{"pageNumber":"332","pageRowStart":"8275","pageSize":"25","recordCount":68855,"records":[{"id":70203666,"text":"70203666 - 2018 - A critical time for mercury science to inform global policy","interactions":[],"lastModifiedDate":"2019-05-30T16:09:35","indexId":"70203666","displayToPublicDate":"2018-08-01T16:03:55","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"A critical time for mercury science to inform global policy","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Mercury is a global pollutant released into the biosphere by varied human activities including coal combustion, mining, artisanal gold mining, cement production, and chemical production. Once released to air, land and water, the addition of carbon atoms to mercury by bacteria results in the production of methylmercury, the toxic form that bioaccumulates in aquatic and terrestrial food chains resulting in elevated exposure to humans and wildlife. Global recognition of the mercury contamination problem has resulted in the Minamata Convention on Mercury, which came into force in 2017. The treaty aims to protect human health and the environment from human-generated releases of mercury curtailing its movement and transformations in the biosphere. Coincident with the treaty’s coming into force, the 13th International Conference of Mercury as a Global Pollutant (ICMGP-13) was held in Providence, Rhode Island USA. At ICMGP-13, cutting edge research was summarized and presented to address questions relating to global and regional sources and cycling of mercury, how that mercury is methylated, the effects of mercury exposure on humans and wildlife, and the science needed for successful implementation of the Minamata Convention. Human activities have the potential to enhance mercury methylation by remobilizing previously released mercury, and increasing methylation efficiency. This synthesis concluded that many of the most important factors influencing the fate and effects of mercury and its more toxic form, methylmercury, stem from environmental changes that are much broader in scope than mercury releases alone. Alterations of mercury cycling, methylmercury bioavailability and trophic transfer due to climate and land use changes remain critical uncertainties in effective implementation of the Minamata Convention. In the face of these uncertainties, important policy and management actions are needed over the short-term to support the control of mercury releases to land, water and air. These include adequate monitoring and communication on risk from exposure to various forms of inorganic mercury as well as methylmercury from fish and rice consumption. Successful management of global and local mercury pollution will require integration of mercury research and policy in a changing world.</p></div></div></div></div></div>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.8b02286","usgsCitation":"Chen, C.Y., Driscoll, C.T., Eagles-Smith, C.A., Eckley, C.S., Gay, D.A., Hsu-Kim, H., Keane, S.E., Kirk, J.L., Mason, R., Obrist, D., Selin, H., Selin, N., and Thompson, M.R., 2018, A critical time for mercury science to inform global policy: Environmental Science & Technology, v. 52, no. 17, p. 9556-9561, https://doi.org/10.1021/acs.est.8b02286.","productDescription":"6 p.","startPage":"9556","endPage":"9561","ipdsId":"IP-096261","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"links":[{"id":468529,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.8b02286","text":"Publisher Index Page"},{"id":364266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"17","noUsgsAuthors":false,"publicationDate":"2018-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Chen, Celia Y.","contributorId":145630,"corporation":false,"usgs":false,"family":"Chen","given":"Celia","email":"","middleInitial":"Y.","affiliations":[{"id":16179,"text":"Dartmouth College, Hanover NH","active":true,"usgs":false}],"preferred":false,"id":763491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driscoll, Charles T.","contributorId":167460,"corporation":false,"usgs":false,"family":"Driscoll","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":763492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eckley, Chris S.","contributorId":167256,"corporation":false,"usgs":false,"family":"Eckley","given":"Chris","email":"","middleInitial":"S.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":763494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gay, David A.","contributorId":177963,"corporation":false,"usgs":false,"family":"Gay","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":763495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hsu-Kim, Heileen","contributorId":49041,"corporation":false,"usgs":false,"family":"Hsu-Kim","given":"Heileen","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":763496,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Keane, S. E.","contributorId":56336,"corporation":false,"usgs":false,"family":"Keane","given":"S.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":763497,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kirk, Jane L.","contributorId":215947,"corporation":false,"usgs":false,"family":"Kirk","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":763498,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mason, Robert","contributorId":92360,"corporation":false,"usgs":true,"family":"Mason","given":"Robert","email":"","affiliations":[],"preferred":false,"id":763499,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Obrist, Daniel","contributorId":172155,"corporation":false,"usgs":false,"family":"Obrist","given":"Daniel","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":763500,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Selin, Henrik","contributorId":215948,"corporation":false,"usgs":false,"family":"Selin","given":"Henrik","email":"","affiliations":[],"preferred":false,"id":763501,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Selin, Noelle","contributorId":215949,"corporation":false,"usgs":false,"family":"Selin","given":"Noelle","email":"","affiliations":[],"preferred":false,"id":763502,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thompson, Marcella R.","contributorId":215950,"corporation":false,"usgs":false,"family":"Thompson","given":"Marcella","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":763503,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70201749,"text":"70201749 - 2018 - Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird","interactions":[],"lastModifiedDate":"2019-01-28T15:46:28","indexId":"70201749","displayToPublicDate":"2018-08-01T15:46:22","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird","docAbstract":"<p><span>Anthropogenic alterations to landscape structure and composition can have significant impacts on biodiversity, potentially leading to species extinctions. Population‐level impacts of landscape change are mediated by animal behaviors, in particular dispersal behavior. Little is known about the dispersal habits of rails (Rallidae) due to their cryptic behavior and tendency to occupy densely vegetated habitats. The effects of landscape structure on the movement behavior of waterbirds in general are poorly studied due to their reputation for having high dispersal abilities. We used a landscape genetic approach to test hypotheses of landscape effects on dispersal behavior of the Hawaiian gallinule (</span><i>Gallinula galeata sandvicensis</i><span>), an endangered subspecies endemic to the Hawaiian Islands. We created a suite of alternative resistance surfaces representing biologically plausible a priori hypotheses of how gallinules might navigate the landscape matrix and ranked these surfaces by their ability to explain observed patterns in genetic distance among 12 populations on the island of O`ahu. We modeled effective distance among wetland locations on all surfaces using both cumulative least‐cost‐path and resistance‐distance approaches and evaluated relative model performance using Mantel tests, a causal modeling approach, and the mixed‐model maximum‐likelihood population‐effects framework. Across all genetic markers, simulation methods, and model comparison metrics, surfaces that treated linear water features like streams, ditches, and canals as corridors for gallinule movement outperformed all other models. This is the first landscape genetic study on the movement behavior of any waterbird species to our knowledge. Our results indicate that lotic water features, including drainage infrastructure previously thought to be of minimal habitat value, contribute to habitat connectivity in this listed subspecies.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4296","usgsCitation":"van Rees, C.B., Reed, J.M., Wilson, R.E., Underwood, J.G., and Sonsthagen, S.A., 2018, Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird: Ecology and Evolution, v. 8, no. 16, p. 8328-8343, https://doi.org/10.1002/ece3.4296.","productDescription":"16 p.","startPage":"8328","endPage":"8343","ipdsId":"IP-093331","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4296","text":"Publisher Index Page"},{"id":360770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai`i","otherGeospatial":"O`ahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.31024169921875,\n              21.215140254089395\n            ],\n            [\n              -157.6263427734375,\n              21.215140254089395\n            ],\n            [\n              -157.6263427734375,\n              21.746744749939243\n            ],\n            [\n              -158.31024169921875,\n              21.746744749939243\n            ],\n            [\n              -158.31024169921875,\n              21.215140254089395\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"16","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-24","publicationStatus":"PW","scienceBaseUri":"5c5022c5e4b0708288f7e823","contributors":{"authors":[{"text":"van Rees, Charles B.","contributorId":198604,"corporation":false,"usgs":false,"family":"van Rees","given":"Charles","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":755178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, J. Michael","contributorId":198605,"corporation":false,"usgs":false,"family":"Reed","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":755179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":755180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Underwood, Jared G.","contributorId":198606,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":755181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":755177,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197902,"text":"sir20185086 - 2018 - Tritium deposition in precipitation in the United States, 1953–2012","interactions":[],"lastModifiedDate":"2018-08-02T14:52:55","indexId":"sir20185086","displayToPublicDate":"2018-08-01T15:32:10","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5086","title":"Tritium deposition in precipitation in the United States, 1953–2012","docAbstract":"<p>Tritium is a radioactive isotope of hydrogen (half-life is equal to 12.32 years). Since it is part of the water molecule, tritium can be used to track and date groundwater and surface water when the history of tritium in precipitation and recharge is known. To facilitate that effort, tritium concentrations in precipitation were reconstructed from measurements and correlations for 10 precipitation stations in the continental United States. Using these data, and other data sets and correlations, estimates of tritium concentrations in precipitation from 1953 through 2012 and total tritium deposition from 1953 through 1983 were derived for 2 degrees latitude by 5 degrees longitude quadrangles of the continental United States. For August 1953 through December 1987 correlations were derived from the data of the Ottawa, Canada, station; for estimates after 1987, the Vienna, Austria, station was used. For quadrangles where no precipitation station records are available from measurements or correlations, concentrations were interpolated. The International Atomic Energy Agency has proposed that a correlation with the Vienna, Austria, station, which has been in operation since 1960, be used instead of the Ottawa, Canada, station for the period after 1987. Linear correlations calculated for all stations with the Vienna data are reported. Correlations also have been calculated for each latitude-longitude quadrangle using the estimated concentrations and the measured Vienna data for 1960–87. Because the Vienna, Austria, station is on a different continent, and not subject to the same seasonal weather patterns that affect North American stations, a correlation was obtained for each month individually. This reflects the fact that the North American stations were strongly affected by the input of low-tritium moisture from the south during the summer. The correlated station values were then used with measured Vienna data to obtain estimates of tritium concentrations in precipitation for the period 1988–2012 at each precipitation station and latitude-longitude quadrangles. This approach has two major advantages: (1) it blends the Ottawa correlation with the Vienna correlation to cover the period 1953 to present, and (2) it yields correlation coefficients for each quadrangle that can be used in future years when more data become available from the Vienna, Austria, station. The data, the estimated tritium concentrations derived from the correlations, and the correlation coefficients are provided as spreadsheets and associated comma delimited files in a data release that accompanies this report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185086","usgsCitation":"Michel, R.L., Jurgens, B.C., and Young, M.B., 2018, Tritium deposition in precipitation in the United States, 1953–2012: U.S. Geological Survey Scientific Investigations Report 2018–5086, 11 p., https://doi.org/10.3133/sir20185086.","productDescription":"Report: iv, 11 p.; Data release","numberOfPages":"19","onlineOnly":"Y","ipdsId":"IP-094821","costCenters":[{"id":154,"text":"California Water Science 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 \"}}]}\n\n\n","contact":"<div><a href=\"mailto:dc_ca@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,</div><div><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br data-mce-bogus=\"1\"></div><div><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br data-mce-bogus=\"1\"></div><div>6000 