{"pageNumber":"1187","pageRowStart":"29650","pageSize":"25","recordCount":184937,"records":[{"id":70159614,"text":"70159614 - 2015 - Mercury concentrations of bluegill (Lepomis macrochirus) vary by sex","interactions":[],"lastModifiedDate":"2018-08-10T09:55:39","indexId":"70159614","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5021,"text":"Environments","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mercury concentrations of bluegill (Lepomis macrochirus) vary by sex","title":"Mercury concentrations of bluegill (Lepomis macrochirus) vary by sex","docAbstract":"

Patterns in relative differences in contaminant concentrations between the sexes across many species of fish may reveal clues for important behavioral and physiological differences between the sexes, and may also be useful in developing fish consumption advisories and efficient designs for programs meant to monitor contaminant levels in fish. We determined skin-off fillet and whole-fish total mercury (Hg) concentrations of 28 adult female and 26 adult male bluegills (Lepomis macrochirus) from Squaw Lake, Oakland County, Michigan (MI), USA. Bioenergetics modeling was used to quantify the effect of growth dilution on the difference in Hg concentrations between the sexes. On average, skin-off fillet and whole-fish Hg concentrations were 25.4% higher and 26.6% higher, respectively, in females compared with males. Thus, the relative difference in Hg concentrations between the sexes for skin-off fillets was nearly identical to that for whole fish. However, mean skin-off fillet Hg concentration (363 ng/g) was 2.3 times greater than mean whole-fish Hg concentration (155 ng/g). Males grew substantially faster than females, and bioenergetics modeling results indicated that the growth dilution effect could account for females having 14.4% higher Hg concentrations than males. Our findings should be useful in revising fish consumption advisories.

","language":"English","publisher":"Faculty of Environmental Studies, University of Waterloo","publisherLocation":"Waterloo, Ontario","doi":"10.3390/environments2040546","usgsCitation":"Madenjian, C.P., Francis, J.T., Braunscheidel, J.J., Bohr, J.R., Geiger, M.J., and Knottnerus, G.M., 2015, Mercury concentrations of bluegill (Lepomis macrochirus) vary by sex: Environments, v. 2, no. 4, p. 546-564, https://doi.org/10.3390/environments2040546.","productDescription":"19 p.","startPage":"546","endPage":"564","numberOfPages":"19","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068776","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":471524,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/environments2040546","text":"Publisher Index Page"},{"id":323873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-11","publicationStatus":"PW","scienceBaseUri":"57651f37e4b07657d19c78ce","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":579720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Francis, James T.","contributorId":81826,"corporation":false,"usgs":true,"family":"Francis","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":579721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braunscheidel, Jeffrey J.","contributorId":149834,"corporation":false,"usgs":false,"family":"Braunscheidel","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[{"id":7024,"text":"Michigan Department of Natural Resources, Fisheries Research Station","active":true,"usgs":false}],"preferred":false,"id":579722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohr, Joseph R.","contributorId":149835,"corporation":false,"usgs":false,"family":"Bohr","given":"Joseph","email":"","middleInitial":"R.","affiliations":[{"id":17835,"text":"Michigan Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":579723,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geiger, Matthew J.","contributorId":149836,"corporation":false,"usgs":false,"family":"Geiger","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":17836,"text":"Michigan Department of Health and Human Services","active":true,"usgs":false}],"preferred":false,"id":579724,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knottnerus, G. Mark","contributorId":149837,"corporation":false,"usgs":false,"family":"Knottnerus","given":"G.","email":"","middleInitial":"Mark","affiliations":[{"id":17836,"text":"Michigan Department of Health and Human Services","active":true,"usgs":false}],"preferred":false,"id":579725,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159513,"text":"ofr20131280I - 2015 - Mineral potential tracts for polymetallic Pb-Zn-Cu vein deposits (phase V, deliverable 71): Chapter I in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","interactions":[{"subject":{"id":70159513,"text":"ofr20131280I - 2015 - Mineral potential tracts for polymetallic Pb-Zn-Cu vein deposits (phase V, deliverable 71): Chapter I in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","indexId":"ofr20131280I","publicationYear":"2015","noYear":false,"chapter":"I","title":"Mineral potential tracts for polymetallic Pb-Zn-Cu vein deposits (phase V, deliverable 71): Chapter I in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"id":1}],"isPartOf":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V","indexId":"ofr20131280","publicationYear":"2015","noYear":false,"title":"Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase V"},"lastModifiedDate":"2016-03-16T11:14:09","indexId":"ofr20131280I","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1280","chapter":"I","title":"Mineral potential tracts for polymetallic Pb-Zn-Cu vein deposits (phase V, deliverable 71): Chapter I in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","docAbstract":"

In Mauritania, mineral occurrences of the polymetallic Pb-Zn-Cu vein deposit type are found near the Florence-El Khdar shear zone in northeast Mauritania. The deposits visited were deemed representative of other similar occurrences and consist of quartz veins with trace sulfides. The low sulfide and Pb-Zn-Cu content in the quartz veins is unlike producing polymetallic Pb-Zn-Cu vein deposits, such that the veins are not considered to belong to this deposit type. Mineral potential tracts for polymetallic Pb-ZnCu veins are highly speculative considering the lack of known mineralization belonging to this deposit type. Mineral potential tracts for polymetallic Pb-Zn-Cu veins are associated with and surround major shear zones in the Rgueïbat Shield and zones of complex faulting in the southern Mauritanides, at the exclusion of the imbricated thrust faults that are not considered favorable for this deposit type. No skarn and replacement deposits have been documented in Mauritania and the low mineral potential is indicated by lack of causative Mesozoic and Cenozoic mafic to felsic stocks.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II) (Open File Report 2013-1280)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280I","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Beaudoin, G., 2015, Mineral potential tracts for polymetallic Pb-Zn-Cu vein deposits (phase V, deliverable 71): Chapter I in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II): U.S. Geological Survey Open-File Report 2013-1280, vi, 10 p., https://doi.org/10.3133/ofr20131280I.","productDescription":"vi, 10 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052708","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":318902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131280I.PNG"},{"id":318750,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/publication/ofr20131280"},{"id":318901,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1280/Final_Reports_English/deliverable_71-Polymetallic_vein-chapter_I.pdf","text":"Chapter I"}],"country":"Mauritania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-12.17075,14.61683],[-12.83066,15.30369],[-13.43574,16.03938],[-14.09952,16.3043],[-14.57735,16.59826],[-15.13574,16.58728],[-15.62367,16.36934],[-16.12069,16.45566],[-16.4631,16.13504],[-16.54971,16.67389],[-16.27055,17.16696],[-16.14635,18.10848],[-16.25688,19.09672],[-16.37765,19.59382],[-16.27784,20.09252],[-16.53632,20.56787],[-17.06342,20.99975],[-16.84519,21.33332],[-12.9291,21.32707],[-13.11875,22.77122],[-12.87422,23.28483],[-11.93722,23.37459],[-11.96942,25.93335],[-8.68729,25.88106],[-8.6844,27.39574],[-4.92334,24.97457],[-6.45379,24.95659],[-5.97113,20.64083],[-5.48852,16.3251],[-5.31528,16.20185],[-5.53774,15.50169],[-9.55024,15.4865],[-9.70026,15.26411],[-10.08685,15.33049],[-10.65079,15.13275],[-11.3491,15.41126],[-11.66608,15.38821],[-11.83421,14.7991],[-12.17075,14.61683]]]},\"properties\":{\"name\":\"Mauritania\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56ea83b1e4b0f59b85d90d01","contributors":{"authors":[{"text":"Beaudoin, Georges","contributorId":149747,"corporation":false,"usgs":false,"family":"Beaudoin","given":"Georges","email":"","affiliations":[{"id":17811,"text":"Département de Géologie et de Génie Géologique, 1065 avenue de la Médecine, Québec Canada","active":true,"usgs":false}],"preferred":false,"id":622308,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159744,"text":"70159744 - 2015 - U.S. States and Territories National Tsunami Hazard Assessment: Historical record and sources for waves – Update","interactions":[],"lastModifiedDate":"2019-08-09T11:19:14","indexId":"70159744","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"U.S. States and Territories National Tsunami Hazard Assessment: Historical record and sources for waves – Update","docAbstract":"

The first U.S. Tsunami Hazard Assessment (Dunbar and Weaver, 2008) was prepared at the request of the National Tsunami Hazard Mitigation Program (NTHMP). The NTHMP is a partnership formed between federal and state agencies to reduce the impact of tsunamis through hazard assessment, warning guidance, and mitigation. The assessment was conducted in response to a 2005 joint report by the Sub-Committee on Disaster Reduction and the U.S. Group on Earth Observations entitled Tsunami Risk Reduction for the United States: A Framework for Action. The first specific action called for in the Framework was to “develop standardized and coordinated tsunami hazard and risk assessments for all coastal regions of the United States and its territories.” Since the first assessment, there have been a number of very significant tsunamis, including the 2009 Samoa, 2010 Chile, and 2011 Japan tsunamis. As a result, the NTHMP requested an update of the U.S. tsunami hazard assessment.

","language":"English","publisher":"National Oceanic and Atmospheric Administration (NOAA)","publisherLocation":"Boulder, CO","usgsCitation":"Dunbar, P.K., and Weaver, C.S., 2015, U.S. States and Territories National Tsunami Hazard Assessment: Historical record and sources for waves – Update, ii, 31 p.","productDescription":"ii, 31 p.","numberOfPages":"38","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064747","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":324596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366423,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://nws.weather.gov/nthmp/documents/Tsunami_Assessment_2016Update.pdf"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5774f307e4b07dd077c6ae24","contributors":{"authors":[{"text":"Dunbar, Paula K.","contributorId":149996,"corporation":false,"usgs":false,"family":"Dunbar","given":"Paula","email":"","middleInitial":"K.","affiliations":[{"id":6637,"text":"National Oceanic and Atmospheric Administration, Northwest Fisheries Science Center, 2725 Montlake Blvd E, Seattle, WA 98112","active":true,"usgs":false}],"preferred":false,"id":580335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weaver, Craig S. craig@usgs.gov","contributorId":2690,"corporation":false,"usgs":true,"family":"Weaver","given":"Craig","email":"craig@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":580334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70160350,"text":"70160350 - 2015 - Evaluation of multiple-frequency, active and passive acoustics as surrogates for bedload transport","interactions":[],"lastModifiedDate":"2016-01-11T10:53:08","indexId":"70160350","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of multiple-frequency, active and passive acoustics as surrogates for bedload transport","docAbstract":"

The use of multiple-frequency, active acoustics through deployment of acoustic Doppler current profilers (ADCPs) shows potential for estimating bedload in selected grain size categories. The U.S. Geological Survey (USGS), in cooperation with the University of Montana (UM), evaluated the use of multiple-frequency, active and passive acoustics as surrogates for bedload transport during a pilot study on the Kootenai River, Idaho, May 17-18, 2012. Four ADCPs with frequencies ranging from 600 to 2000 kHz were used to measure apparent moving bed velocities at 20 stations across the river in conjunction with physical bedload samples. Additionally, UM scientists measured the sound frequencies of moving particles with two hydrophones, considered passive acoustics, along longitudinal transects in the study reach. Some patterns emerged in the preliminary analysis which show promise for future studies. Statistically significant relations were successfully developed between apparent moving bed velocities measured by ADCPs with frequencies 1000 and 1200 kHz and bedload in 0.5 to 2.0 mm grain size categories. The 600 kHz ADCP seemed somewhat sensitive to the movement of gravel bedload in the size range 8.0 to 31.5 mm, but the relation was not statistically significant. The passive hydrophone surveys corroborated the sample results and could be used to map spatial variability in bedload transport and to select a measurement cross-section with moving bedload for active acoustic surveys and physical samples.

