{"pageNumber":"160","pageRowStart":"3975","pageSize":"25","recordCount":10458,"records":[{"id":70132330,"text":"70132330 - 2013 - Regulation of a putative corticosteroid, 17, 21-dihydroxypregn-4-ene, 3, 20-one, in sea lamprey, Petromyzon marinus","interactions":[],"lastModifiedDate":"2020-12-29T13:02:46.568812","indexId":"70132330","displayToPublicDate":"2013-11-25T10:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Regulation of a putative corticosteroid, 17, 21-dihydroxypregn-4-ene, 3, 20-one, in sea lamprey, Petromyzon marinus","docAbstract":"<p>In higher vertebrates, in response to stress, the hypothalamus produces corticotropin-releasing hormone (CRH), which stimulates cells in the anterior pituitary to produce adrenocorticotropic hormone (ACTH), which in turn stimulates production of either cortisol (F) or corticosterone (B) by the adrenal tissues. In lampreys, however, neither of these steroids is present. Instead, it has been proposed that the stress steroid is actually 17,21-dihydroxypregn-4-ene-3,20-dione (11-deoxycortisol; S). However, there have been no studies yet to determine its mechanism of regulation or site of production. Here we demonstrate that (1) intraperitoneal injections of lamprey-CRH increase plasma S in a dose dependent manner, (2) intraperitoneal injections of four lamprey-specific ACTH peptides at 100 lg/kg, did not induce changes in plasma S concentrations in either males or females; (3) two lamprey-specific gonadotropin-releasing hormones (GnRH I and III) and arginine-vasotocin (AVT), all at single doses, stimulated S production as well as, or to an even greater extent than CRH; (4) sea lamprey mesonephric kidneys, in vitro, converted tritiated 17a-hydroxyprogesterone (17a-P) into a steroid that had the same chromatographic properties (on HPLC and TLC) as S; (5) kidney tissues released significantly more immunoassayable S into the incubation medium than gill, liver or gonad tissues. One interpretation of these results is that the corticosteroid production of the sea lamprey, one of the oldest extant vertebrates, is regulated through multiple pathways rather than the classical HPI-axis. However, the responsiveness of this steroid to the GnRH peptides means that a reproductive rather than a stress role for this steroid cannot yet be ruled out.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2013.11.008","usgsCitation":"Roberts, B.W., Didier, W., Rai, S., Johnson, N.S., Libants, S.V., Yun, S., and Close, D., 2013, Regulation of a putative corticosteroid, 17, 21-dihydroxypregn-4-ene, 3, 20-one, in sea lamprey, Petromyzon marinus: General and Comparative Endocrinology, v. 196, p. 17-25, https://doi.org/10.1016/j.ygcen.2013.11.008.","productDescription":"8 p.","startPage":"17","endPage":"25","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052492","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":381649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"196","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d636e4b04d4b7dbd6646","contributors":{"authors":[{"text":"Roberts, Brent W.","contributorId":126749,"corporation":false,"usgs":false,"family":"Roberts","given":"Brent","email":"","middleInitial":"W.","affiliations":[{"id":6591,"text":"Department of Zoology, The University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":522781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Didier, Wes","contributorId":126750,"corporation":false,"usgs":false,"family":"Didier","given":"Wes","email":"","affiliations":[{"id":6591,"text":"Department of Zoology, The University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":522782,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rai, Satbir","contributorId":126751,"corporation":false,"usgs":false,"family":"Rai","given":"Satbir","email":"","affiliations":[{"id":6591,"text":"Department of Zoology, The University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":807306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":522780,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Libants, Scot V.","contributorId":126752,"corporation":false,"usgs":false,"family":"Libants","given":"Scot","email":"","middleInitial":"V.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yun, Sang-Seon","contributorId":126753,"corporation":false,"usgs":false,"family":"Yun","given":"Sang-Seon","affiliations":[{"id":6592,"text":"Fisheries Centre, The University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":807307,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Close, David","contributorId":126754,"corporation":false,"usgs":false,"family":"Close","given":"David","affiliations":[{"id":6592,"text":"Fisheries Centre, The University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":522786,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70056317,"text":"70056317 - 2013 - Hyporheic zone denitrification: controls on effective reaction depth and contribution to whole-stream mass balance","interactions":[],"lastModifiedDate":"2013-12-02T10:42:25","indexId":"70056317","displayToPublicDate":"2013-11-19T14:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hyporheic zone denitrification: controls on effective reaction depth and contribution to whole-stream mass balance","docAbstract":"Stream denitrification is thought to be enhanced by hyporheic transport but there is little direct evidence from the field. To demonstrate at a field site, we injected <sup>15</sup>NO<sub>3</sub><sup>−</sup>, Br (conservative tracer), and SF<sub>6</sub> (gas exchange tracer) and compared measured whole-stream denitrification with in situ hyporheic denitrification in shallow and deeper flow paths of contrasting geomorphic units. Hyporheic denitrification accounted for between 1 and 200% of whole-stream denitrification. The reaction rate constant was positively related to hyporheic exchange rate (greater substrate delivery), concentrations of substrates DOC and nitrate, microbial denitrifier abundance (nirS), and measures of granular surface area and presence of anoxic microzones. The dimensionless product of the reaction rate constant and hyporheic residence time, λ<sub>hz</sub>τ<sub>hz</sub> define a Damköhler number, Da<sub>den-hz</sub> that was optimal in the subset of hyporheic flow paths where Da<sub>den-hz</sub> ≈ 1. Optimal conditions exclude inefficient deep pathways transport where substrates are used up and also exclude inefficient shallow pathways that require repeated hyporheic entries and exits to complete the reaction. The whole-stream reaction significance, R<sub>s</sub> (dimensionless), was quantified by multiplying Da<sub>den-hz</sub> by the proportion of stream discharge passing through the hyporheic zone. Together these two dimensionless metrics, one flow-path scale and the other reach-scale, quantify the whole-stream significance of hyporheic denitrification. One consequence is that the effective zone of significant denitrification often differs from the full depth of the hyporheic zone, which is one reason why whole-stream denitrification rates have not previously been explained based on total hyporheic-zone metrics such as hyporheic-zone size or residence time.