J Street, Placer Hall</div><div>Sacramento, California 95819</div>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Tritium Correlations</li><li>Tritium Deposition</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-08-01","noUsgsAuthors":false,"publicationDate":"2018-08-01","publicationStatus":"PW","scienceBaseUri":"5b6fc3eae4b0f5d57878e931","contributors":{"authors":[{"text":"Michel, Robert L. rlmichel@usgs.gov","contributorId":823,"corporation":false,"usgs":true,"family":"Michel","given":"Robert","email":"rlmichel@usgs.gov","middleInitial":"L.","affiliations":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"preferred":true,"id":739006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127839,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","email":"bjurgens@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":739005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Megan B. 0000-0002-0229-4108 mbyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0229-4108","contributorId":3315,"corporation":false,"usgs":true,"family":"Young","given":"Megan","email":"mbyoung@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":739007,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199027,"text":"70199027 - 2018 - Review and development of ASABE Engineering Practice 621: “Guidelines for calibrating, validating, and evaluating hydrologic and water quality models”","interactions":[],"lastModifiedDate":"2018-08-29T15:19:23","indexId":"70199027","displayToPublicDate":"2018-08-01T15:19:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"Review and development of ASABE Engineering Practice 621: “Guidelines for calibrating, validating, and evaluating hydrologic and water quality models”","docAbstract":"<p><span>In 2010, the Natural Resources and Environmental Systems Hydrology Committee (NRES-21) of ASABE initiated a long-term process to develop guidelines to improve modeling practice through better understanding of the calibration, validation, and evaluation process across applications and more effective interpretation and communication of model performance. This effort generated a compilation of 23 articles with model-specific descriptions and guidance (2012), a position paper outlining guidance for evaluating, interpreting, and communicating performance of hydrologic and water quality models considering intended use (2014), and a compilation of ten articles addressing key topics related to model calibration and validation (2015). In 2016, the first draft of ASABE Engineering Practice 621 (EP621), â€œGuidelines for Calibrating, Validating, and Evaluating Hydrologic and Water Quality (H/WQ) Models,â€ was developed, subsequently revised, and ultimately approved by the ASABE Standards Committee in 2017. EP621 provides guidelines, not prescriptive requirements, and as such recommends â€œgoodâ€ modeling practices to enhance calibration, validation, evaluation, and communication of H/WQ models through establishment of consistent terminology; model selection; compilation and processing of input data and calibration, validation, and evaluation data; determination of model performance measures; model parameterization and calibration; re-examination of input and calibration data and/or consideration of model refinement; re-evaluation of model performance; and documentation of modeling process and results. EP621 can be obtained from the ASABE Technical Library at https://elibrary.asabe.org/abstract.asp?aid=47804. The objectives of this technical note are to review the process and rationale used to develop EP621 and to briefly summarize its major components.</span></p>","language":"English","publisher":"American Society of Agricultural and Biological Engineers (ASABE)","doi":"10.13031/trans.12806","usgsCitation":"Harmel, R.D., Baffaut, C., and Douglas-Mankin, K.R., 2018, Review and development of ASABE Engineering Practice 621: “Guidelines for calibrating, validating, and evaluating hydrologic and water quality models”: Transactions of the ASABE, v. 61, no. 4, p. 1393-1401, https://doi.org/10.13031/trans.12806.","productDescription":"9 p.","startPage":"1393","endPage":"1401","ipdsId":"IP-094716","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":356927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f5b","contributors":{"authors":[{"text":"Harmel, R. Daren","contributorId":207419,"corporation":false,"usgs":false,"family":"Harmel","given":"R.","email":"","middleInitial":"Daren","affiliations":[{"id":37536,"text":"USDA-ARS Center for Agricultural Resources Research","active":true,"usgs":false}],"preferred":false,"id":743817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baffaut, Claire","contributorId":207420,"corporation":false,"usgs":false,"family":"Baffaut","given":"Claire","email":"","affiliations":[{"id":37537,"text":"USDA-ARS Cropping Systems and Water Quality Research Unit","active":true,"usgs":false}],"preferred":false,"id":743818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas-Mankin, Kyle R. 0000-0002-3155-3666","orcid":"https://orcid.org/0000-0002-3155-3666","contributorId":203927,"corporation":false,"usgs":true,"family":"Douglas-Mankin","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743816,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198930,"text":"70198930 - 2018 - Patterns of longer-term climate change effects on CO2 efflux from biocrusted soils differ from those observed in the short term","interactions":[],"lastModifiedDate":"2018-08-27T14:28:10","indexId":"70198930","displayToPublicDate":"2018-08-01T14:28:04","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Patterns of longer-term climate change effects on CO<sub>2</sub> efflux from biocrusted soils differ from those observed in the short term","title":"Patterns of longer-term climate change effects on CO2 efflux from biocrusted soils differ from those observed in the short term","docAbstract":"<p><span>Biological soil crusts (biocrusts) are predicted to be sensitive to the increased temperature and altered precipitation associated with climate change. We assessed the effects of these factors on soil carbon dioxide (CO</span><sub>2</sub><span>) balance in biocrusted soils using a sequence of manipulations over a 9-year period. We warmed biocrusted soils by 2 and, later, by 4</span><span>°C to better capture updated forecasts of future temperature at a site on the Colorado Plateau, USA. We also watered soils to alter monsoon-season precipitation amount and frequency and had plots that received both warming and altered precipitation treatments. Within treatment plots, we used 20 automated flux chambers to monitor net soil exchange (NSE) of CO</span><sub>2</sub><span>&nbsp;hourly, first in 2006–2007 and then again in 2013–2014, for a total of 39&nbsp;months. Net CO</span><sub>2</sub><span>&nbsp;efflux from biocrusted soils in the warming treatment increased a year after the experiment began (2006–2007). However, after 9&nbsp;years and even greater warming (4</span><span>°C), results were more mixed, with a reversal of the increase in 2013 (i.e., controls showed higher net CO</span><sub>2</sub><span>&nbsp;efflux than treatment plots) and with similarly high rates in all treatments during 2014, a wet year. Over the longer term, we saw evidence of reduced photosynthetic capacity of the biocrusts in response to both the temperature and altered precipitation treatments. Patterns in biocrusted soil CO</span><sub>2</sub><span>&nbsp;exchange under experimentally altered climate suggest that (1)&nbsp;warming stimulation of CO</span><sub>2</sub><span>&nbsp;efflux was diminished later in the experiment, even in the face of greater warming; and (2)&nbsp;treatment effects on CO</span><sub>2</sub><span>&nbsp;flux patterns were likely driven by changes in biocrust species composition and by changes in root respiration due to vascular plant responses.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-15-4561-2018","usgsCitation":"Darrouzet-Nardi, A., Reed, S.C., Grote, E.E., and Belnap, J., 2018, Patterns of longer-term climate change effects on CO2 efflux from biocrusted soils differ from those observed in the short term: Biogeosciences, v. 15, p. 4561-4573, https://doi.org/10.5194/bg-15-4561-2018.","productDescription":"13 p.","startPage":"4561","endPage":"4573","ipdsId":"IP-095373","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":460871,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-15-4561-2018","text":"Publisher Index Page"},{"id":356800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-26","publicationStatus":"PW","scienceBaseUri":"5b98a28ae4b0702d0e842f5d","contributors":{"authors":[{"text":"Darrouzet-Nardi, Anthony adarrouzet-nardi@usgs.gov","contributorId":207292,"corporation":false,"usgs":false,"family":"Darrouzet-Nardi","given":"Anthony","email":"adarrouzet-nardi@usgs.gov","affiliations":[],"preferred":false,"id":743460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grote, Edmund E. 0000-0002-9103-9482 ed_grote@usgs.gov","orcid":"https://orcid.org/0000-0002-9103-9482","contributorId":4271,"corporation":false,"usgs":true,"family":"Grote","given":"Edmund","email":"ed_grote@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743462,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198677,"text":"70198677 - 2018 - Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica","interactions":[],"lastModifiedDate":"2018-08-15T13:58:06","indexId":"70198677","displayToPublicDate":"2018-08-01T13:57:34","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2619,"text":"Limnetica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (<i>Luciobarbus bocagei</i> Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica","title":"Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica","docAbstract":"<p>El presente trabajo analiza la capacidad voluntaria de nado del barbo ibérico (<i>Luciobarbus bocagei</i> Steindachner, 1864) en un canal abierto durante su época de migración, relacionándola con factores ambientales y biométricos. La temperatura del agua, la velocidad de flujo y la longitud del pez fueron los factores de mayor importancia que condicionaron la velocidad de nado de los barbos y su tiempo de fatiga. Dentro del rango de valores estudiado, el barbo ibérico pudo mantener velocidades de nado en sprint (&gt; 15 BL/s) durante 3-10 s, y de 17-117 s en el modo de natación prolongada (7-15 BL/s). Los resultados aportados pueden ser empleados como una herramienta útil para la gestión de sus poblaciones, principalmente para el diseño de pasos para peces.</p><p>This paper analyzes the volitional swimming capacity of the Iberian barbel (<i>Luciobarbus bocagei</i> Steindachner, 1864) in an open flume during its migration period, in relation to environmental and biometric factors. Water temperature, flow velocity and fish length were the most important factors which affected the swimming speed of barbels and their fatigue time. Within the range of values studied, the Iberian barbel was able to maintain sprint swim speeds (&gt; 15 BL/s) for 3-10 s, and 17-117 s in prolonged swim mode (7-15 BL/s). The results can be used as a tool for the management of barbel populations, mainly in the design of fishways.</p>","language":"Spanish","publisher":"Asociación Ibérica de Limnología","doi":"10.23818/limn.37.21","usgsCitation":"Ruiz-Legazpi, J., Sanz-Ronda, F., Bravo-Cordoba, F., Fuentes-Perez, J., and Castro-Santos, T.R., 2018, Influencia de factores ambientales y biométricos en la capacidad de nado del barbo ibérico (Luciobarbus bocagei Steindachner, 1864), un ciprínido potamódromo endémico de la Península Ibérica: Limnetica, v. 37, no. 2, p. 251-265, https://doi.org/10.23818/limn.37.21.","productDescription":"15 p.","startPage":"251","endPage":"265","ipdsId":"IP-091479","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":468536,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.23818/limn.37.21","text":"Publisher Index Page"},{"id":356518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-15","publicationStatus":"PW","scienceBaseUri":"5b98a294e4b0702d0e842f63","contributors":{"authors":[{"text":"Ruiz-Legazpi, Jorge","contributorId":207045,"corporation":false,"usgs":false,"family":"Ruiz-Legazpi","given":"Jorge","email":"","affiliations":[{"id":37437,"text":"Universidad de Valladolid","active":true,"usgs":false}],"preferred":false,"id":742527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanz-Ronda, F.J.","contributorId":207046,"corporation":false,"usgs":false,"family":"Sanz-Ronda","given":"F.J.","email":"","affiliations":[{"id":37437,"text":"Universidad de Valladolid","active":true,"usgs":false}],"preferred":false,"id":742528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bravo-Cordoba, F.J.","contributorId":168520,"corporation":false,"usgs":false,"family":"Bravo-Cordoba","given":"F.J.","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":742529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuentes-Perez, J.F.","contributorId":168521,"corporation":false,"usgs":false,"family":"Fuentes-Perez","given":"J.F.","email":"","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":742530,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":742526,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200453,"text":"70200453 - 2018 - Climate change and future wildfire in the western USA: An ecological approach to nonstationarity","interactions":[],"lastModifiedDate":"2018-10-18T13:51:09","indexId":"70200453","displayToPublicDate":"2018-08-01T13:50:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and future wildfire in the western USA: An ecological approach to nonstationarity","docAbstract":"<p><span>We developed ecologically based climate‐fire projections for the western United States. Using a finer ecological classification and fire‐relevant climate predictors, we created statistical models linking climate and wildfire area burned for ecosections, which are geographic delineations based on biophysical variables. The results indicate a gradient from purely fuel‐limited (antecedent positive water balance anomalies or negative energy balance anomalies) to purely flammability‐limited (negative water balance anomalies or positive energy balance anomalies) fire regimes across ecosections. Although there are other influences (such as human ignitions and management) on fire occurrence and area burned, seasonal climate significantly explains interannual fire area burned. Differences in the role of climate across ecosections are not random, and the relative dominance of climate predictors allows objective classification of ecosection climate‐fire relationships. Expected future trends in area burned range from massive increases, primarily in flammability limited systems near the middle of the water balance deficit distribution, to substantial decreases, in fuel‐limited nonforested systems. We predict increasing area burned in most flammability‐limited systems but predict decreasing area burned in primarily fuel‐limited systems with a flammability‐limited (“hybrid”) component. Compared to 2030–2059 (2040s), projected area burned for 2070–2099 (2080s) increases much more in the flammability and flammability‐dominated hybrid systems than those with equal control and continues to decrease in fuel‐limited hybrid systems. Exceedance probabilities for historical 95th percentile fire years are larger in exclusively flammability‐limited ecosections than in those with fuel controls. Filtering the projected results using a fire‐rotation constraint minimizes overprojection due to static vegetation assumptions, making projections more conservative.