The winter meeting of the NASA-U.S. Geological Survey (USGS) Landsat Science Team (LST) was held January 10-12, 2017, at Boston University. LST co-chairs Tom Loveland [USGS’s Earth Resources Observation and Science Center (EROS)—Senior Scientist], Jim Irons [NASA’s Goddard Space Flight Center (GSFC)—Deputy Director, Earth Sciences Division], and Curtis Woodcock [Boston University—Professor and LST Co-Leader] welcomed the participants to the three-day meeting. The group immediately and enthusiastically recognized Woodcock’s receipt of the 2016 Pecora Award. Loveland summarized the primary meeting objectives to identify priorities for future Landsat measurements and to begin identifying next-generation Landsat products. He also discussed USGS’s plans to issue a request for proposals for membership on the 2018-2023 LST (i.e., the next five-year term). Irons stressed Landsat’s bipartisan support but cautioned against complacency when looking toward future capabilities. Meeting presentations are available at https://landsat.usgs.gov/landsat-science-teammeeting-jan-10-12-2017.
","language":"English","publisher":"NASA","usgsCitation":"Loveland, T., Wulder, M.A., and Irons, J.R., 2017, Landsat Science Team: 2017 Winter meeting summary: The Earth Observer, v. 29, no. 3, p. 21-25.","productDescription":"5 p.","startPage":"21","endPage":"25","ipdsId":"IP-085721","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":339608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381443,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://eospso.nasa.gov/earthobserver/may-jun-2017"}],"volume":"29","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ef3da9e4b0eed1ab8e3bd2","contributors":{"authors":[{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":686696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wulder, Michael A.","contributorId":189990,"corporation":false,"usgs":false,"family":"Wulder","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":686697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irons, James R.","contributorId":59284,"corporation":false,"usgs":false,"family":"Irons","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":686698,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190047,"text":"70190047 - 2017 - A new model for turbidity current behavior based on integration of flow monitoring and precision coring in a submarine canyon","interactions":[],"lastModifiedDate":"2017-08-07T17:09:12","indexId":"70190047","displayToPublicDate":"2017-04-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"A new model for turbidity current behavior based on integration of flow monitoring and precision coring in a submarine canyon","docAbstract":"Submarine turbidity currents create some of the largest sediment accumulations on Earth, yet there are few direct measurements of these flows. Instead, most of our understanding of turbidity currents results from analyzing their deposits in the sedimentary record. However, the lack of direct flow measurements means that there is considerable debate regarding how to interpret flow properties from ancient deposits. This novel study combines detailed flow monitoring with unusually precisely located cores at different heights, and multiple locations, within the Monterey submarine canyon, offshore California, USA. Dating demonstrates that the cores include the time interval that flows were monitored in the canyon, albeit individual layers cannot be tied to specific flows. There is good correlation between grain sizes collected by traps within the flow and grain sizes measured in cores from similar heights on the canyon walls. Synthesis of flow and deposit data suggests that turbidity currents sourced from the upper reaches of Monterey Canyon comprise three flow phases. Initially, a thin (38–50 m) powerful flow in the upper canyon can transport, tilt, and break the most proximal moorings and deposit chaotic sands and gravel on the canyon floor. The initially thin flow front then thickens and deposits interbedded sands and silty muds on the canyon walls as much as 62 m above the canyon floor. Finally, the flow thickens along its length, thus lofting silty mud and depositing it at greater altitudes than the previous deposits and in excess of 70 m altitude.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G38764.1","usgsCitation":"Symons, W.O., Sumner, E.J., Paull, C.K., Cartigny, M.J., Xu, J., Maier, K., Lorenson, T., and Talling, P.J., 2017, A new model for turbidity current behavior based on integration of flow monitoring and precision coring in a submarine canyon: Geology, v. 45, no. 4, p. 367-370, https://doi.org/10.1130/G38764.1.","productDescription":"4 p.","startPage":"367","endPage":"370","ipdsId":"IP-075966","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469934,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g38764.1","text":"Publisher Index Page"},{"id":344623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-01","publicationStatus":"PW","scienceBaseUri":"59897c15e4b09fa1cb0c2c04","contributors":{"authors":[{"text":"Symons, William O.","contributorId":195511,"corporation":false,"usgs":false,"family":"Symons","given":"William","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":707308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sumner, Esther J.","contributorId":195512,"corporation":false,"usgs":false,"family":"Sumner","given":"Esther","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":707309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":707310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cartigny, Matthieu J.B.","contributorId":195513,"corporation":false,"usgs":false,"family":"Cartigny","given":"Matthieu","email":"","middleInitial":"J.B.","affiliations":[],"preferred":false,"id":707311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xu, Jingping","contributorId":195514,"corporation":false,"usgs":false,"family":"Xu","given":"Jingping","affiliations":[],"preferred":false,"id":707312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maier, Katherine L.","contributorId":91411,"corporation":false,"usgs":true,"family":"Maier","given":"Katherine L.","affiliations":[],"preferred":false,"id":707307,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":707313,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Talling, Peter J.","contributorId":195515,"corporation":false,"usgs":false,"family":"Talling","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":707314,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70184176,"text":"70184176 - 2017 - Final data report for factors controlling DDE dechlorination rates on the Palos Verdes Shelf: A field and laboratory investigation","interactions":[],"lastModifiedDate":"2019-03-06T13:44:23","indexId":"70184176","displayToPublicDate":"2017-04-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Final data report for factors controlling DDE dechlorination rates on the Palos Verdes Shelf: A field and laboratory investigation","docAbstract":"This data report provides a compilation of information developed over the last 6+ years by a\nmulti-disciplinary, multi-institutional research team. The overall goal of this work has been to\nidentify the biological, chemical, and physical factors that control rates of reductive\ndechlorination of DDE and DDMU in sediments of the Palos Verdes Shelf (PVS). More specific\nquestions and objectives are delineated in the Scope of Work (section 12.1., Appendix 1).\nThe study was composed of two parts: 1) field characterization studies, and 2) laboratory\nmicrocosm experiments. The goal of the field characterization studies was to define the\nconditions under which reductive dechlorination of DDE (and DDMU) is occurring in PVS\nsediments. This involved two separate cruises (2009, 2010) during which sediment cores,\nbottom water and other real-time field measurements (e.g., conductivity, temperature, depth of\nthe water column) were acquired. The sediment cores were distributed among research team\nmembers for detailed chemical (R. Eganhouse, B. Orem, M. Reinhard), microbiological (A.\nSpormann), and physical (B. Edwards) analysis as well as for laboratory microcosm experiments\n(M. Reinhard). A team of collaborating USGS scientists generously contributed valuable\ninformation pertaining to geochronology (P. Swarzenski), the character of sedimentary\ngeosorbent phases (P. Hackley), mineralogy (D. Webster), and grain-size characteristics (C.\nSherwood) of PVS sediment samples.\nTogether, this information will serve as framework for a conceptual model of natural degradation\nprocesses in the DDT-contaminated sediments on the PVS. These findings will enable the\nUSEPA to gain a better understanding of the controls on reductive dechlorination and how\ndechlorination rates vary spatially and temporally. This, in turn, should facilitate decision\nmaking concerning the progress of natural attenuation and when monitoring at the site can be\nterminated. Toward that end, a brief Synthesis Report, summarizing and interpreting the\nacquired data, is being prepared and will be released in the coming year.","language":"English","publisher":"U.S. Environmental Protection Agency","usgsCitation":"Eganhouse, R., Pontolillo, J., Orem, W.H., Webster, D.M., Hackley, P.C., Edwards, B.D., Rosenberger, K.J., Dickhudt, P., Sherwood, C.R., Reinhard, M., Qin, S., Dougherty, J., Hopkins, G., Marshall, I., and Spormann, A., 2017, Final data report for factors controlling DDE dechlorination rates on the Palos Verdes Shelf: A field and laboratory investigation, Zip File.","productDescription":"Zip File","ipdsId":"IP-063652","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":339628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":336716,"type":{"id":15,"text":"Index Page"},"url":"https://cumulis.epa.gov/supercpad/cursites/cscdocument.cfm?id=0900993&doc=Y&colid=36797"}],"country":"United States","otherGeospatial":"Palos Verdes Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.44085693359375,\n 33.773439833797724\n ],\n [\n -118.47381591796875,\n 33.799691173251084\n ],\n [\n -118.5163879394531,\n 33.78827853625996\n ],\n [\n -118.52600097656249,\n 33.76773195605407\n ],\n [\n -118.5150146484375,\n 33.75174787568194\n ],\n [\n -118.50128173828125,\n 33.71291698851023\n ],\n [\n -118.48205566406249,\n 33.678639851675555\n ],\n [\n -118.44223022460938,\n 33.64434904445888\n ],\n [\n -118.4230041503906,\n 33.63062889539564\n ],\n [\n -118.3941650390625,\n 33.618050171974545\n ],\n [\n -118.34747314453125,\n 33.622624465698685\n ],\n [\n -118.31039428710936,\n 33.63634588982396\n ],\n [\n -118.28018188476561,\n 33.67406853374198\n ],\n [\n -118.29666137695311,\n 33.687781758439364\n ],\n [\n -118.32550048828124,\n 33.70377775573253\n ],\n [\n -118.36120605468747,\n 33.72205524868731\n ],\n [\n -118.39691162109375,\n 33.7243396617476\n ],\n [\n -118.41339111328125,\n 33.73119253613475\n ],\n [\n -118.42849731445312,\n 33.75060604160645\n ],\n [\n -118.44085693359375,\n 33.773439833797724\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ef3dabe4b0eed1ab8e3bdc","contributors":{"authors":[{"text":"Eganhouse, Robert P. eganhous@usgs.gov","contributorId":2031,"corporation":false,"usgs":true,"family":"Eganhouse","given":"Robert P.","email":"eganhous@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":680343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pontolillo, James jpontoli@usgs.gov","contributorId":2033,"corporation":false,"usgs":true,"family":"Pontolillo","given":"James","email":"jpontoli@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":680344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":680345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webster, Daniel M. webster@usgs.gov","contributorId":3529,"corporation":false,"usgs":true,"family":"Webster","given":"Daniel","email":"webster@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - 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2017 - Expanded target-chemical analysis reveals extensive mixed-organic-contaminant exposure in USA streams","interactions":[],"lastModifiedDate":"2018-09-13T13:52:56","indexId":"70186864","displayToPublicDate":"2017-04-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Expanded target-chemical analysis reveals extensive mixed-organic-contaminant exposure in USA streams","docAbstract":"Surface water from 38 streams nationwide was assessed using 14 target-organic methods (719 compounds). Designed-bioactive anthropogenic contaminants (biocides, pharmaceuticals) comprised 57% of 406 organics detected at least once. The 10 most-frequently detected anthropogenic-organics included eight pesticides (desulfinylfipronil, AMPA, chlorpyrifos, dieldrin, metolachlor, atrazine, CIAT, glyphosate) and two pharmaceuticals (caffeine, metformin) with detection frequencies ranging 66–84% of all sites. Detected contaminant concentrations varied from less than 1 ng L–1 to greater than 10 μg L–1, with 77 and 278 having median detected concentrations greater than 100 ng L–1 and 10 ng L–1, respectively. Cumulative detections and concentrations ranged 4–161 compounds (median 70) and 8.5–102 847 ng L–1, respectively, and correlated significantly with wastewater discharge, watershed development, and toxic release inventory metrics. Log10 concentrations of widely monitored HHCB, triclosan, and carbamazepine explained 71–82% of the variability in the total number of compounds detected (linear regression; p-values: < 0.001–0.012), providing a statistical inference tool for unmonitored contaminants. Due to multiple modes of action, high bioactivity, biorecalcitrance, and direct environment application (pesticides), designed-bioactive organics (median 41 per site at μg L–1 cumulative concentrations) in developed watersheds present aquatic health concerns, given their acknowledged potential for sublethal effects to sensitive species and lifecycle stages at low ng L–1.