We provide an exact and approximation algorithm based on Dynamic Programming and an approximation algorithm based on Mixed Integer Programming for optimizing for the so-called dendritic connectivity on tree-structured networks in a multi-objective setting. Dendritic connectivity describes the degree of connectedness of a network. We consider different variants of dendritic connectivity to capture both network connectivity with respect to long and short-to-middle distances. Our work is motivated by a problem in computational sustainability concerning the evaluation of trade-offs in ecosystem services due to the proliferation of hydropower dams throughout the Amazon basin. In particular, we consider trade-offs between energy production and river connectivity. River fragmentation can dramatically affect fish migrations and other ecosystem services, such as navigation and transportation. In the context of river networks, different variants of dendritic connectivity are important to characterize the movements of different fish species and human populations. Our approaches are general and can be applied to optimizing for dendritic connectivity for a variety of multi-objective problems on tree-structured networks.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"COMPASS '18: Proceedings of the 1st ACM SIGCAS conference on computing and sustainable societies","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"COMPASS '18","conferenceDate":"June 20 - 22, 2018","conferenceLocation":"San Jose, CA","language":"English","publisher":"Association for Computing Machinery","doi":"10.1145/3209811.3209878","usgsCitation":"Shi, Q., Gomes-Selman, J.M., García-Villacorta, R., Sethi, S., Flecker, A.S., and Gomes, C.P., 2018, Efficiently optimizing for dendritic connectivity on tree-structured networks in a multi-objective framework, in COMPASS '18: Proceedings of the 1st ACM SIGCAS conference on computing and sustainable societies, San Jose, CA, June 20 - 22, 2018, 26, 8 p., https://doi.org/10.1145/3209811.3209878.","productDescription":"26, 8 p.","ipdsId":"IP-095997","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468636,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1145/3209811.3209878","text":"Publisher Index Page"},{"id":395381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2018-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Quinru","contributorId":274233,"corporation":false,"usgs":false,"family":"Shi","given":"Quinru","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":832825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomes-Selman, Jonathan M.","contributorId":269686,"corporation":false,"usgs":false,"family":"Gomes-Selman","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":833081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"García-Villacorta, Roosevelt","contributorId":269692,"corporation":false,"usgs":false,"family":"García-Villacorta","given":"Roosevelt","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":832827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flecker, Alexander S.","contributorId":269697,"corporation":false,"usgs":false,"family":"Flecker","given":"Alexander","email":"","middleInitial":"S.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":832828,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gomes, Carla P.","contributorId":269696,"corporation":false,"usgs":false,"family":"Gomes","given":"Carla","email":"","middleInitial":"P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":832829,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250182,"text":"70250182 - 2018 - Analysis of the impact of African dust storms on the presence of enteric viruses in the atmosphere in Tenerife, Spain","interactions":[],"lastModifiedDate":"2023-11-27T17:22:07.583724","indexId":"70250182","displayToPublicDate":"2018-06-20T11:13:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5576,"text":"Aerosol and Air Quality Research","onlineIssn":"2071-1409","printIssn":"1680-8584","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of the impact of African dust storms on the presence of enteric viruses in the atmosphere in Tenerife, Spain","docAbstract":"Airborne viruses and their relation to dust storms, as a possible route for dispersion, have not been widely investigated. There are, however, studies that have described the airborne dispersal of pathogenic viruses and their potential impact on public and agronomical health. Atmospheric samples were collected in an urban area of Tenerife during 2009, 2010, 2012 and 2013 and screened for the presence of enteric viruses using PCR and sequencing. The potential relationship of viral data with African dust storms and other climatic variables (viz., the seasonality, origin of the air mass and PM levels) was analyzed. Enteroviruses and Rotaviruses were detected in 15.4% (20/130) and 36.9% (48/130) of the samples, respectively. No significant statistical relationships were observed with African dust storms or the origin of the air masses, although higher percentages of positives were obtained for dust storm days. Enterovirus detection was significantly linked to warmer seasons, and PM2.5 levels showed an inverse correlation with a rotaviral presence. This is the first multi-year report to describe the presence of Enterovirus and Rotavirus genetic sequences in air samples collected in an outdoor urban environment. The data illustrates the need for source region sampling to determine links and the influence of the weather and climatic and regional wind patterns on long-range atmospheric dispersion of viruses in future research efforts.
","language":"English","publisher":"Taiwan Association for Aerosol Research","doi":"10.4209/aaqr.2017.11.0463","usgsCitation":"Gonzalez-Martin, C., Coronado-Alvarez, N., Teigell-Perez, N., Diaz-Solano, R., Exposito, F., Diaz, J., Griffin, D.W., and Valladares, B., 2018, Analysis of the impact of African dust storms on the presence of enteric viruses in the atmosphere in Tenerife, Spain: Aerosol and Air Quality Research, v. 18, no. 7, p. 1863-1873, https://doi.org/10.4209/aaqr.2017.11.0463.","productDescription":"11 p.","startPage":"1863","endPage":"1873","ipdsId":"IP-075080","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468637,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4209/aaqr.2017.11.0463","text":"Publisher Index Page"},{"id":422974,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","otherGeospatial":"Tenerife","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -16.361598997436374,\n 28.505491276599983\n ],\n [\n -16.361598997436374,\n 28.47367524103194\n ],\n [\n -16.307365298199585,\n 28.47367524103194\n ],\n [\n -16.307365298199585,\n 28.505491276599983\n ],\n [\n -16.361598997436374,\n 28.505491276599983\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gonzalez-Martin, Cristina","contributorId":331753,"corporation":false,"usgs":false,"family":"Gonzalez-Martin","given":"Cristina","affiliations":[{"id":79278,"text":"Instituto Universitario de Enfermedades Tropicales y Salud Publica de Canarias. Universidad de La Laguna. Avda. Astrofisico Francisco Sanchez, s/n, 38206, San Cristobal de La Laguna, Tenerife, Canary Islands, Spain.","active":true,"usgs":false}],"preferred":false,"id":888698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coronado-Alvarez, Nieves","contributorId":331754,"corporation":false,"usgs":false,"family":"Coronado-Alvarez","given":"Nieves","email":"","affiliations":[{"id":79278,"text":"Instituto Universitario de Enfermedades Tropicales y Salud Publica de Canarias. Universidad de La Laguna. Avda. Astrofisico Francisco Sanchez, s/n, 38206, San Cristobal de La Laguna, Tenerife, Canary Islands, Spain.","active":true,"usgs":false}],"preferred":false,"id":888699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teigell-Perez, Nuria","contributorId":331755,"corporation":false,"usgs":false,"family":"Teigell-Perez","given":"Nuria","affiliations":[{"id":79278,"text":"Instituto Universitario de Enfermedades Tropicales y Salud Publica de Canarias. Universidad de La Laguna. Avda. Astrofisico Francisco Sanchez, s/n, 38206, San Cristobal de La Laguna, Tenerife, Canary Islands, Spain.","active":true,"usgs":false}],"preferred":false,"id":888700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diaz-Solano, Raquel","contributorId":331756,"corporation":false,"usgs":false,"family":"Diaz-Solano","given":"Raquel","email":"","affiliations":[{"id":79278,"text":"Instituto Universitario de Enfermedades Tropicales y Salud Publica de Canarias. Universidad de La Laguna. Avda. Astrofisico Francisco Sanchez, s/n, 38206, San Cristobal de La Laguna, Tenerife, Canary Islands, Spain.","active":true,"usgs":false}],"preferred":false,"id":888701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Exposito, Francisco","contributorId":331757,"corporation":false,"usgs":false,"family":"Exposito","given":"Francisco","email":"","affiliations":[{"id":79279,"text":"Grupo de Observación de la Tierra y la Atmósfera (GOTA), Universidad de La Laguna, Tenerife, Spain","active":true,"usgs":false}],"preferred":false,"id":888702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diaz, Juan","contributorId":331758,"corporation":false,"usgs":false,"family":"Diaz","given":"Juan","email":"","affiliations":[{"id":79279,"text":"Grupo de Observación de la Tierra y la Atmósfera (GOTA), Universidad de La Laguna, Tenerife, Spain","active":true,"usgs":false}],"preferred":false,"id":888703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valladares, Basilio","contributorId":331759,"corporation":false,"usgs":false,"family":"Valladares","given":"Basilio","affiliations":[{"id":79278,"text":"Instituto Universitario de Enfermedades Tropicales y Salud Publica de Canarias. Universidad de La Laguna. Avda. Astrofisico Francisco Sanchez, s/n, 38206, San Cristobal de La Laguna, Tenerife, Canary Islands, Spain.","active":true,"usgs":false}],"preferred":false,"id":888705,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70201108,"text":"70201108 - 2018 - Age and performance at fledging are a cause and consequence of juvenile mortality between life stages","interactions":[],"lastModifiedDate":"2018-11-29T11:11:49","indexId":"70201108","displayToPublicDate":"2018-06-20T11:11:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Age and performance at fledging are a cause and consequence of juvenile mortality between life stages","docAbstract":"Should they stay or should they leave? The age at which young transition between life stages, such as living in a nest versus leaving it, differs among species and the reasons why are unclear. We show that offspring of songbird species that leave the nest at a younger age have less developed wings that cause poorer flight performance and greater mortality after fledging. Experimentally delayed fledging verified that older age and better developed wings provide benefits of reduced juvenile mortality. Young are differentially constrained in the age that they can stay in the nest and enjoy these fitness benefits because of differences among species in opposing predation costs while in the nest. This tension between mortality in versus outside of the nest influences offspring traits and performance and creates an unrecognized conflict between parents and offspring that determines the optimal age to fledge.
