Muskellunge in middle Tennessee rivers","docAbstract":"<p><span>Native&nbsp;</span><i>Esox masquinongy</i><span>&nbsp;(Muskellunge) in the Cumberland River drainage, TN, were nearly extirpated in the 1970s due to decades of over-fishing and habitat degradation from coal mining, logging, and other land-use practices. In an effort to preserve the species in that drainage, a stocking program began in 1976 in the upper Caney Fork River system in middle Tennessee where Muskellunge were not native. A trophy Muskellunge fishery eventually developed, but it was unknown whether Muskellunge were reproducing in the upper Caney Fork River system or whether the fishery was wholly dependent on the stocking program. To establish evidence of natural reproduction, we used seines, backpack electrofishing, and boat electrofishing gear in 2012 to find age-0 Muskellunge in the upper Caney Fork River system. Natural reproduction of Muskellunge was documented in the mainstem Caney Fork River above Great Falls Dam and in 3 of its 4 major tributaries. Seventeen age-0 Muskellunge were collected and one other was observed, but not handled. Age-0 Muskellunge grew rapidly (1.80&ndash;2.34 mm/day), and the largest fish collected during the study reached a total length of 399 mm by 9 October 2012. A cessation of stocking for several years coupled with routine monitoring could reveal whether natural recruitment is sufficient to sustain the fishery.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.013.0310","usgsCitation":"Warren, L.H., and Bettoli, P.W., 2014, Evidence of natural reproduction by Muskellunge in middle Tennessee rivers: Southeastern Naturalist, v. 13, no. 3, p. 506-514, https://doi.org/10.1656/058.013.0310.","productDescription":"9 p.","startPage":"506","endPage":"514","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049494","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Caney Fork River system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.74691772460938,\n              35.90184367860064\n            ],\n            [\n              -85.71601867675781,\n              35.90017506551962\n            ],\n            [\n              -85.69061279296875,\n              35.883487000049925\n            ],\n            [\n              -85.68374633789062,\n              35.8723596690896\n            ],\n            [\n              -85.68099975585938,\n              35.85455268869835\n            ],\n            [\n              -85.69198608398438,\n              35.84175145058553\n            ],\n            [\n              -85.70091247558592,\n              35.82727799765747\n            ],\n            [\n              -85.67207336425781,\n              35.809460893017786\n            ],\n            [\n              -85.67276000976562,\n              35.79665237938975\n            ],\n            [\n              -85.70640563964844,\n              35.79108281624994\n            ],\n            [\n              -85.71601867675781,\n              35.77660012521549\n            ],\n            [\n              -85.72563171386719,\n              35.763786314534315\n            ],\n            [\n              -85.73661804199219,\n              35.74428307651204\n            ],\n            [\n              -85.74417114257812,\n              35.728119630012245\n            ],\n            [\n              -85.74966430664062,\n              35.703031925256354\n            ],\n            [\n              -85.77850341796875,\n              35.689648586960935\n            ],\n            [\n              -85.79360961914062,\n              35.68351380631503\n            ],\n            [\n              -85.78742980957031,\n              35.66399091134812\n            ],\n            [\n              -85.76202392578125,\n              35.66901154043787\n            ],\n            [\n              -85.74211120605469,\n              35.67403185377907\n            ],\n            [\n              -85.72494506835936,\n              35.68462925606809\n            ],\n            [\n              -85.70709228515625,\n              35.69243696765708\n            ],\n            [\n              -85.70297241210938,\n              35.706377408871774\n            ],\n            [\n              -85.71739196777344,\n              35.72477505905892\n            ],\n            [\n              -85.71121215820312,\n              35.73369360286466\n            ],\n            [\n              -85.69061279296875,\n              35.73592308277646\n            ],\n            [\n              -85.68168640136719,\n              35.747069546016\n            ],\n            [\n              -85.6878662109375,\n              35.754871141690366\n            ],\n            [\n              -85.67825317382812,\n              35.77047203855886\n            ],\n            [\n              -85.66795349121094,\n              35.77214338175441\n            ],\n            [\n              -85.6494140625,\n              35.777157200584675\n            ],\n            [\n              -85.61439514160156,\n              35.743725770906416\n            ],\n            [\n              -85.60752868652342,\n              35.73369360286466\n            ],\n            [\n              -85.60684204101562,\n              35.69968630125201\n            ],\n            [\n              -85.59997558593749,\n              35.68909089912437\n            ],\n            [\n              -85.57868957519531,\n              35.701359130802444\n            ],\n            [\n              -85.5780029296875,\n              35.73592308277646\n            ],\n            [\n              -85.56907653808594,\n              35.74205383068034\n            ],\n            [\n              -85.550537109375,\n              35.75431391021905\n            ],\n            [\n              -85.55740356445312,\n              35.76155761497843\n            ],\n            [\n              -85.56976318359375,\n              35.76712924679367\n            ],\n            [\n              -85.59104919433594,\n              35.773814689824356\n            ],\n            [\n              -85.59310913085938,\n              35.782170703266075\n            ],\n            [\n              -85.58761596679688,\n              35.78885488168885\n            ],\n            [\n              -85.57319641113281,\n              35.78996885677669\n            ],\n            [\n              -85.550537109375,\n              35.78662688467009\n            ],\n            [\n              -85.53749084472655,\n              35.787740890986576\n            ],\n            [\n              -85.49972534179688,\n              35.78941187118459\n            ],\n            [\n              -85.45852661132812,\n              35.79999392988527\n            ],\n            [\n              -85.42625427246094,\n              35.80862561812983\n            ],\n            [\n              -85.41423797607422,\n              35.809460893017786\n            ],\n            [\n              -85.40119171142578,\n              35.807790334456776\n            ],\n            [\n              -85.38917541503905,\n              35.796930847299066\n            ],\n            [\n              -85.37818908691406,\n              35.7896903644686\n            ],\n            [\n              -85.3586196899414,\n              35.78244922192265\n            ],\n            [\n              -85.31021118164062,\n              35.75849305114017\n            ],\n            [\n              -85.30712127685547,\n              35.75988604933661\n            ],\n            [\n              -85.29956817626953,\n              35.758214448574186\n            ],\n            [\n              -85.29441833496094,\n              35.76824352632614\n            ],\n            [\n              -85.2923583984375,\n              35.77799280632021\n            ],\n            [\n              -85.2923583984375,\n              35.78384180056804\n            ],\n            [\n              -85.29132843017578,\n              35.80695504199865\n            ],\n            [\n              -85.28480529785156,\n              35.84564769832635\n            ],\n            [\n              -85.29991149902344,\n              35.86456960744962\n            ],\n            [\n              -85.31021118164062,\n              35.86790829906797\n            ],\n            [\n              -85.33699035644531,\n              35.87514164836414\n            ],\n            [\n              -85.36720275878906,\n              35.89461276785915\n            ],\n            [\n              -85.39466857910156,\n              35.88571227867025\n            ],\n            [\n              -85.42076110839842,\n              35.870134015336994\n            ],\n            [\n              -85.43312072753906,\n              35.861230775178285\n            ],\n            [\n              -85.43724060058594,\n              35.83618505037661\n            ],\n            [\n              -85.45440673828125,\n              35.83228833783694\n            ],\n            [\n              -85.48667907714844,\n              35.82727799765747\n            ],\n            [\n              -85.50178527832031,\n              35.82338084770657\n            ],\n            [\n              -85.50659179687499,\n              35.826164545769274\n            ],\n            [\n              -85.53474426269531,\n              35.817813158696616\n            ],\n            [\n              -85.56221008300781,\n              35.811131416437966\n            ],\n            [\n              -85.59379577636719,\n              35.81224507919506\n            ],\n            [\n              -85.62881469726562,\n              35.82449433864731\n            ],\n            [\n              -85.61988830566406,\n              35.846760876811395\n            ],\n            [\n              -85.61851501464844,\n              35.87847989454576\n            ],\n            [\n              -85.61988830566406,\n              35.89350026142572\n            ],\n            [\n              -85.63430786132812,\n              35.90963007449912\n            ],\n            [\n              -85.64872741699219,\n              35.923532447182374\n            ],\n            [\n              -85.64323425292969,\n              35.930204718146754\n            ],\n            [\n              -85.65559387207031,\n              35.94187983750328\n            ],\n            [\n              -85.66658020019531,\n              35.95077400904294\n            ],\n            [\n              -85.68099975585938,\n              35.95633235784589\n            ],\n            [\n              -85.704345703125,\n              35.95966717939459\n            ],\n            [\n              -85.726318359375,\n              35.95911138558121\n            ],\n            [\n              -85.75309753417969,\n              35.955220719373614\n            ],\n            [\n              -85.76614379882812,\n              35.95077400904294\n            ],\n            [\n              -85.76339721679686,\n              35.9374323763197\n            ],\n            [\n              -85.75653076171875,\n              35.91074235422712\n            ],\n            [\n              -85.74829101562499,\n              35.90406844132011\n            ],\n            [\n              -85.74691772460938,\n              35.90184367860064\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"554dde2be4b082ec54129f1f","contributors":{"authors":[{"text":"Warren, Lila H.","contributorId":140643,"corporation":false,"usgs":false,"family":"Warren","given":"Lila","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":546387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546368,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70160725,"text":"70160725 - 2014 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013","interactions":[],"lastModifiedDate":"2016-10-20T10:06:45","indexId":"70160725","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013","docAbstract":"<p>In 2013, the U.S. Geological Survey’s Lake Erie Biological Station successfully completed large vessel surveys in all three of Lake Erie’s basins. Lake Erie Biological Station’s primary vessel surveys included the Western Basin Forage Fish Assessment and East Harbor Forage Fish Assessment as well as contributing to the cooperative multi-agency Central Basin Hydroacoustics Assessment and the Eastern Basin Coldwater Community Assessment (see Forage Task Group and Coldwater Task Group reports, respectively). Further large vessel sampling included individual research data collection as well as assisting with University (e.g., University of Toledo) and agency (e.g., USFWS, USEPA) large vessel sampling needs. Our 2013 vessel operations began on April 4th and concluded on November 21 with a total of 77 large vessel sampling days (83 total days). During this time, crews of the R/V Muskie and R/V Bowfin deployed 174 trawls covering 147 km of lake-bottom, over 13 km of gillnet, collected hydroacoustic data that extended over 250 km of the central and eastern basins, and approximately 180 collective zooplankton, benthos, and water samples. </p><p>2013 was the first complete sampling year using the R/V Muskie. Technologies available on the new platform provided opportunities for LEBS to improve data sampling methods and results. An investment was made in mensuration gear for the trawls. This gear is attached to the trawl’s headrope, footrope, and wings; thus, allowing measurement of the area swept and conversion of catches to densities. Another improvement included real-time output of water parameter sonde profiles (e.g., temperature, dissolved oxygen). The ability to view profile data on a tablet allowed quick identification of thermoclines as well as the presence (or absence) of hypoxia. Minor modifications were made to survey designs relative to last year (see 2013 report), and thus, collection of long-term data from the R/V Muskie has commenced. One minor change was that we are now indexing yellow perch maturation data during our fall trawl surveys in response to a request from the Lake Erie Yellow Perch Task Group. Within the following sections, we describe results from our 2013 sampling efforts in Lake Erie. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Compiled Reports to the Great Lakes Fishery Commission of the Annual Bottom Trawl and Acoustic Surveys, 2013","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Kraus, R.T., Rogers, M.W., Kocovsky, P., Edwards, W., Bodamer Scarbro, B.L., Keretz, K.R., and Berkman, S.A., 2014, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2013, 43 p.","productDescription":"43 p.","startPage":"3","endPage":"45","ipdsId":"IP-055461","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":330112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":313004,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/lakecom/common_docs/Compiled%20Reports%20from%20USGS%202014.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5809d7c4e4b0f497e78fca73","contributors":{"authors":[{"text":"Kraus, Richard T. 0000-0003-4494-1841 rkraus@usgs.gov","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":2609,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","email":"rkraus@usgs.gov","middleInitial":"T.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":583695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":583696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, William wedwards@usgs.gov","contributorId":3668,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"wedwards@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodamer Scarbro, Betsy L. 0000-0002-9022-7027 bbodamerscarbro@usgs.gov","orcid":"https://orcid.org/0000-0002-9022-7027","contributorId":5857,"corporation":false,"usgs":true,"family":"Bodamer Scarbro","given":"Betsy","email":"bbodamerscarbro@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keretz, Kevin R. 0000-0002-4808-8350 kkeretz@usgs.gov","orcid":"https://orcid.org/0000-0002-4808-8350","contributorId":5859,"corporation":false,"usgs":true,"family":"Keretz","given":"Kevin","email":"kkeretz@usgs.gov","middleInitial":"R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583701,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Berkman, Stephanie A. sberkman@usgs.gov","contributorId":5858,"corporation":false,"usgs":true,"family":"Berkman","given":"Stephanie","email":"sberkman@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583700,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70147911,"text":"70147911 - 2014 - Development of a multimetric index for fish assemblages in a cold tailwater in Tennessee","interactions":[],"lastModifiedDate":"2015-05-08T11:03:49","indexId":"70147911","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Development of a multimetric index for fish assemblages in a cold tailwater in Tennessee","docAbstract":"<p><span>Tailwaters downstream of hypolimnetic-release hydropeaking dams exhibit a unique combination of stressors that affects the structure and function of resident fish assemblages. We developed a statistically and biologically defensible multimetric index of fish assemblages for the Caney Fork River below Center Hill Dam, Tennessee. Fish assemblages were sampled at five sites using boat-mounted and backpack electrofishing gear from fall 2009 through summer 2011. A multivariate statistical approach was used to select metrics that best reflected the downstream gradients in abiotic variables. Five metrics derived from boat electrofishing samples and four metrics derived from backpack electrofishing samples were selected for incorporation into the index based on their high correlation with environmental data. The nine metrics demonstrated predictable patterns of increase or decrease with increasing distance downstream of the dam. The multimetric index generally exhibited a pattern of increasing scores with increasing distance from the dam, indicating a downstream recovery gradient in fish assemblage composition. The index can be used to monitor anticipated changes in the fish communities of the Caney Fork River when repairs to Center Hill Dam are completed later this decade, resulting in altered dam operations.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2013.866982","usgsCitation":"Ivasauskas, T.J., and Bettoli, P.W., 2014, Development of a multimetric index for fish assemblages in a cold tailwater in Tennessee: Transactions of the American Fisheries Society, v. 143, no. 2, p. 495-507, https://doi.org/10.1080/00028487.2013.866982.","productDescription":"13 p.","startPage":"495","endPage":"507","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049161","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Caney Fork River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.9457015991211,\n              36.2390120775093\n            ],\n            [\n              -85.93334197998047,\n              36.23596601136001\n            ],\n            [\n              -85.92304229736328,\n              36.23928898672854\n            ],\n            [\n              -85.9192657470703,\n              36.24261182084873\n            ],\n            [\n              -85.91377258300781,\n              36.24704204661377\n            ],\n            [\n              -85.9075927734375,\n              36.24593451371545\n            ],\n            [\n              -85.90827941894531,\n              36.24205802497115\n            ],\n            [\n              -85.91239929199219,\n              36.2365198503968\n            ],\n            [\n              -85.9134292602539,\n              36.230427405208005\n            ],\n            [\n              -85.91411590576172,\n              36.22599623781621\n            ],\n            [\n              -85.91892242431639,\n              36.21934901597362\n            ],\n            [\n              -85.92166900634766,\n              36.21630218384659\n            ],\n            [\n              -85.92681884765624,\n              36.22350359582348\n            ],\n            [\n              -85.93402862548828,\n              36.22627319313392\n            ],\n            [\n              -85.94123840332031,\n              36.227934904444396\n            ],\n            [\n              -85.94947814941406,\n              36.221841790362404\n            ],\n            [\n              -85.95359802246094,\n              36.21602519322388\n            ],\n            [\n              -85.95256805419922,\n              36.208546075738184\n            ],\n            [\n              -85.94123840332031,\n              36.201066243425515\n            ],\n            [\n              -85.9127426147461,\n              36.193862766389856\n            ],\n            [\n              -85.90862274169922,\n              36.19192325548814\n            ],\n            [\n              -85.90587615966797,\n              36.18970661277785\n            ],\n            [\n              -85.9134292602539,\n              36.184441834883025\n            ],\n            [\n              -85.9127426147461,\n              36.17917670310116\n            ],\n            [\n              -85.90827941894531,\n              36.17169406500341\n            ],\n            [\n              -85.89488983154297,\n              36.16587374136926\n            ],\n            [\n              -85.8797836303711,\n              36.159498605271835\n            ],\n            [\n              -85.87394714355469,\n              36.153954587253395\n            ],\n            [\n              -85.87909698486328,\n              36.14979631649761\n            ],\n            [\n              -85.87841033935547,\n              36.14341987311765\n            ],\n            [\n              -85.87257385253905,\n              36.13842925151492\n            ],\n            [\n              -85.86845397949219,\n              36.13787471840729\n            ],\n            [\n              -85.86536407470703,\n              36.143142624690505\n            ],\n            [\n              -85.85884094238281,\n              36.147578481941316\n            ],\n            [\n              -85.84888458251952,\n              36.14480610055564\n            ],\n            [\n              -85.83995819091797,\n              36.1439743670324\n            ],\n            [\n              -85.83137512207031,\n              36.13759745038377\n            ],\n            [\n              -85.82382202148438,\n              36.13482471626102\n            ],\n            [\n              -85.8145523071289,\n              36.13759745038377\n            ],\n            [\n              -85.80665588378906,\n              36.138706516599036\n            ],\n            [\n              -85.81764221191405,\n              36.13038813787679\n            ],\n            [\n              -85.8262252807617,\n              36.12650592605171\n            ],\n            [\n              -85.83858489990234,\n              36.13205188416276\n            ],\n            [\n              -85.84167480468749,\n              36.12789245231785\n            ],\n            [\n              -85.84545135498047,\n              36.121236902880185\n            ],\n            [\n              -85.84888458251952,\n              36.11541283425664\n            ],\n            [\n              -85.85506439208984,\n              36.110143066608245\n            ],\n            [\n              -85.85506439208984,\n              36.10237644873644\n            ],\n            [\n              -85.84648132324219,\n              36.10071207357713\n            ],\n            [\n              -85.83755493164062,\n              36.09904766316007\n            ],\n            [\n              -85.83000183105469,\n              36.09627356744957\n            ],\n            [\n              -85.82313537597656,\n              36.0987702579961\n            ],\n            [\n              -85.8251953125,\n              36.10126686921446\n            ],\n            [\n              -85.8358383178711,\n              36.10459556076901\n            ],\n            [\n              -85.85163116455078,\n              36.10847885599375\n            ],\n            [\n              -85.84476470947266,\n              36.11208460109187\n            ],\n            [\n              -85.83824157714844,\n              36.12650592605171\n            ],\n            [\n              -85.83480834960938,\n              36.12650592605171\n            ],\n            [\n              -85.82897186279297,\n              36.12151422870585\n            ],\n            [\n              -85.82141876220703,\n              36.12262352221241\n            ],\n            [\n              -85.81283569335938,\n              36.12650592605171\n            ],\n            [\n              -85.80081939697266,\n              36.13260645842031\n            ],\n            [\n              -85.79944610595703,\n              36.14203362118349\n            ],\n            [\n              -85.8035659790039,\n              36.14508334310362\n            ],\n            [\n              -85.81077575683594,\n              36.145915064868454\n            ],\n            [\n              -85.82691192626953,\n              36.13898378070337\n            ],\n            [\n              -85.83446502685547,\n              36.14508334310362\n            ],\n            [\n              -85.84133148193358,\n              36.148410177249225\n            ],\n            [\n              -85.84888458251952,\n              36.15201408833908\n            ],\n            [\n              -85.8578109741211,\n              36.15256852150007\n            ],\n            [\n              -85.86639404296875,\n              36.15007354140755\n            ],\n            [\n              -85.87154388427734,\n              36.1464695411456\n            ],\n            [\n              -85.8694839477539,\n              36.15312295074127\n            ],\n            [\n              -85.86742401123047,\n              36.159498605271835\n            ],\n            [\n              -85.8742904663086,\n              36.16227046727886\n            ],\n            [\n              -85.88115692138672,\n              36.16642807652808\n            ],\n            [\n              -85.89385986328125,\n              36.170862616662134\n            ],\n            [\n              -85.90587615966797,\n              36.17585117438681\n            ],\n            [\n              -85.90450286865234,\n              36.18305630819734\n            ],\n            [\n              -85.90141296386719,\n              36.19164617858065\n            ],\n            [\n              -85.90450286865234,\n              36.19691047217554\n            ],\n            [\n              -85.91617584228516,\n              36.19884985954492\n            ],\n            [\n              -85.92784881591797,\n              36.20217441183449\n            ],\n            [\n              -85.93402862548828,\n              36.20549882293361\n            ],\n            [\n              -85.94295501708983,\n              36.209654138250585\n            ],\n            [\n              -85.94844818115234,\n              36.213255233061844\n            ],\n            [\n              -85.9402084350586,\n              36.22128784736309\n            ],\n            [\n              -85.93540191650389,\n              36.221564819353084\n            ],\n            [\n              -85.92510223388672,\n              36.21242422589122\n            ],\n            [\n              -85.9185791015625,\n              36.20910010895552\n            ],\n            [\n              -85.90965270996094,\n              36.218795055321934\n            ],\n            [\n              -85.90621948242188,\n              36.22904269236936\n            ],\n            [\n              -85.90656280517578,\n              