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2018EF000878","usgsCitation":"Littell, J.S., McKenzie, D., Wan, H.Y., and Cushman, S.A., 2018, Climate change and future wildfire in the western USA: An ecological approach to nonstationarity: Earth's Future, v. 6, no. 8, p. 1097-1111, https://doi.org/10.1029/2018EF000878.","productDescription":"15 p.","startPage":"1097","endPage":"1111","ipdsId":"IP-097140","costCenters":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"links":[{"id":468537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018ef000878","text":"Publisher Index Page"},{"id":358539,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Donald","contributorId":181509,"corporation":false,"usgs":false,"family":"McKenzie","given":"Donald","affiliations":[],"preferred":false,"id":748943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wan, Ho Yi","contributorId":209843,"corporation":false,"usgs":false,"family":"Wan","given":"Ho","email":"","middleInitial":"Yi","affiliations":[{"id":38007,"text":"3Northern Arizona University,  School of Earth Sciences and Environmental Sustainability","active":true,"usgs":false}],"preferred":false,"id":748944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cushman, Samuel A.","contributorId":209844,"corporation":false,"usgs":false,"family":"Cushman","given":"Samuel","email":"","middleInitial":"A.","affiliations":[{"id":38008,"text":"US Department of Agriculture Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":748945,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199411,"text":"70199411 - 2018 - Applying recreation ecology science to sustainably manage camping impacts:  A classification of camping management strategies","interactions":[],"lastModifiedDate":"2018-09-17T13:49:45","indexId":"70199411","displayToPublicDate":"2018-08-01T13:49:29","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2082,"text":"International Journal of Wilderness","active":true,"publicationSubtype":{"id":10}},"title":"Applying recreation ecology science to sustainably manage camping impacts:  A classification of camping management strategies","docAbstract":"<p><span>Wilderness and other protected natural areas such as national forests, parks, and refuges are managed to provide high-quality recreational opportunities while preserving natural resource conditions. In managing recreation visitation, land managers could allow visitors to create their own infrastructure of trails and campsites, or they could choose to apply an impact management strategy to provide an infrastructure that includes sustainably designed trails and campsites. Recreation ecology studies have repeatedly demonstrated that informal “visitor-created” trails and campsites are generally not sustainably designed or located (Cole 1981, 1982a, 2013; Marion 2016; Wimpey and Marion 2011). For example, informal trails frequently occur in flat terrain where trail widening and muddiness can be chronic problems, or are fall-aligned (perpendicular to contour lines) in sloping terrain, where they are considerably more vulnerable to soil loss and widening (Marion et al. 2016; Marion and Wimpey 2017). Similarly, visitors are highly attracted to flat terrain near water for camping, where they frequently create substantial numbers of large and unnecessary campsites at densities that threaten visitor solitude, experiential qualities, and natural resources.</span></p>","language":"English","publisher":"WILD Foundation","usgsCitation":"Marion, J.L., Arredondo, J., Wimpey, J., and Meadema, F., 2018, Applying recreation ecology science to sustainably manage camping impacts:  A classification of camping management strategies: International Journal of Wilderness, v. 24, no. 2, p. 1-12.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-098660","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":357399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357377,"type":{"id":15,"text":"Index Page"},"url":"https://ijw.org/2018-applying-recreation-ecology-science-to-sustainably-manage-camping-impacts/"}],"volume":"24","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02fc1e4b0fc368eb53979","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":745165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arredondo, Johanna","contributorId":192143,"corporation":false,"usgs":false,"family":"Arredondo","given":"Johanna","affiliations":[],"preferred":false,"id":745166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wimpey, Jeremy","contributorId":189354,"corporation":false,"usgs":false,"family":"Wimpey","given":"Jeremy","affiliations":[],"preferred":false,"id":745167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meadema, Fletcher","contributorId":207912,"corporation":false,"usgs":false,"family":"Meadema","given":"Fletcher","affiliations":[{"id":37662,"text":"Virginia Tech Master's student","active":true,"usgs":false}],"preferred":false,"id":745168,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196841,"text":"70196841 - 2018 - Selective occupancy of a persistent yet variable coastal river plume by two seabird species","interactions":[],"lastModifiedDate":"2018-08-07T12:31:38","indexId":"70196841","displayToPublicDate":"2018-08-01T12:31:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Selective occupancy of a persistent yet variable coastal river plume by two seabird species","docAbstract":"<p><span>Advances in telemetry and modeling of physical processes expand opportunities to assess relationships between marine predators and their dynamic habitat. The Columbia River plume (CRP) attracts sooty shearwaters&nbsp;</span><i>Ardenna grisea</i><span>&nbsp;and common murres&nbsp;</span><i>Uria aalge</i><span>, but how seabirds respond to variability in plume waters is unknown. We characterized seabird distributions in relation to hourly, daily, monthly, and seasonal variation in CRP location and surface area by attaching satellite telemetry tags to shearwaters in 2008 and 2009, and to murres in 2012 and 2013. We matched seabird locations to surface salinity from a high-resolution hydrodynamic model of the CRP and adjacent waters. Utilization distributions indicated high-use areas north of the Columbia River mouth and in continental shelf waters. Shearwater and murre occupancy of tidal (&lt;21 psu), recirculating (21-26 psu), and boundary (26-31 psu) plume waters was on average 31% greater than expected and positively correlated with CRP surface area. Seabird latitude was positively correlated with latitude of the geographic center of the CRP, indicating that birds move in phase with the plume. We detected a threshold response of seabirds to plume size, and birds were closer to the convergent CRP boundary (28 psu isohaline) after a surface area threshold between 1500 and 4000 km</span><sup>2</sup><span>&nbsp;was exceeded. We conclude that shearwaters and murres selectively occupy and track plume waters, particularly dynamic boundary waters where foraging opportunities may be enhanced by increases in surface area and associated biophysical coupling that aggregates zooplankton and attracts prey fishes.</span></p>","language":"English","publisher":"Wiley","doi":"10.3354/meps12534","usgsCitation":"Phillips, E.M., Horne, J., Adams, J., and Zamon, J.E., 2018, Selective occupancy of a persistent yet variable coastal river plume by two seabird species: Marine Ecology Progress Series, v. 594, p. 245-261, https://doi.org/10.3354/meps12534.","productDescription":"17 p.","startPage":"245","endPage":"261","ipdsId":"IP-095510","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468539,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/65343","text":"External Repository"},{"id":356283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"594","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3ebe4b0f5d57878e937","contributors":{"authors":[{"text":"Phillips, Elizabeth M.","contributorId":204681,"corporation":false,"usgs":false,"family":"Phillips","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":734671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horne, John K.","contributorId":204682,"corporation":false,"usgs":false,"family":"Horne","given":"John K.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":734672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Josh 0000-0003-3056-925X josh_adams@usgs.gov","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":2422,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","email":"josh_adams@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":734670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zamon, Jeannette E.","contributorId":168453,"corporation":false,"usgs":false,"family":"Zamon","given":"Jeannette","email":"","middleInitial":"E.","affiliations":[{"id":25294,"text":"NOAA/NMFS/NWFSC","active":true,"usgs":false}],"preferred":false,"id":734673,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70200627,"text":"70200627 - 2018 - A novel high-frequency groundwater quality monitoring system","interactions":[],"lastModifiedDate":"2018-10-25T12:26:08","indexId":"70200627","displayToPublicDate":"2018-08-01T12:26:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"A novel high-frequency groundwater quality monitoring system","docAbstract":"<p><span>High-frequency, long-term monitoring of water quality has revolutionized the study of surface waters in recent years. However, application of these techniques to groundwater has been limited by the ability to remotely pump and analyze groundwater. This paper describes a novel autonomous groundwater quality monitoring system which samples multiple wells to evaluate temporal changes and identify trends in groundwater chemistry. The system, deployed near Fresno, California, USA, collects and transmits high-frequency data, including water temperature, specific conductance, pH, dissolved oxygen, and nitrate, from supply and monitoring wells, in real-time. The system consists of a water quality sonde and optical nitrate sensor, manifold, submersible three-phase pump, variable frequency drive, data collection platform, solar panels, and rechargeable battery bank. The manifold directs water from three wells to a single set of sensors, thereby reducing setup and operation costs associated with multi-sensor networks. Sampling multiple wells at high frequency for several years provided a means of monitoring the vertical distribution and transport of solutes in the aquifer. Initial results show short period variability of nitrate, specific conductivity, and dissolved oxygen in the shallow aquifer, while the deeper portion of the aquifer remains unchanged—observations that may be missed with traditional discrete sampling approaches. In this aquifer system, nitrate and specific conductance are increasing in the shallow aquifer, while invariant changes in deep groundwater chemistry likely reflect relatively slow groundwater flow. In contrast, systems with high groundwater velocity, such as karst aquifers, have been shown to exhibit higher-frequency groundwater chemistry changes. The stability of the deeper aquifer over the monitoring period was leveraged to develop estimates of measurement system uncertainty, which were typically lower than the manufacturer’s stated specifications, enabling the identification of subtle variability in water chemistry that may have otherwise been missed.