{"pageNumber":"838","pageRowStart":"20925","pageSize":"25","recordCount":184617,"records":[{"id":70199069,"text":"70199069 - 2018 - USA National Phenology Network supports decision making","interactions":[],"lastModifiedDate":"2018-09-06T13:26:59","indexId":"70199069","displayToPublicDate":"2018-08-01T13:18:26","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"USA National Phenology Network supports decision making","docAbstract":"<p>The USA National Phenology Network is a federally-funded, nationalscale science and monitoring initiative focused on phenology as a tool to understand how plants, animals, and landscapes respond to environmental variation and change.</p>","language":"English","publisher":"USA National Phenology Network","usgsCitation":"Weltzin, J., Crimmins, T.M., Posthumus, E.E., and Rosemartin, A., 2018, USA National Phenology Network supports decision making, 2 p.","productDescription":"2 p.","ipdsId":"IP-094891","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":356965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356961,"type":{"id":11,"text":"Document"},"url":"https://www.usanpn.org/files/npn/reports/USA-NPN-decision-making.pdf"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a295e4b0702d0e842f69","contributors":{"authors":[{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":true,"id":743921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crimmins, Theresa M.","contributorId":178236,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Posthumus, Erin E. 0000-0003-3855-2380","orcid":"https://orcid.org/0000-0003-3855-2380","contributorId":204418,"corporation":false,"usgs":false,"family":"Posthumus","given":"Erin","email":"","middleInitial":"E.","affiliations":[{"id":40537,"text":"USA National Phenology Network, National Coordinating Office; University of Arizona, School of Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":743923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosemartin, Alyssa","contributorId":175226,"corporation":false,"usgs":false,"family":"Rosemartin","given":"Alyssa","affiliations":[],"preferred":false,"id":743924,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196841,"text":"70196841 - 2018 - Selective occupancy of a persistent yet variable coastal river plume by two seabird species","interactions":[],"lastModifiedDate":"2018-08-07T12:31:38","indexId":"70196841","displayToPublicDate":"2018-08-01T12:31:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Selective occupancy of a persistent yet variable coastal river plume by two seabird species","docAbstract":"<p><span>Advances in telemetry and modeling of physical processes expand opportunities to assess relationships between marine predators and their dynamic habitat. The Columbia River plume (CRP) attracts sooty shearwaters&nbsp;</span><i>Ardenna grisea</i><span>&nbsp;and common murres&nbsp;</span><i>Uria aalge</i><span>, but how seabirds respond to variability in plume waters is unknown. We characterized seabird distributions in relation to hourly, daily, monthly, and seasonal variation in CRP location and surface area by attaching satellite telemetry tags to shearwaters in 2008 and 2009, and to murres in 2012 and 2013. We matched seabird locations to surface salinity from a high-resolution hydrodynamic model of the CRP and adjacent waters. Utilization distributions indicated high-use areas north of the Columbia River mouth and in continental shelf waters. Shearwater and murre occupancy of tidal (&lt;21 psu), recirculating (21-26 psu), and boundary (26-31 psu) plume waters was on average 31% greater than expected and positively correlated with CRP surface area. Seabird latitude was positively correlated with latitude of the geographic center of the CRP, indicating that birds move in phase with the plume. We detected a threshold response of seabirds to plume size, and birds were closer to the convergent CRP boundary (28 psu isohaline) after a surface area threshold between 1500 and 4000 km</span><sup>2</sup><span>&nbsp;was exceeded. We conclude that shearwaters and murres selectively occupy and track plume waters, particularly dynamic boundary waters where foraging opportunities may be enhanced by increases in surface area and associated biophysical coupling that aggregates zooplankton and attracts prey fishes.</span></p>","language":"English","publisher":"Wiley","doi":"10.3354/meps12534","usgsCitation":"Phillips, E.M., Horne, J., Adams, J., and Zamon, J.E., 2018, Selective occupancy of a persistent yet variable coastal river plume by two seabird species: Marine Ecology Progress Series, v. 594, p. 245-261, https://doi.org/10.3354/meps12534.","productDescription":"17 p.","startPage":"245","endPage":"261","ipdsId":"IP-095510","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468539,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/65343","text":"External Repository"},{"id":356283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"594","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3ebe4b0f5d57878e937","contributors":{"authors":[{"text":"Phillips, Elizabeth M.","contributorId":204681,"corporation":false,"usgs":false,"family":"Phillips","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":734671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horne, John K.","contributorId":204682,"corporation":false,"usgs":false,"family":"Horne","given":"John K.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":734672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":734670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zamon, Jeannette E.","contributorId":168453,"corporation":false,"usgs":false,"family":"Zamon","given":"Jeannette","email":"","middleInitial":"E.","affiliations":[{"id":25294,"text":"NOAA/NMFS/NWFSC","active":true,"usgs":false}],"preferred":false,"id":734673,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198892,"text":"70198892 - 2018 - Nestling development and aging of Arizona Grasshopper Sparrow","interactions":[],"lastModifiedDate":"2018-08-27T12:27:22","indexId":"70198892","displayToPublicDate":"2018-08-01T12:27:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5734,"text":"Arizona Birds","active":true,"publicationSubtype":{"id":10}},"title":"Nestling development and aging of Arizona Grasshopper Sparrow","docAbstract":"<p><span>We studied breeding Arizona Grasshopper Sparrow (</span><i>Ammodramus savannarum ammolegus</i><span>) status and distribution, natural and life history, habitat use, and nest survival from 2004 through 2014 in southeastern Arizona. In this paper we present descriptions and photographs of known-age nestlings that will assist field biologists to identify Arizona Grasshopper Sparrow nestlings to species, more accurately age them for nest survival studies, and conduct more detailed nestling development studies. Our observations of developing characteristics included: eyes, ears, skin, down, major feather tracts, bill, rictal flange and gape colors and patterns, and behavior. More field data collection is required to supplement our information and to determine how broadly applicable this information is to other Grasshopper Sparrow subspecies.</span></p>","language":"English","publisher":"Arizona Field Ornithologists","usgsCitation":"Ruth, J.M., and Kitting, J., 2018, Nestling development and aging of Arizona Grasshopper Sparrow: Arizona Birds, v. 2018, p. 1-13.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-096076","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":356783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356719,"type":{"id":15,"text":"Index Page"},"url":"https://arizonabirds.org/journal/nestling-development-and-aging-arizona-grasshopper-sparrow"}],"volume":"2018","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a295e4b0702d0e842f6b","contributors":{"authors":[{"text":"Ruth, Janet M. 0000-0003-1576-5957 janet_ruth@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-5957","contributorId":1408,"corporation":false,"usgs":true,"family":"Ruth","given":"Janet","email":"janet_ruth@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":743282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kitting, Jason","contributorId":207230,"corporation":false,"usgs":false,"family":"Kitting","given":"Jason","email":"","affiliations":[{"id":37488,"text":"University of New Mexico undergraduate student","active":true,"usgs":false}],"preferred":false,"id":743283,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200627,"text":"70200627 - 2018 - A novel high-frequency groundwater quality monitoring system","interactions":[],"lastModifiedDate":"2018-10-25T12:26:08","indexId":"70200627","displayToPublicDate":"2018-08-01T12:26:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"A novel high-frequency groundwater quality monitoring system","docAbstract":"<p><span>High-frequency, long-term monitoring of water quality has revolutionized the study of surface waters in recent years. However, application of these techniques to groundwater has been limited by the ability to remotely pump and analyze groundwater. This paper describes a novel autonomous groundwater quality monitoring system which samples multiple wells to evaluate temporal changes and identify trends in groundwater chemistry. The system, deployed near Fresno, California, USA, collects and transmits high-frequency data, including water temperature, specific conductance, pH, dissolved oxygen, and nitrate, from supply and monitoring wells, in real-time. The system consists of a water quality sonde and optical nitrate sensor, manifold, submersible three-phase pump, variable frequency drive, data collection platform, solar panels, and rechargeable battery bank. The manifold directs water from three wells to a single set of sensors, thereby reducing setup and operation costs associated with multi-sensor networks. Sampling multiple wells at high frequency for several years provided a means of monitoring the vertical distribution and transport of solutes in the aquifer. Initial results show short period variability of nitrate, specific conductivity, and dissolved oxygen in the shallow aquifer, while the deeper portion of the aquifer remains unchanged—observations that may be missed with traditional discrete sampling approaches. In this aquifer system, nitrate and specific conductance are increasing in the shallow aquifer, while invariant changes in deep groundwater chemistry likely reflect relatively slow groundwater flow. In contrast, systems with high groundwater velocity, such as karst aquifers, have been shown to exhibit higher-frequency groundwater chemistry changes. The stability of the deeper aquifer over the monitoring period was leveraged to develop estimates of measurement system uncertainty, which were typically lower than the manufacturer’s stated specifications, enabling the identification of subtle variability in water chemistry that may have otherwise been missed.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-018-6853-6","usgsCitation":"Saraceno, J.F., Kulongoski, J.T., and Mathany, T.M., 2018, A novel high-frequency groundwater quality monitoring system: Environmental Monitoring and Assessment, v. 190, p. 1-14, https://doi.org/10.1007/s10661-018-6853-6.","productDescription":"Article 477; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-082994","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":358817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.04486083984375,\n              36.46326301239126\n            ],\n            [\n              -119.234619140625,\n              36.46326301239126\n            ],\n            [\n              -119.234619140625,\n              36.99158465967016\n            ],\n            [\n              -120.04486083984375,\n              36.99158465967016\n            ],\n            [\n              -120.04486083984375,\n              36.46326301239126\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"190","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-20","publicationStatus":"PW","scienceBaseUri":"5c10a970e4b034bf6a7e51ce","contributors":{"authors":[{"text":"Saraceno, John Franco 0000-0003-0064-1820 saraceno@usgs.gov","orcid":"https://orcid.org/0000-0003-0064-1820","contributorId":2328,"corporation":false,"usgs":true,"family":"Saraceno","given":"John","email":"saraceno@usgs.gov","middleInitial":"Franco","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":749745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathany, Timothy M. 0000-0002-4747-5113 tmathany@usgs.gov","orcid":"https://orcid.org/0000-0002-4747-5113","contributorId":191771,"corporation":false,"usgs":true,"family":"Mathany","given":"Timothy","email":"tmathany@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749746,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198890,"text":"70198890 - 2018 - Reproductive response of Arizona Grasshopper Sparrows to weather patterns and habitat