The Sacramento-San Joaquin Delta, California, (Delta) has been significantly altered since the mid-nineteenth century. Many existing channels have been widened or deepened and new channels have been created for navigation and water conveyance. Tidal marshes have been drained and leveed to form islands that have subsided, some of which have permanently flooded. To understand how these alterations have affected hydrodynamics and sediment transport in the Delta, we analysed measurements from 27 sites, along with other spatial data, and previous literature. Results show that: (a) the permanent flooding of islands results in an increase in the shear velocity of channels downstream, (b) artificial widening and deepening of channels generally results in a decrease in shear velocity except when the channel is also located downstream of a flooded island, (c) 1.5 Mt/year of sediment was deposited in the Delta (1997–2010), and of this deposited sediment, 0.31 Mt/year (21%) was removed through dredging.
","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the International Association of Hydrological Sciences","conferenceTitle":"International Association of Hydrological Sciences","conferenceDate":"11–14 December 2014","conferenceLocation":"New Orleans, Louisiana","language":"English","publisher":"International Association of Hydrological Sciences (IAHS)","doi":"10.5194/piahs-367-399-2015","collaboration":"BOR","usgsCitation":"Marineau, M.D., and Wright, S., 2015, Effects of human alterations on the hydrodynamics and sediment transport in the Sacramento-San Joaquin Delta, California, in Proceedings of the International Association of Hydrological Sciences, v. 367, New Orleans, Louisiana, 11–14 December 2014, p. 399-406, https://doi.org/10.5194/piahs-367-399-2015.","productDescription":"8 p.","startPage":"399","endPage":"406","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054154","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472226,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-367-399-2015","text":"Publisher Index Page"},{"id":312649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.76696777343749,\n 38.49444388772503\n ],\n [\n -121.47857666015625,\n 38.49444388772503\n ],\n [\n -121.30828857421875,\n 37.931200459333716\n ],\n [\n -121.4208984375,\n 37.80761398306056\n ],\n [\n -121.53350830078124,\n 37.77722770873696\n ],\n [\n -121.65435791015625,\n 37.88569271818349\n ],\n [\n -121.69830322265625,\n 38.004819966413194\n ],\n [\n -121.83837890625,\n 38.013476231041935\n ],\n [\n -121.84112548828125,\n 38.067554724225275\n ],\n [\n -121.717529296875,\n 38.151837403006766\n ],\n [\n -121.78619384765624,\n 38.39764411353181\n ],\n [\n -121.88507080078125,\n 38.436379603\n ],\n [\n -121.79992675781249,\n 38.49444388772503\n ],\n [\n -121.76696777343749,\n 38.49444388772503\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"367","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-03","publicationStatus":"PW","scienceBaseUri":"567930c6e4b0da412f4fb553","contributors":{"authors":[{"text":"Marineau, Mathieu D. 0000-0002-6568-0743 mmarineau@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-0743","contributorId":4954,"corporation":false,"usgs":true,"family":"Marineau","given":"Mathieu","email":"mmarineau@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545559,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70143510,"text":"70143510 - 2015 - Trophic cascades from wolves to grizzly bears or changing abundance of bears and alternate foods?","interactions":[],"lastModifiedDate":"2017-09-08T10:12:05","indexId":"70143510","displayToPublicDate":"2015-03-03T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Trophic cascades from wolves to grizzly bears or changing abundance of bears and alternate foods?","docAbstract":"This is a Forum article commenting on: Ripple, W. J., Beschta, R. L., Fortin, J. K., & Robbins, C. T. (2014) Trophic cascades from wolves to grizzly bears in Yellowstone. Journal of Animal Ecology, 83, 223–233. Comparisons Ripple et al. (2014) used to demonstrate increased fruit availability and consumption by grizzly bears post-wolf reintroduction are flawed and tenuous at best. Importantly, a more parsimonious (than trophic cascades) hypothesis, not sufficiently considered by Ripple et al., exists and is better supported by available data I review.
","language":"English","publisher":"Journal of Animal Ecology","doi":"10.1111/1365-2656.12338","usgsCitation":"Barber-Meyer, S., 2015, Trophic cascades from wolves to grizzly bears or changing abundance of bears and alternate foods?: Journal of Animal Ecology, v. 84, no. 3, 5 p., https://doi.org/10.1111/1365-2656.12338.","productDescription":"5 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054778","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472227,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12338","text":"Publisher Index Page"},{"id":298761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.2530517578125,\n 44.05601169578525\n ],\n [\n -109.94018554687499,\n 44.05601169578525\n ],\n [\n -109.94018554687499,\n 45.04635929200553\n ],\n [\n -111.2530517578125,\n 45.04635929200553\n ],\n [\n -111.2530517578125,\n 44.05601169578525\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"84","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-03","publicationStatus":"PW","scienceBaseUri":"550bf33be4b02e76d759ce0a","contributors":{"authors":[{"text":"Barber-Meyer, Shannon M. 0000-0002-3048-2616 sbarber-meyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":4422,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon M.","email":"sbarber-meyer@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":542728,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70142095,"text":"ds909 - 2015 - Hydrographic surveys at seven chutes and three backwaters on the Missouri River in Nebraska, Iowa, and Missouri, 2011-13","interactions":[],"lastModifiedDate":"2015-03-03T11:22:33","indexId":"ds909","displayToPublicDate":"2015-03-02T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"909","title":"Hydrographic surveys at seven chutes and three backwaters on the Missouri River in Nebraska, Iowa, and Missouri, 2011-13","docAbstract":"The U.S. Geological Survey cooperated with the U.S. Army Corps of Engineers (USACE), Omaha District, to complete hydrographic surveys of seven chutes and three backwaters on the Missouri River yearly during 2011–13. These chutes and backwaters were constructed by the USACE to increase the amount of available shallow water habitat (SWH) to support threatened and endangered species, as required by the amended “2000 Biological Opinion” on the operation of the Missouri River main-stem reservoir system. Chutes surveyed included Council chute, Plattsmouth chute, Tobacco chute, Upper Hamburg chute, Lower Hamburg chute, Kansas chute, and Deroin chute. Backwaters surveyed included Ponca backwater, Plattsmouth backwater, and Langdon backwater. Hydrographic data from these chute and backwater surveys will aid the USACE to assess the current (2011–13) amount of available SWH, the effects river flow have had on evolving morphology of the chutes and backwaters, and the functionality of the chute and backwater designs. Chutes and backwaters were surveyed from August through November 2011, June through November 2012, and May through October 2013. During the 2011 surveys, high water was present at all sites because of the major flooding on the Missouri River. The hydrographic survey data are published along with this report in comma-separated-values (csv) format with associated metadata.
\nHydrographic surveys included bathymetric and Real-Time Kinematic Global Navigation Satellite System surveys. Hydrographic data were collected along transects extending across the channel from top of bank to top of bank. Transect segments with water depths greater than 1 meter were surveyed using a single-beam echosounder to measure depth and a differentially corrected global positioning system to measure location. These depth soundings were converted to elevation using water-surface-elevation information collected with a Real-Time Kinematic Global Navigation Satellite System. Transect segments with water depths less than 1 meter were surveyed using Real-Time Kinematic Global Navigation Satellite Systems. Surveyed features included top of bank, toe of bank, edge of water, sand bars, and near-shore areas.
