{"pageNumber":"950","pageRowStart":"23725","pageSize":"25","recordCount":184617,"records":[{"id":70190627,"text":"70190627 - 2017 - In situ detection of boron by ChemCam on Mars","interactions":[],"lastModifiedDate":"2018-08-03T16:54:56","indexId":"70190627","displayToPublicDate":"2017-09-01T16:54:47","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"In situ detection of boron by ChemCam on Mars","docAbstract":"<p><span>We report the first in situ detection of boron on Mars. Boron has been detected in Gale crater at levels &lt;0.05 wt % B by the NASA&nbsp;</span><i>Curiosity</i><span>&nbsp;rover ChemCam instrument in calcium‐sulfate‐filled fractures, which formed in a late‐stage groundwater circulating mainly in phyllosilicate‐rich bedrock interpreted as lacustrine in origin. We consider two main groundwater‐driven hypotheses to explain the presence of boron in the veins: leaching of borates out of bedrock or the redistribution of borate by dissolution of borate‐bearing evaporite deposits. Our results suggest that an evaporation mechanism is most likely, implying that Gale groundwaters were mildly alkaline. On Earth, boron may be a necessary component for the origin of life; on Mars, its presence suggests that subsurface groundwater conditions could have supported prebiotic chemical reactions if organics were also present and provides additional support for the past habitability of Gale crater.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL074480","usgsCitation":"Gasda, P.J., Haldeman, E.B., Wiens, R.C., Rapin, W., Bristow, T.F., Bridges, J.C., Schwenzer, S.P., Clark, B., Herkenhoff, K.E., Frydenvang, J., Lanza, N.L., Maurice, S., Clegg, S.M., Delapp, D.M., Sanford, V.L., Bodine, M.R., and McInroy, R., 2017, In situ detection of boron by ChemCam on Mars: Geophysical Research Letters, v. 44, no. 17, p. 8739-8748, https://doi.org/10.1002/2017GL074480.","productDescription":"10 p.","startPage":"8739","endPage":"8748","ipdsId":"IP-086090","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":461415,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl074480","text":"Publisher Index Page"},{"id":356166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-05","publicationStatus":"PW","scienceBaseUri":"5b6fc5c8e4b0f5d57878eb41","contributors":{"authors":[{"text":"Gasda, Patrick J.","contributorId":196313,"corporation":false,"usgs":false,"family":"Gasda","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":710037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haldeman, Ethan B.","contributorId":196314,"corporation":false,"usgs":false,"family":"Haldeman","given":"Ethan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":710038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":710039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rapin, William","contributorId":172305,"corporation":false,"usgs":false,"family":"Rapin","given":"William","email":"","affiliations":[{"id":27023,"text":"Institut de Recherche en Astrophysique et Planétologie","active":true,"usgs":false}],"preferred":false,"id":710040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bristow, Thomas F.","contributorId":196315,"corporation":false,"usgs":false,"family":"Bristow","given":"Thomas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":710041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bridges, John C.","contributorId":173222,"corporation":false,"usgs":false,"family":"Bridges","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":27194,"text":"University of Leicester","active":true,"usgs":false}],"preferred":false,"id":710042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwenzer, Susanne P.","contributorId":196316,"corporation":false,"usgs":false,"family":"Schwenzer","given":"Susanne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":710043,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clark, Benton C.","contributorId":127516,"corporation":false,"usgs":false,"family":"Clark","given":"Benton C.","affiliations":[{"id":7038,"text":"Space Science Institute, Boulder, Colorado","active":true,"usgs":false}],"preferred":false,"id":710044,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herkenhoff, Kenneth E. 0000-0002-3153-6663 kherkenhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-3153-6663","contributorId":2275,"corporation":false,"usgs":true,"family":"Herkenhoff","given":"Kenneth","email":"kherkenhoff@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":710036,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Frydenvang, Jens","contributorId":173225,"corporation":false,"usgs":false,"family":"Frydenvang","given":"Jens","email":"","affiliations":[{"id":27196,"text":"LANL","active":true,"usgs":false}],"preferred":false,"id":710045,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lanza, Nina L.","contributorId":140299,"corporation":false,"usgs":false,"family":"Lanza","given":"Nina","email":"","middleInitial":"L.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":710046,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Maurice, Sylvestre","contributorId":82626,"corporation":false,"usgs":false,"family":"Maurice","given":"Sylvestre","email":"","affiliations":[],"preferred":false,"id":710047,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Clegg, Samuel M.","contributorId":23460,"corporation":false,"usgs":false,"family":"Clegg","given":"Samuel","email":"","middleInitial":"M.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":710048,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Delapp, Dorothea M.","contributorId":196317,"corporation":false,"usgs":false,"family":"Delapp","given":"Dorothea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":710049,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sanford, Veronica L.","contributorId":196318,"corporation":false,"usgs":false,"family":"Sanford","given":"Veronica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":710050,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bodine, Madeleine R.","contributorId":196319,"corporation":false,"usgs":false,"family":"Bodine","given":"Madeleine","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":710051,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"McInroy, Rhonda","contributorId":140335,"corporation":false,"usgs":false,"family":"McInroy","given":"Rhonda","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":710052,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70189964,"text":"sir20175084 - 2017 - Characterization of water quality and suspended sediment during cold-season flows, warm-season flows, and stormflows in the Fountain and Monument Creek watersheds, Colorado, 2007–2015","interactions":[],"lastModifiedDate":"2017-09-05T10:02:12","indexId":"sir20175084","displayToPublicDate":"2017-09-01T16:00:00","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":"2017-5084","displayTitle":"Characterization of water quality and suspended sediment during cold-season flows, warm-season flows, and stormflows in the Fountain and Monument Creek watersheds, Colorado, 2007–2015","title":"Characterization of water quality and suspended sediment during cold-season flows, warm-season flows, and stormflows in the Fountain and Monument Creek watersheds, Colorado, 2007–2015","docAbstract":"<p>From 2007 through 2015, the U.S. Geological Survey, in cooperation with Colorado Springs City Engineering, conducted a study in the Fountain and Monument Creek watersheds, Colorado, to characterize surface-water quality and suspended-sediment conditions for three different streamflow regimes with an emphasis on characterizing water quality during storm runoff. Data collected during this study were used to evaluate the effects of stormflows and wastewater-treatment effluent discharge on Fountain and Monument Creeks in the Colorado Springs, Colorado, area. Water-quality samples were collected at 2 sites on Upper Fountain Creek, 2 sites on Monument Creek, 3 sites on Lower Fountain Creek, and 13 tributary sites during 3 flow regimes: cold-season flow (November–April), warm-season flow (May–October), and stormflow from 2007 through 2015. During 2015, additional samples were collected and analyzed for <i>Escherichia coli</i> (<i>E. coli</i>) during dry weather conditions at 41 sites, located in <i>E. coli</i> impaired stream reaches, to help identify source areas and scope of the impairment.</p><p>Concentrations of <i>E. coli</i>, total arsenic, and dissolved copper, selenium, and zinc in surface-water samples were compared to Colorado in-stream standards. Stormflow concentrations of <i>E. coli</i> frequently exceeded the recreational use standard of 126 colonies per 100 milliliters at main-stem and tributary sites by more than an order of magnitude. Even though median <i>E. coli</i> concentrations in warm-season flow samples were lower than median concentrations in storm-flow samples, the water quality standard for<i> E. coli</i> was still exceeded at most&nbsp;main-stem sites and many tributary sites during warm-season flows. Six samples (three warm-season flow and three stormflow samples) collected from Upper Fountain Creek, upstream from the confluence of Monument Creek, and two stormflow samples collected from Lower Fountain Creek, downstream from the confluence with Monument Creek, exceeded the acute water-quality standard for total arsenic of 50 micrograms per liter. All concentrations of dissolved copper, selenium, and zinc measured in samples were below the water-quality standard.</p><p>Concentrations of dissolved nitrate plus nitrite generally increased from upstream to downstream during all flow periods. The largest downstream increase in dissolved nitrate plus nitrite concentration was measured between sites 07103970 and 07104905 on Monument Creek. All but one tributary that drain into Monument Creek between the two sites had higher median nitrate plus nitrite concentrations than the nearest upstream site on Monument Creek, site 07103970 (MoCr_Woodmen). Increases in the concentration of dissolved nitrate plus nitrite were also evident below wastewater treatment plants located on Fountain Creek.</p><p>Most stormflow concentrations of dissolved trace elements were smaller than concentrations from cold-season flow or warm-season samples. However, median concentrations of total arsenic, lead, manganese, nickel, and zinc generally were much larger during periods of stormflow than during cold-season flow or warm-season fl. Median concentrations of total arsenic, total copper, total lead, dissolved and total manganese, total nickel, dissolved and total selenium, and dissolved and total zinc concentrations increased from 1.5 to 28.5 times from site 07103700 (FoCr_Manitou) to 07103707 (FoCr_8th) during cold-season and warm-season flows, indicating a large source of trace elements between these two sites. Both of these sites are located on Fountain Creek, upstream from the confluence with Monument Creek.</p><p>Median suspended-sediment concentrations and median suspended-sediment loads increased in the downstream direction during all streamflow regimes between Monument Creek sites 07103970 (MoCr_Woodmen) and 07104905 (MoCr_Bijou); however, statistically significant increase (p-value less than 0.05) were only present during warm-season flow and stormflow. Significant increases in median suspended sediment concentrations were measured during cold-season flow and warm-season flow between Upper Fountain Creek site 07103707 (FoCr_8th) and Lower Fountain Creek site 07105500 (FoCr_Nevada) because of inflows from Monument Creek with higher suspended-sediment concentrations. Median suspended-sediment concentrations between sites 07104905 (MoCr_Bijou) and 07105500 (FoCr_Nevada) increased significantly during&nbsp;warm-season flow but showed no significant differences during cold-season flow and stormflow. Significant decreases in median suspended-sediment concentrations were measured between sites 07105500 (FoCr_Nevada) and 07105530 (FoCr_Janitell) during all flow regimes.</p><p>Suspended-sediment concentrations, discharges, and yields associated with stormflow were significantly larger than those associated with warm-season flow. Although large spatial variations in suspended-sediment yields occurred during warm-season flows, the suspended-sediment yield associated with stormflow were as much as 1,000 times larger than the suspended-sediment yields that occurred during warm-season flow.</p><p>&nbsp;<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175084","collaboration":"Prepared in cooperation with Colorado Springs City Engineering","usgsCitation":"Miller, L.D., and Stogner, R.W., Sr., 2017, Characterization of water quality and suspended sediment during cold-season flows, warm-season flows, and stormflows in the Fountain and Monument Creek Watersheds, Colorado, 2007–2015: U.S. Geological Survey Scientific Investigations Report 2017–5084, 47 p., https://doi.org/10.3133/sir20175084.","productDescription":"viii, 47 p.","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-086670","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":345211,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5084/coverthb.jpg"},{"id":345212,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5084/sir20175084.pdf","text":"Report","size":"18.