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-018-6853-6","usgsCitation":"Saraceno, J.F., Kulongoski, J.T., and Mathany, T.M., 2018, A novel high-frequency groundwater quality monitoring system: Environmental Monitoring and Assessment, v. 190, p. 1-14, https://doi.org/10.1007/s10661-018-6853-6.","productDescription":"Article 477; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-082994","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":358817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.04486083984375,\n              36.46326301239126\n            ],\n            [\n              -119.234619140625,\n              36.46326301239126\n            ],\n            [\n              -119.234619140625,\n              36.99158465967016\n            ],\n            [\n              -120.04486083984375,\n              36.99158465967016\n            ],\n            [\n              -120.04486083984375,\n              36.46326301239126\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"190","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-20","publicationStatus":"PW","scienceBaseUri":"5c10a970e4b034bf6a7e51ce","contributors":{"authors":[{"text":"Saraceno, John Franco 0000-0003-0064-1820 saraceno@usgs.gov","orcid":"https://orcid.org/0000-0003-0064-1820","contributorId":2328,"corporation":false,"usgs":true,"family":"Saraceno","given":"John","email":"saraceno@usgs.gov","middleInitial":"Franco","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathany, Timothy M. 0000-0002-4747-5113 tmathany@usgs.gov","orcid":"https://orcid.org/0000-0002-4747-5113","contributorId":191771,"corporation":false,"usgs":true,"family":"Mathany","given":"Timothy","email":"tmathany@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749746,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198584,"text":"70198584 - 2018 - Salinity tolerance among three freshwater mussels (Bivalvia: Unionidae) from Gulf Coastal Plain drainages","interactions":[],"lastModifiedDate":"2018-08-10T11:45:39","indexId":"70198584","displayToPublicDate":"2018-08-01T11:45:35","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1672,"text":"Florida Scientist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Salinity tolerance among three freshwater mussels (<i>Bivalvia: Unionidae</i>) from Gulf Coastal Plain drainages","title":"Salinity tolerance among three freshwater mussels (Bivalvia: Unionidae) from Gulf Coastal Plain drainages","docAbstract":"An important physiological constraint influencing distributions of coastal freshwater organisms is their tolerance for saline conditions. We experimentally evaluated salinity tolerance for three freshwater mussel species (Utterbackia imbecillis, Elliptio jayensis, and Glebula rotundata). Mussels were transferred abruptly from well water to one of five treatments (0 [control], 6, 12, 18 or 24 parts per thousand [ppt]). Utterbackia imbecillis survived on average about 2 days at treatments 6 ppt, while Elliptio jayensis survived slightly longer (about 4 days). Glebula rotundata was most tolerant to salinity, surviving as well at 6 and 12 ppt as it did in the control. Additionally, G. rotundata survived at higher salinities (18 and 24 ppt) for an average of 7–8 days. To our knowledge, this is the highest salinity tolerance ever reported for a unionid. The salinity tolerance of U. imbecillis may be influenced by its inability to completely seal its valves. The variation we found in salinity tolerance of these species corresponds with their distributions in the Gulf Coastal Plain drainages: U. imbecillis and E. jayensis are primarily found in strictly freshwater habitats whereas G. rotundata inhabits lower reaches of rivers closer to the coast. Stressors such as increased frequency and intensity of storms, sea level rise, drought, low flows, fossil fuel extraction, and municipal water withdrawals, among others, may increase salinities in freshwater ecosystems, potentially stressing mussels such as U. imbecillis and E. jayensis with low salinity tolerance.","language":"English","publisher":"Florida Academy of Sciences","usgsCitation":"Johnson, N.A., Schofield, P.J., Williams, J.D., and Austin, J.D., 2018, Salinity tolerance among three freshwater mussels (Bivalvia: Unionidae) from Gulf Coastal Plain drainages: Florida Scientist, v. 81, no. 2-3, p. 61-69.","productDescription":"8 p.","startPage":"61","endPage":"69","ipdsId":"IP-096286","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":356389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356358,"type":{"id":15,"text":"Index Page"},"url":"https://fas.fit.edu/florida-scientist/"}],"volume":"81","issue":"2-3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3ece4b0f5d57878e939","contributors":{"authors":[{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":742035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":742036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, James D.","contributorId":17690,"corporation":false,"usgs":false,"family":"Williams","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":742037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Austin, James D.","contributorId":206799,"corporation":false,"usgs":false,"family":"Austin","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":742038,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198762,"text":"70198762 - 2018 - Evaluation of targeted and untargeted effects-based monitoring tools to assess impacts of contaminants of emerging concern on fish in the South Platte River, CO","interactions":[],"lastModifiedDate":"2018-08-20T15:52:49","indexId":"70198762","displayToPublicDate":"2018-08-01T10:55:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of targeted and untargeted effects-based monitoring tools to assess impacts of contaminants of emerging concern on fish in the South Platte River, CO","docAbstract":"<p><span>Rivers in the arid Western United States face increasing influences from anthropogenic contaminants due to population growth,&nbsp;urbanization, and drought. To better understand and more effectively track the impacts of these contaminants, biologically-based monitoring tools are increasingly being used to complement routine chemical monitoring. This study was initiated to assess the ability of both targeted and untargeted biologically-based monitoring tools to discriminate impacts of two adjacent&nbsp;wastewater treatment plants&nbsp;(WWTPs) on Colorado's South Platte River. A cell-based&nbsp;estrogen&nbsp;assay (</span><i>in&nbsp;vitro</i><span>, targeted) determined that water samples collected downstream of the larger of the two WWTPs displayed considerable estrogenic activity in its two separate&nbsp;effluent&nbsp;streams. Hepatic vitellogenin mRNA expression (</span><i>in&nbsp;vivo</i><span>, targeted) and NMR-based metabolomic analyses (</span><i>in&nbsp;vivo</i><span>, untargeted) from caged male fathead minnows also suggested estrogenic activity downstream of the larger WWTP, but detected significant differences in responses from its two effluent streams. The metabolomic results suggested that these differences were associated with oxidative stress levels. Finally, partial least squares regression was used to explore linkages between the metabolomics responses and the chemical contaminants that were detected at the sites. This analysis, along with univariate statistical approaches, identified significant&nbsp;covariance&nbsp;between the biological endpoints and estrone concentrations, suggesting the importance of this contaminant and recommending increased focus on its presence in the environment. These results underscore the benefits of a combined targeted and untargeted biologically-based monitoring strategy when used alongside contaminant monitoring to more effectively assess ecological impacts of exposures to complex mixtures in surface waters.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.04.054","usgsCitation":"Ekman, D.R., Keteles, K., Beihoffer, J., Cavallin, J.E., Dahlin, K., Davis, J.M., Jastrow, A., Lazorchak, J.M., Mills, M.A., Murphy, M., Nguyen, D., Vajda, A.M., Villeneuve, D.L., Winkelman, D.L., and Collette, T., 2018, Evaluation of targeted and untargeted effects-based monitoring tools to assess impacts of contaminants of emerging concern on fish in the South Platte River, CO: Environmental Pollution, v. 239, p. 706-713, https://doi.org/10.1016/j.envpol.2018.04.054.","productDescription":"8 p.","startPage":"706","endPage":"713","ipdsId":"IP-096748","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":460873,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1565981","text":"Publisher Index Page"},{"id":356629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"South Platte River ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.5,\n              38\n            ],\n            [\n              -102,\n              38\n            ],\n            [\n              -102,\n              41\n            ],\n            [\n              -105.5,\n              41\n            ],\n            [\n              -105.5,\n              38\n            ]\n          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E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":743080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dahlin, Kenneth","contributorId":207182,"corporation":false,"usgs":false,"family":"Dahlin","given":"Kenneth","email":"","affiliations":[],"preferred":false,"id":743081,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davis, John M.","contributorId":177967,"corporation":false,"usgs":false,"family":"Davis","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743082,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jastrow, Aaron","contributorId":200067,"corporation":false,"usgs":false,"family":"Jastrow","given":"Aaron","affiliations":[],"preferred":false,"id":743083,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lazorchak, James M.","contributorId":14750,"corporation":false,"usgs":true,"family":"Lazorchak","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743084,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mills, Marc A.","contributorId":141085,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":743085,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Murphy, Mark","contributorId":207183,"corporation":false,"usgs":false,"family":"Murphy","given":"Mark","email":"","affiliations":[],"preferred":false,"id":743086,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nguyen, David","contributorId":207184,"corporation":false,"usgs":false,"family":"Nguyen","given":"David","email":"","affiliations":[],"preferred":false,"id":743087,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vajda, Alan M.","contributorId":179189,"corporation":false,"usgs":false,"family":"Vajda","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743088,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Villeneuve, Daniel L.","contributorId":32091,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":743089,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":742887,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Collette, Timothy W.","contributorId":15936,"corporation":false,"usgs":true,"family":"Collette","given":"Timothy W.","affiliations":[],"preferred":false,"id":743090,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70198352,"text":"70198352 - 2018 - Hydrothermal discharge from the El Tatio basin, Atacama, Chile","interactions":[],"lastModifiedDate":"2018-08-30T14:53:25","indexId":"70198352","displayToPublicDate":"2018-08-01T10:54:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Hydrothermal discharge from the El Tatio basin, Atacama, Chile","docAbstract":"<p><span>El Tatio in northern Chile is one of the best-studied geothermal fields in South America. However, there remain open questions about the mass and energy budgets, water recharge rates and residence time in the subsurface, origin of dissolved solutes, and processes affecting the phase and chemical composition of groundwater and surface water. We measured and sampled surface manifestations of the geothermal system (geysers perpetual spouters, mud pools/volcanoes, and non-eruptive hot springs) and meteoric water. From the isotopic composition we infer that the thermal water has a meteoric origin that is different from the composition of local meteoric water. The absence of detectable tritium in thermal waters indicates that most of the recharge occurred pre-1950. Boiling and steam separation from the deep reservoir appear to be the main subsurface processes affecting the thermal fluids. A large amount of heat is lost to the atmosphere by evaporation from surface water and by steam emitted from erupting geysers. Using the chloride inventory method, we estimate thermal water discharge to be 218 to 234 L/s, and the advective heat flow to be 120 to 170 MW.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.07.007","usgsCitation":"Munoz-Saez, C., Manga, M., and Hurwitz, S., 2018, Hydrothermal discharge from the El Tatio basin, Atacama, Chile: Journal of Volcanology and Geothermal Research, v. 361, p. 25-35, https://doi.org/10.1016/j.jvolgeores.2018.07.007.","productDescription":"11 p.","startPage":"25","endPage":"35","ipdsId":"IP-097644","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468544,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1479426","text":"Publisher Index Page"},{"id":356078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"El Tatio Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -68.035,\n              -22.3539\n            ],\n            [\n              -67.9919,\n              -22.3539\n            ],\n            [\n              -67.9919,\n              -22.3244\n            ],\n            [\n              -68.035,\n              -22.3244\n            ],\n            [\n              -68.035,\n              -22.3539\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"361","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3eee4b0f5d57878e93f","contributors":{"authors":[{"text":"Munoz-Saez, Carolina 0000-0003-3916-008X","orcid":"https://orcid.org/0000-0003-3916-008X","contributorId":206586,"corporation":false,"usgs":false,"family":"Munoz-Saez","given":"Carolina","email":"","affiliations":[{"id":37346,"text":"Universidad de Chile","active":true,"usgs":false}],"preferred":false,"id":741195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael","contributorId":199572,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[],"preferred":false,"id":741196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":741194,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199486,"text":"70199486 - 2018 - A new tool for studying waterfowl immune and metabolic responses: Molecular level analysis using kinome profiling","interactions":[],"lastModifiedDate":"2018-09-20T10:48:58","indexId":"70199486","displayToPublicDate":"2018-08-01T10:48:46","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A new tool for studying waterfowl immune and metabolic responses: Molecular level analysis using kinome profiling","docAbstract":"<p><span>Here, we describe the design of an&nbsp;</span><i>Anas‐</i><span>specific kinome peptide array that can be used to study the immunometabolic responses of mallard and American black duck to pathogens, contaminants, and environmental stress. The peptide arrays contain 2,642 unique phosphorylate‐able peptide sequences representing 1,900 proteins. These proteins cover a wide array of metabolic and immunological processes, and 758 Gene Ontology Biological processes are statistically significantly represented on the duck peptide array of those 164 contain the term “metabolic” and 25 “immune.” In addition, we conducted a comparison of mallard to American black duck at a genetic and proteomic level. Our results show a significant genomic and proteomic overlap between these two duck species, so that we have designed a cross‐reactive peptide array capable of studying both species. This is the first reported development of a wildlife species‐specific kinome peptide array.