\nDischarge was measured at chute survey sites, in both the main channel of the Missouri River upstream from the chute and the chute. Many chute entrances and control structures were damaged by floodwater during the 2011 Missouri River flood, allowing a larger percentage of the total Missouri River discharge to flow through the chute than originally intended in the chute design. Measured discharge split between the main channel and the chute at most chutes was consistent with effects of the 2011 Missouri River flood damages and a larger percent of the total Missouri River discharge was flowing through the chute than originally intended. The U.S. Army Corps of Engineers repaired many of these chutes in 2012 and 2013, and the resulting hydraulic changes are reflected in the discharge splits.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds909","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Omaha District","usgsCitation":"Krahulik, J., Densmore, B.K., Anderson, K.J., and Kavan, C.L., 2015, Hydrographic surveys at seven chutes and three backwaters on the Missouri River in Nebraska, Iowa, and Missouri, 2011-13: U.S. Geological Survey Data Series 909, Report: vi, 28 p.; 10 Figures: 8.5 inches x 11 inches; GIS Datasets, https://doi.org/10.3133/ds909.","productDescription":"Report: vi, 28 p.; 10 Figures: 8.5 inches x 11 inches; GIS Datasets","startPage":"28","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-057194","costCenters":[{"id":464,"text":"Nebraska Water Science 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jkrahuli@usgs.gov","contributorId":5855,"corporation":false,"usgs":true,"family":"Krahulik","given":"Justin R.","email":"jkrahuli@usgs.gov","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Kayla J. kjanderson@usgs.gov","contributorId":5678,"corporation":false,"usgs":true,"family":"Anderson","given":"Kayla","email":"kjanderson@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science 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Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial synchrony in cisco recruitment","docAbstract":"We examined the spatial scale of recruitment variability for disparate cisco (Coregonus artedi) populations in the Great Lakes (n = 8) and Minnesota inland lakes (n = 4). We found that the scale of synchrony was approximately 400 km when all available data were utilized; much greater than the 50-km scale suggested for freshwater fish populations in an earlier global analysis. The presence of recruitment synchrony between Great Lakes and inland lake cisco populations supports the hypothesis that synchronicity is driven by climate and not dispersal. We also found synchrony in larval densities among three Lake Superior populations separated by 25–275 km, which further supports the hypothesis that broad-scale climatic factors are the cause of spatial synchrony. Among several candidate climate variables measured during the period of larval cisco emergence, maximum wind speeds exhibited the most similar spatial scale of synchrony to that observed for cisco. Other factors, such as average water temperatures, exhibited synchrony on broader spatial scales, which suggests they could also be contributing to recruitment synchrony. Our results provide evidence that abiotic factors can induce synchronous patterns of recruitment for populations of cisco inhabiting waters across a broad geographic range, and show that broad-scale synchrony of recruitment can occur in freshwater fish populations as well as those from marine systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2014.12.014","usgsCitation":"Myers, J., Yule, D.L., Jones, M.L., Ahrenstorff, T.D., Hrabik, T.R., Claramunt, R., Ebener, M.P., and Berglund, E., 2015, Spatial synchrony in cisco recruitment: Fisheries Research, v. 165, p. 11-21, https://doi.org/10.1016/j.fishres.2014.12.014.","productDescription":"11 p.","startPage":"11","endPage":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050718","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":298226,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Minnesota","otherGeospatial":"Great Lakes, Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.09716796875,\n 41.409775832009565\n ],\n [\n -97.09716796875,\n 49.009050809382046\n ],\n [\n -81.650390625,\n 49.009050809382046\n ],\n [\n -81.650390625,\n 41.409775832009565\n ],\n [\n -97.09716796875,\n 41.409775832009565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"165","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f589b1e4b02419550d2f35","contributors":{"authors":[{"text":"Myers, Jared T. 0009-0004-9362-8792","orcid":"https://orcid.org/0009-0004-9362-8792","contributorId":44055,"corporation":false,"usgs":false,"family":"Myers","given":"Jared T.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":541677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yule, Daniel L. dyule@usgs.gov","contributorId":139525,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","email":"dyule@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":541676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Michael L.","contributorId":139526,"corporation":false,"usgs":false,"family":"Jones","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":541678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahrenstorff, Tyler D.","contributorId":92559,"corporation":false,"usgs":false,"family":"Ahrenstorff","given":"Tyler","email":"","middleInitial":"D.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":541679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hrabik, Thomas R.","contributorId":35614,"corporation":false,"usgs":false,"family":"Hrabik","given":"Thomas","email":"","middleInitial":"R.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":541680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Claramunt, Randall M.","contributorId":19047,"corporation":false,"usgs":true,"family":"Claramunt","given":"Randall M.","affiliations":[],"preferred":false,"id":541681,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebener, Mark P.","contributorId":25099,"corporation":false,"usgs":false,"family":"Ebener","given":"Mark","email":"","middleInitial":"P.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":541682,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berglund, Eric K.","contributorId":67012,"corporation":false,"usgs":true,"family":"Berglund","given":"Eric K.","affiliations":[],"preferred":false,"id":541683,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70170326,"text":"70170326 - 2015 - Experimental flights using a small unmanned aircraft system for mapping emergent sandbars","interactions":[],"lastModifiedDate":"2016-04-18T10:46:24","indexId":"70170326","displayToPublicDate":"2015-03-02T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1859,"text":"Great Plains Research","active":true,"publicationSubtype":{"id":10}},"title":"Experimental flights using a small unmanned aircraft system for mapping emergent sandbars","docAbstract":"The US Geological Survey and Parallel Inc. conducted experimental flights with the Tarantula Hawk (T-Hawk) unmanned aircraft system (UAS ) at the Dyer and Cottonwood Ranch properties located along reaches of the Platte River near Overton, Nebraska, in July 2013. We equipped the T-Hawk UAS platform with a consumer-grade digital camera to collect imagery of emergent sandbars in the reaches and used photogrammetric software and surveyed control points to generate orthophotographs and digital elevation models (DEMS ) of the reaches. To optimize the image alignment process, we retained and/or eliminated tie points based on their relative errors and spatial resolution, whereby minimizing the total error in the project. Additionally, we collected seven transects that traversed emergent sandbars concurrently with global positioning system location data to evaluate the accuracy of the UAS survey methodology. The root mean square errors for the elevation of emergent points along each transect across the DEMS ranged from 0.04 to 0.12 m. If adequate survey control is established, a UAS combined with photogrammetry software shows promise for accurate monitoring of emergent sandbar morphology and river management activities in short (1–2 km) river reaches.
","language":"English","publisher":"University of Nebraska--Lincoln. Center for Great Plains Studies","publisherLocation":"Lincoln, NE","doi":"10.1353/gpr.2015.0018","usgsCitation":"Kinzel, P.J., Bauer, M., Feller, M.R., Holmquist-Johnson, C., and Preston, T., 2015, Experimental flights using a small unmanned aircraft system for mapping emergent sandbars: Great Plains Research, v. 25, no. 1, p. 39-52, https://doi.org/10.1353/gpr.2015.0018.","productDescription":"14 p.","startPage":"39","endPage":"52","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053315","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":320129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.45064544677734,\n 40.68138655718806\n ],\n [\n -99.45064544677734,\n 40.68724434319262\n ],\n [\n -99.43382263183594,\n 40.68724434319262\n ],\n [\n -99.43382263183594,\n 40.68138655718806\n ],\n [\n -99.45064544677734,\n 40.68138655718806\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.55973625183105,\n 40.679759303041855\n ],\n [\n -99.55973625183105,\n 40.683990081194764\n ],\n [\n -99.54733371734619,\n 40.683990081194764\n ],\n [\n -99.54733371734619,\n 40.679759303041855\n ],\n [\n -99.55973625183105,\n 40.679759303041855\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57160536e4b0ef3b7ca91ff4","contributors":{"authors":[{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":626879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bauer, Mark A. mabauer@usgs.gov","contributorId":1409,"corporation":false,"usgs":true,"family":"Bauer","given":"Mark A.","email":"mabauer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":626880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feller, Mark R. mrfeller@usgs.gov","contributorId":3904,"corporation":false,"usgs":true,"family":"Feller","given":"Mark","email":"mrfeller@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":626881,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holmquist-Johnson, Christopher 0000-0002-2782-7687 h-johnsonc@usgs.gov","orcid":"https://orcid.org/0000-0002-2782-7687","contributorId":168648,"corporation":false,"usgs":true,"family":"Holmquist-Johnson","given":"Christopher","email":"h-johnsonc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":626882,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Preston, Todd","contributorId":81379,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","affiliations":[],"preferred":false,"id":626883,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70139543,"text":"sir20155011 - 2015 - Evaluation of the effects of sewering on nitrogen loads to the Niantic River, southeastern Connecticut, 2005-2011","interactions":[],"lastModifiedDate":"2015-03-02T13:47:10","indexId":"sir20155011","displayToPublicDate":"2015-03-02T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5011","title":"Evaluation of the effects of sewering on nitrogen loads to the Niantic River, southeastern Connecticut, 2005-2011","docAbstract":"Nitrogen concentration data were collected from 20 wells near the Niantic River Estuary, during 18 sampling periods from 2005 through 2011, as part of a study to determine changes in nitrogen concentrations and loads as a result of sewering on the Pine Grove peninsula in Niantic, Connecticut. The Pine Grove peninsula area is a neighborhood of 35 acres containing 172 residences with onsite wastewater treatment systems at the beginning of the study in 2005. From 2008 through 2009, the residences were connected to a newly installed sewer system. Water-quality data collection continued from 2010 through 2011, after the sewers were installed.
\nThe peninsula is underlain by glacial stratified deposits. The freshwater in this aquifer ranges from 10 to 45 feet (ft) in thickness and overlies saline groundwater. The mean water-table altitude was from 0.09 to 0.97 ft above the North American Vertical Datum of 1988, with a horizontal hydraulic gradient of 0.0004 to 0.0005.
\nInitial sampling of the wells included analysis for nutrients, major ions, boron, bromide, and dissolved gases. Concentrations of nitrate plus nitrite nitrogen from the initial sampling ranged from 0.94 to 20 milligrams per liter (mg/L) in samples collected spatially and with depth in the aquifer. The mean concentration of total dissolved nitrogen before the sewers were installed was 7.5 mg/L, and dissolved gas analyses indicated little or no denitrification in the aquifer. Chloride to bromide ratios and boron analysis of the initial water samples confirmed that wastewater was a source of groundwater recharge to most of the wells. Annual recharge from onsite wastewater-disposal systems in 2006 was 4.98 inches, based on analysis of water-use data.