","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.aar1988","usgsCitation":"Martin, T.E., Tobalske, B., Riordan, M.M., Case, S.B., and Dial, K.P., 2018, Age and performance at fledging are a cause and consequence of juvenile mortality between life stages: Science Advances, v. 4, no. 6, p. 1-8, https://doi.org/10.1126/sciadv.aar1988.","productDescription":"eaar1988; 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-091044","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.aar1988","text":"Publisher Index Page"},{"id":359781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0108d6e4b0815414cc2e05","contributors":{"authors":[{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":752702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tobalske, Bret","contributorId":210903,"corporation":false,"usgs":false,"family":"Tobalske","given":"Bret","affiliations":[],"preferred":false,"id":752714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Riordan, Margaret M.","contributorId":198673,"corporation":false,"usgs":false,"family":"Riordan","given":"Margaret","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":752715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Case, Samuel B.","contributorId":210904,"corporation":false,"usgs":false,"family":"Case","given":"Samuel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":752716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dial, Kenneth P.","contributorId":210905,"corporation":false,"usgs":false,"family":"Dial","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":752717,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204943,"text":"70204943 - 2018 - Geologic and hydrologic concerns about pupfish divergence during the last glacial maximum","interactions":[],"lastModifiedDate":"2019-08-26T11:07:17","indexId":"70204943","displayToPublicDate":"2018-06-20T10:58:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Geologic and hydrologic concerns about pupfish divergence during the last glacial maximum","docAbstract":"Martin et al.'s [1] double-digest, restriction-site-associated DNA sequencing of Death Valley pupfish species (Cyprinodon) and new time-calibrated phylogenetic analysis provide estimated divergence ages for North American pupfish at two scales. On the larger temporal and spatial scale, Martin et al. conclude that the Death Valley pupfish shared common ancestry with: Cyprinodon albivelis Rio Yaqui, Mexico, which drains into the northern Gulf of California, at ca 10 kyr; C. veronicae and C. alvarezi from isolated springs in Nuevo León, Guzmán Basin, northeastern Mexico [2], at ca 17 kyr; and Atlantic coastal pupfish including those from the Yucatan Peninsula, Mexico, and the Bahamas (C. artifrons, C. maya and others) at ca 25 kyr. Martin et al. supported these genetic divergences and temporal estimates in their phylogenetic tree with these statements: ‘these ages are consistent with increased population mixing expected from the formation of large pluvial lakes throughout North America during the most recent glacial period 12–25 thousand years (kya).’ and it ‘is not apparent how low-lying desert populations could have remained isolated within large inland seas … ’ On the smaller scale, Martin et al. also conclude that introgression among pupfish species and subspecies of the 300 km-long Amargosa River of Death Valley occurred in the last 150 years.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2017.1648","usgsCitation":"Knott, J.R., Phillips, F., Reheis, M.C., Sada, D., Jayko, A.S., and Axen, G., 2018, Geologic and hydrologic concerns about pupfish divergence during the last glacial maximum: Proceedings of the Royal Society B: Biological Sciences, v. 285, no. 1881, 20171648, 3 p., https://doi.org/10.1098/rspb.2017.1648.","productDescription":"20171648, 3 p.","ipdsId":"IP-076573","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":468639,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2017.1648","text":"Publisher Index Page"},{"id":366910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"285","issue":"1881","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Knott, Jeffrey R.","contributorId":81408,"corporation":false,"usgs":true,"family":"Knott","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":769191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Fred","contributorId":218408,"corporation":false,"usgs":false,"family":"Phillips","given":"Fred","affiliations":[{"id":39841,"text":"New Mexico Institute of Mining & Technology","active":true,"usgs":false}],"preferred":false,"id":769192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reheis, Marith C. 0000-0002-8359-323X mreheis@usgs.gov","orcid":"https://orcid.org/0000-0002-8359-323X","contributorId":138571,"corporation":false,"usgs":true,"family":"Reheis","given":"Marith","email":"mreheis@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":769194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sada, Donald","contributorId":218409,"corporation":false,"usgs":false,"family":"Sada","given":"Donald","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":769193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jayko, Angela S. 0000-0002-7378-0330 ajayko@usgs.gov","orcid":"https://orcid.org/0000-0002-7378-0330","contributorId":2531,"corporation":false,"usgs":true,"family":"Jayko","given":"Angela","email":"ajayko@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":769190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Axen, Gary","contributorId":218410,"corporation":false,"usgs":false,"family":"Axen","given":"Gary","affiliations":[{"id":39841,"text":"New Mexico Institute of Mining & Technology","active":true,"usgs":false}],"preferred":false,"id":769195,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273282,"text":"70273282 - 2018 - Landscape composition mediates movement and habitat selection in bobcats (Lynx rufus): Implications for conservation planning","interactions":[],"lastModifiedDate":"2026-01-05T14:27:26.260682","indexId":"70273282","displayToPublicDate":"2018-06-20T09:34:51","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Landscape composition mediates movement and habitat selection in bobcats (Lynx rufus): Implications for conservation planning","title":"Landscape composition mediates movement and habitat selection in bobcats (Lynx rufus): Implications for conservation planning","docAbstract":"The analysis of individual movement choices can be used to better understand population-level resource selection and inform management.
We investigated movements and habitat selection of 13 bobcats in Vermont, USA, under the assumption individuals makes choices based upon their current location. Results were used to identify “movement-defined” corridors.
We used GPS-collars and GIS to estimate bobcat movement paths, and extracted statistics on land cover proportions, topography, fine-scale vegetation, roads, and streams within “used” and “available” space surrounding each movement path. Compositional analyses were used to determine habitat preferences with respect to landcover and topography; ratio tests were used to determine if used versus available ratios for vegetation, roads, and streams differed from 1. Results were used to create travel cost maps, a primary input for corridor analysis.
Forested and scrub-rock land cover were most preferred for movement, while developed land cover was least preferred. Preference depended on the composition of the “available” landscape: Bobcats moved > 3 times more quickly through forest and scrub-rock habitat when these habitats were surrounded by agriculture or development than when the available buffer was similarly composed. Overall, forest edge, wetland edge and higher stream densities were selected, while deep forest core and high road densities were not selected. Landscape-scale connectivity maps differed depending on whether habitat suitability, preference, or selection informed the travel cost map.