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/wrcr.20492","usgsCitation":"Harvey, J.W., Böhlke, J., Voytek, M.A., Scott, D., and Tobias, C., 2013, Hyporheic zone denitrification: controls on effective reaction depth and contribution to whole-stream mass balance: Water Resources Research, v. 49, no. 10, p. 6298-6316, https://doi.org/10.1002/wrcr.20492.","productDescription":"19 p.","startPage":"6298","endPage":"6316","numberOfPages":"19","ipdsId":"IP-050807","costCenters":[{"id":628,"text":"Water Resources Discipline","active":false,"usgs":true}],"links":[{"id":473442,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20492","text":"Publisher Index Page"},{"id":279189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279166,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20492"}],"country":"United States","state":"Indiana","otherGeospatial":"Sugar Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.5718,39.8423 ], [ -88.5718,41.2654 ], [ -86.2482,41.2654 ], [ -86.2482,39.8423 ], [ -88.5718,39.8423 ] ] ] } } ] }","volume":"49","issue":"10","noUsgsAuthors":false,"publicationDate":"2013-10-07","publicationStatus":"PW","scienceBaseUri":"528c888ce4b0c629af44a96e","contributors":{"authors":[{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Böhlke, John Karl 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":22843,"corporation":false,"usgs":true,"family":"Böhlke","given":"John Karl","affiliations":[],"preferred":false,"id":486524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":486527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scott, Durelle","contributorId":62513,"corporation":false,"usgs":true,"family":"Scott","given":"Durelle","affiliations":[],"preferred":false,"id":486526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tobias, Craig R.","contributorId":23410,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig R.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":486525,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70056319,"text":"70056319 - 2013 - Obligate brood parasites show more functionally effective innate immune responses: an eco-immunological hypothesis","interactions":[],"lastModifiedDate":"2013-11-19T13:18:17","indexId":"70056319","displayToPublicDate":"2013-11-19T13:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1602,"text":"Evolutionary Biology","active":true,"publicationSubtype":{"id":10}},"title":"Obligate brood parasites show more functionally effective innate immune responses: an eco-immunological hypothesis","docAbstract":"Immune adaptations of obligate brood parasites attracted interest when three New World cowbird species (Passeriformes, Icteridae, genus Molothrus) proved unusually resistant to West Nile virus. We have used cowbirds as models to investigate the eco-immunological hypothesis that species in parasite-rich environments characteristically have enhanced immunity as a life history adaptation. As part of an ongoing program to understand the cowbird immune system, in this study we measured degranulation and oxidative burst, two fundamental responses of the innate immune system. Innate immunity provides non-specific, fast-acting defenses against a variety of invading pathogens, and we hypothesized that innate immunity experiences particularly strong selection in cowbirds, because their life history strategy exposes them to diverse novel and unpredictable parasites. We compared the relative effectiveness of degranulation and oxidative burst responses in two cowbird species and one related, non-parasitic species. Both innate immune defenses were significantly more functionally efficient in the two parasitic cowbird species than in the non-parasitic red-winged blackbird (Icteridae, Agelaius phoeniceus). Additionally, both immune defenses were more functionally efficient in the brown-headed cowbird (M. ater), an extreme host-generalist brood parasite, than in the bronzed cowbird (M. aeneus), a moderate host-specialist with lower exposure to other species and their parasites. Thus the relative effectiveness of these two innate immune responses corresponds to the diversity of parasites in the niche of each species and to their relative resistance to WNV. This study is the first use of these two specialized assays in a comparative immunology study of wild avian species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Evolutionary Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11692-013-9231-x","usgsCitation":"Hahn, D., Summers, S.G., Genovese, K.J., He, H., and Kogut, M.H., 2013, Obligate brood parasites show more functionally effective innate immune responses: an eco-immunological hypothesis: Evolutionary Biology, v. 40, no. 4, p. 554-561, https://doi.org/10.1007/s11692-013-9231-x.","productDescription":"8 p.","startPage":"554","endPage":"561","numberOfPages":"8","ipdsId":"IP-043917","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":279182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279171,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11692-013-9231-x"}],"volume":"40","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-04-16","publicationStatus":"PW","scienceBaseUri":"528c888de4b0c629af44a974","contributors":{"authors":[{"text":"Hahn, D. Caldwell 0000-0002-5242-2059","orcid":"https://orcid.org/0000-0002-5242-2059","contributorId":26055,"corporation":false,"usgs":true,"family":"Hahn","given":"D. Caldwell","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":486528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Summers, Scott G.","contributorId":45612,"corporation":false,"usgs":true,"family":"Summers","given":"Scott","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":486530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Genovese, Kenneth J.","contributorId":45613,"corporation":false,"usgs":true,"family":"Genovese","given":"Kenneth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":486531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"He, Haiqi","contributorId":31289,"corporation":false,"usgs":true,"family":"He","given":"Haiqi","email":"","affiliations":[],"preferred":false,"id":486529,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kogut, Michael H.","contributorId":98203,"corporation":false,"usgs":true,"family":"Kogut","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":486532,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70056175,"text":"70056175 - 2013 - Paleomagnetic contributions to the Klamath Mountains terrane puzzle-a new piece from the Ironside Mountain batholith, northern California","interactions":[],"lastModifiedDate":"2023-05-26T16:13:12.725475","indexId":"70056175","displayToPublicDate":"2013-11-18T15:37:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3525,"text":"Tectonophysics","active":true,"publicationSubtype":{"id":10}},"title":"Paleomagnetic contributions to the Klamath Mountains terrane puzzle-a new piece from the Ironside Mountain batholith, northern California","docAbstract":"We obtained paleomagnetic samples from six sites within the Middle Jurassic Ironside Mountain batholith (~170 Ma), which constitutes the structurally lowest part of the Western Hayfork terrane, in the Klamath Mountains province of northern California and southern Oregon.  