\nConcentrations of total dissolved nitrogen decreased following sewering in samples from most of the wells that were identified as having nitrogen related to wastewater discharge. Concentrations of total dissolved nitrogen in individual wells decreased by as much as 11.7 mg/L between the periods before and after the sewers were installed, and the mean concentration of total dissolved nitrogen in all wells decreased by 2.3 mg/L to a mean concentration of 5.2 mg/L.
\nNitrogen loads from groundwater in the Pine Grove peninsula area were estimated for three time periods by using the measured mean concentrations of total dissolved nitrogen and estimated recharge rates. The estimated nitrogen load before sewering was 1,675 pounds per year (lb/yr) and following sewering was 963 lb/yr. Mean concentrations of total dissolved nitrogen were assumed to have been reduced to 1.1 to 2.3 mg/L after the aquifer had stabilized and sewage-related nitrogen had been completely discharged from the system, with an estimated future load of 202 to 423 lb/yr.
\nNitrogen loads from groundwater discharge to the Niantic River Estuary from the lower part of the Niantic River watershed, including Pine Grove, were estimated to be 18,800 pounds (lb) in 2011. This compares with an additional 51,000 lb from the surface-water tributaries to the estuary and an unknown quantity of nitrogen load from stormwater runoff in the lower Niantic watershed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155011","collaboration":"Prepared in cooperation with the Connecticut Department of Energy and Environmental Protection","usgsCitation":"Mullaney, J.R., 2015, Evaluation of the effects of sewering on nitrogen loads to the Niantic River, southeastern Connecticut, 2005-2011: U.S. Geological Survey Scientific Investigations Report 2015-5011, vii, 30 p., https://doi.org/10.3133/sir20155011.","productDescription":"vii, 30 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2005-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-057160","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"links":[{"id":298197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155011.jpg"},{"id":298196,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5011/pdf/sir2015-5011.pdf","text":"Report","size":"2.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298195,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5011/"}],"country":"United States","state":"Connecticut","otherGeospatial":"Niantic River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.2024917602539,\n 41.321138395239565\n ],\n [\n -72.2024917602539,\n 41.372944119757406\n ],\n [\n -72.16747283935547,\n 41.372944119757406\n ],\n [\n -72.16747283935547,\n 41.321138395239565\n ],\n [\n -72.2024917602539,\n 41.321138395239565\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f589a9e4b02419550d2f2f","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":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539432,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70140748,"text":"ds921 - 2015 - Ground-based lidar beach topography of Fire Island, New York, April 2013","interactions":[],"lastModifiedDate":"2017-08-14T11:25:35","indexId":"ds921","displayToPublicDate":"2015-03-02T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"921","title":"Ground-based lidar beach topography of Fire Island, New York, April 2013","docAbstract":"The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center in Florida and the U.S. Army Corps of Engineers Field Research Facility in Duck, North Carolina, collaborated to gather alongshore ground-based lidar beach elevation data at Fire Island, New York. This high-resolution elevation dataset was collected on April 10, 2013, to characterize beach topography following substantial erosion that occurred during Hurricane Sandy, which made landfall on October 29, 2012, and multiple, strong winter storms. The ongoing beach monitoring is part of the Hurricane Sandy Supplemental Project GS2-2B. This USGS data series includes the resulting processed elevation point data (xyz) and an interpolated digital elevation model (DEM).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds921","usgsCitation":"Brenner, O.T., Hapke, C.J., Spore, N.J., Brodie, K.L., and McNinch, J., 2015, Ground-based lidar beach topography of Fire Island, New York, April 2013: U.S. Geological Survey Data Series 921, HTML Document, https://doi.org/10.3133/ds921.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-04-01","temporalEnd":"2013-04-30","ipdsId":"IP-060922","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":298194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds921.jpg"},{"id":344813,"rank":7,"type":{"id":18,"text":"Project Site"},"url":"https://coastal.er.usgs.gov/fire-island/research/sandy/","text":"Fire Island Coastal Change"},{"id":298188,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0921/"},{"id":342394,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/0921/ds921_data.html","text":"April 10, 2013 Dataset"},{"id":342395,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://dx.doi.org/10.5066/F77H1GNN","text":"April 1, 2014 Dataset"},{"id":298193,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0921/ds921_abstract.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Report"},{"id":344812,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://coastal.er.usgs.gov/data-release/doi-F7N29VV5/","text":"January 30, 2012 Dataset"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.26370239257812,\n 40.61812224225511\n ],\n [\n -73.26370239257812,\n 40.80237530523985\n ],\n [\n -72.65121459960938,\n 40.80237530523985\n ],\n [\n -72.65121459960938,\n 40.61812224225511\n ],\n [\n -73.26370239257812,\n 40.61812224225511\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f589aee4b02419550d2f31","contributors":{"authors":[{"text":"Brenner, Owen T. 0000-0002-1588-721X obrenner@usgs.gov","orcid":"https://orcid.org/0000-0002-1588-721X","contributorId":4933,"corporation":false,"usgs":true,"family":"Brenner","given":"Owen","email":"obrenner@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":541603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hapke, Cheryl J. 0000-0002-2753-4075 chapke@usgs.gov","orcid":"https://orcid.org/0000-0002-2753-4075","contributorId":2981,"corporation":false,"usgs":true,"family":"Hapke","given":"Cheryl","email":"chapke@usgs.gov","middleInitial":"J.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":true,"id":541604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spore, Nicholas J.","contributorId":139216,"corporation":false,"usgs":false,"family":"Spore","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":12700,"text":"ACE at Duck NC","active":true,"usgs":false}],"preferred":false,"id":541605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brodie, Katherine L.","contributorId":139217,"corporation":false,"usgs":false,"family":"Brodie","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":34410,"text":"USACE-Coastal Hydraulic Lab, Duck, NC","active":true,"usgs":false},{"id":12700,"text":"ACE at Duck NC","active":true,"usgs":false}],"preferred":false,"id":541607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNinch, Jesse E.","contributorId":93804,"corporation":false,"usgs":true,"family":"McNinch","given":"Jesse E.","affiliations":[],"preferred":false,"id":541606,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159463,"text":"70159463 - 2015 - At the crossroads: Hazard assessment and reduction of health risks from arsenic in private well waters of the northeastern United States and Atlantic Canada","interactions":[],"lastModifiedDate":"2019-12-11T16:02:55","indexId":"70159463","displayToPublicDate":"2015-03-02T01:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"At the crossroads: Hazard assessment and reduction of health risks from arsenic in private well waters of the northeastern United States and Atlantic Canada","docAbstract":"This special issue contains 12 papers that report on new understanding of arsenic (As) hydrogeochemistry, performance of household well water treatment systems, and testing and treatment behaviors of well users in several states of the northeastern region of the United States and Nova Scotia, Canada. The responsibility to ensure water safety of private wells falls on well owners. In the U.S., 43 million Americans, mostly from rural areas, use private wells. In order to reduce As exposure in rural populations that rely on private wells for drinking water, risk assessment, which includes estimation of population at risk of exposure to As above the EPA Maximum Contaminant Level, is helpful but insufficient because it does not identify individual households at risk. Persistent optimistic bias among well owners against testing and barriers such as cost of treatment mean that a large percentage of the population will not act to reduce their exposure to harmful substances such as As. If households are in areas with known As occurrence, a potentially large percentage of well owners will remain unaware of their exposure. To ensure that everyone, including vulnerable populations such as low income families with children and pregnant women, is not exposed to arsenic in their drinking water, alternative action will be required and warrants further research.