","conferenceTitle":"SEDHYD 2015","conferenceDate":"April 19, 2015","conferenceLocation":"Reno, NV","language":"English","usgsCitation":"Wood, M.S., Fosness, R.L., Pachman, G., Lorang, M., and Tonolla, D., 2015, Evaluation of multiple-frequency, active and passive acoustics as surrogates for bedload transport, SEDHYD 2015, Reno, NV, April 19, 2015, 11 p.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060691","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":314109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":314108,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2015/openconf/modules/request.php?module=oc_program&action=summary.php&id=81"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5694e043e4b039675d005e1d","contributors":{"authors":[{"text":"Wood, Molly S. 0000-0002-5184-8306 mswood@usgs.gov","orcid":"https://orcid.org/0000-0002-5184-8306","contributorId":788,"corporation":false,"usgs":true,"family":"Wood","given":"Molly","email":"mswood@usgs.gov","middleInitial":"S.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582682,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pachman, Gregory gpachman@usgs.gov","contributorId":150692,"corporation":false,"usgs":true,"family":"Pachman","given":"Gregory","email":"gpachman@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorang, Mark","contributorId":150693,"corporation":false,"usgs":false,"family":"Lorang","given":"Mark","affiliations":[{"id":18069,"text":"Universtiy of Montana","active":true,"usgs":false}],"preferred":false,"id":582685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tonolla, Diego","contributorId":150694,"corporation":false,"usgs":false,"family":"Tonolla","given":"Diego","email":"","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":582686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70160270,"text":"70160270 - 2015 - New insight into California’s drought through open data","interactions":[],"lastModifiedDate":"2016-06-17T11:18:12","indexId":"70160270","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5024,"text":"BayGEO Journal","active":true,"publicationSubtype":{"id":10}},"title":"New insight into California’s drought through open data","docAbstract":"

Historically unprecedented drought in California has brought water issues to the forefront of the nation’s attention. Crucial investigations that concern water policy, management, and research, in turn, require extensive information about the quality and quantity of California’s water. Unfortunately, key sources of pertinent data are unevenly distributed and frequently hard to find. Thankfully, the vital importance of integrating water data across federal, state, and tribal, academic, and private entities, has recently been recognized and addressed through federal initiatives such as the Climate Data Initiative of President Obama’s Climate Action Plan and the Advisory Committee on Water Information’sOpen Water Data Initiative. Here, we demonstrate an application of integrated open water data, visualized and made available online using open source software, for the purpose of exploring the impact of the current California drought. Our collaborative approach and technical tools enabled a rapid, distributed development process. Many positive outcomes have resulted: the application received recognition within and outside of the Federal Government, inspired others to visualize open water data, spurred new collaborations for our group, and strengthened the collaborative relationships within the team of developers. In this article, we describe the technical tools and collaborative process that enabled the success of the application. 

","language":"English","usgsCitation":"Read, E.K., Bucknell, M., Hines, M., Kreft, J., Lucido, J., Read, J.S., Schroedl, C., Sibley, D.M., Stephan, S., Suftin, I., Thongsavanh, P., Van Den Hoek, J., Walker, J.I., Wernimont, M.R., Winslow, L., and Yan, A.N., 2015, New insight into California’s drought through open data: BayGEO Journal, v. 8, no. 1, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065881","costCenters":[],"links":[{"id":323875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312354,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://journal.baygeo.org/new-insight-into-californias-drought-through-open-data/"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57651f39e4b07657d19c790a","contributors":{"authors":[{"text":"Read, Emily K. 0000-0002-9617-9433 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jlucido@usgs.gov","contributorId":4695,"corporation":false,"usgs":true,"family":"Lucido","given":"Jessica M.","email":"jlucido@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582380,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":582381,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schroedl, Carl 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Analytics","active":false,"usgs":true}],"preferred":true,"id":582384,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Suftin, Ivan isuftin@usgs.gov","contributorId":4607,"corporation":false,"usgs":true,"family":"Suftin","given":"Ivan","email":"isuftin@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582466,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thongsavanh, Phethala thongsav@usgs.gov","contributorId":5154,"corporation":false,"usgs":true,"family":"Thongsavanh","given":"Phethala","email":"thongsav@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582385,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Van Den Hoek, Jamon","contributorId":127555,"corporation":false,"usgs":false,"family":"Van Den Hoek","given":"Jamon","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":582386,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Walker, Jordan I. 0000-0003-2226-3373 jiwalker@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-3373","contributorId":4608,"corporation":false,"usgs":true,"family":"Walker","given":"Jordan","email":"jiwalker@usgs.gov","middleInitial":"I.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582387,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wernimont, Martin R 0000-0002-2127-8568 mwernimont@usgs.gov","orcid":"https://orcid.org/0000-0002-2127-8568","contributorId":5662,"corporation":false,"usgs":true,"family":"Wernimont","given":"Martin","email":"mwernimont@usgs.gov","middleInitial":"R","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":582388,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Winslow, Luke A. lwinslow@usgs.gov","contributorId":150344,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke A.","email":"lwinslow@usgs.gov","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":false,"id":582389,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yan, Andrew N. ayan@usgs.gov","contributorId":5648,"corporation":false,"usgs":true,"family":"Yan","given":"Andrew","email":"ayan@usgs.gov","middleInitial":"N.","affiliations":[{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":582390,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70159514,"text":"ofr20131280P - 2015 - Mineral potential tracts for shoreline Ti-Zr placer deposits (phase V, deliverable 85): Chapter P in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","interactions":[{"subject":{"id":70159514,"text":"ofr20131280P - 2015 - Mineral potential tracts for shoreline Ti-Zr placer deposits (phase V, deliverable 85): Chapter P in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","indexId":"ofr20131280P","publicationYear":"2015","noYear":false,"chapter":"P","title":"Mineral potential tracts for shoreline Ti-Zr placer deposits (phase V, deliverable 85): Chapter P in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)"},"predicate":"IS_PART_OF","object":{"id":70160523,"text":"ofr20131280 - 2015 - Second Projet de Renforcement Institutionnel du Secteur Minier de la République Islamique de Mauritanie (PRISM-II) Phase 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Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1280","chapter":"P","title":"Mineral potential tracts for shoreline Ti-Zr placer deposits (phase V, deliverable 85): Chapter P in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II)","docAbstract":"

Shoreline placer Ti deposits are composed of ilmenite, rutile, zircon, monazite, and magnetite in well-sorted, fine- to medium-grained sand in coastal dunes, beaches and inlets. In addition to titanium, zirconium, in particular, and rare earth elements (REE) have become a major source of value in shoreline placer deposits. Shoreline placer deposits form mostly on tropical beaches around the world (fig. 1), and consist of dark sand layers rich in heavy minerals that are resistant to mechanical abrasion and chemical weathering. According to Hamilton (1995), shoreline placer deposits supply approximately 80 percent of the world’s rutile production, 25 percent of ilmenite, 100 percent of zircon, and 50 percent of both monazite and xenotime.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II) (Open File Report 2013-1280)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131280P","collaboration":"Prepared in cooperation with the Ministry of Petroleum, Energy, and Mines of the Islamic Republic of Mauritania","usgsCitation":"Beaudoin, G., 2015, Mineral potential tracts for shoreline Ti-Zr placer deposits (phase V, deliverable 85): Chapter P in Second projet de renforcement institutionnel du secteur minier de la République Islamique de Mauritanie (PRISM-II): U.S. Geological Survey Open-File Report 2013-1280, vi, 10 p., https://doi.org/10.3133/ofr20131280P.","productDescription":"vi, 10 p.","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052714","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":318904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131280P.PNG"},{"id":318724,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/publication/ofr20131280"},{"id":318903,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1280/Final_Reports_English/deliverable_85-Shoreline_Placer%20Ti-chapter_P.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"Mauritania","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-12.17075,14.61683],[-12.83066,15.30369],[-13.43574,16.03938],[-14.09952,16.3043],[-14.57735,16.59826],[-15.13574,16.58728],[-15.62367,16.36934],[-16.12069,16.45566],[-16.4631,16.13504],[-16.54971,16.67389],[-16.27055,17.16696],[-16.14635,18.10848],[-16.25688,19.09672],[-16.37765,19.59382],[-16.27784,20.09252],[-16.53632,20.56787],[-17.06342,20.99975],[-16.84519,21.33332],[-12.9291,21.32707],[-13.11875,22.77122],[-12.87422,23.28483],[-11.93722,23.37459],[-11.96942,25.93335],[-8.68729,25.88106],[-8.6844,27.39574],[-4.92334,24.97457],[-6.45379,24.95659],[-5.97113,20.64083],[-5.48852,16.3251],[-5.31528,16.20185],[-5.53774,15.50169],[-9.55024,15.4865],[-9.70026,15.26411],[-10.08685,15.33049],[-10.65079,15.13275],[-11.3491,15.41126],[-11.66608,15.38821],[-11.83421,14.7991],[-12.17075,14.61683]]]},\"properties\":{\"name\":\"Mauritania\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56ea83b1e4b0f59b85d90d03","contributors":{"authors":[{"text":"Beaudoin, Georges","contributorId":149747,"corporation":false,"usgs":false,"family":"Beaudoin","given":"Georges","email":"","affiliations":[{"id":17811,"text":"Département de Géologie et de Génie Géologique, 1065 avenue de la Médecine, Québec Canada","active":true,"usgs":false}],"preferred":false,"id":622212,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70173599,"text":"70173599 - 2015 - The effects of flow and stream characteristics on the variation in freshwater mussel growth in a Southeast US river basin","interactions":[],"lastModifiedDate":"2016-06-13T09:54:25","indexId":"70173599","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","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":"The effects of flow and stream characteristics on the variation in freshwater mussel growth in a Southeast US river basin","docAbstract":"

Summary

\n
    \n
  1. The evaluation of the age and growth of animal populations is essential for understanding and predicting how populations will respond to changes in environmental conditions and anthropogenic stressors.
    2. \n
  2. We used a novel, von Bertalanffy hierarchical modelling approach to quantify relationships between the growth of three freshwater mussel species and various site- and watershed-level factors including seasonal discharge, land cover and stream size in the lower Flint River Basin, Georgia, U.S.A.
    3. \n
  3. Our modelling approach quantified the mussel-to-mussel variation in the von Bertalanffy parameters and accounted for biases associated with multiple measurements made on each mussel specimen, which are generally not accounted for as sources of bias in age and growth studies.
    4. \n
  4. Modelling results suggested that maximum shell size parameter and the Brody growth coefficient varied across species, on average, 19 and 33%, respectively, among individual mussels within sample sites. The variation was related to short-term high streamflows during the spring season, stream size, channel geomorphology and land cover in the watershed.
    5. \n
  5. This study provides insight to the factors affecting the growth of stream-dwelling freshwater mussels. Although hierarchical von Bertalanffy growth models are rarely used for freshwater mussel age and growth studies, this approach can provide important information regarding the ecology of freshwater mussels.
    6. \n
","language":"English","doi":"10.1111/fwb.12504","usgsCitation":"Dycus, J.C., Wisniewski, J.M., and Peterson, J., 2015, The effects of flow and stream characteristics on the variation in freshwater mussel growth in a Southeast US river basin: Freshwater Biology, v. 60, no. 2, p. 395-409, https://doi.org/10.1111/fwb.12504.","productDescription":"15 p.","startPage":"395","endPage":"409","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039278","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Lower Flint River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.70458984375,\n 32.338200271527754\n ],\n [\n -84.5947265625,\n 32.24532861404601\n ],\n [\n -84.166259765625,\n 32.2546200600072\n ],\n [\n -84.0234375,\n 32.36604320976023\n ],\n [\n -83.8421630859375,\n 32.00341778396365\n ],\n [\n -84.1278076171875,\n 31.240985378021307\n ],\n [\n -84.8419189453125,\n 30.713503990354965\n ],\n [\n -85.0341796875,\n 31.29732799140429\n ],\n [\n -84.8309326171875,\n 31.840232667909365\n ],\n [\n -84.70458984375,\n 32.338200271527754\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"60","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-21","publicationStatus":"PW","scienceBaseUri":"575fd933e4b04f417c2baa9d","chorus":{"doi":"10.1111/fwb.12504","url":"http://dx.doi.org/10.1111/fwb.12504","publisher":"Wiley-Blackwell","authors":"Dycus Justin C., Wisniewski Jason M., Peterson James T.","journalName":"Freshwater Biology","publicationDate":"11/21/2014"},"contributors":{"authors":[{"text":"Dycus, Justin C.","contributorId":171750,"corporation":false,"usgs":false,"family":"Dycus","given":"Justin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wisniewski, Jason M.","contributorId":140148,"corporation":false,"usgs":false,"family":"Wisniewski","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637387,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176457,"text":"70176457 - 2015 - In-situ arsenic removal during groundwater recharge through unsaturated alluvium","interactions":[],"lastModifiedDate":"2016-09-14T15:52:30","indexId":"70176457","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"In-situ arsenic removal during groundwater recharge through unsaturated alluvium","docAbstract":"

OBJECTIVES

The purpose of this study was to determine the feasibility and sustainability of in-situ removal of arsenic from water infiltrated through unsaturated alluvium.

BACKGROUND

Arsenic is naturally present in aquifers throughout the southwestern United States and elsewhere. In January 2006, the U.S. Environmental Protection Agency (EPA) lowered the Maximum Contaminant Level (MCL) for arsenic from 50 to 10 micrograms per liter (g/L). This raised concerns about naturally-occurring arsenic in groundwater. Although commercially available systems using sorbent iron or aluminum oxide resins are available to treat high-arsenic water, these systems are expensive to build and operate, and may generate hazardous waste.

Iron and aluminum oxides occur naturally on the surfaces of mineral grains that compose alluvial aquifers. In areas where alluvial deposits are unsaturated, these oxides may sorb arsenic in the same manner as commercial resins, potentially providing an effective low-cost alternative to commercially engineered treatment systems.

APPROACH

The Antelope Valley within the Mojave Desert of southern California contains a shallow water-table aquifer with arsenic concentrations of 5 g/L, and a deeper aquifer with arsenic concentrations of 30 g/L. Water was pumped from the deep aquifer into a pond and infiltrated through an 80 m-thick unsaturated zone as part of field-scale and laboratory experiments to treat high-arsenic groundwater and recharge the shallow water table aquifer at the site.

The field-scale recharge experiment included the following steps: 1) construction of a recharge pond 2) test drilling for sample collection and instrument installation adjacent to the pond 3) monitoring downward migration of water infiltrated from the pond 4) monitoring changes in selected trace-element concentrations as water infiltrated through the unsaturated zone

Data from instruments within the borehole adjacent to the pond were supplemented with borehole and surface geophysical data to evaluate the lateral spreading of water as it moved downward through the unsaturated zone.

Three laboratory studies were undertaken. Sequential extraction was used to evaluate the abundance of iron, aluminum, and manganese oxides and selected trace elements on operationally defined sites on the surfaces of mineral grains collected before and after infiltration from the pond. Secondly, radio-labeled arsenic-73 microcosm experiments evaluated the potential for incorporation of arsenic sorbed to exchange sites on mineral grains into less reactive crystalline mineral structures with time. Finally, column studies evaluated arsenic sorption and the pH dependence of sorption for selected unsaturated zone materials.

RESULTS/CONCLUSIONS

Between December 2010 and July 2012, more than 120,000 cubic meters (m3 ) (about 97 acre-feet) of high-arsenic groundwater was pumped from the deep aquifer into a 0.11 hectare (about 0.27 acres) pond and infiltrated though an 80-meter (about 260 feet) thick unsaturated zone to recharge a water-table aquifer.

Arsenic concentrations were lowered from 30 to 2 g/L as water infiltrated though the unsaturated zone at the site. Some uranium, possibly associated with past agricultural land use at the site, was mobilized to concentrations as high as 66 g/L within the unsaturated zone during the experiment. Uranium was resorbed and the high uranium concentrations did not reach the water table at the site. Concentrations of other trace elements, including antimony, chromium, vanadium, and selenium were low throughout the study.

Infiltration rates from the pond were as high as 0.4 meters per day (1.1 feet per day, ft/d), and the wetting front moved downward about 25 centimeters per day (cm/d) (0.8 ft/d) to a depth of about 50 m (about 165 feet). Clay layers at that depth slowed the downward movement of the wetting front to about 5 cm/d (0.16 ft/d). Lateral movement of the wetting front was monitored using sequential direct-current (DC) surface and sequential electromagnetic (EM) and DC borehole resistivity. Most lateral movement occurred on a clay layer about 50 m (about 165 feet) below land surface. Infiltrated water reached the water table in January 2013. At the water table, the “wetted footprint” of water infiltrated from the pond, indicated by surface resistivity data, was about 13 hectares (about 32 acres). On the basis of data collected at the site, there is enough sorbent material to operate this pond and treat groundwater having an arsenic concentration of 30 g/L to 2 g/L for about 500 years. Toxicity Characteristic Leaching Procedure (TCLP) data showed arsenic concentrations to be below hazardous levels beneath the pond after the experiment. Pond maintenance may be required to keep infiltration rates high, and prevent accumulation of organic material on the pond bottom, although organic material on the pond bottom may increase removal of other trace elements in infiltrated water including chromium, selenium, and vanadium.

Laboratory results are consistent with the field data and show sorption of arsenic in 10 cm (0.3 feet) columns to about 2 g/L over a pH range of 6 to 8, and at influent arsenic concentrations as high as 300 g/L, without breakthrough in 50 pore volumes. Column results suggest that the insitu treatment may remove arsenic in a range of hydrogeologic settings, and would not necessarily be restricted to alkaline alluvial aquifers common throughout the southwestern United States. Radiolabeled arsenic-73 experiments show that although arsenic is initially weakly sorbed (and potentially mobile), with time arsenic is incorporated into amorphous materials. One year after sorption onto surface exchange sites, most sorbed arsenic is incorporated into crystalline oxide minerals on the surfaces of primary mineral grains and is less mobile.

Results of the study suggest that long-term land use restrictions on sites used for in-situ treatment of arsenic may not be needed to control water applied to surface materials. This minimizes some regulatory concerns about future land use at sites used for in-situ arsenic treatment. However, future land uses that may alter reduction-oxidation conditions in the subsurface should be avoided, such as infiltration of stormwater recharge or recharge with other water having high organic carbon concentrations (including unsewered residential land use, dairy or other confined animal operations).

","language":"English","publisher":"Water Resource Foundation","usgsCitation":"O’Leary, D., Izbicki, J.A., Kim, T., Ajawani, C., Suarez, D., Barnes, T., Kulp, T., Burgess, M.K., and Tseng, I., 2015, In-situ arsenic removal during groundwater recharge through unsaturated alluvium, v. 4299, xix, 59 p.","productDescription":"xix, 59 p.","numberOfPages":"80","ipdsId":"IP-046006","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":328658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328657,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.waterrf.org/Pages/Projects.aspx?PID=4299"}],"volume":"4299","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57da74b4e4b090824ffb7e4e","contributors":{"authors":[{"text":"O’Leary, David 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":139900,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, T.J.","contributorId":174624,"corporation":false,"usgs":false,"family":"Kim","given":"T.J.","email":"","affiliations":[{"id":27483,"text":"LA County Department of Public Works","active":true,"usgs":false}],"preferred":false,"id":648816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajawani, Clark","contributorId":174625,"corporation":false,"usgs":false,"family":"Ajawani","given":"Clark","email":"","affiliations":[{"id":27483,"text":"LA County Department of Public Works","active":true,"usgs":false}],"preferred":false,"id":648817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suarez, Donald","contributorId":174626,"corporation":false,"usgs":false,"family":"Suarez","given":"Donald","email":"","affiliations":[{"id":27484,"text":"U.S. Dept. of Agriculture Soil Salinity Laboratory","active":true,"usgs":false}],"preferred":false,"id":648818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnes, Thomas","contributorId":174627,"corporation":false,"usgs":false,"family":"Barnes","given":"Thomas","email":"","affiliations":[{"id":27485,"text":"Antelope Valley East Kern Water District","active":true,"usgs":false}],"preferred":false,"id":648819,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kulp, Thomas","contributorId":174628,"corporation":false,"usgs":false,"family":"Kulp","given":"Thomas","email":"","affiliations":[{"id":27486,"text":"State University of New York, Binghampton","active":true,"usgs":false}],"preferred":false,"id":648820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burgess, Matthew K. 0000-0002-2828-8910 mburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-2828-8910","contributorId":2115,"corporation":false,"usgs":true,"family":"Burgess","given":"Matthew","email":"mburgess@usgs.gov","middleInitial":"K.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":648821,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tseng, Iwen","contributorId":174629,"corporation":false,"usgs":false,"family":"Tseng","given":"Iwen","email":"","affiliations":[{"id":27487,"text":"County of Los Angeles Department of Public Works, Alhambra, CA","active":true,"usgs":false}],"preferred":false,"id":648822,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70173564,"text":"70173564 - 2015 - Breeding habitat associations and predicted distribution of an obligate tundra-breeding bird, Smith's Longspur","interactions":[],"lastModifiedDate":"2016-06-13T15:27:01","indexId":"70173564","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Breeding habitat associations and predicted distribution of an obligate tundra-breeding bird, Smith's Longspur","docAbstract":"

Smith's Longspur (Calcarius pictus) is a species of conservation concern which breeds in Arctic habitats that are expected to be especially vulnerable to climate change. We used bird presence and habitat data from point-transect surveys conducted at 12 sites across the Brooks Range, Alaska, 2003–2009, to identify breeding areas, describe local habitat associations, and identify suitable habitat using a predictive model of Smith's Longspur distribution. Smith's Longspurs were observed at seven sites, where they were associated with a variety of sedge–shrub habitats composed primarily of mosses, sedges, tussocks, and dwarf shrubs; erect shrubs were common but sparse. Nonmetric multidimensional scaling ordination of ground cover revealed positive associations of Smith's Longspur presence with sedges and mosses and a negative association with high cover of shrubs. To model predicted distribution, we used boosted regression trees to relate landscape variables to occurrence. Our model predicted that Smith's Longspurs may occur in valleys and foothills of the northeastern and southeastern mountains and in upland plateaus of the western mountains, and farther west than currently documented, over a predicted area no larger than 15% of the Brooks Range. With climate change, shrubs are expected to grow larger and denser, while soil moisture and moss cover are predicted to decrease. These changes may reduce Smith's Longspur habitat quality and limit distribution in the Brooks Range to poorly drained lowlands and alpine plateaus where sedge–shrub tundra is likely to persist. Conversely, northward advance of shrubs into sedge tundra may create suitable habitat, thus supporting a northward longspur distribution shift.

","language":"English","publisher":"Cooper Ornithological Society","doi":"10.1650/CONDOR-14-77.1","usgsCitation":"Wild, T.C., Kendall, S.J., Guldager, N., and Powell, A.N., 2015, Breeding habitat associations and predicted distribution of an obligate tundra-breeding bird, Smith's Longspur: The Condor, v. 117, no. 1, p. 3-17, https://doi.org/10.1650/CONDOR-14-77.1.","productDescription":"15 p.","startPage":"3","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056888","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fd92be4b04f417c2baa07","contributors":{"authors":[{"text":"Wild, Teri C.","contributorId":171769,"corporation":false,"usgs":false,"family":"Wild","given":"Teri","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, Steven J.","contributorId":30911,"corporation":false,"usgs":false,"family":"Kendall","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":638598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guldager, Nikki","contributorId":101981,"corporation":false,"usgs":true,"family":"Guldager","given":"Nikki","email":"","affiliations":[],"preferred":false,"id":638599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby N. 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":171426,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","middleInitial":"N.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637346,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174395,"text":"70174395 - 2015 - Adaptive management","interactions":[],"lastModifiedDate":"2021-04-09T17:56:38.925401","indexId":"70174395","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Adaptive management","docAbstract":"

Adaptive management is an approach to natural resource management that emphasizes learning through management where knowledge is incomplete, and when, despite inherent uncertainty, managers and policymakers must act. Unlike a traditional trial and error approach, adaptive management has explicit structure, including a careful elucidation of goals, identification of alternative management objectives and hypotheses of causation, and procedures for the collection of data followed by evaluation and reiteration. The process is iterative, and serves to reduce uncertainty, build knowledge and improve management over time in a goal-oriented and structured process.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Adaptive management of social-ecological systems","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-017-9682-8_1","usgsCitation":"Allen, C.R., and Garmestani, A.S., 2015, Adaptive management, chap. of Adaptive management of social-ecological systems, p. 1-10, https://doi.org/10.1007/978-94-017-9682-8_1.","productDescription":"10 p.","startPage":"1","endPage":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075855","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":325002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-25","publicationStatus":"PW","scienceBaseUri":"5784c335e4b0e02680be58f4","contributors":{"editors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":642092,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":642093,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":642043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":642091,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193467,"text":"70193467 - 2015 - Spatial and temporal variation in marine birds in the north Gulf of Alaska: The value of marine bird monitoring within Gulf Watch Alaska","interactions":[],"lastModifiedDate":"2019-12-21T08:46:49","indexId":"70193467","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Spatial and temporal variation in marine birds in the north Gulf of Alaska: The value of marine bird monitoring within Gulf Watch Alaska","docAbstract":"

Birds offer useful insights into marine ecosystems. Marine birds are responsive to spatial and temporal variation in the environment, that often originates with fluctuations in oceanographic and climatic drivers and permeates up through food webs to conspicuous top predators such as seabirds (Coyle and Pinchuk 2005, Speckman et al. 2005, Gonzales-Solis et al. 2009, Cushing et al., this report). In that way, marine birds are excellent assimilators, samplers, and indicators of the status of marine environments (Montevecchi 1993, Piatt et al. 2007b, Zador et al. 2013). Marine bird responses to dynamic marine ecosystems can be detected in a variety of metrics, including abundance, distribution, and productivity. For example, in the northern Gulf of Alaska (GOA), decadal-scale variation in oceanographic conditions has been associated with dramatic shifts in prey composition and abundance (Anderson and Piatt 1999). In turn, these shifts were more closely correlated with changes in abundance of fish-eating birds of Prince William Sound (PWS), such as pigeon guillemots (Golet et al. 2002) and marbled and Kittlitz’s murrelets (Kuletz et al. 2011a, 2011b), than in the abundance of species that primarily consume plankton or benthic prey (Agler et al. 1999, Cushing et al., this report). Birds also are responsive to anthropogenic influences in marine environments, including commercial fishing, contamination, introduction of non-native species, coastal development, offshore resource extraction, and vessel traffic. A major anthropogenic perturbation in the northern GOA was the 1989 Exxon Valdez oil spill, in which marine birds suffered high immediate mortality (Piatt and Ford 1996). Additionally, several species showed long-term evidence of declines in the oiled areas of PWS (Lance et al. 2001), as well as impacts to reproductive success years later (Golet et al. 2002). However, the degree of direct impact and vulnerability to chronic injury, which was related to exposure to lingering oil, varied widely among species (see Esler et al., this report). Research and monitoring directed at documenting the timelines and mechanisms of wildlife recovery following the Exxon Valdez oil spill led to an unprecedented understanding of oil spill effects on marine birds, as well as previously unknown information about marine bird ecology in the northern GOA. Quantifying effects of anthropogenic influences requires an understanding of variation in marine bird abundance, distribution, and productivity, in relation to naturally occurring dynamics in marine environments continued marine bird work as part of Gulf Watch Alaska will facilitate this. In addition to their value as indicators of marine conditions and anthropogenic influences, marine birds are protected under the Migratory Bird Treaty Act and are managed by the U.S. Fish and Wildlife Service (USFWS). Marine birds have high societal value from a wide variety of interests (e.g., tourism, bird watching, hunting, mythology), and are an important source of subsistence foods in Alaska (Naves and Braem 2014). Because of the conservation interest in marine birds, as well as their value for indicating the status of marine ecosystems, monitoring of marine birds is an important component of many ocean monitoring programs, including Gulf Watch Alaska.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Quantifying temporal and spatial ecosystem variability across the Northern Gulf of Alaska to understand mechanisms of change: Science synthesis report for the Gulf Watch Alaska Program","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Gulf Watch Alaska Program","usgsCitation":"Kuletz, K.J., and Esler, D., 2015, Spatial and temporal variation in marine birds in the north Gulf of Alaska: The value of marine bird monitoring within Gulf Watch Alaska, 6 p.","productDescription":"6 p.","startPage":"3-47 ","endPage":"3-52","ipdsId":"IP-060102","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":350043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348034,"type":{"id":11,"text":"Document"},"url":"https://www.evostc.state.ak.us/Store/ScienceSynthesisReports/LTMScienceSynthesis.pdf"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.8955078125,\n 57.27904276497778\n ],\n [\n -145.72265625,\n 57.27904276497778\n ],\n [\n -145.72265625,\n 62.1655019058381\n ],\n [\n -157.8955078125,\n 62.1655019058381\n ],\n [\n -157.8955078125,\n 57.27904276497778\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fe3ae4b06e28e9c252c1","contributors":{"authors":[{"text":"Kuletz, Kathy J.","contributorId":24669,"corporation":false,"usgs":true,"family":"Kuletz","given":"Kathy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":true,"id":719147,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178042,"text":"70178042 - 2015 - Estimating spawning times of Alligator Gar (Atractosteus spatula) in Lake Texoma, Oklahoma","interactions":[],"lastModifiedDate":"2016-11-01T12:58:44","indexId":"70178042","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3894,"text":"Proceedings of the Oklahoma Academy of Science","active":true,"publicationSubtype":{"id":10}},"title":"Estimating spawning times of Alligator Gar (Atractosteus spatula) in Lake Texoma, Oklahoma","docAbstract":"

In 2013, juvenile Alligator Gar were sampled in the reservoir-river interface of the Red River arm of Lake Texoma. The Red River, which flows 860 km along Oklahoma’s border with Texas, is the primary in-flow source of Lake Texoma, and is impounded by Denison Dam. Minifyke nets were deployed using an adaptive random cluster sampling design, which has been used to effectively sample rare species. Lapilli otoliths (one of the three pair of ear stones found within the inner ear of fish) were removed from juvenile Alligator Gar collected in July of 2013. Daily ages were estimated by counting the number of rings present, and spawn dates were back-calculated from date of capture and subtracting 8 days (3 days from spawn to hatch and 5 days from hatch to swimup when the first ring forms). Alligator Gar daily age estimation ranged from 50 to 63 days old since swim-up. Spawn dates corresponded to rising pool elevations of Lake Texoma and water pulses of tributaries.

","language":"English","publisher":"Oklahoma Academy of Science","usgsCitation":"Snow, R.A., and Long, J.M., 2015, Estimating spawning times of Alligator Gar (Atractosteus spatula) in Lake Texoma, Oklahoma: Proceedings of the Oklahoma Academy of Science, v. 95, p. 46-53.","productDescription":"8 p.","startPage":"46","endPage":"53","ipdsId":"IP-068503","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":330609,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://ojs.library.okstate.edu/osu/index.php/OAS/article/view/6868"}],"volume":"95","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5819a9c4e4b0bb36a4c91031","contributors":{"authors":[{"text":"Snow, Richard A.","contributorId":176213,"corporation":false,"usgs":false,"family":"Snow","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":652626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652587,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70169155,"text":"70169155 - 2015 - Arctic biodiversity: Increasing richness accompanies shrinking refugia for a cold-associated tundra fauna","interactions":[],"lastModifiedDate":"2018-06-12T20:50:46","indexId":"70169155","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Arctic biodiversity: Increasing richness accompanies shrinking refugia for a cold-associated tundra fauna","docAbstract":"

As ancestral biodiversity responded dynamically to late-Quaternary climate changes, so are extant organisms responding to the warming trajectory of the Anthropocene. Ecological predictive modeling, statistical hypothesis tests, and genetic signatures of demographic change can provide a powerful integrated toolset for investigating these biodiversity responses to climate change, and relative resiliency across different communities. Within the biotic province of Beringia, we analyzed specimen localities and DNA sequences from 28 mammal species associated with boreal forest and Arctic tundra biomes to assess both historical distributional and evolutionary responses and then forecasted future changes based on statistical assessments of past and present trajectories, and quantified distributional and demographic changes in relation to major management regions within the study area. We addressed three sets of hypotheses associated with aspects of methodological, biological, and socio-political importance by asking (1) what is the consistency among implications of predicted changes based on the results of both ecological and evolutionary analyses; (2) what are the ecological and evolutionary implications of climate change considering either total regional diversity or distinct communities associated with major biomes; and (3) are there differences in management implications across regions? Our results indicate increasing Arctic richness through time that highlights a potential state shift across the Arctic landscape. However, within distinct ecological communities, we found a predicted decline in the range and effective population size of tundra species into several discrete refugial areas. Consistency in results based on a combination of both ecological and evolutionary approaches demonstrates increased statistical confidence by applying cross-discipline comparative analyses to conservation of biodiversity, particularly considering variable management regimes that seek to balance sustainable ecosystems with other anthropogenic values. Refugial areas for cold-adapted taxa appear to be persistent across both warm and cold climate phases and although fragmented, constitute vital regions for persistence of Arctic mammals.

","language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES15-00104.1","usgsCitation":"Hope, A.G., Waltari, E., Malaney, J.L., Payer, D.C., Cook, J., and Talbot, S.L., 2015, Arctic biodiversity: Increasing richness accompanies shrinking refugia for a cold-associated tundra fauna: Ecosphere, v. 6, no. 9, p. 1-67, https://doi.org/10.1890/ES15-00104.1.","productDescription":"67 p.","startPage":"1","endPage":"67","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056204","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":471531,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es15-00104.1","text":"Publisher Index Page"},{"id":319203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-28","publicationStatus":"PW","scienceBaseUri":"56f3be2ce4b0f59b85e02da3","contributors":{"authors":[{"text":"Hope, Andrew G. 0000-0003-3814-2891 ahope@usgs.gov","orcid":"https://orcid.org/0000-0003-3814-2891","contributorId":4309,"corporation":false,"usgs":true,"family":"Hope","given":"Andrew","email":"ahope@usgs.gov","middleInitial":"G.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":623251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waltari, Eric","contributorId":105946,"corporation":false,"usgs":false,"family":"Waltari","given":"Eric","affiliations":[],"preferred":false,"id":623284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malaney, Jason L.","contributorId":140462,"corporation":false,"usgs":false,"family":"Malaney","given":"Jason","email":"","middleInitial":"L.","affiliations":[{"id":13048,"text":"Department of Natural Resources and Environmental Science, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":623285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Payer, David C.","contributorId":7495,"corporation":false,"usgs":false,"family":"Payer","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":623286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, J.A.","contributorId":60868,"corporation":false,"usgs":true,"family":"Cook","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":623287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":623252,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70168949,"text":"70168949 - 2015 - Context of ancient aqueous environments on Mars from in situ geologic mapping at Endeavour Crater","interactions":[],"lastModifiedDate":"2018-11-13T10:58:25","indexId":"70168949","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Context of ancient aqueous environments on Mars from in situ geologic mapping at Endeavour Crater","docAbstract":"

Using the Mars Exploration Rover Opportunity, we have compiled one of the first field geologic maps on Mars while traversing the Noachian terrain along the rim of the 22 km diameter Endeavour Crater (Latitude −2°16′33″, Longitude −5°10′51″). In situ mapping of the petrographic, elemental, structural, and stratigraphic characteristics of outcrops and rocks distinguishes four mappable bedrock lithologic units. Three of these rock units predate the surrounding Burns formation sulfate-rich sandstones and one, the Matijevic Formation, represents conditions on early Mars predating the formation of Endeavour Crater. The stratigraphy assembled from these observations includes several geologic unconformities. The differences in lithologic units across these unconformities record changes in the character and intensity of the Martian aqueous environment over geologic time. Water circulated through fractures in the oldest rocks over periods long enough that texturally and elementally significant alteration occurred in fracture walls. These oldest pre-Endeavour rocks and their network of mineralized and altered fractures were preserved by burial beneath impact ejecta and were subsequently exhumed and exposed. The alteration along joints in the oldest rocks and the mineralized veins and concentrations of trace metals in overlying lithologic units is direct evidence that copious volumes of mineralized and/or hydrothermal fluids circulated through the early Martian crust. The wide range in intensity of structural and chemical modification from outcrop to outcrop along the crater rim shows that the ejecta of large (>8 km in diameter) impact craters is complex. These results imply that geologic complexity is to be anticipated in other areas of Mars where cratering has been a fundamental process in the local and regional geology and mineralogy.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014JE004699","usgsCitation":"Crumpler, L., Arvidson, R., Bell, J., Clark, B.C., Cohen, B.A., Farrand, W.H., Gellert, R., Golombek, M., Grant, J.A., Guinness, E., Herkenhoff, K.E., Johnson, J.R., Jolliff, B., Ming, D.W., Mittlefehldt, D.W., Parker, T., Rice, J.W., Squyres, S.W., Sullivan, R., and Yen, A.S., 2015, Context of ancient aqueous environments on Mars from in situ geologic mapping at Endeavour Crater: Journal of Geophysical Research E: Planets, v. 120, no. 3, p. 538-569, https://doi.org/10.1002/2014JE004699.","productDescription":"32 p.","startPage":"538","endPage":"569","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056594","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":471518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014je004699","text":"Publisher Index Page"},{"id":318754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"120","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-24","publicationStatus":"PW","scienceBaseUri":"56e15744e4b00e6e761627a0","contributors":{"authors":[{"text":"Crumpler, L.S.","contributorId":81575,"corporation":false,"usgs":true,"family":"Crumpler","given":"L.S.","email":"","affiliations":[],"preferred":false,"id":622186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arvidson, R. E.","contributorId":46666,"corporation":false,"usgs":true,"family":"Arvidson","given":"R. E.","affiliations":[],"preferred":false,"id":622318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, J.","contributorId":95270,"corporation":false,"usgs":true,"family":"Bell","given":"J.","affiliations":[],"preferred":false,"id":622319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, B. C.","contributorId":39918,"corporation":false,"usgs":true,"family":"Clark","given":"B.","middleInitial":"C.","affiliations":[],"preferred":false,"id":622320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cohen, B. A.","contributorId":34239,"corporation":false,"usgs":true,"family":"Cohen","given":"B.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":622321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farrand, W. H.","contributorId":64372,"corporation":false,"usgs":true,"family":"Farrand","given":"W.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":622322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gellert, Ralf","contributorId":35049,"corporation":false,"usgs":false,"family":"Gellert","given":"Ralf","email":"","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":622323,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Golombek, M.","contributorId":72506,"corporation":false,"usgs":true,"family":"Golombek","given":"M.","affiliations":[],"preferred":false,"id":622324,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grant, J. A.","contributorId":28334,"corporation":false,"usgs":true,"family":"Grant","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":622325,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Guinness, E.","contributorId":18939,"corporation":false,"usgs":true,"family":"Guinness","given":"E.","email":"","affiliations":[],"preferred":false,"id":622326,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":622185,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, J. R.","contributorId":69278,"corporation":false,"usgs":true,"family":"Johnson","given":"J.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":622327,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Jolliff, B.","contributorId":105077,"corporation":false,"usgs":true,"family":"Jolliff","given":"B.","affiliations":[],"preferred":false,"id":622328,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ming, D. W.","contributorId":96811,"corporation":false,"usgs":true,"family":"Ming","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":622329,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mittlefehldt, D. W.","contributorId":54711,"corporation":false,"usgs":true,"family":"Mittlefehldt","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":622330,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Parker, T.","contributorId":90901,"corporation":false,"usgs":true,"family":"Parker","given":"T.","affiliations":[],"preferred":false,"id":622331,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rice, J. W. Jr.","contributorId":53040,"corporation":false,"usgs":true,"family":"Rice","given":"J.","suffix":"Jr.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":622332,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Squyres, S. W.","contributorId":31836,"corporation":false,"usgs":true,"family":"Squyres","given":"S.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":622333,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Sullivan, R.","contributorId":63134,"corporation":false,"usgs":true,"family":"Sullivan","given":"R.","affiliations":[],"preferred":false,"id":622334,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Yen, A. S.","contributorId":35860,"corporation":false,"usgs":true,"family":"Yen","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":622335,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70178586,"text":"70178586 - 2015 - Examples of deformation-dependent flow simulations of conjunctive use with MF-OWHM","interactions":[],"lastModifiedDate":"2017-01-20T10:36:00","indexId":"70178586","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5272,"text":"Proceedings of the International Association of Hydrological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Examples of deformation-dependent flow simulations of conjunctive use with MF-OWHM","docAbstract":"

The dependency of surface- and groundwater flows and aquifer hydraulic properties on deformation induced by changes in aquifer head is not accounted for in the standard version of MODFLOW. A new USGS integrated hydrologic model, MODFLOW-OWHM, incorporates this dependency by linking subsidence and mesh deformation with changes in aquifer transmissivity and storage coefficient, and with flows that also depend on aquifer characteristics and land-surface geometry. This new deformation-dependent approach is being used for the further development of the integrated Central Valley hydrologic model (CVHM) in California. Preliminary results from this application and from hypothetical test cases of similar systems show that changes in canal flows, stream seepage, and evapotranspiration from groundwater (ETgw) are sensitive to deformation. Deformation feedback has been shown to also have an indirect effect on conjunctive surface- and groundwater use components with increased stream seepage and streamflows influencing surface-water deliveries and return flows. In the Central Valley model, land subsidence may significantly degrade the ability of the major canals to deliver surface water from the Delta to the San Joaquin and Tulare basins. Subsidence can also affect irrigation demand and ETgw, which, along with altered surface-water supplies, causes a feedback response resulting in changed estimates of groundwater pumping for irrigation. This modeling feature also may improve the impact assessment of dewatering-induced land subsidence/uplift (following irrigation pumping or coal-seam gas extraction) on surface receptors, inter-basin transfers, and surface infrastructure integrity.

","language":"English","publisher":"Copernicus Publications","doi":"10.5194/piahs-372-449-2015","usgsCitation":"Hanson, R.T., Traum, J.A., Boyce, S.E., Schmid, W., and Hughes, J.D., 2015, Examples of deformation-dependent flow simulations of conjunctive use with MF-OWHM: Proceedings of the International Association of Hydrological Sciences, v. 372, p. 449-453, https://doi.org/10.5194/piahs-372-449-2015.","productDescription":"5 p.","startPage":"449","endPage":"453","ipdsId":"IP-065067","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/piahs-372-449-2015","text":"Publisher Index Page"},{"id":333531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"372","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-12","publicationStatus":"PW","scienceBaseUri":"58833023e4b0d00231637794","contributors":{"authors":[{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traum, Jonathan A. 0000-0002-4787-3680 jtraum@usgs.gov","orcid":"https://orcid.org/0000-0002-4787-3680","contributorId":4780,"corporation":false,"usgs":true,"family":"Traum","given":"Jonathan","email":"jtraum@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyce, Scott 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmid, Wolfgang","contributorId":140408,"corporation":false,"usgs":false,"family":"Schmid","given":"Wolfgang","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":654472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":654473,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174828,"text":"70174828 - 2015 - Representativeness of soil samples collected to assess mining-related contamination of flood plains in southeast Kansas","interactions":[],"lastModifiedDate":"2016-07-18T12:17:42","indexId":"70174828","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Representativeness of soil samples collected to assess mining-related contamination of flood plains in southeast Kansas","docAbstract":"

Historical lead and zinc mining in the Tri-State Mining District (TSMD), located in parts of southeast Kansas, southwest Missouri, and northeast Oklahoma, has resulted in a substantial ongoing input of lead and zinc to the environment (Juracek, 2006; Juracek and Becker, 2009). In response to concern about the mining-related contamination, southeast Cherokee County, Kansas, was listed on the U.S. Environmental Protection Agency’s (USEPA) National Priority List as a Superfund hazardous waste site (fig. 1). To provide some of the information needed to support remediation efforts in the Cherokee County Superfund site, a study was begun in 2009 by the U.S. Geological Survey (USGS) that was requested and funded by USEPA. As part of the study, surficial-soil sampling was used to investigate the extent and magnitude of mining-related lead and zinc contamination in the flood plains of the Spring River and several tributaries within the Superfund site. In mining-affected areas, flood-plain soils had lead and zinc concentrations that far exceeded background levels as well as probable-effects guidelines for toxic aquatic biological effects (Juracek, 2013). Lead- and zinc-contaminated flood plains are a concern, in part, because they represent a long-term source of contamination to the fluvial environment.

\n

An important issue is the within-site representativeness of the surficial-soil samples collected. Specifically, the question is whether or not the samples collected provide an acceptable representation of the lead and zinc concentrations at each site for the purpose of characterizing and comparing sites. The distribution of mining-contaminated sediment on flood plains is determined by several factors including the size and density of the contaminated particles, flood-plain width and topography, flood characteristics (frequency, magnitude, duration), and fluvial geomorphic processes. To evaluate within-site representativeness, additional samples were simultaneously collected to assess within-site variability. In this paper, the specific objectives were to:

\n
    \n
  1. Describe the collection and analysis of surficial-soil samples using a 5-point sampling technique;
    2. \n
  2. Describe the collection and analysis of additional surficial-soil samples to assess within-site variability; and
    3. \n
  3. Evaluate the within-site representativeness of the original 5-point samples for assessing mining-related contamination.
    4. \n
\n

 

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2015 Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling (SEDHYD 2015)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2015 Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling (SEDHYD 2015)","conferenceDate":"April 19-23, 2015","conferenceLocation":"Reno, NV","language":"English","publisher":"SEDHYD","usgsCitation":"Juracek, K.E., 2015, Representativeness of soil samples collected to assess mining-related contamination of flood plains in southeast Kansas, in 2015 Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling (SEDHYD 2015), Reno, NV, April 19-23, 2015, 8 p.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045073","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":325365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":325364,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sedhyd.org/2015/proceedings"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"578dfdb9e4b0f1bea0e0f8e6","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":642666,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70175740,"text":"70175740 - 2015 - Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia","interactions":[],"lastModifiedDate":"2016-08-31T11:31:15","indexId":"70175740","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia","docAbstract":"

The Mid-Atlantic region hosts some of the most mature karst landscapes in North America, developed in highly deformed rocks within the Piedmont and Valley and Ridge physiographic provinces. This guide describes a three-day excursion to examine karst development in various carbonate rocks by following Interstate 70 west from Baltimore across the eastern Piedmont, across the Frederick Valley, and into the Great Valley proper. The localities were chosen in order to examine the structural and lithological controls on karst feature development in marble, limestone, and dolostone rocks with an eye toward the implications for ancient landscape evolution, as well as for modern subsidence hazards. A number of caves will be visited, including two commercial caverns that reveal strikingly different histories of speleogenesis. Links between karst landscape development, hydrologic dynamics, and water resource sustainability will also be emphasized through visits to locally important springs. Recent work on quantitative dye tracing, spring water geochemistry, and groundwater modeling reveal the interaction between shallow and deep circulation of groundwater that has given rise to the modern karst landscape. Geologic and karst feature mapping conducted with the benefit of lidar data help reveal the strong bedrock structural controls on karst feature development, and illustrate the utility of geologic maps for assessment of sinkhole susceptibility.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tripping from the Fall Line: Field Excursions for the GSA Annual Meeting, Baltimore, 2015","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.0040(11)","usgsCitation":"Doctor, D.H., Weary, D.J., Brezinski, D.K., Orndorff, R.C., and Spangler, L.E., 2015, Karst of the Mid-Atlantic region in Maryland, West Virginia, and Virginia, chap. of Tripping from the Fall Line: Field Excursions for the GSA Annual Meeting, Baltimore, 2015, v. 40, p. 425-484, https://doi.org/10.1130/2015.0040(11).","productDescription":"60 p.","startPage":"425","endPage":"484","ipdsId":"IP-066715","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":328116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb7e4b0f2f0cebfc29e","contributors":{"editors":[{"text":"Brezinski, David K.","contributorId":49428,"corporation":false,"usgs":true,"family":"Brezinski","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647612,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Halka, Jeffrey","contributorId":96033,"corporation":false,"usgs":true,"family":"Halka","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":647613,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Ortt, Richard A. Jr.","contributorId":174166,"corporation":false,"usgs":false,"family":"Ortt","given":"Richard","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":647614,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":646258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":646259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brezinski, David K.","contributorId":49428,"corporation":false,"usgs":true,"family":"Brezinski","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":646260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":646261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spangler, Lawrence E. 0000-0003-3928-8809 spangler@usgs.gov","orcid":"https://orcid.org/0000-0003-3928-8809","contributorId":973,"corporation":false,"usgs":true,"family":"Spangler","given":"Lawrence","email":"spangler@usgs.gov","middleInitial":"E.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":646262,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175733,"text":"70175733 - 2015 - Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota","interactions":[],"lastModifiedDate":"2016-08-31T11:35:46","indexId":"70175733","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota","docAbstract":"Caves provide direct access to flows through the vadose zone that recharge karst aquifers. Although many recent studies have documented the highly dynamic processes associated with vadose zone flows in karst settings, few have been conducted in mantled karst settings, such as that of southeastern Minnesota. Here we present some results of a long-term program of cave drip monitoring conducted within Mystery Cave, Minnesota. In this study, two perennial ceiling drip sites were monitored between 1997 and 2001. The sites were located about 90 m (300 ft) apart along the same cave passage approximately 18 m (60 ft) below the surface; 7 to 9 m (20 to 30 ft) of loess and 12 m (40 ft) of flat-lying carbonate bedrock strata overlie the cave. Records of drip rate, electrical conductivity, and water temperature were obtained at 15 minute intervals, and supplemented with periodic sampling for major ion chemistry and water stable isotopes. Patterns in flow and geochemistry emerged at each of the two drip sites that were repeated year after year. Although one site responded relatively quickly (within 2-7 hours) to surface recharge events while the other responded more slowly (within 2-5 days), thresholds of antecedent moisture needed to be overcome in order to produce a discharge response at both sites. The greatest amount of flow was observed at both sites during the spring snowmelt period. Rainfall events less than 10 mm (0.4 in) during the summer months generally did not produce a drip discharge response, yet rapid drip responses were observed following intense storm events after periods of prolonged rainfall. The chemical data from both sites indicate that reservoirs of vadose zone water with distinct chemical signatures mixed during recharge events, and drip chemistry returned to a baseline composition during low flow periods. A reservoir with elevated chloride and sulfate concentrations impacts the slow-response drip site with each recharge event, but does not similarly affect the fast-response drip site. Nitrate concentrations in drip waters were generally less than 4.0 mg/L as NO3- (or less than 1 mg/L as N). Nitrate was either stable or slightly increased with drip rate at the fast-response drip site; in contrast, nitrate concentrations decreased with drip rate at the slow-response drip site.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst","conferenceDate":"October 5-9, 2015","conferenceLocation":"Rochester, MN","language":"English","publisher":"National Cave and Karst Research Institute","doi":"10.5038/9780991000951.1023","usgsCitation":"Doctor, D.H., Alexander, E.C., Jameson, R.A., and Alexander, S.C., 2015, Hydrologic and geochemical dynamics of vadose zone recharge in a mantled karst aquifer: Results of monitoring drip waters in Mystery Cave, Minnesota, in National Cave and Karst Research Institute Symposium 5, Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst, Rochester, MN, October 5-9, 2015, p. 19-30, https://doi.org/10.5038/9780991000951.1023.","productDescription":"12 p.","startPage":"19","endPage":"30","ipdsId":"IP-066732","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":471520,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarcommons.usf.edu/sinkhole_2015/ProceedingswithProgram/Upper_Mississippi_Valley_Karst_Aquifers/3","text":"External Repository"},{"id":328118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffb4e4b0f2f0cebfc275","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","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":646230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, E. Calvin Jr.","contributorId":173840,"corporation":false,"usgs":false,"family":"Alexander","given":"E.","suffix":"Jr.","email":"","middleInitial":"Calvin","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":646231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jameson, Roy A.","contributorId":173841,"corporation":false,"usgs":false,"family":"Jameson","given":"Roy","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":646232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Scott C.","contributorId":173842,"corporation":false,"usgs":false,"family":"Alexander","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":646233,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176189,"text":"70176189 - 2015 - Hydraulic modeling development and application in water resources engineering","interactions":[],"lastModifiedDate":"2016-09-01T13:04:20","indexId":"70176189","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hydraulic modeling development and application in water resources engineering","docAbstract":"

The use of modeling has become widespread in water resources engineering and science to study rivers, lakes, estuaries, and coastal regions. For example, computer models are commonly used to forecast anthropogenic effects on the environment, and to help provide advanced mitigation measures against catastrophic events such as natural and dam-break floods. Linking hydraulic models to vegetation and habitat models has expanded their use in multidisciplinary applications to the riparian corridor. Implementation of these models in software packages on personal desktop computers has made them accessible to the general engineering community, and their use has been popularized by the need of minimal training due to intuitive graphical user interface front ends. Models are, however, complex and nontrivial, to the extent that even common terminology is sometimes ambiguous and often applied incorrectly. In fact, many efforts are currently under way in order to standardize terminology and offer guidelines for good practice, but none has yet reached unanimous acceptance. This chapter provides a view of the elements involved in modeling surface flows for the application in environmental water resources engineering. It presents the concepts and steps necessary for rational model development and use by starting with the exploration of the ideas involved in defining a model. Tangible form of those ideas is provided by the development of a mathematical and corresponding numerical hydraulic model, which is given with a substantial amount of detail. The issues of model deployment in a practical and productive work environment are also addressed. The chapter ends by presenting a few model applications highlighting the need for good quality control in model validation.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in water resources engineering","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-11023-3_6","usgsCitation":"Simoes, F.J., 2015, Hydraulic modeling development and application in water resources engineering, chap. of Advances in water resources engineering, v. 14, p. 247-295, https://doi.org/10.1007/978-3-319-11023-3_6.","productDescription":"49 p.","startPage":"247","endPage":"295","ipdsId":"IP-057289","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":328162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-06","publicationStatus":"PW","scienceBaseUri":"57c9512ee4b0f2f0cec15bef","contributors":{"editors":[{"text":"Yang, Chih Ted","contributorId":51798,"corporation":false,"usgs":true,"family":"Yang","given":"Chih","email":"","middleInitial":"Ted","affiliations":[],"preferred":false,"id":647750,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wang, Lawrence K.","contributorId":174222,"corporation":false,"usgs":false,"family":"Wang","given":"Lawrence","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":647751,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Simoes, Francisco J. 0000-0002-0934-9730 frsimoes@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-9730","contributorId":2019,"corporation":false,"usgs":true,"family":"Simoes","given":"Francisco","email":"frsimoes@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":647665,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70176485,"text":"70176485 - 2015 - A spatial individual-based model predicting a great impact of copious sugar sources and resting sites on survival of Anopheles gambiae and malaria parasite transmission","interactions":[],"lastModifiedDate":"2016-09-19T08:57:02","indexId":"70176485","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2650,"text":"Malaria Journal","active":true,"publicationSubtype":{"id":10}},"title":"A spatial individual-based model predicting a great impact of copious sugar sources and resting sites on survival of Anopheles gambiae and malaria parasite transmission","docAbstract":"

Background

Agent-based modelling (ABM) has been used to simulate mosquito life cycles and to evaluate vector control applications. However, most models lack sugar-feeding and resting behaviours or are based on mathematical equations lacking individual level randomness and spatial components of mosquito life. Here, a spatial individual-based model (IBM) incorporating sugar-feeding and resting behaviours of the malaria vector Anopheles gambiae was developed to estimate the impact of environmental sugar sources and resting sites on survival and biting behaviour.

Methods

A spatial IBM containing An. gambiae mosquitoes and humans, as well as the village environment of houses, sugar sources, resting sites and larval habitat sites was developed. Anopheles gambiae behaviour rules were attributed at each step of the IBM: resting, host seeking, sugar feeding and breeding. Each step represented one second of time, and each simulation was set to run for 60 days and repeated 50 times. Scenarios of different densities and spatial distributions of sugar sources and outdoor resting sites were simulated and compared.

Results

When the number of natural sugar sources was increased from 0 to 100 while the number of resting sites was held constant, mean daily survival rate increased from 2.5% to 85.1% for males and from 2.5% to 94.5% for females, mean human biting rate increased from 0 to 0.94 bites per human per day, and mean daily abundance increased from 1 to 477 for males and from 1 to 1,428 for females. When the number of outdoor resting sites was increased from 0 to 50 while the number of sugar sources was held constant, mean daily survival rate increased from 77.3% to 84.3% for males and from 86.7% to 93.9% for females, mean human biting rate increased from 0 to 0.52 bites per human per day, and mean daily abundance increased from 62 to 349 for males and from 257 to 1120 for females. All increases were significant (P < 0.01). Survival was greater when sugar sources were randomly distributed in the whole village compared to clustering around outdoor resting sites or houses.

Conclusions

Increases in densities of sugar sources or outdoor resting sites significantly increase the survival and human biting rates of An. gambiae mosquitoes. Survival of An. gambiae is more supported by random distribution of sugar sources than clustering of sugar sources around resting sites or houses. Density and spatial distribution of natural sugar sources and outdoor resting sites modulate vector populations and human biting rates, and thus malaria parasite transmission.

","language":"English","publisher":"BioMed Central","doi":"10.1186/s12936-015-0555-0","usgsCitation":"Zhu, L., Qualls, W.A., Marshall, J.M., Arheart, K.L., DeAngelis, D.L., McManus, J.W., Traore, S.F., Doumbia, S., Schlein, Y., Muller, G.C., and Beier, J.C., 2015, A spatial individual-based model predicting a great impact of copious sugar sources and resting sites on survival of Anopheles gambiae and malaria parasite transmission: Malaria Journal, v. 14, no. 59, Article 59; 10 p., https://doi.org/10.1186/s12936-015-0555-0.","productDescription":"Article 59; 10 p.","ipdsId":"IP-069797","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":471534,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12936-015-0555-0","text":"Publisher Index Page"},{"id":328701,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"59","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-05","publicationStatus":"PW","scienceBaseUri":"57f7ee24e4b0bc0bec09e8a7","contributors":{"authors":[{"text":"Zhu, Lin","contributorId":174656,"corporation":false,"usgs":false,"family":"Zhu","given":"Lin","email":"","affiliations":[{"id":27490,"text":"Dept. of Public Health Sciences, Miller School of Medicine, University of Miami","active":true,"usgs":false}],"preferred":false,"id":648915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qualls, Whitney A.","contributorId":174657,"corporation":false,"usgs":false,"family":"Qualls","given":"Whitney","email":"","middleInitial":"A.","affiliations":[{"id":27490,"text":"Dept. of Public Health Sciences, Miller School of Medicine, University of Miami","active":true,"usgs":false}],"preferred":false,"id":648916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, John M","contributorId":174658,"corporation":false,"usgs":false,"family":"Marshall","given":"John","email":"","middleInitial":"M","affiliations":[{"id":27491,"text":"Dept. of Infectious Disease Epidemiology, Imperial College London, UK","active":true,"usgs":false}],"preferred":false,"id":648917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arheart, Kris L.","contributorId":174659,"corporation":false,"usgs":false,"family":"Arheart","given":"Kris","email":"","middleInitial":"L.","affiliations":[{"id":27490,"text":"Dept. of Public Health Sciences, Miller School of Medicine, University of Miami","active":true,"usgs":false}],"preferred":false,"id":648918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","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":648914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McManus, John W.","contributorId":174660,"corporation":false,"usgs":false,"family":"McManus","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":27492,"text":"Dept. of Marine Biology and Ecology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":648919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Traore, Sekou F.","contributorId":174661,"corporation":false,"usgs":false,"family":"Traore","given":"Sekou","email":"","middleInitial":"F.","affiliations":[{"id":27493,"text":"Malaria Research and Training Center, University of Bamako, Mali","active":true,"usgs":false}],"preferred":false,"id":648920,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Doumbia, Seydou","contributorId":174662,"corporation":false,"usgs":false,"family":"Doumbia","given":"Seydou","email":"","affiliations":[{"id":27493,"text":"Malaria Research and Training Center, University of Bamako, Mali","active":true,"usgs":false}],"preferred":false,"id":648921,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schlein, Yosef","contributorId":174663,"corporation":false,"usgs":false,"family":"Schlein","given":"Yosef","email":"","affiliations":[{"id":27494,"text":"Dept. of Microbiology and Molecular Genetics, Hebrew University, Jerusalem, Israel","active":true,"usgs":false}],"preferred":false,"id":648922,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Muller, Gunter C.","contributorId":174664,"corporation":false,"usgs":false,"family":"Muller","given":"Gunter","email":"","middleInitial":"C.","affiliations":[{"id":27494,"text":"Dept. of Microbiology and Molecular Genetics, Hebrew University, Jerusalem, Israel","active":true,"usgs":false}],"preferred":false,"id":648923,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Beier, John C.","contributorId":174665,"corporation":false,"usgs":false,"family":"Beier","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":27490,"text":"Dept. of Public Health Sciences, Miller School of Medicine, University of Miami","active":true,"usgs":false}],"preferred":false,"id":648924,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70176444,"text":"70176444 - 2015 - Cr(VI) occurrence and geochemistry in water from public-supply wells in California","interactions":[],"lastModifiedDate":"2016-09-14T11:36:56","indexId":"70176444","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Cr(VI) occurrence and geochemistry in water from public-supply wells in California","docAbstract":"

Hexavalent chromium, Cr(VI), in 918 wells sampled throughout California between 2004 and 2012 by the Groundwater Ambient Monitoring and Assessment-Priority Basin Project (GAMA-PBP) ranged from less than the study reporting limit of 1 microgram per liter (μg/L) to 32 μg/L. Statewide, Cr(VI) was reported in 31 percent of wells and equaled or exceeded the recently established (2014) California Maximum Contaminant Level (MCL) for Cr(VI) of 10 μg/L in 4 percent of wells. Cr(VI) data collected for regulatory purposes overestimated Cr(VI) occurrence compared to spatially-distributed GAMA-PBP data. Ninety percent of chromium was present as Cr(VI), which was detected more frequently and at higher concentrations in alkaline (pH ≥ 8), oxic water; and more frequently in agricultural and urban land uses compared to native land uses. Chemical, isotopic (tritium and carbon-14), and noble-gas data show high Cr(VI) in water from wells in alluvial aquifers in the southern California deserts result from long groundwater-residence times and geochemical reactions such as silicate weathering that increase pH, while oxic conditions persist. High Cr(VI) in water from wells in alluvial aquifers along the west-side of the Central Valley results from high-chromium in source rock eroded to form those aquifers, and areal recharge processes (including irrigation return) that can mobilize chromium from the unsaturated zone. Cr(VI) co-occurred with oxyanions having similar chemistry, including vanadium, selenium, and uranium. Cr(VI) was positively correlated with nitrate, consistent with increased concentrations in areas of agricultural land use and mobilization of chromium from the unsaturated zone by irrigation return.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2015.08.007","usgsCitation":"Izbicki, J.A., Wright, M., Seymour, W.A., McCleskey, R.B., Fram, M.S., Belitz, K., and Esser, B.K., 2015, Cr(VI) occurrence and geochemistry in water from public-supply wells in California: Applied Geochemistry, v. 63, p. 203-217, https://doi.org/10.1016/j.apgeochem.2015.08.007.","productDescription":"15 p.","startPage":"203","endPage":"217","ipdsId":"IP-060886","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":471517,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2015.08.007","text":"Publisher Index Page"},{"id":328634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":648782,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648783,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648784,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Esser, Bradley K.","contributorId":33161,"corporation":false,"usgs":true,"family":"Esser","given":"Bradley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":648785,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70176497,"text":"70176497 - 2015 - A 2-D process-based model for suspended sediment dynamics: A first step towards ecological modeling","interactions":[],"lastModifiedDate":"2016-09-19T14:35:11","indexId":"70176497","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A 2-D process-based model for suspended sediment dynamics: A first step towards ecological modeling","docAbstract":"

In estuaries suspended sediment concentration (SSC) is one of the most important contributors to turbidity, which influences habitat conditions and ecological functions of the system. Sediment dynamics differs depending on sediment supply and hydrodynamic forcing conditions that vary over space and over time. A robust sediment transport model is a first step in developing a chain of models enabling simulations of contaminants, phytoplankton and habitat conditions.

This works aims to determine turbidity levels in the complex-geometry delta of the San Francisco estuary using a process-based approach (Delft3D Flexible Mesh software). Our approach includes a detailed calibration against measured SSC levels, a sensitivity analysis on model parameters and the determination of a yearly sediment budget as well as an assessment of model results in terms of turbidity levels for a single year, water year (WY) 2011.

Model results show that our process-based approach is a valuable tool in assessing sediment dynamics and their related ecological parameters over a range of spatial and temporal scales. The model may act as the base model for a chain of ecological models assessing the impact of climate change and management scenarios. Here we present a modeling approach that, with limited data, produces reliable predictions and can be useful for estuaries without a large amount of processes data.

","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-19-2837-2015","usgsCitation":"Achete, F., van der Wegen, M., Roelvink, D., and Jaffe, B., 2015, A 2-D process-based model for suspended sediment dynamics: A first step towards ecological modeling: Hydrology and Earth System Sciences, v. 19, no. 6, p. 2837-2857, https://doi.org/10.5194/hess-19-2837-2015.","productDescription":"21 p.","startPage":"2837","endPage":"2857","ipdsId":"IP-062770","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471516,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-19-2837-2015","text":"Publisher Index Page"},{"id":328732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-19","publicationStatus":"PW","scienceBaseUri":"57f7ee24e4b0bc0bec09e8a5","contributors":{"authors":[{"text":"Achete, F. M.","contributorId":174694,"corporation":false,"usgs":false,"family":"Achete","given":"F. M.","affiliations":[],"preferred":false,"id":649013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Wegen, M.","contributorId":106720,"corporation":false,"usgs":true,"family":"van der Wegen","given":"M.","affiliations":[],"preferred":false,"id":649014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelvink, D.","contributorId":26516,"corporation":false,"usgs":true,"family":"Roelvink","given":"D.","email":"","affiliations":[],"preferred":false,"id":649015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, B.","contributorId":78517,"corporation":false,"usgs":true,"family":"Jaffe","given":"B.","affiliations":[],"preferred":false,"id":649016,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173633,"text":"70173633 - 2015 - Guidelines for evaluating performance of oyster habitat restoration","interactions":[],"lastModifiedDate":"2016-06-08T13:03:58","indexId":"70173633","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Guidelines for evaluating performance of oyster habitat restoration","docAbstract":"

Restoration of degraded ecosystems is an important societal goal, yet inadequate monitoring and the absence of clear performance metrics are common criticisms of many habitat restoration projects. Funding limitations can prevent adequate monitoring, but we suggest that the lack of accepted metrics to address the diversity of restoration objectives also presents a serious challenge to the monitoring of restoration projects. A working group with experience in designing and monitoring oyster reef projects was used to develop standardized monitoring metrics, units, and performance criteria that would allow for comparison among restoration sites and projects of various construction types. A set of four universal metrics (reef areal dimensions, reef height, oyster density, and oyster size–frequency distribution) and a set of three universal environmental variables (water temperature, salinity, and dissolved oxygen) are recommended to be monitored for all oyster habitat restoration projects regardless of their goal(s). In addition, restoration goal-based metrics specific to four commonly cited ecosystem service-based restoration goals are recommended, along with an optional set of seven supplemental ancillary metrics that could provide information useful to the interpretation of prerestoration and postrestoration monitoring data. Widespread adoption of a common set of metrics with standardized techniques and units to assess well-defined goals not only allows practitioners to gauge the performance of their own projects but also allows for comparison among projects, which is both essential to the advancement of the field of oyster restoration and can provide new knowledge about the structure and ecological function of oyster reef ecosystems.

","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.12262","usgsCitation":"Baggett, L.P., Powers, S.P., Brumbaugh, R.D., Coen, L.D., DeAngelis, B.M., Greene, J.K., Hancock, B.T., Morlock, S.M., Allen, B.L., Breitburg, D.L., Bushek, D., Grabowski, J., Grizzle, R.E., Grosholz, E., LaPeyre, M.K., Luckenbach, M.W., McGraw, K.A., Piehler, M.F., Westby, S.R., and zu Ermgassen, P., 2015, Guidelines for evaluating performance of oyster habitat restoration: Restoration Ecology, v. 23, no. 6, p. 737-745, https://doi.org/10.1111/rec.12262.","productDescription":"9 p.","startPage":"737","endPage":"745","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056583","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-02","publicationStatus":"PW","scienceBaseUri":"575941f3e4b04f417c256871","contributors":{"authors":[{"text":"Baggett, Lesley P.","contributorId":171552,"corporation":false,"usgs":false,"family":"Baggett","given":"Lesley","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":637926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powers, Sean P.","contributorId":138867,"corporation":false,"usgs":false,"family":"Powers","given":"Sean","email":"","middleInitial":"P.","affiliations":[{"id":12554,"text":"University of South Alabama and Dauphin Island Sea Lab, Dauphin","active":true,"usgs":false}],"preferred":false,"id":637927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, Robert 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E.","contributorId":171568,"corporation":false,"usgs":false,"family":"zu Ermgassen","given":"Philine S. 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Fishery biologists are increasingly recognizing the importance of considering the dynamic nature of streams when developing streamflow policies. Such approaches require information on how flow regimes influence the physical environment and how those factors, in turn, affect species-specific demographic rates. A more cost-effective alternative could be the use of dynamic occupancy models to predict how species are likely to respond to changes in flow. To appraise the efficacy of this approach, we evaluated relative support for hypothesized effects of seasonal streamflow components, stream channel characteristics, and fish species traits on local extinction, colonization, and recruitment (meta-demographic rates) of stream fishes. We used 4 years of seasonal fish collection data from 23 streams to fit multistate, multiseason occupancy models for 42 fish species in the lower Flint River Basin, Georgia. Modelling results suggested that meta-demographic rates were influenced by streamflows, particularly short-term (10-day) flows. Flow effects on meta-demographic rates also varied with stream size, channel morphology, and fish species traits. Small-bodied species with generalized life-history characteristics were more resilient to flow variability than large-bodied species with specialized life-history characteristics. Using this approach, we simplified the modelling framework, thereby facilitating the development of dynamic, spatially explicit evaluations of the ecological consequences of water resource development activities over broad geographic areas. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.

","language":"English","doi":"10.1002/rra.2835","usgsCitation":"Peterson, J., and Shea, C., 2015, An evaluation of the relations between flow regime components, stream characteristics, species traits and meta-demographic rates of warmwater stream fishes: Implications for aquatic resource management: River Research and Applications, v. 31, no. 10, p. 1227-1241, https://doi.org/10.1002/rra.2835.","productDescription":"10 p.","startPage":"1227","endPage":"1241","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055636","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Flint River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.8858642578125,\n 30.718226523201352\n ],\n [\n -84.2816162109375,\n 30.7937555812177\n ],\n [\n -84.0234375,\n 31.168159735435708\n ],\n [\n -84.034423828125,\n 31.637013986617973\n ],\n [\n -84.35028076171875,\n 31.800558330295235\n ],\n [\n -84.5672607421875,\n 31.884554393746278\n ],\n [\n -84.85015869140625,\n 31.828565514766165\n ],\n [\n -84.8858642578125,\n 30.718226523201352\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-09-17","publicationStatus":"PW","scienceBaseUri":"575a932fe4b04f417c275122","contributors":{"authors":[{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shea, C.P.","contributorId":92885,"corporation":false,"usgs":true,"family":"Shea","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":638342,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173592,"text":"70173592 - 2015 - Evaluation of methods for assessing physiological biomarkers of stress in freshwater mussels","interactions":[],"lastModifiedDate":"2016-06-13T14:44:27","indexId":"70173592","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of methods for assessing physiological biomarkers of stress in freshwater mussels","docAbstract":"

Freshwater mussel populations are highly susceptible to environmental alterations because of their diminished numbers and primarily sessile behaviors; nonlethal biomonitoring programs are needed to evaluate the health of populations prior to mass mortality events. Our objectives were to determine (i) which biochemical parameters in freshwater mussel hemolymph could be consistently quantified, (ii) how hemolymph parameters and tissue glycogen respond to a thermal stress gradient (25, 30, and 35 °C), and (iii) the effects of tissue and hemolymph extraction on long-term growth and survival of smaller- and larger-bodied mussel species. Glucose exhibited elevated expression in both species with increasing water temperature. Two transaminase enzymes had elevated expression in the 30 °C treatment. The effects of hemolymph extraction and tissue biopsies were evaluated with a large-bodied species, Elliptio crassidens, and a smaller species, Villosa vibex. Individuals were monitored for 820 to 945 days after one of four treatments: hemolymph extraction, tissue biopsy, tissue and hemolymph extraction, and control. Hemolymph extraction and tissue biopsy adversely affected survival of V. vibex, suggesting that these extraction methods may add some risk of reduced survival to smaller-bodied species. Survival of E. crassidens was not impaired by any of the treatments, supporting the use of these techniques in nonlethal biomonitoring programs for larger-bodied mussel species.

","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0564","usgsCitation":"Fritts, A., Peterson, J., Hazelton, P.D., and Bringolf, R.B., 2015, Evaluation of methods for assessing physiological biomarkers of stress in freshwater mussels: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 10, p. 1450-1459, https://doi.org/10.1139/cjfas-2014-0564.","productDescription":"10 p.","startPage":"1450","endPage":"1459","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059689","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fd92de4b04f417c2baa16","contributors":{"authors":[{"text":"Fritts, Andrea K.","contributorId":139240,"corporation":false,"usgs":false,"family":"Fritts","given":"Andrea K.","affiliations":[],"preferred":false,"id":638576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter D.","contributorId":171765,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bringolf, Robert B.","contributorId":139241,"corporation":false,"usgs":true,"family":"Bringolf","given":"Robert","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638578,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}