36.235689090370336\n            ],\n            [\n              -85.902099609375,\n              36.24316561280259\n            ],\n            [\n              -85.90072631835938,\n              36.24759580717711\n            ],\n            [\n              -85.9072494506836,\n              36.251472021249235\n            ],\n            [\n              -85.92132568359375,\n              36.250364551134425\n            ],\n            [\n              -85.9299087524414,\n              36.243442507308124\n            ],\n            [\n              -85.93608856201172,\n              36.24150422516992\n            ],\n            [\n              -85.9457015991211,\n              36.2390120775093\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"143","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-10","publicationStatus":"PW","scienceBaseUri":"554dde2ae4b082ec54129f1d","contributors":{"authors":[{"text":"Ivasauskas, Tomas J.","contributorId":84176,"corporation":false,"usgs":false,"family":"Ivasauskas","given":"Tomas","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":546388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189669,"text":"70189669 - 2014 - Transcriptomic effects-based monitoring for endocrine active chemicals: Assessing relative contribution of treated wastewater to downstream pollution","interactions":[],"lastModifiedDate":"2018-09-14T16:02:33","indexId":"70189669","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","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":"Transcriptomic effects-based monitoring for endocrine active chemicals: Assessing relative contribution of treated wastewater to downstream pollution","docAbstract":"<p><span>The present study investigated whether a combination of targeted analytical chemistry information with unsupervised, data-rich biological methodology (i.e., transcriptomics) could be utilized to evaluate relative contributions of wastewater treatment plant (WWTP) effluents to biological effects. The effects of WWTP effluents on fish exposed to ambient, receiving waters were studied at three locations with distinct WWTP and watershed characteristics. At each location, 4 d exposures of male fathead minnows to the WWTP effluent and upstream and downstream ambient waters were conducted. Transcriptomic analyses were performed on livers using 15 000 feature microarrays, followed by a canonical pathway and gene set enrichment analyses. Enrichment of gene sets indicative of teleost brain–pituitary–gonadal–hepatic (BPGH) axis function indicated that WWTPs serve as an important source of endocrine active chemicals (EACs) that affect the BPGH axis (e.g., cholesterol and steroid metabolism were altered). The results indicated that transcriptomics may even pinpoint pertinent adverse outcomes (i.e., liver vacuolization) and groups of chemicals that preselected chemical analytes may miss. Transcriptomic Effects-Based monitoring was capable of distinguishing sites, and it reflected chemical pollution gradients, thus holding promise for assessment of relative contributions of point sources to pollution and the efficacy of pollution remediation.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/es404027n","usgsCitation":"Martinovic-Weigelt, D., Mehinto, A.C., Ankley, G., Denslow, N., Barber, L.B., Lee, K., King, R.J., Schoenfuss, H.L., Schroeder, A.L., and Villeneuve, D.L., 2014, Transcriptomic effects-based monitoring for endocrine active chemicals: Assessing relative contribution of treated wastewater to downstream pollution: Environmental Science & Technology, v. 48, no. 4, p. 2385-2394, https://doi.org/10.1021/es404027n.","productDescription":"10 p.","startPage":"2385","endPage":"2394","ipdsId":"IP-053126","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-01-10","publicationStatus":"PW","scienceBaseUri":"59706fbce4b0d1f9f065a911","contributors":{"authors":[{"text":"Martinovic-Weigelt, Dalma","contributorId":173655,"corporation":false,"usgs":false,"family":"Martinovic-Weigelt","given":"Dalma","affiliations":[{"id":6748,"text":"University of St. Thomas","active":true,"usgs":false}],"preferred":false,"id":705708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mehinto, Alvine C.","contributorId":104387,"corporation":false,"usgs":true,"family":"Mehinto","given":"Alvine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":705709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ankley, Gerald T.","contributorId":177970,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald T.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":705710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denslow, Nancy D.","contributorId":72831,"corporation":false,"usgs":true,"family":"Denslow","given":"Nancy D.","affiliations":[],"preferred":false,"id":705711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":705712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":705713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"King, Ryan J.","contributorId":194914,"corporation":false,"usgs":false,"family":"King","given":"Ryan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":705714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":705715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schroeder, Anthony L.","contributorId":173596,"corporation":false,"usgs":false,"family":"Schroeder","given":"Anthony","email":"","middleInitial":"L.","affiliations":[{"id":12503,"text":"University of Minnesota - Saint Paul","active":true,"usgs":false},{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":705716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Villeneuve, Daniel L.","contributorId":32091,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":705717,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70145807,"text":"70145807 - 2014 - A comparison of resident fish assemblages in managed and unmanaged coastal wetlands in North Carolina and South Carolina","interactions":[],"lastModifiedDate":"2015-04-09T12:57:17","indexId":"70145807","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of resident fish assemblages in managed and unmanaged coastal wetlands in North Carolina and South Carolina","docAbstract":"<p><span>The dominant fish species within impounded coastal wetlands in the southeastern US may be different from the species that dominate natural marshes. We tested the hypothesis that resident fish assemblages inhabiting impounded coastal wetlands in South Carolina would differ from resident assemblages in natural marshes of the southeastern United States. We used rarefied species richness, Shannon's&nbsp;</span><i>H'</i><span>&nbsp;diversity,</span><i>J'</i><span>&nbsp;evenness, Morisita's index of similarity, and the percent similarity index to compare resident fish assemblages from two impoundments to 12 open-marsh resident fish assemblages from previously published studies in North and South Carolina. We used rotenone to sample fish assemblages in impoundments. The assemblages in natural marsh habitat had been sampled with rotenone and seines. We classified comparisons yielding a similarity index &ge;0.50 as moderately similar and those with an index &ge;0.75 as very similar. Fifty-three percent of the among-impoundment comparisons (Morisita's index) were at least moderately similar, whereas 7% of impoundment&mdash;natural marsh comparisons were moderately similar. A difference in tidal influence was the only parameter in the best-fitting model describing the observed Morisita's indices. The index of similarity decreased by 63% when tidal influence differed between compared assemblages. Species richness and diversity were greater in impoundments than natural marshes, but evenness was similar between habitat types. Our results support the hypothesis that resident fish assemblages in impounded wetlands and natural marshes are different, and suggest that a degree of tidal influence is the most important factor behind the difference.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.013.0207","usgsCitation":"Robinson, K., and Jennings, C.A., 2014, A comparison of resident fish assemblages in managed and unmanaged coastal wetlands in North Carolina and South Carolina: Southeastern Naturalist, v. 13, no. 2, p. 237-260, https://doi.org/10.1656/058.013.0207.","productDescription":"24 p.","startPage":"237","endPage":"260","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052529","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":299541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, South Carolina","otherGeospatial":"Combahee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.0791015625,\n              31.93351676190369\n            ],\n            [\n              -81.0791015625,\n              32.95336814579932\n            ],\n            [\n              -79.639892578125,\n              32.95336814579932\n            ],\n            [\n              -79.639892578125,\n              31.93351676190369\n            ],\n            [\n              -81.0791015625,\n              31.93351676190369\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5527a2aae4b026915857c847","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":140157,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false},{"id":473,"text":"New York Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":544518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":544400,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70145808,"text":"70145808 - 2014 - Productivity of functional guilds of fishes in managed wetlands in coastal South Carolina","interactions":[],"lastModifiedDate":"2015-04-09T11:02:27","indexId":"70145808","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Productivity of functional guilds of fishes in managed wetlands in coastal South Carolina","docAbstract":"<p><span>In coastal South Carolina, many wetlands are impounded and managed as migratory waterfowl habitat. Impoundment effects on fish production and habitat quality largely are unknown. We used the size-frequency method to estimate summer production of fish guilds in three impoundments along the Combahee River, South Carolina. We predicted that guild-specific production would vary with impoundment salinity, which ranged from 3 to 21 practical salinity units. We expected that marine species that use the estuary as nursery habitat would have greatest production in the impoundment with the highest salinity regime, and that species that inhabit the upper reaches of the estuary would have greatest production in the impoundment with the lowest salinity regime. Finally, we expected that estuarine species would be highly productive in all study impoundments, because these species can reproduce within these structures. We found that guild-specific productivity varied both among years and among impoundments, generally following salinity gradients, though to a lesser extent than expected. Our guild-specific estimates of fish productivity fell on the low end of the range of previously published estuarine fish production estimates. Additionally, we observed large mortality events in the study impoundments each summer. The results of our study indicate that during the summer, the study impoundments provided poor-quality fish habitat to all guilds.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.3996/112012-JFWM-099","usgsCitation":"Robinson, K., and Jennings, C.A., 2014, Productivity of functional guilds of fishes in managed wetlands in coastal South Carolina: Journal of Fish and Wildlife Management, v. 5, no. 1, p. 70-86, https://doi.org/10.3996/112012-JFWM-099.","productDescription":"17 p.","startPage":"70","endPage":"86","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053919","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":473291,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/112012-jfwm-099","text":"Publisher Index Page"},{"id":299540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Combahee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.79345703125,\n              32.2313896627376\n            ],\n            [\n              -80.79345703125,\n              33.063924198120645\n            ],\n            [\n              -79.51904296874999,\n              33.063924198120645\n            ],\n            [\n              -79.51904296874999,\n              32.2313896627376\n            ],\n            [\n              -80.79345703125,\n              32.2313896627376\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-01","publicationStatus":"PW","scienceBaseUri":"5527a2b4e4b026915857c856","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":44911,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":544517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":544401,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70147238,"text":"70147238 - 2014 - Post-breeding migration of Dutch-breeding black-tailed godwits: timing, routes, use of stopovers, and nonbreeding destinations","interactions":[],"lastModifiedDate":"2018-05-20T11:23:54","indexId":"70147238","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":900,"text":"Ardea","active":true,"publicationSubtype":{"id":10}},"title":"Post-breeding migration of Dutch-breeding black-tailed godwits: timing, routes, use of stopovers, and nonbreeding destinations","docAbstract":"<p><span>Conservation of long-distance migratory shorebirds is complex because these species use habitats spread across continents and hemispheres, making identification of critical habitats and potential bottlenecks in the annual cycle especially difficult. The population of Black-tailed Godwits that breeds in Western Europe,<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Limosa limosa limosa</i><span>, has declined precipitously over the past few decades. Despite significant efforts to identify the root causes of this decline, much remains unclear. To better understand the migratory timing, use of stopover and nonbreeding sites, and the potential impact of breeding success on these parameters, we attached 15 Argos satellite transmitters and 10 geolocation tracking devices to adult godwits nearing completion of incubation at breeding sites in southwest Friesland, The Netherlands during the spring of 2009. We successfully tracked 16 adult godwits for their entire southward migration and two others for part of it. Three migration patterns and four regions of use were apparent. Most godwits left their breeding sites and proceeded south directly to stopover sites in the Mediterranean &mdash; e.g. Spain, Portugal, and Morocco &mdash; before flying on to non-breeding sites in West Africa. Other individuals spent the entire nonbreeding season in the Mediterranean. A third pattern included a few individuals that flew nonstop from their Dutch breeding sites to nonbreeding sites in West Africa. Tracking data from this study will be immediately useful for conservation efforts focused on preserving the dispersed network of sites used by godwits during their southward migration.