structure","interactions":[],"lastModifiedDate":"2018-08-27T12:23:53","indexId":"70198890","displayToPublicDate":"2018-08-01T12:23:48","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive response of Arizona Grasshopper Sparrows to weather patterns and habitat structure","docAbstract":"<p><span>Avian species endemic to desert grasslands of North America contend with significant ecological challenges, including monsoonal rains, droughts, and variable temperatures. These birds have evolved physiological and behavioral means of coping with such extremes, but ongoing changes to temperature and precipitation patterns are affecting their breeding phenology, reproductive success, and population growth rates. We examined how seasonal and daily weather conditions and habitat structure were associated with the nest survival of Arizona Grasshopper Sparrows (</span><i>Ammodramus savannarum ammolegus</i><span>) in the semidesert and plains grasslands of southeastern Arizona, USA. The mean ± SE daily survival rate (DSR) of nests was 0.960 ± 0.006, corresponding to overall nest success of 46%. The previous season's precipitation, large rain events, and nest concealment were the most important factors explaining DSR. Grasshopper Sparrow nest survival decreased with a wetter previous growing season and with large rain events on previous days. Nests that were more concealed had lower survival rates. There was some evidence that nest survival was lower later in the nesting season. In addition, when nest concealment was included in models, there were positive but weak associations between other vegetation variables and DSR—nests with higher visual obstruction at the nest and nest plot scales, and nests that were farther from shrubs &gt;2 m tall, showed higher survival rates. Predation was the major cause of nest failure, suggesting complex interactions among predation, precipitation, and nest concealment. Further, our findings suggest tradeoffs in the potential effects of future climate change on&nbsp;</span><i>A. s. ammolegus</i><span>. The increased frequency of extreme storm events predicted for the region may result in reduced nest survival of&nbsp;</span><i>A. s. ammolegus</i><span>, but, conversely, lower seasonal precipitation prior to nesting may positively influence nest survival.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-128.1","usgsCitation":"Ruth, J.M., and Skagen, S., 2018, Reproductive response of Arizona Grasshopper Sparrows to weather patterns and habitat structure: The Condor, v. 120, no. 3, p. 596-616, https://doi.org/10.1650/CONDOR-17-128.1.","productDescription":"21 p.","startPage":"596","endPage":"616","ipdsId":"IP-073346","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468540,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1650/CONDOR-17-128.1","text":"External Repository"},{"id":437804,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9USE8CH","text":"USGS data release","linkHelpText":"Arizona Grasshopper Sparrow nest monitoring data 2011 to 2013"},{"id":356782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","volume":"120","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a295e4b0702d0e842f6d","contributors":{"authors":[{"text":"Ruth, Janet M. 0000-0003-1576-5957 janet_ruth@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-5957","contributorId":1408,"corporation":false,"usgs":true,"family":"Ruth","given":"Janet","email":"janet_ruth@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":743279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Skagen, Susan K. 0000-0002-6744-1244 skagens@usgs.gov","orcid":"https://orcid.org/0000-0002-6744-1244","contributorId":167829,"corporation":false,"usgs":true,"family":"Skagen","given":"Susan K.","email":"skagens@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":743280,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70201112,"text":"70201112 - 2018 - Assessment of Alaska rain-on-snow events using dynamical downscaling","interactions":[],"lastModifiedDate":"2018-11-29T12:01:05","indexId":"70201112","displayToPublicDate":"2018-08-01T12:00:58","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5202,"text":"Journal of Applied Meteorology and Climatology","onlineIssn":"1558-8432","printIssn":"1558-8424","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of Alaska rain-on-snow events using dynamical downscaling","docAbstract":"<p><span>The ice formed by cold-season rainfall or rain on snow (ROS) has striking impacts on the economy and ecology of Alaska. An understanding of the atmospheric drivers of ROS events is required to better predict them and plan for environmental change. The spatially/temporally sparse network of stations in Alaska makes studying such events challenging, and gridded reanalysis or remote sensing products are necessary to fill the gaps. Recently developed dynamically downscaled climate data provide a new suite of high-resolution variables for investigating historical and projected ROS events across all of Alaska from 1979 to 2100. The dynamically downscaled reanalysis data of ERA-Interim replicated the seasonal patterns of ROS events but tended to produce more rain events than in station observations. However, dynamical downscaling reduced the bias toward more rain events in the coarse reanalysis. ROS occurred most frequently over southwestern and southern coastal regions. Extreme events with the heaviest rainfall generally coincided with anomalous high pressure centered to the south/southeast of the locations receiving the event and warm-air advection from the resulting southwesterly wind flow. ROS events were projected to increase in frequency overall and for extremes across most of the region but were expected to decline over southwestern/southern Alaska. Increases in frequency were projected as a result of more frequent winter rainfall, but the number of ROS events may ultimately decline in some areas as a result of temperatures rising above the freezing threshold. These projected changes in ROS can significantly affect wildlife, vegetation, and human activities across the Alaska landscape.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JAMC-D-17-0276.1","usgsCitation":"Bieniek, P.A., Bhatt, U.S., Walsh, J.E., Lader, R., Griffith, B., Roach, J.K., and Thoman, R.L., 2018, Assessment of Alaska rain-on-snow events using dynamical downscaling: Journal of Applied Meteorology and Climatology, v. 57, p. 1847-1863, https://doi.org/10.1175/JAMC-D-17-0276.1.","productDescription":"17 p.","startPage":"1847","endPage":"1863","ipdsId":"IP-091265","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468541,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/jamc-d-17-0276.1","text":"External 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E.","contributorId":210909,"corporation":false,"usgs":false,"family":"Walsh","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":752721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lader, Rick","contributorId":210910,"corporation":false,"usgs":false,"family":"Lader","given":"Rick","email":"","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":752722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffith, Brad 0000-0001-8698-6859","orcid":"https://orcid.org/0000-0001-8698-6859","contributorId":82571,"corporation":false,"usgs":true,"family":"Griffith","given":"Brad","email":"","affiliations":[{"id":108,"text":"Alaska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":true,"id":752718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roach, Jennifer K.","contributorId":210911,"corporation":false,"usgs":false,"family":"Roach","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":752723,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thoman, Richard L.","contributorId":210912,"corporation":false,"usgs":false,"family":"Thoman","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":752724,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198584,"text":"70198584 - 2018 - Salinity tolerance among three freshwater mussels (Bivalvia: Unionidae) from Gulf Coastal Plain drainages","interactions":[],"lastModifiedDate":"2018-08-10T11:45:39","indexId":"70198584","displayToPublicDate":"2018-08-01T11:45:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1672,"text":"Florida Scientist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Salinity tolerance among three freshwater mussels (<i>Bivalvia: Unionidae</i>) from Gulf Coastal Plain drainages","title":"Salinity tolerance among three freshwater mussels (Bivalvia: Unionidae) from Gulf Coastal Plain drainages","docAbstract":"An important physiological constraint influencing distributions of coastal freshwater organisms is their tolerance for saline conditions. We experimentally evaluated salinity tolerance for three freshwater mussel species (Utterbackia imbecillis, Elliptio jayensis, and Glebula rotundata). Mussels were transferred abruptly from well water to one of five treatments (0 [control], 6, 12, 18 or 24 parts per thousand [ppt]). Utterbackia imbecillis survived on average about 2 days at treatments 6 ppt, while Elliptio jayensis survived slightly longer (about 4 days). Glebula rotundata was most tolerant to salinity, surviving as well at 6 and 12 ppt as it did in the control. Additionally, G. rotundata survived at higher salinities (18 and 24 ppt) for an average of 7–8 days. To our knowledge, this is the highest salinity tolerance ever reported for a unionid. The salinity tolerance of U. imbecillis may be influenced by its inability to completely seal its valves. The variation we found in salinity tolerance of these species corresponds with their distributions in the Gulf Coastal Plain drainages: U. imbecillis and E. jayensis are primarily found in strictly freshwater habitats whereas G. rotundata inhabits lower reaches of rivers closer to the coast. Stressors such as increased frequency and intensity of storms, sea level rise, drought, low flows, fossil fuel extraction, and municipal water withdrawals, among others, may increase salinities in freshwater ecosystems, potentially stressing mussels such as U. imbecillis and E. jayensis with low salinity tolerance.","language":"English","publisher":"Florida Academy of Sciences","usgsCitation":"Johnson, N.A., Schofield, P.J., Williams, J.D., and Austin, J.D., 2018, Salinity tolerance among three freshwater mussels (Bivalvia: Unionidae) from Gulf Coastal Plain drainages: Florida Scientist, v. 81, no. 2-3, p. 61-69.","productDescription":"8 p.","startPage":"61","endPage":"69","ipdsId":"IP-096286","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":356389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356358,"type":{"id":15,"text":"Index Page"},"url":"https://fas.fit.edu/florida-scientist/"}],"volume":"81","issue":"2-3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3ece4b0f5d57878e939","contributors":{"authors":[{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":742035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":742036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, James D.","contributorId":17690,"corporation":false,"usgs":false,"family":"Williams","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":742037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Austin, James D.","contributorId":206799,"corporation":false,"usgs":false,"family":"Austin","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":742038,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199920,"text":"70199920 - 2018 - Phenology forecasts predict pest seasonal activity to support decision making","interactions":[],"lastModifiedDate":"2019-02-12T16:55:05","indexId":"70199920","displayToPublicDate":"2018-08-01T11:26:31","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5779,"text":"USA-NPN Information Sheet","active":true,"publicationSubtype":{"id":9}},"title":"Phenology forecasts predict pest seasonal activity to support decision making","docAbstract":"<p>The USA National Phenology Network (USANPN) produces and distributes daily national phenology maps – or Pheno Forecasts – indicating when key pest species may be most susceptible to management as part of a growing suite of phenology map products. </p><p>The USA-NPN’s Pheno Forecast maps show when key pest species, including emerald ash borer (Agrilus planipennis), apple maggot (Rhagoletis pomonella), lilac borer (Podosesia syringae), hemlock woolly adelgid (Adelges tsugae), and winter moth (Operophtera brumata), are most susceptible to management treatments (Figures 1, 2, 3). These maps, available at 2.5 km spatial resolution, are updated daily and are available six days into the future. </p>","language":"English","publisher":"USA National Phenology Network Publishing","usgsCitation":"Weltzin, J., Crimmins, T.M., Posthumous, E., Rosemartin, A., and Gerst, K.L., 2018, Phenology forecasts predict pest seasonal activity to support decision making: USA-NPN Information Sheet, 2 p.","productDescription":"2 