Both local and landscape scale land cover characteristics affect habitat preferences and travel speed of bobcats, which in turn can inform management and conservation activities.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-018-0654-8","usgsCitation":"Abouelezz, H.G., Donovan, T.M., Mickey, R.M., Murdoch, J.D., Freeman, M., and Royar, K., 2018, Landscape composition mediates movement and habitat selection in bobcats (Lynx rufus): Implications for conservation planning: Landscape Ecology, v. 33, p. 1301-1318, https://doi.org/10.1007/s10980-018-0654-8.","productDescription":"18 p.","startPage":"1301","endPage":"1318","ipdsId":"IP-023048","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498277,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-018-0654-8","text":"Publisher Index Page"},{"id":498208,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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M.","contributorId":364665,"corporation":false,"usgs":false,"family":"Mickey","given":"Ruth","middleInitial":"M.","affiliations":[],"preferred":false,"id":953020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murdoch, James D.","contributorId":364666,"corporation":false,"usgs":false,"family":"Murdoch","given":"James","middleInitial":"D.","affiliations":[],"preferred":false,"id":953021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Mark","contributorId":171650,"corporation":false,"usgs":false,"family":"Freeman","given":"Mark","email":"","affiliations":[],"preferred":false,"id":953022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Royar, Kimberly","contributorId":300053,"corporation":false,"usgs":false,"family":"Royar","given":"Kimberly","email":"","affiliations":[{"id":65007,"text":"Vermont Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":953023,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197818,"text":"70197818 - 2018 - A model ensemble for projecting multi‐decadal coastal cliff retreat during the 21st century","interactions":[],"lastModifiedDate":"2018-08-31T10:53:52","indexId":"70197818","displayToPublicDate":"2018-06-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"A model ensemble for projecting multi‐decadal coastal cliff retreat during the 21st century","docAbstract":"Sea cliff retreat rates are expected to accelerate with rising sea levels during the 21st century. Here we develop an approach for a multi‐model ensemble that efficiently projects time‐averaged sea cliff retreat over multi‐decadal time scales and large (>50 km) spatial scales. The ensemble consists of five simple 1‐D models adapted from the literature that relate sea cliff retreat to wave impacts, sea level rise (SLR), historical cliff behavior, and cross‐shore profile geometry. Ensemble predictions are based on Monte Carlo simulations of each individual model, which account for the uncertainty of model parameters. The consensus of the individual models also weights uncertainty, such that uncertainty is greater when predictions from different models do not agree. A calibrated, but unvalidated, ensemble was applied to the 475 km‐long coastline of Southern California (USA), with 4 SLR scenarios of 0.5, 0.93, 1.5, and 2 m by 2100. Results suggest that future retreat rates could increase relative to mean historical rates by more than two‐fold for the higher SLR scenarios, causing an average total land loss of 19 – 41 m by 2100. However, model uncertainty ranges from +/‐ 5 – 15 m, reflecting the inherent difficulties of projecting cliff retreat over multiple decades. To enhance ensemble performance, future work could include weighting each model by its skill in matching observations in different morphological settings
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017JF004401","usgsCitation":"Limber, P.W., Barnard, P., Vitousek, S., and Erikson, L.H., 2018, A model ensemble for projecting multi‐decadal coastal cliff retreat during the 21st century: Journal of Geophysical Research F: Earth Surface, v. 123, no. 7, p. 1566-1589, https://doi.org/10.1029/2017JF004401.","productDescription":"24 p.","startPage":"1566","endPage":"1589","ipdsId":"IP-088080","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jf004401","text":"Publisher Index Page"},{"id":355235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-20","publicationStatus":"PW","scienceBaseUri":"5b46e555e4b060350a15d0e7","contributors":{"authors":[{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":196794,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":738644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":738645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":738646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":738647,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197820,"text":"70197820 - 2018 - Avian keratin disorder of Alaska black-capped chickadees is associated with Poecivirus infection","interactions":[],"lastModifiedDate":"2018-06-20T19:33:20","indexId":"70197820","displayToPublicDate":"2018-06-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3697,"text":"Virology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Avian keratin disorder of Alaska black-capped chickadees is associated with Poecivirus infection","docAbstract":"Background
Avian keratin disorder (AKD) is an epizootic of debilitating beak deformities, first documented in black-capped chickadees (Poecile atricapillus) in Alaska during the late 1990s. Similar deformities have now been recorded in dozens of species of birds across multiple continents. Despite this, the etiology of AKD has remained elusive, making it difficult to assess the impacts of this disease on wild populations. We previously identified an association between infection with a novel picornavirus, Poecivirus, and AKD in a small cohort of black-capped chickadees.
Methods
To test if the association between Poecivirus and AKD holds in a larger study population, we used targeted PCR followed by Sanger sequencing to screen 124 symptomatic and asymptomatic black-capped chickadees for Poecivirus infection. We further compared the efficacy of multiple non-terminal field sampling methods (buccal swabs, cloacal swabs, fecal samples, and blood samples) for Poecivirus screening. Finally, we used both in situ hybridization and a strand-specific expression assay to localize Poecivirus to beak tissue of AKD-positive individuals and to determine if virus is actively replicating in beak tissue.
Results
Poecivirus was detected in 28/28 (100%) individuals with AKD, but only 9/96 (9.4%) asymptomatic individuals with apparently normal beaks (p < 0.0001). We found that cloacal swabs are the most sensitive of these sample types for detecting Poecivirus in birds with AKD, but that buccal swabs should be combined with cloacal swabs in evaluating the infection status of asymptomatic birds. Finally, we used both in situ hybridization and a strand-specific expression assay to localize Poecivirus to beak tissue of AKD-positive individuals and to provide evidence of active viral replication.
Conclusion
The data presented here show a strong, statistically significant relationship between Poecivirus infection and AKD, and provide evidence that Poecivirus is indeed an avian virus, infecting and actively replicating in beak tissue of AKD-affected BCCH. Taken together, these data corroborate and extend the evidence for a potential causal association between Poecivirus and AKD in the black-capped chickadee. Poecivirus continues to warrant further investigation as a candidate agent of AKD.
","language":"English","publisher":"BMC","doi":"10.1186/s12985-018-1008-5","usgsCitation":"Zylberberg, M., Van Hemert, C.R., Handel, C.M., and DeRisi, J.L., 2018, Avian keratin disorder of Alaska black-capped chickadees is associated with Poecivirus infection: Virology Journal, v. 15, Article 100; 9 p., https://doi.org/10.1186/s12985-018-1008-5.","productDescription":"Article 100; 9 p.","ipdsId":"IP-092906","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":460885,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12985-018-1008-5","text":"Publisher Index Page"},{"id":437850,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93OCR4L","text":"USGS data release","linkHelpText":"Genetic Data Associated with Avian Keratin Disorder and Poecivirus in Black-capped Chickadees, Alaska, 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Zealand","interactions":[],"lastModifiedDate":"2018-07-03T10:57:53","indexId":"70197799","displayToPublicDate":"2018-06-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Landslides triggered by the 14 November 2016 Mw 7.8 Kaikōura Earthquake, New Zealand","docAbstract":"The 14 November 2016
Northern Cardinal eggs from six neighborhoods near Washington DC were analyzed for organochlorine pesticides and PCBs. All compounds were detected more frequently and at higher concentrations in more heavily urbanized neighborhoods. DDT (mostly as p,pʹ-DDE) was detected in all neighborhoods. p,pʹ-DDT was typically 0.5‒16 ng/g (ww) in most suburban neighborhoods but was not detected (< 0.1 ng/g) in more rural areas; however, p,pʹ-DDT was 127‒1130 ng/g in eggs from two suburban Maryland nests and comprised 65.7% of total p,pʹ-DDT isomers in the most contaminated sample, indicating recent exposure to un-weathered DDT. Total chlordane (sum of 5 compounds) was 2‒70 ng/g; concentrations were greatest in older suburban neighborhoods. Total PCB (sum of detected congeners) was < 5‒21 ng/g. Congener patterns were similar in all neighborhoods and resembled those typical of weathered mixtures. Results indicate that wildlife remains exposed to low concentrations of legacy contaminants in suburban neighborhoods and that cardinal eggs can be used to monitor localized contamination.
","language":"English","publisher":"Springer","doi":"10.1007/s00128-018-2357-x","usgsCitation":"Schmitt, C.J., Echols, K.R., Peterman, P., Orazio, C., Grimm, C., Tan, S., Diggs, N.E., and Marra, P.P., 2018, Organochlorine chemical residues in Northern Cardinal (Cardinalis cardinalis) eggs from Greater Washington, DC USA: Bulletin of Environmental Contamination and Toxicology, v. 100, no. 6, p. 741-747, https://doi.org/10.1007/s00128-018-2357-x.","productDescription":"7 p.","startPage":"741","endPage":"747","ipdsId":"IP-093236","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":437851,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76W999M","text":"USGS data release","linkHelpText":"Organochlorine chemicals in northern cardinal eggs from suburban Washington, DC USA"},{"id":355226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"District of Columbia, Maryland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.0306396484375,\n 38.80118939192329\n ],\n [\n -76.94000244140625,\n 38.75408327579141\n ],\n [\n -76.80130004882812,\n 38.82045110711473\n ],\n [\n -76.75048828125,\n 38.94552525820741\n ],\n [\n -76.88919067382812,\n 39.122602866278996\n ],\n [\n -77.04574584960938,\n 39.16094667321639\n ],\n [\n -77.19406127929688,\n 39.02238449226849\n ],\n [\n -77.22015380859375,\n 38.9807627650163\n ],\n [\n -77.13638305664062,\n 38.96368010198575\n ],\n [\n -77.07321166992188,\n 38.90172091499795\n ],\n [\n -77.03201293945312,\n 38.87179021382536\n ],\n [\n -77.0306396484375,\n 38.80118939192329\n ]\n ]\n ]\n }\n 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framework and management tool","title":"Regeneration of Salicaceae riparian forests in the Northern Hemisphere: A new framework and management tool","docAbstract":"Human activities on floodplains have severely disrupted the regeneration of foundation riparian shrub and tree species of the Salicaceae family (Populus and Salix spp.) throughout the Northern Hemisphere. Restoration ecologists initially tackled this problem from a terrestrial perspective that emphasized planting. More recently, floodplain restoration activities have embraced an aquatic perspective, inspired by the expanding practice of managing river flows to improve river health (environmental flows). However, riparian Salicaceae species occupy floodplain and riparian areas, which lie at the interface of both terrestrial and aquatic ecosystems along watercourses. Thus, their regeneration depends on a complex interaction of hydrologic and geomorphic processes that have shaped key life-cycle requirements for seedling establishment. Ultimately, restoration needs to integrate these concepts to succeed. However, while regeneration of Salicaceae is now reasonably well-understood, the literature reporting restoration actions on Salicaceae regeneration is sparse, and a specific theoretical framework is still missing. Here, we have reviewed 105 peer-reviewed published experiences in restoration of Salicaceae forests, including 91 projects in 10 world regions, to construct a decision tree to inform restoration planning through explicit links between the well-studied biophysical requirements of Salicaceaeregeneration and 17 specific restoration actions, the most popular being planting (in 55% of the projects), land contouring (30%), removal of competing vegetation (30%), site selection (26%), and irrigation (24%). We also identified research gaps related to Salicaceae forest restoration and discuss alternative, innovative and feasible approaches that incorporate the human component.