{"pageNumber":"970","pageRowStart":"24225","pageSize":"25","recordCount":184635,"records":[{"id":70186867,"text":"70186867 - 2017 - Borates, 2016","interactions":[],"lastModifiedDate":"2018-03-28T14:11:22","indexId":"70186867","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Borates, 2016","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for Mining, Metallurgy & Exploration","usgsCitation":"Crangle, R., 2017, Borates, 2016: Mining Engineering, v. 69, no. 7, p. 29-29.","productDescription":"1 p.","startPage":"29","endPage":"29","ipdsId":"IP-086078","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":352861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352860,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=7624&page=29"}],"volume":"69","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee854e4b0da30c1bfc42a","contributors":{"authors":[{"text":"Crangle, Robert Jr. 0000-0002-8120-3760 rcrangle@usgs.gov","orcid":"https://orcid.org/0000-0002-8120-3760","contributorId":141008,"corporation":false,"usgs":true,"family":"Crangle","given":"Robert","suffix":"Jr.","email":"rcrangle@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690733,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70190677,"text":"70190677 - 2017 - Selenium: Mercury molar ratios in freshwater fish in the Columbia River Basin: Potential applications for specific fish consumption advisories","interactions":[],"lastModifiedDate":"2018-08-07T12:43:44","indexId":"70190677","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1024,"text":"Biological Trace Element Research","active":true,"publicationSubtype":{"id":10}},"title":"Selenium: Mercury molar ratios in freshwater fish in the Columbia River Basin: Potential applications for specific fish consumption advisories","docAbstract":"<p><span>Fish provide a valuable source of beneficial nutrients and are an excellent source of low fat protein. However, fish are also the primary source of methylmercury exposure in humans. Selenium often co-occurs with mercury and there is some evidence that selenium can protect against mercury toxicity yet States issue fish consumption advisories based solely on the risks that methylmercury pose to human health. Recently, it has been suggested the selenium: mercury molar ratio be considered in risk management. In order for agencies to utilize the ratio to set consumption guidelines, it is important to evaluate the variability in selenium and mercury in different fish species. We examined 10 different freshwater fish species found within the Columbia River Basin in order to determine the inter- and intra-specific variability in the selenium: mercury molar ratios and the selenium health benefit values. We found significant variation in selenium: mercury molar ratios. The mean molar ratios for each species were all above 1:1, ranging from 3.42:1 in Walleye to 27.2:1 in Chinook salmon. There was a positive correlation between both mercury and selenium with length for each fish species apart from yellow perch and rainbow trout. All species had health benefit values greater than 2. We observed considerable variability in selenium: mercury molar ratios within fish species collected in the Columbia River Basin. Although incorporating selenium: mercury molar ratios into fish consumption holds the potential for refining advisories and assessing the risk of methylmercury exposure, the current understanding of how these ratios apply is insufficient, and further understanding of drivers of variability in the ratios is needed.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12011-016-0907-9","usgsCitation":"Cusack, L.K., Eagles-Smith, C.A., Harding, A.K., Kile, M., and Stone, D., 2017, Selenium: Mercury molar ratios in freshwater fish in the Columbia River Basin: Potential applications for specific fish consumption advisories: Biological Trace Element Research, v. 178, no. 1, p. 136-146, https://doi.org/10.1007/s12011-016-0907-9.","productDescription":"11 p.","startPage":"136","endPage":"146","ipdsId":"IP-081806","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":345642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"178","issue":"1","noUsgsAuthors":false,"publicationDate":"2016-12-08","publicationStatus":"PW","scienceBaseUri":"59b8f21ee4b08b1644e0aee0","contributors":{"authors":[{"text":"Cusack, Leanne K.","contributorId":196356,"corporation":false,"usgs":false,"family":"Cusack","given":"Leanne","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":710141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":710142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harding, Anna K.","contributorId":170035,"corporation":false,"usgs":false,"family":"Harding","given":"Anna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":710143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kile, Molly","contributorId":196357,"corporation":false,"usgs":false,"family":"Kile","given":"Molly","email":"","affiliations":[],"preferred":false,"id":710144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stone, Dave","contributorId":196358,"corporation":false,"usgs":false,"family":"Stone","given":"Dave","email":"","affiliations":[],"preferred":false,"id":710145,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186181,"text":"70186181 - 2017 - Gypsum, 2016","interactions":[],"lastModifiedDate":"2018-03-28T14:09:44","indexId":"70186181","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Gypsum, 2016","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for Mining, Metallurgy & Exploration","usgsCitation":"Crangle, R., 2017, Gypsum, 2016: Mining Engineering, v. 69, no. 7, p. 29-29.","productDescription":"1 p.","startPage":"29","endPage":"29","ipdsId":"IP-085819","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":352859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352858,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=7624&page=29"}],"volume":"69","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee854e4b0da30c1bfc42c","contributors":{"authors":[{"text":"Crangle, Robert Jr. 0000-0002-8120-3760 rcrangle@usgs.gov","orcid":"https://orcid.org/0000-0002-8120-3760","contributorId":141008,"corporation":false,"usgs":true,"family":"Crangle","given":"Robert","suffix":"Jr.","email":"rcrangle@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":687775,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70192087,"text":"70192087 - 2017 - Unique genome organization of non-mammalian papillomaviruses provides insights into the evolution of viral early proteins","interactions":[],"lastModifiedDate":"2018-02-05T10:21:31","indexId":"70192087","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5051,"text":"Virus Evolution","onlineIssn":"2057-1577","active":true,"publicationSubtype":{"id":10}},"title":"Unique genome organization of non-mammalian papillomaviruses provides insights into the evolution of viral early proteins","docAbstract":"<p><span>The family&nbsp;</span><i>Papillomaviridae</i><span><span>&nbsp;</span>contains more than 320 papillomavirus types, with most having been identified as infecting skin and mucosal epithelium in mammalian hosts. To date, only nine non-mammalian papillomaviruses have been described from birds (</span><i>n</i><span> = 5), a fish (</span><i>n</i><span> = 1), a snake (</span><i>n</i><span> = 1), and turtles (</span><i>n</i><span> = 2). The identification of papillomaviruses in sauropsids and a sparid fish suggests that early ancestors of papillomaviruses were already infecting the earliest Euteleostomi. The Euteleostomi clade includes more than 90 per cent of the living vertebrate species, and progeny virus could have been passed on to all members of this clade, inhabiting virtually every habitat on the planet. As part of this study, we isolated a novel papillomavirus from a 16-year-old female Adélie penguin (</span><i>Pygoscelis adeliae</i><span>) from Cape Crozier, Ross Island (Antarctica). The new papillomavirus shares ∼64 per cent genome-wide identity to a previously described Adélie penguin papillomavirus. Phylogenetic analyses show that the non-mammalian viruses (expect the python,<span>&nbsp;</span></span><i>Morelia spilota</i><span>, associated papillomavirus) cluster near the base of the papillomavirus evolutionary tree. A papillomavirus isolated from an avian host (Northern fulmar;<span>&nbsp;</span></span><i>Fulmarus glacialis</i><span>), like the two turtle papillomaviruses, lacks a putative E9 protein that is found in all other avian papillomaviruses. Furthermore, the Northern fulmar papillomavirus has an E7 more similar to the mammalian viruses than the other avian papillomaviruses. Typical E6 proteins of mammalian papillomaviruses have two Zinc finger motifs, whereas the sauropsid papillomaviruses only have one such motif. Furthermore, this motif is absent in the fish papillomavirus. Thus, it is highly likely that the most recent common ancestor of the mammalian and sauropsid papillomaviruses had a single motif E6. It appears that a motif duplication resulted in mammalian papillomaviruses having a double Zinc finger motif in E6. We estimated the divergence time between Northern fulmar-associated papillomavirus and the other Sauropsid papillomaviruses be to around 250 million years ago, during the Paleozoic-Mesozoic transition and our analysis dates the root of the papillomavirus tree between 400 and 600 million years ago. Our analysis shows evidence for niche adaptation and that these non-mammalian viruses have highly divergent E6 and E7 proteins, providing insights into the evolution of the early viral (onco-)proteins.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/ve/vex027","usgsCitation":"Van Doorslaer, K., Ruoppolo, V., Schmidt, A., Lescroel, A., Jongsomjit, D., Elrod, M., Kraberger, S., Stainton, D., Dugger, K.M., Ballard, G., Ainley, D.G., and Varsani, A., 2017, Unique genome organization of non-mammalian papillomaviruses provides insights into the evolution of viral early proteins: Virus Evolution, v. 3, no. 2, Article vex027; 12 p., https://doi.org/10.1093/ve/vex027.","productDescription":"Article vex027; 12 p.","ipdsId":"IP-087793","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469718,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ve/vex027","text":"Publisher Index Page"},{"id":346996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-06","publicationStatus":"PW","scienceBaseUri":"59e9b994e4b05fe04cd65c78","contributors":{"authors":[{"text":"Van Doorslaer, Koenraad","contributorId":197712,"corporation":false,"usgs":false,"family":"Van