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4370","usgsCitation":"Pagano, G., Johnson, C., Hahn, C., and Arsenault, R.J., 2018, A new tool for studying waterfowl immune and metabolic responses: Molecular level analysis using kinome profiling: Ecology and Evolution, v. 8, no. 16, p. 8537-8546, https://doi.org/10.1002/ece3.4370.","productDescription":"10 p.","startPage":"8537","endPage":"8546","ipdsId":"IP-089573","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468545,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4370","text":"Publisher Index Page"},{"id":357541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"16","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-30","publicationStatus":"PW","scienceBaseUri":"5bc02fc1e4b0fc368eb5397b","contributors":{"authors":[{"text":"Pagano, Giovanni","contributorId":208001,"corporation":false,"usgs":false,"family":"Pagano","given":"Giovanni","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":745561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Casey","contributorId":208002,"corporation":false,"usgs":false,"family":"Johnson","given":"Casey","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":745562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hahn, Caldwell 0000-0002-5242-2059 chahn@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2059","contributorId":3203,"corporation":false,"usgs":true,"family":"Hahn","given":"Caldwell","email":"chahn@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":745559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arsenault, Ryan J. 0000-0002-4534-278X","orcid":"https://orcid.org/0000-0002-4534-278X","contributorId":208000,"corporation":false,"usgs":false,"family":"Arsenault","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":745560,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198760,"text":"70198760 - 2018 - Food web contaminant dynamics of a large Atlantic Slope river: Implications for common and imperiled species","interactions":[],"lastModifiedDate":"2018-08-20T10:46:54","indexId":"70198760","displayToPublicDate":"2018-08-01T10:43:57","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Food web contaminant dynamics of a large Atlantic Slope river: Implications for common and imperiled species","docAbstract":"Persistent and bioaccumulative contaminants often reach concentrations that threaten aquatic life by causing alterations in organism behavior and development, disruption of biological processes, reproductive abnormalities, and mortality. The objectives of this research were to determine the aquatic food web structure and trophic transfer and accumulation of contaminants within a riverine ecosystem and identify potential stressors to the health of an imperiled fish, the robust redhorse (Moxostoma robustum) and other species of conservation concern in a large Atlantic Slope (USA) river. Trophic position was determined for food web taxa by stable isotope analyses of representative producers, consumers, and organic matter of the Yadkin-Pee Dee River of North Carolina and South Carolina. Contaminant analyses were performed on water, sediment, organic matter, and aquatic biota to assess the prevalence and accumulation of polychlorinated biphenyls (PCBs), organochlorine pesticides (OCPs), current use pesticides (CUPs), polycyclic aromatic hydrocarbons (PAHs), and selected metals. Contaminants were prevalent in the environment and food web components of the river. PCBs were detected in 32% of biotic samples (mean 0.24 μg/g dry weight [DW], range 0.01–3.33 μg/g DW), and DDTs (legacy OCPs and metabolites) were detected in 90% (mean 0.014 μg/g DW, range 0.0004–0.29 μg/g DW). The trace metals manganese and cadmium exceeded published threshold effect concentrations in sediment (460 and 0.99 μg/g DW, respectively). Mercury was detected in all food web samples exhibiting a mean of 0.61 μg/g DW and range 0.006–2.35 μg/g DW (mean 0.13 μg/g wet weight [WW], range 0.001–0.6 μg/g WW). Concentrations exceeded the 0.2 μg/g WW aquatic life criterion for mercury in 38% of fish samples. Fish trophic magnification factors (TMFs; range 0.33–3.75) indicated that contaminant accumulation occurred from both water and dietary sources. The combination of analytical approaches applied here provides new insight into contaminant dynamics with conservation implications.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.03.251","usgsCitation":"Kwak, T.J., Penland, T.N., Grieshaber, C.A., Cope, W.G., Heise, R.J., and Sessions, F.W., 2018, Food web contaminant dynamics of a large Atlantic Slope river: Implications for common and imperiled species: Science of the Total Environment, v. 633, p. 1062-1077, https://doi.org/10.1016/j.scitotenv.2018.03.251.","productDescription":"16 p.","startPage":"1062","endPage":"1077","ipdsId":"IP-096497","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.03.251","text":"Publisher Index Page"},{"id":356621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"633","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a295e4b0702d0e842f71","contributors":{"authors":[{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":742878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penland, Tiffany N.","contributorId":207144,"corporation":false,"usgs":false,"family":"Penland","given":"Tiffany","email":"","middleInitial":"N.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":742879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grieshaber, Casey A.","contributorId":207145,"corporation":false,"usgs":false,"family":"Grieshaber","given":"Casey","email":"","middleInitial":"A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":742880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cope, W. Gregory","contributorId":207146,"corporation":false,"usgs":false,"family":"Cope","given":"W.","email":"","middleInitial":"Gregory","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":742881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heise, Ryan J.","contributorId":145789,"corporation":false,"usgs":false,"family":"Heise","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":16149,"text":"North Carolina Wildlife Resources Commission, 1003 Consolidated Rd., Elizabeth City, NC 27909","active":true,"usgs":false}],"preferred":false,"id":742882,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sessions, Forrest W.","contributorId":207147,"corporation":false,"usgs":false,"family":"Sessions","given":"Forrest","email":"","middleInitial":"W.","affiliations":[{"id":37460,"text":"South Carolina DNR","active":true,"usgs":false}],"preferred":false,"id":742883,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228742,"text":"70228742 - 2018 - Paleoclimate Records: Providing context and understanding of current Arctic change","interactions":[],"lastModifiedDate":"2022-02-18T17:15:28.160551","indexId":"70228742","displayToPublicDate":"2018-08-01T10:40:53","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10118,"text":"Bulletin American Meteorological Society","active":true,"publicationSubtype":{"id":10}},"title":"Paleoclimate Records: Providing context and understanding of current Arctic change","docAbstract":"At present, the Arctic Ocean is experiencing changes in ocean surface temperature and sea ice extent that are unprecedented in the era of satellite observations, which extend from the 1980s to the present (see sections 5c,d). To provide context for current changes, scientists turn to paleoclimate records to document and study anthropogenic influence and natural decadal and multidecadal climate variability in the Arctic system. Paleoceanographic records extend limited Arctic instrumental measurements back in time and are central to improving our understanding of climate dynamics and the predictive capability of climate models. By comparing paleoceanographic records with modern observations, scientists can place the rates and magnitudes of modern Arctic change in the context of those inferred from the geological record. \n\nOver geological time, paleoceanographic reconstructions using, for instance, marine sediment cores indicate that the Arctic has experienced huge sea ice fluctuations. These fluctuations range from nearly completely ice-free to totally ice-covered conditions. The appearance of ice-rafted debris and sea ice-dependent diatoms in Arctic marine sediments indicate that the first Arctic sea ice formed approxi-mately 47 million years ago (St. John 2008; Stickley et al. 2009; Fig. SB5.1), coincident with an interval of declining atmospheric carbon dioxide (CO2) concentration, global climate cooling, and expansion of Earths cryosphere during the middle Eocene. The development of year-round (i.e., perennial) sea ice in the central Arctic Ocean, similar to conditions that exist today, is evident in sediment records as early as 1418 million years ago (Darby 2008). These records suggest that transitions in sea ice cover occur over many millennia and often vary in concert with the waxing and waning of circum-Arctic land ice sheets, ice shelves, and long-term fluctuations in ocean and atmospheric temperature and atmospheric CO2 concentrations (Stein et al. 2012; Jakobsson et al. 2014). Over shorter time scales, shallow sediment records from Arctic Ocean continental shelves allow more detailed, higher-resolution (hundreds of years resolution) reconstructions of sea ice history extending through the Holocene (11 700 years ago to present), the most recent interglacial period.\nA notable feature of these records is an early Holocene sea ice minimum, corresponding to a thermal maximum (warm) period from 11 000 to 5000 years ago, when the Arctic may have been warmer and had less summertime sea ice than today (Kaufman et al. 2004). However, it is not clear that the Arctic was ice-free at any point during the Holocene (Polyak et al. 2010). High-resolution paleosea ice records from the western Arctic in the Chukchi and East Siberian Seas indicate that sea ice concentrations increased through the Holocene in concert with decreasing summer solar insolation (sunlight). Sea ice extent in this region also varied in response to the volume of Pacific water delivered via the Bering Strait into the Arctic Basin (Stein et al. 2017; Polyak et al. 2016). Records from the Fram Strait (Mller et al. 2012), Laptev Sea (Hrner et al. 2016), and Canadian Arctic Archipelago (Vare et al. 2009) also indicate a similar long-term expansion of sea ice and suggest sea ice extent in these regions is modulated by the varying influx of warm Atlantic water into the Arctic Basin (e.g., Werner et al. 2013). Taken together, available records support a circum-Arctic sea ice expansion during the late Holocene. \n\nA notably high-resolution summer sea ice history (<5-year resolution) has been established for the last 1450 years using a network of terrestrial records (tree ring , lake sediment, and ice core records) located around the margins of the Arctic Ocean (Kinnard et al. 2011). Results summarized in Fig. SB5.2 indicate a pronounced decline in summer sea ice extent beginning in the 20th century, with exceptionally low ice extent recorded since the mid-1990s, consistent with the satellite record (see section 5d). While several episodes of reduced and expanded sea ice extent occur in association with climate anomalies such as the Medieval Climate Warm Period (AD 8001300) and the Little Ice Age (AD 14501850), the magnitude and pace of the modern decline in sea ice is outside of the range of natural variability and unprecedented in the 1450-year reconstruction (Kinnard et al. 2011). A radiocarbon-dated driftwood record of the Ellesmere ice shelf in the Canadian High Arctic, the oldest landfast ice in the Northern Hemisphere, also demonstrates a substantial reduction in ice extents over the 20th century (England et al. 2017). A supporting sediment record indicates that inflowing Atlantic water in Fram Strait has warmed by 2C since 1900, driving break up and melt of sea ice (Spielhagen et al. 2011). Complementary mooring and satellite observations show the Atlantification of the eastern Arctic due to enhanced inflow of warm saline water through Fram Strait (Nilsen et al. 2016) and nutrient-rich Pacific water via the Bering has increased by more than 50% (Woodgate et al. 2012), further driving sea ice melt and warming seas. Similar high-resolution proxy records from Arctic regions also indicate that the modern rate of increasing annual surface air temperatures has not been observed over at least the last 2000 years (McKay and Kaufman 2014). Scientists conclude that broad-scale sea ice variations recorded in the paleo record were dominantly driven by changes in basin-scale changes in atmospheric circulation patterns, fluctuations in air temperature, strength of incoming solar radiation, and changes in the inflow of warm water via Pacific and Atlantic inflows (Polyak et al. 2010). \n\nThere is general consensus that ice-free Arctic summers are likely before the end of the 21st century (e.g., Stroeve et al. 2007; Massonnet et al. 2012), while some climate model projections suggest ice-free Arctic summers as early as 2030 (Wang and Overland 2009). Paleoclimate studies and observational time series attribute the decline in sea ice extent and thickness over the last decade to both enhanced greenhouse warming and natural climate variability. While understanding the interplay of these factors is critical for future projections of Arctic sea ice and ecosystems, most observational time series records cover only a few decades. This highlights the need for additional paleoceanographic reconstructions across multiple spatial and temporal domains to better understand the drivers and implications of present and future Arctic Ocean change.","language":"English","doi":"10.1175/2018BAMSStateoftheClimate.1","usgsCitation":"Osborne, E., Cronin, T.M., and Farmer, J., 2018, Paleoclimate Records: Providing context and understanding of current Arctic change: Bulletin American Meteorological Society, v. 99, no. 8, p. s150-s152, https://doi.org/10.1175/2018BAMSStateoftheClimate.1.","productDescription":"3 p.","startPage":"s150","endPage":"s152","ipdsId":"IP-098816","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":468548,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/2018bamsstateoftheclimate.1","text":"External Repository"},{"id":396176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Osborne, Emily","contributorId":279642,"corporation":false,"usgs":false,"family":"Osborne","given":"Emily","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":835253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":835254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farmer, Jesse","contributorId":279643,"corporation":false,"usgs":false,"family":"Farmer","given":"Jesse","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":835255,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199099,"text":"70199099 - 2018 - Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise","interactions":[],"lastModifiedDate":"2018-09-04T10:31:27","indexId":"70199099","displayToPublicDate":"2018-08-01T10:31:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise","docAbstract":"<p><span>Sea level rise (SLR) has the potential to exacerbate the impacts of extreme storm events on the coastal landscape. This study examines the coupled interactions of SLR on storm-driven hydrodynamics and barrier island morphology. A numerical model is used to simulate the hydrodynamic and morphodynamic impacts of two Gulf of Mexico hurricanes under present-day and future sea levels. SLR increased surge heights and caused overwash to occur at more locations and for longer durations. During surge recession, water level gradients resulted in seaward sediment transport. The duration of the seaward-directed water level gradients was altered under SLR; longer durations caused more seaward-directed cross-barrier transport and a larger net loss in the subaerial island volume due to increased sand deposition in the nearshore. Determining how SLR and the method of SLR implementation (static or dynamic) modulate storm-driven morphologic change is important for understanding and managing longer-term coastal evolution.