</span></p>","language":"English","publisher":"Netherlands Ornithologists' Union","doi":"10.5253/078.101.0209","usgsCitation":"Hooijmeijer, J.C., Senner, N.R., Tibbitts, T.L., Gill, R., Douglas, D.C., Bruinzeel, L.W., Wymenga, E., and Piersma, T., 2014, Post-breeding migration of Dutch-breeding black-tailed godwits: timing, routes, use of stopovers, and nonbreeding destinations: Ardea, v. 101, no. 2, p. 141-152, https://doi.org/10.5253/078.101.0209.","productDescription":"12 p.","startPage":"141","endPage":"152","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048977","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":473318,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5253/078.101.0209","text":"Publisher Index Page"},{"id":299955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"The Netherlands","state":"Friesland","otherGeospatial":"Mediterranean, West Africa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              7.207031249999999,\n              53.225768435790194\n            ],\n            [\n              6.30615234375,\n              53.605544099238\n            ],\n            [\n              5.07568359375,\n              53.409531853086435\n            ],\n            [\n              4.581298828125,\n              53.034607110319044\n            ],\n            [\n              4.306640625,\n              52.18066872927715\n            ],\n            [\n              3.40576171875,\n              51.60437164681676\n            ],\n            [\n              -1.494140625,\n              46.28622391806706\n            ],\n            [\n              -9.4482421875,\n              38.85682013474361\n            ],\n            [\n              -17.402343749999996,\n              14.774882506516272\n            ],\n            [\n              -16.34765625,\n              11.523087506868514\n            ],\n            [\n              -5.16357421875,\n              7.100892668623654\n            ],\n            [\n              -3.6035156249999996,\n              13.923403897723347\n            ],\n            [\n              4.482421875,\n              15.792253570362446\n            ],\n            [\n              -4.921875,\n              35.460669951495305\n            ],\n            [\n              5.053710937499999,\n              49.781264058178344\n            ],\n            [\n              7.207031249999999,\n              53.225768435790194\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"101","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5542012de4b0a658d793b44f","contributors":{"authors":[{"text":"Hooijmeijer, Jos C. E. W.","contributorId":64996,"corporation":false,"usgs":false,"family":"Hooijmeijer","given":"Jos","email":"","middleInitial":"C. E. W.","affiliations":[],"preferred":false,"id":545756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senner, Nathan R.","contributorId":140465,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":545757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":140455,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":545732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":545758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":545759,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bruinzeel, Leo W.","contributorId":31675,"corporation":false,"usgs":true,"family":"Bruinzeel","given":"Leo","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":545760,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wymenga, Eddy","contributorId":140466,"corporation":false,"usgs":false,"family":"Wymenga","given":"Eddy","email":"","affiliations":[],"preferred":false,"id":545761,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piersma, Theunis","contributorId":95369,"corporation":false,"usgs":true,"family":"Piersma","given":"Theunis","affiliations":[],"preferred":false,"id":545762,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70144355,"text":"70144355 - 2014 - North American Commission on Stratigraphic Nomenclature Note 66: records of Stratigraphic Commission, 2003-2013","interactions":[],"lastModifiedDate":"2015-03-27T11:01:15","indexId":"70144355","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"North American Commission on Stratigraphic Nomenclature Note 66: records of Stratigraphic Commission, 2003-2013","docAbstract":"<p>Note 66 summarizes activities of the North American Commission on Stratigraphic Nomenclature (NACSN) from November 2003 to October 2013 and is condensed from the minutes of the NACSN&rsquo;s 58th to 68th annual meetings1. The purposes of the Commission are to develop statements of stratigraphic principles,recommend procedures applicable to the classification and nomenclature of stratigraphic and related units, review problems in classifying and naming stratigraphic and related units, and formulate expressions of judgment on these matters.</p>","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Easton, R.M., Catuneanu, O., Donovan, A.D., Fluegeman, R.H., Hamblin, A., Harper, H., Lasca, N.P., Morrow, J.R., Orndorff, R.C., Sadler, P., Scott, R.W., and Tew, B.H., 2014, North American Commission on Stratigraphic Nomenclature Note 66: records of Stratigraphic Commission, 2003-2013: Stratigraphy, v. 11, no. 2, p. 143-157.","productDescription":"15 p.","startPage":"143","endPage":"157","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2003-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-056320","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":299038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299037,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org.ezproxy.library.wisc.edu/micropen2/index.php?globalnav=article_detail&issue_id=310&article_id=1888"}],"volume":"11","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55167f33e4b0323842781b09","contributors":{"authors":[{"text":"Easton, Robert M.","contributorId":139939,"corporation":false,"usgs":false,"family":"Easton","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":13320,"text":"Ontario Geological Survey","active":true,"usgs":false}],"preferred":false,"id":543508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catuneanu, Octavian","contributorId":139940,"corporation":false,"usgs":false,"family":"Catuneanu","given":"Octavian","email":"","affiliations":[{"id":12799,"text":"University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":543509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Art D.","contributorId":139941,"corporation":false,"usgs":false,"family":"Donovan","given":"Art","email":"","middleInitial":"D.","affiliations":[{"id":13321,"text":"Texas A & M University","active":true,"usgs":false}],"preferred":false,"id":543510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fluegeman, Richard H.","contributorId":139942,"corporation":false,"usgs":false,"family":"Fluegeman","given":"Richard","email":"","middleInitial":"H.","affiliations":[{"id":13322,"text":"Ball State University","active":true,"usgs":false}],"preferred":false,"id":543511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamblin, A.P.","contributorId":139943,"corporation":false,"usgs":false,"family":"Hamblin","given":"A.P.","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":543512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harper, Howard","contributorId":139944,"corporation":false,"usgs":false,"family":"Harper","given":"Howard","email":"","affiliations":[{"id":13323,"text":"Society for Sedimentary Geology","active":true,"usgs":false}],"preferred":false,"id":543513,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lasca, Norman P.","contributorId":139945,"corporation":false,"usgs":false,"family":"Lasca","given":"Norman","email":"","middleInitial":"P.","affiliations":[{"id":13324,"text":"University of Wisconsin Milwaukee","active":true,"usgs":false}],"preferred":false,"id":543514,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morrow, Jared R.","contributorId":65934,"corporation":false,"usgs":true,"family":"Morrow","given":"Jared","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":543515,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":543507,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sadler, Peter","contributorId":139946,"corporation":false,"usgs":false,"family":"Sadler","given":"Peter","email":"","affiliations":[{"id":13325,"text":"University of California Riverside","active":true,"usgs":false}],"preferred":false,"id":543516,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Scott, Robert W.","contributorId":139947,"corporation":false,"usgs":false,"family":"Scott","given":"Robert","email":"","middleInitial":"W.","affiliations":[{"id":13326,"text":"The University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":543517,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tew, Berry H.","contributorId":139948,"corporation":false,"usgs":false,"family":"Tew","given":"Berry","email":"","middleInitial":"H.","affiliations":[{"id":13327,"text":"Geological Survey of Alabama","active":true,"usgs":false}],"preferred":false,"id":543518,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70156247,"text":"70156247 - 2014 - Modeling structured population dynamics using data from unmarked individuals","interactions":[],"lastModifiedDate":"2017-02-13T15:08:48","indexId":"70156247","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling structured population dynamics using data from unmarked individuals","docAbstract":"<p><span>The study of population dynamics requires unbiased, precise estimates of abundance and vital rates that account for the demographic structure inherent in all wildlife and plant populations. Traditionally, these estimates have only been available through approaches that rely on intensive mark&ndash;recapture data. We extended recently developed&nbsp;</span><i>N</i><span>-mixture models to demonstrate how demographic parameters and abundance can be estimated for structured populations using only stage-structured count data. Our modeling framework can be used to make reliable inferences on abundance as well as recruitment, immigration, stage-specific survival, and detection rates during sampling. We present a range of simulations to illustrate the data requirements, including the number of years and locations necessary for accurate and precise parameter estimates. We apply our modeling framework to a population of northern dusky salamanders (</span><i>Desmognathus fuscus</i><span>) in the mid-Atlantic region (USA) and find that the population is unexpectedly declining. Our approach represents a valuable advance in the estimation of population dynamics using multistate data from unmarked individuals and should additionally be useful in the development of integrated models that combine data from intensive (e.g., mark&ndash;recapture) and extensive (e.g., counts) data sources.