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2018.04.069","usgsCitation":"Gonzalez, E., Martinez-Fernandez, V., Shafroth, P.B., Sher, A.A., Henry, A.L., Garofano-Gomez, V., and Corenblit, D., 2018, Regeneration of Salicaceae riparian forests in the Northern Hemisphere: A new framework and management tool: Journal of Environmental Management, v. 218, p. 374-387, https://doi.org/10.1016/j.jenvman.2018.04.069.","productDescription":"14 p.","startPage":"374","endPage":"387","ipdsId":"IP-096679","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468642,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10251/189075","text":"External Repository"},{"id":355211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"218","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e555e4b060350a15d0ef","contributors":{"authors":[{"text":"Gonzalez, Eduardo","contributorId":205798,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Eduardo","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":738525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martinez-Fernandez, Vanesa","contributorId":205799,"corporation":false,"usgs":false,"family":"Martinez-Fernandez","given":"Vanesa","email":"","affiliations":[{"id":37168,"text":"Universidad Politecnica de Madrid","active":true,"usgs":false}],"preferred":false,"id":738526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":738524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sher, Anna A.","contributorId":196506,"corporation":false,"usgs":false,"family":"Sher","given":"Anna","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":738527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henry, Annie L.","contributorId":196513,"corporation":false,"usgs":false,"family":"Henry","given":"Annie","email":"","middleInitial":"L.","affiliations":[{"id":12651,"text":"University of Denver","active":true,"usgs":false}],"preferred":false,"id":738528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garofano-Gomez, Virginia","contributorId":205800,"corporation":false,"usgs":false,"family":"Garofano-Gomez","given":"Virginia","email":"","affiliations":[{"id":37169,"text":"Universitat Politecnica de Valencia","active":true,"usgs":false}],"preferred":false,"id":738529,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Corenblit, Dov","contributorId":205801,"corporation":false,"usgs":false,"family":"Corenblit","given":"Dov","email":"","affiliations":[{"id":37170,"text":"Universite Clermont Auvergne","active":true,"usgs":false}],"preferred":false,"id":738530,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197806,"text":"70197806 - 2018 - Origin of methane and sources of high concentrations in Los Angeles groundwater","interactions":[],"lastModifiedDate":"2018-06-20T16:24:11","indexId":"70197806","displayToPublicDate":"2018-06-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Origin of methane and sources of high concentrations in Los Angeles groundwater","docAbstract":"In 2014, samples from 37 monitoring wells at 17 locations, within or near oil fields, and one site >5 km from oil fields, in the Los Angeles Basin, California, were analyzed for dissolved hydrocarbon gas isotopes and abundances. The wells sample a variety of depths of an aquifer system composed of unconsolidated and semiconsolidated sediments under various conditions of confinement. Concentrations of methane in groundwater samples ranged from 0.002 to 150 mg/L—some of the highest concentrations reported in a densely populated urban area. The δ13C and δ2H of the methane ranged from −80.8 to −45.5 per mil (‰) and −249.8 to −134.9‰, respectively, and, along with oxidation‐reduction processes, helped to identify the origin of methane as microbial methanogenesis and CO2 reduction as its main formation pathway. The distribution of methane concentrations and isotopes is consistent with the high concentrations of methane in Los Angeles Basin groundwater originating from relatively shallow microbial production in anoxic or suboxic conditions. Source of the methane is the aquifer sediments rather than the upward migration or leakage of thermogenic methane associated with oil fields in the basin.","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JG004026","usgsCitation":"Kulongoski, J.T., McMahon, P.B., Land, M., Wright, M., Johnson, T., and Landon, M.K., 2018, Origin of methane and sources of high concentrations in Los Angeles groundwater: Journal of Geophysical Research: Biogeosciences, v. 123, no. 3, p. 818-831, https://doi.org/10.1002/2017JG004026.","productDescription":"14 p.","startPage":"818","endPage":"831","ipdsId":"IP-078703","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":355227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","otherGeospatial":"Los Angeles Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.46533203125,\n 33.458942753687644\n ],\n [\n -117.630615234375,\n 33.458942753687644\n ],\n [\n -117.630615234375,\n 34.97600151317588\n ],\n [\n -119.46533203125,\n 34.97600151317588\n ],\n [\n -119.46533203125,\n 33.458942753687644\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-11","publicationStatus":"PW","scienceBaseUri":"5b46e555e4b060350a15d0eb","contributors":{"authors":[{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Land, Michael 0000-0001-5141-0307 mtland@usgs.gov","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":171938,"corporation":false,"usgs":true,"family":"Land","given":"Michael","email":"mtland@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Michael 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":151031,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738598,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Theodore","contributorId":205833,"corporation":false,"usgs":false,"family":"Johnson","given":"Theodore","affiliations":[{"id":37173,"text":"Water Replenishment District of Southern California","active":true,"usgs":false}],"preferred":false,"id":738600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738601,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70197796,"text":"70197796 - 2018 - Lateral and vertical distribution of downstream migrating juvenile sea lamprey","interactions":[],"lastModifiedDate":"2018-06-20T12:29:25","indexId":"70197796","displayToPublicDate":"2018-06-20T00:00:00","publicationYear":"2018","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":"Lateral and vertical distribution of downstream migrating juvenile sea lamprey","docAbstract":"Sea lamprey is considered an invasive and nuisance species in the Laurentian Great Lakes, Lake Champlain, and the Finger Lakes of New York and is a major focus of control efforts. Currently, management practices focus on limiting the area of infestation using barriers to block migratory adults, and lampricides to kill ammocoetes in infested tributaries. No control efforts currently target the downstream-migrating post-metamorphic life stage which could provide another management opportunity. In order to apply control methods to this life stage, a better understanding of their downstream movement patterns is needed. To quantify spatial distribution of downstream migrants, we deployed fyke and drift nets laterally and vertically across the stream channel in two tributaries of Lake Champlain. Sea lamprey was not randomly distributed across the stream width and lateral distribution showed a significant association with discharge. Results indicated that juvenile sea lamprey is most likely to be present in the thalweg and at midwater depths of the stream channel. Further, a majority of the catch occurred during high flow events, suggesting an increase in downstream movement activity when water levels are higher than base flow. Discharge and flow are strong predictors of the distribution of out-migrating sea lamprey, thus managers will need to either target capture efforts in high discharge areas of streams or develop means to guide sea lamprey away from these areas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2018.03.004","usgsCitation":"Sotola, V.A., Miehls, S.M., Simard, L.G., and Marsden, J., 2018, Lateral and vertical distribution of downstream migrating juvenile sea lamprey: Journal of Great Lakes Research, v. 44, no. 3, p. 491-496, https://doi.org/10.1016/j.jglr.2018.03.004.","productDescription":"6 p.","startPage":"491","endPage":"496","ipdsId":"IP-094745","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":355210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e556e4b060350a15d0f1","contributors":{"authors":[{"text":"Sotola, V. Alex","contributorId":194906,"corporation":false,"usgs":false,"family":"Sotola","given":"V.","email":"","middleInitial":"Alex","affiliations":[],"preferred":false,"id":738521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":738520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simard, Lee G.","contributorId":194905,"corporation":false,"usgs":false,"family":"Simard","given":"Lee","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":738522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marsden, J. Ellen","contributorId":194907,"corporation":false,"usgs":false,"family":"Marsden","given":"J. Ellen","affiliations":[],"preferred":false,"id":738523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197782,"text":"70197782 - 2018 - A simple, cost-effective emitter for controlled release of fish pheromones: development, testing, and application to management of the invasive sea lamprey","interactions":[],"lastModifiedDate":"2018-06-21T09:55:11","indexId":"70197782","displayToPublicDate":"2018-06-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A simple, cost-effective emitter for controlled release of fish pheromones: development, testing, and application to management of the invasive sea lamprey","docAbstract":"Semiochemicals that elicit species-specific attraction or repulsion have proven useful in the management of terrestrial pests and hold considerable promise for control of nuisance aquatic species, particularly invasive fishes. Because aquatic ecosystems are typically large and open, use of a semiochemical to control a spatially dispersed invader will require the development of a cost-effective emitter that is easy to produce, environmentally benign, inexpensive, and controls the release of the semiochemical without altering its structure. We examined the release properties of five polymers, and chose polyethylene glycol (PEG) as the best alternative. In a series of laboratory and field experiments, we examined the response of the invasive sea lamprey to PEG, and to a partial sex pheromone emitted from PEG that has proven effective as a trap bait to capture migrating sea lamprey prior to spawning. Our findings confirm that the sea lamprey does not behaviorally respond to PEG, and that the attractant response to the pheromone component was conserved when emitted from PEG. Further, we deployed the pheromone-PEG emitters as trap bait during typical control operations in three Great Lakes tributaries, observing similar improvements in trap performance when compared to a previous study using mechanically pumped liquid pheromone. Finally, the polymer emitters tended to dissolve unevenly in high flow conditions. We demonstrate that housing the emitter stabilizes the dissolution rate at high water velocity. We conclude the performance characteristics of PEG emitters to achieve controlled-release of a semiochemical are sufficient to recommend its use in conservation and management activities related to native and invasive aquatic organisms.