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b00012","usgsCitation":"Bradley, P.M., Journey, C.A., Romanok, K.M., Barber, L.B., Buxton, H.T., Foreman, W.T., Furlong, E.T., Glassmeyer, S.T., Hladik, M., Iwanowicz, L., Jones, D.K., Kolpin, D.W., Kuivila, K.M., Loftin, K.A., Mills, M.A., Meyer, M.T., Orlando, J.L., Reilly, T.J., Smalling, K., and Villeneuve, D.L., 2017, Expanded target-chemical analysis reveals extensive mixed-organic-contaminant exposure in USA streams: Environmental Science & Technology, v. 51, no. 9, p. 4792-4802, https://doi.org/10.1021/acs.est.7b00012.","productDescription":"11 p.","startPage":"4792","endPage":"4802","ipdsId":"IP-080387","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":469933,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5695041","text":"Publisher Index Page"},{"id":438377,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70863G5","text":"USGS data release","linkHelpText":"Targeted-Organic-Chemical Analysis Concentration Data for Surface-Water Samples Collected from 38 Stream Sites across the USA during 2012-2014"},{"id":339592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"51","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-12","publicationStatus":"PW","scienceBaseUri":"58ef3da8e4b0eed1ab8e3bca","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":189681,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanok, Kristin M. 0000-0002-8472-8765 kromanok@usgs.gov","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":189680,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin","email":"kromanok@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Larry B. 0000-0002-0561-0831 lbbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":921,"corporation":false,"usgs":true,"family":"Barber","given":"Larry","email":"lbbarber@usgs.gov","middleInitial":"B.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":690695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buxton, Herbert T.","contributorId":178698,"corporation":false,"usgs":false,"family":"Buxton","given":"Herbert","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":690697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foreman, William T. 0000-0002-2530-3310 wforeman@usgs.gov","orcid":"https://orcid.org/0000-0002-2530-3310","contributorId":190786,"corporation":false,"usgs":true,"family":"Foreman","given":"William","email":"wforeman@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":690698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690699,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glassmeyer, Susan T.","contributorId":184135,"corporation":false,"usgs":false,"family":"Glassmeyer","given":"Susan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":690700,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hladik, Michelle L. 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":189904,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":690701,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":150383,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R. ","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":690702,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690703,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690704,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kuivila, Kathryn M. 0000-0001-7940-489X","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":189870,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":690725,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":690726,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Mills, Marc A.","contributorId":141085,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":690727,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":690728,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Orlando, James L. 0000-0002-0099-7221 jorlando@usgs.gov","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":1368,"corporation":false,"usgs":true,"family":"Orlando","given":"James","email":"jorlando@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":690729,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":690730,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":149769,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L. ","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":690731,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Villeneuve, Daniel L.","contributorId":32091,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":690732,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70186865,"text":"70186865 - 2017 - Occurrence and in vitro bioactivity of estrogen, androgen, and glucocorticoid compounds in a nationwide screen of United States stream waters","interactions":[],"lastModifiedDate":"2017-07-12T16:07:27","indexId":"70186865","displayToPublicDate":"2017-04-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence and in vitro bioactivity of estrogen, androgen, and glucocorticoid compounds in a nationwide screen of United States stream waters","docAbstract":"In vitro bioassays are sensitive, effect-based tools used to quantitatively screen for chemicals with nuclear receptor activity in environmental samples. We measured in vitro estrogen (ER), androgen (AR), and glucocorticoid receptor (GR) activity, along with a broad suite of chemical analytes, in streamwater from 35 well-characterized sites (3 reference and 32 impacted) across 24 states and Puerto Rico. ER agonism was the most frequently detected with nearly all sites (34/35) displaying activity (range, 0.054–116 ng E2Eq L–1). There was a strong linear relationship (r2 = 0.917) between in vitro ER activity and concentrations of steroidal estrogens after correcting for the in vitro potency of each compound. AR agonism was detected in 5/35 samples (range, 1.6–4.8 ng DHTEq L–1) but concentrations of androgenic compounds were largely unable to account for the in vitro activity. Similarly, GR agonism was detected in 9/35 samples (range, 6.0–43 ng DexEq L–1); however, none of the recognized GR-active compounds on the target-chemical analyte list were detected. The utility of in vitro assays in water quality monitoring was evident from both the quantitative agreement between ER activity and estrogen concentrations, as well as the detection of AR and GR activity for which there were limited or no corresponding target-chemical detections to explain the bioactivity. Incorporation of in vitro bioassays as complements to chemical analyses in standard water quality monitoring efforts would allow for more complete assessment of the chemical mixtures present in many surface waters.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.6b06515","usgsCitation":"Conley, J.M., Evans, N., Cardon, M.C., Rosenblum, L., Iwanowicz, L.R., Hartig, P.C., Schenck, K.M., Bradley, P.M., and Wilson, V.S., 2017, Occurrence and in vitro bioactivity of estrogen, androgen, and glucocorticoid compounds in a nationwide screen of United States stream waters: Environmental Science & Technology, v. 51, no. 9, p. 4781-4791, https://doi.org/10.1021/acs.est.6b06515.","productDescription":"11 p.","startPage":"4781","endPage":"4791","ipdsId":"IP-083493","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":469930,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11247474","text":"External Repository"},{"id":339593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"51","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-12","publicationStatus":"PW","scienceBaseUri":"58ef3da7e4b0eed1ab8e3bc8","contributors":{"authors":[{"text":"Conley, Justin M.","contributorId":184086,"corporation":false,"usgs":false,"family":"Conley","given":"Justin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":690714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Nicola","contributorId":184087,"corporation":false,"usgs":false,"family":"Evans","given":"Nicola","email":"","affiliations":[],"preferred":false,"id":690715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cardon, Mary C.","contributorId":190792,"corporation":false,"usgs":false,"family":"Cardon","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":690716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenblum, Laura","contributorId":184089,"corporation":false,"usgs":false,"family":"Rosenblum","given":"Laura","email":"","affiliations":[],"preferred":false,"id":690717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":690718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartig, Phillip C.","contributorId":190793,"corporation":false,"usgs":false,"family":"Hartig","given":"Phillip","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":690719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schenck, Kathleen M.","contributorId":184136,"corporation":false,"usgs":false,"family":"Schenck","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":690720,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690713,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilson, Vickie S. 0000-0003-1661-8481","orcid":"https://orcid.org/0000-0003-1661-8481","contributorId":184092,"corporation":false,"usgs":false,"family":"Wilson","given":"Vickie","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":690721,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70186868,"text":"70186868 - 2017 - Simulation of rapid ecological change in Lake Ontario","interactions":[],"lastModifiedDate":"2017-09-11T12:54:47","indexId":"70186868","displayToPublicDate":"2017-04-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of rapid ecological change in Lake Ontario","docAbstract":"Lower trophic level processes are integral to proper functioning of large aquatic ecosystems and have been disturbed in Lake Ontario by various stressors including exotic species. The invasion of benthic habitats by dreissenid mussels has led to systemic changes and native faunal declines. Size-dependent physiological rates, spatial differences and connectivity, competition, and differential population dynamics among invertebrate groups contributed to the change and system complexity. We developed a spatially explicit, individual-based mechanistic model of the benthic ecosystem in Lake Ontario, with coupling to the pelagic system, to examine ecosystem dynamics and effects of dreissenid mussel invasion and native fauna losses. Benthic organisms were represented by functional groups; filter-feeders (i.e., dreissenid mussels), surface deposit-feeders (e.g., native amphipod Diporeia spp.), and deposit-feeders (e.g., oligochaetes and other burrowers). The model was stable, represented ecological structure and function effectively, and reproduced observed effects of the mussel invasion. Two hypotheses for causes of Diporeia loss, competition or disease-like mortality, were tested. Simple competition for food did not explain observed declines in native surface deposit-feeders during the filter-feeder invasion. However, the elevated mortality scenario supports a disease-like cause for loss of the native amphipod, with population changes in various lake areas and altered benthic biomass transfers. Stabilization of mussel populations and possible recovery of the native, surface-deposit feeding amphipod were predicted. Although further research is required on forcing functions, model parameters, and natural conditions, the model provides a valuable tool to help managers understand the benthic system and plan for response to future disruptions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2017.03.008","usgsCitation":"McKenna, J., Chalupnicki, M., Dittman, D.E., and Watkins, J.M., 2017, Simulation of rapid ecological change in Lake Ontario: Journal of Great Lakes Research, v. 43, no. 5, p. 871-889, https://doi.org/10.1016/j.jglr.2017.03.008.","productDescription":"19 p.","startPage":"871","endPage":"889","ipdsId":"IP-064471","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469931,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2017.03.008","text":"Publisher Index Page"},{"id":339623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.9530029296875,\n 