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5084"}],"country":"United States","state":"Colorado","otherGeospatial":"Fountain Creek watershed, Monument Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.4248046875,\n              38.272688535980976\n            ],\n            [\n              -102.919921875,\n              38.272688535980976\n            ],\n            [\n              -102.919921875,\n              40.329795743702064\n            ],\n            [\n              -105.4248046875,\n              40.329795743702064\n            ],\n            [\n              -105.4248046875,\n              38.272688535980976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://co.water.usgs.gov/\" data-mce-href=\"https://co.water.usgs.gov/\">Director, Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-415<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Investigation</li><li>Water Quality and Suspended Sediment in the Fountain and Monument Creek Watersheds</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2017-09-01","noUsgsAuthors":false,"publicationDate":"2017-09-01","publicationStatus":"PW","scienceBaseUri":"59afb79de4b0e9bde1351131","contributors":{"authors":[{"text":"Miller, Lisa D. 0000-0002-3523-0768 ldmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-3523-0768","contributorId":1125,"corporation":false,"usgs":true,"family":"Miller","given":"Lisa","email":"ldmiller@usgs.gov","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stogner 0000-0002-3185-1452 rstogner@usgs.gov","orcid":"https://orcid.org/0000-0002-3185-1452","contributorId":938,"corporation":false,"usgs":true,"family":"Stogner","email":"rstogner@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":708705,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190005,"text":"70190005 - 2017 - Optical and biochemical properties of a southwest Florida whiting event","interactions":[],"lastModifiedDate":"2018-08-07T14:51:54","indexId":"70190005","displayToPublicDate":"2017-09-01T14:51:47","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Optical and biochemical properties of a southwest Florida whiting event","docAbstract":"<p><span>“Whiting” in oceanography is a term used to describe a sharply defined patch of water that contains high levels of suspended, fine-grained&nbsp;calcium carbonate&nbsp;(CaCO</span><sub>3</sub><span>). Whitings have been reported in many oceanic and&nbsp;lake environments, and recently have been reported in southwest Florida&nbsp;coastal waters. Here, field and laboratory measurements were used to study optical, biological, and chemical properties of whiting waters off southwest Florida. No significant difference was found in chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentrations between whiting and outside waters (non-whiting water), but average particle&nbsp;backscattering&nbsp;coefficients in whiting waters were double those in outside waters, and&nbsp;remote sensing&nbsp;reflectance in whiting waters was higher at all wavelengths (400–700&nbsp;nm). While other potential causes cannot be completely ruled out, particle composition and biochemical differences between sampled whiting water, contiguous water, and outside water indicate a biologically precipitated mode of whiting formation. Taxonomic examination of marine&nbsp;phytoplankton&nbsp;samples collected during a whiting event revealed a community dominated by autotrophic&nbsp;picoplankton&nbsp;and a small (&lt;10&nbsp;μm), centric&nbsp;diatom&nbsp;species, identified as&nbsp;</span><i>Thalassiosira</i><span>&nbsp;sp. through the use of&nbsp;scanning electron microscopy. Amorphous to fully formed&nbsp;crystals&nbsp;of CaCO</span><sub>3</sub><span>&nbsp;were observed along the girdle bands of&nbsp;</span><i>Thalassiosira</i><span>&nbsp;sp. cells and autotrophic picoplankton cells. Although carbonate parameters differed from whiting and contiguous to outside water, more sampling is needed to determine if these results are statistically significant.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2017.07.017","usgsCitation":"Long, J., Hu, C., Robbins, L.L., Byrne, R.H., Paul, J.H., and Wolny, J.L., 2017, Optical and biochemical properties of a southwest Florida whiting event: Estuarine, Coastal and Shelf Science, v. 196, p. 258-268, https://doi.org/10.1016/j.ecss.2017.07.017.","productDescription":"11 p.","startPage":"258","endPage":"268","ipdsId":"IP-081745","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469545,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2017.07.017","text":"Publisher Index Page"},{"id":356303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"196","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc5c9e4b0f5d57878eb43","contributors":{"authors":[{"text":"Long, Jacqueline","contributorId":45646,"corporation":false,"usgs":true,"family":"Long","given":"Jacqueline","email":"","affiliations":[],"preferred":false,"id":707109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, Chaunmin","contributorId":195445,"corporation":false,"usgs":false,"family":"Hu","given":"Chaunmin","email":"","affiliations":[],"preferred":false,"id":707110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":707108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrne, Robert H.","contributorId":149366,"corporation":false,"usgs":false,"family":"Byrne","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":17720,"text":"College of Marine Science USF","active":true,"usgs":false}],"preferred":false,"id":707111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paul, John H.","contributorId":28183,"corporation":false,"usgs":true,"family":"Paul","given":"John","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":707112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolny, Jennifer L.","contributorId":195447,"corporation":false,"usgs":false,"family":"Wolny","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":707113,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191175,"text":"70191175 - 2017 - Crossing boundaries in a collaborative modeling workspace","interactions":[],"lastModifiedDate":"2017-09-28T13:14:42","indexId":"70191175","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Crossing boundaries in a collaborative modeling workspace","docAbstract":"<p><span>There is substantial literature on the importance of bridging across disciplinary and science–management boundaries. One of the ways commonly suggested to cross boundaries is for participants from both sides of the boundary to jointly produce information (i.e., knowledge co-production). But simply providing tools or bringing people together in the same room is not sufficient. Here we present a case study documenting the mechanisms by which managers and scientists collaborated to incorporate climate change projections into Colorado’s State Wildlife Action Plan. A critical component of the project was the use of a collaborative modeling and visualization workspace: the U.S. Geological Survey’s Resource for Advanced Modeling (RAM). Using video analysis and pre/post surveys from this case study, we examine how the RAM facilitated cognitive and social processes that co-produced a more salient and credible end product. This case provides practical suggestions to scientists and practitioners who want to implement actionable science.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2017.1290178","usgsCitation":"Morisette, J.T., Cravens, A.E., Miller, B., Talbert, M., Talbert, C., Jarnevich, C.S., Fink, M., Decker, K., and Odell, E., 2017, Crossing boundaries in a collaborative modeling workspace: Society and Natural Resources, v. 30, no. 9, p. 1158-1167, https://doi.org/10.1080/08941920.2017.1290178.","productDescription":"10 p.","startPage":"1158","endPage":"1167","ipdsId":"IP-081405","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":346161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-10","publicationStatus":"PW","scienceBaseUri":"59ce0a2be4b05fe04cc02108","contributors":{"authors":[{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":711420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":195418,"corporation":false,"usgs":true,"family":"Miller","given":"Brian W.","email":"bwmiller@usgs.gov","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":711425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbert, Marian","contributorId":196751,"corporation":false,"usgs":false,"family":"Talbert","given":"Marian","affiliations":[],"preferred":false,"id":711421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbert, Colin 0000-0002-9505-1876 talbertc@usgs.gov","orcid":"https://orcid.org/0000-0002-9505-1876","contributorId":181913,"corporation":false,"usgs":true,"family":"Talbert","given":"Colin","email":"talbertc@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fink, Michelle","contributorId":196753,"corporation":false,"usgs":false,"family":"Fink","given":"Michelle","email":"","affiliations":[],"preferred":false,"id":711426,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Decker, Karin","contributorId":196754,"corporation":false,"usgs":false,"family":"Decker","given":"Karin","email":"","affiliations":[],"preferred":false,"id":711427,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Odell, Eric","contributorId":196755,"corporation":false,"usgs":false,"family":"Odell","given":"Eric","email":"","affiliations":[],"preferred":false,"id":711428,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70191094,"text":"70191094 - 2017 - Taxonomic reassessment of bats from Castelnau’s expedition to South America (1843–1847): Phyllostoma angusticeps Gervais, 1856 (Chiroptera, Phyllostomidae)","interactions":[],"lastModifiedDate":"2017-09-26T10:36:46","indexId":"70191094","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2652,"text":"Mammalia","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Taxonomic reassessment of bats from Castelnau’s expedition to South America (1843–1847): <i>Phyllostoma angusticeps Gervais</i>, 1856 (Chiroptera, Phyllostomidae)","title":"Taxonomic reassessment of bats from Castelnau’s expedition to South America (1843–1847): Phyllostoma angusticeps Gervais, 1856 (Chiroptera, Phyllostomidae)","docAbstract":"<p><span>Gervais, in 1856, described the bats collected during Castelnau’s expedition through South America (1843–1847). We report that&nbsp;</span><i>Phyllostoma angusticeps</i><span><span>&nbsp;</span>(Gervais, 1856), long treated as a junior synonym of<span>&nbsp;</span></span><i>Phyllostomus discolor</i><span>(Wagner, 1843), is not a representative of the genus<span>&nbsp;</span></span><i>Phyllostomus</i><span>. In fact, as we demonstrate, it represents the taxon known as<span>&nbsp;</span></span><i>Trachops cirrhosus</i><span>. We also provide a summary, in tabular form, of the genera and species first described by Gervais (1856).</span></p>","language":"English","publisher":"De Gruyter","doi":"10.1515/mammalia-2016-0043","usgsCitation":"Arroyo-Cabrales, J., Gardner, A., Sige, B., Catzeflis, F., and McCarthy, T., 2017, Taxonomic reassessment of bats from Castelnau’s expedition to South America (1843–1847): Phyllostoma angusticeps Gervais, 1856 (Chiroptera, Phyllostomidae): Mammalia, v. 81, no. 5, p. 513-517, https://doi.org/10.1515/mammalia-2016-0043.","startPage":"513","endPage":"517","ipdsId":"IP-074988","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469553,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.umontpellier.fr/hal-01836334","text":"External Repository"},{"id":346088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59cb672fe4b017cf3141c684","contributors":{"authors":[{"text":"Arroyo-Cabrales, Joaquín","contributorId":196696,"corporation":false,"usgs":false,"family":"Arroyo-Cabrales","given":"Joaquín","affiliations":[],"preferred":false,"id":711155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Alfred 0000-0002-4945-1641 agardner@usgs.gov","orcid":"https://orcid.org/0000-0002-4945-1641","contributorId":166760,"corporation":false,"usgs":true,"family":"Gardner","given":"Alfred","email":"agardner@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":711154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sige, Bernard","contributorId":196697,"corporation":false,"usgs":false,"family":"Sige","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":711156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Catzeflis, Francois","contributorId":196698,"corporation":false,"usgs":false,"family":"Catzeflis","given":"Francois","email":"","affiliations":[],"preferred":false,"id":711157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCarthy, Timothy J.","contributorId":87016,"corporation":false,"usgs":true,"family":"McCarthy","given":"Timothy J.","affiliations":[],"preferred":false,"id":711158,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193099,"text":"70193099 - 2017 - Coastal eolian sand-ramp development related to paleo-sea-level changes during the Latest Pleistocene and Holocene (21–0 ka) in San Miguel Island, California, U.S.A.","interactions":[],"lastModifiedDate":"2017-11-06T12:37:47","indexId":"70193099","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Coastal eolian sand-ramp development related to paleo-sea-level changes during the Latest Pleistocene and Holocene (21–0 ka) in San Miguel Island, California, U.S.A.","docAbstract":"<p><span>Coastal eolian sand ramps (5–130 m elevation) on the northern slope (windward) side of the small San Miguel Island (13 km in W-E length) range in age from late Pleistocene to modern time, though a major hiatus in sand-ramp growth occurred during the early Holocene marine transgression (16–9 ka). The Holocene sand ramps (1–5 m measured thicknesses) currently lack large dune forms, thereby representing deflated erosional remnants, locally covering thicker late Pleistocene sand-ramp deposits. The ramp sand was initially supplied from the adjacent island-shelf platform, extending about 20 km north of the present coastline. The sand-ramp deposits and interbedded loess soils were&nbsp;</span><sup>14</sup><span>C dated using 112 samples from 32 archaeological sites and other geologic sections. Latest Pleistocene sand ramps (66–18 ka) were derived from across-shelf eolian sand transport during marine low stands. Shoreward wave transport supplied remobilized late Pleistocene sand from the inner shelf to Holocene beaches, where dominant NW winds supplied sand to the sand ramps. The onset dates of the sand-ramp deposition in San Miguel are 7.2 ± 1.5 ka (sample<span>&nbsp;</span></span><i>n</i><span><span>&nbsp;</span>= 14). The internal strata dates in the vertically accreting sand ramps are 3.4 ± 1.7 ka (</span><i>n</i><span><span>&nbsp;</span>= 34). The sand ramps in San Miguel show wide-scale termination of sand supply in the latest Holocene time. The sand-ramp top dates or burial dates are 1.7 ± 0.9 ka (</span><i>n</i><span><span>&nbsp;</span>= 28). The latest Holocene sand ramps are truncated along most of the island's northern coastline, indicating recent losses of nearshore sand reserves to onshore, alongshore, and, possibly, offshore sand sinks. The truncated sand ramps in San Miguel Island and in other sand-depleted marine coastlines provide warnings about future beach erosion and/or shoreline retreat from accelerated sea-level rise accompanying predicted global warming.