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0197569","usgsCitation":"Wagner, C., Hanson, J.E., Meckley, T.D., Johnson, N., and Bals, J.D., 2018, A simple, cost-effective emitter for controlled release of fish pheromones: development, testing, and application to management of the invasive sea lamprey: PLoS ONE, v. 13, no. 6, p. 1-17, https://doi.org/10.1371/journal.pone.0197569.","productDescription":"e0197569; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-096735","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":468641,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0197569","text":"Publisher Index Page"},{"id":355197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"6","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-13","publicationStatus":"PW","scienceBaseUri":"5b46e556e4b060350a15d0f3","contributors":{"authors":[{"text":"Wagner, C. Michael","contributorId":173006,"corporation":false,"usgs":false,"family":"Wagner","given":"C. Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":738478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, James E.","contributorId":198866,"corporation":false,"usgs":false,"family":"Hanson","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":738479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meckley, Trevor D.","contributorId":205787,"corporation":false,"usgs":false,"family":"Meckley","given":"Trevor","email":"","middleInitial":"D.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":738480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":738477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bals, Jason D.","contributorId":205788,"corporation":false,"usgs":false,"family":"Bals","given":"Jason","email":"","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":738481,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197761,"text":"70197761 - 2018 - Isotope niche dimension and trophic overlap between bigheaded carps and native filter-feeding fish in the lower Missouri River, USA","interactions":[],"lastModifiedDate":"2018-06-20T10:10:34","indexId":"70197761","displayToPublicDate":"2018-06-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Isotope niche dimension and trophic overlap between bigheaded carps and native filter-feeding fish in the lower Missouri River, USA","docAbstract":"Stable carbon and nitrogen isotope values (δ13C and δ15N) were used to evaluate trophic niche overlap between two filter-feeding fishes (known together as bigheaded carp) native to China, silver carp (Hypophthalmichthys molitrix) and bighead carp (Hypophthalmichthys nobilis), and three native filter-feeding fish including bigmouth buffalo (Ictiobus cyprinellus), gizzard shad (Dorosoma cepedianum) and paddlefish (Polyodon spathula) in the lower Missouri River, USA, using the Bayesian Stable Isotope in R statistics. Results indicate that except for bigmouth buffalo, all species displayed similar trophic niche size and trophic diversity. Bigmouth buffalo occupied a small trophic niche and had the greatest trophic overlap with silver carp (93.6%) and bighead carp (94.1%) followed by gizzard shad (91.0%). Paddlefish had a trophic niche which relied on some resources different from those used by other species, and therefore had the lowest trophic overlap with bigheaded carp and other two native fish. The trophic overlap by bigheaded carp onto native fish was typically stronger than the reverse effects from native fish. Average niche overlap between silver carp and native species was as high as 71%, greater than niche overlap between bighead carp and native fish (64%). Our findings indicate that bigheaded carps are a potential threat to a diverse and stable native fish community.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0197584","usgsCitation":"Wang, J., Chapman, D., Xu, J., Wang, Y., and Gu, B., 2018, Isotope niche dimension and trophic overlap between bigheaded carps and native filter-feeding fish in the lower Missouri River, USA: PLoS ONE, v. 13, no. 5, e0197584; 13 p., https://doi.org/10.1371/journal.pone.0197584.","productDescription":"e0197584; 13 p.","ipdsId":"IP-079345","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468643,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0197584","text":"Publisher Index Page"},{"id":355191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lower Missouri River","volume":"13","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-21","publicationStatus":"PW","scienceBaseUri":"5b46e556e4b060350a15d0f7","contributors":{"authors":[{"text":"Wang, Jianzhu","contributorId":205770,"corporation":false,"usgs":false,"family":"Wang","given":"Jianzhu","email":"","affiliations":[{"id":37129,"text":"Engineering Research Center of Eco-environment in Three Gorges Reservoir Region, Ministry of Education, China Three Gorges University, Yichang 443002, China","active":true,"usgs":false}],"preferred":false,"id":738420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":738419,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Jun","contributorId":205771,"corporation":false,"usgs":false,"family":"Xu","given":"Jun","email":"","affiliations":[{"id":37165,"text":"Institute of Hydrobiology, the Chinese Academy of Sciences, Wuhan 430072, China","active":true,"usgs":false}],"preferred":false,"id":738421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Yang","contributorId":173071,"corporation":false,"usgs":false,"family":"Wang","given":"Yang","email":"","affiliations":[],"preferred":false,"id":738422,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gu, Binhe","contributorId":205772,"corporation":false,"usgs":false,"family":"Gu","given":"Binhe","email":"","affiliations":[{"id":37166,"text":"5Soil and Water Science Department, University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":738423,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197767,"text":"70197767 - 2018 - Analysis of mean seismic ground motion and its uncertainty based on the UCERF3 geologic slip rate model with uncertainty for California","interactions":[],"lastModifiedDate":"2018-07-03T10:58:42","indexId":"70197767","displayToPublicDate":"2018-06-20T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of mean seismic ground motion and its uncertainty based on the UCERF3 geologic slip rate model with uncertainty for California","docAbstract":"The Uniform California Earthquake Rupture Forecast v.3 (UCERF3) model (Field et al., 2014) considers epistemic uncertainty in fault‐slip rate via the inclusion of multiple rate models based on geologic and/or geodetic data. However, these slip rates are commonly clustered about their mean value and do not reflect the broader distribution of possible rates and associated probabilities. Here, we consider both a double‐truncated 2σ Gaussian and a boxcar distribution of slip rates and use a Monte Carlo simulation to sample the entire range of the distribution for California fault‐slip rates. We compute the seismic hazard following the methodology and logic‐tree branch weights applied to the 2014 national seismic hazard model (NSHM) for the western U.S. region (Petersen et al., 2014, 2015). By applying a new approach developed in this study to the probabilistic seismic hazard analysis (PSHA) using precomputed rates of exceedance from each fault as a Green’s function, we reduce the computer time by about 10^5‐fold and apply it to the mean PSHA estimates with 1000 Monte Carlo samples of fault‐slip rates to compare with results calculated using only the mean or preferred slip rates. The difference in the mean probabilistic peak ground motion corresponding to a 2% in 50‐yr probability of exceedance is less than 1% on average over all of California for both the Gaussian and boxcar probability distributions for slip‐rate uncertainty but reaches about 18% in areas near faults compared with that calculated using the mean or preferred slip rates. The average uncertainties in 1σ peak ground‐motion level are 5.5% and 7.3% of the mean with the relative maximum uncertainties of 53% and 63% for the Gaussian and boxcar probability density function (PDF), respectively.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170114","usgsCitation":"Zeng, Y., 2018, Analysis of mean seismic ground motion and its uncertainty based on the UCERF3 geologic slip rate model with uncertainty for California: Seismological Research Letters, v. 89, no. 4, p. 1410-1419, https://doi.org/10.1785/0220170114.","productDescription":"10 p.","startPage":"1410","endPage":"1419","ipdsId":"IP-094845","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":355189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-25","publicationStatus":"PW","scienceBaseUri":"5b46e556e4b060350a15d0f5","contributors":{"authors":[{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":738438,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70199152,"text":"70199152 - 2018 - Energetic costs of locomotion in bears: is plantigrade locomotion energetically economical?","interactions":[],"lastModifiedDate":"2018-09-07T16:01:21","indexId":"70199152","displayToPublicDate":"2018-06-19T16:01:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Energetic costs of locomotion in bears: is plantigrade locomotion energetically economical?","docAbstract":"Ursids are the largest mammals to retain a plantigrade posture. This primitive posture has been proposed to result in reduced locomotor speed and economy relative to digitigrade and unguligrade species, particularly at high speeds. Previous energetics research on polar bears (Ursus maritimus) found locomotor costs were more than double predictions for similarly sized quadrupedal mammals, which could be a result of their plantigrade posture or due to adaptations to their Arctic marine existence. To evaluate whether polar bears are representative of terrestrial ursids or distinctly uneconomical walkers, this study measured the mass-specific metabolism, overall dynamic body acceleration, and gait kinematics of polar bears and grizzly bears (Ursus arctos) trained to rest and walk on a treadmill. At routine walking speeds, we found polar bears and grizzly bears exhibited similar costs of locomotion and gait kinematics, but differing measures of overall dynamic body acceleration. Minimum cost of transport while walking in the two species (2.21 J kg−1 m−1) was comparable to predictions for similarly sized quadrupedal mammals, but these costs doubled (4.42 J kg−1 m−1) at speeds ≥5.4 km h−1. Similar to humans, another large plantigrade mammal, bears appear to exhibit a greater economy while moving at slow speeds.