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-018-2245-8","usgsCitation":"Passeri, D., Bilskie, M.V., Plant, N.G., Long, J., and Hagen, S.C., 2018, Dynamic modeling of barrier island response to hurricane storm surge under future sea level rise: Climatic Change, v. 149, no. 3-4, p. 413-425, https://doi.org/10.1007/s10584-018-2245-8.","productDescription":"13 p.","startPage":"413","endPage":"425","ipdsId":"IP-095725","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468549,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://link.springer.com/10.1007/s10584-018-2245-8","text":"External Repository"},{"id":357043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.35685729980469,\n              30.203300547277813\n            ],\n            [\n              -88.05816650390625,\n              30.203300547277813\n            ],\n            [\n              -88.05816650390625,\n              30.287531589298727\n            ],\n            [\n              -88.35685729980469,\n              30.287531589298727\n            ],\n            [\n              -88.35685729980469,\n              30.203300547277813\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"149","issue":"3-4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-12","publicationStatus":"PW","scienceBaseUri":"5b98a296e4b0702d0e842f75","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":744075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, Joseph W. 0000-0003-2912-1992","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":202183,"corporation":false,"usgs":true,"family":"Long","given":"Joseph W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":744077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":744078,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196978,"text":"70196978 - 2018 - A case study and a meta-analysis of seasonal variation in fish mercury concentrations","interactions":[],"lastModifiedDate":"2021-02-04T15:41:43.602161","indexId":"70196978","displayToPublicDate":"2018-08-01T09:31:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"A case study and a meta-analysis of seasonal variation in fish mercury concentrations","docAbstract":"<p><span>Mercury contamination in aquatic ecosystems is a concern due to health risks of consuming fish. Fish mercury concentrations are highly variable and influenced by a range of environmental factors. However, seasonal variation in mercury levels are typically overlooked when monitoring fish mercury concentrations, establishing consumption advisories, or creating accumulation models. Temporal variation in sampling could bias mercury concentration estimates of accumulation potential. Thus, the objectives of this study were to first evaluate seasonal variation of largemouth bass (</span><i>Micropterus salmoides</i><span>) axial muscle mercury concentration from two Iowa, USA impoundments. Second, we conducted a meta-analysis to evaluate if seasonal variation in mercury concentration is dependent upon mean mercury concentration, waterbody type, or fish trophic level or mean length. Largemouth bass were collected four times between May and October (24–36 fish per month) from Twelve Mile (2013) and Red Haw (2014) lakes. Largemouth bass axial muscle mercury concentrations were variable within and between lakes, ranging from undetectable ( &lt; 0.05 mg/kg) to 0.54 mg/kg. Largemouth bass mercury concentrations were similar across months in Twelve Mile but varied temporally in Red Haw and were highest in July, intermediate in May and September, and lowest during October. Results of the meta-analysis suggest that seasonal variation in mercury concentrations is more likely to occur as mean mercury concentration of the population increases but is unrelated to waterbody type, trophic status, and fish size. Understanding seasonal variation in fish mercury concentrations will aid in the development of standardized sampling programs for long-term monitoring programs and fish consumption advisories.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10646-018-1942-4","usgsCitation":"Mills, N., Cashatt, D., Weber, M., and Pierce, C., 2018, A case study and a meta-analysis of seasonal variation in fish mercury concentrations: Ecotoxicology, v. 27, p. 641-649, https://doi.org/10.1007/s10646-018-1942-4.","productDescription":"9 p.","startPage":"641","endPage":"649","ipdsId":"IP-088547","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487219,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/277","text":"External Repository"},{"id":382950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Red Haw Lake, Twelve Mile Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.85784530639647,\n              43.28295400639641\n            ],\n            [\n              -94.844970703125,\n              43.28295400639641\n            ],\n            [\n              -94.844970703125,\n              43.29329402211397\n            ],\n            [\n              -94.85784530639647,\n              43.29329402211397\n            ],\n            [\n              -94.85784530639647,\n              43.28295400639641\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.2830238342285,\n              40.98969788697535\n            ],\n            [\n              -93.26444149017334,\n              40.98969788697535\n            ],\n            [\n              -93.26444149017334,\n              41.00244356919737\n            ],\n            [\n              -93.2830238342285,\n              41.00244356919737\n            ],\n            [\n              -93.2830238342285,\n              40.98969788697535\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Mills, Nathan","contributorId":248785,"corporation":false,"usgs":false,"family":"Mills","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":809831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashatt, Darcy","contributorId":248786,"corporation":false,"usgs":false,"family":"Cashatt","given":"Darcy","email":"","affiliations":[],"preferred":false,"id":809832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weber, Michael","contributorId":213318,"corporation":false,"usgs":false,"family":"Weber","given":"Michael","affiliations":[],"preferred":false,"id":809833,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierce, Clay 0000-0001-5088-5431 cpierce@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":150492,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735166,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203197,"text":"70203197 - 2018 - Evaluating and managing environmental water regimes in a water-scarce and uncertain future","interactions":[],"lastModifiedDate":"2019-04-29T09:29:43","indexId":"70203197","displayToPublicDate":"2018-08-01T09:29:18","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating and managing environmental water regimes in a water-scarce and uncertain future","docAbstract":"<ol class=\"\"><li>While the number of environmental flows and water science programmes continues to grow across the globe, there remains a critical need to better balance water availability in support of human and ecological needs and to recognise the environment as a legitimate user of water. In water‐stressed areas, this recognition has resulted in friction between water users in the public and private sectors. An opportunity exists for practitioners to be on the forefront of the science determining best practices for supporting environmental water regimes.</li><li>This Special Issue brings together a collection of environmental flows science and water management papers organised around three major themes: (1) method development and testing; (2) application case studies; and (3) efficacy evaluation. Contents of this Special Issue are intended to foster collaboration and broaden transferability of the information, technical tools, models and methods needed to support environmental water management programmes.</li><li>The technical sophistication of methods and modelling tools, while important to the advancement of environmental water science, may come at the expense of easily interpretable outcomes that positively influence management decisions. Researchers need to be more proactive in translating the results of advanced modelling methodologies into user‐friendly tools and methods. This will allow stakeholders and water managers to proactively test alternative water allocation scenarios to help address growing human water demands in the face of droughts and changes in climatic patterns.</li><li>The application of environmental flows science and water management strategies cannot be done in isolation. Implementation involves a complex decision‐making process that integrates ecological, hydrologic and social science across diverse multifaceted governance systems and requires active stakeholder involvement. Scientists and managers must strengthen partnerships at multiple scales to develop sensible science investment strategies so that collective knowledge can be translated into wise environmental water management decisions.</li></ol>","language":"English","doi":"10.1111/fwb.13104","usgsCitation":"Kennen, J., Eric D. Stein, and J. Angus Webb, 2018, Evaluating and managing environmental water regimes in a water-scarce and uncertain future: Freshwater Biology, v. 63, no. 8, p. 733-737, https://doi.org/10.1111/fwb.13104.","productDescription":"5 p.","startPage":"733","endPage":"737","ipdsId":"IP-091887","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":490055,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11343/284321","text":"External Repository"},{"id":363290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kennen, Jonathan 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":215088,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eric D. Stein","contributorId":215089,"corporation":false,"usgs":false,"family":"Eric D. Stein","affiliations":[{"id":39174,"text":"Southern California Coastal Water Research Project, 3535 Harbor Blvd., Suite 110, Costa Mesa, CA  92626-1437, United States","active":true,"usgs":false}],"preferred":false,"id":761599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"J. Angus Webb","contributorId":215090,"corporation":false,"usgs":false,"family":"J. Angus Webb","affiliations":[{"id":39175,"text":"The University of Melbourne, Department of Infrastructure Engineering, Parkville 3010, Australia","active":true,"usgs":false}],"preferred":false,"id":761600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198868,"text":"70198868 - 2018 - Quantifying population-level effects of water temperature, flow velocity and chemical-induced reproduction depression: A simulation study with smallmouth bass","interactions":[],"lastModifiedDate":"2018-08-22T08:53:46","indexId":"70198868","displayToPublicDate":"2018-08-01T08:50:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying population-level effects of water temperature, flow velocity and chemical-induced reproduction depression: A simulation study with smallmouth bass","docAbstract":"Evaluating stochastic abiotic factors and their combined effects on fish and wildlife populations have been challenging in environmental sciences. Contributing to this challenge is the paucity of data describing how observations made on individuals related to exposure to chemical compounds ultimately effect population vital rates, and how this exposure interacts with other abiotic drivers. Using three smallmouth bass populations in Pennsylvania as a case study, we explored both single-factor and combined effects of water temperature, flow velocity and chemical exposure on populations through a model simulation. Although there are many pathways through which chemicals can affect population vital rates, we focused on one where chemical exposure leads to reduced reproduction. Among the three populations considered, two (the Juniata and Susquehanna populations) have experienced adverse health, including the potential adverse effects of environmental stress and chemical contamination that may cause disease and mortality of young-of-year (YOY), various skin lesions and a high prevalence of intersex or testicular oocytes in adults. The third population (The Alleghany population) has not encountered mortality events of YOY and intersex prevalence is much lower. The simulation involved projecting populations using a length-based model under different environmental conditions. In the simulations, abiotic factors influenced population dynamics through their impacts on growth, survival and recruitment. Response to the same environmental stress varied by population and life-stage of the species. Factors affecting young adult and adult life-stages had great influence on proportional stock density (PSD) and the probability of having PSD within the suggested range (PSD probability). Increases in water temperature had a negative effect and dominant role in the combined effect on population size structure (e.g., PSD and PSD probability) – increases in flow velocity during the spring season also had a negative effect on abundance. Populations with high recruitment rates sustained relatively large population size, even under high water temperature and/or high flow velocity, which suggests that factors and management strategies that benefit recruitment (such as reduced chemical contaminants) may compensate for the negative effects of warming water temperatures and high spring flow velocity on population size.