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.scitotenv.2014.10.089","usgsCitation":"Zheng, Y., and Ayotte, J.D., 2015, At the crossroads: Hazard assessment and reduction of health risks from arsenic in private well waters of the northeastern United States and Atlantic Canada: Science of the Total Environment, v. 505, p. 1237-1247, https://doi.org/10.1016/j.scitotenv.2014.10.089.","productDescription":"11 p.","startPage":"1237","endPage":"1247","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060375","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"links":[{"id":472229,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4386837","text":"External Repository"},{"id":310904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","state":"Maine, New Hampshire, Massachusetts, Connecticut, Vermont, Pennsylvania, New Jersey, New Brunswick, Nova Scotia","otherGeospatial":"New England","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.1796875,\n 40.58058466412761\n ],\n [\n -70.751953125,\n 40.91351257612758\n ],\n [\n -69.12597656249999,\n 41.705728515237524\n ],\n [\n -68.5546875,\n 42.94033923363181\n ],\n [\n -63.54492187500001,\n 44.933696389694674\n ],\n [\n -62.9296875,\n 49.15296965617042\n ],\n [\n -67.8955078125,\n 48.10743118848039\n ],\n [\n -75.76171875,\n 42.52069952914966\n ],\n [\n -76.6845703125,\n 41.178653972331674\n ],\n [\n -74.1796875,\n 40.58058466412761\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"505","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56389746e4b0d6133fe72f9b","contributors":{"authors":[{"text":"Zheng, Yan","contributorId":99046,"corporation":false,"usgs":false,"family":"Zheng","given":"Yan","email":"","affiliations":[{"id":7255,"text":"City University of New York, Queens College","active":true,"usgs":false}],"preferred":false,"id":578975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","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":578974,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70157346,"text":"70157346 - 2015 - Higher-order statistical moments and a procedure that detects potentially anomalous years as two alternative methods describing alterations in continuous environmental data","interactions":[],"lastModifiedDate":"2017-11-22T18:01:31","indexId":"70157346","displayToPublicDate":"2015-03-02T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Higher-order statistical moments and a procedure that detects potentially anomalous years as two alternative methods describing alterations in continuous environmental data","docAbstract":"Statistics of central tendency and dispersion may not capture relevant or desired characteristics of the distribution of continuous phenomena and, thus, they may not adequately describe temporal patterns of change. Here, we present two methodological approaches that can help to identify temporal changes in environmental regimes. First, we use higher-order statistical moments (skewness and kurtosis) to examine potential changes of empirical distributions at decadal extents. Second, we adapt a statistical procedure combining a non-metric multidimensional scaling technique and higher density region plots to detect potentially anomalous years. We illustrate the use of these approaches by examining long-term stream temperature data from minimally and highly human-influenced streams. In particular, we contrast predictions about thermal regime responses to changing climates and human-related water uses. Using these methods, we effectively diagnose years with unusual thermal variability and patterns in variability through time, as well as spatial variability linked to regional and local factors that influence stream temperature. Our findings highlight the complexity of responses of thermal regimes of streams and reveal their differential vulnerability to climate warming and human-related water uses. The two approaches presented here can be applied with a variety of other continuous phenomena to address historical changes, extreme events, and their associated ecological responses.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-19-1169-2015","usgsCitation":"Arismendi, I., Johnson, S.L., and Dunham, J.B., 2015, Higher-order statistical moments and a procedure that detects potentially anomalous years as two alternative methods describing alterations in continuous environmental data: Hydrology and Earth System Sciences, v. 19, p. 1169-1180, https://doi.org/10.5194/hess-19-1169-2015.","productDescription":"12 p.","startPage":"1169","endPage":"1180","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056997","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":472230,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-19-1169-2015","text":"Publisher Index Page"},{"id":308333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":308307,"type":{"id":15,"text":"Index Page"},"url":"https://www.hydrol-earth-syst-sci.net/19/1169/2015/hess-19-1169-2015.html"}],"volume":"19","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-02","publicationStatus":"PW","scienceBaseUri":"56012a52e4b03bc34f544402","contributors":{"authors":[{"text":"Arismendi, Ivan","contributorId":70661,"corporation":false,"usgs":true,"family":"Arismendi","given":"Ivan","affiliations":[],"preferred":false,"id":572770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Sherri L.","contributorId":91757,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":572771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":572769,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70160104,"text":"70160104 - 2015 - Delicate balance of magmatic-tectonic interaction at Kilauea Volcano, Hawai`i, revealed from slow slip events: Chapter 13","interactions":[],"lastModifiedDate":"2017-04-19T13:45:07","indexId":"70160104","displayToPublicDate":"2015-03-01T16:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5371,"text":"Geophysical Monograph","active":true,"publicationSubtype":{"id":24}},"chapter":"13","title":"Delicate balance of magmatic-tectonic interaction at Kilauea Volcano, Hawai`i, revealed from slow slip events: Chapter 13","docAbstract":"Eleven slow slip events (SSEs) have occurred on the southern flank of Kilauea Volcano, Hawai’i, since 1997 through 2014. We analyze this series of SSEs in the context of Kilauea’s magma system to assess whether or not there are interactions between these tectonic events and eruptive/intrusive activity. Over time, SSEs have increased in magnitude and become more regular, with interevent times averaging 2.44 ± 0.15 years since 2003. Two notable SSEs that impacted both the flank and the magmatic system occurred in 2007, when an intrusion and small eruption on the East Rift Zone were part of a feedback with a SSE and 2012, when slow slip induced 2.5 cm of East Rift Zone opening (but without any change in eruptive activity). A summit inflation event and surge in East Rift Zone lava effusion was associated with a SSE in 2005, but the inferred triggering relation is not clear due to a poorly constrained slip onset time. Our results demonstrate that slow slip along Kilauea’s décollement has the potential to trigger and be triggered by activity within the volcano’s magma system. Since only three of the SSEs have been associated with changes in magmatic activity within the summit and rift zones, both the décollement and magma system must be close to failure for triggering to occur.
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2015 - Comparing models of Red Knot population dynamics","interactions":[],"lastModifiedDate":"2016-02-24T14:45:15","indexId":"70168685","displayToPublicDate":"2015-03-01T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Comparing models of Red Knot population dynamics","docAbstract":"Predictive population modeling contributes to our basic scientific understanding of population dynamics, but can also inform management decisions by evaluating alternative actions in virtual environments. Quantitative models mathematically reflect scientific hypotheses about how a system functions. In Delaware Bay, mid-Atlantic Coast, USA, to more effectively manage horseshoe crab (Limulus polyphemus) harvests and protect Red Knot (Calidris canutus rufa) populations, models are used to compare harvest actions and predict the impacts on crab and knot populations. Management has been chiefly driven by the core hypothesis that horseshoe crab egg abundance governs the survival and reproduction of migrating Red Knots that stopover in the Bay during spring migration. However, recently, hypotheses proposing that knot dynamics are governed by cyclical lemming dynamics garnered some support in data analyses. In this paper, I present alternative models of Red Knot population dynamics to reflect alternative hypotheses. Using 2 models with different lemming population cycle lengths and 2 models with different horseshoe crab effects, I project the knot population into the future under environmental stochasticity and parametric uncertainty with each model. I then compare each model's predictions to 10 yr of population monitoring from Delaware Bay. Using Bayes' theorem and model weight updating, models can accrue weight or support for one or another hypothesis of population dynamics. With 4 models of Red Knot population dynamics and only 10 yr of data, no hypothesis clearly predicted population count data better than another. The collapsed lemming cycle model performed best, accruing ~35% of the model weight, followed closely by the horseshoe crab egg abundance model, which accrued ~30% of the weight. The models that predicted no decline or stable populations (i.e. the 4-yr lemming cycle model and the weak horseshoe crab effect model) were the most weakly supported.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Club","publisherLocation":"Santa Clara","doi":"10.1650/CONDOR-15-9.1","usgsCitation":"McGowan, C.P., 2015, Comparing models of Red Knot population dynamics: The Condor, v. 117, no. 4, p. 494-502, https://doi.org/10.1650/CONDOR-15-9.1.","productDescription":"9 p.","startPage":"494","endPage":"502","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061278","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":472231,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-15-9.1","text":"Publisher Index Page"},{"id":318370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56cee255e4b015c306ec5e96","contributors":{"authors":[{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":621321,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70160775,"text":"70160775 - 2015 - From yellow perch to round goby: A review of double-crested cormorant diet and fish consumption at three St. Lawrence River colonies, 1999–2013","interactions":[],"lastModifiedDate":"2015-12-30T14:16:35","indexId":"70160775","displayToPublicDate":"2015-03-01T15:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"From yellow perch to round goby: A review of double-crested cormorant diet and fish consumption at three St. Lawrence River colonies, 1999–2013","docAbstract":"The number of double-crested cormorants (Phalacrocorax auritus) in the upper St. Lawrence River has increased markedly since the early 1990s. In 1999, a binational study was initiated to examine the annual diet composition and fish consumption of cormorants at colonies in the upper river. Since 1999, 14,032 cormorant pellets, collected from May through September each year, have been examined from St. Lawrence River colonies to estimate fish consumption and determine temporal and spatial variation in diet. Seasonal variation in diet composition within a colony was low. Prior to 2006 yellow perch was the primary fish consumed by cormorants in the upper St. Lawrence River. Round goby were first observed in cormorant diets in 2003 and by 2006 were the main fish consumed at two of the three colonies. The time interval it took from the first appearance of round goby in the diet at a colony to when goby were the dominant prey species varied by island, ranging from two to five years. Daily fish consumption at each cormorant colony increased significantly from the pre-round goby to post-round goby period. The mean annual biomass of yellow perch consumed decreased significantly during the post-round goby period at the three colonies. Reduced consumption of yellow perch by cormorants may alleviate suspected localized impacts on perch near some of the larger river colonies.