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-16-00148.1","usgsCitation":"Peterson, C.D., Erlandson, J.M., Stock, E., Hostetler, S.W., and Price, D.M., 2017, Coastal eolian sand-ramp development related to paleo-sea-level changes during the Latest Pleistocene and Holocene (21–0 ka) in San Miguel Island, California, U.S.A.: Journal of Coastal Research, v. 33, no. 5, p. 1022-1037, https://doi.org/10.2112/JCOASTRES-D-16-00148.1.","productDescription":"16 p.","startPage":"1022","endPage":"1037","ipdsId":"IP-081755","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":348269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Miguel Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.4676628112793,\n              34.009269564176414\n            ],\n            [\n              -120.29050827026366,\n              34.009269564176414\n            ],\n            [\n              -120.29050827026366,\n              34.08024666743329\n            ],\n            [\n              -120.4676628112793,\n              34.08024666743329\n            ],\n            [\n              -120.4676628112793,\n              34.009269564176414\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e88ae4b09af898c8cb7f","contributors":{"authors":[{"text":"Peterson, Curt D.","contributorId":199036,"corporation":false,"usgs":false,"family":"Peterson","given":"Curt","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":717981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erlandson, Jon M.","contributorId":68114,"corporation":false,"usgs":false,"family":"Erlandson","given":"Jon","email":"","middleInitial":"M.","affiliations":[{"id":7025,"text":"Museum of Natural and Cultural History, University of Oregon","active":true,"usgs":false}],"preferred":false,"id":717982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Errol","contributorId":199037,"corporation":false,"usgs":false,"family":"Stock","given":"Errol","email":"","affiliations":[],"preferred":false,"id":717983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Price, David M.","contributorId":199038,"corporation":false,"usgs":false,"family":"Price","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":717984,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192142,"text":"70192142 - 2017 - Interactive effects of deer exclusion and exotic plant removal on deciduous forest understory communities","interactions":[],"lastModifiedDate":"2017-11-06T12:34:45","indexId":"70192142","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5538,"text":"AoB PLANTS","active":true,"publicationSubtype":{"id":10}},"title":"Interactive effects of deer exclusion and exotic plant removal on deciduous forest understory communities","docAbstract":"<p><span>Mammalian herbivory and exotic plant species interactions are an important ongoing research topic, due to their presumed impacts on native biodiversity. The extent to which these interactions affect forest understory plant community composition and persistence was the subject of our study. We conducted a 5-year, 2 × 2 factorial experiment in three mid-Atlantic US deciduous forests with high densities of white-tailed deer (</span><i>Odocoileus virginianus</i><span>) and exotic understory plants. We predicted: (i) only deer exclusion and exotic plant removal in tandem would increase native plant species metrics; and (ii) deer exclusion alone would decrease exotic plant abundance over time. Treatments combining exotic invasive plant removal and deer exclusion for plots with high initial cover, while not differing from fenced or exotic removal only plots, were the only ones to exhibit positive richness responses by native herbaceous plants compared to control plots. Woody seedling metrics were not affected by any treatments. Deer exclusion caused significant increases in abundance and richness of native woody species &gt;30 cm in height. Abundance changes in two focal members of the native sapling community showed that oaks (</span><i>Quercus</i><span><span>&nbsp;</span>spp.) increased only with combined exotic removal and deer exclusion, while shade-tolerant maples (</span><i>Acer</i><span><span>&nbsp;</span>spp.) showed no changes. We also found significant declines in invasive Japanese stiltgrass (</span><i>Microstegium vimineum</i><span>) abundance in deer-excluded plots. Our study demonstrates alien invasive plants and deer impact different components and life-history stages of the forest plant community, and controlling both is needed to enhance understory richness and abundance. Alien plant removal combined with deer exclusion will most benefit native herbaceous species richness under high invasive cover conditions while neither action may impact native woody seedlings. For larger native woody species, only deer exclusion is needed for such increases. Deer exclusion directly facilitated declines in invasive species abundance. Resource managers should consider addressing both factors to achieve their forest management goals.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/aobpla/plx046","usgsCitation":"Bourg, N., McShea, W.J., Herrmann, V., and Stewart, C.M., 2017, Interactive effects of deer exclusion and exotic plant removal on deciduous forest understory communities: AoB PLANTS, v. 9, no. 5, p. 1-16, https://doi.org/10.1093/aobpla/plx046.","productDescription":"plx046; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-086985","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469554,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/aobpla/plx046","text":"Publisher Index Page"},{"id":348268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","volume":"9","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-07","publicationStatus":"PW","scienceBaseUri":"5a07e88be4b09af898c8cb87","contributors":{"authors":[{"text":"Bourg, Norman 0000-0002-7443-1992 nbourg@usgs.gov","orcid":"https://orcid.org/0000-0002-7443-1992","contributorId":197809,"corporation":false,"usgs":true,"family":"Bourg","given":"Norman","email":"nbourg@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":714434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McShea, William J.","contributorId":197834,"corporation":false,"usgs":false,"family":"McShea","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714435,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herrmann, Valentine","contributorId":181782,"corporation":false,"usgs":false,"family":"Herrmann","given":"Valentine","email":"","affiliations":[],"preferred":false,"id":714436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Chad M.","contributorId":197857,"corporation":false,"usgs":false,"family":"Stewart","given":"Chad","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714437,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190466,"text":"70190466 - 2017 - Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.)","interactions":[],"lastModifiedDate":"2023-06-23T14:39:28.289099","indexId":"70190466","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Characterization of <i>Monkeypox virus</i> infection in African rope squirrels (<i>Funisciurus sp.</i>)","title":"Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.)","docAbstract":"<p><span>Monkeypox (MPX) is a zoonotic disease endemic in Central and West Africa and is caused by&nbsp;</span><i>Monkeypox virus</i><span><span>&nbsp;</span>(MPXV), the most virulent<span>&nbsp;</span></span><i>Orthopoxvirus</i><span><span>&nbsp;</span>affecting humans since the eradication of<span>&nbsp;</span></span><i>Variola virus</i><span><span>&nbsp;</span>(VARV). Many aspects of the MPXV transmission cycle, including the natural host of the virus, remain unknown. African rope squirrels (</span><i>Funisciurus spp</i><span>.) are considered potential reservoirs of MPXV, as serosurveillance data in Central Africa has confirmed the circulation of the virus in these rodent species</span><span>. In order to understand the tissue tropism and clinical signs associated with infection with MPXV in these species, wild-caught rope squirrels were experimentally infected via intranasal and intradermal exposure with a recombinant MPXV strain from Central Africa engineered to express the luciferase gene. After infection, we monitored viral replication and shedding via<span>&nbsp;</span></span><i>in vivo</i><span><span>&nbsp;</span>bioluminescent imaging, viral culture and real time PCR. MPXV infection in African rope squirrels caused mortality and moderate to severe morbidity, with clinical signs including pox lesions in the skin, eyes, mouth and nose, dyspnea, and profuse nasal discharge. Both intranasal and intradermal exposures induced high levels of viremia, fast systemic spread, and long periods of viral shedding. Shedding and luminescence peaked at day 6 post infection and was still detectable after 15 days. Interestingly, one sentinel animal, housed in the same room but in a separate cage, also developed severe MPX disease and was euthanized. This study indicates that MPXV causes significant pathology in African rope squirrels and infected rope squirrels shed large quantities of virus, supporting their role as a potential source of MPXV transmission to humans and other animals in endemic MPX regions.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pntd.0005809","usgsCitation":"Falendysz, E., Lopera, J.G., Doty, J.B., Nakazawa, Y.J., Crill, C., Lorenzsonn, F., Kalemba, L.N., Ronderos, M., Meija, A., Malekani, J.M., Karem, K.L., Caroll, D., Osorio, J.E., and Rocke, T.E., 2017, Characterization of Monkeypox virus infection in African rope squirrels (Funisciurus sp.): PLoS Neglected Tropical Diseases, v. 11, no. 8, p. 1-23, https://doi.org/10.1371/journal.pntd.0005809.","productDescription":"e0005809; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-087668","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469557,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0005809","text":"Publisher Index Page"},{"id":345421,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418364,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GH9GGM","text":"USGS data release","description":"USGS data release","linkHelpText":"Monkeypox challenge of rope squirrels: data"}],"country":"Republic of the Congo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              17.839769957792612,\n              0.23815024003401675\n            ],\n            [\n              17.98214158904591,\n              0.3734013322288092\n            ],\n      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G.","contributorId":7574,"corporation":false,"usgs":false,"family":"Lopera","given":"Juan","email":"","middleInitial":"G.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":709304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doty, Jeffrey B.","contributorId":196071,"corporation":false,"usgs":false,"family":"Doty","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":709305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nakazawa, Yoshinori J.","contributorId":150106,"corporation":false,"usgs":false,"family":"Nakazawa","given":"Yoshinori","email":"","middleInitial":"J.