p.","ipdsId":"IP-098863","costCenters":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"links":[{"id":359545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358116,"type":{"id":11,"text":"Document"},"url":"https://www.usanpn.org/files/npn/reports/USA-NPN_PestMapInfo-Sheet_Final.pdf","linkFileType":{"id":1,"text":"pdf"}}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf3d9f3e4b045bfcae0c9bd","contributors":{"authors":[{"text":"Weltzin, Jake 0000-0001-8641-6645 jweltzin@usgs.gov","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":196323,"corporation":false,"usgs":true,"family":"Weltzin","given":"Jake","email":"jweltzin@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":433,"text":"National Phenology Network","active":true,"usgs":true}],"preferred":true,"id":747282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crimmins, Theresa M.","contributorId":178236,"corporation":false,"usgs":false,"family":"Crimmins","given":"Theresa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":747283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Posthumous, Erin","contributorId":208442,"corporation":false,"usgs":false,"family":"Posthumous","given":"Erin","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":747284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosemartin, Alyssaa","contributorId":208443,"corporation":false,"usgs":false,"family":"Rosemartin","given":"Alyssaa","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":747285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerst, Katharine L.","contributorId":175227,"corporation":false,"usgs":false,"family":"Gerst","given":"Katharine","email":"","middleInitial":"L.","affiliations":[{"id":27543,"text":"National Phenology Network, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":747286,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204570,"text":"70204570 - 2018 - Examination of multiple working hypotheses to address reproductive failure in reintroduced Whooping Cranes","interactions":[],"lastModifiedDate":"2019-08-05T11:40:46","indexId":"70204570","displayToPublicDate":"2018-08-01T11:25:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Examination of multiple working hypotheses to address reproductive failure in reintroduced Whooping Cranes","docAbstract":"<p><span>Understanding multiple challenges that restrict conservation success is a central task of applied ecology, especially when resources are limited and actions are expensive, such as with reintroduction programs. Simultaneous consideration of multiple hypotheses can expedite identification of factors that most limit conservation success. Since 2001, reintroduction of a migratory population of Whooping Cranes (</span><i>Grus americana</i><span>) has been under way in eastern North America. Hatching success, however, has been extremely low. In our study area, in and near Necedah National Wildlife Refuge in central Wisconsin, USA, we simultaneously tested 3 hypotheses explaining poor hatching success: harassment of incubating birds by black flies (Simuliidae), effects of captivity, and inexperience of breeders. When black flies were experimentally suppressed, hatching probability doubled. Daily nest survival for Whooping Cranes was strongly and negatively related to an index of black fly abundance, particularly of&nbsp;</span><i>Simulium annulus</i><span>. Daily nest survival was negatively but only weakly related to the number of generations that ancestors of breeding Whooping Cranes had been in captivity and was not related to nesting experience. We also examined whether Whooping Cranes were nesting later to avoid stress from black flies. Phenology shifted earlier with more growing degree days and greater nesting experience and was only weakly related to year. Overall, improved hatching success did not lead to better reproductive success. Although effects of black flies on hatching success can be mitigated through management, such actions would not be adequate to generate satisfactory population growth. Recognition of this limitation was hastened through experimentation.</span></p>","language":"English","publisher":"BioOne","doi":"10.1650/CONDOR-17-263.1","usgsCitation":"Barzen, J.A., Converse, S.J., Adler, P.H., Lacy, A.E., Gray, E., and Gossens, A., 2018, Examination of multiple working hypotheses to address reproductive failure in reintroduced Whooping Cranes: Condor, v. 120, no. 3, p. 632-649, https://doi.org/10.1650/CONDOR-17-263.1.","productDescription":"18 p.","startPage":"632","endPage":"649","ipdsId":"IP-085770","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":366255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Necedah National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.2471923828125,\n              44.01010167593619\n            ],\n            [\n              -90.0830841064453,\n              44.01010167593619\n            ],\n            [\n              -90.0830841064453,\n              44.25110134697976\n            ],\n            [\n              -90.2471923828125,\n              44.25110134697976\n            ],\n            [\n              -90.2471923828125,\n              44.01010167593619\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"120","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barzen, Jeb A.","contributorId":190797,"corporation":false,"usgs":false,"family":"Barzen","given":"Jeb","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":767674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":767605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adler, Peter H.","contributorId":89797,"corporation":false,"usgs":true,"family":"Adler","given":"Peter","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":767675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lacy, Anne E","contributorId":174362,"corporation":false,"usgs":false,"family":"Lacy","given":"Anne","email":"","middleInitial":"E","affiliations":[{"id":16606,"text":"International Crane Foundation","active":true,"usgs":false}],"preferred":false,"id":767676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, Elmer","contributorId":9969,"corporation":false,"usgs":true,"family":"Gray","given":"Elmer","email":"","affiliations":[],"preferred":false,"id":767677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gossens, Andrew","contributorId":217848,"corporation":false,"usgs":false,"family":"Gossens","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":767678,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198357,"text":"70198357 - 2018 - Broad‐scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage‐grouse and other sensitive prey","interactions":[],"lastModifiedDate":"2018-10-23T16:59:03","indexId":"70198357","displayToPublicDate":"2018-08-01T11:14:08","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Broad‐scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage‐grouse and other sensitive prey","docAbstract":"<p>Expanding human enterprise across remote environments impacts numerous wildlife species. Anthropogenic resources provide subsidies for generalist predators that can lead to cascading effects on prey species at lower trophic levels. A fundamental challenge for applied ecologists is to disentangle natural and anthropogenic influences on species occurrence, and subsequently develop spatially explicit models to help inform management and conservation decisions.</p><p>Using Bayesian hierarchical occupancy models, we mapped the broad‐scale occurrence of common ravens<span>&nbsp;</span><i>Corvus corax</i><span>&nbsp;</span>as a function of natural and anthropogenic landscape covariates using &gt;15,000 point count surveys performed during 2007–2016 within the Great Basin region, USA. Raven abundance and distribution is substantially increasing across the American west due to unintended anthropogenic resource subsidies. Importantly, ravens prey on eggs and chicks of numerous species including greater sage‐grouse<span>&nbsp;</span><i>Centrocercus urophasianus</i>, an indicator species whose decline is at the centre of national conservation strategies and land use policies.Anthropogenic factors that contributed to greater raven occurrence were: increased road density, presence of transmission lines, agricultural activity, and presence of roadside rest areas. Natural landscape characteristics included lower elevations with greener vegetation (NDVI), greater stream and habitat edge densities, and lower percentages of big sagebrush<span>&nbsp;</span><i>A. tridentata spp</i>.</p><p>Interactions between anthropogenic sources of nesting substrate and food subsidies suggested that raven occurrence increased multiplicatively when these resource subsidies co‐occurred. Overall, the average probability of raven occurrence estimated within sagebrush ecosystems of the study area was ~0.83.</p><p><i>Synthesis and applications</i>. We demonstrate how anthropogenic factors can be disentangled from natural effects when making spatially‐explicit predictions of subsidized predators occurring across expansive landscapes. This approach can guide management decisions where subsidized predators overlap sensitive prey habitats. For example, we identify areas where elevated raven occurrence coincides with breeding sage‐grouse concentration areas and appears to be largely driven by anthropogenic factors. Management applications could focus on reducing raven access to anthropogenic subsidies in these areas, while prioritizing habitat improvements for sage‐grouse elsewhere. Our approach is applicable to other species where widespread survey data are available.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13249","usgsCitation":"O’Neil, S.T., Coates, P.S., Brussee, B.E., Jackson, P.J., Howe, K., Moser, A.M., Foster, L.J., and Delehanty, D.J., 2018, Broad‐scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage‐grouse and other sensitive prey: Journal of Applied Ecology, v. 55, no. 6, p. 2641-2652, https://doi.org/10.1111/1365-2664.13249.","productDescription":"12 p.","startPage":"2641","endPage":"2652","ipdsId":"IP-097721","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468542,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13249","text":"Publisher Index Page"},{"id":437805,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93ONIQT","text":"USGS data release","linkHelpText":"Data from: Broad-scale occurrence of a subsidized avian predator: reducing impacts of ravens on sage-grouse and other sensitive prey"},{"id":356082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-08","publicationStatus":"PW","scienceBaseUri":"5b6fc3ece4b0f5d57878e93b","contributors":{"authors":[{"text":"O’Neil, Shawn T.","contributorId":62533,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":741233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":741234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Pat J.","contributorId":206602,"corporation":false,"usgs":false,"family":"Jackson","given":"Pat","email":"","middleInitial":"J.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":741235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Howe, Kristy B.","contributorId":192078,"corporation":false,"usgs":false,"family":"Howe","given":"Kristy B.","affiliations":[],"preferred":false,"id":741236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moser, Ann M.","contributorId":206592,"corporation":false,"usgs":false,"family":"Moser","given":"Ann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741237,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foster, Lee J.","contributorId":201654,"corporation":false,"usgs":false,"family":"Foster","given":"Lee","email":"","middleInitial":"J.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":741238,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Delehanty, David J.","contributorId":195584,"corporation":false,"usgs":false,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":741239,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70200933,"text":"70200933 - 2018 - Seasonal streamflow extremes are key drivers of Brook Trout young‐of‐the‐year abundance","interactions":[],"lastModifiedDate":"2018-11-16T11:12:47","indexId":"70200933","displayToPublicDate":"2018-08-01T11:12:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal streamflow extremes are key drivers of Brook Trout young‐of‐the‐year abundance","docAbstract":"<p><span>To manage ecosystems in the context of climate change, we need to understand the relationship between extreme events and population dynamics. Floods and droughts are projected to occur more frequently, but how aquatic species will respond to these extreme events remains uncertain. Based on counts of Brook Trout (</span><i>Salvelinus fontinalis</i><span>) collected over 28&nbsp;yr at 115 sites in Shenandoah National Park, we developed mixed‐effects models to (1) assess how well extreme streamflow, as compared to mean flows and total precipitation, can explain young‐of‐the‐year (YOY) abundance, (2) identify potential nonlinear relationships between seasonal environmental covariates and abundance using nonlinear generalized additive mixed models, and (3) explore likely impacts of expected future weather and streamflow conditions. We found that (1) using covariates of streamflow extremes improved prediction of YOY abundance compared to use of mean seasonal flow values or precipitation as a proxy, (2) warmer maximum daily spring temperatures were associated with increased YOY abundance up to about 1.5 standard deviations, above which abundance declined, and (3) a strong negative effect of extreme winter streamflow, unlikely to be offset by possibly positive effects from other seasons, is expected to have a detrimental impact on Brook Trout populations given predicted increases in winter precipitation. Because YOY abundance is a strong determinant of population dynamics for these short‐lived species, extreme events will have the potential to exert a strong influence on population persistence of Brook Trout in a changing climate. Management actions that maximize resiliency of populations in response to extreme events, such as restoration of habitat connectivity, should be prioritized to buffer negative impacts.