</span><br /><span><br /></span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/13-1131.1","usgsCitation":"Grant, E., Zipkin, E., Thorson, J.T., See, K., Lynch, H., Kanno, Y., Chandler, R., Letcher, B., and Royle, J., 2014, Modeling structured population dynamics using data from unmarked individuals: Ecology, v. 95, no. 1, p. 22-29, https://doi.org/10.1890/13-1131.1.","productDescription":"7 p.","startPage":"22","endPage":"29","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062557","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":473279,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/13-1131.1","text":"Publisher Index Page"},{"id":306825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":306774,"type":{"id":15,"text":"Index Page"},"url":"https://www.esajournals.org/doi/abs/10.1890/13-1131.1"}],"volume":"95","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d305b7e4b0518e35468d0e","contributors":{"authors":[{"text":"Grant, Evan H. Campbell ehgrant@usgs.gov","contributorId":146545,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","email":"ehgrant@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":568210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipkin, Elise ezipkin@usgs.gov","contributorId":470,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise","email":"ezipkin@usgs.gov","affiliations":[],"preferred":true,"id":568343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorson, James T.","contributorId":146580,"corporation":false,"usgs":false,"family":"Thorson","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":568344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"See, Kevin","contributorId":146581,"corporation":false,"usgs":false,"family":"See","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":568345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Heather J.","contributorId":23824,"corporation":false,"usgs":true,"family":"Lynch","given":"Heather J.","affiliations":[],"preferred":false,"id":568346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kanno, Yoichiro ykanno@usgs.gov","contributorId":4876,"corporation":false,"usgs":true,"family":"Kanno","given":"Yoichiro","email":"ykanno@usgs.gov","affiliations":[],"preferred":true,"id":568347,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chandler, Richard rchandler@usgs.gov","contributorId":2511,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":568348,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":2864,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":568349,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Royle, J. Andrew aroyle@usgs.gov","contributorId":138860,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":568350,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70184997,"text":"70184997 - 2014 - New imaging of submarine landslides from the 1964 earthquake near Whittier, Alaska, and a comparison to failures in other Alaskan fjords","interactions":[],"lastModifiedDate":"2017-06-07T16:47:26","indexId":"70184997","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"New imaging of submarine landslides from the 1964 earthquake near Whittier, Alaska, and a comparison to failures in other Alaskan fjords","docAbstract":"<p><span>The 1964 Alaska M</span><sub> <i class=\"EmphasisTypeItalic \">w</i> </sub><span>9.2 earthquake triggered numerous submarine slope failures in fjords of southern Alaska. These failures generated local tsunamis, such as at Whittier, where they inundated the town within 4 min of the beginning of shaking. Run-up was up to 32 m, with 13 casualties. We collected new multibeam bathymetry and high-resolution sparker seismic data in Passage Canal, and we examined bathymetry changes before and after the earthquake. The data reveal the debris flow deposit from the 1964 landslides, which covers the western 5 km of the fjord bottom. Individual blocks in the flow are up to 145-m wide and 25-m tall. Bathymetry changes show the mass transfer deposits originated from the fjord head and Whittier Creek deltas and had a volume of about 42 million m</span><sup>3</sup><span>. The 1964 deposit has an average thickness of ∼5.4 m. Beyond the debris flow, the failures likely deposited a ∼4.6-m thick megaturbidite in a distal basin. We have studied the 1964 submarine landslides in three fjords. All involved failure of the fjord-head delta. All failures eroded basin-floor sediments and incorporated them as they travelled. All the failures deposited blocks, but their size and travel distances varied greatly. We find a correlation between maximum block size and maximum tsunami run-up regardless of the volume of the slides. Lastly, the fjord’s margins were influenced by increased supply of glacial sediments during the little ice age, which along with a long interseismic interval (∼900 years) may have caused the 1964 earthquake to produce particularly numerous and large submarine landslides.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Submarine mass movements and their consequences, Advances in Natural and Technological Hazards Research Vol. 37 ","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-00972-8_32","usgsCitation":"Haeussler, P.J., Parsons, T.E., Finlayson, D.P., Hart, P.J., Chaytor, J., Ryan, H.F., Lee, H., Labay, K., Peterson, A., and Liberty, L., 2014, New imaging of submarine landslides from the 1964 earthquake near Whittier, Alaska, and a comparison to failures in other Alaskan fjords, chap. <i>of</i> Submarine mass movements and their consequences, Advances in Natural and Technological Hazards Research Vol. 37 , v. 37, p. 361-370, https://doi.org/10.1007/978-3-319-00972-8_32.","productDescription":"10 p.","startPage":"361","endPage":"370","ipdsId":"IP-052752","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":438776,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L0Q0AK","text":"USGS data release","linkHelpText":"Combined High-Resolution Topography and Bathymetry for Western Passage Canal, Near Whittier, Alaska"},{"id":438775,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9458THH","text":"USGS data release","linkHelpText":"Gridded Data from a 2011 Multibeam Bathymetric Survey of the Western Part of Passage Canal, Near Whittier, Alaska"},{"id":337535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Whittier","volume":"37","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-19","publicationStatus":"PW","scienceBaseUri":"58c90128e4b0849ce97abcf7","contributors":{"authors":[{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":683875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":683876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finlayson, David P. dfinlayson@usgs.gov","contributorId":1381,"corporation":false,"usgs":true,"family":"Finlayson","given":"David","email":"dfinlayson@usgs.gov","middleInitial":"P.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":683877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":683878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":4961,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason D.","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":683879,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryan, Holly F. hryan@usgs.gov","contributorId":187559,"corporation":false,"usgs":false,"family":"Ryan","given":"Holly","email":"hryan@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":683880,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lee, Homa J. hjlee@usgs.gov","contributorId":1021,"corporation":false,"usgs":true,"family":"Lee","given":"Homa J.","email":"hjlee@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":684304,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":683881,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peterson, Andrew","contributorId":189112,"corporation":false,"usgs":false,"family":"Peterson","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":683882,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liberty, Lee","contributorId":189113,"corporation":false,"usgs":false,"family":"Liberty","given":"Lee","affiliations":[],"preferred":false,"id":683883,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70187340,"text":"70187340 - 2014 - Changes in vegetation and biological soil crust communities on sand dunes stabilizing after a century of grazing on San Miguel Island, Channel Island National Park, California","interactions":[],"lastModifiedDate":"2019-12-17T09:22:09","indexId":"70187340","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2785,"text":"Monographs of the Western North American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Changes in vegetation and biological soil crust communities on sand dunes stabilizing after a century of grazing on San Miguel Island, Channel Island National Park, California","docAbstract":"<p><span>San Miguel Island is the westernmost of the California Channel Islands and one of the windiest areas on the west coast of North America. The majority of the island is covered by coastal sand dunes, which were stripped of vegetation and subsequently mobilized due to droughts and sheep ranching during the late 19th century and early 20th century. Since the removal of grazing animals, vegetation and biological soil crusts have once again stabilized many of the island's dunes. In this study, historical aerial photographs and field surveys were used to develop a chronosequence of the pattern of change in vegetation communities and biological soil crust levels of development (LOD) along a gradient of dune stabilization. Historical aerial photographs from 1929, 1954, 1977, and 2009 were georeferenced and used to delineate changes in vegetation canopy cover and active (unvegetated) dune extent among 5 historical periods (pre-1929, 1929–1954, 1954–1977, 1977–2009, and 2009–2011). During fieldwork, vegetation and biological soil crust communities were mapped along transects distributed throughout San Miguel Island's central dune field on land forms that had stabilized during the 5 time periods of interest. Analyses in a geographic information system (GIS) quantified the pattern of changes that vegetation and biological soil crust communities have exhibited on the San Miguel Island dunes over the past 80 years. Results revealed that a continuing increase in total vegetation cover and a complex pattern of change in vegetation communities have taken place on the San Miguel Island dunes since the removal of grazing animals. The highly specialized native vascular vegetation (sea rocket, dunedelion, beach-bur, and locoweed) are the pioneer stabilizers of the dunes. This pioneer community is replaced in later stages by communities that are dominated by native shrubs (coastal goldenbush, silver lupine, coyote-brush, and giant coreopsis), with apparently overlapping or cyclical succession pathways. Many of the dunes that have been stabilized the longest (since before 1929) are dominated by exotic grasses. Stands of biological soil crusts (cyanobacteria) are found only on dunes where vascular vegetation is already present. Biological soil crusts are not found on dunes exhibiting a closed vascular plant canopy, which may indicate that the role of soil crusts in dune stabilization on the island is transitory. Particle-size analyses of soil samples from the study area reveal that higher biological soil crust LOD is positively correlated with increasing fine grain content. The findings indicate that changes in vegetation communities may be the most rapid at earlier and later stages of dune stabilization and that regular monitoring of dunes may help to identify the interactions between vegetation and soil crusts, as well as the potential transitions between native and exotic plant communities.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/042.007.0118","usgsCitation":"Zellman, K.L., 2014, Changes in vegetation and biological soil crust communities on sand dunes stabilizing after a century of grazing on San Miguel Island, Channel Island National Park, California: Monographs of the Western North American Naturalist, v. 7, no. 1, p. 225-245, https://doi.org/10.3398/042.007.0118.","productDescription":"21 p.","startPage":"225","endPage":"245","ipdsId":"IP-045921","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473313,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3398/042.007.0118","text":"Publisher Index Page"},{"id":340691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Miguel Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.46920776367188,\n              34.00599664251842\n            ],\n            [\n              -120.28175354003906,\n              34.00599664251842\n            ],\n            [\n              -120.28175354003906,\n              34.085080620514844\n            ],\n            [\n              -120.46920776367188,\n              34.085080620514844\n            ],\n            [\n              -120.46920776367188,\n              34.00599664251842\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59084934e4b0fc4e448ffd8e","contributors":{"authors":[{"text":"Zellman, Kristine L. 0000-0002-7088-429X kzellman@usgs.gov","orcid":"https://orcid.org/0000-0002-7088-429X","contributorId":4849,"corporation":false,"usgs":true,"family":"Zellman","given":"Kristine","email":"kzellman@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":693541,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156245,"text":"70156245 - 2014 - Stream water temperature limits occupancy of salamanders in mid-Atlantic protected areas","interactions":[],"lastModifiedDate":"2022-11-10T16:55:27.401072","indexId":"70156245","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Stream water temperature limits occupancy of salamanders in mid-Atlantic protected areas","docAbstract":"<p>Stream ecosystems are particularly sensitive to urbanization, and tolerance of water-quality parameters is likely important to population persistence of stream salamanders. Forecasted climate and landscape changes may lead to significant changes in stream flow, chemical composition, and temperatures in coming decades. Protected areas where landscape alterations are minimized will therefore become increasingly important for salamander populations. We surveyed 29 streams at three national parks in the highly urbanized greater metropolitan area of Washington, DC. We investigated relationships among water-quality variables and occupancy of three species of stream salamanders (<i>Desmognathus fuscus</i>, <i>Eurycea bislineata</i>, and <i>Pseudotriton ruber</i>). With the use of a set of site-occupancy models, and accounting for imperfect detection, we found that stream-water temperature limits salamander occupancy. There was substantial uncertainty about the effects of the other water-quality variables, although both specific conductance (SC) and pH were included in competitive models. Our estimates of occupancy suggest that temperature, SC, and pH have some importance in structuring stream salamander distribution.