Structural attitudes measured in the coeval Hayfork Bally Meta-andesite were used to correct paleomagnetic data from the batholith.  Comparing the corrected paleomagnetic pole with a 170-Ma reference pole for North America indicates 73.5° ± 10.6° of clockwise rotation relative to the craton.  Nearly one-half of this rotation may have occurred before the terrane accreted to the composite Klamath province at ~168 Ma.  No latitudinal displacement of the batholith was detected.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tecto.2013.09.007","usgsCitation":"Mankinen, E.A., Gromme, C.S., and Irwin, W.P., 2013, Paleomagnetic contributions to the Klamath Mountains terrane puzzle-a new piece from the Ironside Mountain batholith, northern California: Tectonophysics, v. 608, p. 401-407, https://doi.org/10.1016/j.tecto.2013.09.007.","productDescription":"6 p.","startPage":"401","endPage":"407","ipdsId":"IP-050598","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":279149,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.0,40.5 ], [ -124.0,43.0 ], [ -122.5,43.0 ], [ -122.5,40.5 ], [ -124.0,40.5 ] ] ] } } ] }","volume":"608","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528b370ae4b031f8c8439474","contributors":{"authors":[{"text":"Mankinen, Edward A. 0000-0001-7496-2681 emank@usgs.gov","orcid":"https://orcid.org/0000-0001-7496-2681","contributorId":1054,"corporation":false,"usgs":true,"family":"Mankinen","given":"Edward","email":"emank@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":486397,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gromme, C. Sherman","contributorId":22236,"corporation":false,"usgs":true,"family":"Gromme","given":"C.","email":"","middleInitial":"Sherman","affiliations":[],"preferred":false,"id":486398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irwin, W. Porter","contributorId":84262,"corporation":false,"usgs":true,"family":"Irwin","given":"W.","email":"","middleInitial":"Porter","affiliations":[],"preferred":false,"id":486399,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70055879,"text":"70055879 - 2013 - Watershed Regressions for Pesticides (WARP) models for predicting stream concentrations of multiple pesticides","interactions":[],"lastModifiedDate":"2017-02-15T11:39:36","indexId":"70055879","displayToPublicDate":"2013-11-14T14:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Watershed Regressions for Pesticides (WARP) models for predicting stream concentrations of multiple pesticides","docAbstract":"Watershed Regressions for Pesticides for multiple pesticides (WARP-MP) are statistical models developed to predict concentration statistics for a wide range of pesticides in unmonitored streams. The WARP-MP models use the national atrazine WARP models in conjunction with an adjustment factor for each additional pesticide. The WARP-MP models perform best for pesticides with application timing and methods similar to those used with atrazine. For other pesticides, WARP-MP models tend to overpredict concentration statistics for the model development sites. For WARP and WARP-MP, the less-than-ideal sampling frequency for the model development sites leads to underestimation of the shorter-duration concentration; hence, the WARP models tend to underpredict 4- and 21-d maximum moving-average concentrations, with median errors ranging from 9 to 38% As a result of this sampling bias, pesticides that performed well with the model development sites are expected to have predictions that are biased low for these shorter-duration concentration statistics. The overprediction by WARP-MP apparent for some of the pesticides is variably offset by underestimation of the model development concentration statistics. Of the 112 pesticides used in the WARP-MP application to stream segments nationwide, 25 were predicted to have concentration statistics with a 50% or greater probability of exceeding one or more aquatic life benchmarks in one or more stream segments. Geographically, many of the modeled streams in the Corn Belt Region were predicted to have one or more pesticides that exceeded an aquatic life benchmark during 2009, indicating the potential vulnerability of streams in this region.","language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2013.05.0179","usgsCitation":"Stone, W.W., Crawford, C.G., and Gilliom, R.J., 2013, Watershed Regressions for Pesticides (WARP) models for predicting stream concentrations of multiple pesticides: Journal of Environmental Quality, v. 42, no. 6, p. 1838-1851, https://doi.org/10.2134/jeq2013.05.0179.","productDescription":"14 p.","startPage":"1838","endPage":"1851","numberOfPages":"14","ipdsId":"IP-043582","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":473444,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2013.05.0179","text":"Publisher Index Page"},{"id":279082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335502,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7R20ZD3","text":"WARP model pesticide predictions for EPA reach file 1 segments: 1992-2012"},{"id":279079,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2013.05.0179"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"42","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-11-01","publicationStatus":"PW","scienceBaseUri":"52860787e4b00926c2186556","contributors":{"authors":[{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, Charles G. 0000-0003-1653-7841 cgcrawfo@usgs.gov","orcid":"https://orcid.org/0000-0003-1653-7841","contributorId":1064,"corporation":false,"usgs":true,"family":"Crawford","given":"Charles","email":"cgcrawfo@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":486276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilliom, Robert J. rgilliom@usgs.gov","contributorId":488,"corporation":false,"usgs":true,"family":"Gilliom","given":"Robert","email":"rgilliom@usgs.gov","middleInitial":"J.