43.17313537107136\n ],\n [\n -76.0858154296875,\n 43.17313537107136\n ],\n [\n -76.0858154296875,\n 44.27273816279087\n ],\n [\n -79.9530029296875,\n 44.27273816279087\n ],\n [\n -79.9530029296875,\n 43.17313537107136\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"5","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ef3da7e4b0eed1ab8e3bc6","chorus":{"doi":"10.1016/j.jglr.2017.03.008","url":"http://dx.doi.org/10.1016/j.jglr.2017.03.008","publisher":"Elsevier BV","authors":"McKenna James E., Chalupnicki Marc, Dittman Dawn, Watkins James M.","journalName":"Journal of Great Lakes Research","publicationDate":"4/2017"},"contributors":{"authors":[{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":190798,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":690734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalupnicki, Marc 0000-0002-3792-9345 mchalupnicki@usgs.gov","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":173643,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":690735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":690736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Watkins, James M.","contributorId":189286,"corporation":false,"usgs":false,"family":"Watkins","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":690737,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186845,"text":"70186845 - 2017 - Voluminous arc dacites as amphibole reaction-boundary liquids","interactions":[],"lastModifiedDate":"2017-04-12T10:24:37","indexId":"70186845","displayToPublicDate":"2017-04-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1336,"text":"Contributions to Mineralogy and Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Voluminous arc dacites as amphibole reaction-boundary liquids","docAbstract":"Dacites dominate the large-volume, explosive eruptions in magmatic arcs, and compositionally similar granodiorites and tonalites constitute the bulk of convergent margin batholiths. Shallow, pre-eruptive storage conditions are well known for many dacitic arc magmas through melt inclusions, Fe–Ti oxides, and experiments, but their potential origins deeper in the crust are not well determined. Accordingly, we report experimental results identifying the P–T–H2O conditions under which hydrous dacitic liquid may segregate from hornblende (hbl)-gabbroic sources either during crystallization–differentiation or partial melting. Two compositions were investigated: (1) MSH–Yn−1 dacite (SiO2: 65 wt%) from Mount St. Helens’ voluminous Yn tephra and (2) MSH–Yn−1 + 10% cpx to force saturation with cpx and map a portion of the cpx + melt = hbl peritectic reaction boundary. H2O-undersaturated (3, 6, and 9 wt% H2O) piston cylinder experiments were conducted at pressures, temperatures, and fO2 appropriate for the middle to lower arc crust (400, 700, and 900 MPa, 825–1100 °C, and the Re–ReO2 buffer ≈ Ni–NiO + 2). Results for MSH–Yn−1 indicate near-liquidus equilibrium with a cpx-free hbl-gabbro residue (hbl, plg, magnetite, ± opx, and ilmeno-hematite) with 6–7 wt% dissolved H2O, 925 °C, and 700–900 MPa. Opx disappears down-temperature consistent with the reaction opx + melt = hbl. Cpx-added phase relations are similar in that once ~10% cpx crystallizes, multiple saturation is attained with cpx, hbl, and plg, +/− opx, at 6–7 wt% dissolved H2O, 940 °C, and 700–900 MPa. Plg–hbl–cpx saturated liquids diverge from plg–hbl–opx saturated liquids, consistent with the MSH–Yn−1 dacite marking a liquid composition along a peritectic distributary reaction boundary where hbl appears down-temperature as opx + cpx are consumed. The abundance of saturating phases along this distributary peritectic (liquid + hbl + opx + cpx + plg + oxides) reduces the variance, so liquids are restricted to dacite–granodiorite–tonalite compositions. Higher-K dacites than the Yn would also saturate with biotite, further limiting their compositional diversity. Theoretical evaluation of the energetics of peritectic melting of pargasitic amphiboles indicates that melting and crystallization of amphibole occur abruptly, proximal to amphibole’s high-temperature stability limit, which causes the system to dwell thermally under the conditions that produce dacitic compositions. This process may account for the compositional homogeneity of dacites, granodiorites, and tonalites in arc settings, but their relative mobility compared to rhyolitic/granitic liquids likely accounts for their greater abundance.
","language":"English","publisher":"Springer","doi":"10.1007/s00410-017-1340-6","usgsCitation":"Blatter, D.L., Sisson, T.W., and Hankins, W.B., 2017, Voluminous arc dacites as amphibole reaction-boundary liquids: Contributions to Mineralogy and Petrology, v. 172, no. 5, p. 1-37, https://doi.org/10.1007/s00410-017-1340-6.","productDescription":"Article 27; 37 p.","startPage":"1","endPage":"37","ipdsId":"IP-080311","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":339591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mt. 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Center","active":true,"usgs":true}],"preferred":true,"id":690690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hankins, William B. 0000-0001-9881-9468 bhankins@usgs.gov","orcid":"https://orcid.org/0000-0001-9881-9468","contributorId":5326,"corporation":false,"usgs":true,"family":"Hankins","given":"William","email":"bhankins@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":690691,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186034,"text":"70186034 - 2017 - Pilot study for the characterization of sediment chemistry, sediment toxicity, and benthic invertebrate community structure for PCB-contaminated sediments from the Upper Hudson River, New York","interactions":[],"lastModifiedDate":"2017-04-12T14:44:09","indexId":"70186034","displayToPublicDate":"2017-04-12T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Pilot study for the characterization of sediment chemistry, sediment toxicity, and benthic invertebrate community structure for PCB-contaminated sediments from the Upper Hudson River, New York","language":"English","publisher":"National Oceanic and Atmospheric Administration","collaboration":"State of New York, U.S. Department of Commerce, U.S. Department of the Interior ","usgsCitation":"Ingersoll, C.G., MacDonald, D.D., Sinclair, J.A., Prencipe, H., Jones, A., Curry, M., Lewis, C., Kemble, N.E., Steevens, J., Nolan, K., Schein, A., and Kunz, J.L., 2017, Pilot study for the characterization of sediment chemistry, sediment toxicity, and benthic invertebrate community structure for PCB-contaminated sediments from the Upper Hudson River, New York, Report: vii, 360 p.","productDescription":"Report: vii, 360 p.","ipdsId":"IP-065038","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":339598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338765,"type":{"id":15,"text":"Index Page"},"url":"https://casedocuments.darrp.noaa.gov/northeast/hudson/admin.html"}],"country":"United States","state":"New York","otherGeospatial":"Upper Hudson River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.74366760253906,\n 43.12504316740127\n ],\n [\n -73.50128173828125,\n 43.12504316740127\n ],\n [\n -73.50128173828125,\n 43.33766426918899\n ],\n [\n -73.74366760253906,\n 43.33766426918899\n ],\n [\n -73.74366760253906,\n 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A.","contributorId":176180,"corporation":false,"usgs":false,"family":"Sinclair","given":"Jesse","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":687416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prencipe, Heather","contributorId":190152,"corporation":false,"usgs":false,"family":"Prencipe","given":"Heather","email":"","affiliations":[],"preferred":false,"id":687417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Ann","contributorId":190153,"corporation":false,"usgs":false,"family":"Jones","given":"Ann","email":"","affiliations":[],"preferred":false,"id":687418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Curry, Mark","contributorId":190154,"corporation":false,"usgs":false,"family":"Curry","given":"Mark","email":"","affiliations":[],"preferred":false,"id":687419,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewis, 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Kelly","contributorId":190157,"corporation":false,"usgs":false,"family":"Nolan","given":"Kelly","email":"","affiliations":[],"preferred":false,"id":687423,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schein, Allison","contributorId":152229,"corporation":false,"usgs":false,"family":"Schein","given":"Allison","email":"","affiliations":[{"id":18887,"text":"MacDonald Environmental Sciences Ltd., #24 - 4800 Island Highway North, Nanaimo, British Columbia V9T 1W6","active":true,"usgs":false}],"preferred":false,"id":687424,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":687425,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70185354,"text":"ds1045 - 2017 - Sediment lithology and radiochemistry from the back-barrier environments along the northern Chandeleur Islands, Louisiana—March 2012","interactions":[],"lastModifiedDate":"2025-05-13T16:44:15.712868","indexId":"ds1045","displayToPublicDate":"2017-04-11T16:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1045","title":"Sediment lithology and radiochemistry from the back-barrier environments along the northern Chandeleur Islands, Louisiana—March 2012","docAbstract":"Scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center collected a set of 8 sediment cores from the back-barrier environments along the northern Chandeleur Islands, Louisiana, in March 2012. The sampling efforts were part of a larger USGS study to evaluate effects on the geomorphology of the Chandeleur Islands following the construction of an artificial sand berm to reduce oil transport onto federally managed lands. The objective of this study was to evaluate the response of the back-barrier tidal and wetland environments to the berm. This report serves as an archive for sedimentological and radiochemical data derived from the sediment cores. The data described in this report are available for download on the data downloads page.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1045","usgsCitation":"Marot, M.E., Smith, C.G., Adams, C.S., and Richwine, K.A, 2017, Sediment lithology and radiochemistry from the back-barrier environments along the northern Chandeleur Islands, Louisiana—March 2012: U.S. Geological Survey Data Series 1045, https://doi.org/10.3133/ds1045.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078217","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":338203,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1045/index.html","text":"Report HTML"},{"id":338202,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1045/coverthb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.88626098632812,\n 29.859701442126756\n ],\n [\n -88.78326416015625,\n 29.859701442126756\n ],\n [\n -88.78326416015625,\n 30.022732549250424\n ],\n [\n -88.88626098632812,\n 30.022732549250424\n ],\n [\n -88.88626098632812,\n 29.859701442126756\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
https://coastal.er.usgs.gov/
Trichechus manatus (West Indian manatee), especially T. m. latirostris, the Florida subspecies, has been the focus of conservation efforts and extensive research since its listing under the Endangered Species Act of 1973. To determine the status of, and severity of threats to, the Florida manatee, a comprehensive revision and update of the manatee Core Biological Model was completed and used to perform a population viability analysis for the Florida manatee. The probability of the Florida manatee population falling below 500 adults on either the Gulf or East coast within the next 100 years was estimated to be 0.42 percent. This risk of quasi-extinction is low because the estimated adult survival rates are high, the current population size is greater than 2,500 on each coast, and the estimated carrying capacity for manatees is much larger than the current abundance estimates in all four regions of Florida. Three threats contribute in roughly equal measures to the risk of quasi-extinction: watercraft-related mortality, red-tide mortality, and loss of warm-water habitat. Only an increase in watercraft-related mortality has the potential to substantially increase the risk of quasi-extinction at the statewide or coastal level. Expected losses of warm-water habitat are likely to cause a major change in the distribution of the population from the regions where manatees rely heavily on power plant effluents for warmth in winter (Southwest and Atlantic regions) to the regions where manatees primarily use natural springs in winter (Northwest and Upper St. Johns regions). The chances are nearly 50 percent that manatee populations in the Southwest and Atlantic regions will decrease from their 2011 levels by at least 30 percent over the next century.