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":709306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crill, Colleen","contributorId":196072,"corporation":false,"usgs":false,"family":"Crill","given":"Colleen","email":"","affiliations":[],"preferred":false,"id":709307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lorenzsonn, Faye","contributorId":196073,"corporation":false,"usgs":false,"family":"Lorenzsonn","given":"Faye","email":"","affiliations":[],"preferred":false,"id":709308,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kalemba, Lem’s N.","contributorId":196074,"corporation":false,"usgs":false,"family":"Kalemba","given":"Lem’s","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":709309,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ronderos, Monica","contributorId":196075,"corporation":false,"usgs":false,"family":"Ronderos","given":"Monica","email":"","affiliations":[],"preferred":false,"id":709310,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meija, Andres","contributorId":196076,"corporation":false,"usgs":false,"family":"Meija","given":"Andres","email":"","affiliations":[],"preferred":false,"id":709311,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Malekani, Jean M.","contributorId":196077,"corporation":false,"usgs":false,"family":"Malekani","given":"Jean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":709312,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Karem, Kevin L.","contributorId":150111,"corporation":false,"usgs":false,"family":"Karem","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":709313,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Caroll, Darrin","contributorId":196108,"corporation":false,"usgs":false,"family":"Caroll","given":"Darrin","email":"","affiliations":[],"preferred":false,"id":709315,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Osorio, Jorge E.","contributorId":174759,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":709316,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":709314,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70194548,"text":"70194548 - 2017 - Luminescence dating of paleolake deltas and glacial deposits in Garwood Valley, Antarctica: Implications for climate, Ross ice sheet dynamics, and paleolake duration","interactions":[],"lastModifiedDate":"2022-10-31T16:13:17.565876","indexId":"70194548","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Luminescence dating of paleolake deltas and glacial deposits in Garwood Valley, Antarctica: Implications for climate, Ross ice sheet dynamics, and paleolake duration","docAbstract":"<p style=\"text-align: justify;\" data-mce-style=\"text-align: justify;\"><span>The formation of perched deltas and other lacustrine deposits in the McMurdo Dry Valleys of Antarctica is widely considered to be evidence of valley-filling lakes dammed by the grounded Ross Sea ice sheet during the local Last Glacial Maximum, with lake drainage interpreted as a record of grounding line retreat. We used luminescence dating to determine the age of paleolake deltas and glacial tills in Garwood Valley, a coastal dry valley that opens to the Ross Sea. Luminescence ages are stratigraphically consistent with radiocarbon results from algal mats within the same delta deposits but suggest radiocarbon dates from lacustrine carbonates may overestimate deposit ages by thousands of years. Results suggest that late Holocene delta deposition into paleolake Howard in Garwood Valley persisted until ca. 3.5 ka. This is significantly younger than the date when grounded ice is thought to have retreated from the Ross Sea. Our evidence suggests that the local, stranded ice-cored till topography in Garwood Valley, rather than regional ice-sheet dynamics, may have controlled lake levels for some McMurdo Dry Valleys paleolakes. Age control from the supraglacial Ross Sea drift suggests grounding and up-valley advance of the Ross Sea ice sheet into Garwood valley during marine oxygen isotope stage (MIS) 4 (71–78 ka) and the local Last Glacial Maximum (9–10 ka). This work demonstrates the power of combining luminescence dating with existing radiocarbon data sets to improve understanding of the relationships among paleolake formation, glacial position, and stream discharge in response to climate change.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31539.1","usgsCitation":"Levy, J.S., Rittenour, T.M., Fountain, A.G., and O'Connor, J., 2017, Luminescence dating of paleolake deltas and glacial deposits in Garwood Valley, Antarctica: Implications for climate, Ross ice sheet dynamics, and paleolake duration: GSA Bulletin, v. 129, no. 9-10, p. 1071-1084, https://doi.org/10.1130/B31539.1.","productDescription":"14 p.","startPage":"1071","endPage":"1084","ipdsId":"IP-081563","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Garwood Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              162.57810708401985,\n              -77.92420898064601\n            ],\n            [\n              162.57810708401985,\n              -78.2292273580918\n            ],\n            [\n              163.64743653657746,\n              -78.2292273580918\n            ],\n            [\n              163.64743653657746,\n              -77.92420898064601\n            ],\n            [\n              162.57810708401985,\n              -77.92420898064601\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"129","issue":"9-10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-28","publicationStatus":"PW","scienceBaseUri":"5a60fb5be4b06e28e9c22fa5","contributors":{"authors":[{"text":"Levy, Joseph S.","contributorId":201143,"corporation":false,"usgs":false,"family":"Levy","given":"Joseph","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":724427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fountain, Andrew G.","contributorId":10410,"corporation":false,"usgs":false,"family":"Fountain","given":"Andrew","email":"","middleInitial":"G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":724428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":724425,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193047,"text":"70193047 - 2017 - Evaluation of simple geochemical indicators of aeolian sand provenance: Late Quaternary dune fields of North America revisited","interactions":[],"lastModifiedDate":"2017-11-10T19:13:50","indexId":"70193047","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of simple geochemical indicators of aeolian sand provenance: Late Quaternary dune fields of North America revisited","docAbstract":"<p><span>Dune fields of Quaternary age occupy large areas of the world's arid and semiarid regions. Despite this, there has been surprisingly little work done on understanding dune sediment provenance, in part because many techniques are time-consuming, prone to operator error, experimental, highly specialized, expensive, or require sophisticated instrumentation. Provenance of dune sand using K/Rb and K/Ba values in K-feldspar in aeolian sands of the arid and semiarid regions of North America is tested here. Results indicate that K/Rb and K/Ba can distinguish different river sands that are sediment sources for dunes and dune fields themselves have distinctive K/Rb and K/Ba compositions. Over the Basin and Range and Great Plains regions of North America, the hypothesized sediment sources of dune fields are reviewed and assessed using K/Rb and K/Ba values in dune sands and in hypothesized source sediments. In some cases, the origins of dunes assessed in this manner are consistent with previous studies and in others, dune fields are found to have a more complex origin than previously thought. Use of K/Rb and K/Ba for provenance studies is a robust method that is inexpensive, rapid, and highly reproducible. It exploits one of the most common minerals found in dune sand, K-feldspar. The method avoids the problem of using simple concentrations of key elements that may be subject to interpretative bias due to changes in mineralogical maturity of Quaternary dune fields that occur over time.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2017.07.007","usgsCitation":"Muhs, D., 2017, Evaluation of simple geochemical indicators of aeolian sand provenance: Late Quaternary dune fields of North America revisited: Quaternary Science Reviews, v. 171, p. 260-296, https://doi.org/10.1016/j.quascirev.2017.07.007.","productDescription":"37 p.","startPage":"260","endPage":"296","ipdsId":"IP-076149","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":348603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"171","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8c8e4b09af898c860f7","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":717750,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192635,"text":"70192635 - 2017 - Linkages and feedbacks in orogenic systems: An introduction","interactions":[],"lastModifiedDate":"2018-02-12T12:52:12","indexId":"70192635","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Linkages and feedbacks in orogenic systems: An introduction","docAbstract":"<p><span>Orogenic processes operate at scales ranging from the lithosphere to grain-scale, and are inexorably linked. For example, in many orogens, fault and shear zone architecture controls distribution of heat advection along faults and also acts as the primary mechanism for redistribution of heat-producing material. This sets up the thermal structure of the orogen, which in turn controls lithospheric rheology, the nature and distribution of deformation and strain localization, and ultimately, through localized mechanical strengthening and weakening, the fundamental shape of the developing orogenic wedge (</span><a class=\"link link-reveal link-table xref-fig\" data-open=\"ch0_F1\">Fig. 1</a><span>). Strain localization establishes shear zone and fault geometry, and it is the motion on these structures, in conjunction with climate, that often focuses erosional and exhumational processes. This climatic focusing effect can even drive development of asymmetry at the scale of the entire wedge (</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"ch0_r42\">Willett et al., 1993</a><span>).</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Linkages and feedbacks in orogenic systems","language":"English","publisher":"Geological Society of America","doi":"10.1130/2017.1213(00)","usgsCitation":"Thigpen, J.R., Law, R.D., Merschat, A.J., and Stowell, H., 2017, Linkages and feedbacks in orogenic systems: An introduction, chap. <i>of</i> Linkages and feedbacks in orogenic systems, v. 213, p. vii-xv, https://doi.org/10.1130/2017.1213(00).","productDescription":"9 p.","startPage":"vii","endPage":"xv","ipdsId":"IP-086625","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":351477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347522,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.geoscienceworld.org/books/book/1863/chapter/113742424/linkages-and-feedbacks-in-orogenic-systems-an"}],"volume":"213","edition":"213","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3dc","contributors":{"authors":[{"text":"Thigpen, J. Ryan","contributorId":173115,"corporation":false,"usgs":false,"family":"Thigpen","given":"J.","email":"","middleInitial":"Ryan","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":716608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Law, Richard D.","contributorId":198639,"corporation":false,"usgs":false,"family":"Law","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":716609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":716607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stowell, Harold","contributorId":198640,"corporation":false,"usgs":false,"family":"Stowell","given":"Harold","affiliations":[],"preferred":false,"id":716610,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190579,"text":"70190579 - 2017 - Carbon dynamics of river corridors and the effects of human alterations","interactions":[],"lastModifiedDate":"2017-09-08T12:02:44","indexId":"70190579","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dynamics of river corridors and the effects of human alterations","docAbstract":"<p><span>Research in stream metabolism, gas exchange, and sediment dynamics indicates that rivers are an active component of the global carbon cycle and that river form and process can influence partitioning of terrestrially derived carbon among the atmosphere, geosphere, and ocean. Here we develop a conceptual model of carbon dynamics (inputs, outputs, and storage of organic carbon) within a river corridor, which includes the active channel and the riparian zone. The exchange of carbon from the channel to the riparian zone represents potential for storage of transported carbon not included in the “active pipe” model of organic carbon (OC) dynamics in freshwater systems. The active pipe model recognizes that river processes influence carbon dynamics, but focuses on CO</span><sub>2</sub><span><span>&nbsp;</span>emissions from the channel and eventual delivery to the ocean. We also review how human activities directly and indirectly alter carbon dynamics within river corridors. We propose that dams create the most significant alteration of carbon dynamics within a channel, but that alteration of riparian zones, including the reduction of lateral connectivity between the channel and riparian zone, constitutes the most substantial change of carbon dynamics in river corridors. We argue that the morphology and processes of a river corridor regulate the ability to store, transform, and transport OC, and that people are pervasive modifiers of river morphology and processes. The net effect of most human activities, with the notable exception of reservoir construction, appears to be that of reducing the ability of river corridors to store OC within biota and sediment, which effectively converts river corridors to OC sources rather than OC sinks. We conclude by summarizing knowledge gaps in OC dynamics and the implications of our findings for managing OC dynamics within river corridors.