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.06.015","usgsCitation":"Wagner, T., Blazer, V., and Li, Y., 2018, Quantifying population-level effects of water temperature, flow velocity and chemical-induced reproduction depression: A simulation study with smallmouth bass: Ecological Modelling, v. 384, p. 63-74, https://doi.org/10.1016/j.ecolmodel.2018.06.015.","productDescription":"12 p.","startPage":"63","endPage":"74","ipdsId":"IP-090125","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":356687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"384","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a296e4b0702d0e842f79","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":743181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":743182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Yan","contributorId":207211,"corporation":false,"usgs":false,"family":"Li","given":"Yan","email":"","affiliations":[{"id":37478,"text":"North Carolinz Division of Marine Fisheries","active":true,"usgs":false}],"preferred":false,"id":743183,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263863,"text":"70263863 - 2018 - High resolution measurement of levee subsidence related to energy infrastructure in the Sacramento-San Joaquin Delta","interactions":[],"lastModifiedDate":"2025-02-27T14:40:13.489367","indexId":"70263863","displayToPublicDate":"2018-08-01T08:26:40","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesNumber":"CCCA4-CEC-2018-003","title":"High resolution measurement of levee subsidence related to energy infrastructure in the Sacramento-San Joaquin Delta","docAbstract":"<p>We assess flood overtopping potential (when flood water elevation exceeds levee elevation) to the levees surrounding the islands in the interior of California's Sacramento-San Joaquin Delta. Because critical natural gas infrastructure is susceptible to overtopping-related disruption, we focus our analysis on regions that are crossed by the network of the state's natural gas pipelines. We use laser scanning data collected during 2015-2016 to estimate subsidence rates since 2007 when an earlier, Delta-wide, airborne laser-scanning topographic dataset was collected. For each levee studied, we combine: (1) the estimated subsidence rate, (2) a conservative range of sea-level rise projections and, (3) an estimate of the 100-year freshwater flood stage to project the time until exceedance of the federal levee height standard (PL84-99). We find that subsidence rates vary from 0-5 centimeters per year (cm/yr) with mean values of ~1-2 cm/year. Local gradients in subsidence can be on the order of cms/yr over a distance of 10s of meters parallel to the levee crests, and these types of gradients are present near some pipeline crossings. The Sherman Island region has subsidence rates close to a factor of 2 greater than other areas considered. Our projections indicate general ranges of exceedance date from about 2060 (fast sea-level rise scenario) to 2080 (slow sea-level rise scenario) with some places projected to exceed threshold by about 2050. </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"California’s fourth climate change assessment","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"California Energy Commission","usgsCitation":"Brooks, B.A., Telling, J., Ericksen, T., Glennie, C.L., Knowles, N., Cayan, D., Hauser, D.L., and LeWinter, A., 2018, High resolution measurement of levee subsidence related to energy infrastructure in the Sacramento-San Joaquin Delta, vii, 51 p.","productDescription":"vii, 51 p.","ipdsId":"IP-097844","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482492,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://climateassessment.ca.gov/techreports/full-list.html","linkFileType":{"id":5,"text":"html"}},{"id":482552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.25,\n              38.375\n            ],\n            [\n              -122.1,\n              38.375\n            ],\n            [\n              -122.1,\n              37.75\n            ],\n            [\n              -121.25,\n              37.75\n            ],\n            [\n              -121.25,\n              38.375\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Telling, Jennifer","contributorId":351507,"corporation":false,"usgs":false,"family":"Telling","given":"Jennifer","affiliations":[{"id":36391,"text":"University of Houston","active":true,"usgs":false}],"preferred":false,"id":928740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ericksen, Todd Leroy 0000-0001-9340-575X","orcid":"https://orcid.org/0000-0001-9340-575X","contributorId":351508,"corporation":false,"usgs":false,"family":"Ericksen","given":"Todd Leroy","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glennie, Craig L.","contributorId":198143,"corporation":false,"usgs":false,"family":"Glennie","given":"Craig","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":928742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knowles, Noah 0000-0001-5652-1049","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":206338,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":928743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cayan, Daniel","contributorId":213044,"corporation":false,"usgs":false,"family":"Cayan","given":"Daniel","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":928744,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hauser, Darren L.","contributorId":202340,"corporation":false,"usgs":false,"family":"Hauser","given":"Darren","email":"","middleInitial":"L.","affiliations":[{"id":36391,"text":"University of Houston","active":true,"usgs":false}],"preferred":false,"id":928745,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LeWinter, Adam","contributorId":192072,"corporation":false,"usgs":false,"family":"LeWinter","given":"Adam","affiliations":[],"preferred":false,"id":928746,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70237370,"text":"70237370 - 2018 - Patterns and magnitude of flow alteration in California, USA","interactions":[],"lastModifiedDate":"2022-10-12T13:19:00.957201","indexId":"70237370","displayToPublicDate":"2018-08-01T08:14:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Patterns and magnitude of flow alteration in California, USA","docAbstract":"<ol class=\"\"><li>Quantifying the natural flow regime is essential for management of water resources and conservation of aquatic ecosystems. Understanding the degree to which anthropogenic activities have altered flows is critical for developing effective conservation strategies. Assessing flow alteration requires estimates of flows expected in the absence of human influence and under current land use and water management.</li><li>There are several techniques to predict flows in streams and rivers; however, none have been applied to make predictions of natural flow conditions over large regions and time periods. We utilised machine learning statistical models to predict natural monthly flows (natural streamflows without the influence of water management or anthropogenic land use) in California from 1950 to 2015, using time-dependent and fixed watershed variables from reference stream gages. These models were then used to make estimates of mean, maximum and minimum monthly flows in all streams in the state.</li><li>We compared observed flows measured at 540 stream gages across the state with expected natural flows at the same locations, to quantify the type, frequency and magnitude of flow alteration over the past 20&nbsp;years (1996–2015). A gage was considered altered if an observed flow metric (monthly mean, annual maximum, annual minimum) fell outside the 80% prediction interval of the modelled flow estimate.</li><li>We found that 95% of the 540 stream gages in California had at least 1&nbsp;month of altered flows over the past 20&nbsp;years, and 11% of gages were frequently altered (over two-thirds of the months recorded had evidence of altered flows). The type of alteration varied across the state with flows being either depleted, inflated or a mix of both at different times of the year. Most altered gages (68%) exhibited both depletion and inflation in monthly flows over the time period. Inflation of monthly mean flows was most prevalent during the summer months, while depletion of monthly flows was evident throughout the year.</li><li>Type, frequency and magnitude of flow alteration varied by region. Flow depletion was present at &gt;80% of gages in the North Coast and Central Coast, flow inflation was measured at &gt;80% of gages in the South Coast and San Francisco Bay and both depletion and inflation were evident at &gt;80% of gages in the Sacramento River and San Joaquin and Tulare regions. Annual maximum flows were consistently depleted and annual minimum flows were commonly inflated in the Sierra Nevada and Central Valley (Sacramento River and San Joaquin and Tulare regions). This is the first study to comprehensively assess flow alteration at stream gages across California. Understanding the patterns and degree of alteration can aid in prioritising streams for environmental flow assessment and developing conservation strategies for native freshwater biota.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13058","usgsCitation":"Zimmerman, J., Carlisle, D.M., May, J., Klausmeyer, K., Grantham, T., Brown, L.R., and Howard, J.K., 2018, Patterns and magnitude of flow alteration in California, USA: Freshwater Biology, v. 63, no. 8, p. 859-873, https://doi.org/10.1111/fwb.13058.","productDescription":"15 p.","startPage":"859","endPage":"873","ipdsId":"IP-084871","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468553,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.13058","text":"Publisher Index Page"},{"id":408207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"63","issue":"8","noUsgsAuthors":false,"publicationDate":"2017-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmerman, Julie","contributorId":190163,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Julie","affiliations":[],"preferred":false,"id":854288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","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":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":854289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Jason 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":152477,"corporation":false,"usgs":true,"family":"May","given":"Jason","email":"jasonmay@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":854290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klausmeyer, Kirk","contributorId":297484,"corporation":false,"usgs":false,"family":"Klausmeyer","given":"Kirk","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":854292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grantham, Theodore E.","contributorId":198855,"corporation":false,"usgs":false,"family":"Grantham","given":"Theodore E.","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":854294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":854293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Howard, Jeanette K.","contributorId":176714,"corporation":false,"usgs":false,"family":"Howard","given":"Jeanette","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":854291,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70199006,"text":"70199006 - 2018 - Impacts of hatchery-reared mandarin fish Siniperca chuatsi stocking on wild fish community and water quality in a shallow Yangtze lake","interactions":[],"lastModifiedDate":"2018-08-29T15:35:44","indexId":"70199006","displayToPublicDate":"2018-07-31T15:35:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Impacts of hatchery-reared mandarin fish <i>Siniperca chuatsi</i> stocking on wild fish community and water quality in a shallow Yangtze lake","title":"Impacts of hatchery-reared mandarin fish Siniperca chuatsi stocking on wild fish community and water quality in a shallow Yangtze lake","docAbstract":"<p><span>Mandarin fish&nbsp;</span><i>Siniperca chuatsi</i><span>, a valuable piscivorous fish, have been stocked into many lakes in China since the 1990s. This study did the first attempt to evaluate the ecological effects of hatchery-reared mandarin fish stocking in the Yangtze River basin lakes. Our study demonstrated a significant change in fish community composition after mandarin fish stocking, but no fish extinction was observed. No significant difference was observed in the total density of 13 forage fish before and after mandarin fish stocking, but the total biomass showed a significant decline after mandarin fish stocking. Significant differences in length-frequency distributions were observed for&nbsp;</span><i>Carassius auratus</i><span>,&nbsp;</span><i>Pseudorasbora parva</i><span>&nbsp;and&nbsp;</span><i>Toxabramis swinhonis</i><span>&nbsp;captured before and after stocking mandarin fish. No significant change in habitat distribution was detected before and after mandarin fish stocking. A marked decline in total nitrogen and a slight decline in total phosphorus were observed while a slight increasing trend for Secchi depth was found after stocking. Our findings suggested that mandarin fish stocking can increase predation pressure on forage fish and subsequently optimize the food web structure. Also, mandarin fish stocking has the potential to improve water quality and may be a feasible strategy to alleviate eutrophication of shallow Yangtze lakes.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-018-29758-z","usgsCitation":"Li, W., Hicks, B.J., Lin, M., Guo, C., Zhang, T., Liu, J., Li, Z., and Beauchamp, D.A., 2018, Impacts of hatchery-reared mandarin fish Siniperca chuatsi stocking on wild fish community and water quality in a shallow Yangtze lake: Scientific Reports, v. 8, p. 1-11, https://doi.org/10.1038/s41598-018-29758-z.","productDescription":"Article number: 11481; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-101180","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468555,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-29758-z","text":"Publisher Index Page"},{"id":356930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Biandantang Lake","volume":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","scienceBaseUri":"5b98a297e4b0702d0e842f7f","contributors":{"authors":[{"text":"Li, Wei","contributorId":22894,"corporation":false,"usgs":true,"family":"Li","given":"Wei","email":"","affiliations":[],"preferred":false,"id":743742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hicks, Brendan J.","contributorId":207402,"corporation":false,"usgs":false,"family":"Hicks","given":"Brendan","email":"","middleInitial":"J.","affiliations":[{"id":37532,"text":"Centre for Biodiversity and Ecology Research, Department of Biological Sciences, Faculty of Science and Engineering, The University of Waikato, Hamilton, New Zealand","active":true,"usgs":false}],"preferred":false,"id":743743,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lin, Mingli","contributorId":207403,"corporation":false,"usgs":false,"family":"Lin","given":"Mingli","email":"","affiliations":[{"id":37533,"text":"State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China","active":true,"usgs":false}],"preferred":false,"id":743744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guo, Chuanbo","contributorId":207404,"corporation":false,"usgs":false,"family":"Guo","given":"Chuanbo","email":"","affiliations":[{"id":37533,"text":"State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China","active":true,"usgs":false}],"preferred":false,"id":743745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Tanglin","contributorId":207405,"corporation":false,"usgs":false,"family":"Zhang","given":"Tanglin","email":"","affiliations":[{"id":37533,"text":"State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China","active":true,"usgs":false}],"preferred":false,"id":743746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Jiashou","contributorId":169468,"corporation":false,"usgs":false,"family":"Liu","given":"Jiashou","email":"","affiliations":[{"id":25520,"text":"Institute of Hydrobiology, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":743747,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Zhongjie","contributorId":177557,"corporation":false,"usgs":false,"family":"Li","given":"Zhongjie","email":"","affiliations":[],"preferred":false,"id":743748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":743749,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70198098,"text":"sir20185094 - 2018 - Flow hydraulics and mixing characteristics in and downstream from Brandon Road Lock, Joliet, Illinois","interactions":[],"lastModifiedDate":"2018-08-07T10:31:32","indexId":"sir20185094","displayToPublicDate":"2018-07-31T15:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5094","title":"Flow hydraulics and mixing characteristics in and downstream from Brandon Road Lock, Joliet, Illinois","docAbstract":"<p>The Brandon Road Lock and Dam on the Des Plaines River near Joliet, Illinois, has been identified for potential implementation of aquatic nuisance species (ANS) control measures. To provide additional information concerning the flow hydraulics and mixing characteristics of the lock and downstream approach channel, the U.S. Geological Survey performed a detailed study of the site between December 2014 and October 2015, which included the collection and analysis of bathymetric, hydrodynamic, and dye tracer data. Synthesis of these data allowed a characterization of the site for future use in feasibility studies of potential ANS control technologies. The results of this study show a highly dynamic system driven primarily by lock operations but influenced by channel characteristics, industrial withdrawals, and meteorological forcing. Lock operation produces rapidly varying flows in the downstream approach channel, including transient oscillations that produce bidirectional flows. When the lock is not in operation, flows in the approach channel are primarily driven by leakage and wind forcing. Uniform concentrations of dissolved constituents in the lock chamber can be achieved by injection of the constituent into the existing lock filling and emptying system; however, valve and gate leakage can inhibit the mixing at the downstream end of the lock and substantially affects the ability to maintain a treated lock chamber at a uniform target concentration at tailwater level. Proper understanding of these hydraulic factors should be accounted for if the lock is to be used to deliver any dissolved constituent or operated in a way to prevent upstream passage of floating ANS. Moreover, extremely variable flow conditions including bidirectional flows and upstream return flows must be considered when implementing any ANS control technologies in the approach channel.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185094","collaboration":"Prepared in cooperation with the Great Lakes Restoration Initiative","usgsCitation":"Engel, F.L., Jackson, P.R., and Murphy, E.A., 2018, Flow hydraulics and mixing characteristics in and downstream from Brandon Road Lock, Joliet, Illinois: U.S. Geological Survey Scientific Investigations Report 2018–5094, 32 p., https://doi.org/10.3133/sir20185094.","productDescription":"Report: vii, 32 p.; 8 Data Releases","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-091674","costCenters":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":437814,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K935SH","text":"USGS data release","linkHelpText":"Multibeam bathymetry and sediment depth data at select locations on the Des Plaines River near Joliet, Illinois, February 1314, 2017"},{"id":437813,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7S180NN","text":"USGS data release","linkHelpText":"Miscellaneous flow discharge measurements collected downstream of Brandon Road Lock and Dam"},{"id":437812,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73F4MRV","text":"USGS data release","linkHelpText":"Bathymetric survey of the Brandon Road Dam Spillway, Joliet, Illinois"},{"id":437811,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74747Z7","text":"USGS data release","linkHelpText":"Rhodamine WT dye concentrations measured at fixed locations in the Des Plaines River near Brandon Road Lock and Dam near Rockdale, Illinois (October 20-21,2015)"},{"id":437810,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70G3H8C","text":"USGS data release","linkHelpText":"Spatial distribution of Rhodamine WT dye concentration measured in the Des Plaines River near Brandon Road Lock and Dam near Rockdale, Illinois (October 20-21, 2015)"},{"id":437809,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77W69B7","text":"USGS data release","linkHelpText":"Rhodamine WT dye concentration profiles measured at fixed stations in the Brandon Road Lock chamber near Rockdale, Illinois (October 20, 2015)"},{"id":437808,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VQ30S2","text":"USGS data release","linkHelpText":"Water surface elevation in the Brandon Road Lock chamber near Rockdale, Illinois (October 19-21, 2015)"},{"id":355952,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F70G3H8C","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Spatial distribution of Rhodamine WT dye concentration measured in the Des Plaines River near Brandon Road Lock and Dam near Rockdale, Illinois (October 20–21, 2015) "},{"id":355948,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P26X39","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Acoustic Doppler current profiler velocity and discharge measurements collected in and near the lock chamber of Brandon Road Lock and Dam, Joliet, Illinois, USA in December 2014 "},{"id":355949,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F73F4MRV","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Bathymetric survey of the Brandon Road Dam Spillway, Joliet, Illinois"},{"id":355950,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F77W69B7","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Rhodamine WT dye concentration profiles measured at fixed stations in the Brandon Road Lock chamber near Rockdale, Illinois (October 20, 2015)"},{"id":355953,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7VQ30S2","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water surface elevation in the Brandon Road Lock chamber near Rockdale, Illinois (October 19–21, 2015)"},{"id":355944,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5094/coverthb.jpg"},{"id":355945,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5094/sir20185094.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5094"},{"id":355946,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K935SH ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Multibeam bathymetry and sediment depth data at select locations on the Des Plaines River near Joliet, Illinois, February 13–14, 2017"},{"id":355947,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7S180NN","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Miscellaneous flow discharge measurements collected downstream of Brandon Road Lock and Dam"},{"id":355951,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F74747Z7","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Rhodamine WT dye concentrations measured at fixed locations in the Des Plaines River near Brandon Road Lock and Dam near Rockdale, Illinois (October 20–21, 2015)"}],"country":"United States","state":"Illinois","city":"Joliet","otherGeospatial":"Brandon Road Lock","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.3333,\n              41.37474755643594\n            ],\n            [\n              -88.03276062011719,\n              41.37474755643594\n            ],\n            [\n              -88.03276062011719,\n              41.6333\n            ],\n            [\n              -88.3333,\n              41.6333\n            ],\n            [\n              -88.3333,\n              41.37474755643594\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://mail.google.com/mail/?view=cm&amp;fs=1&amp;tf=1&amp;to=%20dc_il@usgs.gov\" target=\"_blank\" data-mce-href=\"mailto: dc_il@usgs.gov\">Director</a>,&nbsp;<a href=\"https://il.water.usgs.gov/\" data-mce-href=\"https://il.water.usgs.gov\">Central Midwest Water Science Center&nbsp;</a><br>U.S. Geological Survey<br>405 N. Goodwin Ave.&nbsp;<br>Urbana, Illinois 61801</p>","tableOfContents":"<ul><li>Acknowledgments<br></li><li>Abstract<br></li><li>Introduction<br></li><li>Methods of Data Collection and Data Analysis<br></li><li>Flow Hydraulics and Mixing Characteristics<br></li><li>Implications for Aquatic Nuisance Species Control<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2018-07-31","noUsgsAuthors":false,"publicationDate":"2018-07-31","publicationStatus":"PW","scienceBaseUri":"5b6fc3efe4b0f5d57878e943","contributors":{"authors":[{"text":"Engel, Frank L. 0000-0002-4253-2625 fengel@usgs.gov","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":5463,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","email":"fengel@usgs.gov","middleInitial":"L.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Elizabeth A. 0000-0002-8939-7678 emurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-8939-7678","contributorId":196368,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth","email":"emurphy@usgs.gov","middleInitial":"A.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":740016,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198345,"text":"70198345 - 2018 - What can trees tell us about the air we breathe at home?","interactions":[],"lastModifiedDate":"2018-07-31T13:32:36","indexId":"70198345","displayToPublicDate":"2018-07-31T13:32:37","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5723,"text":"Science Journal for Kids","active":true,"publicationSubtype":{"id":10}},"title":"What can trees tell us about the air we breathe at home?","docAbstract":"The air in houses can be affected by bad stuff, called contaminants. Sometimes harmful chemicals enter the air in buildings from nearby contaminated soil and groundwater through cracks or gaps in the foundation – a process known as vapor intrusion. This poses some risk to our health because we spend so much of our time indoors. Currently it’s difficult and expensive to figure out if vapor intrusion is happening. That’s why we wanted to see if trees can serve as indicators for vapor intrusion. We collected samples from 109 trees in a contaminated area in a Nebraska town and\nanalyzed them for tetrachloroethene (PCE), a chemical used mostly as a cleaner and to make other chemicals. When comparing our results with the data the U.S. Environmental Protection Agency (EPA) had collected, we found that trees are good indicators of vapor intrusion.","language":"English","publisher":"Science Journal for Kids","usgsCitation":"Wilson, J.L., Samaranayake, V., Limmer, M.A., and Burken, J., 2018, What can trees tell us about the air we breathe at home?: Science Journal for Kids, v. July 2018, 4 p.","productDescription":"4 p.","ipdsId":"IP-097738","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":356058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356048,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencejournalforkids.org/science-articles/what-can-tree-tell-us-about-the-air-we-breathe-at-home"}],"volume":"July 2018","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc3efe4b0f5d57878e945","contributors":{"authors":[{"text":"Wilson, Jordan L. 0000-0003-0490-9062 jlwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-0490-9062","contributorId":5416,"corporation":false,"usgs":true,"family":"Wilson","given":"Jordan","email":"jlwilson@usgs.gov","middleInitial":"L.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samaranayake, V.A.","contributorId":200928,"corporation":false,"usgs":false,"family":"Samaranayake","given":"V.A.","affiliations":[],"preferred":false,"id":741169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Limmer, Matthew A.","contributorId":200927,"corporation":false,"usgs":false,"family":"Limmer","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":741171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burken, Joel","contributorId":200929,"corporation":false,"usgs":false,"family":"Burken","given":"Joel","affiliations":[],"preferred":false,"id":741170,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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