A large number of scenarios were examined to explore the possible effects of potential emerging threats, and in most of them, the risk of quasi-extinction at the coastal scale within 100 years did not rise above 1 percent. The four exceptions are scenarios in which the rate of watercraft-related mortality increases, carrying capacity is only a fraction of the current estimates, a new chronic source of mortality emerges, or multiple threats emerge in concert. Even in these scenarios, however, the risk of falling below 500 adults on either the East coast or the Gulf coast within 100 years from 2011 is less than 10 percent. High adult survival provides the population with strong resilience to a variety of current and future threats. On the basis of these analyses, we conclude that if these threats continue to be managed effectively, manatees are likely to persist on both coasts of Florida and remain an integral part of the coastal Florida ecosystem through the 21st century. If vigilance in management is reduced, however, the scenarios in which manatees could face risk of decline become more likely.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175030","collaboration":"Prepared in cooperation with the Florida Fish and Wildlife Conservation Commission","usgsCitation":"Runge, M.C., Sanders-Reed, C.A., Langtimm, C.A., Hostetler, J.A., Martin, Julien, Deutsch, C.J., Ward-Geiger, L.I., and Mahon, G.L., 2017, Status and threats analysis for the Florida manatee (Trichechus manatus latirostris), 2016: U.S. Geological Survey Scientific Investigation Report 2017–5030, 40 p., https://doi.org/10.3133/sir20175030.","productDescription":"ix, 40 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-083198","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":339559,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5030/sir20175030.pdf","text":"Report","size":"2.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5030"},{"id":339558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5030/coverthb2.jpg"}],"country":"United States","state":"Florida","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Rd., Ste 4039
Laurel, MD 20708-4039
We describe the discrete ballistic and wind-advected products of a small, but exceptionally well-characterized, explosive eruption of wall-rock-derived pyroclasts from Kīlauea volcano on 19 March 2008 and, for the first time, integrate the size distribution of the two subpopulations to reconstruct the true size distribution of a population of pyroclasts as it exited from the vent. Based on thinning and fining relationships, the wind-advected fraction had a mass of 6.1 × 105 kg and a thickness half distance of 110 m, placing it at the bottom end of the magnitude and intensity spectra of pyroclastic falls. The ballistic population was mapped, in the field and by using structure-from-motion techniques, to a diameter of > 10–20 cm over an area of ~0.1 km2, with an estimated mass of 1 × 105 kg. Initial ejection velocities of 50–80 m/s were estimated from inversion of isopleths. The total grain size distribution was estimated by using a mass partitioning of 98% of wind-advected material and 2% of ballistics, resulting in median and sorting values of −1.7ϕ and 3.1ϕ. It is markedly broader than those calculated for the products of magmatic explosive eruptions, because the grain size of 19 March 2008 clast population is unrelated to a volcanic fragmentation event and instead was “inherited” from a population of talus clasts that temporary blocked the vent prior to the eruption. Despite a conspicuous near-field presence, the ballistic subpopulation has only a minor influence on the grain size distribution because of its rapid thinning and fining away from source.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014040","usgsCitation":"Houghton, B.F., Swanson, D., Biass, S., Fagents, S.A., and Orr, T., 2017, Partitioning of pyroclasts between ballistic transport and a convective plume: Kīlauea volcano, 19 March 2008: Journal of Geophysical Research: Solid Earth, v. 122, no. 5, p. 3379-3391, https://doi.org/10.1002/2017JB014040.","productDescription":"13 p.","startPage":"3379","endPage":"3391","ipdsId":"IP-083798","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":464631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.33814997165032,\n 19.499352158202328\n ],\n [\n -155.33814997165032,\n 19.307300813512512\n ],\n [\n -155.1186046468342,\n 19.307300813512512\n ],\n [\n -155.1186046468342,\n 19.499352158202328\n ],\n [\n -155.33814997165032,\n 19.499352158202328\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"122","issue":"5","noUsgsAuthors":false,"publicationDate":"2017-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":919936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, Donald A. 0000-0002-1680-3591","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":229682,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","affiliations":[],"preferred":true,"id":919937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biass, Sebastien","contributorId":331324,"corporation":false,"usgs":false,"family":"Biass","given":"Sebastien","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":919938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fagents, Sarah A.","contributorId":243389,"corporation":false,"usgs":false,"family":"Fagents","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":48709,"text":"University of Hawai`i","active":true,"usgs":false}],"preferred":false,"id":919939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Orr, Tim R. 0000-0003-1157-7588","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":26365,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":919940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186822,"text":"70186822 - 2017 - Reversible reduction of estrone to 17β-estradiol by Rhizobium, Sphingopyxis, and Pseudomonas isolates from the Las Vegas Wash","interactions":[],"lastModifiedDate":"2017-04-11T17:26:18","indexId":"70186822","displayToPublicDate":"2017-04-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Reversible reduction of estrone to 17β-estradiol by Rhizobium, Sphingopyxis, and Pseudomonas isolates from the Las Vegas Wash","docAbstract":"Environmental endocrine-disrupting compounds (EDCs) are a growing concern as studies reveal their persistence and detrimental effects on wildlife. Microorganisms are known to affect the transformation of steroid EDCs; however, the diversity of estrogen-degrading microorganisms and the range of transformations they mediate remain relatively little studied. In mesocosms, low concentrations of added estrone (E1) and 17β-estradiol (E2) were removed by indigenous microorganisms from Las Vegas Wash water within 2 wk. Three bacterial isolates, Rhizobium sp. strain LVW-9, Sphingopyxis sp. strain LVW-12, and Pseudomonas sp. strain LVW-PC, were enriched from Las Vegas Wash water on E1 and E2 and used for EDC transformation studies. In the presence of alternative carbon sources, LVW-9 and LVW-12 catalyzed near-stoichiometric reduction of E1 to E2 but subsequently reoxidized E2 back to E1; whereas LVW-PC minimally reduced E1 to E2 but effectively oxidized E2 to E1 after a 20-d lag. In the absence of alternative carbon sources, LVW-12 and LVW-PC oxidized E2 to E1. This report documents the rapid and sometimes reversible microbial transformation of E1 and E2 and the slow degradation of 17α-ethinylestradiol in urban stream water and extends the list of known estrogen-transforming bacteria to the genera Rhizobium and Sphingopyxis. These results suggest that discharge of steroid estrogens via wastewater could be reduced through tighter control of redox conditions and may assist in future risk assessments detailing the environmental fate of estrogens through evidence that microbial estrogen transformations may be affected by environmental conditions or growth status.
","language":"English","publisher":"ASA, CSSA, and SSSA","doi":"10.2134/jeq2016.08.0286","usgsCitation":"Blunt, S.M., Benotti, M.J., Rosen, M.R., Hedlund, B., and Moser, D., 2017, Reversible reduction of estrone to 17β-estradiol by Rhizobium, Sphingopyxis, and Pseudomonas isolates from the Las Vegas Wash: Journal of Environmental Quality, v. 46, no. 2, p. 281-287, https://doi.org/10.2134/jeq2016.08.0286.","productDescription":"7 p.","startPage":"281","endPage":"287","ipdsId":"IP-077737","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":339588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Las Vegas Wash","volume":"46","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edb942e4b0eed1ab8c6efb","contributors":{"authors":[{"text":"Blunt, Susanna M.","contributorId":190782,"corporation":false,"usgs":false,"family":"Blunt","given":"Susanna","email":"","middleInitial":"M.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false},{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":690683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benotti, Mark J.","contributorId":190783,"corporation":false,"usgs":false,"family":"Benotti","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":35387,"text":"Southern Nevada Water Authority","active":true,"usgs":false}],"preferred":false,"id":690684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":690682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hedlund, Brian","contributorId":190784,"corporation":false,"usgs":false,"family":"Hedlund","given":"Brian","affiliations":[],"preferred":false,"id":690685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moser, Duane","contributorId":190785,"corporation":false,"usgs":false,"family":"Moser","given":"Duane","affiliations":[],"preferred":false,"id":690686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186820,"text":"70186820 - 2017 - Contrasting nest survival patterns for ducks and songbirds in northern mixed-grass prairie","interactions":[],"lastModifiedDate":"2017-05-02T15:24:33","indexId":"70186820","displayToPublicDate":"2017-04-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting nest survival patterns for ducks and songbirds in northern mixed-grass prairie","docAbstract":"Management actions intended to protect or improve habitat for ducks may benefit grassland-nesting passerines, but scant information is available to explore this assumption. During 1998–2003, we examined nest survival of ducks and songbirds to determine whether effects of prescribed fire and other habitat features (e.g., shrub cover and distance to habitat edges) were similar for ducks and passerines breeding in North Dakota. We used the logistic-exposure method to estimate survival of duck and songbird nests (n = 3,171). We used an information-theoretic approach to identify factors that most influenced nest survival. Patterns of nest survival were markedly different between taxonomic groups. For ducks, nest survival was greater during the first postfire nesting season (daily survival rate [DSR] = 0.957, 85% CI = 0.951–0.963), relative to later postfire nesting seasons (DSR = 0.946, 85% CI = 0.942–0.950). Furthermore duck nest survival and nest densities were inversely related. Duck nest survival also was greater as shrub cover decreased and as distance from cropland and wetland edges increased. Passerines had lower nest survival during the first postfire nesting season (DSR = 0.934, 85% CI = 0.924–0.944), when densities also were low compared to subsequent postfire nesting seasons (DSR = 0.947, 85% CI = 0.944–0.950). Parasitism by brown-headed cowbirds (Molothrus ater) reduced passerine nest survival and this effect was more pronounced during the first postfire nesting season compared to subsequent nesting seasons. Passerine nest survival was greater as shrub cover decreased and perhaps for more concealed nests. Duck and songbird nest survival rates were not correlated during this study and for associated studies that examined additional variables using the same dataset, suggesting that different mechanisms influenced their survival. Based on our results, ducks should not be considered direct surrogates for passerines when predicting effects of prescribed fire, shrub cover, and habitat edges on nest survival.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21224","usgsCitation":"Grant, T., Shaffer, T.L., Madden, E.M., and Nenneman, M.P., 2017, Contrasting nest survival patterns for ducks and songbirds in northern mixed-grass prairie: Journal of Wildlife Management, v. 81, no. 4, p. 641-651, https://doi.org/10.1002/jwmg.21224.","productDescription":"11 p.","startPage":"641","endPage":"651","ipdsId":"IP-073644","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":339585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","county":"Bottineau County","otherGeospatial":"J. Clark Salyer National Wildlife Refuge","volume":"81","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-07","publicationStatus":"PW","scienceBaseUri":"58edb943e4b0eed1ab8c6efd","contributors":{"authors":[{"text":"Grant, Todd","contributorId":190775,"corporation":false,"usgs":false,"family":"Grant","given":"Todd","affiliations":[],"preferred":false,"id":690673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":690672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madden, Elizabeth M.","contributorId":190776,"corporation":false,"usgs":false,"family":"Madden","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":690674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nenneman, Melvin P.","contributorId":190777,"corporation":false,"usgs":false,"family":"Nenneman","given":"Melvin","email":"","middleInitial":"P.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":690675,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70181014,"text":"70181014 - 2017 - Extent and persistence of secondary water quality impacts after enhanced reductive bioremediation","interactions":[],"lastModifiedDate":"2017-04-12T10:30:45","indexId":"70181014","displayToPublicDate":"2017-04-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":414,"text":"Technical Report","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"ER-2131","title":"Extent and persistence of secondary water quality impacts after enhanced reductive bioremediation","docAbstract":"Electron donor (ED) addition can be very effective in stimulating enhanced reductive bioremediation (ERB) of a wide variety of groundwater contaminants. However, ERB can result in Secondary Water Quality Impacts (SWQIs) including decreased levels of dissolved oxygen (O2), nitrate (NO3- ), and sulfate (SO42- ), and elevated levels of dissolved manganese (Mn2+), dissolved iron (Fe2+), methane (CH4), sulfide (S2- ), organic carbon, and naturally occurring hazardous compounds (e.g., arsenic). Fortunately, this ‘plume’ of impacted groundwater is usually confined within the original contaminant plume and is unlikely to adversely impact potable water supplies. This report summarizes available information on processes controlling the production and natural attenuation of SWQI parameters and can be used as a guide in understanding the magnitude, areal extent, and duration of SWQIs in ERB treatment zones and the natural attenuation of SWQI parameters as the dissolved solutes migrate downgradient with ambient groundwater flow. This information was compiled from a wide variety of sources including a survey and statistical analysis of SWQIs from 47 ERB sites, geochemical model simulations, field studies at sites where organic-rich materials have entered the subsurface (e.g., wastewater, landfill leachate, and hydrocarbon plumes), and basic information on physical, chemical, and biological processes in the subsurface. This information is then integrated to provide a general conceptual model of the major processes controlling SWQI production and attenuation.
","language":"English","publisher":"Strategic Environmental Research and Development Program","usgsCitation":"Borden, R.C., Tillotson, J.M., Ng, G.C., Bekins, B.A., Kent, D.B., and Curtis, G.P., 2017, Extent and persistence of secondary water quality impacts after enhanced reductive bioremediation: Technical Report ER-2131, Report: xi; 54 p.; Appendix A.","productDescription":"Report: xi; 54 p.; Appendix A","ipdsId":"IP-068922","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":339562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339561,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.serdp-estcp.org/Program-Areas/Environmental-Restoration/Contaminated-Groundwater/Emerging-Issues/ER-2131/ER-2131"}],"country":"United States","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edb945e4b0eed1ab8c6f09","contributors":{"authors":[{"text":"Borden, Robert C.","contributorId":179311,"corporation":false,"usgs":false,"family":"Borden","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":663283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillotson, Jason M.","contributorId":179312,"corporation":false,"usgs":false,"family":"Tillotson","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":663284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ng, Gene-Hua Crystal gng@usgs.gov","contributorId":5313,"corporation":false,"usgs":true,"family":"Ng","given":"Gene-Hua","email":"gng@usgs.gov","middleInitial":"Crystal","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":663285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":663282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":663286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Curtis, Gary P. 0000-0003-3975-8882 gpcurtis@usgs.gov","orcid":"https://orcid.org/0000-0003-3975-8882","contributorId":2346,"corporation":false,"usgs":true,"family":"Curtis","given":"Gary","email":"gpcurtis@usgs.gov","middleInitial":"P.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663287,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70186808,"text":"70186808 - 2017 - Characterizing the early life history of an imperiled freshwater mussel (Ptychobranchus jonesi) with host-fish determination and fecundity estimation","interactions":[],"lastModifiedDate":"2017-09-14T12:51:06","indexId":"70186808","displayToPublicDate":"2017-04-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the early life history of an imperiled freshwater mussel (Ptychobranchus jonesi) with host-fish determination and fecundity estimation","docAbstract":"Conservation of imperiled species is frequently challenged by insufficient knowledge of life history and environmental factors that affect various life stages. The larvae (glochidia) of most freshwater mussels in the family Unionidae are obligate ectoparasites of fishes. We described the early life history of the federally endangered Southern Kidneyshell Ptychobranchus jonesi and compared methods for estimating fecundity and conducting host trials on this conglutinate-producing mussel species. Glochidial inoculation baths and direct feeding of conglutinates to Percina nigrofasciata, Etheostoma edwini, and Etheostoma fusiforme resulted in successful metamorphosis to the juvenile life stage. Ptychobranchus jonesi glochidia did not metamorphose on 25 other species of fishes tested representing 11 families. Three juveniles were recovered from Gambusia holbrooki resulting in a metamorphosis rate <1%. We characterize P. jonesi as a host-fish specialist that fractionally releases conglutinates from late January to early June. Intact P. jonesi conglutinates resemble simuliid fly larvae attached to an egg-like structure, but most conglutinates were released as segments representing separate egg or larva mimics. Viability of glochidia encased within a conglutinate was >90% for ≥5 d. Feeding conglutinates directly to fishes allowed us to estimate seminatural infestation rates and calculate average numbers of juveniles produced per conglutinate, unlike the traditional approach of infesting fish hosts in an inoculation bath. Regressions based on the physical dimensions of each conglutinate or conglutinate segment were the most practical method used to estimate fecundity. Species distribution information, early life-history description, and methods developed for determining fecundity and conducting host trials may assist in the conservation of P. jonesi during recovery options that include captive propagation, augmentation, and reestablishment.
","language":"English","publisher":"The University of Chicago Press","doi":"10.1086/692096","usgsCitation":"Mcleod, J., Jelks, H.L., Pursifull, S., and Johnson, N.A., 2017, Characterizing the early life history of an imperiled freshwater mussel (Ptychobranchus jonesi) with host-fish determination and fecundity estimation: Freshwater Science, v. 36, no. 2, p. 338-350, https://doi.org/10.1086/692096.","productDescription":"13 p.","startPage":"338","endPage":"350","ipdsId":"IP-076969","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":438379,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7FT8J5T","text":"USGS data release","linkHelpText":"Characterizing the early life history of an imperiled freshwater mussel (Ptychobranchus jonesi)"},{"id":339563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","otherGeospatial":" Choctawhatchee river drainage, Escambia river drainage, Yellow river drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.275390625,\n 30.49838443460377\n ],\n [\n -87.2149658203125,\n 30.306503259848835\n ],\n [\n -87.1380615234375,\n 30.315987718557867\n ],\n [\n -86.6876220703125,\n 30.38235321766959\n ],\n [\n -86.3800048828125,\n 30.363396239603716\n ],\n [\n -85.93505859374999,\n 30.240086360983426\n ],\n [\n -85.9295654296875,\n 30.268556249047727\n ],\n [\n -85.8197021484375,\n 30.391830328088137\n ],\n [\n -85.4736328125,\n 30.600093873550072\n ],\n [\n -85.2978515625,\n 31.147006308556566\n ],\n [\n -85.18798828125,\n 31.475524020001806\n ],\n [\n -85.2154541015625,\n 31.611287945395063\n ],\n [\n -85.25390625,\n 31.84956532831343\n ],\n [\n -85.2044677734375,\n 32.008075959291055\n ],\n [\n -85.53955078125,\n 32.13840869677249\n ],\n [\n -85.8746337890625,\n 32.15236189465577\n ],\n [\n -86.2591552734375,\n 32.03602003973755\n ],\n [\n -86.5997314453125,\n 31.80289258670676\n ],\n [\n -86.85791015625,\n 31.695455797778713\n ],\n [\n -87.0391845703125,\n 31.49426181553272\n ],\n [\n -87.4072265625,\n 31.3348710339506\n ],\n [\n -87.49786376953125,\n 31.0294013530289\n ],\n [\n -87.462158203125,\n 30.876297595828756\n ],\n [\n -87.36328125,\n 30.71586528568626\n ],\n [\n -87.275390625,\n 30.49838443460377\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edb944e4b0eed1ab8c6f03","contributors":{"authors":[{"text":"Mcleod, John 0000-0001-7962-7989 jmmcleod@usgs.gov","orcid":"https://orcid.org/0000-0001-7962-7989","contributorId":173552,"corporation":false,"usgs":true,"family":"Mcleod","given":"John","email":"jmmcleod@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":690601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":690602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pursifull, Sandra","contributorId":176790,"corporation":false,"usgs":false,"family":"Pursifull","given":"Sandra","email":"","affiliations":[],"preferred":false,"id":690603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":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":690600,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70185001,"text":"70185001 - 2017 - Temperature","interactions":[],"lastModifiedDate":"2020-08-20T19:35:31.560536","indexId":"70185001","displayToPublicDate":"2017-04-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Temperature","docAbstract":"Stream temperature has direct and indirect effects on stream ecology and is critical in determining both abiotic and biotic system responses across a hierarchy of spatial and temporal scales. Temperature variation is primarily driven by solar radiation, while landscape topography, geology, and stream reach scale ecosystem processes contribute to local variability. Spatiotemporal heterogeneity in freshwater ecosystems influences habitat distributions, physiological functions, and phenology of all aquatic organisms. In this chapter we provide an overview of methods for monitoring stream temperature, characterization of thermal profiles, and modeling approaches to stream temperature prediction. Recent advances in temperature monitoring allow for more comprehensive studies of the underlying processes influencing annual variation of temperatures and how thermal variability may impact aquatic organisms at individual, population, and community based scales. Likewise, the development of spatially explicit predictive models provide a framework for simulating natural and anthropogenic effects on thermal regimes which is integral for sustainable management of freshwater systems.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Methods in stream ecology","language":"English","publisher":"Elsevier","publisherLocation":"San Diego, CA","usgsCitation":"Jones, L.A., Muhlfeld, C.C., and Hauer, F.R., 2017, Temperature, chap. 6 of Methods in stream ecology, v. 1, p. 109-120.","productDescription":"12 p.","startPage":"109","endPage":"120","ipdsId":"IP-080478","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":339560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339557,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.elsevier.com/books/methods-in-stream-ecology/hauer/978-0-12-416558-8"}],"volume":"1","edition":"3rd","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58edb945e4b0eed1ab8c6f07","contributors":{"editors":[{"text":"F. Richard Hauer","contributorId":145878,"corporation":false,"usgs":false,"family":"F. Richard Hauer","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":690625,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lamberti, G. A.","contributorId":44229,"corporation":false,"usgs":false,"family":"Lamberti","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690626,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Jones, Leslie A.","contributorId":145885,"corporation":false,"usgs":false,"family":"Jones","given":"Leslie","email":"","middleInitial":"A.","affiliations":[{"id":16281,"text":"USGS NOROCK Temporary Appt.","active":true,"usgs":false}],"preferred":false,"id":683892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":683891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hauer, F. 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In this region, sandy sediment deposited during or soon after the last glaciation forms an important unconfined sand and gravel aquifer. This aquifer supplies water for numerous high-capacity irrigation, municipal, and industrial wells that support a thriving agricultural industry. In recent years the addition of many new wells, combined with observed diminished flows in the Little Plover and other nearby rivers, has raised concerns about the impacts of the wells on groundwater levels and on water levels and flows in nearby lakes, streams, and wetlands. Diverse stakeholder groups, including well operators, Growers, environmentalists, local land owners, and regulatory and government officials have sought a better understanding of the local groundwater-surface water system and have a shared desire to balance the water needs of the he liagricultural, industrial, and urban users with the maintenance and protection of groundwater-dependent natural resources. To help address these issues, the Wisconsin Department of Natural Resources requested that the Wisconsin Geological and Natural History Survey and U.S. Geological Survey cooperatively develop a groundwater flow model that could be used to demonstrate the relationships among groundwater, surface water, and well withdrawals and also be a tool for testing and evaluating alternative water management strategies for the central sands region. Because of an abundance of previous studies, data availability, local interest, and existing regulatory constraints the model focuses on the Little Plover River watershed, but the modeling methodology developed during this study can apply to much of the larger central sands of Wisconsin. The
Little Plover River groundwater flow model simulates three-dimensional groundwater movement in and around the Little Plover River basin under steady-state and transient conditions. This model explicitly includes all high-capacity wells in the model domain and simulates seasonal variations in recharge and well pumping. The model represents the Little Plover River, and other significant streams and drainage ditches in the model domain, as fully connected to the groundwater system, computes stream base flow resulting from groundwater discharge, and routes the flow along the stream channel. A separate soil-water-balance (SWB) model was used to develop groundwater recharge arrays as input for the groundwater flow model. The SWB model uses topography, soils, land use, and climatic data to estimate recharge as deep drainage from the soil zone. The SWB model explicitly includes recharge originating as irrigation water, and computes irrigation using techniques similar to those used by local irrigation operators.
The groundwater flow model uses the U.S. Geological Survey’s MODFLOW modeling code which is freely available, widely accepted, and commonly used by the groundwater community. The groundwater flow model and the SWB model use identical high-resolution numerical grids having model cells 100 feet on a side, with physical properties assigned to each grid cell. This grid allows accurate geographic placement of wells, streams, and other model features. The 3-dimensional grid has three layers; layers 1 and 2 represent the sand and gravel aquifer and layer 3 represents the underlying sandstone. The distribution of material properties in the model (hydraulic conductivity, aquifer thickness, etc.) comes from previous published geologic studies of the region, updated by calibration to recent streamflow and groundwater level data. The SWB model operates on a daily time step. The groundwater flow model was calibrated to monthly stress periods with time steps ranging from 1 to 16 days. More detailed time discretization is possible.
The groundwater model was calibrated to water-level and streamflow data collected during 2013 and 2014 by adjusting model parameters (primarily hydraulic conductivity, storage, and recharge) until the model produced a conditionally optimal fit between field observations and model output, subject to consistency with previously published geologic studies. Calibration was performed under both steady and transient conditions, and used a sophisticated parameter-estimation procedure (PEST) for the calibration process and to identify important model parameters. For the Little Plover River, the two most important parameters are the global recharge multiplier and the hydraulic conductivity of the stream bed. The calibrated model produces water-level and mass-balance results that are consistent with field observations and previous studies of the area.
The completed model is a powerful tool for testing and demonstrating alternative water-management scenarios. Example model applications described in this report include simulating how the cumulative impacts of pumping and land-use change have affected average baseflow in the Little Plover River. Depletion-potential mapping represents a method for predicting which wells and well locations have the greatest impact on nearby surface-water resources.
The completed model is publicly available, along with a companion user’s guide to assist with its operation, at http://wgnhs.org/littleplover- river-groundwater-model.
","language":"English","publisher":"Wisconsin Geological and Natural History Survey","publisherLocation":"Madison, WI","usgsCitation":"Bradbury, K., Fienen, M., Kniffin, M., Jacob Krause, Westenbroek, S.M., Leaf, A.T., and Barlow, P.M., 2017, Groundwater flow model for the Little Plover River basin in Wisconsin’s Central Sands: Bulletin 111, Zip file: Report: x, 82 p., Appendixes 1-8.","productDescription":"Zip file: Report: x, 82 p., Appendixes 1-8","ipdsId":"IP-080836","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":339550,"type":{"id":15,"text":"Index Page"},"url":"https://wgnhs.org/little-plover-river-groundwater-model/"},{"id":339556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Little Plover River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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Water","active":true,"usgs":true}],"preferred":true,"id":690597,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70186809,"text":"70186809 - 2017 - Is biotic resistance enhanced by natural variation in diversity?","interactions":[],"lastModifiedDate":"2017-10-02T13:00:25","indexId":"70186809","displayToPublicDate":"2017-04-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Is biotic resistance enhanced by natural variation in diversity?","docAbstract":"Theories linking diversity to ecosystem function have been challenged by the widespread observation of more exotic species in more diverse native communities. Few studies have addressed the underlying processes by dissecting how biotic resistance to new invaders may be shaped by the same environmental influences that determine diversity and other community properties.
In grasslands with heterogeneous soils, we added invaders and removed competitors to analyze the causes of invasion resistance. Abiotic resistance was measured using invader success in the absence of the resident community. Biotic resistance was measured as the reduction in invader success in the presence of the resident community.
Invaders were most successful where biotic resistance was lowest and abiotic resistance was highest, confirming the dominant role of biotic resistance. Contrary to theory, though, biotic resistance was highest where both species richness and functional diversity were lowest. In the multivariate framework of a structural equation model, biotic resistance was independent of community diversity, and was highest where fertile soils led to high community biomass.
Seed predation slightly augmented biotic resistance without qualitatively changing the results. Soil-related genotypic variation in the invader also did not affect the results.
We conclude that in natural systems, diversity may be correlated with invasibility and yet have little effect on biotic resistance to invasion. More generally, the environmental causes of variation in diversity should be considered when examining the potential functional consequences of diversity.
","language":"English","publisher":"Wiley","doi":"10.1111/oik.04334","usgsCitation":"Grace, J.B., Harrison, S.P., and Cornell, H., 2017, Is biotic resistance enhanced by natural variation in diversity?: Oikos, v. 126, no. 10, p. 1484-1492, https://doi.org/10.1111/oik.04334.","productDescription":"9 p.","startPage":"1484","endPage":"1492","ipdsId":"IP-082516","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":339565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"10","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-17","publicationStatus":"PW","scienceBaseUri":"58edb943e4b0eed1ab8c6f01","contributors":{"authors":[{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":690604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, Susan P.","contributorId":147735,"corporation":false,"usgs":false,"family":"Harrison","given":"Susan","email":"","middleInitial":"P.","affiliations":[{"id":16917,"text":"Dept. of Env. Sci. and Policy, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":690605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornell, Howard","contributorId":149333,"corporation":false,"usgs":false,"family":"Cornell","given":"Howard","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":690606,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186816,"text":"70186816 - 2017 - Polygamy slows down population divergence in shorebirds","interactions":[],"lastModifiedDate":"2017-11-22T16:58:56","indexId":"70186816","displayToPublicDate":"2017-04-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1598,"text":"Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Polygamy slows down population divergence in shorebirds","docAbstract":"Sexual selection may act as a promotor of speciation since divergent mate choice and competition for mates can rapidly lead to reproductive isolation. Alternatively, sexual selection may also retard speciation since polygamous individuals can access additional mates by increased breeding dispersal. High breeding dispersal should hence increase gene flow and reduce diversification in polygamous species. Here, we test how polygamy predicts diversification in shorebirds using genetic differentiation and subspecies richness as proxies for population divergence. Examining microsatellite data from 79 populations in 10 plover species (Genus: Charadrius) we found that polygamous species display significantly less genetic structure and weaker isolation-by-distance effects than monogamous species. Consistent with this result, a comparative analysis including 136 shorebird species showed significantly fewer subspecies for polygamous than for monogamous species. By contrast, migratory behavior neither predicted genetic differentiation nor subspecies richness. Taken together, our results suggest that dispersal associated with polygamy may facilitate gene flow and limit population divergence. Therefore, intense sexual selection, as occurs in polygamous species, may act as a brake rather than an engine of speciation in shorebirds. We discuss alternative explanations for these results and call for further studies to understand the relationships between sexual selection, dispersal, and diversification.
","language":"English","publisher":"Wiley","doi":"10.1111/evo.13212","usgsCitation":"Jackson, J.D., dos Remedios, N., Maher, K., Zefania, S., Haig, S.M., Oyler-McCance, S.J., Blomqvist, D., Burke, T., Bruford, M.W., Szekely, T., and Kupper, C., 2017, Polygamy slows down population divergence in shorebirds: Evolution, v. 71, no. 5, p. 1313-1326, https://doi.org/10.1111/evo.13212.","productDescription":"14 p.","startPage":"1313","endPage":"1326","ipdsId":"IP-084178","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":469935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/evo.13212","text":"Publisher Index Page"},{"id":339578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-10","publicationStatus":"PW","scienceBaseUri":"58edb943e4b0eed1ab8c6eff","contributors":{"authors":[{"text":"Jackson, Josephine D’Urban","contributorId":190763,"corporation":false,"usgs":false,"family":"Jackson","given":"Josephine","email":"","middleInitial":"D’Urban","affiliations":[],"preferred":false,"id":690654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"dos Remedios, Natalie","contributorId":190764,"corporation":false,"usgs":false,"family":"dos Remedios","given":"Natalie","email":"","affiliations":[],"preferred":false,"id":690655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maher, Kathryn","contributorId":190765,"corporation":false,"usgs":false,"family":"Maher","given":"Kathryn","email":"","affiliations":[],"preferred":false,"id":690656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zefania, Sama","contributorId":190766,"corporation":false,"usgs":false,"family":"Zefania","given":"Sama","email":"","affiliations":[],"preferred":false,"id":690657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":690653,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":690658,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blomqvist, Donald","contributorId":190767,"corporation":false,"usgs":false,"family":"Blomqvist","given":"Donald","email":"","affiliations":[],"preferred":false,"id":690659,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burke, Terry","contributorId":190768,"corporation":false,"usgs":false,"family":"Burke","given":"Terry","email":"","affiliations":[],"preferred":false,"id":690660,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bruford, Michael W.","contributorId":190769,"corporation":false,"usgs":false,"family":"Bruford","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":690661,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Szekely, Tamas","contributorId":190770,"corporation":false,"usgs":false,"family":"Szekely","given":"Tamas","email":"","affiliations":[],"preferred":false,"id":690662,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kupper, Clemens","contributorId":190771,"corporation":false,"usgs":false,"family":"Kupper","given":"Clemens","email":"","affiliations":[],"preferred":false,"id":690663,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70180400,"text":"ds1035 - 2017 - USGS Spectral Library Version 7","interactions":[{"subject":{"id":80486,"text":"ds231 - 2007 - USGS Digital Spectral Library splib06a","indexId":"ds231","publicationYear":"2007","noYear":false,"title":"USGS Digital Spectral Library splib06a"},"predicate":"SUPERSEDED_BY","object":{"id":70180400,"text":"ds1035 - 2017 - USGS Spectral Library Version 7","indexId":"ds1035","publicationYear":"2017","noYear":false,"title":"USGS Spectral Library Version 7"},"id":1}],"lastModifiedDate":"2025-01-31T18:24:46.250139","indexId":"ds1035","displayToPublicDate":"2017-04-10T13:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1035","title":"USGS Spectral Library Version 7","docAbstract":"We have assembled a library of spectra measured with laboratory, field, and airborne spectrometers. The instruments used cover wavelengths from the ultraviolet to the far infrared (0.2 to 200 microns [μm]). Laboratory samples of specific minerals, plants, chemical compounds, and manmade materials were measured. In many cases, samples were purified, so that unique spectral features of a material can be related to its chemical structure. These spectro-chemical links are important for interpreting remotely sensed data collected in the field or from an aircraft or spacecraft. This library also contains physically constructed as well as mathematically computed mixtures. Four different spectrometer types were used to measure spectra in the library: (1) Beckman™ 5270 covering the spectral range 0.2 to 3 µm, (2) standard, high resolution (hi-res), and high-resolution Next Generation (hi-resNG) models of Analytical Spectral Devices (ASD) field portable spectrometers covering the range from 0.35 to 2.5 µm, (3) Nicolet™ Fourier Transform Infra-Red (FTIR) interferometer spectrometers covering the range from about 1.12 to 216 µm, and (4) the NASA Airborne Visible/Infra-Red Imaging Spectrometer AVIRIS, covering the range 0.37 to 2.5 µm. Measurements of rocks, soils, and natural mixtures of minerals were made in laboratory and field settings. Spectra of plant components and vegetation plots, comprising many plant types and species with varying backgrounds, are also in this library. Measurements by airborne spectrometers are included for forested vegetation plots, in which the trees are too tall for measurement by a field spectrometer. This report describes the instruments used, the organization of materials into chapters, metadata descriptions of spectra and samples, and possible artifacts in the spectral measurements. To facilitate greater application of the spectra, the library has also been convolved to selected spectrometer and imaging spectrometers sampling and bandpasses, and resampled to selected broadband multispectral sensors. The native file format of the library is the SPECtrum Processing Routines (SPECPR) data format. This report describes how to access freely available software to read the SPECPR format. To facilitate broader access to the library, we produced generic formats of the spectra and metadata in text files. The library is provided on digital media and online at https://speclab.cr.usgs.gov/spectral-lib.html. A long-term archive of these data are stored on the USGS ScienceBase data server (https://dx.doi.org/10.5066/F7RR1WDJ).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1035","usgsCitation":"Kokaly, R.F., Clark, R.N., Swayze, G.A., Livo, K.E., Hoefen, T.M., Pearson, N.C., Wise, R.A., Benzel, W.M., Lowers, H.A., Driscoll, R.L., and Klein, A.J., 2017, USGS Spectral Library Version 7: U.S. Geological Survey Data Series 1035, 61 p., https://doi.org/10.3133/ds1035.","productDescription":"Report: iv, 61 p.; Dataset; Data Release","numberOfPages":"68","onlineOnly":"Y","ipdsId":"IP-075936","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":336935,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1035/coverthb.jpg"},{"id":336936,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1035/ds1035.pdf","text":"Report","size":"4.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1035"},{"id":438380,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RR1WDJ","text":"USGS data release","linkHelpText":"USGS Spectral Library Version 7 Data"}],"contact":"Center Director, USGS Crustal Geophysics and Geochemistry Science Center
Box 25046, Mail Stop 964
Denver, CO 80225
Hyrdokinetic tidal energy is the conversion of tidal current kinetic energy to another more useful form, frequently electricity. As with any other form of renewable energy, resource assessments are essential for the tidal energy project planning and design process. While tidal currents have significant spatial and temporal variability, the predictability of tidal flows makes deterministic modeling a suitable methodology for hydrokinetic tidal energy resource assessments. The scope (theoretical, technical, or practical resource) and scale (turbine, region, or project) of the assessment determine the basic concepts and methodology to be utilized and are described in this chapter. At the turbine scale, the technical resource is frequently quantified as the annual energy production (AEP) computed based on the velocity probability distribution for the specific location as well as the turbine properties. The uncertainty associated with the estimates of the AEP is highly dependent on the accuracy of the tidal constituent amplitudes and phases. Regional resource assessments are frequently used to determine the feasibility of tidal power at the scale of an estuary, using numerical models to predict the spatial distribution of the power density. In addition, simplified models or even analytical analysis can be done to produce an upper bound on the regional theoretical power, although with a high level of uncertainty due to the simplifications and assumptions. Resource assessments at the project scale provide both the theoretical and the technical energy as well as the practical energy accounting for many additional constraints, including social, economic, and environmental restrictions. The International Electrotechnical Commission technical specification for tidal energy resource assessments (IEC 2015) provides the essential guidelines for performing project-scale resource assessments. These guidelines include minimum grid resolution requirements as well as model calibration and validation procedures. In addition, larger projects will need to include the effect of energy extraction on the flow field to produce more accurate estimates of velocity probability distributions for computing the technical resource. An example case study demonstrating a regional feasibility and project-scale resource assessment is presented in this chapter.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine renewable energy","largerWorkSubtype":{"id":15,"text":"Monograph"},"publisher":"Springer","doi":"10.1007/978-3-319-53536-4_4","usgsCitation":"Haas, K., Defne, Z., Yang, X., and Bruder, B., 2017, Hydrokinetic tidal energy resource assessments using numerical models, chap. of Marine renewable energy, p. 99-120, https://doi.org/10.1007/978-3-319-53536-4_4.","productDescription":"22 p.","startPage":"99","endPage":"120","ipdsId":"IP-079038","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":413616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2017-04-10","publicationStatus":"PW","contributors":{"editors":[{"text":"Yang, Zhaoqing","contributorId":302797,"corporation":false,"usgs":false,"family":"Yang","given":"Zhaoqing","email":"","affiliations":[],"preferred":false,"id":865470,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Copping, Andrea","contributorId":81806,"corporation":false,"usgs":true,"family":"Copping","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":865471,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Haas, Kevin","contributorId":23832,"corporation":false,"usgs":true,"family":"Haas","given":"Kevin","affiliations":[],"preferred":false,"id":865466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":865467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Xiufeng","contributorId":302796,"corporation":false,"usgs":false,"family":"Yang","given":"Xiufeng","email":"","affiliations":[],"preferred":false,"id":865468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruder, Brittany","contributorId":298808,"corporation":false,"usgs":false,"family":"Bruder","given":"Brittany","email":"","affiliations":[{"id":64689,"text":"Coastal and Hydraulics Laboratory, US Army Engineer Research and Development Center, Kitty Hawk, NC","active":true,"usgs":false}],"preferred":false,"id":865469,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70186755,"text":"70186755 - 2017 - Twentieth century warming of the tropical Atlantic captured by Sr-U paleothermometry","interactions":[],"lastModifiedDate":"2017-04-11T09:58:46","indexId":"70186755","displayToPublicDate":"2017-04-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Twentieth century warming of the tropical Atlantic captured by Sr-U paleothermometry","docAbstract":"Coral skeletons are valuable archives of past ocean conditions. However, interpretation of coral paleotemperature records is confounded by uncertainties associated with single-element ratio thermometers, including Sr/Ca. A new approach, Sr-U, uses U/Ca to constrain the influence of Rayleigh fractionation on Sr/Ca. Here we build on the initial Pacific Porites Sr-U calibration to include multiple Atlantic and Pacific coral genera from multiple coral reef locations spanning a temperature range of 23.15–30.12°C. Accounting for the wintertime growth cessation of one Bermuda coral, we show that Sr-U is strongly correlated with the average water temperature at each location (r2 = 0.91, P < 0.001, n = 19). We applied the multispecies spatial calibration between Sr-U and temperature to reconstruct a 96 year long temperature record at Mona Island, Puerto Rico, using a coral not included in the calibration. Average Sr-U derived temperature for the period 1900–1996 is within 0.12°C of the average instrumental temperature at this site and captures the twentieth century warming trend of 0.06°C per decade. Sr-U also captures the timing of multiyear variability but with higher amplitude than implied by the instrumental data. Mean Sr-U temperatures and patterns of multiyear variability were replicated in a second coral in the same grid box. Conversely, Sr/Ca records from the same two corals were inconsistent with each other and failed to capture absolute sea temperatures, timing of multiyear variability, or the twentieth century warming trend. Our results suggest that coral Sr-U paleothermometry is a promising new tool for reconstruction of past ocean temperatures.
","language":"English","publisher":"Wiley","doi":"10.1002/2016PA002976","usgsCitation":"Alpert, A.E., Cohen, A.L., Oppo, D.W., DeCarlo, T.M., Gaetani, G.A., Hernandez-Delgado, E.A., Winter, A., and Gonneea Eagle, M., 2017, Twentieth century warming of the tropical Atlantic captured by Sr-U paleothermometry: Paleoceanography, v. 32, no. 2, p. 146-160, https://doi.org/10.1002/2016PA002976.","productDescription":"15 p.","startPage":"146","endPage":"160","ipdsId":"IP-079454","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016pa002976","text":"Publisher Index Page"},{"id":339514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Mona Island","volume":"32","issue":"2","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-16","publicationStatus":"PW","scienceBaseUri":"58ec99d9e4b0b4d95d335259","contributors":{"authors":[{"text":"Alpert, Alice E.","contributorId":190715,"corporation":false,"usgs":false,"family":"Alpert","given":"Alice","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":690471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Anne L.","contributorId":190716,"corporation":false,"usgs":false,"family":"Cohen","given":"Anne","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":690472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oppo, Delia W.","contributorId":190717,"corporation":false,"usgs":false,"family":"Oppo","given":"Delia","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":690473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeCarlo, Thomas M.","contributorId":190720,"corporation":false,"usgs":false,"family":"DeCarlo","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":690474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gaetani, Glenn A.","contributorId":190718,"corporation":false,"usgs":false,"family":"Gaetani","given":"Glenn","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hernandez-Delgado, Edwin A.","contributorId":190719,"corporation":false,"usgs":false,"family":"Hernandez-Delgado","given":"Edwin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690476,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winter, Amos","contributorId":72271,"corporation":false,"usgs":false,"family":"Winter","given":"Amos","email":"","affiliations":[],"preferred":false,"id":690477,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gonneea Eagle, Meagan 0000-0001-5072-2755 mgonneea@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":174590,"corporation":false,"usgs":true,"family":"Gonneea Eagle","given":"Meagan","email":"mgonneea@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690470,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70185332,"text":"sir20175021 - 2017 - An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2012-15","interactions":[],"lastModifiedDate":"2017-04-11T15:16:36","indexId":"sir20175021","displayToPublicDate":"2017-04-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5021","title":"An update of hydrologic conditions and distribution of selected constituents in water, eastern Snake River Plain aquifer and perched groundwater zones, Idaho National Laboratory, Idaho, emphasis 2012-15","docAbstract":"Since 1952, wastewater discharged to in ltration ponds (also called percolation ponds) and disposal wells at the Idaho National Laboratory (INL) has affected water quality in the eastern Snake River Plain (ESRP) aquifer and perched groundwater zones underlying the INL. The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, maintains groundwater-monitoring networks at the INL to determine hydrologic trends and to delineate the movement of radiochemical and chemical wastes in the aquifer and in perched groundwater zones. This report presents an analysis of water-level and water-quality data collected from the ESRP aquifer, multilevel monitoring system (MLMS) wells in the ESRP aquifer, and perched groundwater wells in the USGS groundwater monitoring networks during 2012-15.
Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
https://id.water.usgs.gov
Enacted in 1937, the Federal Aid in Wildlife Restoration Act – more commonly known as the Pittman-Robertson Act – is one of the oldest and most reliable sources of funding for wildlife conservation in the United States. The result of organized support form sportsmen, fish and wildlife agencies, firearms manufacturers, conservation organizations, and even garden clubs, the PR Act created an excise tax on so-called “long guns” and ammunition used by hunters, thereby establishing the first sustainable source of revenue dedicated to conservation and land management efforts throughout the country. Later, legislators amended the PR Act to include an excise tax on pistols, revolvers, bows, arrows, and other archery equipment.
","language":"English","publisher":"The Wildlife Society","publisherLocation":"Lawrence, KS","usgsCitation":"Duda, M.D., Beppler, T., and Organ, J.F., 2017, The growth of sport shooting participation: What does this trend mean for conservation revenue?: The Wildlife Professional, v. 11, no. 2, p. 38-41.","productDescription":"4 p.","startPage":"38","endPage":"41","ipdsId":"IP-076773","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":339494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ebadabe4b0b4d95d320095","contributors":{"authors":[{"text":"Duda, Mark D.","contributorId":189048,"corporation":false,"usgs":false,"family":"Duda","given":"Mark","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":690460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beppler, Tom","contributorId":189049,"corporation":false,"usgs":false,"family":"Beppler","given":"Tom","email":"","affiliations":[],"preferred":false,"id":683706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":683704,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186750,"text":"70186750 - 2017 - Effects of climate change and anthropogenic modification on a disturbance-dependent species in a large riverine system","interactions":[],"lastModifiedDate":"2017-04-10T08:58:09","indexId":"70186750","displayToPublicDate":"2017-04-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Effects of climate change and anthropogenic modification on a disturbance-dependent species in a large riverine system","docAbstract":"Humans have altered nearly every natural disturbance regime on the planet through climate and land-use change, and in many instances, these processes may have interacting effects. For example, projected shifts in temperature and precipitation will likely influence disturbance regimes already affected by anthropogenic fire suppression or river impoundments. Understanding how disturbance-dependent species respond to complex and interacting environmental changes is important for conservation efforts. Using field-based demographic and movement rates, we conducted a metapopulation viability analysis for piping plovers (Charadrius melodus), a threatened disturbance-dependent species, along the Missouri and Platte rivers in the Great Plains of North America. Our aim was to better understand current and projected future metapopulation dynamics given that natural disturbances (flooding or high-flow events) have been greatly reduced by river impoundments and that climate change could further alter the disturbance regime. Although metapopulation abundance has been substantially reduced under the current suppressed disturbance regime (high-flow return interval ~ 20 yr), it could grow if the frequency of high-flow events increases as predicted under likely climate change scenarios. We found that a four-year return interval would maximize metapopulation abundance, and all subpopulations in the metapopulation would act as sources at a return interval of 15 yr or less. Regardless of disturbance frequency, the presence of even a small, stable source subpopulation buffered the metapopulation and sustained a low metapopulation extinction risk. Therefore, climate change could have positive effects in ecosystems where disturbances have been anthropogenically suppressed when climatic shifts move disturbance regimes toward more historical patterns. Furthermore, stable source populations, even if unintentionally maintained through anthropogenic activities, may be critical for the persistence of metapopulations of early-successional species under both suppressed disturbance regimes and disturbance regimes where climate change has further altered disturbance frequency or scope.
","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1002/ecs2.1653","usgsCitation":"Zeigler, S.L., Catlin, D.H., Bomberger Brown, M., Fraser, J., Dinan, L.R., Hunt, K.L., Jorgensen, J.G., and Karpanty, S.M., 2017, Effects of climate change and anthropogenic modification on a disturbance-dependent species in a large riverine system: Ecosphere, v. 8, no. 1, e01653: 16 p., https://doi.org/10.1002/ecs2.1653.","productDescription":"e01653: 16 p.","ipdsId":"IP-080891","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1653","text":"Publisher Index Page"},{"id":339493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Nebraska, South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.45,\n 40.5\n ],\n [\n -96,\n 40.5\n ],\n [\n -96,\n 43.5\n ],\n [\n -98.45,\n 43.5\n ],\n [\n -98.45,\n 40.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"58ebadaae4b0b4d95d320093","contributors":{"authors":[{"text":"Zeigler, Sara L. 0000-0002-5472-769X szeigler@usgs.gov","orcid":"https://orcid.org/0000-0002-5472-769X","contributorId":169601,"corporation":false,"usgs":true,"family":"Zeigler","given":"Sara","email":"szeigler@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catlin, Daniel H.","contributorId":87859,"corporation":false,"usgs":false,"family":"Catlin","given":"Daniel","email":"","middleInitial":"H.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":690453,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bomberger Brown, M.","contributorId":169602,"corporation":false,"usgs":false,"family":"Bomberger Brown","given":"M.","email":"","affiliations":[{"id":25563,"text":"School of Natural Resources, University of Nebraska, Lincoln, NE 68583","active":true,"usgs":false}],"preferred":false,"id":690454,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, J.D.","contributorId":190706,"corporation":false,"usgs":false,"family":"Fraser","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":690455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dinan, Lauren R.","contributorId":169605,"corporation":false,"usgs":false,"family":"Dinan","given":"Lauren","email":"","middleInitial":"R.","affiliations":[{"id":25564,"text":"Nongame Bird Program, Nebraska Game and Parks Commission, Lincoln, NE 68503","active":true,"usgs":false}],"preferred":false,"id":690456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, Kelsi L.","contributorId":169606,"corporation":false,"usgs":false,"family":"Hunt","given":"Kelsi","email":"","middleInitial":"L.","affiliations":[{"id":12780,"text":"Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA 24061, USA","active":true,"usgs":false}],"preferred":false,"id":690457,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jorgensen, Joel G.","contributorId":169607,"corporation":false,"usgs":false,"family":"Jorgensen","given":"Joel","email":"","middleInitial":"G.","affiliations":[{"id":25564,"text":"Nongame Bird Program, Nebraska Game and Parks Commission, Lincoln, NE 68503","active":true,"usgs":false}],"preferred":false,"id":690458,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karpanty, Sarah M.","contributorId":63307,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":690459,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}