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1261","usgsCitation":"Wohl, E., Hall, R., Lininger, K.B., Sutfin, N.A., and Walters, D., 2017, Carbon dynamics of river corridors and the effects of human alterations: Ecological Monographs, v. 87, no. 3, p. 379-409, https://doi.org/10.1002/ecm.1261.","productDescription":"31 p.","startPage":"379","endPage":"409","ipdsId":"IP-073745","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469571,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1406212","text":"Publisher Index Page"},{"id":345582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-22","publicationStatus":"PW","scienceBaseUri":"59b3ac33e4b08b1644d8f1bb","contributors":{"authors":[{"text":"Wohl, Ellen 0000-0001-7435-5013","orcid":"https://orcid.org/0000-0001-7435-5013","contributorId":194945,"corporation":false,"usgs":false,"family":"Wohl","given":"Ellen","affiliations":[],"preferred":false,"id":709887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Robert O. Jr.","contributorId":104182,"corporation":false,"usgs":true,"family":"Hall","given":"Robert O.","suffix":"Jr.","affiliations":[],"preferred":false,"id":709888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lininger, Katherine B. 0000-0003-0378-9505","orcid":"https://orcid.org/0000-0003-0378-9505","contributorId":194946,"corporation":false,"usgs":false,"family":"Lininger","given":"Katherine","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":709889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutfin, Nicholas A.","contributorId":196280,"corporation":false,"usgs":false,"family":"Sutfin","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":709890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, David 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":147135,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":709886,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192636,"text":"70192636 - 2017 - Temporal and spatial distribution of Paleozoic metamorphism in the southern Appalachian Blue Ridge and Inner Piedmont delimited by ion microprobe U-Pb ages of metamorphic zircon","interactions":[],"lastModifiedDate":"2018-03-26T14:19:39","indexId":"70192636","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Temporal and spatial distribution of Paleozoic metamorphism in the southern Appalachian Blue Ridge and Inner Piedmont delimited by ion microprobe U-Pb ages of metamorphic zircon","docAbstract":"<p><span>Ion microprobe U-Pb zircon rim ages from 39 samples from across the accreted terranes of the central Blue Ridge, eastward across the Inner Piedmont, delimit the timing and spatial extent of superposed metamorphism in the southern Appalachian orogen. Metamorphic zircon rims are 10–40 µm wide, mostly unzoned, and dark gray to black or bright white in cathodoluminescence, and truncate and/or embay interior oscillatory zoning. Black unzoned and rounded or ovoid-shaped metamorphic zircon morphologies also occur. Th/U values range from 0.01 to 1.4, with the majority of ratios less than 0.1. Results of&nbsp;</span><sup>206</sup><span>Pb/</span><sup>238</sup><span>U ages, ±2% discordant, range from 481 to 305 Ma. Clustering within these data reveals that the Blue Ridge and Inner Piedmont terranes were affected by three tectonothermal events: (1) 462–448 Ma (Taconic); (2) 395–340 Ma (Acadian and Neoacadian); and (3) 335–322 Ma, related to the early phase of the Alleghanian orogeny. By combining zircon rim ages with metamorphic isograds and other published isotopic ages, we identify the thermal architecture of the southern Appalachian orogen: juxtaposed and superposed metamorphic domains have younger ages to the east related to the marginward addition of terranes, and these domains can serve as a proxy to delimit terrane accretion. Most 462–448 Ma ages occur in the western and central Blue Ridge and define a continuous progression from greenschist to granulite facies that identifies the intact Taconic core. The extent of 462–448 Ma metamorphism indicates that the central Blue Ridge and Tugaloo terranes were accreted to the western Blue Ridge during the Taconic orogeny. Zircon rim ages in the Inner Piedmont span almost 100 m.y., with peaks at 395–385, 376–340, and 335–322 Ma, and delimit the Acadian-Neoacadian and Alleghanian metamorphic core. The timing and distribution of metamorphism in the Inner Piedmont are consistent with the Devonian to Mississippian oblique collision of the Carolina superterrane, followed by an early phase of Alleghanian metamorphism at 335–322 Ma (temperature &gt;500 °C). The eastern Blue Ridge contains evidence of three possible tectonothermal events: ~460 Ma, 376–340 Ma, and ~335 Ma. All of the crystalline terranes of the Blue Ridge–Piedmont megathrust sheet were affected by Alleghanian metamorphism and deformation.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Linkages and feedbacks in orogenic systems","language":"English","publisher":"Geological Society of America","doi":"10.1130/2017.1213(10)","usgsCitation":"Merschat, A.J., Bream, B.R., Huebner, M.T., Hatcher, R., and Miller, C.F., 2017, Temporal and spatial distribution of Paleozoic metamorphism in the southern Appalachian Blue Ridge and Inner Piedmont delimited by ion microprobe U-Pb ages of metamorphic zircon, chap. <i>of</i> Linkages and feedbacks in orogenic systems, v. 213, p. 199-254, https://doi.org/10.1130/2017.1213(10).","productDescription":"56 p.","startPage":"199","endPage":"254","ipdsId":"IP-079608","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":351476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"213","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3da","contributors":{"authors":[{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":716611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bream, Brendan R.","contributorId":198641,"corporation":false,"usgs":false,"family":"Bream","given":"Brendan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huebner, Matthew T.","contributorId":191401,"corporation":false,"usgs":false,"family":"Huebner","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":716614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcher, Robert D.","contributorId":178197,"corporation":false,"usgs":false,"family":"Hatcher","given":"Robert D.","affiliations":[],"preferred":false,"id":716613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Calvin F.","contributorId":198642,"corporation":false,"usgs":false,"family":"Miller","given":"Calvin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":716615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194202,"text":"70194202 - 2017 - Visitor spending effects: assessing and showcasing America's investment in national parks","interactions":[],"lastModifiedDate":"2017-11-17T15:11:54","indexId":"70194202","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2472,"text":"Journal of Sustainable Tourism","active":true,"publicationSubtype":{"id":10}},"title":"Visitor spending effects: assessing and showcasing America's investment in national parks","docAbstract":"<p><span>This paper provides an overview of the evolution, future, and global applicability of the U.S. National Park Service's (NPS) visitor spending effects framework and discusses the methods used to effectively communicate the economic return on investment in America's national parks. The 417 parks represent many of America's most iconic destinations: in 2016, they received a record 331 million visits. Competing federal budgetary demands necessitate that, in addition to meeting their mission to preserve unimpaired natural and cultural resources for the enjoyment of the people, parks also assess and showcase their contributions to the economic vitality of their regions and the nation. Key approaches explained include the original Money Generation Model (MGM) from 1990, MGM2 used from 2001, and the visitor spending effects model which replaced MGM2 in 2012. Detailed discussion explains the NPS's visitor use statistics system, the formal program for collecting, compiling, and reporting visitor use data. The NPS is now establishing a formal socioeconomic monitoring (SEM) program to provide a standard visitor survey instrument and a long-term, systematic sampling design for in-park visitor surveys. The pilot SEM survey is discussed, along with the need for international standardization of research methods.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/09669582.2017.1374600","usgsCitation":"Koontz, L., Cullinane Thomas, C., Ziesler, P., Olson, J., and Meldrum, B., 2017, Visitor spending effects: assessing and showcasing America's investment in national parks: Journal of Sustainable Tourism, v. 25, no. 12, p. 1865-1876, https://doi.org/10.1080/09669582.2017.1374600.","productDescription":"12 p.","startPage":"1865","endPage":"1876","ipdsId":"IP-090089","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":349074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fae","contributors":{"authors":[{"text":"Koontz, Lynne koontzl@usgs.gov","contributorId":2174,"corporation":false,"usgs":false,"family":"Koontz","given":"Lynne","email":"koontzl@usgs.gov","affiliations":[{"id":7016,"text":"Environmental Quality Division, National Park Service, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":722641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":141097,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziesler, Pamela","contributorId":200550,"corporation":false,"usgs":false,"family":"Ziesler","given":"Pamela","email":"","affiliations":[],"preferred":false,"id":722642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olson, Jeffrey","contributorId":200551,"corporation":false,"usgs":false,"family":"Olson","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":722643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meldrum, Bret","contributorId":200552,"corporation":false,"usgs":false,"family":"Meldrum","given":"Bret","email":"","affiliations":[],"preferred":false,"id":722644,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194205,"text":"70194205 - 2017 - Incorporating evolutionary insights to improve ecotoxicology for freshwater species","interactions":[],"lastModifiedDate":"2017-11-17T11:46:31","indexId":"70194205","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating evolutionary insights to improve ecotoxicology for freshwater species","docAbstract":"<p><span>Ecotoxicological studies have provided extensive insights into the lethal and sublethal effects of environmental contaminants. These insights are critical for environmental regulatory frameworks, which rely on knowledge of toxicity for developing policies to manage contaminants. While varied approaches have been applied to ecotoxicological questions, perspectives related to the evolutionary history of focal species or populations have received little consideration. Here, we evaluate chloride toxicity from the perspectives of both macroevolution and contemporary evolution. First, by mapping chloride toxicity values derived from the literature onto a phylogeny of macroinvertebrates, fish, and amphibians, we tested whether macroevolutionary relationships across species and taxa are predictive of chloride tolerance. Next, we conducted chloride exposure tests for two amphibian species to assess whether potential contemporary evolutionary change associated with environmental chloride contamination influences chloride tolerance across local populations. We show that explicitly evaluating both macroevolution and contemporary evolution can provide important and even qualitatively different insights from those obtained via traditional ecotoxicological studies. While macroevolutionary perspectives can help forecast toxicological end points for species with untested sensitivities, contemporary evolutionary perspectives demonstrate the need to consider the environmental context of exposed populations when measuring toxicity. Accounting for divergence among populations of interest can provide more accurate and relevant information related to the sensitivity of populations that may be evolving in response to selection from contaminant exposure. Our data show that approaches accounting for and specifically examining variation among natural populations should become standard practice in ecotoxicology.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eva.12507","usgsCitation":"Brady, S., Richardson, J.L., and Kunz, B.K., 2017, Incorporating evolutionary insights to improve ecotoxicology for freshwater species: Evolutionary Applications, v. 10, no. 8, p. 829-838, https://doi.org/10.1111/eva.12507.","productDescription":"10 p.","startPage":"829","endPage":"838","ipdsId":"IP-083753","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":469550,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12507","text":"Publisher Index Page"},{"id":349067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"8","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-10","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fab","contributors":{"authors":[{"text":"Brady, Steven P.","contributorId":200559,"corporation":false,"usgs":false,"family":"Brady","given":"Steven P.","affiliations":[],"preferred":false,"id":722656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, Jonathan L.","contributorId":200560,"corporation":false,"usgs":false,"family":"Richardson","given":"Jonathan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunz, Bethany K. 0000-0002-7193-9336 bkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-7193-9336","contributorId":3798,"corporation":false,"usgs":true,"family":"Kunz","given":"Bethany","email":"bkunz@usgs.gov","middleInitial":"K.