Doorslaer","given":"Koenraad","email":"","affiliations":[],"preferred":false,"id":714128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruoppolo, Valeria","contributorId":197713,"corporation":false,"usgs":false,"family":"Ruoppolo","given":"Valeria","email":"","affiliations":[],"preferred":false,"id":714149,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Annie","contributorId":197714,"corporation":false,"usgs":false,"family":"Schmidt","given":"Annie","affiliations":[],"preferred":false,"id":714151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lescroel, Amelie","contributorId":197715,"corporation":false,"usgs":false,"family":"Lescroel","given":"Amelie","email":"","affiliations":[],"preferred":false,"id":714152,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jongsomjit, Dennis","contributorId":197716,"corporation":false,"usgs":false,"family":"Jongsomjit","given":"Dennis","email":"","affiliations":[],"preferred":false,"id":714153,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elrod, Megan","contributorId":197717,"corporation":false,"usgs":false,"family":"Elrod","given":"Megan","affiliations":[],"preferred":false,"id":714154,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kraberger, Simona","contributorId":197730,"corporation":false,"usgs":false,"family":"Kraberger","given":"Simona","affiliations":[],"preferred":false,"id":714155,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stainton, Daisy","contributorId":197731,"corporation":false,"usgs":false,"family":"Stainton","given":"Daisy","email":"","affiliations":[],"preferred":false,"id":714156,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":714157,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ballard, Grant","contributorId":197700,"corporation":false,"usgs":false,"family":"Ballard","given":"Grant","email":"","affiliations":[],"preferred":false,"id":714158,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ainley, David G.","contributorId":32039,"corporation":false,"usgs":false,"family":"Ainley","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":34154,"text":"Point Reyes Bird Observatory, Stinson Beach, CA","active":true,"usgs":false}],"preferred":false,"id":714159,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Varsani, Arvind","contributorId":171722,"corporation":false,"usgs":false,"family":"Varsani","given":"Arvind","email":"","affiliations":[],"preferred":false,"id":714160,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70189640,"text":"70189640 - 2017 - Use of eddy-covariance methods to \"calibrate\" simple estimators of evapotranspiration","interactions":[],"lastModifiedDate":"2018-01-10T19:10:23","indexId":"70189640","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Use of eddy-covariance methods to \"calibrate\" simple estimators of evapotranspiration","docAbstract":"<p>Direct measurement of actual evapotranspiration (ET) provides quantification of this large component of the hydrologic budget, but typically requires long periods of record and large instrumentation and labor costs. Simple surrogate methods of estimating ET, if “calibrated” to direct measurements of ET, provide a reliable means to quantify ET. Eddy-covariance measurements of ET were made for 12 years (2004-2015) at an unimproved bahiagrass (Paspalum notatum) pasture in Florida. These measurements were compared to annual rainfall derived from rain gage data and monthly potential ET (PET) obtained from a long-term (since 1995) U.S. Geological Survey (USGS) statewide, 2-kilometer, daily PET product. The annual proportion of ET to rainfall indicates a strong correlation (r<sup>2</sup>=0.86) to annual rainfall; the ratio increases linearly with decreasing rainfall. Monthly ET rates correlated closely (r<sup>2</sup>=0.84) to the USGS PET product. The results indicate that simple surrogate methods of estimating actual ET show positive potential in the humid Florida climate given the ready availability of historical rainfall and PET.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2017 ASABE Annual International Meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"American Society of Agricultural and Biological Engineers","doi":"10.13031/aim.201700912","usgsCitation":"Sumner, D.M., Geurink, J.S., and Swancar, A., 2017, Use of eddy-covariance methods to \"calibrate\" simple estimators of evapotranspiration, <i>in</i> 2017 ASABE Annual International Meeting, https://doi.org/10.13031/aim.201700912.","ipdsId":"IP-086611","costCenters":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"links":[{"id":344051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59706fb5e4b0d1f9f065a880","contributors":{"authors":[{"text":"Sumner, David M. 0000-0002-2144-9304 dmsumner@usgs.gov","orcid":"https://orcid.org/0000-0002-2144-9304","contributorId":1362,"corporation":false,"usgs":true,"family":"Sumner","given":"David","email":"dmsumner@usgs.gov","middleInitial":"M.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":705539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geurink, Jeffrey S. 0000-0002-5354-1172","orcid":"https://orcid.org/0000-0002-5354-1172","contributorId":194870,"corporation":false,"usgs":false,"family":"Geurink","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":705540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swancar, Amy aswancar@usgs.gov","contributorId":176289,"corporation":false,"usgs":true,"family":"Swancar","given":"Amy","email":"aswancar@usgs.gov","affiliations":[{"id":270,"text":"FLWSC-Tampa","active":true,"usgs":true}],"preferred":true,"id":705541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190333,"text":"70190333 - 2017 - Necropsy","interactions":[],"lastModifiedDate":"2017-09-11T14:15:50","indexId":"70190333","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Necropsy","docAbstract":"<p>No abstract available.<br data-mce-bogus=\"1\"></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sea turtle health and rehabilitation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"J. Ross Publishing","isbn":"978-160427-099-0 ","usgsCitation":"Work, T.M., Stacy, B.A., and Flint, M., 2017, Necropsy, chap. 8 <i>of</i> Sea turtle health and rehabilitation.","ipdsId":"IP-082565","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":345185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345157,"type":{"id":15,"text":"Index Page"},"url":"https://www.jrosspub.com/science/sea-turtle-health-and-rehabilitation.html#table_contents"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a52bd4e4b0fa5ae7c74838","contributors":{"editors":[{"text":"Manire, Charles A.","contributorId":20572,"corporation":false,"usgs":false,"family":"Manire","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708527,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Norton, Terry M.","contributorId":71020,"corporation":false,"usgs":true,"family":"Norton","given":"Terry M.","affiliations":[],"preferred":false,"id":708528,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Stacy, Brian A.","contributorId":74698,"corporation":false,"usgs":true,"family":"Stacy","given":"Brian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708529,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Harms, Craig A.","contributorId":59759,"corporation":false,"usgs":false,"family":"Harms","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708530,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Innis, Charles J.","contributorId":117805,"corporation":false,"usgs":false,"family":"Innis","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708531,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":708487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stacy, Brian A","contributorId":195873,"corporation":false,"usgs":false,"family":"Stacy","given":"Brian","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":708488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Mark","contributorId":194368,"corporation":false,"usgs":false,"family":"Flint","given":"Mark","email":"","affiliations":[],"preferred":false,"id":708489,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190334,"text":"70190334 - 2017 - Mortality investigation","interactions":[],"lastModifiedDate":"2017-08-29T09:25:41","indexId":"70190334","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"38","title":"Mortality investigation","docAbstract":"<p>No abstract available.<br data-mce-bogus=\"1\"></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sea turtle health and rehabilitation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"J. Ross Publishing","isbn":"978-160427-099-0","usgsCitation":"Stacy, B., Foley, A.M., Work, T.M., and Norton, T.M., 2017, Mortality investigation, chap. 38 <i>of</i> Sea turtle health and rehabilitation, Chapter 38.","productDescription":"Chapter 38","ipdsId":"IP-071626","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":345186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345165,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.jrosspub.com/science/sea-turtle-health-and-rehabilitation.html"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a52bd4e4b0fa5ae7c74832","contributors":{"editors":[{"text":"Manire, Charles A.","contributorId":20572,"corporation":false,"usgs":false,"family":"Manire","given":"Charles","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708532,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Norton, Terry M.","contributorId":195875,"corporation":false,"usgs":false,"family":"Norton","given":"Terry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":708533,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Stacy, Brian A","contributorId":195873,"corporation":false,"usgs":false,"family":"Stacy","given":"Brian","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":708534,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Harms, Craig A.","contributorId":59759,"corporation":false,"usgs":false,"family":"Harms","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":708535,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Innis, Charles J.","contributorId":117805,"corporation":false,"usgs":false,"family":"Innis","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":708536,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Stacy, Brian","contributorId":174822,"corporation":false,"usgs":false,"family":"Stacy","given":"Brian","affiliations":[],"preferred":false,"id":708491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Allen M.","contributorId":195874,"corporation":false,"usgs":false,"family":"Foley","given":"Allen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":708492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":708490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norton, Terry M.","contributorId":195875,"corporation":false,"usgs":false,"family":"Norton","given":"Terry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":708493,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189783,"text":"70189783 - 2017 - The increasingly complex challenge of gas hydrate reservoir simulation","interactions":[],"lastModifiedDate":"2017-07-26T14:59:59","indexId":"70189783","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The increasingly complex challenge of gas hydrate reservoir simulation","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceeding of the 9th International Conference on Gas Hydrates","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"9th International Conference on Gas Hydrates","conferenceDate":"June 25-30, 2017","conferenceLocation":"Denver, CO","language":"English","usgsCitation":"Boswell, R., Collett, T.S., Myshakin, E., Ajayi, T., and Seol, Y., 2017, The increasingly complex challenge of gas hydrate reservoir simulation, <i>in</i> Proceeding of the 9th International Conference on Gas Hydrates, Denver, CO, June 25-30, 2017, 10 p.","productDescription":"10 