","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2014.12.011","collaboration":"New York State Department of Environmental Conservation; Ontario Ministry of Natural Resources","usgsCitation":"Johnson, J.H., Farquhar, J.F., Klindt, R.M., Mazzocchi, I., and Mathers, A., 2015, From yellow perch to round goby: A review of double-crested cormorant diet and fish consumption at three St. Lawrence River colonies, 1999–2013: Journal of Great Lakes Research, v. 41, no. 1, p. 259-265, https://doi.org/10.1016/j.jglr.2014.12.011.","productDescription":"7 p.","startPage":"259","endPage":"265","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060620","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York, Ontario","otherGeospatial":"Griswold Island, McNair Island, Strachan Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.79766845703125,\n 45.02889163330817\n ],\n [\n -74.77294921875,\n 44.97839955494438\n ],\n [\n -75.18768310546875,\n 44.853921768268776\n ],\n [\n -75.44036865234375,\n 44.68818283842486\n ],\n [\n -75.69580078125,\n 44.5063000997406\n ],\n [\n -75.78094482421875,\n 44.380802793578475\n ],\n [\n -75.9979248046875,\n 44.268804788566165\n ],\n [\n -76.0968017578125,\n 44.357242035876375\n ],\n [\n -75.70953369140625,\n 44.60415728007794\n ],\n [\n -75.36346435546874,\n 44.84029065139799\n ],\n [\n -74.915771484375,\n 45.061881623213026\n ],\n [\n -74.79766845703125,\n 45.02889163330817\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56850e9ae4b0a04ef4933927","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farquhar, James F.","contributorId":150969,"corporation":false,"usgs":false,"family":"Farquhar","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":583886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klindt, Rodger M","contributorId":115715,"corporation":false,"usgs":true,"family":"Klindt","given":"Rodger","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":583887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzocchi, Irene","contributorId":150832,"corporation":false,"usgs":false,"family":"Mazzocchi","given":"Irene","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":583888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mathers, Alastair","contributorId":36786,"corporation":false,"usgs":true,"family":"Mathers","given":"Alastair","email":"","affiliations":[],"preferred":false,"id":583889,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198332,"text":"70198332 - 2015 - Life in the main channel: long-term hydrologic control of microbial mat abundance in McMurdo Dry Valley streams, Antarctica","interactions":[],"lastModifiedDate":"2018-07-30T16:03:50","indexId":"70198332","displayToPublicDate":"2015-03-01T15:13:02","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Life in the main channel: long-term hydrologic control of microbial mat abundance in McMurdo Dry Valley streams, Antarctica","docAbstract":"Given alterations in global hydrologic regime, we examine the role of hydrology in regulating stream microbial mat abundance in the McMurdo Dry Valleys, Antarctica. Here, perennial mats persist as a desiccated crust until revived by summer streamflow, which varies inter-annually, and has increased since the 1990s. We predicted high flows to scour mats, and intra-seasonal drying to slow growth. Responses were hypothesized to differ based on mat location within streams, along with geomorphology, which may promote (high coverage) or discourage (low coverage) accrual. We compared hydrologic trends with the biomass of green and orange mats, which grow in the channel, and black mats growing at stream margins for 16 diverse stream transects over two decades. We found mat biomass collectively decreased during first decade coinciding with low flows, and increased following elevated discharges. Green mat biomass showed the greatest correlations with hydrology and was stimulated by discharge in high coverage transects, but negatively correlated in low coverage due to habitat scour. In contrast, orange mat biomass was negatively related to flow in high coverage transects, but positively correlated in low coverage because of side-channel expansion. Black mats were weakly correlated with all hydrologic variables regardless of coverage. Lastly, model selection indicated the best combination of predictive hydrologic variables for biomass differed between mat types, but also high and low coverage transects. These results demonstrate the importance of geomorphology and species composition to modeling primary production, and will be useful in predicting ecological responses of benthic habitats to altered hydrologic regimes.
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0000-0001-7946-0103 bbodenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":139354,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara L.","email":"bbodenstein@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":544102,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":544120,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":544096,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70162625,"text":"70162625 - 2015 - Risk assessment of brine contamination to aquatic resources from energy development in glacial drift deposits: Williston Basin, USA","interactions":[],"lastModifiedDate":"2016-01-27T13:38:31","indexId":"70162625","displayToPublicDate":"2015-03-01T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Risk assessment of brine contamination to aquatic resources from energy development in glacial drift deposits: Williston Basin, USA","docAbstract":"Contamination to aquatic resources from co-produced water (brine) associated with energy development has been documented in the northeastern portion of the Williston Basin; an area mantled by glacial drift. The presence and magnitude of brine contamination can be determined using the contamination index (CI) value from water samples. Recently, the U.S. Geological Survey published a section (~ 2.59 km2) level risk assessment of brine contamination to aquatic resources for Sheridan County, Montana, using oilfield and hydrogeological parameters.
\nOur goal was to improve the Sheridan County assessment (SCA) and evaluate the use of this new Williston Basin assessment (WBA) across 31 counties mantled by glacial drift in the Williston Basin. To determine if the WBA model improved the SCA model, results from both assessments were compared to CI values from 37 surface and groundwater samples collected to evaluate the SCA. The WBA (R2 = 0.65) outperformed the SCA (R2 = 0.52) indicating improved model performance. Applicability across the Williston Basin was evaluated by comparing WBA results to CI values from 123 surface water samples collected from 97 sections. Based on the WBA, the majority (83.5%) of sections lacked an oil well and had minimal risk. Sections with one or more oil wells comprised low (8.4%), moderate (6.5%), or high (1.7%) risk areas. The percentage of contaminated water samples, percentage of sections with at least one contaminated sample, and the average CI value of contaminated samples increased from low to high risk indicating applicability across the Williston Basin. Furthermore, the WBA performed better compared to only the contaminated samples (R2 = 0.62) versus all samples (R2 = 0.38). This demonstrates that the WBA was successful at identifying sections, but not individual aquatic resources, with an increased risk of contamination; therefore, WBA results can prioritize future sampling within areas of increased risk.
","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.scitotenv.2014.11.054","collaboration":"USFWS Region 6 Inventory and Monitoring Program","usgsCitation":"Preston, T.M., and Chesley-Preston, T.L., 2015, Risk assessment of brine contamination to aquatic resources from energy development in glacial drift deposits: Williston Basin, USA: Science of the Total Environment, v. 508, p. 534-545, https://doi.org/10.1016/j.scitotenv.2014.11.054.","productDescription":"12 p.","startPage":"534","endPage":"545","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059481","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":314928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.16259765625,\n 48.96579381461063\n ],\n [\n -109.40185546874999,\n 48.99463598353405\n ],\n [\n -109.57763671875,\n 47.82790816919327\n ],\n [\n -108.43505859374999,\n 47.635783590864854\n ],\n [\n -107.77587890625,\n 47.54687159892238\n ],\n [\n -106.8310546875,\n 47.7097615426664\n ],\n [\n -106.50146484374999,\n 48.019324184801185\n ],\n [\n -104.9853515625,\n 48.09275716032736\n ],\n [\n -104.765625,\n 48.04870994288686\n ],\n [\n -103.9306640625,\n 47.97521412341618\n ],\n [\n -103.71093749999999,\n 48.122101028190805\n ],\n [\n -103.447265625,\n 47.945786463687185\n ],\n [\n -103.1396484375,\n 48.1367666796927\n ],\n [\n -102.568359375,\n 48.03401915864286\n ],\n [\n -102.26074218749999,\n 47.66538735632654\n ],\n [\n -101.8212890625,\n 47.487513008956554\n ],\n [\n -101.337890625,\n 47.56170075451973\n ],\n [\n -101.337890625,\n 47.249406957888446\n ],\n [\n -100.986328125,\n 47.249406957888446\n ],\n [\n -100.8984375,\n 46.89023157359399\n ],\n [\n -100.5908203125,\n 46.51351558059737\n ],\n [\n -100.5029296875,\n 46.28622391806708\n ],\n [\n -100.6787109375,\n 46.10370875598026\n ],\n [\n -100.45898437499999,\n 45.96642454131025\n ],\n [\n -99.5361328125,\n 45.9511496866914\n ],\n [\n -98.228759765625,\n 45.96642454131025\n ],\n [\n -98.162841796875,\n 46.927758623434435\n ],\n [\n -97.987060546875,\n 47.71715357016648\n ],\n [\n -98.15185546874999,\n 48.29781249243716\n ],\n [\n -98.81103515625,\n 49.001843917978526\n ],\n [\n -99.16259765625,\n 48.96579381461063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"508","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56a9f84be4b012c193aa3edc","contributors":{"authors":[{"text":"Preston, Todd M. 0000-0002-8812-9233 tmpreston@usgs.gov","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":1664,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"tmpreston@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chesley-Preston, Tara L. tchesley-preston@usgs.gov","contributorId":5557,"corporation":false,"usgs":true,"family":"Chesley-Preston","given":"Tara","email":"tchesley-preston@usgs.gov","middleInitial":"L.