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2356","usgsCitation":"Blum, A., Kanno, Y., and Letcher, B., 2018, Seasonal streamflow extremes are key drivers of Brook Trout young‐of‐the‐year abundance: Ecosphere, v. 9, no. 8, p. 1-16, https://doi.org/10.1002/ecs2.2356.","productDescription":"e02356; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-097891","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468543,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2356","text":"Publisher Index Page"},{"id":359511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.9202880859375,\n              38.03078569382294\n            ],\n            [\n              -78.06060791015624,\n              38.03078569382294\n            ],\n            [\n              -78.06060791015624,\n              38.92095542046727\n            ],\n            [\n              -78.9202880859375,\n              38.92095542046727\n            ],\n            [\n              -78.9202880859375,\n              38.03078569382294\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-20","publicationStatus":"PW","scienceBaseUri":"5befe5bce4b045bfcadf7f40","contributors":{"authors":[{"text":"Blum, Annalise G.","contributorId":193846,"corporation":false,"usgs":false,"family":"Blum","given":"Annalise G.","affiliations":[],"preferred":false,"id":751378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kanno, Yoichiro","contributorId":210653,"corporation":false,"usgs":false,"family":"Kanno","given":"Yoichiro","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":751379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Letcher, Benjamin H. 0000-0003-0191-5678 bletcher@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":167313,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin H.","email":"bletcher@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":751377,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211859,"text":"70211859 - 2018 - Quartz solubility in the H2O-NaCl system: A framework for understanding vein formation in porphyry copper deposits","interactions":[],"lastModifiedDate":"2020-08-10T16:10:51.88747","indexId":"70211859","displayToPublicDate":"2018-08-01T11:04:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Quartz solubility in the H<sub>2</sub>O-NaCl system: A framework for understanding vein formation in porphyry copper deposits","title":"Quartz solubility in the H2O-NaCl system: A framework for understanding vein formation in porphyry copper deposits","docAbstract":"<p><span>Porphyry copper deposits consist of low-grade stockwork and disseminated sulfide zones that contain characteristic vein generations formed during the evolution of the magmatic-hydrothermal systems. The present contribution proposes an interpretive framework for the formation of porphyry veins that is based on quartz solubility calculations in the H</span><sub>2</sub><span>O-NaCl system at temperatures of 100° to 1,000°C and pressures of 1 to 2,000 bar. The model predicts that high-temperature (≳500°C) quartz in A veins of deep (≳4 km) porphyry deposits forms as a result of the cooling of ascending intermediate-density fluids at lithostatic conditions. In deposits of intermediate depths (~1.5–4 km), A vein quartz is mostly formed through cooling of ascending hydrothermal fluids under closed-system conditions or quasi-isobaric cooling under open-system conditions within the two-phase field of the H</span><sub>2</sub><span>O-NaCl system. In shallow (≲1.5 km) porphyry deposits, rapid decompression can also result in quartz precipitation, forming so-called banded veins. The high-temperature quartz in A veins is associated with potassic alteration. During continued cooling of the magmatic-hydrothermal system, quartz is formed at intermediate temperatures (≳375°–500°C). This quartz overprints earlier A veins and forms B veins. The fluid inclusion inventory of this quartz generation suggests formation at fluctuating pressure conditions, marking the lithostatic to hydrostatic transition, and the change of wall-rock behavior from ductile to brittle conditions. The quartz is precipitated because of cooling and decompression of the magmatic-hydrothermal fluids under K-feldspar-stable conditions. Textural evidence from many porphyry veins suggests that hypogene sulfide minerals present in A and B veins postdate the quartz, as contacts between quartz and sulfide minerals commonly show dissolution textures. Hypogene sulfide minerals in C veins form at conditions of retrograde quartz solubility, explaining why these veins contain little to no quartz. The quartz solubility calculations suggest that C vein formation occurs at temperatures of ~375° to 450°C from low-salinity, single-phase fluids escaping from the lithostatic to the hydrostatic environment. At the upper end of this temperature range, C veins are biotite stable. However, these veins are associated with chlorite, chlorite-K-feldspar, or chlorite-sericite alteration in most deposits. Late quartz is formed during continued cooling of the hydrothermal fluids at ≲375°C within the single-phase field of the H</span><sub>2</sub><span>O-NaCl system as quartz solubility under these conditions decreases with temperature. This process is responsible for the formation of quartz in D veins and later base metal-bearing E veins, which are associated with phyllic, advanced argillic, or argillic alteration.</span></p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.2018.4580","usgsCitation":"Monecke, T., Monecke, J., Reynolds, T., Tsuruoka, S., Bennett, M.M., Skewes, W.B., and Palin, R.M., 2018, Quartz solubility in the H2O-NaCl system: A framework for understanding vein formation in porphyry copper deposits: Economic Geology, v. 113, no. 5, p. 1007-1046, https://doi.org/10.5382/econgeo.2018.4580.","productDescription":"40 p.","startPage":"1007","endPage":"1046","ipdsId":"IP-086994","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":377280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Monecke, Thomas","contributorId":210730,"corporation":false,"usgs":false,"family":"Monecke","given":"Thomas","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":795433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monecke, Jochen","contributorId":237834,"corporation":false,"usgs":false,"family":"Monecke","given":"Jochen","email":"","affiliations":[{"id":47621,"text":"Institute of Theoretical Physics, TU Bergakademie Freiberg, Leipziger Strae 23, 09596 Freiberg, Germany","active":true,"usgs":false}],"preferred":false,"id":795434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, T James","contributorId":237835,"corporation":false,"usgs":false,"family":"Reynolds","given":"T James","affiliations":[{"id":47622,"text":"FLUID INC., 1401 Wewatta St. #PH3, Denver, Colorado 80202","active":true,"usgs":false}],"preferred":false,"id":795435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tsuruoka, Subaru","contributorId":237836,"corporation":false,"usgs":false,"family":"Tsuruoka","given":"Subaru","email":"","affiliations":[{"id":47623,"text":"Department of Geology and Geological Engineering, Colorado School of Mines, 1516 Illinois Street, Golden, Colorado 80401","active":true,"usgs":false}],"preferred":false,"id":795440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Mitchell M. 0000-0001-9533-9557 mbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-9533-9557","contributorId":199379,"corporation":false,"usgs":true,"family":"Bennett","given":"Mitchell","email":"mbennett@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":795441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skewes, Wiley B","contributorId":237837,"corporation":false,"usgs":false,"family":"Skewes","given":"Wiley","email":"","middleInitial":"B","affiliations":[{"id":47623,"text":"Department of Geology and Geological Engineering, Colorado School of Mines, 1516 Illinois Street, Golden, Colorado 80401","active":true,"usgs":false}],"preferred":false,"id":795442,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Palin, Richard M.","contributorId":237838,"corporation":false,"usgs":false,"family":"Palin","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":795443,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70227936,"text":"70227936 - 2018 - The perpetual state of emergency that sacrifices protected areas in a changing climate","interactions":[],"lastModifiedDate":"2022-02-02T17:50:13.341661","indexId":"70227936","displayToPublicDate":"2018-08-01T10:59:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"The perpetual state of emergency that sacrifices protected areas in a changing climate","docAbstract":"A modern challenge for conservation biology is to assess the consequences of policies that adhere to assumptions of stationarity (e.g. historic norms) in an era of global environmental change. Such policies may result in unexpected and surprising levels of mitigation given future climate change trajectories, especially as agriculture looks to protected areas to buffer against production losses during periods of environmental extremes. Here, we conduct a scenario impact assessment to determine the potential impact of climate change scenarios on the rates at which lands enrolled in the Conservation Reserve Program (CRP) lands are authorized for emergency biomass removal. Grassland biomass on CRP lands is authorized for ‘emergency’ harvesting for agricultural use when precipitation for the last four months falls below 40 percent of the normal, or ‘historical’ mean, precipitation for that four-month period. We develop and analyze scenarios under the condition that policy will continue to operate under assumptions of stationarity, thereby authorizing emergency biomass harvesting solely as a function of precipitation departure from historic norms. Model projections show the historical likelihood of authorizing emergency biomass harvesting in any given year in the northern Great Plains was 33.28 ± 0.96%, according to long-term weather records. Emergency biomass harvesting became the norm (>50% of years) in the scenario reflecting continued increases in emissions and a decrease in growing season precipitation, and areas in the Great Plains with higher historical mean annual rainfall were disproportionately affected and experienced a greater increase in emergency biomass removal. Emergency biomass harvesting decreased only in the scenario reflecting rapid reductions in emissions. Our scenario impact analysis indicates that biomass from lands enrolled in the CRP will be used primarily as a buffer for agriculture in an era of climatic change, unless policy guidelines are adapted or climate change projections significantly depart from the current consensus.","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13099","usgsCitation":"Twidwell, D., Wonkka, C.L., Bielski, C.H., Allen, C.R., Angeler, D., Drozda, J., Garmestani, A.S., Johnson, J., Powell, L., and Roberts, C.P., 2018, The perpetual state of emergency that sacrifices protected areas in a changing climate: Conservation Biology, v. 32, no. 4, p. 905-915, https://doi.org/10.1111/cobi.13099.","productDescription":"11 p.","startPage":"905","endPage":"915","ipdsId":"IP-094023","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Nebraska, North Dakota, South Dakota, Wyoming","otherGeospatial":"Great Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.2509765625,\n              48.99463598353405\n            ],\n            [\n              -113.84033203125,\n              49.009050809382046\n            ],\n            [\n              -112.7197265625,\n              48.06339653776211\n            ],\n            [\n              -112.6318359375,\n              47.3834738721015\n            ],\n            [\n              -111.95068359374999,\n              47.010225655683485\n            ],\n            [\n              -110.1708984375,\n              46.965259400349275\n            ],\n            [\n              -110.32470703125,\n              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Dirac","contributorId":187431,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","email":"","affiliations":[],"preferred":false,"id":832616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wonkka, Carissa L.","contributorId":197668,"corporation":false,"usgs":false,"family":"Wonkka","given":"Carissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":832617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bielski, Christine H.","contributorId":197669,"corporation":false,"usgs":false,"family":"Bielski","given":"Christine","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":832618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":832620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drozda, Jacob","contributorId":273637,"corporation":false,"usgs":false,"family":"Drozda","given":"Jacob","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":832747,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":832621,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Julia","contributorId":273638,"corporation":false,"usgs":false,"family":"Johnson","given":"Julia","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":832748,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Powell, Larkin A.","contributorId":15100,"corporation":false,"usgs":true,"family":"Powell","given":"Larkin A.","affiliations":[],"preferred":false,"id":832623,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roberts, Caleb P. 