p.","ipdsId":"IP-084854","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":344340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344339,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.netl.doe.gov/research/oil-and-gas/methane-hydrates/doe-supported-r-d-at-icgh-2017"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5979aa55e4b0ec1a488b8c04","contributors":{"authors":[{"text":"Boswell, Ray","contributorId":195137,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":706336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":706335,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myshakin, Evshakin","contributorId":195138,"corporation":false,"usgs":false,"family":"Myshakin","given":"Evshakin","email":"","affiliations":[],"preferred":false,"id":706337,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajayi, Taiwo","contributorId":178324,"corporation":false,"usgs":false,"family":"Ajayi","given":"Taiwo","email":"","affiliations":[],"preferred":false,"id":706338,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seol, Yongkoo","contributorId":195139,"corporation":false,"usgs":false,"family":"Seol","given":"Yongkoo","email":"","affiliations":[],"preferred":false,"id":706339,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195361,"text":"70195361 - 2017 - Geomorphology of comet 67P/Churyumov–Gerasimenko","interactions":[],"lastModifiedDate":"2018-02-12T11:10:36","indexId":"70195361","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5624,"text":"Monthly Notices of the Royal Astronomical Society","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphology of comet 67P/Churyumov–Gerasimenko","docAbstract":"<p><span>We present a global geomorphological map of comet 67P/Churyumov–Gerasimenko (67P/C-G) using data acquired by the&nbsp;</span><i>Rosetta</i><span><span>&nbsp;</span>Orbiter’s OSIRIS Narrow Angle Camera. The images used in our study were acquired between 2014 August and 2015 May, before 67P/C-G passed through perihelion. Imagery of the Southern hemisphere was included in our study, allowing us to compare the contrasting hemispheres of 67P/C-G in a single study. Our work also puts into greater context the morphologies studied in previous works, and also the morphologies observed on previously visited cometary nuclei. Relative to other nuclei, 67P/C-G appears most similar to 81P/Wild 2, with a topographically heterogeneous surface dominated by smooth-floored pits. Our mapping describes the landscapes of 67P/C-G when they were first observed by<span>&nbsp;</span></span><i>Rosetta</i><span>, and our map can be used to detect changes in surface morphologies after its perihelion passage. Our mapping reveals strong latitudinal dependences for emplaced units and a highly heterogeneous surface. Layered bedrock units that represent the exposed nucleus of 67P/C-G are dominant at southern latitudes, while topographically smooth, dust covered regions dominate the Northern hemisphere. Equatorial latitudes are dominated by smooth terrain units that show evidence for flow structures. We observe no obvious differences between the comet’s two lobes, with the only longitudinal variations being the Imhotep and Hatmehit basins. These correlations suggest a strong seasonal forcing on the surface evolution of 67P/C-G, where materials are transported from the Southern hemisphere to Northern hemisphere basins over multiple orbital time-scales.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/mnras/stx1096","usgsCitation":"Birch, S.P., Tang, Y., Hayes, A.G., Kirk, R.L., Bodewitz, D., Campins, H., Fernandez, Y., de Freitas Bart, R., Kutsop, N.W., Sierks, H., Soderblom, J.M., Squyres, S.W., and Vincent, J., 2017, Geomorphology of comet 67P/Churyumov–Gerasimenko: Monthly Notices of the Royal Astronomical Society, v. 469, no. Suppl_2, p. S50-S67, https://doi.org/10.1093/mnras/stx1096.","productDescription":"18 p.","startPage":"S50","endPage":"S67","ipdsId":"IP-083959","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469705,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/mnras/stx1096","text":"Publisher Index Page"},{"id":351464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"469","issue":"Suppl_2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-06","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc415","contributors":{"authors":[{"text":"Birch, Samuel P. D.","contributorId":202322,"corporation":false,"usgs":false,"family":"Birch","given":"Samuel","email":"","middleInitial":"P. D.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":728126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tang, Y.","contributorId":202323,"corporation":false,"usgs":false,"family":"Tang","given":"Y.","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":728127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, A. 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,{"id":70195152,"text":"70195152 - 2017 - Microbial survival strategies in ancient permafrost: insights from metagenomics","interactions":[],"lastModifiedDate":"2018-02-07T17:39:35","indexId":"70195152","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3563,"text":"The ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Microbial survival strategies in ancient permafrost: insights from metagenomics","docAbstract":"<p><span>In permafrost (perennially frozen ground) microbes survive oligotrophic conditions, sub-zero temperatures, low water availability and high salinity over millennia. Viable life exists in permafrost tens of thousands of years old but we know little about the metabolic and physiological adaptations to the challenges presented by life in frozen ground over geologic time. In this study we asked whether increasing age and the associated stressors drive adaptive changes in community composition and function. We conducted deep metagenomic and 16 S rRNA gene sequencing across a Pleistocene permafrost chronosequence from 19 000 to 33 000 years before present (kyr). We found that age markedly affected community composition and reduced diversity. Reconstruction of paleovegetation from metagenomic sequence suggests vegetation differences in the paleo record are not responsible for shifts in community composition and function. Rather, we observed shifts consistent with long-term survival strategies in extreme cryogenic environments. These include increased reliance on scavenging detrital biomass, horizontal gene transfer, chemotaxis, dormancy, environmental sensing and stress response. Our results identify traits that may enable survival in ancient cryoenvironments with no influx of energy or new materials.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ismej.2017.93","usgsCitation":"Mackelprang, R., Burkert, A., Haw, M., Mahendrarajah, T., Conaway, C.H., Douglas, T.A., and Waldrop, M.P., 2017, Microbial survival strategies in ancient permafrost: insights from metagenomics: The ISME Journal, v. 11, p. 2305-2318, https://doi.org/10.1038/ismej.2017.93.","productDescription":"14 p.","startPage":"2305","endPage":"2318","ipdsId":"IP-079077","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469704,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ismej.2017.93","text":"Publisher Index Page"},{"id":351313,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"5a7c1e7be4b00f54eb229349","contributors":{"authors":[{"text":"Mackelprang, Rachel","contributorId":200882,"corporation":false,"usgs":false,"family":"Mackelprang","given":"Rachel","email":"","affiliations":[{"id":7080,"text":"California State University, Northridge","active":true,"usgs":false}],"preferred":false,"id":727775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burkert, Alexander","contributorId":201933,"corporation":false,"usgs":false,"family":"Burkert","given":"Alexander","email":"","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":727776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haw, Monica 0000-0001-5847-6448","orcid":"https://orcid.org/0000-0001-5847-6448","contributorId":201931,"corporation":false,"usgs":true,"family":"Haw","given":"Monica","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahendrarajah, Tara","contributorId":201934,"corporation":false,"usgs":false,"family":"Mahendrarajah","given":"Tara","email":"","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":727778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conaway, Christopher H. 0000-0002-0991-033X cconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":5074,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher","email":"cconaway@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":727779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Douglas, Thomas A. 0000-0003-1314-1905","orcid":"https://orcid.org/0000-0003-1314-1905","contributorId":64553,"corporation":false,"usgs":false,"family":"Douglas","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":33087,"text":"Cold Regions Research and Engineering Laboratory","active":true,"usgs":false}],"preferred":true,"id":727780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":727781,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191328,"text":"70191328 - 2017 - Life history migrations of adult Yellowstone Cutthroat Trout in the upper Yellowstone River","interactions":[],"lastModifiedDate":"2017-10-05T14:13:29","indexId":"70191328","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Life history migrations of adult Yellowstone Cutthroat Trout in the upper Yellowstone River","docAbstract":"<p><span>Knowledge of salmonid life history types at the watershed scale is increasingly recognized as a cornerstone for effective management. In this study, we used radiotelemetry to characterize the life history movements of Yellowstone Cutthroat Trout&nbsp;</span><i>Oncorhynchus clarkii bouvieri</i><span><span>&nbsp;</span>in the upper Yellowstone River, an extensive tributary that composes nearly half of the drainage area of Yellowstone Lake. In Yellowstone Lake, Yellowstone Cutthroat Trout have precipitously declined over the past 2 decades primarily due to predation from introduced Lake Trout<span>&nbsp;</span></span><i>Salvelinus namaycush</i><span>. Radio tags were implanted in 152 Yellowstone Cutthroat Trout, and their movements monitored over 3 years. Ninety-six percent of tagged trout exhibited a lacustrine–adfluvial life history, migrating upstream a mean distance of 42.6 km to spawn, spending an average of 24 d in the Yellowstone River before returning to Yellowstone Lake. Once in the lake, complex postspawning movements were observed. Only 4% of radio-tagged trout exhibited a fluvial or fluvial–adfluvial life history. Low prevalence of fluvial and fluvial–adfluvial life histories was unexpected given the large size of the upper river drainage. Study results improve understanding of life history diversity in potamodromous salmonids inhabiting relatively undisturbed watersheds and provide a baseline for monitoring Yellowstone Cutthroat Trout response to management actions in Yellowstone Lake.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2017.1313793","usgsCitation":"Ertel, B.D., McMahon, T., Koel, T., Gresswell, R.E., and Burckhardt, J., 2017, Life history migrations of adult Yellowstone Cutthroat Trout in the upper Yellowstone River: North American Journal of Fisheries Management, v. 37, no. 4, p. 743-755, https://doi.org/10.1080/02755947.2017.1313793.","productDescription":"13 p.","startPage":"743","endPage":"755","ipdsId":"IP-073367","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":469717,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1080/02755947.2017.1313793","text":"External Repository"},{"id":346433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Yellowstone River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.6158447265625,\n              43.51668853502906\n            ],\n            [\n              -108.88000488281249,\n              43.51668853502906\n            ],\n            [\n              -108.88000488281249,\n              44.63739123445585\n            ],\n            [\n              -110.6158447265625,\n              44.63739123445585\n            ],\n            [\n              -110.6158447265625,\n              43.51668853502906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-12","publicationStatus":"PW","scienceBaseUri":"59d744a2e4b05fe04cc7e31c","contributors":{"authors":[{"text":"Ertel, Brian D.","contributorId":181863,"corporation":false,"usgs":false,"family":"Ertel","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":711940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Thomas E.","contributorId":189425,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[],"preferred":false,"id":711941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koel, Todd M.","contributorId":196920,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[],"preferred":false,"id":711942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":147914,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":711939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burckhardt, Jason 0009-0004-1951-4738","orcid":"https://orcid.org/0009-0004-1951-4738","contributorId":196921,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":711943,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192700,"text":"70192700 - 2017 - Seasonal fecundity and costs to λ are more strongly affected by direct than indirect predation effects across species","interactions":[],"lastModifiedDate":"2017-11-08T14:39:26","indexId":"70192700","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal fecundity and costs to λ are more strongly affected by direct than indirect predation effects across species","docAbstract":"<p><span>Increased perceived predation risk can cause behavioral and physiological responses to reduce direct predation mortality, but these responses can also cause demographic costs through reduced reproductive output. Such indirect costs of predation risk have received increased attention in recent years, but the relative importance of direct vs. indirect predation costs to population growth (λ) across species remains unclear. We measured direct nest predation rates as well as indirect benefits (i.e., reduced predation rates) and costs (i.e., decreased reproductive output) arising from parental responses to perceived offspring predation risk for 10 songbird species breeding along natural gradients in nest predation risk. We show that reductions in seasonal fecundity from behavioral responses to perceived predation risk represent significant demographic costs for six of the 10 species. However, demographic costs from these indirect predation effects on seasonal fecundity comprised only 12% of cumulative predation costs averaged across species. In contrast, costs from direct predation mortality comprised 88% of cumulative predation costs averaged across species. Demographic costs from direct offspring predation were relatively more important for species with higher within-season residual-reproductive value (i.e., multiple-brooded species) than for species with lower residual-reproductive value (i.e., single-brooded species). Costs from indirect predation effects were significant across single- but not multiple-brooded species. Ultimately, demographic costs from behavioral responses to offspring predation risk differed among species as a function of their life-history strategies. Yet direct predation mortality generally wielded a stronger influence than indirect effects on seasonal fecundity and projected λ across species.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1860","usgsCitation":"LaManna, J.A., and Martin, T.E., 2017, Seasonal fecundity and costs to λ are more strongly affected by direct than indirect predation effects across species: Ecology, v. 98, no. 7, p. 1829-1838, https://doi.org/10.1002/ecy.1860.","productDescription":"10 p.","startPage":"1829","endPage":"1838","ipdsId":"IP-075836","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","volume":"98","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-08","publicationStatus":"PW","scienceBaseUri":"5a0425b6e4b0dc0b45b45344","contributors":{"authors":[{"text":"LaManna, Joseph A.","contributorId":171738,"corporation":false,"usgs":false,"family":"LaManna","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716734,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195555,"text":"70195555 - 2017 - Physical response of a back-barrier estuary to a post-tropical cyclone","interactions":[],"lastModifiedDate":"2018-02-23T11:20:34","indexId":"70195555","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Physical response of a back-barrier estuary to a post-tropical cyclone","docAbstract":"<p><span>This paper presents a modeling investigation of the hydrodynamic and sediment transport response of Chincoteague Bay (VA/MD, USA) to Hurricane Sandy using the Coupled Ocean-Atmosphere-Wave-Sediment-Transport (COAWST) modeling system. Several simulation scenarios with different combinations of remote and local forces were conducted to identify the dominant physical processes. While 80% of the water level increase in the bay was due to coastal sea level at the peak of the storm, a rich spatial and temporal variability in water surface slope was induced by local winds and waves. Local wind increased vertical mixing, horizontal exchanges, and flushing through the inlets. Remote waves (swell) enhanced southward flow through wave setup gradients between the inlets, and increased locally generated wave heights. Locally generated waves had a negligible effect on water level but reduced the residual flow up to 70% due to enhanced apparent roughness and breaking-induced forces. Locally generated waves dominated bed shear stress and sediment resuspension in the bay. Sediment transport patterns mirrored the interior coastline shape and generated deposition on inundated areas. The bay served as a source of fine sediment to the inner shelf, and the ocean-facing barrier island accumulated sand from landward-directed overwash. Despite the intensity of the storm forcing, the bathymetric changes in the bay were on the order of centimeters. This work demonstrates the spectrum of responses to storm forcing, and highlights the importance of local and remote processes on back-barrier estuarine function.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016JC012344","usgsCitation":"Beudin, A., Ganju, N.K., Defne, Z., and Aretxabaleta, A., 2017, Physical response of a back-barrier estuary to a post-tropical cyclone: Journal of Geophysical Research C: Oceans, v. 122, no. 7, p. 5888-5904, https://doi.org/10.1002/2016JC012344.","productDescription":"17 p.","startPage":"5888","endPage":"5904","ipdsId":"IP-079338","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469715,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jc012344","text":"Publisher Index Page"},{"id":351883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chincoteague Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.5,\n              37.85\n            ],\n            [\n              -75.1,\n              37.85\n            ],\n            [\n              -75.1,\n              38.3\n            ],\n            [\n              -75.5,\n              38.3\n            ],\n            [\n              -75.5,\n              37.85\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"7","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-27","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc413","contributors":{"authors":[{"text":"Beudin, Alexis 0000-0001-9525-9450 abeudin@usgs.gov","orcid":"https://orcid.org/0000-0001-9525-9450","contributorId":5751,"corporation":false,"usgs":true,"family":"Beudin","given":"Alexis","email":"abeudin@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":729263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil Kamal 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":192273,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil","email":"nganju@usgs.gov","middleInitial":"Kamal","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":729264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":729265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":729266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194547,"text":"70194547 - 2017 - 10Be dating of late Pleistocene megafloods and Cordilleran Ice Sheet retreat in the northwestern United States","interactions":[],"lastModifiedDate":"2017-12-05T11:12:45","indexId":"70194547","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<sup>10</sup>Be dating of late Pleistocene megafloods and Cordilleran Ice Sheet retreat in the northwestern United States","title":"10Be dating of late Pleistocene megafloods and Cordilleran Ice Sheet retreat in the northwestern United States","docAbstract":"<p><span>During the late Pleistocene, multiple floods from drainage of glacial Lake Missoula further eroded a vast anastomosing network of bedrock channels, coulees, and cataracts, forming the Channeled Scabland of eastern Washington State (United States). However, the timing and exact pathways of these Missoula floods remain poorly constrained, thereby limiting our understanding of the evolution of this spectacular landscape. Here we report cosmogenic&nbsp;</span><sup>10</sup><span>Be ages that directly date flood and glacial features important to understanding the flood history, the evolution of the Channeled Scabland, and relationships to the Cordilleran Ice Sheet (CIS). One of the largest floods occurred at 18.2 ± 1.5 ka, flowing down the northwestern Columbia River valley prior to blockage of this route by advance of the Okanogan lobe of the CIS, which dammed glacial Lake Columbia and diverted later Missoula floods to more eastern routes through the Channeled Scabland. The Okanogan and Purcell Trench lobes of the CIS began to retreat from their maximum extent at ca. 15.5 ka, likely in response to onset of surface warming of the northeastern Pacific Ocean. Upper Grand Coulee fully opened as a flood route after 15.6 ± 1.3 ka, becoming the primary path for later Missoula floods until the last ones from glacial Lake Missoula at 14.7 ± 1.2 ka. The youngest dated flood(s) (14.0 ± 1.4 ka to 14.4 ± 1.3 ka) came down the northwestern Columbia River valley and were likely from glacial Lake Columbia, indicating that the lake persisted for a few centuries after the last Missoula flood.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G38956.1","usgsCitation":"Balbas, A.M., Barth, A.M., Clark, P.U., Clark, J., Caffee, M.A., O'Connor, J., Baker, V.R., Konrad, K., and Bjornstad, B., 2017, 10Be dating of late Pleistocene megafloods and Cordilleran Ice Sheet retreat in the northwestern United States: Geology, v. 45, no. 7, p. 583-586, https://doi.org/10.1130/G38956.1.","productDescription":"4 p.","startPage":"583","endPage":"586","ipdsId":"IP-083290","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121,\n              45.72152152227954\n            ],\n            [\n              -115,\n              45.72152152227954\n            ],\n            [\n              -115,\n              48.30512072140391\n            ],\n            [\n              -121,\n              48.30512072140391\n            ],\n            [\n              -121,\n              45.72152152227954\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"45","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-08","publicationStatus":"PW","scienceBaseUri":"5a60fb8de4b06e28e9c23270","contributors":{"authors":[{"text":"Balbas, Andrea M.","contributorId":201138,"corporation":false,"usgs":false,"family":"Balbas","given":"Andrea","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724417,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barth, Aaron M.","contributorId":201139,"corporation":false,"usgs":false,"family":"Barth","given":"Aaron","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clark, Peter U.","contributorId":178026,"corporation":false,"usgs":false,"family":"Clark","given":"Peter","email":"","middleInitial":"U.","affiliations":[],"preferred":false,"id":724419,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Jorie","contributorId":201140,"corporation":false,"usgs":false,"family":"Clark","given":"Jorie","email":"","affiliations":[],"preferred":false,"id":724420,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caffee, Marc A.","contributorId":36048,"corporation":false,"usgs":false,"family":"Caffee","given":"Marc","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724421,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":724416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, Victor R.","contributorId":201141,"corporation":false,"usgs":false,"family":"Baker","given":"Victor","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724422,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Konrad, Kevin","contributorId":167397,"corporation":false,"usgs":false,"family":"Konrad","given":"Kevin","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":724423,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bjornstad, Bruce","contributorId":201142,"corporation":false,"usgs":false,"family":"Bjornstad","given":"Bruce","email":"","affiliations":[],"preferred":false,"id":724424,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70194501,"text":"70194501 - 2017 - Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications","interactions":[],"lastModifiedDate":"2018-03-29T15:54:42","indexId":"70194501","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications","docAbstract":"<p><span>Groundwater flow advects heat, and thus, the deviation of subsurface temperatures from an expected conduction‐dominated regime can be analysed to estimate vertical water fluxes. A number of analytical approaches have been proposed for using heat as a groundwater tracer, and these have typically assumed a homogeneous medium. However, heterogeneous thermal properties are ubiquitous in subsurface environments, both at the scale of geologic strata and at finer scales in streambeds. Herein, we apply the analytical solution of Shan and Bodvarsson (2004), developed for estimating vertical water fluxes in layered systems, in 2 new environments distinct from previous vadose zone applications. The utility of the solution for studying groundwater‐surface water exchange is demonstrated using temperature</span><span>&nbsp;data collected from an upwelling streambed with sediment layers, and a simple sensitivity analysis using these data indicates the solution is relatively robust. Also, a deeper temperature profile recorded in a borehole in South Australia is analysed to estimate deeper water fluxes. The analytical solution is able to match observed thermal gradients, including the change in slope at sediment interfaces. Results indicate that not accounting for layering can yield errors in the magnitude and even direction of the inferred Darcy fluxes. A simple automated spreadsheet tool (Flux‐LM) is presented to allow users to input temperature and layer data and solve the inverse problem to estimate groundwater flux rates from shallow (e.g., &lt;1&nbsp;m) or deep (e.g., up to 100&nbsp;m) profiles. The solution is not transient, and thus, it should be cautiously applied where diel signals propagate or in deeper zones where multi‐decadal surface signals have disturbed subsurface thermal regimes.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.11216","usgsCitation":"Kurylyk, B.L., Irvine, D.J., Carey, S.K., Briggs, M.A., Werkema, D.D., and Bonham, M., 2017, Heat as a groundwater tracer in shallow and deep heterogeneous media: Analytical solution, spreadsheet tool, and field applications: Hydrological Processes, v. 31, no. 14, p. 2648-2661, https://doi.org/10.1002/hyp.11216.","productDescription":"14 p.","startPage":"2648","endPage":"2661","ipdsId":"IP-083382","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":469721,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6260938","text":"External Repository"},{"id":438279,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NZ85VG","text":"USGS data release","linkHelpText":"Streambed temperature data for the manuscript: Heat as a hydrologic tracer in shallow and deep heterogeneous media: analytical solution, spreadsheet tool, and field applications"},{"id":352969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"14","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc417","contributors":{"authors":[{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Dylan J.","contributorId":190404,"corporation":false,"usgs":false,"family":"Irvine","given":"Dylan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carey, Sean K.","contributorId":201022,"corporation":false,"usgs":false,"family":"Carey","given":"Sean","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":724121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":724118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":724122,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bonham, Mariah","contributorId":199839,"corporation":false,"usgs":false,"family":"Bonham","given":"Mariah","email":"","affiliations":[],"preferred":false,"id":724123,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194179,"text":"70194179 - 2017 - A proposal for amending administrative law to facilitate adaptive management","interactions":[],"lastModifiedDate":"2017-11-16T14:04:35","indexId":"70194179","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"A proposal for amending administrative law to facilitate adaptive management","docAbstract":"<p><span>In this article we examine how federal agencies use adaptive management. In order for federal agencies to implement adaptive management more successfully, administrative law must adapt to adaptive management, and we propose changes in administrative law that will help to steer the current process out of a dead end. Adaptive management is a form of structured decision making that is widely used in natural resources management. It involves specific steps integrated in an iterative process for adjusting management actions as new information becomes available. Theoretical requirements for adaptive management notwithstanding, federal agency decision making is subject to the requirements of the federal Administrative Procedure Act, and state agencies are subject to the states' parallel statutes. We argue that conventional administrative law has unnecessarily shackled effective use of adaptive management. We show that through a specialized 'adaptive management track' of administrative procedures, the core values of administrative law—especially public participation, judicial review, and finality— can be implemented in ways that allow for more effective adaptive management. We present and explain draft model legislation (the Model Adaptive Management Procedure Act) that would create such a track for the specific types of agency decision making that could benefit from adaptive management.</span></p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/aa7037","usgsCitation":"Craig, R.K., Ruhl, J., Brown, E., and Williams, B., 2017, A proposal for amending administrative law to facilitate adaptive management: Environmental Research Letters, v. 12, p. 1-17, https://doi.org/10.1088/1748-9326/aa7037.","productDescription":"Article 074018; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-083121","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":469778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aa7037","text":"Publisher Index Page"},{"id":349009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-10","publicationStatus":"PW","scienceBaseUri":"5a60fb8ee4b06e28e9c2327c","contributors":{"authors":[{"text":"Craig, Robin K.","contributorId":200492,"corporation":false,"usgs":false,"family":"Craig","given":"Robin","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruhl, J.B.","contributorId":200493,"corporation":false,"usgs":false,"family":"Ruhl","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":722495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Ellie 0000-0001-7798-830X ebrown@usgs.gov","orcid":"https://orcid.org/0000-0001-7798-830X","contributorId":200491,"corporation":false,"usgs":true,"family":"Brown","given":"Ellie","email":"ebrown@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":722493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Byron K.","contributorId":139564,"corporation":false,"usgs":false,"family":"Williams","given":"Byron K.","affiliations":[{"id":12801,"text":"The Wildlife Society","active":true,"usgs":false}],"preferred":false,"id":722496,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194211,"text":"70194211 - 2017 - Glacierized headwater streams as aquifer recharge corridors, subarctic Alaska","interactions":[],"lastModifiedDate":"2017-11-17T15:10:22","indexId":"70194211","displayToPublicDate":"2017-07-01T00:00:00","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":"Glacierized headwater streams as aquifer recharge corridors, subarctic Alaska","docAbstract":"<p><span>Arctic river discharge has increased in recent decades although sources and mechanisms remain debated. Abundant literature documents permafrost thaw and mountain glacier shrinkage over the past decades. Here we link glacier runoff to aquifer recharge via a losing headwater stream in subarctic Interior Alaska. Field measurements in Jarvis Creek (634&nbsp;km</span><sup>2</sup><span>), a subbasin of the Tanana and Yukon Rivers, show glacier meltwater runoff as a large component (15–28%) of total annual streamflow despite low glacier cover (3%). About half of annual headwater streamflow is lost to the aquifer (38 to 56%). The estimated long-term change in glacier-derived aquifer recharge exceeds the observed increase in Tanana River base flow. Our findings suggest a linkage between glacier wastage, aquifer recharge along the headwater stream corridor, and lowland winter discharge. Accordingly, glacierized headwater streambeds may serve as major aquifer recharge zones in semiarid climates and therefore contributing to year-round base flow of lowland rivers.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL073834","usgsCitation":"Lilledahl, A.K., Gadeke, A., O’Neel, S., Gatesman, T.A., and Douglas, T.A., 2017, Glacierized headwater streams as aquifer recharge corridors, subarctic Alaska: Geophysical Research Letters, v. 44, no. 13, p. 6876-6885, https://doi.org/10.1002/2017GL073834.","productDescription":"10 p.","startPage":"6876","endPage":"6885","ipdsId":"IP-076195","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":469713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl073834","text":"Publisher Index Page"},{"id":349073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153,\n              62\n            ],\n            [\n              -141,\n              62\n            ],\n            [\n              -141,\n              65\n            ],\n            [\n              -153,\n              65\n            ],\n            [\n              -153,\n              62\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"13","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-15","publicationStatus":"PW","scienceBaseUri":"5a60fb8ee4b06e28e9c23277","contributors":{"authors":[{"text":"Lilledahl, Anna K.","contributorId":200576,"corporation":false,"usgs":false,"family":"Lilledahl","given":"Anna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gadeke, Anne","contributorId":191059,"corporation":false,"usgs":false,"family":"Gadeke","given":"Anne","email":"","affiliations":[],"preferred":false,"id":722685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":722684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gatesman, T. A.","contributorId":200577,"corporation":false,"usgs":false,"family":"Gatesman","given":"T.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douglas, T. A.","contributorId":200579,"corporation":false,"usgs":false,"family":"Douglas","given":"T.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":722688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189497,"text":"70189497 - 2017 - Intra-reach headwater fish assemblage structure","interactions":[],"lastModifiedDate":"2017-07-13T16:18:05","indexId":"70189497","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5462,"text":"The Open Ecology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Intra-reach headwater fish assemblage structure","docAbstract":"<p><span>Large-scale conservation efforts can take advantage of modern large databases and regional modeling and assessment methods. However, these broad-scale efforts often assume uniform average habitat conditions and/or species assemblages within stream reaches.</span></p>","language":"English","publisher":"Bentham Open","doi":"10.2174/1874213001710010001","usgsCitation":"McKenna, J., 2017, Intra-reach headwater fish assemblage structure: The Open Ecology Journal, v. 10, no. 1, p. 1-12, https://doi.org/10.2174/1874213001710010001.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-078892","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2174/1874213001710010001","text":"Publisher Index Page"},{"id":343826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5968869be4b0d1f9f05f5960","contributors":{"authors":[{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":704911,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70191426,"text":"70191426 - 2017 - Nitrogenase activity by biological soil crusts in cold sagebrush steppe ecosystems","interactions":[],"lastModifiedDate":"2017-10-11T14:24:08","indexId":"70191426","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogenase activity by biological soil crusts in cold sagebrush steppe ecosystems","docAbstract":"<p><span>In drylands worldwide, biological soil crusts (BSC) form a thin photosynthetic cover across landscapes, and provide vital benefits in terms of stabilizing soil and fixing nitrogen (N) and carbon (C). Numerous studies have examined the effects of climate and disturbance on BSC functions; however, few have characterized these responses in rolling BSCs typical of northern ecosystems in the Intermountain West, US. With temperature increases and shifts in precipitation projected, it is unclear how BSCs in this region will respond to climate change, and how the response could affect their capacity to perform key ecosystem functions, such as providing ‘new’ N through biological N</span><sub>2</sub><span><span>&nbsp;</span>fixation. To address this important knowledge gap, we examined nitrogenase activity (NA) associated with rolling BSCs along a climatic gradient in southwestern Idaho, US, and quantified how acetylene reduction rates changed as a function of climate, grazing (using exclosures), and shrub-canopy association. Results show that warmer, drier climates at lower elevations hosted greater cover of late successional BSC communities (e.g., mosses and lichens), and higher NA compared with colder, wetter climates at higher elevations. Highest NA (0.5–29.3&nbsp;µmol C</span><sub>2</sub><span>H</span><sub>4</sub><span><span>&nbsp;</span>m</span><sup>−2</sup><span><span>&nbsp;</span>h</span><sup>−1</sup><span>) occurred during the early summer/spring, when water was more available than in late summer/autumn. Activity was strongly associated with soil characteristics including pH and ammonium concentrations suggesting these characteristics as potentially strong controls on NA in BSCs. The relationship between grazing and NA varied with elevation. Specifically, lower elevation sites had lower NA at grazed locations, whereas higher elevation sites had higher NA with grazing. At both low and high ends of the elevation gradient, shrub-canopy associated BSCs maintained two to three times higher NA compared to BSCs in the interspace among shrubs. Taken together, our findings indicate that the controls and rates of NA in BSCs vary seasonally and strongly with climate in the Intermountain West, and that drier springs are likely to influence rates of NA more than warmer summers.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-017-0342-9","usgsCitation":"Schwabedissen, S.G., Lohse, K.A., Reed, S.C., Aho, K.A., and Magnuson, T.S., 2017, Nitrogenase activity by biological soil crusts in cold sagebrush steppe ecosystems: Biogeochemistry, v. 134, no. 1-2, p. 57-76, https://doi.org/10.1007/s10533-017-0342-9.","productDescription":"20 p.","startPage":"57","endPage":"76","ipdsId":"IP-076032","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":346511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":" Reynolds Creek Experimental Watershed","volume":"134","issue":"1-2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-19","publicationStatus":"PW","scienceBaseUri":"59defbefe4b05fe04ccd3d54","contributors":{"authors":[{"text":"Schwabedissen, Stacy G.","contributorId":196994,"corporation":false,"usgs":false,"family":"Schwabedissen","given":"Stacy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":712206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lohse, Kathleen A. 0000-0003-1779-6773","orcid":"https://orcid.org/0000-0003-1779-6773","contributorId":196995,"corporation":false,"usgs":false,"family":"Lohse","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":712205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aho, Ken A.","contributorId":196997,"corporation":false,"usgs":false,"family":"Aho","given":"Ken","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":712209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magnuson, Timothy S.","contributorId":196996,"corporation":false,"usgs":false,"family":"Magnuson","given":"Timothy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":712208,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193526,"text":"70193526 - 2017 - Population dynamics of brown trout (Salmo trutta) in Spruce Creek Pennsylvania: A quarter-century perspective","interactions":[],"lastModifiedDate":"2017-11-14T14:17:27","indexId":"70193526","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Population dynamics of brown trout (<i>Salmo trutta</i>) in Spruce Creek Pennsylvania: A quarter-century perspective","title":"Population dynamics of brown trout (Salmo trutta) in Spruce Creek Pennsylvania: A quarter-century perspective","docAbstract":"<ol id=\"fwb12932-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>We examined the relationship between density-independent and density-dependent factors on the demography of a dense, relatively unexploited population of brown trout in Spruce Creek Pennsylvania between 1985 and 2011.</li><li>Individual PCAs of flow and temperature data elucidated groups of years with multiple high flow versus multiple low flow characteristics and high versus low temperature years, although subtler patterns of variation also were observed.</li><li>Density and biomass displayed similar temporal patterns, ranging from 710&nbsp;to 1,803&nbsp;trout/ha and 76–263&nbsp;kg/ha. We detected a significantly negative linear stock-recruitment relationship (<i>R</i><sup>2</sup>&nbsp;=&nbsp;.39) and there was no evidence that flow or water temperature affected recruitment.</li><li>Both annual survival and the per-capita rate of increase (<i>r</i>) for the population varied over the study, and density-dependent mechanisms possessed the greatest explanatory power for annual survival data. Temporal trends in population r suggested it displayed a bounded equilibrium with increases observed in 12&nbsp;years and decreases detected in 13&nbsp;years.</li><li>Model selection analysis of per-capita rate of increase data for age 1, and adults (<i>N</i>&nbsp;=&nbsp;eight interpretable models) indicated that both density-dependent (five of eight) and negative density-independent processes (five of eight, i.e. high flows or temperatures), affected<span>&nbsp;</span><i>r</i>. Recruitment limitation also was identified in three of eight models. Variation in the per-capita rate of increase for the population was most strongly affected by positive density independence in the form of increasing spring–summer temperatures and recruitment limitation.</li><li>Model selection analyses describing annual variation in both mean length and mass data yielded similar results, although maximum<span>&nbsp;</span><i>w</i><sub><i>i</i></sub><span>&nbsp;</span>values were low ranging from 0.09 to 0.23 (length) and 0.13 to 0.22 (mass). Density-dependence was included in 15 of 15 interpretable models for length and all ten interpretable models for mass. Similarly, positive density-independent effects in the form of increasing autumn–winter flow were present in seven of 15 interpretable models for length and five of ten interpretable models for mass. Negative density independent effects also were observed in the form of high spring–summer flows or temperatures (<i>N</i>&nbsp;=&nbsp;4), or high autumn–winter temperatures (<i>N</i>&nbsp;=&nbsp;1).</li><li>Our analyses of the factors affecting population regulation in an introduced population of brown trout demonstrate that density-dependent forces affected every important demographic characteristic (recruitment, survivorship, the rate of increase, and size) within this population. However, density-independent forces in the form of seasonal variations in flow and temperature also helped explain annual variation in the per-capita rate of increase, and mean length and mass data. Consequently, population regulation within this population is driven by a complex of biotic and environmental factors, although it seems clear that density-dependent factors play a dominant role.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12932","usgsCitation":"Grossman, G.D., Carline, R.F., and Wagner, T., 2017, Population dynamics of brown trout (Salmo trutta) in Spruce Creek Pennsylvania: A quarter-century perspective: Freshwater Biology, v. 62, no. 7, p. 1143-1154, https://doi.org/10.1111/fwb.12932.","productDescription":"12 p.","startPage":"1143","endPage":"1154","ipdsId":"IP-082555","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Spruce Creek","volume":"62","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"5a60fb8ee4b06e28e9c23280","contributors":{"authors":[{"text":"Grossman, Gary D.","contributorId":14106,"corporation":false,"usgs":true,"family":"Grossman","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":722061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carline, Robert F.","contributorId":102442,"corporation":false,"usgs":true,"family":"Carline","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":722062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191078,"text":"70191078 - 2017 - Short-term ecological consequences of collaborative restoration treatments in ponderosa pine forests of Colorado","interactions":[],"lastModifiedDate":"2017-09-25T11:38:59","indexId":"70191078","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Short-term ecological consequences of collaborative restoration treatments in ponderosa pine forests of Colorado","docAbstract":"<p><span>Ecological restoration treatments are being implemented at an increasing rate in ponderosa pine and other dry conifer forests across the western United States, via the USDA Forest Service’s Collaborative Forest Landscape Restoration (CFLR) program. In this program, collaborative stakeholder groups work with National Forests (NFs) to adaptively implement and monitor ecological restoration treatments intended to offset the effects of many decades of anthropogenic stressors. We initiated a novel study to expand the scope of treatment effectiveness monitoring efforts in one of the first CFLR landscapes, Colorado’s Front Range. We used a Before/After/Control/Impact framework to evaluate the short-term consequences of treatments on numerous ecological properties. We collected pre-treatment and one year post-treatment data on NF and partner agencies’ lands, in 66 plots distributed across seven treatment units and nearby untreated areas. Our results reflected progress toward several treatment objectives: treated areas had lower tree density and basal area, greater openness, no increase in exotic understory plants, no decrease in native understory plants, and no decrease in use by tree squirrels and ungulates. However, some findings suggested the need for adaptive modification of both treatment prescriptions and monitoring protocols: treatments did not promote heterogeneity of stand structure, and monitoring methods may not have been robust enough to detect changes in surface fuels. Our study highlights both the effective aspects of these restoration treatments, and the importance of initiating and continuing collaborative science-based monitoring to improve the outcomes of broad-scale forest restoration efforts.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.03.008","collaboration":"Paula Fornwalt; Jonas Feinstein","usgsCitation":"Briggs, J.S., Fornwalt, P.J., and Feinstein, J.A., 2017, Short-term ecological consequences of collaborative restoration treatments in ponderosa pine forests of Colorado: Forest Ecology and Management, v. 395, p. 69-80, https://doi.org/10.1016/j.foreco.2017.03.008.","productDescription":"12 p.","startPage":"69","endPage":"80","ipdsId":"IP-079089","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2017.03.008","text":"Publisher Index Page"},{"id":346044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","volume":"395","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15ade4b017cf314041c3","contributors":{"authors":[{"text":"Briggs, Jenny S. 0000-0001-7454-6928 jsbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-7454-6928","contributorId":3087,"corporation":false,"usgs":true,"family":"Briggs","given":"Jenny","email":"jsbriggs@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":711089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fornwalt, Paula J.","contributorId":196676,"corporation":false,"usgs":false,"family":"Fornwalt","given":"Paula","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feinstein, Jonas A.","contributorId":196677,"corporation":false,"usgs":false,"family":"Feinstein","given":"Jonas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711091,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191873,"text":"70191873 - 2017 - An “EAR” on environmental surveillance and monitoring: A case study on the use of Exposure–Activity Ratios (EARs) to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters","interactions":[],"lastModifiedDate":"2017-10-18T15:17:45","indexId":"70191873","displayToPublicDate":"2017-07-01T00:00:00","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":"An “EAR” on environmental surveillance and monitoring: A case study on the use of Exposure–Activity Ratios (EARs) to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters","docAbstract":"<p><span>Current environmental monitoring approaches focus primarily on chemical occurrence. However, based on concentration alone, it can be difficult to identify which compounds may be of toxicological concern and should be prioritized for further monitoring, in-depth testing, or management. This can be problematic because toxicological characterization is lacking for many emerging contaminants. New sources of high-throughput screening (HTS) data, such as the ToxCast database, which contains information for over 9000 compounds screened through up to 1100 bioassays, are now available. Integrated analysis of chemical occurrence data with HTS data offers new opportunities to prioritize chemicals, sites, or biological effects for further investigation based on concentrations detected in the environment linked to relative potencies in pathway-based bioassays. As a case study, chemical occurrence data from a 2012 study in the Great Lakes Basin along with the ToxCast effects database were used to calculate exposure–activity ratios (EARs) as a prioritization tool. Technical considerations of data processing and use of the ToxCast database are presented and discussed. EAR prioritization identified multiple sites, biological pathways, and chemicals that warrant further investigation. Prioritized bioactivities from the EAR analysis were linked to discrete adverse outcome pathways to identify potential adverse outcomes and biomarkers for use in subsequent monitoring efforts.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.7b01613","usgsCitation":"Blackwell, B., Ankley, G., Corsi, S., DeCicco, L.A., Houck, K., Judson, R.S., Li, S., Martin, M.T., Murphy, E., Schroeder, A.L., Smith, E., Swintek, J., and Villeneuve, D.L., 2017, An “EAR” on environmental surveillance and monitoring: A case study on the use of Exposure–Activity Ratios (EARs) to prioritize sites, chemicals, and bioactivities of concern in Great Lakes waters: Environmental Science & Technology, v. 51, no. 15, p. 8713-8724, https://doi.org/10.1021/acs.est.7b01613.","productDescription":"12 p.","startPage":"8713","endPage":"8724","ipdsId":"IP-088064","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":469709,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6132252","text":"External Repository"},{"id":346899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"51","issue":"15","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-18","publicationStatus":"PW","scienceBaseUri":"59e86835e4b05fe04cd4d1f0","contributors":{"authors":[{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":713482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ankley, Gerald T.","contributorId":177970,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald T.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":713483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeCicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":174716,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":713484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houck, Kieth A.","contributorId":197428,"corporation":false,"usgs":false,"family":"Houck","given":"Kieth A.","affiliations":[],"preferred":false,"id":713485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Judson, Richard S.","contributorId":197429,"corporation":false,"usgs":false,"family":"Judson","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713486,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Shibin","contributorId":197430,"corporation":false,"usgs":false,"family":"Li","given":"Shibin","email":"","affiliations":[],"preferred":false,"id":713487,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martin, Matthew T.","contributorId":197431,"corporation":false,"usgs":false,"family":"Martin","given":"Matthew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":713488,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Elizabeth","contributorId":197432,"corporation":false,"usgs":false,"family":"Murphy","given":"Elizabeth","affiliations":[],"preferred":false,"id":713489,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schroeder, Anthony L.","contributorId":173596,"corporation":false,"usgs":false,"family":"Schroeder","given":"Anthony","email":"","middleInitial":"L.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false},{"id":12503,"text":"University of Minnesota - Saint Paul","active":true,"usgs":false}],"preferred":false,"id":713490,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smith, Edwin R.","contributorId":197434,"corporation":false,"usgs":false,"family":"Smith","given":"Edwin R.","affiliations":[],"preferred":false,"id":713491,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Swintek, Joe","contributorId":197435,"corporation":false,"usgs":false,"family":"Swintek","given":"Joe","email":"","affiliations":[],"preferred":false,"id":713492,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Villeneuve, Daniel L.","contributorId":32091,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":713493,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70196235,"text":"70196235 - 2017 - Autonomous acoustic recorders reveal complex patterns in avian detection probability","interactions":[],"lastModifiedDate":"2018-03-27T16:20:59","indexId":"70196235","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Autonomous acoustic recorders reveal complex patterns in avian detection probability","docAbstract":"<p><span>Avian point‐count surveys are typically designed to occur during periods when birds are consistently active and singing, but seasonal and diurnal patterns of detection probability are often not well understood and may vary regionally or between years. We deployed autonomous acoustic recorders to assess how avian availability for detection (i.e., the probability that a bird signals its presence during a recording) varied during the breeding season with time of day, date, and weather‐related variables at multiple subarctic tundra sites in Alaska, USA, 2013–2014. A single observer processed 2,692 10‐minute recordings across 11 site‐years. We used time‐removal methods to assess availability and used generalized additive models to examine patterns of detectability (joint probability of presence, availability, and detection) for 16 common species. Despite lack of distinct dawn or dusk, most species displayed circadian vocalization patterns, with detection rates generally peaking between 0800 hours and 1200 hours but remaining high as late as 2000 hours for some species. Between 2200 hours and 0500 hours, most species’ detection rates dropped to near 0, signaling a distinctive rest period. Detectability dropped sharply for most species in early July. For all species considered, time‐removal analysis indicated nearly 100% likelihood of detection during a 10‐minute recording conducted in June, between 0500 hours and 2000 hours. This indicates that non‐detections during appropriate survey times and dates were attributable to the species’ absence or that silent birds were unlikely to initiate singing during a 10‐minute interval, whereas vocally active birds were singing very frequently. Systematic recordings revealed a gradient of species’ presence at each site, from ubiquitous to incidental. Although the total number of species detected at a site ranged from 16 to 27, we detected only 4 to 15 species on ≥5% of the site's recordings. Recordings provided an unusually detailed and consistent dataset that allowed us to identify, among other things, appropriate survey dates and times for species breeding at northern latitudes. Our results also indicated that more recordings of shorter duration (1–4 min) may be most efficient for detecting passerines.