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":589942,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70143179,"text":"70143179 - 2015 - Distance measures and optimization spaces in quantitative fatty acid signature analysis","interactions":[],"lastModifiedDate":"2018-04-23T10:22:40","indexId":"70143179","displayToPublicDate":"2015-03-01T14:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Distance measures and optimization spaces in quantitative fatty acid signature analysis","docAbstract":"Quantitative fatty acid signature analysis has become an important method of diet estimation in ecology, especially marine ecology. Controlled feeding trials to validate the method and estimate the calibration coefficients necessary to account for differential metabolism of individual fatty acids have been conducted with several species from diverse taxa. However, research into potential refinements of the estimation method has been limited. We compared the performance of the original method of estimating diet composition with that of five variants based on different combinations of distance measures and calibration-coefficient transformations between prey and predator fatty acid signature spaces. Fatty acid signatures of pseudopredators were constructed using known diet mixtures of two prey data sets previously used to estimate the diets of polar bears Ursus maritimus and gray seals Halichoerus grypus, and their diets were then estimated using all six variants. In addition, previously published diets of Chukchi Sea polar bears were re-estimated using all six methods. Our findings reveal that the selection of an estimation method can meaningfully influence estimates of diet composition. Among the pseudopredator results, which allowed evaluation of bias and precision, differences in estimator performance were rarely large, and no one estimator was universally preferred, although estimators based on the Aitchison distance measure tended to have modestly superior properties compared to estimators based on the Kullback-Leibler distance measure. However, greater differences were observed among estimated polar bear diets, most likely due to differential estimator sensitivity to assumption violations. Our results, particularly the polar bear example, suggest that additional research into estimator performance and model diagnostics is warranted.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.1429","usgsCitation":"Bromaghin, J.F., Rode, K.D., Budge, S.M., and Thiemann, G.W., 2015, Distance measures and optimization spaces in quantitative fatty acid signature analysis: Ecology and Evolution, v. 6, no. 5, p. 1249-1262, https://doi.org/10.1002/ece3.1429.","productDescription":"14 p.","startPage":"1249","endPage":"1262","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059904","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":472234,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.1429","text":"Publisher Index Page"},{"id":298624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-24","publicationStatus":"PW","scienceBaseUri":"5509502ee4b02e76d757e614","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":542494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":542495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budge, Suzanne M.","contributorId":92168,"corporation":false,"usgs":false,"family":"Budge","given":"Suzanne","email":"","middleInitial":"M.","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":542496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thiemann, Gregory W.","contributorId":83023,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":27291,"text":"York University, Toronto, ON","active":true,"usgs":false}],"preferred":false,"id":542497,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70150428,"text":"70150428 - 2015 - Importance of reservoir tributaries to spawning of migratory fish in the upper Paraná River","interactions":[],"lastModifiedDate":"2015-06-26T12:01:15","indexId":"70150428","displayToPublicDate":"2015-03-01T13:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Importance of reservoir tributaries to spawning of migratory fish in the upper Paraná River","docAbstract":"Regulation of rivers by dams transforms previously lotic reaches above the dam into lentic ones and limits or prevents longitudinal connectivity, which impairs access to suitable habitats for the reproduction of many migratory fish species. Frequently, unregulated tributaries can provide important habitat heterogeneity to a regulated river and may mitigate the influence of impoundments on the mainstem river. We evaluated the importance of tributaries to spawning of migratory fish species over three spawning seasons, by comparing several abiotic conditions and larval fish distributions in four rivers that are tributaries to an impounded reach of the Upper Parana River, Brazil. Our study confirmed reproduction of at least 8 long-distance migrators, likely nine, out of a total of 19 occurring in the Upper Parana River. Total larval densities and percentage species composition differed among tributaries, but the differences were not consistent among spawning seasons and unexpectedly were not strongly related to annual differences in temperature and hydrology. We hypothesize that under present conditions, densities of larvae of migratory species may be better related to efficiency of fish passage facilities than to temperature and hydrology. Our study indicates that adult fish are finding suitable habitat for spawning in tributaries, fish eggs are developing into larvae, and larvae are finding suitable rearing space in lagoons adjacent to the tributaries. Our findings also suggest the need for establishment of protected areas in unregulated and lightly regulated tributaries to preserve essential spawning and nursery habitats.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/rra.2755","usgsCitation":"da Silva, P.S., Makrakis, M.C., Miranda, L.E., Makrakis, S., Assumpcao, L., Paula, S., Dias, J.H., and Marques, H., 2015, Importance of reservoir tributaries to spawning of migratory fish in the upper Paraná River: River Research and Applications, v. 31, no. 3, p. 313-322, https://doi.org/10.1002/rra.2755.","productDescription":"10 p.","startPage":"313","endPage":"322","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049149","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":302320,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/rra.2755/abstract"}],"volume":"31","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-04-02","publicationStatus":"PW","scienceBaseUri":"558e77b7e4b0b6d21dd6595d","contributors":{"authors":[{"text":"da Silva, P. S.","contributorId":143807,"corporation":false,"usgs":false,"family":"da Silva","given":"P.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":557147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Makrakis, Maristela Cavicchioli","contributorId":90208,"corporation":false,"usgs":true,"family":"Makrakis","given":"Maristela","email":"","middleInitial":"Cavicchioli","affiliations":[],"preferred":false,"id":557148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Makrakis, Sergio","contributorId":95349,"corporation":false,"usgs":true,"family":"Makrakis","given":"Sergio","email":"","affiliations":[],"preferred":false,"id":557149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Assumpcao, L.","contributorId":143808,"corporation":false,"usgs":false,"family":"Assumpcao","given":"L.","email":"","affiliations":[],"preferred":false,"id":557150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paula, S.","contributorId":143809,"corporation":false,"usgs":false,"family":"Paula","given":"S.","affiliations":[],"preferred":false,"id":557151,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dias, Joao Henrique Pinheiro","contributorId":23843,"corporation":false,"usgs":true,"family":"Dias","given":"Joao","email":"","middleInitial":"Henrique Pinheiro","affiliations":[],"preferred":false,"id":557152,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marques, H.","contributorId":143810,"corporation":false,"usgs":false,"family":"Marques","given":"H.","email":"","affiliations":[],"preferred":false,"id":557153,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70150432,"text":"70150432 - 2015 - The role of depth in regulating water quality and fish assemblages in oxbow lakes","interactions":[],"lastModifiedDate":"2018-09-14T15:59:59","indexId":"70150432","displayToPublicDate":"2015-03-01T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"The role of depth in regulating water quality and fish assemblages in oxbow lakes","docAbstract":"We evaluated water quality and fish assemblages in deep (> 3.0 m; N = 7) and shallow (< 1.5 m; N = 6) floodplain lakes in the intensively cultivated Yazoo River Basin (Mississippi, USA) using indirect gradient multivariate procedures. Shallow lakes displayed wide diel oxygen fluctuations, some reaching hypoxic/anoxic conditions for extended periods of time, high suspended solids, and extreme water temperatures. Conversely, deeper lakes were represented by higher visibility, stable oxygen levels, and cooler water temperatures. Fish assemblages in shallow lakes were dominated by tolerant, small-bodied fishes and those able to breathe atmospheric oxygen. Deeper lakes had a greater representation of predators and other large-bodied fishes. Our evaluation suggests fish assemblages are reflective of oxbow lakes water quality, which is shaped by depth. Understanding the interactions between depth, water quality, and fish assemblages may facilitate development of effective management plans for improving conditions necessary to sustain diverse fish assemblages in agriculturally dominated basins.
","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10641-014-0330-z","usgsCitation":"Goetz, D.B., Miranda, L.E., Kroger, R., and Andrews, C.S., 2015, The role of depth in regulating water quality and fish assemblages in oxbow lakes: Environmental Biology of Fishes, v. 98, no. 3, p. 951-959, https://doi.org/10.1007/s10641-014-0330-z.","productDescription":"9 p.","startPage":"951","endPage":"959","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052899","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":302437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-03","publicationStatus":"PW","scienceBaseUri":"558e77bee4b0b6d21dd6597f","contributors":{"authors":[{"text":"Goetz, Daniel B.","contributorId":143784,"corporation":false,"usgs":false,"family":"Goetz","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":557079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroger, Robert","contributorId":143701,"corporation":false,"usgs":false,"family":"Kroger","given":"Robert","email":"","affiliations":[],"preferred":false,"id":557080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andrews, Caroline S.","contributorId":143700,"corporation":false,"usgs":false,"family":"Andrews","given":"Caroline","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":557081,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70142327,"text":"70142327 - 2015 - Plethodon cinerius (eastern red-backed salamander) movement","interactions":[],"lastModifiedDate":"2016-01-06T11:37:28","indexId":"70142327","displayToPublicDate":"2015-03-01T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Plethodon cinerius (eastern red-backed salamander) movement","docAbstract":"Lungless salamanders (family Plethodontidae) are relatively sedentary and are presumed to have limited dispersal ability (Marsh et al. 2004. Ecology 85:3396–3405). Site fidelity in Plethodontidae is high, and individuals displaced 90 m return to home territories (Kleeberger and Werner 1982. Copeia 1982:409–415). Individuals defend territories (Jaeger et al. 1982. Anim. Behav. 30:490–496) and female home ranges have been estimated to be 24.34 m2 (Kleeberger and Werner 1982, op. cit.). Females may seek out suitable subsurface habitat to oviposit eggs, yet little is known about their maximum movement distances (Petranka 1998. Salamanders of the United States and Canada. Smithsonian Institution Press, Washington. 587 pp.).