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":197604,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","middleInitial":"P.","affiliations":[],"preferred":false,"id":832624,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70198353,"text":"70198353 - 2018 - Complex bedding geometry in the upper portion of Aeolis Mons, Gale crater, Mars","interactions":[],"lastModifiedDate":"2018-08-01T10:56:17","indexId":"70198353","displayToPublicDate":"2018-08-01T10:56:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Complex bedding geometry in the upper portion of Aeolis Mons, Gale crater, Mars","docAbstract":"<p><span>The Upper formation of Aeolis Mons in Gale crater exhibits curvilinear bedding patterns on the surfaces of several erosional benches that have been interpreted as cross-bedding. We use High Resolution Imaging Science Experiment (HiRISE) stereo topography to test this hypothesis by measuring the bedding geometry within these benches. The bedding geometry is consistent with aeolian cross-beds: measured dips rarely exceed the angle of repose, and the distribution of dip azimuths is non-random, allowing dune morphology and paleo-transport directions to be inferred using computer models of bedforms. The inferred dune type and transport direction vary between the benches of the Upper formation, indicating that the benches are separated by sufficient time for the wind regime to change. The paleo-wind directions derived from bedding geometry measurements differ from modern wind modeling results, suggesting that the conditions during deposition of the Upper formation were unlike modern conditions. The concentric bedding patterns in some locations indicate that the rate of deposition approached the rate of bedform migration. The evidence for lithified hundred-meter-scale dunes in the Upper formation of Aeolis Mons indicates that the area was a sediment sink at the time of formation, and any hypothesis for the formation of Aeolis Mons must be compatible with these results. We present one possible sequence of events for the formation of Aeolis Mons.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2018.06.009","usgsCitation":"Anderson, R.B., Edgar, L.A., Rubin, D.M., Lewis, K.W., and Newman, C., 2018, Complex bedding geometry in the upper portion of Aeolis Mons, Gale crater, Mars: Icarus, v. 314, p. 246-264, https://doi.org/10.1016/j.icarus.2018.06.009.","productDescription":"19 p.","startPage":"246","endPage":"264","ipdsId":"IP-096721","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":356079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"314","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3ede4b0f5d57878e93d","contributors":{"authors":[{"text":"Anderson, Ryan B. 0000-0003-4465-2871 rbanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-4465-2871","contributorId":170054,"corporation":false,"usgs":true,"family":"Anderson","given":"Ryan","email":"rbanderson@usgs.gov","middleInitial":"B.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":741197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":741198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, David M.","contributorId":206587,"corporation":false,"usgs":false,"family":"Rubin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":32898,"text":"U.C. Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":741199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Kevin W.","contributorId":203787,"corporation":false,"usgs":false,"family":"Lewis","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":741200,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Claire","contributorId":206588,"corporation":false,"usgs":false,"family":"Newman","given":"Claire","affiliations":[{"id":37347,"text":"Aeolis Research","active":true,"usgs":false}],"preferred":false,"id":741201,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198762,"text":"70198762 - 2018 - Evaluation of targeted and untargeted effects-based monitoring tools to assess impacts of contaminants of emerging concern on fish in the South Platte River, CO","interactions":[],"lastModifiedDate":"2018-08-20T15:52:49","indexId":"70198762","displayToPublicDate":"2018-08-01T10:55:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of targeted and untargeted effects-based monitoring tools to assess impacts of contaminants of emerging concern on fish in the South Platte River, CO","docAbstract":"<p><span>Rivers in the arid Western United States face increasing influences from anthropogenic contaminants due to population growth,&nbsp;urbanization, and drought. To better understand and more effectively track the impacts of these contaminants, biologically-based monitoring tools are increasingly being used to complement routine chemical monitoring. This study was initiated to assess the ability of both targeted and untargeted biologically-based monitoring tools to discriminate impacts of two adjacent&nbsp;wastewater treatment plants&nbsp;(WWTPs) on Colorado's South Platte River. A cell-based&nbsp;estrogen&nbsp;assay (</span><i>in&nbsp;vitro</i><span>, targeted) determined that water samples collected downstream of the larger of the two WWTPs displayed considerable estrogenic activity in its two separate&nbsp;effluent&nbsp;streams. Hepatic vitellogenin mRNA expression (</span><i>in&nbsp;vivo</i><span>, targeted) and NMR-based metabolomic analyses (</span><i>in&nbsp;vivo</i><span>, untargeted) from caged male fathead minnows also suggested estrogenic activity downstream of the larger WWTP, but detected significant differences in responses from its two effluent streams. The metabolomic results suggested that these differences were associated with oxidative stress levels. Finally, partial least squares regression was used to explore linkages between the metabolomics responses and the chemical contaminants that were detected at the sites. This analysis, along with univariate statistical approaches, identified significant&nbsp;covariance&nbsp;between the biological endpoints and estrone concentrations, suggesting the importance of this contaminant and recommending increased focus on its presence in the environment. These results underscore the benefits of a combined targeted and untargeted biologically-based monitoring strategy when used alongside contaminant monitoring to more effectively assess ecological impacts of exposures to complex mixtures in surface waters.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.04.054","usgsCitation":"Ekman, D.R., Keteles, K., Beihoffer, J., Cavallin, J.E., Dahlin, K., Davis, J.M., Jastrow, A., Lazorchak, J.M., Mills, M.A., Murphy, M., Nguyen, D., Vajda, A.M., Villeneuve, D.L., Winkelman, D.L., and Collette, T., 2018, Evaluation of targeted and untargeted effects-based monitoring tools to assess impacts of contaminants of emerging concern on fish in the South Platte River, CO: Environmental Pollution, v. 239, p. 706-713, https://doi.org/10.1016/j.envpol.2018.04.054.","productDescription":"8 p.","startPage":"706","endPage":"713","ipdsId":"IP-096748","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":460873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1565981","text":"Publisher Index Page"},{"id":356629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"South Platte River ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.5,\n              38\n            ],\n            [\n              -102,\n              38\n            ],\n            [\n              -102,\n              41\n            ],\n            [\n              -105.5,\n              41\n            ],\n            [\n              -105.5,\n              38\n            ]\n          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E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dahlin, Kenneth","contributorId":207182,"corporation":false,"usgs":false,"family":"Dahlin","given":"Kenneth","email":"","affiliations":[],"preferred":false,"id":743081,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, John M.","contributorId":177967,"corporation":false,"usgs":false,"family":"Davis","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743082,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jastrow, Aaron","contributorId":200067,"corporation":false,"usgs":false,"family":"Jastrow","given":"Aaron","affiliations":[],"preferred":false,"id":743083,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lazorchak, James M.","contributorId":14750,"corporation":false,"usgs":true,"family":"Lazorchak","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743084,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mills, Marc A.","contributorId":141085,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":743085,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Murphy, Mark","contributorId":207183,"corporation":false,"usgs":false,"family":"Murphy","given":"Mark","email":"","affiliations":[],"preferred":false,"id":743086,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nguyen, David","contributorId":207184,"corporation":false,"usgs":false,"family":"Nguyen","given":"David","email":"","affiliations":[],"preferred":false,"id":743087,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vajda, Alan M.","contributorId":179189,"corporation":false,"usgs":false,"family":"Vajda","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743088,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Villeneuve, Daniel L.","contributorId":32091,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":743089,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":742887,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Collette, Timothy W.","contributorId":15936,"corporation":false,"usgs":true,"family":"Collette","given":"Timothy W.","affiliations":[],"preferred":false,"id":743090,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70198352,"text":"70198352 - 2018 - Hydrothermal discharge from the El Tatio basin, Atacama, Chile","interactions":[],"lastModifiedDate":"2018-08-30T14:53:25","indexId":"70198352","displayToPublicDate":"2018-08-01T10:54:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal discharge from the El Tatio basin, Atacama, Chile","docAbstract":"<p><span>El Tatio in northern Chile is one of the best-studied geothermal fields in South America. However, there remain open questions about the mass and energy budgets, water recharge rates and residence time in the subsurface, origin of dissolved solutes, and processes affecting the phase and chemical composition of groundwater and surface water. We measured and sampled surface manifestations of the geothermal system (geysers perpetual spouters, mud pools/volcanoes, and non-eruptive hot springs) and meteoric water. From the isotopic composition we infer that the thermal water has a meteoric origin that is different from the composition of local meteoric water. The absence of detectable tritium in thermal waters indicates that most of the recharge occurred pre-1950. Boiling and steam separation from the deep reservoir appear to be the main subsurface processes affecting the thermal fluids. A large amount of heat is lost to the atmosphere by evaporation from surface water and by steam emitted from erupting geysers. Using the chloride inventory method, we estimate thermal water discharge to be 218 to 234 L/s, and the advective heat flow to be 120 to 170 MW.