","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.175372","usgsCitation":"Pagano, A.M., Carnahan, A.M., Robbins, C.T., Owen, M.A., Batson, T., Wagner, N., Cutting, A., Nicassio-Hiskey, N., Hash, A., and Williams, T.M., 2018, Energetic costs of locomotion in bears: is plantigrade locomotion energetically economical?: Journal of Experimental Biology, v. 221, no. 12, p. 1-9, https://doi.org/10.1242/jeb.175372.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-092794","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":468645,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.175372","text":"Publisher Index Page"},{"id":437852,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QR4W91","text":"USGS data release","linkHelpText":"Energetic Costs of Locomotion in Bears"},{"id":357132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"221","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-19","publicationStatus":"PW","scienceBaseUri":"5b98a2aee4b0702d0e842faf","contributors":{"authors":[{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":744377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carnahan, Anthony M.","contributorId":207641,"corporation":false,"usgs":false,"family":"Carnahan","given":"Anthony","email":"","middleInitial":"M.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":744378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Charles T.","contributorId":124585,"corporation":false,"usgs":false,"family":"Robbins","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5127,"text":"Washington State University, P.O. Box 644236, Pullman, WA 99164","active":true,"usgs":false}],"preferred":false,"id":744379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Owen, Megan A.","contributorId":138918,"corporation":false,"usgs":false,"family":"Owen","given":"Megan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":744380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batson, Tammy","contributorId":207642,"corporation":false,"usgs":false,"family":"Batson","given":"Tammy","email":"","affiliations":[{"id":37593,"text":"San Diego Zoo","active":true,"usgs":false}],"preferred":false,"id":744381,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Nate","contributorId":207643,"corporation":false,"usgs":false,"family":"Wagner","given":"Nate","email":"","affiliations":[{"id":37593,"text":"San Diego Zoo","active":true,"usgs":false}],"preferred":false,"id":744382,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cutting, Amy","contributorId":200751,"corporation":false,"usgs":false,"family":"Cutting","given":"Amy","email":"","affiliations":[],"preferred":false,"id":744383,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nicassio-Hiskey, Nicole","contributorId":150616,"corporation":false,"usgs":false,"family":"Nicassio-Hiskey","given":"Nicole","email":"","affiliations":[{"id":18050,"text":"Oregon Zoo","active":true,"usgs":false}],"preferred":false,"id":744384,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hash, Amy","contributorId":200755,"corporation":false,"usgs":false,"family":"Hash","given":"Amy","email":"","affiliations":[],"preferred":false,"id":744385,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Williams, Terrie M.","contributorId":191735,"corporation":false,"usgs":false,"family":"Williams","given":"Terrie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":744386,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70197592,"text":"fs20183035 - 2018 - Summary of estimated water use in the United States in 2015","interactions":[],"lastModifiedDate":"2018-06-19T11:42:38","indexId":"fs20183035","displayToPublicDate":"2018-06-19T10:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3035","title":"Summary of estimated water use in the United States in 2015","docAbstract":"A total of 322 Bgal/d of water withdrawals was reported for eight categories of use in the United States in 2015, which was 9 percent less than in 2010 (354 Bgal/d), and continued a declining trend since 2005. The decline in total withdrawals in 2015 primarily was caused by significant decreases (28.8 Bgal/d) in thermoelectric power, which accounted for 89 percent of the decrease in total withdrawals. Between 2010 and 2015, withdrawals decreased in all categories except irrigation (2 percent increase), mining (1 percent increase), and livestock (no change). Fresh surface-water withdrawals (198 Bgal/d) were 14 percent less than in 2010, and fresh groundwater withdrawals (82.3 Bgal/d) were about 8 percent more than in 2010. Saline surface-water withdrawals (38.6 Bgal/d) were 14 percent less than in 2010, and saline groundwater withdrawals (2.34 Bgal/d) were 5 percent more than in 2010. Total population in the United States in 2015 (325 million) increased by 4 percent (12.4 million) from 2010, which was similar to the increase between 2005 and 2010. For the first time since 1995, consumptive use for irrigation and thermoelectric power were reported. Consumptive use accounted for 62 percent (73.2 Bgal/d) of water used for irrigation, and 3 percent (4.31 Bgal/d) of water used for thermoelectric power in 2015.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183035","usgsCitation":"Maupin, M.A., 2018, Summary of estimated water use in the United States in 2015: U.S. Geological Survey Fact Sheet 2018-3035, 2 p., https://doi.org/10.3133/fs20183035.","productDescription":"2 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-096639","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":355065,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3035/coverthb.jpg"},{"id":355066,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3035/fs20183035.pdf","text":"Report","size":"117 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3035"},{"id":355067,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TB15V5","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Estimated use of water in the United States county-level data for 2015"},{"id":355068,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/cir1441","text":"Circular 1441","description":"Circular 1441"}],"country":"United States","contact":"USGS National Water-Use Science Project Team
Or USGS Water-Use Web site
Water use in the United States in 2015 was estimated to be about 322 billion gallons per day (Bgal/d), which was 9 percent less than in 2010. The 2015 estimates put total withdrawals at the lowest level since before 1970, following the same overall trend of decreasing total withdrawals observed from 2005 to 2010. Freshwater withdrawals were 281 Bgal/d, or 87 percent of total withdrawals, and saline-water withdrawals were 41.0 Bgal/d, or 13 percent of total withdrawals. Fresh surface-water withdrawals (198 Bgal/d) were 14 percent less than in 2010, and fresh groundwater withdrawals (82.3 Bgal/day) were about 8 percent greater than in 2010. Saline surface-water withdrawals were 38.6 Bgal/d, or 14 percent less than in 2010. Total saline groundwater withdrawals in 2015 were 2.34 Bgal/d, mostly for mining use.
Thermoelectric power and irrigation remained the two largest uses of water in 2015, and total withdrawals decreased for thermoelectric power but increased for irrigation. Withdrawals in 2015 for thermoelectric power were 18 percent less and withdrawals for irrigation were 2 percent greater than in 2010. Similarly, other uses showed reductions compared to 2010, specifically public supply (–7 percent), self-supplied domestic (–8 percent), self-supplied industrial (–9 percent), and aquaculture (–16 percent). In addition to irrigation (2 percent), mining (1 percent) reported larger withdrawals in 2015 than in 2010. Livestock withdrawals remained essentially the same in 2015 compared to 2010 (0 percent change). Thermoelectric power, irrigation, and public-supply withdrawals accounted for 90 percent of total withdrawals in 2015.
Withdrawals for thermoelectric power were 133 Bgal/d in 2015 and represented the lowest levels since before 1970. Surface-water withdrawals accounted for more than 99 percent of total thermoelectric-power withdrawals, and 72 percent of those surface-water withdrawals were from freshwater sources. Saline surface-water withdrawals for thermoelectric power accounted for 97 percent of total saline surface-water withdrawals for all uses. Thermoelectric-power withdrawals accounted for 41 percent of total withdrawals for all uses, and freshwater withdrawals for thermoelectric power accounted for 34 percent of the total freshwater withdrawals for all uses. Total consumptive use for thermoelectric power was 4.31 Bgal/d in 2015 or 3 percent of the total thermoelectric-power withdrawals.
Irrigation withdrawals were 118 Bgal/d in 2015, an increase of 2 percent from 2010 (116 Bgal/d), but were approximately equal to withdrawals estimated in the 1960s. Irrigation withdrawals, all freshwater, accounted for 42 percent of total freshwater withdrawals for all uses and 64 percent of total freshwater withdrawals for all uses excluding thermoelectric power. Surface-water withdrawals (60.9 Bgal/d) accounted for 52 percent of the total irrigation withdrawals, or about 8 percent less than in 2010. Groundwater withdrawals for irrigation were 57.2 Bgal/d in 2015, about 16 percent more than in 2010. About 63,500 thousand acres (or 63.5 million acres) were irrigated in 2015, an increase from 2010 of about 1,130 thousand acres (2 percent). The number of acres irrigated using sprinkler and microirrigation systems accounted for 63 percent of the total irrigated lands in 2015. Total consumptive use for irrigation was 73.2 Bgal/d in 2015 or 62 percent of the total use (withdrawals and reclaimed wastewater).
Public-supply withdrawals in 2015 were 39.0 Bgal/d, or 7 percent less than in 2010, continuing the declines observed from 2005 to 2010. Total population in the United States increased from 312.6 million people in 2010 to 325.0 million people in 2015, an increase of 4 percent. Public-supply withdrawals accounted for 14 percent of the total freshwater withdrawals for all uses and 21 percent of freshwater withdrawals for all uses, excluding thermoelectric power. The number of people that received potable water from public-supply facilities in 2015 was 283 million, or about 87 percent of the total United States population. This percentage is 1 percent greater than in 2010. Self-supplied domestic withdrawals were 3.26 Bgal/d, or 8 percent less than in 2010. More than 98 percent of the self-supplied domestic withdrawals were from groundwater sources.