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":722655,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192176,"text":"70192176 - 2017 - Evidence of coupled carbon and iron cycling at a hydrocarbon-contaminated site from time lapse magnetic susceptibility","interactions":[],"lastModifiedDate":"2017-11-06T12:52:24","indexId":"70192176","displayToPublicDate":"2017-09-01T00:00:00","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":"Evidence of coupled carbon and iron cycling at a hydrocarbon-contaminated site from time lapse magnetic susceptibility","docAbstract":"<p><span>Conventional characterization and monitoring of hydrocarbon (HC) pollution is often expensive and time-consuming. Magnetic susceptibility (MS) has been proposed as an inexpensive, long-term monitoring proxy of the degradation of HC. We acquired repeated down hole MS logging data in boreholes at a HC-contaminated field research site in Bemidji, MN, USA. The MS data were analyzed in conjunction with redox conditions and iron availability within the source zone to better assess whether MS can serve as a proxy for monitoring HC contamination in unconsolidated sediments. The MS response at the site diminished during the sampling period, which was found to coincide with depletion of solid phase iron in the source zone. Previous geochemical observations and modeling at the site suggest that the most likely cause of the decrease in MS is the transformation of magnetite to siderite, coupled with the exhaustion of ferrihydrite. Although the temporal MS response at this site gives valuable field-scale evidence for changing conditions of iron cycling and stability of iron minerals it does not provide a simple proxy for long-term monitoring of biodegradation of hydrocarbons in the smear zone.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.7b02155","usgsCitation":"Lund, A.L., Slater, L.D., Atekwana, E.A., Ntarlagiannis, D., Cozzarelli, I.M., and Bekins, B.A., 2017, Evidence of coupled carbon and iron cycling at a hydrocarbon-contaminated site from time lapse magnetic susceptibility: Environmental Science & Technology, v. 51, no. 19, p. 11244-11249, https://doi.org/10.1021/acs.est.7b02155.","productDescription":"6 p.","startPage":"11244","endPage":"11249","ipdsId":"IP-089117","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":438229,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7J67FTF","text":"USGS data release","linkHelpText":"Partial release of iron, alkalinity, and oxygen data from Bemidji crude oil site, Minnesota 1993-2016"},{"id":348272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Bemidji","volume":"51","issue":"19","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-21","publicationStatus":"PW","scienceBaseUri":"5a07e88ae4b09af898c8cb83","contributors":{"authors":[{"text":"Lund, Anders L.","contributorId":197902,"corporation":false,"usgs":false,"family":"Lund","given":"Anders","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee D.","contributorId":197903,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atekwana, Estella A.","contributorId":197904,"corporation":false,"usgs":false,"family":"Atekwana","given":"Estella","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ntarlagiannis, Dimitrios","contributorId":150729,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":714556,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":714557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":714552,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194200,"text":"70194200 - 2017 - Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback","interactions":[],"lastModifiedDate":"2017-11-17T15:17:37","indexId":"70194200","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback","docAbstract":"<p><span>Ongoing climate change poses significant threats to plant function and distribution. Increased temperatures and altered precipitation regimes amplify drought frequency and intensity, elevating plant stress and mortality. Large-scale forest mortality events will have far-reaching impacts on carbon and hydrological cycling, biodiversity, and ecosystem services. However, biogeographical theory and global vegetation models poorly represent recent forest die-off patterns. Furthermore, as trees are sessile and long-lived, their responses to climate extremes are substantially dependent on historical factors. We show that periods of favourable climatic and management conditions that facilitate abundant tree growth can lead to structural overshoot of aboveground tree biomass due to a subsequent temporal mismatch between water demand and availability. When environmental favourability declines, increases in water and temperature stress that are protracted, rapid, or both, drive a gradient of tree structural responses that can modify forest self-thinning relationships. Responses ranging from premature leaf senescence and partial canopy dieback to whole-tree mortality reduce canopy leaf area during the stress period and for a lagged recovery window thereafter. Such temporal mismatches of water requirements from availability can occur at local to regional scales throughout a species geographical range. As climate change projections predict large future fluctuations in both wet and dry conditions, we expect forests to become increasingly structurally mismatched to water availability and thus overbuilt during more stressful episodes. By accounting for the historical context of biomass development, our approach can explain previously problematic aspects of large-scale forest mortality, such as why it can occur throughout the range of a species and yet still be locally highly variable, and why some events seem readily attributable to an ongoing drought while others do not. This refined understanding can facilitate better projections of structural overshoot responses, enabling improved prediction of changes in forest distribution and function from regional to global scales.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13636","usgsCitation":"Jump, A.S., Ruiz-Benito, P., Greenwood, S., Allen, C.D., Kitzberger, T., Fensham, R., Martinez-Vilalta, J., and Lloret, F., 2017, Structural overshoot of tree growth with climate variability and the global spectrum of drought-induced forest dieback: Global Change Biology, v. 23, no. 9, p. 3742-3757, https://doi.org/10.1111/gcb.13636.","productDescription":"16 p.","startPage":"3742","endPage":"3757","ipdsId":"IP-080197","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":461419,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/11336/58501","text":"External Repository"},{"id":349076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb1","contributors":{"authors":[{"text":"Jump, Alistair S.","contributorId":200547,"corporation":false,"usgs":false,"family":"Jump","given":"Alistair","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":722631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruiz-Benito, Paloma","contributorId":200538,"corporation":false,"usgs":false,"family":"Ruiz-Benito","given":"Paloma","email":"","affiliations":[],"preferred":false,"id":722632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenwood, Sarah","contributorId":200537,"corporation":false,"usgs":false,"family":"Greenwood","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":722633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":722630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kitzberger, Thomas","contributorId":181980,"corporation":false,"usgs":false,"family":"Kitzberger","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":722634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fensham, Rod","contributorId":200542,"corporation":false,"usgs":false,"family":"Fensham","given":"Rod","email":"","affiliations":[],"preferred":false,"id":722635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinez-Vilalta, Jordi","contributorId":200548,"corporation":false,"usgs":false,"family":"Martinez-Vilalta","given":"Jordi","email":"","affiliations":[],"preferred":false,"id":722636,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lloret, Francisco","contributorId":181986,"corporation":false,"usgs":false,"family":"Lloret","given":"Francisco","email":"","affiliations":[],"preferred":false,"id":722637,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70195153,"text":"70195153 - 2017 - Soil microbial community composition is correlated to soil carbon processing along a boreal wetland formation gradient","interactions":[],"lastModifiedDate":"2018-02-07T15:33:10","indexId":"70195153","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5619,"text":"European Journal of Soil Biology","active":true,"publicationSubtype":{"id":10}},"title":"Soil microbial community composition is correlated to soil carbon processing along a boreal wetland formation gradient","docAbstract":"<p>Climate change is modifying global biogeochemical cycles. Microbial communities play an integral role in soil biogeochemical cycles; knowledge about microbial composition helps provide a mechanistic understanding of these ecosystem-level phenomena. Next generation sequencing approaches were used to investigate changes in microbial functional groups during ecosystem development, in response to climate change, in northern boreal wetlands. A gradient of wetlands that developed following permafrost degradation was used to characterize changes in the soil microbial communities that mediate C cycling: a bog representing an “undisturbed” system with intact permafrost, and a younger bog and an older bog that formed following the disturbance of permafrost thaw. Reference 16S rRNA databases and several diversity indices were used to assess structural differences among these communities, to assess relationships between soil microbial community composition and various environmental variables including redox potential and pH. Rates of potential CO2 and CH4 gas production were quantified to correlate sequence data with gas flux. The abundance of organic C degraders was highest in the youngest bog, suggesting higher rates of microbial processes, including potential CH4 production. In addition, alpha diversity was also highest in the youngest bog, which seemed to be related to a more neutral pH and a lower redox potential. These results could potentially be driven by increased niche differentiation in anaerobic soils. These results suggest that ecosystem structure, which was largely driven by changes in edaphic and plant community characteristics between the “undisturbed” permafrost bog and the two bogs formed following permafrost thaw, strongly influenced microbial function.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejsobi.2017.08.001","usgsCitation":"Chapman, E., Cadillo-Quiroz, H., Childers, D.L., Turetsky, M.R., and Waldrop, M.P., 2017, Soil microbial community composition is correlated to soil carbon processing along a boreal wetland formation gradient: European Journal of Soil Biology, v. 82, p. 17-26, https://doi.org/10.1016/j.ejsobi.2017.08.001.","productDescription":"10 p.","startPage":"17","endPage":"26","ipdsId":"IP-075502","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469549,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejsobi.2017.08.001","text":"Publisher Index Page"},{"id":351296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e7be4b00f54eb229345","contributors":{"authors":[{"text":"Chapman, Eric","contributorId":201935,"corporation":false,"usgs":false,"family":"Chapman","given":"Eric","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cadillo-Quiroz, Hinsby","contributorId":201936,"corporation":false,"usgs":false,"family":"Cadillo-Quiroz","given":"Hinsby","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childers, Daniel L.","contributorId":201937,"corporation":false,"usgs":false,"family":"Childers","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":727223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":727224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":727220,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197053,"text":"70197053 - 2017 - Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation","interactions":[],"lastModifiedDate":"2018-05-15T15:37:18","indexId":"70197053","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation","docAbstract":"<p><span>Crayfish are ecologically important in freshwater systems worldwide and are imperiled in North America and globally. We sought to examine landscape- to local-scale environmental variables related to occupancy and detection probability of a suite of stream-dwelling crayfish species. We used a quantitative kickseine method to sample crayfish presence at 102 perennial stream sites with eight surveys per site. We modeled occupancy (psi) and detection probability (</span><i class=\"EmphasisTypeItalic \">P</i><span>) and local- and landscape-scale environmental covariates. We developed a set of a priori candidate models for each species and ranked models using (Q)AICc. Detection probabilities and occupancy estimates differed among crayfish species with<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Orconectes eupunctus</i><span>,<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">O. marchandi</i><span>, and<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">Cambarus hubbsi</i><span><span>&nbsp;</span>being relatively rare (psi&nbsp;&lt;&nbsp;0.20) with moderate (0.46–0.60) to high (0.81) detection probability and<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">O. punctimanus</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i class=\"EmphasisTypeItalic \">O. ozarkae</i><span><span>&nbsp;</span>being relatively common (psi&nbsp;&gt;&nbsp;0.60) with high detection probability (0.81). Detection probability was often related to local habitat variables current velocity, depth, or substrate size. Important environmental variables for crayfish occupancy were species dependent but were mainly landscape variables such as stream order, geology, slope, topography, and land use. Landscape variables strongly influenced crayfish occupancy and should be considered in future studies and conservation plans.