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":486275,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70055876,"text":"70055876 - 2013 - Spatial ecological processes and local factors predict the distribution and abundance of spawning by steelhead (<i>Oncorhynchus mykiss</i>) across a complex riverscape","interactions":[],"lastModifiedDate":"2013-11-14T14:21:40","indexId":"70055876","displayToPublicDate":"2013-11-14T14:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Spatial ecological processes and local factors predict the distribution and abundance of spawning by steelhead (<i>Oncorhynchus mykiss</i>) across a complex riverscape","docAbstract":"Processes that influence habitat selection in landscapes involve the interaction of habitat composition and configuration and are particularly important for species with complex life cycles. We assessed the relative influence of landscape spatial processes and local habitat characteristics on patterns in the distribution and abundance of spawning steelhead (Oncorhynchus mykiss), a threatened salmonid fish, across ~15,000 stream km in the John Day River basin, Oregon, USA. We used hurdle regression and a multi-model information theoretic approach to identify the relative importance of covariates representing key aspects of the steelhead life cycle (e.g., site access, spawning habitat quality, juvenile survival) at two spatial scales: within 2-km long survey reaches (local sites) and ecological neighborhoods (5 km) surrounding the local sites. Based on Akaike’s Information Criterion, models that included covariates describing ecological neighborhoods provided the best description of the distribution and abundance of steelhead spawning given the data. Among these covariates, our representation of offspring survival (growing-season-degree-days, °C) had the strongest effect size (7x) relative to other predictors. Predictive performances of model-averaged composite and neighborhood-only models were better than a site-only model based on both occurrence (percentage of sites correctly classified = 0.80±0.03 SD, 0.78±0.02 vs. 0.62±0.05, respectively) and counts (root mean square error = 3.37, 3.93 vs. 5.57, respectively). The importance of both temperature and stream flow for steelhead spawning suggest this species may be highly sensitive to impacts of land and water uses, and to projected climate impacts in the region and that landscape context, complementation, and connectivity will drive how this species responds to future environments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0079232","usgsCitation":"Falke, J.A., Dunham, J., Jordan, C.E., McNyset, K., and Reeves, G.H., 2013, Spatial ecological processes and local factors predict the distribution and abundance of spawning by steelhead (<i>Oncorhynchus mykiss</i>) across a complex riverscape: PLoS ONE, v. 8, no. 11, 11 p., https://doi.org/10.1371/journal.pone.0079232.","productDescription":"11 p.","numberOfPages":"11","ipdsId":"IP-049835","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0079232","text":"Publisher Index Page"},{"id":279081,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279080,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0079232"}],"country":"United States","state":"Oregon","otherGeospatial":"John Day River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.5566,44.3714 ], [ -120.5566,45.6675 ], [ -117.9702,45.6675 ], [ -117.9702,44.3714 ], [ -120.5566,44.3714 ] ] ] } } ] }","volume":"8","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-11-12","publicationStatus":"PW","scienceBaseUri":"52860786e4b00926c218654d","contributors":{"authors":[{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":486270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B.","contributorId":64791,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","affiliations":[],"preferred":false,"id":486273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordan, Christopher E.","contributorId":40116,"corporation":false,"usgs":true,"family":"Jordan","given":"Christopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":486271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNyset, Kris M.","contributorId":58177,"corporation":false,"usgs":true,"family":"McNyset","given":"Kris M.","affiliations":[],"preferred":false,"id":486272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":486274,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70132334,"text":"70132334 - 2013 - Odor-conditioned rheotaxis of the sea lamprey: Modeling, analysis and validation","interactions":[],"lastModifiedDate":"2020-12-21T13:05:20.074686","indexId":"70132334","displayToPublicDate":"2013-11-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1013,"text":"Bioinspiration and Biomimetics","active":true,"publicationSubtype":{"id":10}},"title":"Odor-conditioned rheotaxis of the sea lamprey: Modeling, analysis and validation","docAbstract":"<p><span>Mechanisms for orienting toward and locating an odor source are sought in both biology and engineering. Chemical ecology studies have demonstrated that adult female sea lamprey show rheotaxis in response to a male pheromone with dichotomous outcomes: sexually mature females locate the source of the pheromone whereas immature females swim by the source and continue moving upstream. Here we introduce a simple switching mechanism modeled after odor-conditioned rheotaxis for the sea lamprey as they search for the source of a pheromone in a one-dimensional riverine environment. In this strategy, the females move upstream only if they detect that the pheromone concentration is higher than a threshold value and drifts down (by turning off control action to save energy) otherwise. In addition, we propose various uncertainty models such as measurement noise, actuator disturbance, and a probabilistic model of a concentration field in turbulent flow. Based on the proposed model with uncertainties, a convergence analysis showed that with this simplistic switching mechanism, the lamprey converges to the source location on average in spite of all such uncertainties. Furthermore, a slightly modified model and its extensive simulation results explain the behaviors of immature female lamprey near the source location.</span></p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-3182/8/4/046011","usgsCitation":"Choi, J., Jean, S., Johnson, N.S., Brant, C.O., and Li, W., 2013, Odor-conditioned rheotaxis of the sea lamprey: Modeling, analysis and validation: Bioinspiration and Biomimetics, v. 8, no. 4, 046011, https://doi.org/10.1088/1748-3182/8/4/046011.","productDescription":"046011","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051395","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":498914,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-3182/8/4/046011","text":"Publisher Index Page"},{"id":381516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"546727c1e4b04d4b7dbde88e","contributors":{"authors":[{"text":"Choi, Jongeun","contributorId":126764,"corporation":false,"usgs":false,"family":"Choi","given":"Jongeun","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jean, Soo","contributorId":126765,"corporation":false,"usgs":false,"family":"Jean","given":"Soo","email":"","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":522802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":522800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brant, Cory O.","contributorId":126746,"corporation":false,"usgs":false,"family":"Brant","given":"Cory","email":"","middleInitial":"O.