Self-supplied industrial withdrawals were 14.8 Bgal/d in 2015, a 9 percent decline from 2010, continuing the downward trend since the peak of 47 Bgal/d in 1970. Total self-supplied industrial withdrawals were 5 percent of total withdrawals for all uses and 8 percent of total withdrawals for all uses, excluding thermoelectric power. Most of the total self-supplied industrial withdrawals were from surface-water sources (82 percent), and nearly all (94 percent) of those surface-water withdrawals were from freshwater sources. Nearly all of the groundwater withdrawals for self-supplied industrial use (98 percent) were from freshwater sources.
Total aquaculture withdrawals were 7.55 Bgal/d in 2015, or 16 percent less than in 2010, and surface water was the primary source (79 percent). Most of the surface-water withdrawals occurred at facilities that operated flow-through raceways, which returned the water to the source directly after use. Aquaculture withdrawals accounted for 2 percent of the total withdrawals for all uses and 4 percent of the total withdrawals for all uses, excluding thermoelectric.
Total mining withdrawals in 2015 were 4.00 Bgal/d, or about 1 percent of total withdrawals from all uses and 2 percent of total withdrawals from all uses, excluding thermoelectric. Mining withdrawals increased 1 percent from 2010 to 2015. Groundwater withdrawals accounted for 72 percent of the total mining withdrawals, and most of the groundwater was saline (65 percent). Most (77 percent) of the surface-water withdrawals for mining was freshwater.
Livestock withdrawals in 2015 were 2.00 Bgal/d, the same as in 2010. All livestock withdrawals were from freshwater sources, mostly from groundwater (62 percent). Livestock withdrawals accounted for about 1 percent of total freshwater withdrawals for all uses, excluding thermoelectric power.
In 2015, more than 50 percent of the total withdrawals in the United States were accounted for by 12 States (California, Texas, Idaho, Florida, Arkansas, New York, Illinois, Colorado, North Carolina, Michigan, Montana, and Nebraska). California accounted for almost 9 percent of the total withdrawals and 9 percent of freshwater withdrawals in the United States, predominantly for irrigation. Texas accounted for almost 7 percent of total withdrawals, predominantly for thermoelectric power, irrigation, and public supply. Florida accounted for 23 percent of the total saline-water withdrawals in the United States, mostly from surface-water sources for thermoelectric power. Texas and California accounted for 59 percent of the total saline groundwater withdrawals in the United States, mostly for mining.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1441","isbn":"978-1-4113-4233-0","collaboration":"Water Availability and Use Science Program","usgsCitation":"Dieter, C.A., Maupin, M.A., Caldwell, R.R., Harris, M.A., Ivahnenko, T.I., Lovelace, J.K., Barber, N.L., and Linsey, K.S., 2018, Estimated use of water in the United States in 2015: U.S. Geological Survey Circular 1441, 65 p., https://doi.org/10.3133/cir1441. [Supersedes USGS Open-File Report 2017–1131.]","productDescription":"v, 65 p.","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-090439","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":355031,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20183035","text":"Fact Sheet 2018–3035","linkHelpText":"- Summary of Estimated Water Use in the United States in 2015"},{"id":355029,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1441/circ1441.pdf","text":"Report","size":"42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIRC 1441"},{"id":355030,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TB15V5","text":"USGS data release","description":"USGS data release","linkHelpText":"Estimated Use of Water in the United States County-Level Data for 2015"},{"id":355028,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1441/coverthb.jpg"}],"contact":"National Water Use Science Project Team
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
https:water.usgs.gov/watuse/
Freshwater mussels (order Unionoida) are one of the most imperiled groups of animals in the world. However, many ambient water quality criteria and other environmental guideline values do not include data for freshwater mussels, in part because mussel toxicity test methods are comparatively new and data may not have been available when criteria and guidelines were derived. The objectives of the present study were to evaluate the acute toxicity of sodium chloride (NaCl) and potassium chloride (KCl) to larvae (glochidia) and/or juveniles of a unionid mussel (fatmucket, Lampsilis siliquoidea) and to determine the potential influences of water hardness (50, 100, 200, and 300 mg/L as CaCO3) and other major ions (Ca, K, SO4, or HCO3) on the acute toxicity of NaCl to the mussels. From the KCl test, the 50% effect concentration (EC50) for fatmucket glochidia was 30 mg K/L, similar to or slightly lower than the EC50s for juvenile fatmucket (37–46 mg K/L) tested previously in our laboratory. From the NaCl tests, the EC50s for glochidia increased from 441 to 1597 mg Cl/L and the EC50s for juvenile mussels increased from 911 to 3092 mg Cl/L with increasing water hardness from 50 to 300 mg/L. Increasing K from 0.4 to 1.9 mg/L, SO4 from 13 to 40 mg/L, or HCO3 from 44 to 200 mg/L in the 50 mg/L hardness water did not substantially change the NaCl EC50s for juvenile mussels, whereas increasing Ca from 9.9 to 42 mg/L increased the EC50s by a factor of 2. The overall results indicate that glochidia were equally or more sensitive to NaCl and KCl compared with juvenile mussels and that the increased water hardness ameliorated the acute toxicity of NaCl to glochidia and juveniles. These responses rank fatmucket among the most acutely sensitive freshwater organisms to NaCl and KCl.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.4206","usgsCitation":"Wang, N., Ivey, C.D., Dorman, R.A., Ingersoll, C.G., Steevens, J.A., Hammer, E.J., Bauer, C.R., and Mount, D.R., 2018, Acute toxicity of sodium chloride and potassium chloride to a unionid mussel (Lampsilis siliquoidea) in water exposures: Environmental Toxicology and Chemistry, v. 37, p. 3041-3049, https://doi.org/10.1002/etc.4206.","productDescription":"9 p.","startPage":"3041","endPage":"3049","ipdsId":"IP-094578","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468646,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc6693347","text":"External Repository"},{"id":437853,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HDRZM0","text":"USGS data release","linkHelpText":"Acute toxicity of sodium chloride and potassium chloride to a unionid mussel (Lampsilis siliquoidea) in water exposures-Data"},{"id":380297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","county":"Boone County","otherGeospatial":"Perche Creek, Silver Fork","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.45389938354492,\n 38.8911664375226\n ],\n [\n -92.33407974243164,\n 38.8911664375226\n ],\n [\n -92.33407974243164,\n 39.00224370106619\n ],\n [\n -92.45389938354492,\n 39.00224370106619\n ],\n [\n -92.45389938354492,\n 38.8911664375226\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","edition":"12","noUsgsAuthors":false,"publicationDate":"2018-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":804364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":804365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":804366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":804367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":804368,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":804369,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bauer, Candice R.","contributorId":150724,"corporation":false,"usgs":false,"family":"Bauer","given":"Candice","email":"","middleInitial":"R.","affiliations":[{"id":18077,"text":"U. S. Environmental Protection Agency, Region 5, Water Quality Branch, Chicago, Illinois","active":true,"usgs":false}],"preferred":false,"id":804370,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mount, David R.","contributorId":150725,"corporation":false,"usgs":false,"family":"Mount","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":18078,"text":"U. S. Environmental Protection Agency, Environmental Effects Research Laboratory, Duluth, Minnesota","active":true,"usgs":false}],"preferred":false,"id":804371,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70197625,"text":"sim3409 - 2018 - Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017","interactions":[],"lastModifiedDate":"2018-09-25T08:04:18","indexId":"sim3409","displayToPublicDate":"2018-06-19T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3409","title":"Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017","docAbstract":"Clearwater Lake, on the Black River near Piedmont in Reynolds County, Missouri, was constructed in 1948 and is operated by the U.S. Army Corps of Engineers for flood-risk reduction, recreation, and fish and wildlife habitat. The lake area is about 1,800 acres with about 34 miles of shoreline at the conservation pool elevation of 498 feet. Since the completion of the lake in 1948, sedimentation likely has caused the storage capacity of the lake to decrease gradually. The loss of storage capacity can decrease the effectiveness of the lake to mitigate flooding, and excessive sediment accumulation also can reduce aquatic habitat in some areas of the lake. Many lakes operated by the U.S. Army Corps of Engineers have periodic bathymetric and sediment surveys to monitor the status of the lake. The U.S. Geological Survey completed one such survey of Clearwater Lake in 2008 during a period of high lake level using bathymetric surveying equipment consisting of a multibeam echosounder, a singlebeam echosounder, 1/3 arc-second National Elevation Dataset data (used outside the multibeam echosounder survey extent), and the waterline derived from 2008 aerial light detection and ranging (lidar) data. In May 2017, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, surveyed the bathymetry of Clearwater Lake to prepare an updated bathymetric map and a surface area and capacity table. The 2008 survey was contrasted with the 2017 survey to document the changes in the bathymetric surface of the lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3409","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Richards, J.M., and Huizinga, R.J., 2018, Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017: U.S. Geological Survey Scientific Investigations Map 3409, 1 sheet, https://doi.org/10.3133/sim3409.","productDescription":"Sheet: 36.0 x 36.0 inches; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-095869","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":355036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3409/coverthb2.jpg"},{"id":355141,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3409/sim3409.pdf","text":"Map","size":"9.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3409"},{"id":355142,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7DN44BJ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Bathymetric data for Clearwater Lake near Piedmont, Missouri, 2017"}],"country":"United States","state":"Missouri","city":"Piedmont","otherGeospatial":"Clearwater Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.9,\n 37.33\n ],\n [\n -90.67,\n 37.33\n ],\n [\n -90.67,\n 37.0833\n ],\n [\n -90.9,\n 37.0833\n ],\n [\n -90.9,\n 37.33\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center, Missouri Office
U.S. Geological Survey
400 Independence Road
Rolla, MO 65401
Question
How closely do riparian plant communities track hydrological and climatic variation in space, and how do interactions among hydrological and climatic filters influence success of flow management strategies?