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.07.007","usgsCitation":"Munoz-Saez, C., Manga, M., and Hurwitz, S., 2018, Hydrothermal discharge from the El Tatio basin, Atacama, Chile: Journal of Volcanology and Geothermal Research, v. 361, p. 25-35, https://doi.org/10.1016/j.jvolgeores.2018.07.007.","productDescription":"11 p.","startPage":"25","endPage":"35","ipdsId":"IP-097644","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468544,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1479426","text":"Publisher Index Page"},{"id":356078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"El Tatio Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.035,\n              -22.3539\n            ],\n            [\n              -67.9919,\n              -22.3539\n            ],\n            [\n              -67.9919,\n              -22.3244\n            ],\n            [\n              -68.035,\n              -22.3244\n            ],\n            [\n              -68.035,\n              -22.3539\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"361","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3eee4b0f5d57878e93f","contributors":{"authors":[{"text":"Munoz-Saez, Carolina 0000-0003-3916-008X","orcid":"https://orcid.org/0000-0003-3916-008X","contributorId":206586,"corporation":false,"usgs":false,"family":"Munoz-Saez","given":"Carolina","email":"","affiliations":[{"id":37346,"text":"Universidad de Chile","active":true,"usgs":false}],"preferred":false,"id":741195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael","contributorId":199572,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[],"preferred":false,"id":741196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@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":741194,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199486,"text":"70199486 - 2018 - A new tool for studying waterfowl immune and metabolic responses: Molecular level analysis using kinome profiling","interactions":[],"lastModifiedDate":"2018-09-20T10:48:58","indexId":"70199486","displayToPublicDate":"2018-08-01T10:48:46","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A new tool for studying waterfowl immune and metabolic responses: Molecular level analysis using kinome profiling","docAbstract":"<p><span>Here, we describe the design of an&nbsp;</span><i>Anas‐</i><span>specific kinome peptide array that can be used to study the immunometabolic responses of mallard and American black duck to pathogens, contaminants, and environmental stress. The peptide arrays contain 2,642 unique phosphorylate‐able peptide sequences representing 1,900 proteins. These proteins cover a wide array of metabolic and immunological processes, and 758 Gene Ontology Biological processes are statistically significantly represented on the duck peptide array of those 164 contain the term “metabolic” and 25 “immune.” In addition, we conducted a comparison of mallard to American black duck at a genetic and proteomic level. Our results show a significant genomic and proteomic overlap between these two duck species, so that we have designed a cross‐reactive peptide array capable of studying both species. This is the first reported development of a wildlife species‐specific kinome peptide array.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4370","usgsCitation":"Pagano, G., Johnson, C., Hahn, C., and Arsenault, R.J., 2018, A new tool for studying waterfowl immune and metabolic responses: Molecular level analysis using kinome profiling: Ecology and Evolution, v. 8, no. 16, p. 8537-8546, https://doi.org/10.1002/ece3.4370.","productDescription":"10 p.","startPage":"8537","endPage":"8546","ipdsId":"IP-089573","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468545,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4370","text":"Publisher Index Page"},{"id":357541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"16","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","scienceBaseUri":"5bc02fc1e4b0fc368eb5397b","contributors":{"authors":[{"text":"Pagano, Giovanni","contributorId":208001,"corporation":false,"usgs":false,"family":"Pagano","given":"Giovanni","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":745561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Casey","contributorId":208002,"corporation":false,"usgs":false,"family":"Johnson","given":"Casey","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":745562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hahn, Caldwell 0000-0002-5242-2059 chahn@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2059","contributorId":3203,"corporation":false,"usgs":true,"family":"Hahn","given":"Caldwell","email":"chahn@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":745559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arsenault, Ryan J. 0000-0002-4534-278X","orcid":"https://orcid.org/0000-0002-4534-278X","contributorId":208000,"corporation":false,"usgs":false,"family":"Arsenault","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":745560,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202091,"text":"70202091 - 2018 - International Society for Aeolian Research Distinguished Career Award, 2018 Joseph M. Prospero, Dr. Professor Emeritus, University of Miami","interactions":[],"lastModifiedDate":"2019-02-11T11:43:49","indexId":"70202091","displayToPublicDate":"2018-08-01T10:48:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"International Society for Aeolian Research Distinguished Career Award, 2018 Joseph M. Prospero, Dr. Professor Emeritus, University of Miami","docAbstract":"<p>It is a pleasure and an honor to present Dr. Joseph M. Prospero of the University of Miami with the International Society for Aeolian Research(ISAR) Distinguished Career Award for 2018. Joe was born at home in Pottstown, Pennsylvania, one of three sons of Italian immigrant parents. He got interested in science, and particularly chemistry, not only out of curiosity, but also because of “...all the usual things. Color reactions...explosions....” Thus, his earliest experimental work was done with a Lionel Chem-Lab set in its classic chrome-yellow wooden box. Joe had parents who, despite their own lack of education,encouraged learning for Joe and his brothers through reading and education. He earned his B.S. in chemistry at Ursinus College in Collegeville, Pennsylvania in 1956. From there he went on to Princeton University for graduate school, studying radiochemistry and nuclear spectroscopy, receiving his M.A. in 1959 and his Ph.D. in 1963. On the encouragement of George Reynolds (a physicist at Princeton), Joe began his career at the Rosenstiel School of Marine and Atmospheric Science at the University of Miami in 1963. He has been studying dust everywhere on the planet–both on land and in the oceans–ever since.His research has been published in more than 170 papers and they are highly cited, showing the importance of dust in an astonishing diversity of the Earth’s natural systems, as well as its importance to human society.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/S1875-9637(18)30132-0","usgsCitation":"Muhs, D., 2018, International Society for Aeolian Research Distinguished Career Award, 2018 Joseph M. Prospero, Dr. Professor Emeritus, University of Miami: Aeolian Research, v. 33, p. iii-iv, https://doi.org/10.1016/S1875-9637(18)30132-0.","productDescription":"2 p.","startPage":"iii","endPage":"iv","ipdsId":"IP-097061","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":361122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":756841,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70198349,"text":"70198349 - 2018 - Next‐generation conservation genetics and biodiversity monitoring","interactions":[],"lastModifiedDate":"2018-08-03T16:07:49","indexId":"70198349","displayToPublicDate":"2018-08-01T10:47:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Next‐generation conservation genetics and biodiversity monitoring","docAbstract":"<p><span>This special issue of&nbsp;</span><i>Evolutionary Applications</i><span>&nbsp;consists of 10 publications investigating the use of next‐generation tools and techniques in population genetic analyses and biodiversity assessment. The special issue stems from a 2016 Next Generation Genetic Monitoring Workshop, hosted by the National Institute for Mathematical and Biological Synthesis (NIMBioS) in Tennessee, USA. The improved accessibility of next‐generation sequencing platforms has allowed molecular ecologists to rapidly produce large amounts of data. However, with the increased availability of new genomic markers and mathematical techniques, care is needed in selecting appropriate study designs, interpreting results in light of conservation concerns, and determining appropriate management actions. This special issue identifies key attributes of successful genetic data analyses in biodiversity evaluation and suggests ways to improve analyses and their application in current population and conservation genetics research.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eva.12661","usgsCitation":"Hunter, M., Hoban, S.M., Bruford, M.W., Segelbacher, G., and Bernatchez, L., 2018, Next‐generation conservation genetics and biodiversity monitoring: Evolutionary Applications, v. 11, no. 7, p. 1029-1034, https://doi.org/10.1111/eva.12661.","productDescription":"6 p.","startPage":"1029","endPage":"1034","ipdsId":"IP-096473","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12661","text":"Publisher Index Page"},{"id":356076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"7","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-17","publicationStatus":"PW","scienceBaseUri":"5b6fc3efe4b0f5d57878e941","contributors":{"authors":[{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":4888,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":741181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoban, Sean M. 0000-0002-0348-8449","orcid":"https://orcid.org/0000-0002-0348-8449","contributorId":206582,"corporation":false,"usgs":false,"family":"Hoban","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":37343,"text":"The Morton Arboretum","active":true,"usgs":false}],"preferred":false,"id":741182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruford, Michael W.","contributorId":190769,"corporation":false,"usgs":false,"family":"Bruford","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":741183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Segelbacher, Gernot","contributorId":206584,"corporation":false,"usgs":false,"family":"Segelbacher","given":"Gernot","email":"","affiliations":[{"id":37345,"text":"University of Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":741185,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bernatchez, Louis","contributorId":206583,"corporation":false,"usgs":false,"family":"Bernatchez","given":"Louis","email":"","affiliations":[{"id":37344,"text":"GIROQ","active":true,"usgs":false}],"preferred":false,"id":741184,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198760,"text":"70198760 - 2018 - Food web contaminant dynamics of a large Atlantic Slope river: Implications for common and imperiled species","interactions":[],"lastModifiedDate":"2018-08-20T10:46:54","indexId":"70198760","displayToPublicDate":"2018-08-01T10:43:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Food web contaminant dynamics of a large Atlantic Slope river: Implications for common and imperiled species","docAbstract":"Persistent and bioaccumulative contaminants often reach concentrations that threaten aquatic life by causing alterations in organism behavior and development, disruption of biological processes, reproductive abnormalities, and mortality. The objectives of this research were to determine the aquatic food web structure and trophic transfer and accumulation of contaminants within a riverine ecosystem and identify potential stressors to the health of an imperiled fish, the robust redhorse (Moxostoma robustum) and other species of conservation concern in a large Atlantic Slope (USA) river. Trophic position was determined for food web taxa by stable isotope analyses of representative producers, consumers, and organic matter of the Yadkin-Pee Dee River of North Carolina and South Carolina. Contaminant analyses were performed on water, sediment, organic matter, and aquatic biota to assess the prevalence and accumulation of polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), current use pesticides (CUPs), polycyclic aromatic hydrocarbons (PAHs), and selected metals. Contaminants were prevalent in the environment and food web components of the river. PCBs were detected in 32% of biotic samples (mean 0.24 μg/g dry weight [DW], range 0.01–3.33 μg/g DW), and DDTs (legacy OCPs and metabolites) were detected in 90% (mean 0.014 μg/g DW, range 0.0004–0.29 μg/g DW). The trace metals manganese and cadmium exceeded published threshold effect concentrations in sediment (460 and 0.99 μg/g DW, respectively). Mercury was detected in all food web samples exhibiting a mean of 0.61 μg/g DW and range 0.006–2.35 μg/g DW (mean 0.13 μg/g wet weight [WW], range 0.001–0.6 μg/g WW). Concentrations exceeded the 0.2 μg/g WW aquatic life criterion for mercury in 38% of fish samples. Fish trophic magnification factors (TMFs; range 0.33–3.75) indicated that contaminant accumulation occurred from both water and dietary sources. The combination of analytical approaches applied here provides new insight into contaminant dynamics with conservation implications.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.03.251","usgsCitation":"Kwak, T.J., Penland, T.N., Grieshaber, C.A., Cope, W.G., Heise, R.J., and Sessions, F.W., 2018, Food web contaminant dynamics of a large Atlantic Slope river: Implications for common and imperiled species: Science of the Total Environment, v. 633, p. 1062-1077, https://doi.org/10.1016/j.scitotenv.2018.03.251.","productDescription":"16 p.","startPage":"1062","endPage":"1077","ipdsId":"IP-096497","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.03.251","text":"Publisher Index Page"},{"id":356621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"633","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a295e4b0702d0e842f71","contributors":{"authors":[{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":742878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penland, Tiffany N.","contributorId":207144,"corporation":false,"usgs":false,"family":"Penland","given":"Tiffany","email":"","middleInitial":"N.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":742879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grieshaber, Casey A.","contributorId":207145,"corporation":false,"usgs":false,"family":"Grieshaber","given":"Casey","email":"","middleInitial":"A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":742880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cope, W. Gregory","contributorId":207146,"corporation":false,"usgs":false,"family":"Cope","given":"W.","email":"","middleInitial":"Gregory","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":742881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heise, Ryan J.","contributorId":145789,"corporation":false,"usgs":false,"family":"Heise","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":16149,"text":"North Carolina Wildlife Resources Commission, 1003 Consolidated Rd., Elizabeth City, NC 27909","active":true,"usgs":false}],"preferred":false,"id":742882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sessions, Forrest W.","contributorId":207147,"corporation":false,"usgs":false,"family":"Sessions","given":"Forrest","email":"","middleInitial":"W.","affiliations":[{"id":37460,"text":"South Carolina DNR","active":true,"usgs":false}],"preferred":false,"id":742883,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228742,"text":"70228742 - 2018 - Paleoclimate Records: Providing context and understanding of current Arctic change","interactions":[],"lastModifiedDate":"2022-02-18T17:15:28.160551","indexId":"70228742","displayToPublicDate":"2018-08-01T10:40:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10118,"text":"Bulletin American Meteorological Society","active":true,"publicationSubtype":{"id":10}},"title":"Paleoclimate Records: Providing context and understanding of current Arctic change","docAbstract":"At present, the Arctic Ocean is experiencing changes in ocean surface temperature and sea ice extent that are unprecedented in the era of satellite observations, which extend from the 1980s to the present (see sections 5c,d). To provide context for current changes, scientists turn to paleoclimate records to document and study anthropogenic influence and natural decadal and multidecadal climate variability in the Arctic system. Paleoceanographic records extend limited Arctic instrumental measurements back in time and are central to improving our understanding of climate dynamics and the predictive capability of climate models. By comparing paleoceanographic records with modern observations, scientists can place the rates and magnitudes of modern Arctic change in the context of those inferred from the geological record. \n\nOver geological time, paleoceanographic reconstructions using, for instance, marine sediment cores indicate that the Arctic has experienced huge sea ice fluctuations. These fluctuations range from nearly completely ice-free to totally ice-covered conditions. The appearance of ice-rafted debris and sea ice-dependent diatoms in Arctic marine sediments indicate that the first Arctic sea ice formed approxi-mately 47 million years ago (St. John 2008; Stickley et al. 2009; Fig. SB5.1), coincident with an interval of declining atmospheric carbon dioxide (CO2) concentration, global climate cooling, and expansion of Earths cryosphere during the middle Eocene. The development of year-round (i.e., perennial) sea ice in the central Arctic Ocean, similar to conditions that exist today, is evident in sediment records as early as 1418 million years ago (Darby 2008). These records suggest that transitions in sea ice cover occur over many millennia and often vary in concert with the waxing and waning of circum-Arctic land ice sheets, ice shelves, and long-term fluctuations in ocean and atmospheric temperature and atmospheric CO2 concentrations (Stein et al. 2012; Jakobsson et al. 2014). Over shorter time scales, shallow sediment records from Arctic Ocean continental shelves allow more detailed, higher-resolution (hundreds of years resolution) reconstructions of sea ice history extending through the Holocene (11 700 years ago to present), the most recent interglacial period.\nA notable feature of these records is an early Holocene sea ice minimum, corresponding to a thermal maximum (warm) period from 11 000 to 5000 years ago, when the Arctic may have been warmer and had less summertime sea ice than today (Kaufman et al. 2004). However, it is not clear that the Arctic was ice-free at any point during the Holocene (Polyak et al. 2010). High-resolution paleosea ice records from the western Arctic in the Chukchi and East Siberian Seas indicate that sea ice concentrations increased through the Holocene in concert with decreasing summer solar insolation (sunlight). Sea ice extent in this region also varied in response to the volume of Pacific water delivered via the Bering Strait into the Arctic Basin (Stein et al. 2017; Polyak et al. 2016). Records from the Fram Strait (Mller et al. 2012), Laptev Sea (Hrner et al. 2016), and Canadian Arctic Archipelago (Vare et al. 2009) also indicate a similar long-term expansion of sea ice and suggest sea ice extent in these regions is modulated by the varying influx of warm Atlantic water into the Arctic Basin (e.g., Werner et al. 2013). Taken together, available records support a circum-Arctic sea ice expansion during the late Holocene. \n\nA notably high-resolution summer sea ice history (<5-year resolution) has been established for the last 1450 years using a network of terrestrial records (tree ring , lake sediment, and ice core records) located around the margins of the Arctic Ocean (Kinnard et al. 2011). Results summarized in Fig. SB5.2 indicate a pronounced decline in summer sea ice extent beginning in the 20th century, with exceptionally low ice extent recorded since the mid-1990s, consistent with the satellite record (see section 5d). While several episodes of reduced and expanded sea ice extent occur in association with climate anomalies such as the Medieval Climate Warm Period (AD 8001300) and the Little Ice Age (AD 14501850), the magnitude and pace of the modern decline in sea ice is outside of the range of natural variability and unprecedented in the 1450-year reconstruction (Kinnard et al. 2011). A radiocarbon-dated driftwood record of the Ellesmere ice shelf in the Canadian High Arctic, the oldest landfast ice in the Northern Hemisphere, also demonstrates a substantial reduction in ice extents over the 20th century (England et al. 2017). A supporting sediment record indicates that inflowing Atlantic water in Fram Strait has warmed by 2C since 1900, driving break up and melt of sea ice (Spielhagen et al. 2011). Complementary mooring and satellite observations show the Atlantification of the eastern Arctic due to enhanced inflow of warm saline water through Fram Strait (Nilsen et al. 2016) and nutrient-rich Pacific water via the Bering has increased by more than 50% (Woodgate et al. 2012), further driving sea ice melt and warming seas. Similar high-resolution proxy records from Arctic regions also indicate that the modern rate of increasing annual surface air temperatures has not been observed over at least the last 2000 years (McKay and Kaufman 2014). Scientists conclude that broad-scale sea ice variations recorded in the paleo record were dominantly driven by changes in basin-scale changes in atmospheric circulation patterns, fluctuations in air temperature, strength of incoming solar radiation, and changes in the inflow of warm water via Pacific and Atlantic inflows (Polyak et al. 2010). \n\nThere is general consensus that ice-free Arctic summers are likely before the end of the 21st century (e.g., Stroeve et al. 2007; Massonnet et al. 2012), while some climate model projections suggest ice-free Arctic summers as early as 2030 (Wang and Overland 2009). Paleoclimate studies and observational time series attribute the decline in sea ice extent and thickness over the last decade to both enhanced greenhouse warming and natural climate variability. While understanding the interplay of these factors is critical for future projections of Arctic sea ice and ecosystems, most observational time series records cover only a few decades. This highlights the need for additional paleoceanographic reconstructions across multiple spatial and temporal domains to better understand the drivers and implications of present and future Arctic Ocean change.","language":"English","doi":"10.1175/2018BAMSStateoftheClimate.1","usgsCitation":"Osborne, E., Cronin, T.M., and Farmer, J., 2018, Paleoclimate Records: Providing context and understanding of current Arctic change: Bulletin American Meteorological Society, v. 99, no. 8, p. s150-s152, https://doi.org/10.1175/2018BAMSStateoftheClimate.1.","productDescription":"3 p.","startPage":"s150","endPage":"s152","ipdsId":"IP-098816","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":468548,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/2018bamsstateoftheclimate.1","text":"External Repository"},{"id":396176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Osborne, Emily","contributorId":279642,"corporation":false,"usgs":false,"family":"Osborne","given":"Emily","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":835253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":835254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farmer, Jesse","contributorId":279643,"corporation":false,"usgs":false,"family":"Farmer","given":"Jesse","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":835255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199073,"text":"70199073 - 2018 - Nymphoides humboldtiana (Menyanthaceae) in Florida (U.S.A.) verified by DNA data","interactions":[],"lastModifiedDate":"2018-08-31T10:32:36","indexId":"70199073","displayToPublicDate":"2018-08-01T10:32:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2535,"text":"Journal of the Botanical Research Institute of Texas","active":true,"publicationSubtype":{"id":10}},"title":"Nymphoides humboldtiana (Menyanthaceae) in Florida (U.S.A.) verified by DNA data","docAbstract":"<p>Certain Nymphoides populations in Florida, U.S.A., previously identified as the non-native N. indica (L.) Kuntze, are actually N. humboldtiana (Kunth) Kuntze, as verified using nuclear and plastid DNA data. These new records of N. humboldtiana in Florida are the only known localities in the U.S.A. outside of Uvalde County, Texas. Nymphoides humboldtiana is native to Texas, México, the Caribbean, and Central and South America. The newly identified Florida populations found near the city of Tampa in Manatee County (Ward Lake and Braden River) and Fort Walton Beach in Okaloosa County (Bass Lake) are presumed to be native. Nymphoides humboldtiana and N. indica share many superficial similarities, most notably white petals with ciliate hairs. Our findings suggest that certain morphologically-determined populations of N. indica in the U.S.A. may be incorrectly identified. Such populations might be re-examined using DNA methods to avoid any management actions against N. humboldtiana</p>","language":"English","publisher":"Botanical Research Institute of Texas","usgsCitation":"Middleton, B.A., Anemaet, E.R., Elsey Quirk, T., and Tippery, N.P., 2018, Nymphoides humboldtiana (Menyanthaceae) in Florida (U.S.A.) verified by DNA data: Journal of the Botanical Research Institute of Texas, v. 12, no. 1, p. 257-263.","productDescription":"7 p.","startPage":"257","endPage":"263","ipdsId":"IP-092397","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":356988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356969,"type":{"id":15,"text":"Index Page"},"url":"https://brit.org/journal-botanical-research-institute-texas"}],"volume":"12","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a296e4b0702d0e842f73","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":743936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anemaet, Evelyn R. 0000-0002-9743-8732 anemaete@usgs.gov","orcid":"https://orcid.org/0000-0002-9743-8732","contributorId":4882,"corporation":false,"usgs":true,"family":"Anemaet","given":"Evelyn","email":"anemaete@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":743937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elsey Quirk, Tracy","contributorId":207485,"corporation":false,"usgs":false,"family":"Elsey Quirk","given":"Tracy","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":743938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tippery, Nicholas P.","contributorId":207486,"corporation":false,"usgs":false,"family":"Tippery","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":37544,"text":"UW Whitewater","active":true,"usgs":false}],"preferred":false,"id":743939,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199099,"text":"70199099 - 2018 - Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise","interactions":[],"lastModifiedDate":"2018-09-04T10:31:27","indexId":"70199099","displayToPublicDate":"2018-08-01T10:31:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise","docAbstract":"<p><span>Sea level rise (SLR) has the potential to exacerbate the impacts of extreme storm events on the coastal landscape. This study examines the coupled interactions of SLR on storm-driven hydrodynamics and barrier island morphology. A numerical model is used to simulate the hydrodynamic and morphodynamic impacts of two Gulf of Mexico hurricanes under present-day and future sea levels. SLR increased surge heights and caused overwash to occur at more locations and for longer durations. During surge recession, water level gradients resulted in seaward sediment transport. The duration of the seaward-directed water level gradients was altered under SLR; longer durations caused more seaward-directed cross-barrier transport and a larger net loss in the subaerial island volume due to increased sand deposition in the nearshore. Determining how SLR and the method of SLR implementation (static or dynamic) modulate storm-driven morphologic change is important for understanding and managing longer-term coastal evolution.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-018-2245-8","usgsCitation":"Passeri, D., Bilskie, M.V., Plant, N.G., Long, J., and Hagen, S.C., 2018, Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise: Climatic Change, v. 149, no. 3-4, p. 413-425, https://doi.org/10.1007/s10584-018-2245-8.","productDescription":"13 p.","startPage":"413","endPage":"425","ipdsId":"IP-095725","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468549,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://link.springer.com/10.1007/s10584-018-2245-8","text":"External Repository"},{"id":357043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.35685729980469,\n              30.203300547277813\n            ],\n            [\n              -88.05816650390625,\n              30.203300547277813\n            ],\n            [\n              -88.05816650390625,\n              30.287531589298727\n            ],\n            [\n              -88.35685729980469,\n              30.287531589298727\n            ],\n            [\n              -88.35685729980469,\n              30.203300547277813\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"149","issue":"3-4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b98a296e4b0702d0e842f75","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":744075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, Joseph W. 0000-0003-2912-1992","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":202183,"corporation":false,"usgs":true,"family":"Long","given":"Joseph W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":744078,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196978,"text":"70196978 - 2018 - A case study and a meta-analysis of seasonal variation in fish mercury concentrations","interactions":[],"lastModifiedDate":"2021-02-04T15:41:43.602161","indexId":"70196978","displayToPublicDate":"2018-08-01T09:31:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"A case study and a meta-analysis of seasonal variation in fish mercury concentrations","docAbstract":"<p><span>Mercury contamination in aquatic ecosystems is a concern due to health risks of consuming fish. Fish mercury concentrations are highly variable and influenced by a range of environmental factors. However, seasonal variation in mercury levels are typically overlooked when monitoring fish mercury concentrations, establishing consumption advisories, or creating accumulation models. Temporal variation in sampling could bias mercury concentration estimates of accumulation potential. Thus, the objectives of this study were to first evaluate seasonal variation of largemouth bass (</span><i>Micropterus salmoides</i><span>) axial muscle mercury concentration from two Iowa, USA impoundments. Second, we conducted a meta-analysis to evaluate if seasonal variation in mercury concentration is dependent upon mean mercury concentration, waterbody type, or fish trophic level or mean length. Largemouth bass were collected four times between May and October (24–36 fish per month) from Twelve Mile (2013) and Red Haw (2014) lakes. Largemouth bass axial muscle mercury concentrations were variable within and between lakes, ranging from undetectable ( &lt; 0.05 mg/kg) to 0.54 mg/kg. Largemouth bass mercury concentrations were similar across months in Twelve Mile but varied temporally in Red Haw and were highest in July, intermediate in May and September, and lowest during October. Results of the meta-analysis suggest that seasonal variation in mercury concentrations is more likely to occur as mean mercury concentration of the population increases but is unrelated to waterbody type, trophic status, and fish size. Understanding seasonal variation in fish mercury concentrations will aid in the development of standardized sampling programs for long-term monitoring programs and fish consumption advisories.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10646-018-1942-4","usgsCitation":"Mills, N., Cashatt, D., Weber, M., and Pierce, C., 2018, A case study and a meta-analysis of seasonal variation in fish mercury concentrations: Ecotoxicology, v. 27, p. 641-649, https://doi.org/10.1007/s10646-018-1942-4.","productDescription":"9 p.","startPage":"641","endPage":"649","ipdsId":"IP-088547","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487219,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/277","text":"External Repository"},{"id":382950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Red Haw Lake, Twelve Mile Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.85784530639647,\n              43.28295400639641\n            ],\n            [\n              -94.844970703125,\n              43.28295400639641\n            ],\n            [\n              -94.844970703125,\n              43.29329402211397\n            ],\n            [\n              -94.85784530639647,\n              43.29329402211397\n            ],\n            [\n              -94.85784530639647,\n              43.28295400639641\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.2830238342285,\n              40.98969788697535\n            ],\n            [\n              -93.26444149017334,\n              40.98969788697535\n            ],\n            [\n              -93.26444149017334,\n              41.00244356919737\n            ],\n            [\n              -93.2830238342285,\n              41.00244356919737\n            ],\n            [\n              -93.2830238342285,\n              40.98969788697535\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Mills, Nathan","contributorId":248785,"corporation":false,"usgs":false,"family":"Mills","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":809831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashatt, Darcy","contributorId":248786,"corporation":false,"usgs":false,"family":"Cashatt","given":"Darcy","email":"","affiliations":[],"preferred":false,"id":809832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Michael","contributorId":213318,"corporation":false,"usgs":false,"family":"Weber","given":"Michael","affiliations":[],"preferred":false,"id":809833,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735166,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203197,"text":"70203197 - 2018 - Evaluating and managing environmental water regimes in a water-scarce and uncertain future","interactions":[],"lastModifiedDate":"2019-04-29T09:29:43","indexId":"70203197","displayToPublicDate":"2018-08-01T09:29:18","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating and managing environmental water regimes in a water-scarce and uncertain future","docAbstract":"<ol class=\"\"><li>While the number of environmental flows and water science programmes continues to grow across the globe, there remains a critical need to better balance water availability in support of human and ecological needs and to recognise the environment as a legitimate user of water. In water‐stressed areas, this recognition has resulted in friction between water users in the public and private sectors. An opportunity exists for practitioners to be on the forefront of the science determining best practices for supporting environmental water regimes.</li><li>This Special Issue brings together a collection of environmental flows science and water management papers organised around three major themes: (1) method development and testing; (2) application case studies; and (3) efficacy evaluation. Contents of this Special Issue are intended to foster collaboration and broaden transferability of the information, technical tools, models and methods needed to support environmental water management programmes.</li><li>The technical sophistication of methods and modelling tools, while important to the advancement of environmental water science, may come at the expense of easily interpretable outcomes that positively influence management decisions. Researchers need to be more proactive in translating the results of advanced modelling methodologies into user‐friendly tools and methods. This will allow stakeholders and water managers to proactively test alternative water allocation scenarios to help address growing human water demands in the face of droughts and changes in climatic patterns.</li><li>The application of environmental flows science and water management strategies cannot be done in isolation. Implementation involves a complex decision‐making process that integrates ecological, hydrologic and social science across diverse multifaceted governance systems and requires active stakeholder involvement. Scientists and managers must strengthen partnerships at multiple scales to develop sensible science investment strategies so that collective knowledge can be translated into wise environmental water management decisions.</li></ol>","language":"English","doi":"10.1111/fwb.13104","usgsCitation":"Kennen, J., Eric D. Stein, and J. Angus Webb, 2018, Evaluating and managing environmental water regimes in a water-scarce and uncertain future: Freshwater Biology, v. 63, no. 8, p. 733-737, https://doi.org/10.1111/fwb.13104.","productDescription":"5 p.","startPage":"733","endPage":"737","ipdsId":"IP-091887","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":490055,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11343/284321","text":"External Repository"},{"id":363290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kennen, Jonathan 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":215088,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eric D. Stein","contributorId":215089,"corporation":false,"usgs":false,"family":"Eric D. Stein","affiliations":[{"id":39174,"text":"Southern California Coastal Water Research Project, 3535 Harbor Blvd., Suite 110, Costa Mesa, CA  92626-1437, United States","active":true,"usgs":false}],"preferred":false,"id":761599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"J. Angus Webb","contributorId":215090,"corporation":false,"usgs":false,"family":"J. Angus Webb","affiliations":[{"id":39175,"text":"The University of Melbourne, Department of Infrastructure Engineering, Parkville 3010, Australia","active":true,"usgs":false}],"preferred":false,"id":761600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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