On 18 September 2014, a female P. cinereus (lead back morphotype; SVL = 44.68 mm; 0.89 g) was found under a coverboard during a standard sampling event and uniquely marked using visual implant elastomer at the S.O. Conte Anadromous Fish Research Center, Massachusetts, USA (42.59280°N, 72.58070°W, datum WGS84; elev. 74 m). This individual was subsequently recaptured at ~1500 h on 8 October 2014 under a coverboard within 3 m of the original capture location and then again ~1430 h on 16 October 2014 under a log, within the same forest patch, though in a 50 x 150 m area adjacent to the original study area. Because we found the marked salamander while collecting multiple individuals for a laboratory study, the exact recapture location of the marked individual is not known. However, the distance between the 8 October capture location and the nearest edge of the 16 October search area (i.e. 50 x 150 m) was 143 m, indicating a minimum movement distance. As far as we are aware, this is the longest recorded movement for P. cinereus by more than 53 m (Kleeberger and Werner 1982, op. cit.). This finding followed a rain event of 1.63 cm within 24 h and the second largest sustained rain event during October. The movement we observed may have been due to disturbance from handling and marking, although this was minimized in the field.
The surface velocities predicted by the conventional subduction model are compared to velocities measured in a GPS array (surveyed in 1993, 1995, 1997, 2000, and 2004) spanning the Prince William Sound asperity. The observed velocities in the comparison have been corrected to remove the contributions from postseismic (1964 Alaska earthquake) mantle relaxation. Except at the most seaward monument (located on Middleton Island at the seaward edge of the continental shelf, just 50 km landward of the deformation front in the Aleutian Trench), the corrected velocities qualitatively agree with those predicted by an improved, two-dimensional, back slip, subduction model in which the locked megathrust coincides with the plate interface identified by seismic refraction surveys, and the back slip rate is equal to the plate convergence rate. A better fit to the corrected velocities is furnished by either a back slip rate 20% greater than the plate convergence rate or a 30% shallower megathrust. The shallow megathrust in the latter fit may be an artifact of the uniform half-space Earth model used in the inversion. Backslip at the plate convergence rate on the megathrust mapped by refraction surveys would fit the data as well if the rigidity of the underthrust plate was twice that of the overlying plate, a rigidity contrast higher than expected. The anomalous motion at Middleton Island is attributed to continuous slip at near the plate convergence rate on a postulated, listric fault that splays off the megathrust at depth of about 12 km and outcrops on the continental slope south-southeast of Middleton Island.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Richmond, VA","doi":"10.1002/2014JB011652","usgsCitation":"Savage, J.C., Svarc, J.L., and Lisowski, M., 2015, Strain accumulation across the Prince William Sound asperity, Southcentral Alaska: Journal of Geophysical Research B: Solid Earth, v. 120, no. 3, p. 1820-1832, https://doi.org/10.1002/2014JB011652.","productDescription":"13 p.","startPage":"1820","endPage":"1832","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055343","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":472235,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014jb011652","text":"Publisher Index Page"},{"id":308440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-09","publicationStatus":"PW","scienceBaseUri":"5603cd5be4b03bc34f544b40","contributors":{"authors":[{"text":"Savage, James C. 0000-0002-5114-7673 jasavage@usgs.gov","orcid":"https://orcid.org/0000-0002-5114-7673","contributorId":2412,"corporation":false,"usgs":true,"family":"Savage","given":"James","email":"jasavage@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":572822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Svarc, Jerry L. 0000-0002-2802-4528 jsvarc@usgs.gov","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":2413,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"jsvarc@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":572823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lisowski, Michael 0000-0003-4818-2504 mlisowski@usgs.gov","orcid":"https://orcid.org/0000-0003-4818-2504","contributorId":637,"corporation":false,"usgs":true,"family":"Lisowski","given":"Michael","email":"mlisowski@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":572824,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155022,"text":"70155022 - 2015 - The data quality analyzer: a quality control program for seismic data","interactions":[],"lastModifiedDate":"2018-02-07T19:04:03","indexId":"70155022","displayToPublicDate":"2015-03-01T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"The data quality analyzer: a quality control program for seismic data","docAbstract":"The U.S. Geological Survey's Albuquerque Seismological Laboratory (ASL) has several initiatives underway to enhance and track the quality of data produced from ASL seismic stations and to improve communication about data problems to the user community. The Data Quality Analyzer (DQA) is one such development and is designed to characterize seismic station data quality in a quantitative and automated manner.
\nThe DQA consists of a metric calculator, a PostgreSQL database, and a Web interface: The metric calculator, SEEDscan, is a Java application that reads and processes miniSEED data and generates metrics based on a configuration file. SEEDscan compares hashes of metadata and data to detect changes in either and performs subsequent recalculations as needed. This ensures that the metric values are up to date and accurate. SEEDscan can be run as a scheduled task or on demand. The PostgreSQL database acts as a central hub where metric values and limited station descriptions are stored at the channel level with one-day granularity. The Web interface dynamically loads station data from the database and allows the user to make requests for time periods of interest, review specific networks and stations, plot metrics as a function of time, and adjust the contribution of various metrics to the overall quality grade of the station.
\nThe quantification of data quality is based on the evaluation of various metrics (e.g., timing quality, daily noise levels relative to long-term noise models, and comparisons between broadband data and event synthetics). Users may select which metrics contribute to the assessment and those metrics are aggregated into a “grade” for each station. The DQA is being actively used for station diagnostics and evaluation based on the completed metrics (availability, gap count, timing quality, deviation from a global noise model, deviation from a station noise model, coherence between co-located sensors, and comparison between broadband data and synthetics for earthquakes) on stations in the Global Seismographic Network and Advanced National Seismic System.
","language":"English","publisher":"Computer Oriented Geological Society","publisherLocation":"Oxford","doi":"10.1016/j.cageo.2014.12.006","usgsCitation":"Ringler, A.T., Hagerty, M., Holland, J., Gonzales, A., Gee, L.S., Edwards, J., Wilson, D.C., and Baker, A., 2015, The data quality analyzer: a quality control program for seismic data: Computers & Geosciences, v. 76, p. 96-111, https://doi.org/10.1016/j.cageo.2014.12.006.","productDescription":"16 p.","startPage":"96","endPage":"111","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061275","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":305952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b361b6e4b09a3b01b5dabb","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":564683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagerty, M.T.","contributorId":145577,"corporation":false,"usgs":false,"family":"Hagerty","given":"M.T.","email":"","affiliations":[{"id":13422,"text":"Boston College","active":true,"usgs":false}],"preferred":false,"id":564684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, James F. jholland@usgs.gov","contributorId":5334,"corporation":false,"usgs":true,"family":"Holland","given":"James F.","email":"jholland@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":564685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzales, A.","contributorId":145578,"corporation":false,"usgs":false,"family":"Gonzales","given":"A.","email":"","affiliations":[{"id":16157,"text":"Honeywell Technology Solutions Incoporation","active":true,"usgs":false}],"preferred":false,"id":564686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":564687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, J.D.","contributorId":69622,"corporation":false,"usgs":true,"family":"Edwards","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":564688,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":564689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baker, Adam ambaker@usgs.gov","contributorId":145581,"corporation":false,"usgs":true,"family":"Baker","given":"Adam","email":"ambaker@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":564690,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70155019,"text":"70155019 - 2015 - Evolution of pathogen virulence across space during an epidemic","interactions":[],"lastModifiedDate":"2015-07-24T10:59:00","indexId":"70155019","displayToPublicDate":"2015-03-01T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":740,"text":"American Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of pathogen virulence across space during an epidemic","docAbstract":"We explore pathogen virulence evolution during the spatial expansion of an infectious disease epidemic in the presence of a novel host movement trade-off, using a simple, spatially explicit mathematical model. This work is motivated by empirical observations of the Mycoplasma gallisepticum invasion into North American house finch (Haemorhous mexicanus) populations; however, our results likely have important applications to other emerging infectious diseases in mobile hosts. We assume that infection reduces host movement and survival and that across pathogen strains the severity of these reductions increases with pathogen infectiousness. Assuming these trade-offs between pathogen virulence (host mortality), pathogen transmission, and host movement, we find that pathogen virulence levels near the epidemic front (that maximize wave speed) are lower than those that have a short-term growth rate advantage or that ultimately prevail (i.e., are evolutionarily stable) near the epicenter and where infection becomes endemic (i.e., that maximize the pathogen basic reproductive ratio). We predict that, under these trade-offs, less virulent pathogen strains will dominate the periphery of an epidemic and that more virulent strains will increase in frequency after invasion where disease is endemic. These results have important implications for observing and interpreting spatiotemporal epidemic data and may help explain transient virulence dynamics of emerging infectious diseases.