Location
Grand Canyon, Arizona, USA.
Methods
Multi‐year vegetation surveys were conducted across three hydrological zones – active channel, active floodplain and inactive floodplain – within each of 42 sandbars that vary geographically in temperature and precipitation along a 400‐km river segment. Ecological niche models were used to estimate locally optimal conditions of maximum inundation duration, elevation above daily peak flow, mean annual precipitation, and mean maximum and minimum temperature for 16 of the most abundant woody and 58 most abundant herbaceous plant species. These estimates were used to calculate community‐weighted mean (CWM) environmental preferences, which were used to determine how closely vegetation preferences tracked local variation in environmental factors, and to assess interactive responses of species and communities to variation in hydrology and climate.
Results
Communities closely tracked hydrological variation across zones, but less so within zones. Communities tracked variation in minimum temperature more closely than maximum temperature or precipitation. At the species level, woody plants that were more abundant in wetter hydrological conditions were also more abundant in wetter climatic conditions, and vice versa. This relationship was even stronger at the community level, where there were significant negative relationships between CWM preferences of inundation duration and temperature for both woody and herbaceous vegetation.
Conclusions
The climate‐hydrology linkages found in this system suggest that increasing temperatures and drought are likely to reduce the inundation tolerance of riparian vegetation within the Grand Canyon. Increasing the duration of high flow events would likely reduce the abundance of encroaching woody vegetation, but could also reduce the resilience of remaining vegetation to heat waves and drought. The reinforcing effects of climatic and hydrological filters are likely to generally result in greater sensitivity of species composition to environmental change than if those environmental filters acted independently. These results have implications for predicting resource responses to environmental change, as well as prescriptions for direct vegetation management to enhance resilience.
Communities resident in urban areas located near active volcanoes can experience volcanic ash exposures during, and following, an eruption, in addition to sustained exposures to high concentrations of anthropogenic air pollutants (e.g., vehicle exhaust emissions). Inhalation of anthropogenic pollution is known to cause the onset of, or exacerbate, respiratory and cardiovascular diseases. It is further postulated similar exposure to volcanic ash can also affect such disease states. Understanding of the impact of combined exposure of volcanic ash and anthropogenic pollution to human health, however, remains limited.
The aim of this study was to assess the biological impact of combined exposure to respirable volcanic ash (from Soufrière Hills volcano (SHV), Montserrat and Chaitén volcano (ChV), Chile; representing different magmatic compositions and eruption styles) and freshly-generated complete exhaust from a gasoline vehicle. A multicellular human lung model (an epithelial cell-layer composed of A549 alveolar type II-like cells complemented with human blood monocyte-derived macrophages and dendritic cells cultured at the air-liquid interface) was exposed to diluted exhaust (1:10) continuously for 6 h, followed by immediate exposure to the ash as a dry powder (0.54 ± 0.19 μg/cm2 and 0.39 ± 0.09 μg/cm2 for SHV and ChV ash, respectively). After an 18 h incubation, cells were exposed again for 6 h to diluted exhaust, and a final 18 h incubation (at 37 °C and 5% CO2). Cell cultures were then assessed for cytotoxic, oxidative stress and (pro-)inflammatory responses.
Results indicate that, at all tested (sub-lethal) concentrations, co-exposures with both ash samples induced no significant expression of genes associated with oxidative stress (HMOX1, NQO1) or production of (pro-)inflammatory markers (IL-1β, IL-8, TNF-α) at the gene and protein levels. In summary, considering the employed experimental conditions, combined exposure of volcanic ash and gasoline vehicle exhaust has a limited short-term biological impact to an advanced lung cell in vitro model.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.01.115","usgsCitation":"Tomasek, I., Horwell, C.J., Bisig, C., Damby, D., Comte, P., Czerwinski, J., Petri-Fink, A., Clift, M., Drasler, B., and Rothen-Rutishauer, B., 2018, Respiratory hazard assessment of combined exposure to complete gasoline exhaust and respirable volcanic ash in a multicellular human lung model at the air-liquid interface: Environmental Pollution, v. 238, p. 977-987, https://doi.org/10.1016/j.envpol.2018.01.115.","productDescription":"12 p.","startPage":"977","endPage":"987","ipdsId":"IP-094236","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468648,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2018.01.115","text":"Publisher Index Page"},{"id":355177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"238","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e559e4b060350a15d103","contributors":{"authors":[{"text":"Tomasek, Ines","contributorId":205741,"corporation":false,"usgs":false,"family":"Tomasek","given":"Ines","email":"","affiliations":[{"id":37158,"text":"Institute of Hazard, Risk & Resilience, Department of Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":738328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwell, Claire J.","contributorId":177455,"corporation":false,"usgs":false,"family":"Horwell","given":"Claire","email":"","middleInitial":"J.","affiliations":[{"id":16770,"text":"Dept. Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":738329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bisig, Christoph","contributorId":205742,"corporation":false,"usgs":false,"family":"Bisig","given":"Christoph","email":"","affiliations":[{"id":37159,"text":"Adolphe Merkle Institute, University of Fribourg, Switzerland","active":true,"usgs":false}],"preferred":false,"id":738330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":738327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Comte, Pierre","contributorId":205743,"corporation":false,"usgs":false,"family":"Comte","given":"Pierre","email":"","affiliations":[{"id":37160,"text":"Bern University for Applied Sciences, Nidau, Switzerland","active":true,"usgs":false}],"preferred":false,"id":738331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Czerwinski, Jan","contributorId":205744,"corporation":false,"usgs":false,"family":"Czerwinski","given":"Jan","email":"","affiliations":[{"id":37160,"text":"Bern University for Applied Sciences, Nidau, Switzerland","active":true,"usgs":false}],"preferred":false,"id":738332,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Petri-Fink, Alke","contributorId":177458,"corporation":false,"usgs":false,"family":"Petri-Fink","given":"Alke","email":"","affiliations":[],"preferred":false,"id":738333,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clift, Martin J D","contributorId":205745,"corporation":false,"usgs":false,"family":"Clift","given":"Martin J D","affiliations":[{"id":37161,"text":"Swansea University Medical School, Swansea, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":738334,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drasler, Barbara","contributorId":205746,"corporation":false,"usgs":false,"family":"Drasler","given":"Barbara","email":"","affiliations":[{"id":37159,"text":"Adolphe Merkle Institute, University of Fribourg, Switzerland","active":true,"usgs":false}],"preferred":false,"id":738335,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rothen-Rutishauer, Barbara","contributorId":205747,"corporation":false,"usgs":false,"family":"Rothen-Rutishauer","given":"Barbara","email":"","affiliations":[{"id":37159,"text":"Adolphe Merkle Institute, University of Fribourg, Switzerland","active":true,"usgs":false}],"preferred":false,"id":738336,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70197754,"text":"70197754 - 2018 - Reverse weathering in marine sediments and the geochemical cycle of potassium in seawater: Insights from the K isotopic composition (41K/39K) of deep-sea pore-fluids","interactions":[],"lastModifiedDate":"2018-08-03T16:12:29","indexId":"70197754","displayToPublicDate":"2018-06-19T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reverse weathering in marine sediments and the geochemical cycle of potassium in seawater: Insights from the K isotopic composition (41K/39K) of deep-sea pore-fluids","title":"Reverse weathering in marine sediments and the geochemical cycle of potassium in seawater: Insights from the K isotopic composition (41K/39K) of deep-sea pore-fluids","docAbstract":"In situ Al-silicate formation, also known as “reverse weathering,” is an important sink of many of the major and minor cations in seawater (e.g. Mg, K, and Li). However, the importance of this sink in global geochemical cycles and isotopic budgets of these elements remains poorly constrained. Here, we report on the potassium isotopic composition (