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/12-138","usgsCitation":"Grant, E., Wiewel, A., and Rice, K.C., 2014, Stream water temperature limits occupancy of salamanders in mid-Atlantic protected areas: Journal of Herpetology, v. 48, no. 1, p. 45-50, https://doi.org/10.1670/12-138.","productDescription":"5 p.","startPage":"45","endPage":"50","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061664","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":306822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia, West Virginia","otherGeospatial":"Chesapeake and Ohio Canal National Historical Park, Prince William Forest Park, Rock Creek Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.83019744229176,\n              39.599476007395026\n            ],\n            [\n              -77.82799661074574,\n              39.58994388338118\n            ],\n            [\n              -77.8315601835258,\n              39.57573746460676\n            ],\n            [\n              -77.83224320021303,\n              39.57123318002209\n            ],\n            [\n              -77.8356582836468,\n              39.56538302294277\n            ],\n            [\n              -77.84150187085604,\n              39.56397891179719\n            ],\n            [\n              -77.85569343979328,\n              39.56356937402424\n            ],\n            [\n              -77.86400120444158,\n              39.562946086631314\n            ],\n            [\n              -77.87796510114941,\n              39.562595049174774\n            ],\n            [\n              -77.88304978092921,\n              39.56066431140175\n            ],\n            [\n              -77.88707199030685,\n              39.55861650048328\n            ],\n            [\n              -77.88767911625072,\n              39.55557392690349\n            ],\n            [\n              -77.88555417544748,\n              39.552472704962156\n            ],\n            [\n              -77.87014835462301,\n              39.544631261321996\n            ],\n            [\n              -77.8643047674138,\n              39.53948117447271\n            ],\n            [\n              -77.86339407849786,\n              39.53717226149439\n            ],\n            [\n              -77.86400120444173,\n              39.528919346566\n            ],\n            [\n              -77.8649877841006,\n              39.52552424571428\n            ],\n            [\n              -77.86506367484337,\n              39.51873354602051\n            ],\n            [\n              -77.86369764147008,\n              39.51645031681011\n            ],\n            [\n              -77.85997899506411,\n              39.51498666886795\n            ],\n            [\n              -77.85331385979947,\n              39.515923407103685\n            ],\n            [\n              -77.84435875212814,\n              39.51797247795582\n            ],\n            [\n              -77.8418543576099,\n              39.51996294604788\n            ],\n            [\n              -77.84124723166602,\n              39.522948541233376\n            ],\n            [\n              -77.8413231224088,\n              39.527163280643805\n            ],\n            [\n              -77.84056421497937,\n              39.5299729648014\n            ],\n            [\n              -77.83730091303117,\n              39.532665472098216\n            ],\n            [\n              -77.83434117405517,\n              39.533075192315664\n            ],\n            [\n              -77.82553784786936,\n              39.53020710001607\n            ],\n            [\n              -77.82280578112224,\n              39.52529009470885\n            ],\n            [\n              -77.82310934409391,\n              39.5197873188049\n            ],\n            [\n              -77.82485483118201,\n              39.51612387957027\n            ],\n            [\n              -77.83054663690515,\n              39.51290379825886\n            ],\n            [\n              -77.83707324080156,\n              39.50874674531772\n            ],\n            [\n              -77.84534533178628,\n              39.50435522207587\n            ],\n            [\n              -77.84671136515954,\n              39.50201296286798\n            ],\n            [\n              -77.84557300401518,\n              39.49926070742842\n            ],\n            [\n              -77.84071599646421,\n              39.49791381930544\n            ],\n            [\n              -77.82773867941525,\n              39.494751457665615\n            ],\n            [\n              -77.81796351924373,\n              39.49422692391113\n            ],\n            [\n              -77.81242349500613,\n              39.49211858698729\n            ],\n            [\n              -77.79997741315772,\n              39.49088869425492\n            ],\n            [\n              -77.79193299440189,\n              39.491415793804066\n            ],\n            [\n              -77.78965627211309,\n              39.493231328331376\n            ],\n            [\n              -77.78662064239374,\n              39.497155063568385\n            ],\n            [\n              -77.78335734044553,\n              39.499438926879094\n            ],\n            [\n              -77.77986636626842,\n              39.499848843119594\n            ],\n            [\n              -77.7728844179148,\n              39.50008307988628\n            ],\n            [\n              -77.76726850293444,\n              39.49815060295555\n            ],\n            [\n              -77.76556692246066,\n              39.49954444068064\n            ],\n            [\n              -77.77224530784262,\n              39.50235524208841\n            ],\n            [\n              -77.78059328957067,\n              39.502472356346544\n            ],\n            [\n              -77.7877270194104,\n              39.500481387113496\n            ],\n            [\n              -77.79319115290467,\n              39.49439100953748\n            ],\n            [\n              -77.80199447909045,\n              39.493336851555654\n            ],\n            [\n              -77.80351229394985,\n              39.494039625319715\n            ],\n            [\n              -77.80806573852858,\n              39.49509377264482\n            ],\n            [\n              -77.81140493121956,\n              39.495445151534796\n            ],\n            [\n              -77.817172627686,\n              39.49696777286616\n            ],\n            [\n              -77.82779733170287,\n              39.49778763207678\n            ],\n            [\n              -77.83690422086032,\n              39.49942732148833\n            ],\n            [\n              -77.83796669126191,\n              39.50106697222037\n            ],\n            [\n              -77.83796669126191,\n              39.50317503775307\n            ],\n            [\n              -77.8265830798151,\n              39.509967258390816\n            ],\n            [\n              -77.820511820377,\n              39.518280969492764\n            ],\n            [\n              -77.82088213993408,\n              39.530431880158204\n            ],\n            [\n              -77.8219446103357,\n              39.53230492738541\n            ],\n            [\n              -77.8333282217825,\n              39.53593381258921\n            ],\n            [\n              -77.84000660716451,\n              39.53441204511512\n            ],\n            [\n              -77.8468367740326,\n              39.53078308036234\n            ],\n            [\n              -77.85078309266746,\n              39.52247086570853\n            ],\n            [\n              -77.86064888925488,\n              39.52282210617881\n            ],\n            [\n              -77.85882751142327,\n              39.531602540596964\n            ],\n            [\n              -77.86155957817037,\n              39.54202054888458\n            ],\n            [\n              -77.87203250070168,\n              39.549160078416975\n            ],\n            [\n              -77.88022870094304,\n              39.55290511163622\n            ],\n            [\n              -77.87704128973816,\n              39.557937181687606\n            ],\n            [\n              -77.87188071921557,\n              39.55969246908222\n            ],\n            [\n              -77.86565767829137,\n              39.559575451304426\n            ],\n            [\n              -77.84622964808872,\n              39.5612136822256\n            ],\n            [\n              -77.83449843550866,\n              39.56370326384973\n            ],\n            [\n              -77.8305521168738,\n              39.567798524835354\n            ],\n            [\n              -77.82463263892181,\n              39.584060173641575\n            ],\n            [\n              -77.82205235366027,\n              39.59201412293362\n            ],\n            [\n              -77.8228112610902,\n              39.598446796334485\n            ],\n            [\n              -77.82539154635121,\n              39.599850209327116\n            ],\n            [\n              -77.83019744229176,\n              39.599476007395026\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.04563511011274,\n              38.94305234029056\n            ],\n            [\n              -77.03622465798365,\n              38.95273188187417\n            ],\n            [\n              -77.03622465798365,\n              38.966422634386646\n            ],\n            [\n              -77.03622465798365,\n              38.98105465133162\n            ],\n            [\n              -77.0375906913575,\n              38.98211653488795\n            ],\n            [\n              -77.04001919513237,\n              38.986009971668864\n            ],\n            [\n              -77.04138522850623,\n              38.98872345249413\n            ],\n            [\n              -77.04290304336561,\n              38.992144649622986\n            ],\n            [\n              -77.0404745395907,\n              38.99639142288967\n            ],\n            [\n              -77.04867073983209,\n              38.98978522102479\n            ],\n            [\n              -77.05079568063533,\n              38.99084697362724\n            ],\n            [\n              -77.05868831790507,\n              38.99002116742426\n            ],\n            [\n              -77.06005435127858,\n              38.99558482226311\n            ],\n            [\n              -77.05990256979246,\n              38.99841589512937\n            ],\n            [\n              -77.05838475493309,\n              38.999005687719915\n            ],\n            [\n              -77.05868831790475,\n              39.001364808919305\n            ],\n            [\n              -77.05701872155926,\n              39.00219048275622\n            ],\n            [\n              -77.05717050304536,\n              39.004549497764316\n            ],\n            [\n              -77.05868831790475,\n              39.00679048916183\n            ],\n            [\n              -77.05519734372821,\n              39.00985699392339\n            ],\n            [\n              -77.05853653641918,\n              39.01398477116564\n            ],\n            [\n              -77.06142038465242,\n              39.01410270411884\n            ],\n            [\n              -77.06597382923057,\n              39.008913468156976\n            ],\n            [\n              -77.06354532545568,\n              39.00844170055299\n            ],\n            [\n              -77.06354532545568,\n              39.00384180152139\n            ],\n            [\n              -77.06597382923057,\n              38.994759071341946\n            ],\n            [\n              -77.06415245139955,\n              38.99310754059266\n            ],\n            [\n              -77.06354532545568,\n              38.987444856857394\n            ],\n            [\n              -77.06081325870855,\n              38.9846133451006\n            ],\n            [\n              -77.05565268818599,\n              38.98626507405575\n            ],\n            [\n              -77.0532241844105,\n              38.98425939816772\n            ],\n            [\n              -77.05231349549496,\n              38.98001189694304\n            ],\n            [\n              -77.05474199927075,\n              38.966000909588786\n            ],\n            [\n              -77.05504556224298,\n              38.96411267596386\n            ],\n            [\n              -77.05428665481298,\n              38.96139825195567\n            ],\n            [\n              -77.05595625115848,\n              38.96116221017033\n            ],\n            [\n              -77.0561080326446,\n              38.95891977399188\n            ],\n            [\n              -77.05914366236394,\n              38.95632318028228\n            ],\n            [\n              -77.05777762899008,\n              38.9543166563391\n            ],\n            [\n              -77.05459021778523,\n              38.951719893961695\n            ],\n            [\n              -77.05185815103754,\n              38.94817870102622\n            ],\n            [\n              -77.05200993252365,\n              38.946408038214685\n            ],\n            [\n              -77.05018855469203,\n              38.943220733700144\n            ],\n            [\n              -77.04563511011274,\n              38.94305234029056\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.39046199649644,\n              38.53533351006055\n            ],\n            [\n              -77.38621211488939,\n              38.54435620665325\n            ],\n            [\n              -77.38955130758036,\n              38.55290298041311\n            ],\n            [\n              -77.3828729221984,\n              38.562872932455605\n            ],\n            [\n              -77.37376603304094,\n              38.56026188819865\n            ],\n            [\n              -77.36890902549057,\n              38.557650749085866\n            ],\n            [\n              -77.36587339577123,\n              38.5533777713901\n            ],\n            [\n              -77.35524869175438,\n              38.55788812928782\n            ],\n            [\n              -77.34098123207434,\n              38.55503951511915\n            ],\n            [\n              -77.33673135046783,\n              38.5664332944811\n            ],\n            [\n              -77.32883871319815,\n              38.573316160885355\n            ],\n            [\n              -77.33066009102916,\n              38.584707042609864\n            ],\n            [\n              -77.33369572074852,\n              38.589927259664364\n            ],\n            [\n              -77.33490997263625,\n              38.5946725822034\n            ],\n            [\n              -77.34098123207434,\n              38.6022644458493\n            ],\n            [\n              -77.36040926227699,\n              38.608195030587325\n            ],\n            [\n              -77.37012327737831,\n              38.61246474810184\n            ],\n            [\n              -77.3874263667771,\n              38.6134135397092\n            ],\n            [\n              -77.39835463376617,\n              38.62100342082343\n            ],\n            [\n              -77.41292565641788,\n              38.62977821968596\n            ],\n            [\n              -77.43174656067663,\n              38.636180773601154\n            ],\n            [\n              -77.43903207200248,\n              38.633335264677925\n            ],\n            [\n              -77.43963919794633,\n              38.627169607860736\n            ],\n            [\n              -77.436603568227,\n              38.61792012848079\n            ],\n            [\n              -77.43296081256437,\n              38.61365073564974\n            ],\n            [\n              -77.42840736798566,\n              38.60890666781839\n            ],\n            [\n              -77.42446104935078,\n              38.6065345162657\n            ],\n            [\n              -77.4235503604347,\n              38.60107827008707\n            ],\n            [\n              -77.42628242718182,\n              38.59775687365416\n            ],\n            [\n              -77.4271931160979,\n              38.590876349264335\n            ],\n            [\n              -77.43083587176055,\n              38.58518162347909\n            ],\n            [\n              -77.42962161987337,\n              38.58233409122164\n            ],\n            [\n              -77.4256753012385,\n              38.5749774436467\n            ],\n            [\n              -77.4271931160979,\n              38.5688067711684\n            ],\n            [\n              -77.42749667906958,\n              38.56097400058496\n            ],\n            [\n              -77.42506817529464,\n              38.557175986328446\n            ],\n            [\n              -77.42415748637856,\n              38.54744265880842\n            ],\n            [\n              -77.41231853047398,\n              38.55005416870242\n            ],\n            [\n              -77.40867577481137,\n              38.54886713050905\n            ],\n            [\n              -77.40260451537269,\n              38.54815489818566\n            ],\n            [\n              -77.4019973894288,\n              38.5419819225458\n            ],\n            [\n              -77.39046199649644,\n              38.53533351006055\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d305bae4b0518e35468d25","contributors":{"authors":[{"text":"Grant, Evan H. Campbell ehgrant@usgs.gov","contributorId":146545,"corporation":false,"usgs":true,"family":"Grant","given":"Evan H. Campbell","email":"ehgrant@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":568208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiewel, Amber N. M. awiewel@usgs.gov","contributorId":146573,"corporation":false,"usgs":true,"family":"Wiewel","given":"Amber N. M.","email":"awiewel@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":568330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":1998,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":false,"id":568331,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155023,"text":"70155023 - 2014 - Seismometer Self-Noise and Measuring Methods","interactions":[],"lastModifiedDate":"2016-08-31T12:00:57","indexId":"70155023","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Seismometer Self-Noise and Measuring Methods","docAbstract":"<p><span>Seismometer self-noise is usually not considered when selecting and using seismic waveform data in scientific research as it is typically assumed that the self-noise is negligibly small compared to seismic signals. However, instrumental noise is part of the noise in any seismic record, and in particular, at frequencies below a few mHz, the instrumental noise has a frequency-dependent character and may dominate the noise. When seismic noise itself is considered as a carrier of information, as in seismic interferometry (e.g., Chaput et al.&nbsp;</span><span class=\"CitationRef\"><a href=\"http://link.springer.com/referenceworkentry/10.1007%2F978-3-642-36197-5_175-1#CR5\">2012</a></span><span>), it becomes extremely important to estimate the contribution of instrumental noise to the recordings.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Earthquake Engineering","language":"English","publisher":"Springer Berlin Heidelberg","doi":"10.1007/978-3-642-36197-5_175-1","collaboration":"R. Sleeman; C. R. Hutt; L. S. Gee","usgsCitation":"Ringler, A.T., R. Sleeman, Hutt, C.R., and Gee, L.S., 2014, Seismometer Self-Noise and Measuring Methods, chap. <i>of</i> Encyclopedia of Earthquake Engineering, p. 1-13, https://doi.org/10.1007/978-3-642-36197-5_175-1.","productDescription":"14 p.","startPage":"1","endPage":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052770","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":328127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305672,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/referenceworkentry/10.1007/978-3-642-36197-5_175-1"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-24","publicationStatus":"PW","scienceBaseUri":"57c7ffbee4b0f2f0cebfc334","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":564695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"R. Sleeman","contributorId":145584,"corporation":false,"usgs":false,"family":"R. Sleeman","affiliations":[{"id":16158,"text":"Royal Netherlands Meteorological Institute","active":true,"usgs":false}],"preferred":false,"id":564696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":564697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gee, Lind S. lgee@usgs.gov","contributorId":145579,"corporation":false,"usgs":true,"family":"Gee","given":"Lind","email":"lgee@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":564698,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70141751,"text":"70141751 - 2014 - Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","interactions":[],"lastModifiedDate":"2015-03-06T10:12:29","indexId":"70141751","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1724,"text":"GSA Field Guides","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping","docAbstract":"<p id=\"p-1\">Examination of key outcrops in the eastern Blue Ridge in southern Virginia and northwestern North Carolina is used to evaluate existing stratigraphic and structural models. Recent detailed mapping along the Blue Ridge Parkway and the eastern flank of the Mount Rogers massif provides the opportunity to (1) evaluate legacy data and interpretations and (2) formulate new ideas for regional correlation of eastern Blue Ridge geology.</p>\n<p id=\"p-2\">Lynchburg Group rocks in central Virginia (metagraywacke, quartzite, graphitic schist, amphibolite, and ultramafic rocks) carry southward along strike where they transition with other units. Wills Ridge Formation consists of graphitic schist, metagraywacke, and metaconglomerate, and marks the western boundary of the eastern Blue Ridge. The Ashe Formation consists of conglomeratic metagraywacke in southern Virginia, and mica gneiss, mica schist, and ultramafic rocks in North Carolina. The overlying Alligator Back Formation shows characteristic compositional pin-striped layers in mica gneiss, schist, and amphibolite.</p>\n<p id=\"p-3\">The contact between eastern Blue Ridge stratified rocks above Mesoproterozoic basement rocks is mostly faulted (Gossan Lead and Red Valley). The Callaway fault juxtaposes Ashe and Lynchburg rocks above Wills Ridge Formation. Alligator Back Formation rocks overlie Ashe and Lynchburg rocks along the Rock Castle Creek fault, which juxtaposes rocks of different metamorphism. The fault separates major structural domains: rocks with one penetrative foliation in the footwall, and pin-striped recrystallized compositional layering, superposed penetrative foliations, and cleavage characterize the hanging wall. These relationships are ambiguous along strike to the southwest, where the Ashe and Alligator Back formations are recrystallized at higher metamorphic grades.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/2014.0035(07)","usgsCitation":"Carter, M.W., and Merschat, A.J., 2014, Stratigraphy, structure and regional correlation of eastern Blue Ridge sequences in southern Virginia and northwestern North Carolina: an interim report from new USGS mapping: GSA Field Guides, v. 35, p. 215-241, https://doi.org/10.1130/2014.0035(07).","productDescription":"27 p.","startPage":"215","endPage":"241","numberOfPages":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054099","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":298319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.4581298828125,\n              36.45000844447082\n            ],\n            [\n              -81.4581298828125,\n              37.13842453422676\n            ],\n            [\n              -80.08209228515625,\n              37.13842453422676\n            ],\n            [\n              -80.08209228515625,\n              36.45000844447082\n            ],\n            [\n              -81.4581298828125,\n              36.45000844447082\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-01","publicationStatus":"PW","scienceBaseUri":"54faddbce4b02419550db6e2","contributors":{"authors":[{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":540998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":540999,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189782,"text":"70189782 - 2014 - CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning","interactions":[],"lastModifiedDate":"2017-07-26T11:02:38","indexId":"70189782","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning","docAbstract":"<p><span>Real-time applications such as earthquake early warning (EEW) typically use empirical ground-motion prediction equations (GMPEs) along with event magnitude and source-to-site distances to estimate expected shaking levels. In this simplified approach, effects due to finite-fault geometry, directivity and site and basin response are often generalized, which may lead to a significant under- or overestimation of shaking from large earthquakes (</span><i>M</i><span>&nbsp;&gt;&nbsp;6.5) in some locations. For enhanced site-specific ground-motion predictions considering 3-D wave-propagation effects, we develop support vector regression (SVR) models from the SCEC CyberShake low-frequency (&lt;0.5 Hz) and broad-band (0–10 Hz) data sets. CyberShake encompasses 3-D wave-propagation simulations of&nbsp;&gt;415&nbsp;000 finite-fault rupture scenarios (6.5 ≤<span>&nbsp;</span></span><i>M</i><span><span>&nbsp;</span>≤ 8.5) for southern California defined in UCERF 2.0. We use CyberShake to demonstrate the application of synthetic waveform data to EEW as a ‘proof of concept’, being aware that these simulations are not yet fully validated and might not appropriately sample the range of rupture uncertainty. Our regression models predict the maximum and the temporal evolution of instrumental intensity (MMI) at 71 selected test sites using only the hypocentre, magnitude and rupture ratio, which characterizes uni- and bilateral rupture propagation. Our regression approach is completely data-driven (where here the CyberShake simulations are considered data) and does not enforce pre-defined functional forms or dependencies among input parameters. The models were established from a subset (∼20&nbsp;per cent) of CyberShake simulations, but can explain MMI values of all&nbsp;&gt;400 k rupture scenarios with a standard deviation of about 0.4 intensity units. We apply our models to determine threshold magnitudes (and warning times) for various active faults in southern California that earthquakes need to exceed to cause at least ‘moderate’, ‘strong’ or ‘very strong’ shaking in the Los Angeles (LA) basin. These thresholds are used to construct a simple and robust EEW algorithm: to declare a warning, the algorithm only needs to locate the earthquake and to verify that the corresponding magnitude threshold is exceeded. The models predict that a relatively moderate<span>&nbsp;</span></span><i>M</i><span>6.5–7 earthquake along the Palos Verdes, Newport-Inglewood/Rose Canyon, Elsinore or San Jacinto faults with a rupture propagating towards LA could cause ‘very strong’ to ‘severe’ shaking in the LA basin; however, warning times for these events could exceed 30 s.