","language":"English","publisher":"American Society of Naturalists","publisherLocation":"Salem, MA","doi":"10.1086/679734","usgsCitation":"Osnas, E.E., Hurtado, P.J., and Dobson, A.P., 2015, Evolution of pathogen virulence across space during an epidemic: American Naturalist, v. 185, no. 3, p. 332-342, https://doi.org/10.1086/679734.","productDescription":"11 p.","startPage":"332","endPage":"342","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059359","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472236,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1086/679734","text":"Publisher Index Page"},{"id":305950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55b361b0e4b09a3b01b5da9c","contributors":{"authors":[{"text":"Osnas, Erik E. 0000-0001-9528-0866 eosnas@usgs.gov","orcid":"https://orcid.org/0000-0001-9528-0866","contributorId":5586,"corporation":false,"usgs":true,"family":"Osnas","given":"Erik","email":"eosnas@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":564672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurtado, Paul J.","contributorId":145574,"corporation":false,"usgs":false,"family":"Hurtado","given":"Paul","email":"","middleInitial":"J.","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":564673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobson, Andrew P.","contributorId":63693,"corporation":false,"usgs":true,"family":"Dobson","given":"Andrew","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":564674,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048750,"text":"70048750 - 2015 - Hawaiian fissure fountains: Quantifying vent and shallow conduit geometry, episode 1 of the 1969-1974 Mauna Ulu eruption","interactions":[],"lastModifiedDate":"2022-12-29T15:39:25.607531","indexId":"70048750","displayToPublicDate":"2015-03-01T11:43:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"17","title":"Hawaiian fissure fountains: Quantifying vent and shallow conduit geometry, episode 1 of the 1969-1974 Mauna Ulu eruption","docAbstract":"Geometries of shallow magmatic pathways feeding volcanic eruptions are poorly constrained, yet many key interpretations about eruption dynamics depend on knowledge of these geometries. Direct quantification is difficult because vents typically become blocked with lava at the end of eruptions. Indirect geophysical techniques have shed light on some volcanic conduit geometries, but the scales are too coarse to resolve narrow fissures (widths typically 1 m). Kīlauea's Mauna Ulu eruption, which started with <50 m high Hawaiian fountains along a 4.5 km fissure on 24 May 1969, provides a unique opportunity to measure the detailed geometry of a shallow magmatic pathway, as the western vents remain unobstructed to depths >30 m. Direct measurements at the ground surface were augmented by tripod-mounted lidar measurements to quantify the shallow conduit geometry for three vents at a resolution <4 cm. We define the form of the fissure in terms of aspect ratio, flaring ratio, irregularity, sinuosity, and segmentation and discuss the factors influencing these parameters. In the past, simplified first-order fissure geometries have been used in computational modeling. Our data can provide more accurate conduit shapes for better understanding of shallow fissure fluid dynamics and how it controls eruptive behavior, especially if incorporated into computer models.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hawaiian volcanoes: From source to surface","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"AGU Chapman Conference","conferenceDate":"August 20-24, 2012","conferenceLocation":"Waikoloa, Hawai'i","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/9781118872079.ch17","usgsCitation":"Parcheta, C., Fagents, S., Swanson, D., Houghton, B.F., and Ericksen, T., 2015, Hawaiian fissure fountains: Quantifying vent and shallow conduit geometry, episode 1 of the 1969-1974 Mauna Ulu eruption, chap. 17 of Hawaiian volcanoes: From source to surface, v. 208, p. 369-391, https://doi.org/10.1002/9781118872079.ch17.","productDescription":"23 p.","startPage":"369","endPage":"391","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050831","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":311101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Ulu Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.21106719970703,\n 19.37253100428563\n ],\n [\n -155.1870346069336,\n 19.3741504184188\n ],\n [\n -155.18394470214844,\n 19.35520226587889\n ],\n [\n -155.20832061767578,\n 19.355364225230744\n ],\n [\n -155.21106719970703,\n 19.37253100428563\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"208","noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"563ddd41e4b0831b7d6271ed","contributors":{"editors":[{"text":"Carey, Rebecca","contributorId":121557,"corporation":false,"usgs":true,"family":"Carey","given":"Rebecca","affiliations":[],"preferred":false,"id":692144,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cayol, Valerie","contributorId":121509,"corporation":false,"usgs":false,"family":"Cayol","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":692145,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":127857,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":692146,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Weis, Dominique","contributorId":121531,"corporation":false,"usgs":true,"family":"Weis","given":"Dominique","affiliations":[],"preferred":false,"id":692147,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Parcheta, Carolyn","contributorId":115234,"corporation":false,"usgs":true,"family":"Parcheta","given":"Carolyn","affiliations":[],"preferred":false,"id":518229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fagents, Sarah","contributorId":116991,"corporation":false,"usgs":true,"family":"Fagents","given":"Sarah","affiliations":[],"preferred":false,"id":518230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Donald A. 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":3137,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":518226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":518228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ericksen, Todd","contributorId":25484,"corporation":false,"usgs":true,"family":"Ericksen","given":"Todd","affiliations":[],"preferred":false,"id":518227,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70160708,"text":"70160708 - 2015 - Distribution of native mussel (unionidae) assemblages in coastal areas of Lake Erie, Lake St. Clair, and connecting channels, twenty-five years after a dreissenid invasion","interactions":[],"lastModifiedDate":"2015-12-30T09:48:06","indexId":"70160708","displayToPublicDate":"2015-03-01T10:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of native mussel (unionidae) assemblages in coastal areas of Lake Erie, Lake St. Clair, and connecting channels, twenty-five years after a dreissenid invasion","docAbstract":"Over the past 25 years, unionid mussels in the Laurentian Great Lakes of North America have been adversely impacted by invasive dreissenid mussels, which directly (e.g., by attachment to unionid shells) and indirectly (e.g., by competing for food) cause mortality. Despite the invasion, unionids have survived in several areas in the presence of dreissenid mussels. We investigated current spatial patterns in these native mussel refuges based on surveys for unionid mussels across 48 sampling locations (141 sites) in 2011 and 2012, and documented species abundance and diversity in coastal areas of lakes St. Clair and Erie. The highest-quality assemblages of native mussels (densities, richness, and diversity) appear to be concentrated in the St. Clair delta, where abundance continues to decline, as well as in in Thompson Bay of Presque Isle in Lake Erie and in just a few coastal wetlands and drowned river-mouths in the western basin of Lake Erie. The discovery of several new refuge areas suggests that unionids have a broader distribution within the region than previously thought.
","language":"English","publisher":"BioOne","publisherLocation":"Steuben, ME","doi":"10.1656/045.022.0115","collaboration":"David T. Zanatta1*, Jonathan M. Bossenbroek2, Lyubov E. Burlakova3, Todd D. Crail2, Ferenc de Szalay4, Traci A. Griffith1, Douglas Kapusinski4, Alexander Y. Karatayev3, Robert A. Krebs5, Elizabeth S. Meyer6, Wendy L. Paterson1, Trevor J. Prescott5, Matthew T. Rowe1, Don W. Schloesser7, and Mary C. 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Domestic and commercial activities dispose of wastes down-the-drain, resulting in wastewater containing complex chemical mixtures that are only partially removed during treatment. A key issue associated with WWTP effluent discharge into streams is the potential to cause endocrine disruption in fish. This study provides a long-term (1999-2009) evaluation of the occurrence of alkylphenolic endocrine disrupting chemicals (EDCs) and other contaminants discharged from WWTPs into streams in the Great Lakes and Upper Mississippi River Regions (Indiana, Illinois, Michigan, Minnesota, and Ohio). The Greater Metropolitan Chicago Area Waterways, Illinois, were evaluated to determine contaminant concentrations in the major WWTP effluents and receiving streams, and assess the behavior of EDCs from their sources within the sewer collection system, through the major treatment unit processes at a WWTP, to their persistence and transport in the receiving stream. Water samples were analyzed for alkylphenolic EDCs and other contaminants, including 4-nonylphenol (NP), 4-nonylphenolpolyethoxylates (NPEO), 4-nonylphenolethoxycarboxylic acids (NPEC), 4-tert-octylphenol (OP), 4-tert-octylphenolpolyethoxylates (OPEO), bisphenol A, triclosan, ethylenediaminetetraacetic acid (EDTA), and trace elements. All of the compounds were detected in all of the WWTP effluents, with EDTA and NPEC having the greatest concentrations. The compounds also were detected in the WWTP effluent dominated rivers. Multiple fish species were collected from river and lake sites and analyzed for NP, NPEO, NPEC, OP, and OPEO. Whole-body fish tissue analysis indicated widespread occurrence of alkylphenolic compounds, with the highest concentrations occurring in streams with the greatest WWTP effluent content. Biomarkers of endocrine disruption in the fish indicated long-term exposure to estrogenic chemicals in the wastewater impacted urban waterways.
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