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-017-3215-2","usgsCitation":"Magoulick, D.D., DiStefano, R.J., Imhoff, E.M., Nolen, M.S., and Wagner, B.K., 2017, Landscape- and local-scale habitat influences on occupancy and detection probability of stream-dwelling crayfish: Implications for conservation: Hydrobiologia, v. 799, no. 1, p. 217-231, https://doi.org/10.1007/s10750-017-3215-2.","productDescription":"15 p.","startPage":"217","endPage":"231","ipdsId":"IP-080483","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Black River","volume":"799","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-29","publicationStatus":"PW","scienceBaseUri":"5afee804e4b0da30c1bfc3c6","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiStefano, Robert J.","contributorId":204893,"corporation":false,"usgs":false,"family":"DiStefano","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":735380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imhoff, Emily M.","contributorId":204894,"corporation":false,"usgs":false,"family":"Imhoff","given":"Emily","email":"","middleInitial":"M.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":735381,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nolen, Matthew S.","contributorId":204895,"corporation":false,"usgs":false,"family":"Nolen","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":16695,"text":"Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":735382,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Brian K.","contributorId":204896,"corporation":false,"usgs":false,"family":"Wagner","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":735383,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193558,"text":"70193558 - 2017 - Book review: Serendipity: An ecologist’s quest to understand nature","interactions":[],"lastModifiedDate":"2017-12-04T10:17:17","indexId":"70193558","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Serendipity: An ecologist’s quest to understand nature","docAbstract":"<p><span>A common thought among graduate students is: “how do established scientists get where they are today?” In&nbsp;</span><i>Serendipity: An Ecologist’s Quest to Understand Nature</i><span>, James Estes offers a personal reflection on research experiences spanning his 50-year career, beginning as a Ph.D. student in 1970 and concluding with recognition as a member of the National Academy of Sciences in 2014. Estes chronologically outlines the foundational trophic cascade ecology research that he and colleagues conducted in the Aleutian Islands, examining key relationships among kelp forests, sea otters, sea urchins, and killer whales through anecdotal stories of achievement and challenge. Estes’ 3 main goals in writing this book are to: (1) recount what he had learned from 50 years of research;...</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyx108","usgsCitation":"Ball, E.E., Adams, D.M., Dupuie, J.N., Jones, M.M., McGovern, P.G., Ruden, R.M., Schmidt, S., Vaziri, G.J., Eeling, J.S., Kirk, B.D., McCombs, A.L., Rabinowitz, A.B., Thompson, K.M., Hudson, Z.J., and Klaver, R.W., 2017, Book review: Serendipity: An ecologist’s quest to understand nature: Journal of Mammalogy, v. 98, no. 5, p. 1509-1510, https://doi.org/10.1093/jmammal/gyx108.","productDescription":"2 p.","startPage":"1509","endPage":"1510","ipdsId":"IP-087773","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyx108","text":"Publisher Index Page"},{"id":349617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fb9","contributors":{"authors":[{"text":"Ball, E. E.","contributorId":201067,"corporation":false,"usgs":false,"family":"Ball","given":"E.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":724250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, D. M.","contributorId":201068,"corporation":false,"usgs":false,"family":"Adams","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dupuie, J. N. Jr.","contributorId":201069,"corporation":false,"usgs":false,"family":"Dupuie","given":"J.","suffix":"Jr.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":724252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, M. M.","contributorId":201070,"corporation":false,"usgs":false,"family":"Jones","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGovern, P. G.","contributorId":201072,"corporation":false,"usgs":false,"family":"McGovern","given":"P.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":724254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruden, R. M.","contributorId":201073,"corporation":false,"usgs":false,"family":"Ruden","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmidt, S.R.","contributorId":73719,"corporation":false,"usgs":true,"family":"Schmidt","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":724256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vaziri, G. J.","contributorId":201074,"corporation":false,"usgs":false,"family":"Vaziri","given":"G.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724257,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eeling, J. S.","contributorId":201075,"corporation":false,"usgs":false,"family":"Eeling","given":"J.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724258,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kirk, B. D.","contributorId":201076,"corporation":false,"usgs":false,"family":"Kirk","given":"B.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":724259,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McCombs, A. L.","contributorId":172523,"corporation":false,"usgs":false,"family":"McCombs","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724260,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rabinowitz, A. B.","contributorId":201077,"corporation":false,"usgs":false,"family":"Rabinowitz","given":"A.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":724261,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Thompson, K. M.","contributorId":201078,"corporation":false,"usgs":false,"family":"Thompson","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724262,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hudson, Z. J.","contributorId":201079,"corporation":false,"usgs":false,"family":"Hudson","given":"Z.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724263,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":724264,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70193567,"text":"70193567 - 2017 - Forestry best management practices relationships with aquatic and riparian fauna: A review","interactions":[],"lastModifiedDate":"2017-11-06T11:21:22","indexId":"70193567","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Forestry best management practices relationships with aquatic and riparian fauna: A review","docAbstract":"<p><span>Forestry best management practices (BMPs) were developed to minimize water pollution from forestry operations by primarily addressing sediment and sediment transport, which is the leading source of pollution from silviculture. Implementation of water quality BMPs may also benefit riparian and aquatic wildlife, although wildlife benefits were not driving forces for BMP development. Therefore, we reviewed literature regarding potential contributions of sediment-reducing BMPs to conservation of riparian and aquatic wildlife, while realizing that BMPs also minimize thermal, nutrient, and chemical pollution. We reached five important conclusions: (1) a significant body of research confirms that forestry BMPs contribute to the protection of water quality and riparian forest structure; (2) data-specific relationships between forestry BMPs and reviewed species are limited; (3) forestry BMPs for forest road construction and maintenance, skid trails, stream crossings, and streamside management zones (SMZs) are important particularly for protection of water quality and aquatic species; (4) stream crossings should be carefully selected and installed to minimize sediment inputs and stream channel alterations; and (5) SMZs promote retention of older-age riparian habitat with benefits extending from water bodies to surrounding uplands. Overall, BMPs developed for protection of water quality should benefit a variety of riparian and aquatic species that are sensitive to changes in water quality or forest structure.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f8090331","usgsCitation":"Warrington, B.M., Aust, W.M., Barrett, S.M., Ford, W.M., Dolloff, C.A., Schilling, E.B., Wigley, T.B., and Bolding, M.C., 2017, Forestry best management practices relationships with aquatic and riparian fauna: A review: Forests, v. 8, no. 9, p. 1-16, https://doi.org/10.3390/f8090331.","productDescription":"Article 331 p.; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-090020","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469572,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8090331","text":"Publisher Index Page"},{"id":348259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-07","publicationStatus":"PW","scienceBaseUri":"5a07e889e4b09af898c8cb7d","contributors":{"authors":[{"text":"Warrington, Brooke M.","contributorId":199538,"corporation":false,"usgs":false,"family":"Warrington","given":"Brooke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aust, W. Michael","contributorId":199539,"corporation":false,"usgs":false,"family":"Aust","given":"W.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":719382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, Scott M.","contributorId":199540,"corporation":false,"usgs":false,"family":"Barrett","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":719383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dolloff, C. Andrew","contributorId":97405,"corporation":false,"usgs":true,"family":"Dolloff","given":"C.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":719384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schilling, Erik B.","contributorId":200017,"corporation":false,"usgs":false,"family":"Schilling","given":"Erik","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":720667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wigley, T. Bently","contributorId":169749,"corporation":false,"usgs":false,"family":"Wigley","given":"T.","email":"","middleInitial":"Bently","affiliations":[],"preferred":false,"id":720668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bolding, M. Chad","contributorId":200018,"corporation":false,"usgs":false,"family":"Bolding","given":"M.","email":"","middleInitial":"Chad","affiliations":[],"preferred":false,"id":720669,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70188428,"text":"70188428 - 2017 - Assessment of forest degradation in Vietnam using Landsat time series data","interactions":[],"lastModifiedDate":"2017-09-18T16:35:26","indexId":"70188428","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of forest degradation in Vietnam using Landsat time series data","docAbstract":"<p><span>Landsat time series data were used to characterize forest degradation in Lam Dong Province, Vietnam. We conducted three types of image change analyses using Landsat time series data to characterize the land cover changes. Our analyses concentrated on the timeframe of 1973–2014, with much emphasis on the latter part of that range. We conducted a field trip through Lam Dong Province to develop a better understanding of the ground conditions of the region, during which we obtained many photographs of representative forest sites with Global Positioning System locations to assist us in our image interpretations. High-resolution Google Earth imagery and Landsat data of the region were used to validate results. In general, our analyses indicated that many land-use changes have occurred throughout Lam Dong Province, including gradual forest to non-forest transitions. Recent changes are most marked along the relatively narrow interfaces between agricultural and forest areas that occur towards the boundaries of the province. One important observation is that the most highly protected national reserves in the region have not changed much over the entire Landsat timeframe (1972–present). Spectral changes within these regions have not occurred at the same levels as those areas adjacent to the reserves.&nbsp;</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f8070238","usgsCitation":"Vogelmann, J., Van Khoa, P., Lan, X., Shermeyer, J.S., Shi, H., Wimberly, M.C., Tat Duong, H., and Van Huong, L., 2017, Assessment of forest degradation in Vietnam using Landsat time series data: Forests, v. 8, no. 7, p. 1-22, https://doi.org/10.3390/f8070238.","productDescription":"Article 238; 22 p.","startPage":"1","endPage":"22","ipdsId":"IP-087749","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8070238","text":"Publisher Index Page"},{"id":345866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Vietnam","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[108.05018,21.55238],[106.71507,20.69685],[105.88168,19.75205],[105.66201,19.05817],[106.42682,18.00412],[107.36195,16.69746],[108.2695,16.07974],[108.87711,15.27669],[109.33527,13.42603],[109.20014,11.66686],[108.36613,11.00832],[107.22093,10.36448],[106.40511,9.53084],[105.15826,8.59976],[104.79519,9.24104],[105.0762,9.91849],[104.33433,10.48654],[105.19991,10.88931],[106.24967,10.96181],[105.81052,11.56761],[107.4914,12.33721],[107.61455,13.53553],[107.38273,14.20244],[107.56453,15.20217],[107.31271,15.90854],[106.55601,16.60428],[105.92576,17.48532],[105.0946,18.66697],[103.89653,19.26518],[104.18339,19.62467],[104.82257,19.88664],[104.435,20.75873],[103.20386,20.76656],[102.7549,21.67514],[102.17044,22.46475],[102.70699,22.7088],[103.50451,22.70376],[104.47686,22.81915],[105.32921,23.35206],[105.81125,22.97689],[106.7254,22.79427],[106.56727,22.2182],[107.04342,21.8119],[108.05018,21.55238]]]},\"properties\":{\"name\":\"Vietnam\"}}]}","volume":"8","issue":"7","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","scienceBaseUri":"59c0db1ee4b091459a5f4733","contributors":{"authors":[{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":697698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Khoa, Phung","contributorId":192766,"corporation":false,"usgs":false,"family":"Van Khoa","given":"Phung","email":"","affiliations":[],"preferred":false,"id":697699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lan, Xuan","contributorId":192767,"corporation":false,"usgs":false,"family":"Lan","given":"Xuan","email":"","affiliations":[],"preferred":false,"id":697700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shermeyer, Jacob S. 0000-0002-8143-2790 jshermeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8143-2790","contributorId":5825,"corporation":false,"usgs":true,"family":"Shermeyer","given":"Jacob","email":"jshermeyer@usgs.gov","middleInitial":"S.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":697701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":192768,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":697702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wimberly, Michael C.","contributorId":167855,"corporation":false,"usgs":false,"family":"Wimberly","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":697703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tat Duong, Hoang","contributorId":192770,"corporation":false,"usgs":false,"family":"Tat Duong","given":"Hoang","email":"","affiliations":[],"preferred":false,"id":697704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Huong, Le","contributorId":192771,"corporation":false,"usgs":false,"family":"Van Huong","given":"Le","email":"","affiliations":[],"preferred":false,"id":697705,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192097,"text":"70192097 - 2017 - Estimating total maximum daily loads with the Stochastic Empirical Loading and Dilution Model","interactions":[],"lastModifiedDate":"2017-10-23T15:35:08","indexId":"70192097","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3647,"text":"Transportation Research Record","active":true,"publicationSubtype":{"id":10}},"title":"Estimating total maximum daily loads with the Stochastic Empirical Loading and Dilution Model","docAbstract":"<p><span>The Massachusetts Department of Transportation (DOT) and the Rhode Island DOT are assessing and addressing roadway contributions to total maximum daily loads (TMDLs). Example analyses for total nitrogen, total phosphorus, suspended sediment, and total zinc in highway runoff were done by the U.S. Geological Survey in cooperation with FHWA to simulate long-term annual loads for TMDL analyses with the stochastic empirical loading and dilution model known as SELDM. Concentration statistics from 19 highway runoff monitoring sites in Massachusetts were used with precipitation statistics from 11 long-term monitoring sites to simulate long-term pavement yields (loads per unit area). Highway sites were stratified by traffic volume or surrounding land use to calculate concentration statistics for rural roads, low-volume highways, high-volume highways, and ultraurban highways. The median of the event mean concentration statistics in each traffic volume category was used to simulate annual yields from pavement for a 29- or 30-year period. Long-term average yields for total nitrogen, phosphorus, and zinc from rural roads are lower than yields from the other categories, but yields of sediment are higher than for the low-volume highways. The average yields of the selected water quality constituents from high-volume highways are 1.35 to 2.52 times the associated yields from low-volume highways. The average yields of the selected constituents from ultraurban highways are 1.52 to 3.46 times the associated yields from high-volume highways. Example simulations indicate that both concentration reduction and flow reduction by structural best management practices are crucial for reducing runoff yields.</span></p>","language":"English","publisher":"National Academies of Sciences, Engineering, and Medicine, Transportation Research Board","doi":"10.3141/2638-12","usgsCitation":"Granato, G.E., and Jones, S.C., 2017, Estimating total maximum daily loads with the Stochastic Empirical Loading and Dilution Model: Transportation Research Record, v. 2638, p. 104-112, https://doi.org/10.3141/2638-12.","productDescription":"9 p.","startPage":"104","endPage":"112","ipdsId":"IP-079012","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":347162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2638","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-01","publicationStatus":"PW","scienceBaseUri":"59eeffa5e4b0220bbd988f79","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":197631,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory","email":"ggranato@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Susan Cheung","contributorId":197755,"corporation":false,"usgs":false,"family":"Jones","given":"Susan","email":"","middleInitial":"Cheung","affiliations":[],"preferred":false,"id":714224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192781,"text":"70192781 - 2017 - A new parameterization for integrated population models to document amphibian reintroductions","interactions":[],"lastModifiedDate":"2017-11-07T13:49:47","indexId":"70192781","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A new parameterization for integrated population models to document amphibian reintroductions","docAbstract":"<p><span>Managers are increasingly implementing reintroduction programs as part of a global effort to alleviate amphibian declines. Given uncertainty in factors affecting populations and a need to make recurring decisions to achieve objectives, adaptive management is a useful component of these efforts. A major impediment to the estimation of demographic rates often used to parameterize and refine decision-support models is that life-stage-specific monitoring data are frequently sparse for amphibians. We developed a new parameterization for integrated population models to match the ecology of amphibians and capitalize on relatively inexpensive monitoring data to document amphibian reintroductions. We evaluate the capability of this model by fitting it to Oregon spotted frog (</span><i>Rana pretiosa</i><span>) monitoring data collected from 2007 to 2014 following their reintroduction within the Klamath Basin, Oregon, USA. The number of egg masses encountered and the estimated adult and metamorph abundances generally increased following reintroduction. We found that survival probability from egg to metamorph ranged from 0.01 in 2008 to 0.09 in 2009 and was not related to minimum spring temperatures, metamorph survival probability ranged from 0.13 in 2010–2011 to 0.86 in 2012–2013 and was positively related to mean monthly temperatures (logit-scale slope&nbsp;=&nbsp;2.37), adult survival probability was lower for founders (0.40) than individuals recruited after reintroduction (0.56), and the mean number of egg masses per adult female was 0.74. Our study is the first to test hypotheses concerning Oregon spotted frog egg-to-metamorph and metamorph-to-adult transition probabilities in the wild and document their response at multiple life stages following reintroduction. Furthermore, we provide an example to illustrate how the structure of our integrated population model serves as a useful foundation for amphibian decision-support models within adaptive management programs. The integration of multiple, but related, data sets has an advantage of being able to estimate complex ecological relationships across multiple life stages, offering a modeling framework that accommodates uncertainty, enforces parsimony, and ensures all model parameters can be confronted with monitoring data.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1564","usgsCitation":"Duarte, A., Pearl, C., Adams, M.J., and Peterson, J., 2017, A new parameterization for integrated population models to document amphibian reintroductions: Ecological Applications, v. 27, no. 6, p. 1761-1775, https://doi.org/10.1002/eap.1564.","productDescription":"15 p.","startPage":"1761","endPage":"1775","ipdsId":"IP-079934","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-07","publicationStatus":"PW","scienceBaseUri":"5a07e88ae4b09af898c8cb81","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":716911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":716910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716909,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193256,"text":"70193256 - 2017 - Landsat-8 TIRS thermal radiometric calibration status","interactions":[],"lastModifiedDate":"2022-04-13T20:29:00.342257","indexId":"70193256","displayToPublicDate":"2017-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Landsat-8 TIRS thermal radiometric calibration status","docAbstract":"<p><span>The Thermal Infrared Sensor (TIRS) instrument is the thermal-band imager on the Landsat-8 platform. The initial onorbit calibration estimates of the two TIRS spectral bands indicated large average radiometric calibration errors, -0.29 and -0.51 W/m</span><sup>2</sup><span><span>&nbsp;</span>sr μm or -2.1K and -4.4K at 300K in Bands 10 and 11, respectively, as well as high variability in the errors, 0.87K and 1.67K (1-σ), respectively. The average error was corrected in operational processing in January 2014, though, this adjustment did not improve the variability. The source of the variability was determined to be stray light from far outside the field of view of the telescope. An algorithm for modeling the stray light effect was developed and implemented in the Landsat-8 processing system in February 2017. The new process has improved the overall calibration of the two TIRS bands, reducing the residual variability in the calibration from 0.87K to 0.51K at 300K for Band 10 and from 1.67K to 0.84K at 300K for Band 11. There are residual average lifetime bias errors in each band: 0.04 W/m</span><sup>2</sup><span><span>&nbsp;</span>sr μm (0.30K) and -0.04 W/m</span><sup>2</sup><span><span>&nbsp;</span>sr μm (-0.29K), for Bands 10 and 11, respectively.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings Volume 10402, Earth Observing Systems XXII","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"SPIE","doi":"10.1117/12.2276045","usgsCitation":"Barsi, J.A., Markham, B.L., Montanaro, M., Gerace, A., Hook, S., Schott, J.R., Raqueno, N.G., and Morfitt, R., 2017, Landsat-8 TIRS thermal radiometric calibration status, <i>in</i> Proceedings Volume 10402, Earth Observing Systems XXII, 11 p., https://doi.org/10.1117/12.2276045.","productDescription":"11 p.","ipdsId":"IP-089775","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":350087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb5ce4b06e28e9c22fc5","contributors":{"authors":[{"text":"Barsi, Julia A.","contributorId":71822,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":718387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markham, Brian L.","contributorId":90482,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","email":"","middleInitial":"L.","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":718388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montanaro, Matthew","contributorId":147004,"corporation":false,"usgs":false,"family":"Montanaro","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":718389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerace, Aaron","contributorId":199173,"corporation":false,"usgs":false,"family":"Gerace","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":718390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hook, Simon","contributorId":150339,"corporation":false,"usgs":false,"family":"Hook","given":"Simon","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":718391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schott, John R.","contributorId":199175,"corporation":false,"usgs":false,"family":"Schott","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":718392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raqueno, Nina G.","contributorId":199176,"corporation":false,"usgs":false,"family":"Raqueno","given":"Nina","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":718393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morfitt, Ron 0000-0002-4777-4877 rmorfitt@usgs.gov","orcid":"https://orcid.org/0000-0002-4777-4877","contributorId":4097,"corporation":false,"usgs":true,"family":"Morfitt","given":"Ron","email":"rmorfitt@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":718386,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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