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21285","usgsCitation":"Thompson, S.J., Handel, C.M., and McNew, L.B., 2017, Autonomous acoustic recorders reveal complex patterns in avian detection probability: Journal of Wildlife Management, v. 81, no. 7, p. 1228-1241, https://doi.org/10.1002/jwmg.21285.","productDescription":"14 p.","startPage":"1228","endPage":"1241","ipdsId":"IP-078782","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":461465,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/14475","text":"External Repository"},{"id":438277,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B856KG","text":"USGS data release","linkHelpText":"Audio Recording Device Data for Assessing Avian Detectability, Seward Peninsula, Alaska, 2013-2014"},{"id":352803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-07","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc40f","contributors":{"authors":[{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":731788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":731789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNew, Lance B. lmcnew@usgs.gov","contributorId":5086,"corporation":false,"usgs":true,"family":"McNew","given":"Lance","email":"lmcnew@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":731804,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196229,"text":"70196229 - 2017 - Genetic assessment of the effects of streamscape succession on coho salmon Oncorhynchus kisutch colonization in recently deglaciated streams","interactions":[],"lastModifiedDate":"2018-08-19T10:06:42","indexId":"70196229","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic assessment of the effects of streamscape succession on coho salmon <i>Oncorhynchus kisutch</i> colonization in recently deglaciated streams","title":"Genetic assessment of the effects of streamscape succession on coho salmon Oncorhynchus kisutch colonization in recently deglaciated streams","docAbstract":"<p><span>Measures of genetic diversity within and among populations and historical geomorphological data on stream landscapes were used in model simulations based on approximate Bayesian computation (ABC) to examine hypotheses of the relative importance of stream features (geomorphology and age) associated with colonization events and gene flow for coho salmon&nbsp;</span><i>Oncorhynchus kisutch</i><span><span>&nbsp;</span>breeding in recently deglaciated streams (50–240 years<span>&nbsp;</span></span><span class=\"smallCaps\">b.p</span><span>.) in Glacier Bay National Park (GBNP), Alaska. Population estimates of genetic diversity including heterozygosity and allelic richness declined significantly and monotonically from the oldest and largest to youngest and smallest GBNP streams. Interpopulation variance in allele frequency increased with increasing distance between streams (</span><i>r</i><span><span>&nbsp;</span>= 0·435,<span>&nbsp;</span></span><i>P</i><span><span>&nbsp;</span>&lt; 0·01) and was inversely related to stream age (</span><i>r</i><span><span>&nbsp;</span>= –0·281,<span>&nbsp;</span></span><i>P</i><span><span>&nbsp;</span>&lt; 0·01). The most supported model of colonization involved ongoing or recent (&lt;10 generations before sampling) colonization originating from large populations outside Glacier Bay proper into all other GBNP streams sampled. Results here show that sustained gene flow from large source populations is important to recently established<span>&nbsp;</span></span><i>O. kisutch</i><span><span>&nbsp;</span>metapopulations. Studies that document how genetic and demographic characteristics of newly founded populations vary associated with successional changes in stream habitat are of particular importance to and have significant implications for, restoration of declining or repatriation of extirpated populations in other regions of the species' native range.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.13337","usgsCitation":"Scribner, K.T., Soiseth, C., McGuire, J.J., Sage, G.K., Thorsteinson, L.K., Nielsen, J.L., and Knudsen, E., 2017, Genetic assessment of the effects of streamscape succession on coho salmon Oncorhynchus kisutch colonization in recently deglaciated streams: Journal of Fish Biology, v. 91, no. 1, p. 195-218, https://doi.org/10.1111/jfb.13337.","productDescription":"24 p.","startPage":"195","endPage":"218","ipdsId":"IP-074390","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":438278,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7V98657","text":"USGS data release","linkHelpText":"Coho Salmon (Oncorhynchus kisutch) Genetic Data, Glacier Bay National Park, Alaska (1994-1999)"},{"id":353006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -137.24395751953125,\n              58.33545085930665\n            ],\n            [\n              -135.3570556640625,\n              58.33545085930665\n            ],\n            [\n              -135.3570556640625,\n              59.08714961054985\n            ],\n            [\n              -137.24395751953125,\n              59.08714961054985\n            ],\n            [\n              -137.24395751953125,\n              58.33545085930665\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-19","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc411","contributors":{"authors":[{"text":"Scribner, Kim T.","contributorId":146113,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","email":"","middleInitial":"T.","affiliations":[{"id":16582,"text":"Department of Fisheries and Wildlife and Department of Zoology, 480 Wilson Rd. 13 Natural Resources Building, Michigan State University, East Lansing, MI 48824","active":true,"usgs":false},{"id":135,"text":"Biological Resources Division","active":false,"usgs":true}],"preferred":false,"id":731759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soiseth, Chad","contributorId":179804,"corporation":false,"usgs":false,"family":"Soiseth","given":"Chad","email":"","affiliations":[],"preferred":false,"id":731760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166 jmcguire@whoi.edu","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":177447,"corporation":false,"usgs":false,"family":"McGuire","given":"Jeffrey","email":"jmcguire@whoi.edu","middleInitial":"J.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":731761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sage, G. Kevin 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":4348,"corporation":false,"usgs":true,"family":"Sage","given":"G.","email":"ksage@usgs.gov","middleInitial":"Kevin","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":731762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorsteinson, Lyman K. lthorsteinson@usgs.gov","contributorId":3000,"corporation":false,"usgs":true,"family":"Thorsteinson","given":"Lyman","email":"lthorsteinson@usgs.gov","middleInitial":"K.","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":731765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nielsen, J. L.","contributorId":203548,"corporation":false,"usgs":false,"family":"Nielsen","given":"J.","email":"","middleInitial":"L.","affiliations":[{"id":27774,"text":"formerly with USGS","active":true,"usgs":false}],"preferred":false,"id":731763,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knudsen, E.","contributorId":98264,"corporation":false,"usgs":true,"family":"Knudsen","given":"E.","affiliations":[],"preferred":false,"id":731764,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193448,"text":"70193448 - 2017 - A new species of freshwater eel-tailed catfish of the genus Tandanus (Teleostei: Plotosidae) from coastal rivers of mid-northern New South Wales, Australia","interactions":[],"lastModifiedDate":"2017-11-10T17:56:07","indexId":"70193448","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"A new species of freshwater eel-tailed catfish of the genus Tandanus (Teleostei: Plotosidae) from coastal rivers of mid-northern New South Wales, Australia","docAbstract":"<p><i>Tandanus bellingerensis</i><span>, new species, is described based on specimens from four river drainages (Bellinger, Macleay, Hastings, and Manning rivers) of the mid-northern coast of New South Wales, Australia. Previously, three species were recognized in the genus<span>&nbsp;</span></span><i>Tandanus</i><span>:<span>&nbsp;</span></span><i>T. tropicanus</i><span><span>&nbsp;</span>of the wet tropics region of northeast Queensland,<span>&nbsp;</span></span><i>T. tandanus</i><span><span>&nbsp;</span>of the Murray-Darling drainage and coastal streams of central-southern Queensland and New South Wales, and<span>&nbsp;</span></span><i>T. bostocki</i><span><span>&nbsp;</span>of southwestern Western Australia. The new species is distinguished from all congeners by a combination of the following morphologic characters: a high count of rays in the continuous caudodorsal and anal fins (range 153–169, mode 159), a high count of gill rakers on the first arch (range 35–39, mode 36), and strongly recurved posterior serrae of the pectoral-fin spine. Additionally, results from previously conducted genetic studies corroborate morphologic and taxonomic distinctness of the new species.</span></p>","language":"English","publisher":"The American Society of Ichthyologists and Herpetologists","doi":"10.1643/CI-16-547","usgsCitation":"Welsh, S., Jerry, D.R., Burrows, D., and Rourke, M.L., 2017, A new species of freshwater eel-tailed catfish of the genus Tandanus (Teleostei: Plotosidae) from coastal rivers of mid-northern New South Wales, Australia: Copeia, v. 105, no. 2, p. 229-236, https://doi.org/10.1643/CI-16-547.","productDescription":"8 p.","startPage":"229","endPage":"236","ipdsId":"IP-079377","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","state":"New South Wales","volume":"105","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cce4b09af898c86114","contributors":{"authors":[{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jerry, Dean R.","contributorId":171885,"corporation":false,"usgs":false,"family":"Jerry","given":"Dean","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burrows, Damien","contributorId":150475,"corporation":false,"usgs":false,"family":"Burrows","given":"Damien","email":"","affiliations":[],"preferred":false,"id":721634,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rourke, Meaghan L.","contributorId":200255,"corporation":false,"usgs":false,"family":"Rourke","given":"Meaghan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721635,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}