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggu198","usgsCitation":"Bose, M., Graves, R., Gill, D., Callaghan, S., and Maechling, P.J., 2014, CyberShake-derived ground-motion prediction models for the Los Angeles region with application to earthquake early warning: Geophysical Journal International, v. 198, no. 3, p. 1438-1457, https://doi.org/10.1093/gji/ggu198.","productDescription":"20 p.","startPage":"1438","endPage":"1457","ipdsId":"IP-054646","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473293,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1093/gji/ggu198","text":"External Repository"},{"id":344321,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119,\n              33\n            ],\n            [\n              -117,\n              33\n            ],\n            [\n              -117,\n              35\n            ],\n            [\n              -119,\n              35\n            ],\n            [\n              -119,\n              33\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"198","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-03","publicationStatus":"PW","scienceBaseUri":"5979aa58e4b0ec1a488b8c3f","contributors":{"authors":[{"text":"Bose, Maren","contributorId":195135,"corporation":false,"usgs":false,"family":"Bose","given":"Maren","affiliations":[],"preferred":false,"id":706331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":706330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gill, David","contributorId":195159,"corporation":false,"usgs":false,"family":"Gill","given":"David","email":"","affiliations":[],"preferred":false,"id":706332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Callaghan, Scott","contributorId":195136,"corporation":false,"usgs":false,"family":"Callaghan","given":"Scott","email":"","affiliations":[],"preferred":false,"id":706333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maechling, Phillip J.","contributorId":117072,"corporation":false,"usgs":false,"family":"Maechling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":706334,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156788,"text":"70156788 - 2014 - Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene","interactions":[],"lastModifiedDate":"2018-02-20T13:39:35","indexId":"70156788","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":62,"text":"Proceedings","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-P-71","title":"Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Forest conservation and management in the Anthropocene: Conference proceedings","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Agriculture: Rocky Mountain Research Station","usgsCitation":"Allen, C.D., 2014, Forest ecosystem reorganization underway in the Southwestern US: A preview of widespread forest changes in the Anthropocene: Proceedings RMRS-P-71, 20 p.","productDescription":"20 p.","startPage":"103","endPage":"122","ipdsId":"IP-058454","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350429,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/46127"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeee23e4b0da30c1bfc760","contributors":{"editors":[{"text":"Sample, V. Alaric","contributorId":33637,"corporation":false,"usgs":false,"family":"Sample","given":"V.","email":"","middleInitial":"Alaric","affiliations":[{"id":35996,"text":"Pinchot Institute for Conservation, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":725488,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Bixler, R. Patrick","contributorId":98327,"corporation":false,"usgs":false,"family":"Bixler","given":"R.","email":"","middleInitial":"Patrick","affiliations":[{"id":35996,"text":"Pinchot Institute for Conservation, Washington, DC","active":true,"usgs":false}],"preferred":false,"id":725489,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":570547,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70177809,"text":"70177809 - 2014 - Impact of increasing market access on a tropical small-scale fishery","interactions":[],"lastModifiedDate":"2016-10-21T15:25:26","indexId":"70177809","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5220,"text":"Marine Policy","active":true,"publicationSubtype":{"id":10}},"title":"Impact of increasing market access on a tropical small-scale fishery","docAbstract":"<p><span>Small-scale fisheries have historically been marginalized in management and policy investments, and they often remain under-reported in national economic and fisheries statistics. Even so, small-scale fisheries are not entirely buffered from the impacts of globalization, such as the introduction and expansion of markets. This study measures the long-term impact of market-access on a coastal fishery on Nicaragua׳s remote Atlantic Coast from approximately the time when fishermen had access to stable and predictable local markets until the present, when the region has been transformed by road connection. In the last four years, fisheries trade has expanded as road connection has facilitated export to distant markets. Fishery-independent surveys were used to measure changes in indicators of fish-community status such as length-frequency, mean trophic level, and relative biomass. Species-level changes in relative biomass of common snook </span><i>Centropomus undecimalis</i><span> and gafftopsail catfish </span><i>Bagre marinus</i><span> were also evaluated since these species are the most economically valuable and likely account for the most fish biomass in the system. Using historical records, reports, current observations and interviews, changes in indicators of fishing intensity and market access over the past 17 years were assessed. From 1994 to 2011, community and species-specific metrics of the lagoon fishery declined significantly across all indicators examined. The potential social and economic outcomes of the decline in the fishery are far-reaching for the region, because this tropical fishery comprises the main source of protein and income for residents of twelve indigenous and Afro-descendent communities.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpol.2014.05.007","usgsCitation":"Stevens, K., Irwin, B.J., Kramer, D., and Urquhart, G., 2014, Impact of increasing market access on a tropical small-scale fishery: Marine Policy, v. 50, no. A, p. 46-52, https://doi.org/10.1016/j.marpol.2014.05.007.","productDescription":"7 p.","startPage":"46","endPage":"52","ipdsId":"IP-054898","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"A","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5810c919e4b0f497e7973eec","contributors":{"authors":[{"text":"Stevens, Kara","contributorId":176196,"corporation":false,"usgs":false,"family":"Stevens","given":"Kara","email":"","affiliations":[],"preferred":false,"id":651851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":651849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kramer, Daniel","contributorId":176197,"corporation":false,"usgs":false,"family":"Kramer","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":651852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Urquhart, Gerald","contributorId":176198,"corporation":false,"usgs":false,"family":"Urquhart","given":"Gerald","email":"","affiliations":[],"preferred":false,"id":651853,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178389,"text":"70178389 - 2014 - Water quality monitoring protocol for wadeable streams and rivers in the Northern Great Plains Network","interactions":[],"lastModifiedDate":"2018-02-12T13:26:08","indexId":"70178389","displayToPublicDate":"2014-01-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NGPN/NRR—2014/868","title":"Water quality monitoring protocol for wadeable streams and rivers in the Northern Great Plains Network","docAbstract":"Preserving the national parks unimpaired for the enjoyment of future generations is a fundamental purpose of the National Park Service (NPS). To address growing concerns regarding the overall physical, chemical, and biological elements and processes of park ecosystems, the NPS implemented science-based management through “Vital Signs” monitoring in 270 national parks (NPS 2007). The Northern Great Plains Network (NGPN) is among the 32 National Park Service Networks participating in this monitoring effort. The NGPN will develop protocols over the next several years to determine the overall health or condition of resources within 13 parks located in Nebraska, North Dakota, South Dakota, and Wyoming.\nThe NGPN identified water resources as a Vital Sign to monitor because water quality and quantity are important aspects of ecological processes that operate across multiple temporal and spatial scales. In the semi-arid region of the Northern Great Plains, surface-water resources within the NGPN are ecologically important. The 13 parks within the NGPN are diverse and vary greatly in size, visitation, and water resources. For example, the measured surface area of the Badlands National Park is about 243,000 acres, which represents nearly one-half of the combined acreage of all 13 NGPN park units; however, water resources within the park are scarce and the majority of streams are intermittent. The Badlands National Park annually hosts nearly 860,000 visitors. Mount Rushmore National Memorial also has limited water resources but hosts nearly 3 million visitors per year within its 1,278 acres. The Missouri National Recreational River contains the greatest portion of waterbodies within the NGPN, consisting of 139 rivers and streams within an areal extent of about 69,000 acres. Although water resources and acreage of the NGPN parks are varied, unifying factors among the parks include the relatively low population density within the Great Plains area and the strong emphasis on agrarian land use throughout the region.\nTo address the diverse water quality concerns, NGPN received input from park staff and conducted pilot studies in 2009 and 2010. These factors, in combination with the NGPN budget allocations, resulted in development of the NGPN’s water quality monitoring protocol. This protocol will provide a context to aid park resource managers in their day-to-day decisions and allow the assessment of the status (current conditions) and trends (directional changes across time) of streams/rivers within selected NGPN parks. Data collected from integrating water resource monitoring, in combination with the inventory of additional Vital Signs, can be used to assess resources and to aid in sound managerial decisions by the NGPN parks.\nAs recommended by Oakley et al. (2003), this protocol provides a narrative and the rationale for selection of streams and rivers within the NGPN that will be measured for water quality, including dissolved oxygen, pH, specific conductivity, and temperature. Standard operating procedures (SOPs) that detail the steps to collect, manage, and disseminate the NGPN water quality data are in an accompanying document. The sampling design documented in this protocol may be updated as monitoring information is collected and interpreted, and as refinement of methodologies develop through time. In addition, evaluation of data and refinement of the program may necessitate potential changes of program objectives. Changes to the NGPN water quality protocols and SOPs will be carefully documented in a revision history log.","language":"English","publisher":"National Park Service","usgsCitation":"Wilson, M.H., Rowe, B.L., Gitzen, R.A., Wilson, S.K., and Paintner-Green, K.J., 2014, Water quality monitoring protocol for wadeable streams and rivers in the Northern Great Plains Network: Natural Resource Report NPS/NGPN/NRR—2014/868, xxi., 52p.","productDescription":"xxi., 52p.","ipdsId":"IP-042869","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":332301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331056,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2216799"}],"country":"United States","state":"Colorado, Montana, Nebraska, North Dakota, South Dakota","otherGeospatial":"Northern Great Plains ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.21826171874999,\n              42.27730877423709\n            ],\n            [\n              -100.5029296875,\n              40.17887331434696\n            ],\n            [\n              -103.22753906249999,\n              39.87601941962116\n            ],\n            [\n              -105.09521484375,\n              40.48038142908172\n            ],\n            [\n              -106.2158203125,\n              42.73087427928485\n            ],\n            [\n              -106.06201171875,\n              45.79816953017265\n            ],\n            [\n              -106.10595703125,\n              48.1367666796927\n            ],\n            [\n              -105.75439453125,\n              49.023461463214126\n            ],\n            [\n              -97.31689453125,\n              49.023461463214126\n            ],\n            [\n              -97.1630859375,\n              48.67645370777654\n            ],\n            [\n              -97.09716796875,\n              47.88688085106901\n            ],\n            [\n              -96.8115234375,\n              47.12995075666307\n            ],\n            [\n              -96.61376953125,\n              46.210249600187225\n            ],\n            [\n              -96.85546875,\n              45.66012730272194\n            ],\n            [\n              -96.416015625,\n              45.336701909968134\n            ],\n            [\n              -96.48193359375,\n              43.34116005412307\n            ],\n            [\n              -96.50390625,\n              42.601619944327965\n            ],\n            [\n              -96.328125,\n              42.374778361114195\n            ],\n            [\n              -96.21826171874999,\n              42.27730877423709\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5859000ae4b03639a6025e37","contributors":{"authors":[{"text":"Wilson, Marcia H.","contributorId":6149,"corporation":false,"usgs":true,"family":"Wilson","given":"Marcia","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":653915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowe, Barbara L. blrowe@usgs.gov","contributorId":2673,"corporation":false,"usgs":true,"family":"Rowe","given":"Barbara","email":"blrowe@usgs.gov","middleInitial":"L.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":653913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gitzen, Robert A.","contributorId":75498,"corporation":false,"usgs":true,"family":"Gitzen","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":653916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Stephen K.","contributorId":191011,"corporation":false,"usgs":false,"family":"Wilson","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":653917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paintner-Green, Kara J.","contributorId":176899,"corporation":false,"usgs":false,"family":"Paintner-Green","given":"Kara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":653914,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}