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522803,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522804,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048835,"text":"70048835 - 2013 - Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data","interactions":[],"lastModifiedDate":"2013-11-06T13:40:53","indexId":"70048835","displayToPublicDate":"2013-11-06T13:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data","docAbstract":"The British Petroleum Deepwater Horizon Oil Spill in the Gulf of Mexico was the biggest oil spill in US history. To assess the impact of the oil spill on the saltmarsh plant community, we examined Advanced Visible Infrared Imaging Spectrometer (AVIRIS) data flown over Barataria Bay, Louisiana in September 2010 and August 2011. Oil contamination was mapped using oil absorption features in pixel spectra and used to examine impact of oil along the oiled shorelines. Results showed that vegetation stress was restricted to the tidal zone extending 14 m inland from the shoreline in September 2010. Four indexes of plant stress and three indexes of canopy water content all consistently showed that stress was highest in pixels next to the shoreline and decreased with increasing distance from the shoreline. Index values along the oiled shoreline were significantly lower than those along the oil-free shoreline. Regression of index values with respect to distance from oil showed that in 2011, index values were no longer correlated with proximity to oil suggesting that the marsh was on its way to recovery. Change detection between the two dates showed that areas denuded of vegetation after the oil impact experienced varying degrees of re-vegetation in the following year. This recovery was poorest in the first three pixels adjacent to the shoreline. This study illustrates the usefulness of high spatial resolution airborne imaging spectroscopy to map actual locations where oil from the spill reached the shore and then to assess its impacts on the plant community. We demonstrate that post-oiling trends in terms of plant health and mortality could be detected and monitored, including recovery of these saltmarsh meadows one year after the oil spill.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0078989","usgsCitation":"Khanna, S., Santos, M.J., Ustin, S.L., Koltunov, A., Kokaly, R., and Roberts, D.A., 2013, Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data: PLoS ONE, v. 8, no. 11, 13 p., https://doi.org/10.1371/journal.pone.0078989.","productDescription":"13 p.","numberOfPages":"13","ipdsId":"IP-049577","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0078989","text":"Publisher Index Page"},{"id":278888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278882,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0078989"}],"country":"United States","state":"Louisiana","otherGeospatial":"Bataria Bay;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0325,28.5459 ], [ -92.0325,30.1333 ], [ -87.6819,30.1333 ], [ -87.6819,28.5459 ], [ -92.0325,28.5459 ] ] ] } } ] }","volume":"8","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-11-05","publicationStatus":"PW","scienceBaseUri":"527b650de4b0a7295d9b55dd","contributors":{"authors":[{"text":"Khanna, Shruti","contributorId":74287,"corporation":false,"usgs":true,"family":"Khanna","given":"Shruti","affiliations":[],"preferred":false,"id":485734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santos, Maria J.","contributorId":49694,"corporation":false,"usgs":true,"family":"Santos","given":"Maria","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ustin, Susan L.","contributorId":52878,"corporation":false,"usgs":false,"family":"Ustin","given":"Susan","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":485732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koltunov, Alexander","contributorId":73912,"corporation":false,"usgs":true,"family":"Koltunov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":485733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":485735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":485736,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70094485,"text":"70094485 - 2013 - Factors controlling floc settling velocity along a longitudinal estuarine transect","interactions":[],"lastModifiedDate":"2020-06-05T14:20:10.591306","indexId":"70094485","displayToPublicDate":"2013-11-01T15:14:12","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Factors controlling floc settling velocity along a longitudinal estuarine transect","docAbstract":"A 147 km longitudinal transect of flocculated cohesive sediment properties in San Francisco Bay (SFB) was conducted on June 17th, 2008. Our aim was to determine the factors that control floc settling velocity along the longitudinal axis of the estuary. The INSSEV-LF video system was used to measure floc diameters and settling velocities at 30 stations at a distance of 0.7 m above the estuary bed. Floc sizes (D) ranged from 22 μm to 639 μm and settling velocities (Ws) ranged between 0.04 mm·s<sup>− 1</sup> and 15.8 mm·s<sup>− 1</sup> during the longitudinal transect. Nearbed turbulent shear stresses throughout the transect duration were within the 0.2–0.5 Pa range which typically stimulates flocculation growth. The individual D–Ws–floc density plots suggest the suspended sediments encountered throughout SFB were composed of both muddy cohesive sediment and mixed sediments flocs. Mass-weighted population mean settling velocity (Ws<sub>mass</sub>) ranged from 0.5 mm·s<sup>− 1</sup> to 10 mm·s<sup>− 1</sup>. The macrofloc and microfloc (demarcation at 160 μm) sub-populations demonstrated parameterised settling velocities which spanned nearly double the range of the sample mean settling velocities (Ws<sub>mean</sub>). The macroflocs tended to dominate the suspended mass (up to 77% of the ambient suspended solid concentration; SSC) from San Pablo Bay to Carquinez Strait (the vicinity of the turbidity maximum zone). Microfloc mass was particularly significant (typically 60–100% of the SSC) in the northern section of South Bay and most of Central Bay. The transect took eleven hours to complete and was not fully synoptic. During slack tide, larger and faster settling flocs deposited, accounting for most of the longitudinal variability. The best single predictor of settling velocity was water velocity 39 min prior to sampling, not suspended-sediment concentration or salinity. Resuspension and settling lags are likely responsible for the lagged response of settling velocity to water velocity. The distribution of individual floc diameters and settling velocities indicates that floc density for a given floc diameter varies greatly. A small portion (a few percent) of suspended sediment mass in SFB is sand-sized and inclusion of sand in flocs appears likely. Fractal theory for cohesive sediment assumes that there is a single primary particle size that flocculates, which is not the case for these types of mixed sediment flocs. The wide variability in the physical, biological and chemical processes which contribute to flocculation within SFB means that spatial floc data is required in order to accurately represent the diverse floc dynamics present in the Bay system. The importance in determining accurate estimates of floc density has been highlighted by the SFB data, as these provide the basis for realistic distributions of floc dry mass and the mass settling flux across a floc population. However, although video floc sampling devices can produce the various floc property trends observed in SFB, good survey practice is still paramount. One can see that if the sampling coverage (i.e. data collection frequency) is poor, this could lead to potential mis-interpretations of the data and only limited conclusions may be drawn from such a restricted survey. For example, a limited survey (i.e. only 3 stations, compared to the 10 stations in the full survey) in South Bay produces an under-estimate in both the macrofloc SSC<sub>macro</sub> distribution by a factor of four and the Ws<sub>macro</sub> by a factor of two. To develop sediment transport numerical models for SFB, high quality floc size and settling data are needed to understand and simulate the depositional qualities of both suspended cohesive sediment and mixed sediments in San Francisco Bay. This study has shown that the most pragmatic solution is a physically-based approach, whereby the detailed flocs D vs. Ws spectra are parameterised in terms of their macrofloc and microfloc properties. This aids in model calibration, whilst retaining more of the dynamical aspects of the floc populations. All forms of flocculation are dynamically active processes, therefore it is important to also include both SSC and turbulence functions together with the floc data.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2013.06.018","usgsCitation":"Manning, A., and Schoellhamer, D., 2013, Factors controlling floc settling velocity along a longitudinal estuarine transect: Marine Geology, v. 345, p. 266-280, https://doi.org/10.1016/j.margeo.2013.06.018.","productDescription":"15 p.","startPage":"266","endPage":"280","numberOfPages":"15","ipdsId":"IP-011207","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":282591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.6349,37.4225 ], [ -122.6349,38.277 ], [ -121.6324,38.277 ], [ -121.6324,37.4225 ], [ -122.6349,37.4225 ] ] ] } } ] }","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd58fbe4b0b290850f86f5","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790422,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":790423,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790424,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Manning, A.J.","contributorId":54106,"corporation":false,"usgs":true,"family":"Manning","given":"A.J.","email":"","affiliations":[],"preferred":false,"id":490618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70112515,"text":"70112515 - 2013 - Understanding processes controlling sediment transports at the mouth of a highly energetic inlet system (San Francisco Bay, CA)","interactions":[],"lastModifiedDate":"2020-06-05T14:37:04.752704","indexId":"70112515","displayToPublicDate":"2013-11-01T14:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Understanding processes controlling sediment transports at the mouth of a highly energetic inlet system (San Francisco Bay, CA)","docAbstract":"<p>San Francisco Bay is one of the largest estuaries along the U.S. West Coast and is linked to the Pacific Ocean through the Golden Gate, a 100 m deep bedrock inlet. A coupled wave, flow and sediment transport model is used to quantify the sediment linkages between San Francisco Bay, the Golden Gate, and the adjacent open coast. Flow and sediment transport processes are investigated using an ensemble average of 24 climatologically derived wave cases and a 24.8 h representative tidal cycle. The model simulations show that within the inlet, flow and sediment transport is tidally dominated and driven by asymmetry of the ebb and flood tides. Peak ebb velocities exceed the peak flood velocities in the narrow Golden Gate channel as a result of flow convergence and acceleration. Persistent flow and sediment gyres at the headland tips are formed that limit sediment transfer from the ebb-tidal delta to the inlet and into the bay. The residual transport pattern in the inlet is dominated by a lateral segregation with a large ebb-dominant sediment transport (and flow) prevailing along the deeper north side of the Golden Gate channel, and smaller flood dominant transports along the shallow southern margin. The seaward edge of the ebb-tidal delta largely corresponds to the seaward extent of strong tidal flows. On the ebb-tidal delta, both waves and tidal forcing govern flow and sediment transport. Wave focusing by the ebb-tidal delta leads to strong patterns of sediment convergence and divergence along the adjacent Ocean Beach.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2012.07.003","usgsCitation":"Elias, E.P., and Hansen, J., 2013, Understanding processes controlling sediment transports at the mouth of a highly energetic inlet system (San Francisco Bay, CA): Marine Geology, v. 345, p. 207-220, https://doi.org/10.1016/j.margeo.2012.07.003.","productDescription":"14 p.","startPage":"207","endPage":"220","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":288645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.47695922851562,\n              37.80327385185868\n            ],\n            [\n              -122.47695922851562,\n              38.381498197198816\n            ],\n            [\n              -121.48818969726561,\n              38.591113776147445\n            ],\n            [\n              -121.05697631835938,\n              38.052416771864834\n            ],\n            [\n              -121.53762817382814,\n              37.80327385185868\n            ],\n            [\n              -122.47695922851562,\n              37.80327385185868\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"345","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7881e4b0abf75cf2d7f7","contributors":{"editors":[{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":509883,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":509885,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509884,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Elias, Edwin P.L.","contributorId":47295,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","email":"","middleInitial":"P.L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":494821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Jeff E.","contributorId":60339,"corporation":false,"usgs":true,"family":"Hansen","given":"Jeff E.","affiliations":[],"preferred":false,"id":494822,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70059023,"text":"70059023 - 2013 - Atmospheric deposition and critical loads for nitrogen and metals in Arctic Alaska: Review and current status","interactions":[],"lastModifiedDate":"2016-10-20T14:57:40","indexId":"70059023","displayToPublicDate":"2013-11-01T14:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2950,"text":"Open Journal of Air Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric deposition and critical loads for nitrogen and metals in Arctic Alaska: Review and current status","docAbstract":"To protect important resources under their bureau’s purview, the United States National Park Service’s (NPS) Arctic Network (ARCN) has developed a series of “vital signs” that are to be periodically monitored. One of these vital signs focuses on wet and dry deposition of atmospheric chemicals and further, the establishment of critical load (CL) values (thresholds for ecological effects based on cumulative depositional loadings) for nitrogen (N), sulfur, and metals. As part of the ARCN terrestrial monitoring programs, samples of the feather moss Hylocomium splendens are being col- lected and analyzed as a cost-effective means to monitor atmospheric pollutant deposition in this region. Ultimately, moss data combined with refined CL values might be used to help guide future regulation of atmospheric contaminant sources potentially impacting Arctic Alaska. But first, additional long-term studies are needed to determine patterns of contaminant deposition as measured by moss biomonitors and to quantify ecosystem responses at particular loadings/ ranges of contaminants within Arctic Alaska. Herein we briefly summarize 1) current regulatory guidance related to CL values 2) derivation of CL models for N and metals, 3) use of mosses as biomonitors of atmospheric deposition and loadings, 4) preliminary analysis of vulnerabilities and risks associated with CL estimates for N, 5) preliminary analysis of existing data for characterization of CL values for N for interior Alaska and 6) implications for managers and future research needs.","language":"English","publisher":"Scientific Research","doi":"10.4236/ojap.2013.24010","usgsCitation":"Linder, G.L., Brumbaugh, W.G., Neitlich, P., and Little, E., 2013, Atmospheric deposition and critical loads for nitrogen and metals in Arctic Alaska: Review and current status: Open Journal of Air Pollution, v. 2, p. 76-99, https://doi.org/10.4236/ojap.2013.24010.","productDescription":"24 p.","startPage":"76","endPage":"99","ipdsId":"IP-045962","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":473454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/ojap.2013.24010","text":"Publisher Index Page"},{"id":281392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281390,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4236/ojap.2013.24010"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -167.15,66.71 ], [ -167.15,70.73 ], [ -147.05,70.73 ], [ -147.05,66.71 ], [ -167.15,66.71 ] ] ] } } ] }","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4e68e4b0b290850f2145","contributors":{"authors":[{"text":"Linder, Greg L. linder2@usgs.gov","contributorId":1766,"corporation":false,"usgs":true,"family":"Linder","given":"Greg","email":"linder2@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":487428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":487427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neitlich, Peter","contributorId":64562,"corporation":false,"usgs":true,"family":"Neitlich","given":"Peter","email":"","affiliations":[],"preferred":false,"id":487429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Little, Edward","contributorId":90638,"corporation":false,"usgs":true,"family":"Little","given":"Edward","affiliations":[],"preferred":false,"id":487430,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70118580,"text":"70118580 - 2013 - Constraints on the age of the Great Sand Dunes, Colorado, from subsurface stratigraphy and OSL dates","interactions":[],"lastModifiedDate":"2014-07-29T13:11:18","indexId":"70118580","displayToPublicDate":"2013-11-01T13:10:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on the age of the Great Sand Dunes, Colorado, from subsurface stratigraphy and OSL dates","docAbstract":"The age of the Great Sand Dunes has been debated for nearly 150 yr. Seven ages ranging from Miocene to late Holocene have been proposed for them. This paper presents new information—chiefly subsurface stratigraphic data, OSL dates, and geomorphic evidence—that indicates that the Great Sand Dunes began to form in the latter part of the middle Pleistocene. The dunes overlie a thick wedge of piedmont-slope deposits, which in turn overlies sediment of Lake Alamosa, a paleolake that began to drain about 440 ka. The wedge of piedmont-slope deposits extends westward for at least 23 km and is as much as 60 m thick at a distance of 10 km from the Sangre de Cristo Range. Ostracodes from one well indicate that the eastern shoreline of Lake Alamosa extended to within 4.3 km of where the Great Sand Dunes eventually formed. The time represented by the wedge of piedmont-slope deposits is not known exactly, but the wedge post-dates 440 ka and was in place prior to 130 ka because by then the dunes overlying it were sufficiently close and tall enough to obstruct streams draining from the Sangre de Cristo Range.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Quaternary Association","publisherLocation":"New York, NY","doi":"10.1016/j.yqres.2013.09.009","usgsCitation":"Madole, R.F., Mahan, S., Romig, J.H., and Havens, J., 2013, Constraints on the age of the Great Sand Dunes, Colorado, from subsurface stratigraphy and OSL dates: Quaternary Research, v. 80, no. 3, p. 435-446, https://doi.org/10.1016/j.yqres.2013.09.009.","productDescription":"12 p.","startPage":"435","endPage":"446","numberOfPages":"12","costCenters":[],"links":[{"id":291322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291321,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2013.09.009"}],"volume":"80","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"57f7f21de4b0bc0bec0a01bc","contributors":{"authors":[{"text":"Madole, Richard F. 0000-0002-9081-570X madole@usgs.gov","orcid":"https://orcid.org/0000-0002-9081-570X","contributorId":1340,"corporation":false,"usgs":true,"family":"Madole","given":"Richard","email":"madole@usgs.gov","middleInitial":"F.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":497086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":497085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romig, Joseph H.","contributorId":24704,"corporation":false,"usgs":true,"family":"Romig","given":"Joseph","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":497087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Havens, Jeremy C.","contributorId":40912,"corporation":false,"usgs":true,"family":"Havens","given":"Jeremy C.","affiliations":[],"preferred":false,"id":497088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70055950,"text":"70055950 - 2013 - Prolonged magmatic activity on Mars inferred from the detection of felsic rocks","interactions":[],"lastModifiedDate":"2020-08-28T12:51:46.828588","indexId":"70055950","displayToPublicDate":"2013-11-01T12:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Prolonged magmatic activity on Mars inferred from the detection of felsic rocks","docAbstract":"Rocks dominated by the silicate minerals quartz and feldspar are abundant in Earth’s upper continental crust. Yet felsic rocks have not been widely identified on Mars, a planet that seems to lack plate tectonics and the associated magmatic processes that can produce evolved siliceous melts on Earth. If Mars once had a feldspar-rich crust that crystallized from an early magma ocean such as that on the Moon, erosion, sedimentation and volcanism have erased any clear surface evidence for widespread felsic materials. Here we report near-infrared spectral evidence from the Compact Reconnaissance Imaging Spectrometer for Mars onboard the Mars Reconnaissance Orbiter for felsic rocks in three geographically disparate locations on Mars. Spectral characteristics resemble those of feldspar-rich lunar anorthosites, but are accompanied by secondary alteration products (clay minerals). Thermodynamic phase equilibrium calculations demonstrate that fractional crystallization of magma compositionally similar to volcanic flows near one of the detection sites can yield residual melts with compositions consistent with our observations. In addition to an origin by significant magma evolution, the presence of felsic materials could also be explained by feldspar enrichment by fluvial weathering processes. Our finding of felsic materials in several locations on Mars suggests that similar observations by the Curiosity rover in Gale crater may be more widely applicable across the planet.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ngeo1994","usgsCitation":"Wray, J.J., Hansen, S.T., Dufek, J., Swayze, G.A., Murchie, S., Seelos, F., Skok, J.R., Irwin, R.P., and Ghiorso, M.S., 2013, Prolonged magmatic activity on Mars inferred from the detection of felsic rocks: Nature Geoscience, v. 6, p. 1013-1017, https://doi.org/10.1038/ngeo1994.","productDescription":"5 p.","startPage":"1013","endPage":"1017","numberOfPages":"5","ipdsId":"IP-040370","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":280727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"6","noUsgsAuthors":false,"publicationDate":"2013-11-17","publicationStatus":"PW","scienceBaseUri":"53cd6e62e4b0b29085105bfe","contributors":{"authors":[{"text":"Wray, James J.","contributorId":81736,"corporation":false,"usgs":false,"family":"Wray","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":7032,"text":"School of Earth and Atmospheric Sciences, Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":486291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Sarah T.","contributorId":44824,"corporation":false,"usgs":true,"family":"Hansen","given":"Sarah","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":486289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dufek, Josef","contributorId":40509,"corporation":false,"usgs":true,"family":"Dufek","given":"Josef","affiliations":[],"preferred":false,"id":486287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swayze, Gregg A. 0000-0002-1814-7823 gswayze@usgs.gov","orcid":"https://orcid.org/0000-0002-1814-7823","contributorId":518,"corporation":false,"usgs":true,"family":"Swayze","given":"Gregg","email":"gswayze@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":797324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murchie, Scott L.","contributorId":22615,"corporation":false,"usgs":true,"family":"Murchie","given":"Scott L.","affiliations":[],"preferred":false,"id":486285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seelos, Frank P.","contributorId":85496,"corporation":false,"usgs":true,"family":"Seelos","given":"Frank P.","affiliations":[],"preferred":false,"id":486292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skok, John R.","contributorId":40888,"corporation":false,"usgs":true,"family":"Skok","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":486288,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Irwin, Rossman P. III","contributorId":59718,"corporation":false,"usgs":true,"family":"Irwin","given":"Rossman","suffix":"III","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":486290,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ghiorso, Mark S.","contributorId":26732,"corporation":false,"usgs":true,"family":"Ghiorso","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":486286,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70125300,"text":"70125300 - 2013 - Chronology and provenance of last-glacial (Peoria) loess in western Iowa and paleoclimatic implications","interactions":[],"lastModifiedDate":"2014-09-16T09:55:14","indexId":"70125300","displayToPublicDate":"2013-11-01T09:54:19","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Chronology and provenance of last-glacial (Peoria) loess in western Iowa and paleoclimatic implications","docAbstract":"Geologic archives show that the Earth was dustier during the last glacial period. One model suggests that increased gustiness (stronger, more frequent winds) enhanced dustiness. We tested this at Loveland, Iowa, one of the thickest deposits of last-glacial-age (Peoria) loess in the world. Based on K/Rb and Ba/Rb, loess was derived not only from glaciogenic sources of the Missouri River, but also distal loess from non-glacial sources in Nebraska. Optically stimulated luminescence (OSL) ages provide the first detailed chronology of Peoria Loess at Loveland. Deposition began after ~ 27 ka and continued until ~ 17 ka. OSL ages also indicate that mass accumulation rates (MARs) of loess were not constant. MARs were highest and grain size was coarsest during the time of middle Peoria Loess accretion, ~ 23 ka, when ~ 10 m of loess accumulated in no more than ~ 2000 yr and possibly much less. The timing of coarsest grain size and highest MAR, indicating strongest winds, coincides with a summer-insolation minimum at high latitudes in North America and the maximum southward extent of the Laurentide ice sheet. These observations suggest that increased dustiness during the last glacial period was driven largely by enhanced gustiness, forced by a steepened meridional temperature gradient.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Quaternary Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Academic Press","publisherLocation":"New York, NY","doi":"10.1016/j.yqres.2013.06.006","usgsCitation":"Muhs, D.R., