To improve understanding of spatial, seasonal, and inter-annual variations in nitrate sources and in-stream processes in the Illinois River system, nitrate concentrations and isotopic compositions were measured in 445 water samples collected over a four-year period (2004–2008) from the Upper Illinois River Basin (UIRB). Samples included surface water in the river and major tributaries, effluent samples from Chicago’s largest wastewater treatment plant (WTP), and representative groundwater from shallow wells in agricultural land. Two principal nitrate endmember sources within the UIRB had distinctive isotopic compositions: WTP effluent with δ15N = 8.6 ± 1.7‰ and δ18O = 0.8 ± 1.4‰ and agricultural groundwater with δ15N-NO3 = 3.4 ± 0.6‰ and δ18O = 3.7 ± 0.5‰ (when minimally affected by nitrate reduction). Isotopic data indicated that the large pulse of nitrate exported from the river basin during the spring was mostly derived from agricultural land drainage, while nitrate from large WTP effluent point sources was predominant in the upper reaches of the river near Chicago. During low base-flow conditions in late-summer and fall, the agricultural nitrate source was greatly diminished and the headwater WTP source was predominant in the river basin export. Our results indicated biogeochemical nitrate reduction and isotopic fractionation occurred within the river network, affecting both agricultural and urban sources during surface-water transport. In addition, diminished agricultural nitrate export was attributable to preferential discharge of biogeochemically reduced groundwater during low base flow. Isotopic indicators of spatial and seasonal variations in the relative importance of different nitrate sources, and their relative susceptibility to natural attenuation, might be useful for guiding monitoring and management practices to reduce nitrate export from complex watersheds with mixed land uses.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.11.043","usgsCitation":"Lin, J., Bohlke, J., Huang, S., Gonzalez-Meler, M., and Sturchio, N.C., 2019, Seasonality of nitrate sources and isotopic composition in the Upper Illinois River: Journal of Hydrology, v. 568, p. 849-861, https://doi.org/10.1016/j.jhydrol.2018.11.043.","productDescription":"13 p.","startPage":"849","endPage":"861","ipdsId":"IP-100439","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468035,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2018.11.043","text":"Publisher Index Page"},{"id":437613,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93WD0TH","text":"USGS data release","linkHelpText":"Chemical and isotopic data for a study of seasonality of nitrate sources and isotopic composition in the Upper Illinois River, 2004-2008"},{"id":360057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Illinois River","volume":"568","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0b957ae4b0c53ecb2aca7c","contributors":{"authors":[{"text":"Lin, Jiajia","contributorId":211160,"corporation":false,"usgs":false,"family":"Lin","given":"Jiajia","email":"","affiliations":[{"id":38185,"text":"USEPA, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":753315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":753314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Sheng","contributorId":211161,"corporation":false,"usgs":false,"family":"Huang","given":"Sheng","email":"","affiliations":[{"id":38186,"text":"Washington DC Dept. of Energy and Environment","active":true,"usgs":false}],"preferred":false,"id":753316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gonzalez-Meler, Miquel","contributorId":211162,"corporation":false,"usgs":false,"family":"Gonzalez-Meler","given":"Miquel","email":"","affiliations":[{"id":18137,"text":"University of Illinois at Chicago","active":true,"usgs":false}],"preferred":false,"id":753317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":753318,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70215996,"text":"70215996 - 2019 - When ignimbrite meets water: Megascale gas-escape structures formed during welding","interactions":[],"lastModifiedDate":"2020-11-02T15:24:55.004234","indexId":"70215996","displayToPublicDate":"2018-12-07T09:18:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"When ignimbrite meets water: Megascale gas-escape structures formed during welding","docAbstract":"Diverse welding, crystallization, and structural features develop when a hot ignimbrite encounters external water, depending largely on volatile-rock ratios. Such processes are spectacularly documented by a regional ignimbrite, where ponded within an older caldera in the San Juan Mountains, Colorado. Interaction of hot pyroclastic flows with moist underlying sediments or standing water in a stream valley or shallow-lakeshore environment produced mega-scale gas-escape structures, quenched adjacent tuff, inhibited welding, and generated nonplanar crystallization zones. This site provides a context for reviewing examples of ignimbrite-water interaction elsewhere.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G45772.1","usgsCitation":"Lipman, P.W., 2019, When ignimbrite meets water: Megascale gas-escape structures formed during welding: Geology, v. 47, no. 1, p. 63-66, https://doi.org/10.1130/G45772.1.","productDescription":"4 p.","startPage":"63","endPage":"66","ipdsId":"IP-103031","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":380027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Juan Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.072265625,\n 36.94989178681327\n ],\n [\n -104.853515625,\n 36.94989178681327\n ],\n [\n -104.853515625,\n 38.30718056188316\n ],\n [\n -109.072265625,\n 38.30718056188316\n ],\n [\n -109.072265625,\n 36.94989178681327\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Lipman, Peter W. 0000-0001-9175-6118","orcid":"https://orcid.org/0000-0001-9175-6118","contributorId":203612,"corporation":false,"usgs":true,"family":"Lipman","given":"Peter","email":"","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":803725,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70201539,"text":"70201539 - 2019 - Pulsed salmonfly emergence and its potential contribution to terrestrial detrital pools","interactions":[],"lastModifiedDate":"2019-01-28T08:29:07","indexId":"70201539","displayToPublicDate":"2018-12-06T13:08:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5453,"text":"Food Webs","active":true,"publicationSubtype":{"id":10}},"title":"Pulsed salmonfly emergence and its potential contribution to terrestrial detrital pools","docAbstract":"Adult aquatic insects are a globally important subsidy in terrestrial food webs. However, our understanding of their importance is largely limited to studies that measure predation of live insects by terrestrial predators. Yet the flux of adult aquatic insects to terrestrial detrital pools may also be an important subsidy pathway, particularly in cases where insect production exceeds the consumption capacity of predators. We used empirical measures of giant salmonfly (Pteronarcys californica) emergence from 37 sites to model potential detrital deposition in nearshore riparian soil food webs. Typically, giant salmonflies emerge en masse for one week each year, and can be locally superabundant. Median detrital deposition by salmonflies ranged between 0.4 and 0.7 gC, 0.04 to 0.09 gN, and 0.002 to 0.005 gP/m2/yr, depending on whether 25% or 100% of available salmonflies entered detrital pools. For a small number of sites with large salmonfly populations, deposition equaled or exceeded annual secondary production of terrestrial insects, annual atmospheric N deposition, and annual atmospheric P deposition. The fact that these values rival yearly nutrient budgets is particularly striking because giant salmonfly deposition represents a subsidy from a single species emerging over a single week. The consequences of this deposition in terrestrial food webs are largely unknown, but it is likely that salmonflies can have important effects on nearshore soil nutrient budgets similar in magnitude to those of other important ecosystem processes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fooweb.2018.e00105","usgsCitation":"Wesner, J., Walters, D., and Zuellig, R.E., 2019, Pulsed salmonfly emergence and its potential contribution to terrestrial detrital pools: Food Webs, v. 18, p. 1-7, https://doi.org/10.1016/j.fooweb.2018.e00105.","productDescription":"e00105; 7 p.","startPage":"1","endPage":"7","ipdsId":"IP-099294","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.fooweb.2018.e00105","text":"Publisher Index Page"},{"id":360371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c18c425e4b006c4f856acda","contributors":{"authors":[{"text":"Wesner, Jeff","contributorId":211583,"corporation":false,"usgs":false,"family":"Wesner","given":"Jeff","affiliations":[{"id":16684,"text":"University of South Dakota","active":true,"usgs":false}],"preferred":false,"id":754419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":754418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754420,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201205,"text":"70201205 - 2019 - Impacts of nonnative Brown Trout on Yellowstone Cutthroat Trout in a tributary stream","interactions":[],"lastModifiedDate":"2019-02-21T14:47:54","indexId":"70201205","displayToPublicDate":"2018-12-06T11:04:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of nonnative Brown Trout on Yellowstone Cutthroat Trout in a tributary stream","docAbstract":"Nonnative trout are a considerable threat to native salmonids, yet our understanding of the mechanisms behind interspecific interactions remains limited. We evaluated the impacts of nonnative Brown Trout Salmo salar on a population of Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri in Montana. We contrasted diets, growth, and survival of Yellowstone Cutthroat Trout occurring in allopatry (i.e., where no Brown Trout were present) with individuals sympatric (i.e., co‐occurring) with nonnative Brown Trout. We assessed summer and autumn diets using gastric lavage methods and survival and growth using mark–recapture analyses. Overlap in diets at sites where Yellowstone Cutthroat Trout were sympatric with Brown Trout was high during July (Horn's index: H = 0.94) and October (H = 0.83). In the presence of Brown Trout, Yellowstone Cutthroat Trout growth rates were significantly lower for juvenile (<175 mm) length and adult (≥175 mm) length and mass than in allopatric sites. Allopatric Yellowstone Cutthroat Trout survival was greater across size‐classes; the most pronounced difference was in the age‐2 size‐class (125–175 mm). Together, these results in concert with observed changes in length‐frequency data, indicating a considerable lack of Yellowstone Cutthroat Trout recruitment where they are sympatric with Brown Trout, suggest the negative implications of Brown Trout are notable.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10244","usgsCitation":"Al-Chokhachy, R.K., and Sepulveda, A.J., 2019, Impacts of nonnative Brown Trout on Yellowstone Cutthroat Trout in a tributary stream: North American Journal of Fisheries Management, v. 39, no. 1, p. 17-28, https://doi.org/10.1002/nafm.10244.","productDescription":"12 p.","startPage":"17","endPage":"28","ipdsId":"IP-091263","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":359979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Duck Creek","volume":"39","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-27","publicationStatus":"PW","scienceBaseUri":"5c0a4356e4b0815414d28128","contributors":{"authors":[{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":753215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":753216,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201209,"text":"70201209 - 2019 - Mixed-chemical exposure and predicted effects potential in wadeable southeastern USA streams","interactions":[],"lastModifiedDate":"2018-12-06T10:46:43","indexId":"70201209","displayToPublicDate":"2018-12-06T10:46:35","publicationYear":"2019","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":"Mixed-chemical exposure and predicted effects potential in wadeable southeastern USA streams","docAbstract":"Complex chemical mixtures have been widely reported in larger streams but relatively little work has been done to characterize them and assess their potential effects in headwaterstreams. In 2014, the United States Geological Survey (USGS) sampled 54 Piedmont streams over ten weeks and measured 475 unique organic compounds using five analytical methods. Maximum and median exposure conditions were evaluated in relation to watershed characteristics and for potential biological effects using multiple lines of evidence. Results demonstrate that mixed-contaminant exposures are ubiquitous and varied in sampled headwater streams. Approximately 56% (264) of the 475 compounds were detected at least once across all sites. Cumulative maximum concentrations ranged 1,922–162,346 ng L−1 per site. Chemical occurrence significantly correlated to urban land use but was not related to presence/absence of wastewater treatment facility discharges. Designed bioactive chemicals represent about 2/3rd of chemicals detected, notably pharmaceuticals and pesticides, qualitative evidence for possible adverse biological effects. Comparative Toxicogenomics Database chemical-gene associations applied to maximum exposure conditions indicate >12,000 and 2,900 potential gene targets were predicted at least once across all sites for fish and invertebrates, respectively. Analysis of cumulative exposure-activity ratios provided additional evidence that, at a minimum, transient exposures with high probability of molecular effects to vertebrates were common. Finally, cumulative detections and concentrations correlated inversely with invertebrate metrics from in-stream surveys. The results demonstrate widespread instream exposure to extensive contaminant mixtures and compelling multiple lines of evidence for adverse effects on aquatic communities.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.186","usgsCitation":"Bradley, P.M., Journey, C.A., Berninger, J.P., Button, D.T., Clark, J.M., Corsi, S., DeCicco, L.A., Hopkins, K.G., Huffman, B.J., Nakagaki, N., Norman, J.E., Nowell, L.H., Qi, S.L., Van Metre, P.C., and Waite, I.R., 2019, Mixed-chemical exposure and predicted effects potential in wadeable southeastern USA streams: Science of the Total Environment, v. 655, p. 70-83, https://doi.org/10.1016/j.scitotenv.2018.11.186.","productDescription":"14 p.","startPage":"70","endPage":"83","ipdsId":"IP-096193","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":468037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.11.186","text":"Publisher Index 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Predictions correspond to any pixel on the channel network consistent with the medium resolution National Hydrography Dataset channel network stream grid. Total annual precipitation and percent forest cover were consistently the most important predictor variables among global and most subregional models, which had error rates between 17 and 22%. Probabilities were converted to wet and dry streamflow permanence classes with an associated confidence. Wet and dry classifications were used to derive descriptors that characterize the statistical and spatial distribution of streamflow permanence in three focal basins. Predicted dry channel segments account for 52 to 92% of the stream network across the three focal basins; streamflow permanence decreased during climatically drier years. Predictions are publicly available through the USGS StreamStats platform. Results demonstrate the utility of the PROSPER model as a tool for identifying areas that may be resilient or sensitive to drought conditions, allowing for management efforts that target protecting critical reaches. 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project","interactions":[],"lastModifiedDate":"2021-01-04T17:26:40.313299","indexId":"70217078","displayToPublicDate":"2018-12-05T11:07:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The Albuquerque Seismological Lab WWSSN film chip preservation project","docAbstract":"From 1961 to 1996, the Albuquerque Seismological Laboratory (ASL) installed and operated the World‐Wide Standardized Seismograph Network (WWSSN). Each station within the network consisted of three Benioff short‐period sensors and three Sprengnether Press‐Ewing long‐period sensors along with recording, timing, and calibration equipment. Approximately 3.7 million single‐day record film chips were created from station records (paper seismograms) covering the period from 1962 to 1978. Two almost complete copies of these film chips are still known to exist at the ASL and at the Lamont–Doherty Earth Observatory (LDEO) as well as a couple of partial sets in other locations. To better preserve the data on these film chips, a project to scan the film chips and to make these scans available through the Incorporated Research Institutions for Seismology (IRIS) was started by W. H. K. Lee. The initial focus was on scanning film chips from a collection of specific earthquakes and nuclear events as well as complete scans of a number of reference stations. However, additional scans containing seismograms useful for climate studies were also completed. As part of this report, we cataloged all of the scanned WWSSN film chips with the hope that it serves as useful documentation as to what film chips have been scanned and of the location of the scans themselves at the IRIS‐Data Management Center (DMC) archive page (see Data and Resources).
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180275","usgsCitation":"Alejandro, A.C., Hutt, C.R., Ringler, A.T., Moore, S.V., Anthony, R.E., and Wilson, D.C., 2019, The Albuquerque Seismological Lab WWSSN film chip preservation project: Seismological Research Letters, v. 90, no. 1, p. 401-408, https://doi.org/10.1785/0220180275.","productDescription":"8 p.","startPage":"401","endPage":"408","ipdsId":"IP-103010","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":381853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Alejandro, Alexis Casondra Bianca 0000-0002-3401-9303","orcid":"https://orcid.org/0000-0002-3401-9303","contributorId":246023,"corporation":false,"usgs":true,"family":"Alejandro","given":"Alexis","email":"","middleInitial":"Casondra Bianca","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Sabrina Veronica 0000-0003-3059-8261","orcid":"https://orcid.org/0000-0003-3059-8261","contributorId":246022,"corporation":false,"usgs":true,"family":"Moore","given":"Sabrina","email":"","middleInitial":"Veronica","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807525,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807526,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201190,"text":"70201190 - 2019 - Water-quality trends in US rivers: Exploring effects from streamflow trends and changes in watershed management","interactions":[],"lastModifiedDate":"2018-12-05T10:49:25","indexId":"70201190","displayToPublicDate":"2018-12-05T10:49:21","publicationYear":"2019","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":"Water-quality trends in US rivers: Exploring effects from streamflow trends and changes in watershed management","docAbstract":"We present a conceptual model that explores the relationship of streamflow trends to 15 water-quality parameters at 370 sites across the contiguous United States (US). Our analytical framework uses discrete water-quality data, daily streamflow records, and a statistical model to estimate water-quality trends between 1982 and 2012 and parse these trends into the amount of change attributed to trends in streamflow versus changes in watershed management, such as changes in point or non-point sources related to pollution control efforts. We conceptualize a water-quality trend as an additive function of these two trend components. We found that for most of these records the water-quality trends were more strongly affected by changes in watershed management as opposed to trends in streamflow. However, the importance of these trend components on water quality varied by estimate type (i.e. concentration versus load trends), parameter, and site. Trends in load were more influenced by changes in the streamflow regime than trends in concentration. Trends in major ions, salinity, and sediment were more sensitive to changes in streamflow than nutrients. When results were aggregated by site, 25% of the sites had at least 1 parameter where streamflow trends attributed >7.5% to the water-quality trend for concentrations. For loads, this was the case for 66% of the sites. The findings of this work have important implications for the analysis of water-quality trends. Understanding the relative role of streamflow and management changes can help to isolate the effects of pollution control efforts on water quality and provide clearer understanding of progress, or lack thereof, towards water-quality goals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.255","usgsCitation":"Murphy, J.C., and Sprague, L.A., 2019, Water-quality trends in US rivers: Exploring effects from streamflow trends and changes in watershed management: Science of the Total Environment, v. 656, p. 645-658, https://doi.org/10.1016/j.scitotenv.2018.11.255.","productDescription":"14 p.","startPage":"645","endPage":"658","ipdsId":"IP-101146","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":468039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.11.255","text":"Publisher Index Page"},{"id":359958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"656","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c08f1c4e4b0815414d0bbf9","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":167405,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":753131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":753132,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226716,"text":"70226716 - 2019 - Geographic attribution of soils using probabilistic modeling of GIS data for forensic search efforts","interactions":[],"lastModifiedDate":"2021-12-07T13:10:00.198493","indexId":"70226716","displayToPublicDate":"2018-12-05T07:07:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Geographic attribution of soils using probabilistic modeling of GIS data for forensic search efforts","docAbstract":"Examinations of soil traces associated with forensic evidence can be used to narrow potential source area(s) by characterizing features of the trace soil assemblage, some of which are limited to specific regions. Soil characteristics may be used to infer the likelihoods of the soil trace being derived from distinct areas within digital maps, including both maps of discrete classes such as formations on geologic maps and land cover, and continuous geospatial data, such as distance from a point source. Seldom do digital maps precisely represent the observable characteristics in a soil trace. Nevertheless, logical assigned likelihoods based on the correspondence between the mapped characteristics and the observed soil particulate assemblage permit creation of a model of the more probable sources of the soil trace. This approach is applied to a 2003 case in which forensic soil samples derived from digging tools were characterized for investigative leads and to narrow the search area of a clandestine grave. This grave site was located in 2005. The suspect traveled approximately 5,000 km before arrest, so narrowing the prioritized search area for law enforcement would be beneficial. Soil examination and case circumstances were used to assign relative likelihoods within digital maps (GIS or Geographic Information Systems data) of geology, soil mineralogy, plant distributions, power plant locations, and proximity to the known travel path. The product of these individual probability maps generates joint probability models to narrow the recommended search area. The digital model output can be easily overlaid on infrastructure maps to aid law enforcement searches.
Using empirical location data from individuals to model habitat quality and species distributions is valuable towards understanding habitat use of wildlife, especially for conservation and management planning. Incorporating measures of reproductive success or survival into these models helps address the role of vital rates (a surrogate of fitness) in affecting a species’ distribution. We used 24-year datasets of Arctic peregrine falcon (Falco peregrinus tundrius) nest-site locations and productivity from the Colville River Special Area, Alaska, USA to model suitability of breeding habitat and the relative quality of used and potential nest sites. We used zero-inflated negative binomial regression models and covariates describing nest-site productivity, area of surrounding prey habitat, geology, topography, and land-cover type to model and predict intensity of Arctic peregrine falcon nest-site use along the Colville River, and developed a predictive map of intensity of nest-site use. Regions of higher predicted intensity of use were characterized by steeper slopes, greater area of prey habitat, and higher average productivity, which are likely attributed to minimizing predation risk, gaining advantages for hunting, having sufficient prey resources, site quality, and overall fitness. Including productivity in intensity of nest-site use models improved the models, supporting our supposition that adding a fitness parameter enhanced the predictive capability of the species distribution model. Areas predicted to have higher intensity of use by our model can be used to focus efforts of continued protection of areas with frequently occupied and productive nest sites, and conversely, identify areas where protection of nest sites is likely to have few conservation benefits.
","language":"English","publisher":"BioOne","doi":"10.2981/wlb.00475","usgsCitation":"Andersen, D.E., Bruggeman, J.E., Swem, T., Kennedy, P.L., and Debora Nigro, 2019, Incorporating productivity as a measure of fitness into models of breeding area quality of Arctic peregrine falcons: Wildlife Biology, 00475, 12 p., https://doi.org/10.2981/wlb.00475.","productDescription":"00475, 12 p.","ipdsId":"IP-084116","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00475","text":"Publisher Index Page"},{"id":365941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Colville River Special Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -158.0,67.0 ], [ -158.0,71.5 ], [ -141.57,71.5 ], [ -141.57,67.0 ], [ -158.0,67.0 ] ] ] } } ] }","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":767010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruggeman, Jason E.","contributorId":217529,"corporation":false,"usgs":false,"family":"Bruggeman","given":"Jason","email":"","middleInitial":"E.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":767011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swem, Ted","contributorId":217530,"corporation":false,"usgs":false,"family":"Swem","given":"Ted","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":767012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Patricia L.","contributorId":217531,"corporation":false,"usgs":false,"family":"Kennedy","given":"Patricia","email":"","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":767013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Debora Nigro","contributorId":217532,"corporation":false,"usgs":false,"family":"Debora Nigro","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":767014,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201172,"text":"70201172 - 2019 - Cyanobacteria reduce motility of quagga mussel (Driessena rostriformis bugensis) sperm","interactions":[],"lastModifiedDate":"2019-02-11T14:50:34","indexId":"70201172","displayToPublicDate":"2018-12-04T10:21:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cyanobacteria reduce motility of quagga mussel (Driessena rostriformis bugensis) sperm","title":"Cyanobacteria reduce motility of quagga mussel (Driessena rostriformis bugensis) sperm","docAbstract":"The temporal expansion of harmful algal blooms, primarily associated with cyanobacteria, may impact aquatic organisms at vulnerable life history stages. Broadcast spawning species release gametes into the water column for external fertilization, directly exposing sperm to potential aquatic stressors. To determine if cyanobacteria can disrupt reproduction in freshwater broadcast spawners, we evaluated sub‐lethal effects of cyanobacteria exposure on quagga mussel (Dreissena rostriformis bugensis) sperm. In laboratory studies, sperm were collected after inducing mussels to spawn using serotonin and exposed to 11 cultures of cyanobacteria including Anabaena flos‐aquae, Aphanizomenon flos‐aquae, Dolichospermum lemmermanii, Gloeotrichia echinulata, five cultures of Microcystis aeruginosa, M. wesenbergii, and Planktothrix suspensa. Sperm motility, using endpoints of cumulative distance traveled and mean velocity was calculated for a minimum of 10 individual sperm using a novel optical biotracking assay method. The distance and velocity at which sperm travelled decreased when exposed to Aphanizomenon flos‐aquae and two M. aeruginosa cultures. Our findings indicate that cyanobacteria impede the motility of quagga mussel sperm, which can potentially result in reproductive impairments to mussels, and potentially other broadcast spawning species.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4305","usgsCitation":"Boegehold, A.G., Alame, K., Johnson, N., and Kashian, D.R., 2019, Cyanobacteria reduce motility of quagga mussel (Driessena rostriformis bugensis) sperm: Environmental Toxicology and Chemistry, v. 38, no. 2, p. 368-374, https://doi.org/10.1002/etc.4305.","productDescription":"7 p.","startPage":"368","endPage":"374","ipdsId":"IP-102327","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":359906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-26","publicationStatus":"PW","scienceBaseUri":"5c07a062e4b0815414cee77b","contributors":{"authors":[{"text":"Boegehold, Anna G.","contributorId":205600,"corporation":false,"usgs":false,"family":"Boegehold","given":"Anna","email":"","middleInitial":"G.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":753043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alame, Karim","contributorId":211033,"corporation":false,"usgs":false,"family":"Alame","given":"Karim","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":753044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":753042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kashian, Donna R.","contributorId":205602,"corporation":false,"usgs":false,"family":"Kashian","given":"Donna","email":"","middleInitial":"R.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":753045,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201156,"text":"70201156 - 2019 - The ~1.85 Ga carbonatite in north China and its implications on the evolution of the Columbia supercontinent","interactions":[],"lastModifiedDate":"2018-12-03T15:47:01","indexId":"70201156","displayToPublicDate":"2018-12-03T15:46:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1848,"text":"Gondwana Research","active":true,"publicationSubtype":{"id":10}},"title":"The ~1.85 Ga carbonatite in north China and its implications on the evolution of the Columbia supercontinent","docAbstract":"Mantle-derived carbonatites provide a unique window in the understanding of mantle characteristics and dynamics, as well as insight into the assembly and breakup of supercontinents. As a petrological indicator of extensional tectonic regimes, Archean/Proterozoic carbonatites provide important constraints on the timing of the breakup of ancient supercontinents. The majority of the carbonatites reported worldwide are Phanerozoic, in part because of the difficulty in recognizing Archean/Proterozoic carbonatites, which are characterized by strong foliation and recrystallization, and share broad petrologic similarities with metamorphosed sedimentary lithologies. Here, we report the recognition of a ~1.85 Ga carbonatite in Chaihulanzi area of Chifeng in north China based on systematic geological, petrological, geochemical, and baddeleyite U-Pb geochronological results. The carbonatite occurs as dikes or sills emplaced in Archean metasedimentary rocks and underwent intense deformation. Petrological and SEM/EDS results show that calcite and dolomite are the dominant carbonate minerals long with minor and varied amounts of Mg-rich mafic minerals, including forsterite (with Fo N 98), phlogopite, diopside, and an accessory amount of apatite, baddeleyite, spinel, monazite, and ilmenite. The relatively high silica content together with the non-arc and OIB-like trace element signatures of the carbonatite indicates a hot mantle plume as the likely magma source. The depleted Nd isotopic signatures suggest that plume upwelling might be triggered by the accumulation of recycled crust in the deep mantle. As a part of the global-scale Columbia supercontinent, the Proterozoic tectonic evolution of the North China Craton (NCC) provides important insights into the geodynamics governing amalgamation and fragmentation of the supercontinent. The Paleo-Mesoproterozoic boundary is the key point of tectonic transition from compressional to extensional settings in the NCC. The newly identified ~1.85 Ga carbonatite provides a direct link between the long-lasting super continental breakup and plume activity, which might be sourced from the “slab graveyard,” continental crustal slabs subducted into asthenosphere, beneath the supercontinent. The carbonatite provides a precise constraint of the initiation of the continental breakup at ~1.85 Ga.","language":"English","publisher":"International Association for Gondwana Research.","doi":"10.1016/j.gr.2018.10.001","usgsCitation":"Xie, Y., Qu, Y., Zhong, R., Verplanck, P.L., Meffre, S., and Xu, D., 2019, The ~1.85 Ga carbonatite in north China and its implications on the evolution of the Columbia supercontinent: Gondwana Research, v. 65, p. 125-141, https://doi.org/10.1016/j.gr.2018.10.001.","productDescription":"17 p.","startPage":"125","endPage":"141","ipdsId":"IP-090712","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":502519,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/The_1_85_Ga_carbonatite_in_north_China_and_its_implications_on_the_evolution_of_the_Columbia_supercontinent/22974062","text":"External Repository"},{"id":359876,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c064edde4b0815414cecafe","contributors":{"authors":[{"text":"Xie, Yuling","contributorId":211011,"corporation":false,"usgs":false,"family":"Xie","given":"Yuling","affiliations":[{"id":33977,"text":"University of Science and Technology Beijing","active":true,"usgs":false}],"preferred":false,"id":752982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qu, Yunwei","contributorId":211012,"corporation":false,"usgs":false,"family":"Qu","given":"Yunwei","email":"","affiliations":[{"id":33977,"text":"University of Science and Technology Beijing","active":true,"usgs":false}],"preferred":false,"id":752983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhong, Richen","contributorId":211013,"corporation":false,"usgs":false,"family":"Zhong","given":"Richen","affiliations":[{"id":33977,"text":"University of Science and Technology Beijing","active":true,"usgs":false}],"preferred":false,"id":752984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":752981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meffre, Sebastien","contributorId":211014,"corporation":false,"usgs":false,"family":"Meffre","given":"Sebastien","email":"","affiliations":[{"id":38170,"text":"Centre of Excellence in Ore Deposits, University of Tasmania","active":true,"usgs":false}],"preferred":false,"id":752985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, Daoxue","contributorId":211019,"corporation":false,"usgs":false,"family":"Xu","given":"Daoxue","email":"","affiliations":[],"preferred":false,"id":752999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201148,"text":"70201148 - 2019 - Linkages between hydrology and seasonal variations of nutrients and periphyton in a large oligotrophic subalpine lake","interactions":[],"lastModifiedDate":"2018-12-03T10:28:53","indexId":"70201148","displayToPublicDate":"2018-12-03T10:28:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Linkages between hydrology and seasonal variations of nutrients and periphyton in a large oligotrophic subalpine lake","docAbstract":"Periphyton is important to lake ecosystems, contributing to primary production, nutrient cycling, and benthic metabolism. Increases in periphyton growth in lakes can be indicative of changes in water quality, shifts in ecosystem structure, and increases in nutrient fluxes. In oligotrophic lakes, conservationists are interested in characterizing the influence of hydrological drivers on excessive periphyton growth along nearshore areas. We collected nutrient samples bi-weekly from groundwater and surface water during a 9-month monitoring period to evaluate the timing and availability of nutrients to eulittoral periphyton in Lake Tahoe. Groundwater discharge rates were measured synoptically using seepage meters and estimated indirectly using continuous head gradient measurements and aquifer properties estimated by slug tests. The discharge measurements made from the seepage meter measurements provide information about the spatial variability perpendicular from shore along and the change in groundwater discharge due to wave action. Algal biomass sampled from substrates and observed using underwater photographs were used to correlate seasonal growth and nutrient concentrations in groundwater and lake water. Results indicate that groundwater and nutrient discharge are temporally variable due to seasonal changes in recharge within the watershed, wave action, and lake stage. Groundwater discharge was enhanced by the seasonally-low lake stage and episodic recharge caused by precipitation falling as rain in the watershed. Increases in dissolved phosphorus and nitrate in the lake during winter are attributed to groundwater discharge and correlates to increases in algal biomass in the nearshore area. Results indicate that nutrient-rich groundwater discharge appears to stimulate seasonal periphyton blooms along the eulittoral zone of Lake Tahoe.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2018.11.033","usgsCitation":"Naranjo, R.C., Niswonger, R.G., Smith, D., Rosenberry, D.O., and Chandra, S., 2019, Linkages between hydrology and seasonal variations of nutrients and periphyton in a large oligotrophic subalpine lake: Journal of Hydrology, v. 568, p. 877-890, https://doi.org/10.1016/j.jhydrol.2018.11.033.","productDescription":"14 p.","startPage":"877","endPage":"890","ipdsId":"IP-085290","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":359861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.20553588867188,\n 38.89530825492018\n ],\n [\n -119.87457275390625,\n 38.89530825492018\n ],\n [\n -119.87457275390625,\n 39.299236474818194\n ],\n [\n -120.20553588867188,\n 39.299236474818194\n ],\n [\n -120.20553588867188,\n 38.89530825492018\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"568","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c064edfe4b0815414cecb00","contributors":{"editors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":752918,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Smith, David 0000-0001-6074-9257","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":1989,"corporation":false,"usgs":false,"family":"Smith","given":"David","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":752919,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":752920,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Sudeep Chandra","contributorId":210992,"corporation":false,"usgs":false,"family":"Sudeep Chandra","affiliations":[{"id":38163,"text":"UNR","active":true,"usgs":false}],"preferred":false,"id":752921,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":752938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David 0000-0002-9543-800X","orcid":"https://orcid.org/0000-0002-9543-800X","contributorId":169280,"corporation":false,"usgs":true,"family":"Smith","given":"David","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":752939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":752940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chandra, Sudeep","contributorId":33195,"corporation":false,"usgs":false,"family":"Chandra","given":"Sudeep","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":752941,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203173,"text":"70203173 - 2019 - Long-term streamflow trends in Hawai‘i and implications for native stream fauna","interactions":[],"lastModifiedDate":"2019-12-04T15:35:53","indexId":"70203173","displayToPublicDate":"2018-12-02T16:32:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Long-term streamflow trends in Hawai‘i and implications for native stream fauna","docAbstract":"Climate change has fundamentally altered the water cycle in tropical islands, which is a critical driver of freshwater ecosystems. To examine how changes in streamflow regime have impacted habitat quality for native migratory aquatic species, we present a 50‐year (1967–2016) analysis of hydrologic records in 23 unregulated streams across the five largest Hawaiian Islands. For each stream, flow was separated into direct run‐off and baseflow and high‐ and low‐flow statistics (i.e., Q10 and Q90) with ecologically important hydrologic indices (e.g., frequency of flooding and low flow duration) derived. Using Mann–Kendall tests with a running trend analysis, we determined the persistence of streamflow trends through time. We analysed native stream fauna from ~400 sites, sampled from 1992 to 2007, to assess species richness among islands and streams. Declines in streamflow metrics indicated a general drying across the islands. In particular, significant declines in low flow conditions (baseflows), were experienced in 57% of streams, compared with a significant decline in storm flow conditions for 22% of streams. The running trend analysis indicated that many of the significant downward trends were not persistent through time but were only significant if recent decades (1987–2016) were included, with an average decline in baseflow and run‐off of 10.90% and 8.28% per decade, respectively. Streams that supported higher native species diversity were associated with moderate discharge and baseflow index, short duration of low flows, and negligible downward trends in flow. A significant decline in dry season flows (May–October) has led to an increase in the number of no‐flow days in drier areas, indicating that more streams may become intermittent, which has important implications for mauka to makai (mountain to ocean) hydrological connectivity and management of Hawai'i's native migratory freshwater fauna.
Recent oil discoveries in an Aptian–Cenomanian clinothem in Arctic Alaska demonstrate the potential for hundred-million- to billion-barrel oil accumulations in Nanushuk Formation topsets and Torok Formation foresets–bottomsets. Oil-prone source rocks and the clinothem are draped across the Barrow arch, a structural hinge between the Colville foreland basin and Beaufort Sea rifted margin. Stratigraphic traps lie in a favorable thermal maturity domain along multiple migration pathways across more than 30,000 km2(10,000 mi2). Sediment from the Chukotkan orogen (Russia) filled the western Colville basin and spilled over the Beaufort rift shoulder, forming east- and north-facing shelf margins. Progradational shelf-margin trajectories change abruptly to “sawtooth” trajectories at mid-clinothem, the result of reduction in sediment influx. Two stratigraphic trap types are inferred in Nanushuk basal topsets in the eastern part of the clinothem: (1) lowstand systems tracts, inferred to reflect forced regression, include a narrow, thick progradational stacking pattern perched on a sequence boundary on the upper slope; and (2) highstand-progradational systems tracts include a broad, thin wedge of shingled parasequences above a toplap surface. Both include stratigraphically isolated sandstone sealed by mudstone. Trap geometries in Torok foreset and bottomset facies in the same area include basin-floor fan, slope-apron, and slope-channel deposits that pinch out upslope and are sealed by mudstone. Significant potential exists for the discovery of additional oil accumulations in these stratigraphic trap types in the eastern part of the clinothem. Less potential may exist in the western part because reservoir-seal pairs may not be well developed.
","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/08151817281","usgsCitation":"Houseknecht, D.W., 2019, Petroleum systems framework of significant new oil discoveries in a giant Cretaceous (Aptian–Cenomanian) clinothem in Arctic Alaska: American Association of Petroleum Geologists Bulletin, v. 103, no. 3, p. 619-652, https://doi.org/10.1306/08151817281.","productDescription":"34 p.","startPage":"619","endPage":"652","ipdsId":"IP-088601","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360835,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/bulletns/aop/2018-09-06/aapgbltn17281aop.html"}],"volume":"103","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":746437,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227927,"text":"70227927 - 2019 - An analysis of autocorrelation and bias in home range estimation","interactions":[],"lastModifiedDate":"2022-02-03T12:25:05.493932","indexId":"70227927","displayToPublicDate":"2018-12-01T15:33:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of autocorrelation and bias in home range estimation","docAbstract":"Home range estimation is routine practice in ecological research. While advances in animal tracking technology have increased our capacity to collect data to support home range analysis, these same advances have also resulted in increasingly autocorrelated data. Consequently, the question of which home range estimator to use on modern, highly autocorrelated tracking data remains open. This question is particularly relevant given that most estimators assume independently sampled data. Here, we provide a comprehensive evaluation of the effects of autocorrelation on home range estimation. We base our study on an extensive data set of GPS locations from 369 individuals representing 27 species distributed across five continents. We first assemble a broad array of home range estimators, including Kernel Density Estimation (KDE) with four bandwidth optimizers (Gaussian reference function, autocorrelated-Gaussian reference function AKDE, Silvermans rule of thumb, and least squares cross-validation), Minimum Convex Polygon, and Local Convex Hull methods. Notably, all of these estimators except AKDE assume independent and identically distributed (IID) data. We then employ half-sample cross-validation to objectively quantify estimator performance, and the recently introduced effective sample size for home range area estimation ( N̂ area ) to quantify the information content of each data set. We found that AKDE 95% area estimates were larger than conventional IID-based estimates by a mean factor of 2. The median number of cross-validated locations included in the hold-out sets by AKDE 95% (or 50%) estimates was 95.3% (or 50.1%), confirming the larger AKDE ranges were appropriately selective at the specified quantile. Conversely, conventional estimates exhibited negative bias that increased with decreasing N̂ area . To contextualize our empirical results, we performed a detailed simulation study to tease apart how sampling frequency, sampling duration, and the focal animals movement conspire to affect range estimates. Paralleling our empirical results, the simulation study demonstrated that AKDE was generally more accurate than conventional methods, particularly for small N̂ area . While 72% of the 369 empirical data sets had >1,000 total observations, only 4% had an N̂ area >1,000, where 30% had an N̂ area <30. In this frequently encountered scenario of small N̂ area , AKDE was the only estimator capable of producing an accurate home range estimate on autocorrelated data.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1344","usgsCitation":"Noonan, M.T., Tucker, M.A., Fleming, C.H., Akre, T., Alberts, S.C., Ali, A.H., Altmann, J., Antunes, P.C., Belant, J.L., Beyer, D., Blaum, N., Bohning-Gaese, K., Cullen, L., Cunha de Paula, R., Dekker, J., Drescher-Lehman, J., Farwig, N., Fichtel, C., Fischer, C., Ford, A.T., Goheen, J.R., Janssen, R., Jeltsch, F., Kauffman, M., Kappeler, P.M., Koch, F., LaPoint, S., Markham, A.C., Medici, E.P., Morato, R.G., Nathan, R., Oliveira-Santos, L.G., Olson, K.A., Patterson, B.D., Paviolo, A., Esterci Ramalho, E., Rosner, S., Schabo, D.G., Selva, N., Sergiel, A., Xavier da Silva, M., Spiegel, O., Thompson, P.C., Ullmann, W., Zieba, F., Zwijacz-Kozica, T., Fagan, W.F., Mueller, T., and Calabrese, J., 2019, An analysis of autocorrelation and bias in home range estimation: Ecological Monographs, v. 89, no. 2, e01344, 21 p., https://doi.org/10.1002/ecm.1344.","productDescription":"e01344, 21 p.","ipdsId":"IP-094900","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468041,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecm.1344","text":"External Repository"},{"id":395326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-01-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Noonan, Michael T.","contributorId":274079,"corporation":false,"usgs":false,"family":"Noonan","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":832798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Marlee 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2019 - Functional and geographic components of risk for climate sensitive vertebrates in the Pacific Northwest, USA","interactions":[],"lastModifiedDate":"2019-08-09T11:03:00","indexId":"70204659","displayToPublicDate":"2018-12-01T14:35:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Functional and geographic components of risk for climate sensitive vertebrates in the Pacific Northwest, USA","docAbstract":"Rarity and life history traits inform multiple dimensions of intrinsic risk to climate and environmental change and can help systematically identify at-risk species. We quantified relative geographic rarity (area of occupancy), climate niche breadth, and life history traits for 114 freshwater fishes, amphibians, and reptiles in the U.S. Pacific Northwest. Our approach leveraged presence-only, publicly available data and traits-based inference to evaluate area of occupancy, climate sensitivity (i.e., climate niche breadth), and a Rarity and Climate Sensitivity\n(RCS) index of all species across multiple geographic extents, grain sizes, and data types. The RCS index was relatively stable across extents, grains, and data types, with climate sensitivity differentiating species with otherwise similar areas of occupancy. We also found that species with sensitivity-associated traits (e.g., long generation time, low fecundity) were not necessarily the same species identified as at-risk with geographical approaches (small range size, small climate niche breadth). Many multispecies assessments using coarse-scale data (e.g., entire range maps or convex-hull approaches) often focus on a single dimension of intrinsic risk;\nothers rely on data-intensive models only applicable to a few well-studied species. What remains is a need for an approach that enables multispecies, multidimensional assessment efforts. This is particularly true at regional scales, where management needs require assessments that are intermediate to coarse- and fine-scale approaches. We demonstrate that by considering multiple dimensions of intrinsic risk to climate change (range size, climate sensitivity, and traits), site-specific locality data may offer a pathway for ensuring vulnerable, understudied species do not go overlooked in conservation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.10.012","usgsCitation":"Meryl Mims, Deanna H. Olson, Pilliod, D.S., and Dunham, J.B., 2019, Functional and geographic components of risk for climate sensitive vertebrates in the Pacific Northwest, USA: Biological Conservation, v. 228, p. 183-194, https://doi.org/10.1016/j.biocon.2018.10.012.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-102394","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468042,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2018.10.012","text":"Publisher Index Page"},{"id":366420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -127.265625,\n 40.212440718286466\n ],\n [\n -115.26855468749999,\n 40.212440718286466\n ],\n [\n -115.26855468749999,\n 49.95121990866204\n ],\n [\n -127.265625,\n 49.95121990866204\n ],\n [\n -127.265625,\n 40.212440718286466\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"228","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meryl Mims","contributorId":217970,"corporation":false,"usgs":false,"family":"Meryl Mims","affiliations":[],"preferred":false,"id":767946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deanna H. 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Olson","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":767947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":767949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202766,"text":"70202766 - 2019 - Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Medford Unit","interactions":[],"lastModifiedDate":"2019-04-01T15:52:28","indexId":"70202766","displayToPublicDate":"2018-12-01T11:18:24","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Medford Unit","docAbstract":"No abstract available.
","largerWorkTitle":"Technical Report","language":"English","publisher":"Wisconsin Geological and Natural History Survey","usgsCitation":"Bradbury, K., Mauel, S., Peter R. Schoephoester, Anna Fehling, Leaf, A.T., Juckem, P., Hunt, R., and Pruitt, A., 2019, Characterization of groundwater resources in the Chequamegon-Nicolet National Forest, Wisconsin: Medford Unit, v. 2018, no. 004-1, 10 Plates: 11 x 17 in.","productDescription":"10 Plates: 11 x 17 in.","numberOfPages":"10","ipdsId":"IP-081725","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":362609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362302,"type":{"id":15,"text":"Index Page"},"url":"https://wgnhs.uwex.edu/pubs/000961/"}],"country":"United States","state":"Wisconsin","county":"Taylor County","otherGeospatial":"Chequamegon-Nicolet National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.5,\n 45\n ],\n [\n -88.505859375,\n 45\n ],\n [\n -88.505859375,\n 46.81133924039194\n ],\n [\n -91.5,\n 46.81133924039194\n ],\n [\n -91.5,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2018","issue":"004-1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bradbury, Ken","contributorId":190742,"corporation":false,"usgs":false,"family":"Bradbury","given":"Ken","email":"","affiliations":[],"preferred":false,"id":759885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mauel, Stephen","contributorId":214441,"corporation":false,"usgs":false,"family":"Mauel","given":"Stephen","email":"","affiliations":[{"id":27733,"text":"WGNHS","active":true,"usgs":false}],"preferred":false,"id":759886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peter R. Schoephoester","contributorId":214440,"corporation":false,"usgs":false,"family":"Peter R. Schoephoester","affiliations":[{"id":27733,"text":"WGNHS","active":true,"usgs":false}],"preferred":false,"id":759887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anna Fehling","contributorId":214439,"corporation":false,"usgs":false,"family":"Anna Fehling","affiliations":[{"id":27733,"text":"WGNHS","active":true,"usgs":false}],"preferred":false,"id":759888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Juckem, Paul 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":214445,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759883,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":214444,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759881,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pruitt, Aaron","contributorId":214446,"corporation":false,"usgs":false,"family":"Pruitt","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":759884,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227925,"text":"70227925 - 2019 - Genetic swamping and species collapse: Tracking introgression between the native Candy Darter and introduced Variegate Darter","interactions":[],"lastModifiedDate":"2022-02-03T11:55:44.231498","indexId":"70227925","displayToPublicDate":"2018-12-01T10:48:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genetic swamping and species collapse: Tracking introgression between the native Candy Darter and introduced Variegate Darter","docAbstract":"Candy Darters (Etheostoma osburni) and Variegate Darters (E. variatum) are both native to West Virginia and Virginia. The geographic ranges of these two species were historically separated by Kanawha Falls, a natural barrier to fish dispersal located at Glen Ferris, WV. In the early 1980s, Variegate Darters or putative hybrids (E. osburni × E. variatum) were first collected at locations upstream of Kanawha Falls, and have since undergone range expansion. Hybridization with the Variegate Darter was one of the threats that led to the Candy Darter being proposed for listing under the U.S. Endangered Species Act in 2017. Genetic and morphologic data were examined for individuals from the New, Gauley, and Greenbrier river drainages. Individuals were genotyped using a suite of 5 diagnostic microsatellite loci to investigate potential hybridization. Widespread hybridization was found throughout populations of Candy Darters, with the geographic range of hybridization expanding from 2004 to 2014. A hybrid zone was observed, with the highest levels of Variegate Darter introgression representing the kernel within this zone and the locations of first-generation (F1) hybrids at the periphery. F1 hybrids were morphologically intermediate within and across characters for parental species. Introgressive hybridization threatens the genetic integrity of the Candy Darter, and may lead to population extirpation or extinction.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-018-1131-2","usgsCitation":"Gibson, I., Welsh, A., Welsh, S.A., and Cincotta, D., 2019, Genetic swamping and species collapse: Tracking introgression between the native Candy Darter and introduced Variegate Darter: Conservation Genetics, v. 20, p. 287-298, https://doi.org/10.1007/s10592-018-1131-2.","productDescription":"12 p.","startPage":"287","endPage":"298","ipdsId":"IP-094794","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":395289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.6728515625,\n 38.71980474264237\n ],\n [\n -79.82666015625,\n 38.736946065676\n ],\n [\n -80.17822265625,\n 38.53097889440024\n ],\n [\n -80.61767578124999,\n 38.272688535980976\n ],\n [\n -81.2548828125,\n 38.324420427006544\n ],\n [\n -81.40869140625,\n 37.97884504049713\n ],\n [\n -81.38671875,\n 37.64903402157866\n ],\n [\n -81.84814453125,\n 37.24782120155428\n ],\n [\n -81.32080078125,\n 37.3002752813443\n ],\n [\n -80.5078125,\n 37.35269280367274\n ],\n [\n -80.15625,\n 37.75334401310656\n ],\n [\n -79.82666015625,\n 38.44498466889473\n ],\n [\n -79.6728515625,\n 38.71980474264237\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","noUsgsAuthors":false,"publicationDate":"2018-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Gibson, Isaac","contributorId":273116,"corporation":false,"usgs":false,"family":"Gibson","given":"Isaac","email":"","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":832589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Amy B.","contributorId":273117,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy B.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":832590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welsh, Stuart A. 0000-0003-0362-054X","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":217037,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"","middleInitial":"A.","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cincotta, Daniel A.","contributorId":273118,"corporation":false,"usgs":false,"family":"Cincotta","given":"Daniel A.","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":832591,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204731,"text":"70204731 - 2019 - Controls on organic matter distributions in Eocene Lake Uinta, Utah and Colorado","interactions":[],"lastModifiedDate":"2019-08-13T07:49:12","indexId":"70204731","displayToPublicDate":"2018-12-01T07:46:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2789,"text":"Mountain Geologist","active":true,"publicationSubtype":{"id":10}},"title":"Controls on organic matter distributions in Eocene Lake Uinta, Utah and Colorado","docAbstract":"The Green River Formation deposited in Eocene Lake Uinta in the Uinta and Piceance Basins, Utah and Colorado, contains the largest oil shale resource in the world with an estimated 1.53 trillion barrels of oil in-place in the Piceance Basin and 1.32 trillion barrels in the Uinta Basin. The Douglas Creek arch, a slowly subsiding hinge-line between the two basins, created separate deep depocenters with shallow water conditions near the crest of the arch. Lake Uinta was a saline lake throughout its history with a lower saline to hypersaline layer (monimolimnion) and an upper less saline layer (mixolimnion). Most of the organic matter in the Green River Formation was derived primarily from algae that lived in the photic zone of the lake and is very hydrogen-rich and oil-prone. \nIn many modern large and deep lakes, rates of organic matter production are highly variable due to differences in nutrient supply. However, cyclonic circulation often leads to winnowing out organic and mineral matter in the mixolimnion leading to organic and fine-grained mineral matter being deposited in increasing amounts toward hydro-dynamically dead zones in the center of the circulation producing concentric bands of increasing organic matter content. Organic matter transport through the dense, hypersaline monimolimnion may have been facilitated by low density organic matter attaching to more dense clay mineral particles. Most of the oil shale intervals deposited in Lake Uinta display similar patterns in their organic matter distributions, increasing in very regular fashion toward the central areas of the lake’s two depocenters. This concentric feature is particularly prominent in the most laminated oil shale zones. Here, we propose that cyclonic circulation was present in Lake Uinta. Each basin appears to have had its own circulation currents, separated by shallow water conditions near the Douglas Creek arch, as well as one hydro-dynamically dead zone. \nSediment gravity flow processes were also very active in some strata of Lake Uinta, leading to the reworking and redepositing of sediments. Two general types of sediment gravity flows are recognized: (1) organic-rich sediment gravity flows that reworked and may have concentrated organic-rich material closer to the two deep depocenters, and (2) sandstone and siltstone-rich organic-poor mass movement deposits that originated on marginal shelves. Mass movements could have been triggered by various natural processes and/or possibly by the movement of dense brines that evolved on marginal shelves and moved along the bottom of the water column toward the deep part of the lake. The uppermost, poorly consolidated sediment layer was incorporated in sediment gravity flows as they moved, and in many cases sediment gravity flows scoured down significantly into the more consolidated underlying sediment producing large rip-up clasts of laminated sediments. Truncation of more than 100 ft occurs at the base of a sequence of sediment gravity flows in one well, indicating a significant incised channel. Coarser-grained sediment gravity flows terminated before reaching the lake’s deepest areas, forming thick concentric buildups of organically-lean sediment near the base of the marginal slopes. Intervals dominated by organic-rich fine-grained sediment gravity flows have tightly concentric bands of increasing organic matter toward the deepest parts of the lake and can be organically richer than the richest laminated intervals. There is some evidence that the hydro-dynamically quiet zones did not always correspond closely to the deepest areas of the lake, extending in some cases into shallower areas.","language":"English","publisher":"Rocky Mountain Association of Geologists","doi":"10.31582/rmag.mg.55.4.177","usgsCitation":"Johnson, R.C., Mercier, T.J., and Birdwell, J.E., 2019, Controls on organic matter distributions in Eocene Lake Uinta, Utah and Colorado: Mountain Geologist, v. 55, no. 1, p. 177-216, https://doi.org/10.31582/rmag.mg.55.4.177.","productDescription":"40 p.","startPage":"177","endPage":"216","ipdsId":"IP-100509","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science 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approaches","interactions":[],"lastModifiedDate":"2019-05-02T08:37:35","indexId":"70203268","displayToPublicDate":"2018-12-01T07:15:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches","docAbstract":"","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.290","usgsCitation":"Hill, A.F., Stallard, R., and Rittger, K., 2019, Clarifying regional hydrologic controls of the Marañón River, Peru through rapid assessment to inform system-wide basin planning approaches: Elementa: Science of the Anthropocene, v. 6, no. 1, 22 p., https://doi.org/10.1525/elementa.290.","productDescription":"22 p.","ipdsId":"IP-091037","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.290","text":"Publisher Index Page"},{"id":363471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","otherGeospatial":"Marañón River","volume":"6","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Alice F.","contributorId":215273,"corporation":false,"usgs":false,"family":"Hill","given":"Alice","email":"","middleInitial":"F.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":761967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert 0000-0001-8209-7608","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":215272,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":761966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rittger, Karl","contributorId":215274,"corporation":false,"usgs":false,"family":"Rittger","given":"Karl","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":761968,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201139,"text":"70201139 - 2019 - Controls of the spatial variability of denitrification potential in nontidal floodplains of the Chesapeake Bay watershed, USA","interactions":[],"lastModifiedDate":"2018-11-30T14:59:36","indexId":"70201139","displayToPublicDate":"2018-11-30T14:59:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Controls of the spatial variability of denitrification potential in nontidal floodplains of the Chesapeake Bay watershed, USA","docAbstract":"Identifying floodplains with high rates of denitrification will help prioritize restoration projects for the removal of nitrogen. Currently, relationships of denitrification with hydrogeomorphic, physiographic, and climate (i.e., largescale) characteristics of floodplains are relatively unknown, even though these characteristics have datasets (e.g., geographic mapping tools) that are publicly available (or soon-to-become) that could be used to understand denitrification variability. Thus, we investigated control of denitrification by these largescale characteristics in eighteen nontidal floodplains of the Chesapeake Bay watershed (i.e., at regional scale, >100 km, scale), using measurements or compiled data at the scales of the stream reach and respective catchment; floodplain soil and herbaceous vegetation (i.e., local) characteristics were additionally investigated. Soil denitrification potentials were measured in May, July, and August using complementary acetylene-based techniques under an anoxic environment. Linear largescale predictors of denitrification potential measurements included stream nitrogen and phosphorus concentrations (+), channel width-to-depth ratio (+), floodplain sedimentation (+), forested (−) and urban (+) catchment land cover, and seasonal air temperature (−). Three predictors, catchment forested land cover (strongly related to agricultural land cover), catchment urban land cover, and floodplain sedimentation were related to the most number of denitrification potential measurements. Soil structure, soil nutrient concentrations, and herbaceous vegetation characteristics that were seasonally measured (with a few exceptions) were linear predictors of denitrification potentials in May and August, with nitrogen and carbon characteristics the most consistent (positive) predictors across measurements. Nutrient amendment assays further supported the importance of nitrogen and carbon controls. Using the local characteristics as statistical mediators in path analysis, greater non-forested catchment land cover indirectly increased denitrification through greater floodplain soil nitrate, total phosphorus, and herbaceous aboveground biomass. Additionally, greater floodplain sedimentation indirectly increased denitrification through greater soil pH, total phosphorus, and potential carbon mineralization. Due to the consistency of relationships across denitrification potential measurements along with path modeling results, hotspots of floodplain denitrification should be found in urban and agricultural catchments where river-floodplain hydrologic connectivity promotes sedimentation. Largescale predictors explained 43–57% of the variation in denitrification potentials and should be useful for prediction in floodplains. Siting restoration projects in watersheds for maximum nitrate removal using publicly available largescale datasets is both feasible and effective.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2018.11.015","usgsCitation":"Korol, A.R., Noe, G.E., and Ahn, C., 2019, Controls of the spatial variability of denitrification potential in nontidal floodplains of the Chesapeake Bay watershed, USA: Geoderma, v. 338, p. 14-29, https://doi.org/10.1016/j.geoderma.2018.11.015.","productDescription":"16 p.","startPage":"14","endPage":"29","ipdsId":"IP-092882","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2018.11.015","text":"Publisher Index Page"},{"id":359856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":752885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahn, Changwoo","contributorId":191303,"corporation":false,"usgs":false,"family":"Ahn","given":"Changwoo","email":"","affiliations":[],"preferred":false,"id":752887,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215869,"text":"70215869 - 2019 - Comparison of attraction, entrance and passage of downstream migrant American eels (Anguilla rostrata) through airlift and siphon deep entrance bypass systems","interactions":[],"lastModifiedDate":"2020-10-30T18:58:26.413574","indexId":"70215869","displayToPublicDate":"2018-11-30T13:08:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparison of attraction, entrance and passage of downstream migrant American eels (Anguilla rostrata) through airlift and siphon deep entrance bypass systems","title":"Comparison of attraction, entrance and passage of downstream migrant American eels (Anguilla rostrata) through airlift and siphon deep entrance bypass systems","docAbstract":"Downstream migrating anguillid eels face many barriers including turbines and pumps at impoundments for water abstraction, power generation and water level control, when attempting to exit the freshwater catchment to reach spawning grounds. Multiple eel species worldwide are facing different levels of endangerment and alleviating the impacts of barriers to migration is essential to allow completion of the life cycle. Deep bypass systems with entrances located near the riverbed hold some promise for increased effectiveness compared to traditional downstream guidance and bypass facilities with entrances near the surface, as eels typically occupy the bottom of the water column. Here we evaluate two deep entrance bypass designs; an airlift (the Conte Airlift) and a conventional gravity siphon of the same entrance dimensions. Tests were performed using migratory silver-phase American eels (Anguilla rostrata), at night, in a simulated forebay environment. Passage performance was monitored over a 3 h test period using both PIT (passive integrated transponder) tag and video recording equipment. Entrance velocity was fixed at 1.2 m s−1 in each of 8 test runs with cohort size fixed in six runs at 14 and in two runs at 42. Test eels readily located, entered and passed both bypass designs. Differences in performance metrics between the airlift and siphon were not statistically significant (P > 0.05) with linked mean values of 74.5%, 90.5% and 100%, respectively. Eel length did not affect passage speed (P > 0.05) or slip ratio, i.e., the measured eel velocity relative to fluid velocity. The slip ratio was, however, greater in the siphon than in the airlift (P < 0.01) within identical vertical upflow sections of the test equipment. Siphon slip ratios in the upflow vertical section were comparable to those established for the horizontal and downflow sections. Fish density did not affect attraction and passage through the airlift or siphon. No mortality or signs of injury were observed on any of the test eels through a 48 h post-test observation period. Both airlift and siphon downstream bypass systems show promise as effective technologies for protection of downstream migrating eels at a variety of water diversion or hydroelectric sites that pose threats of impingement, entrainment, and turbine mortality.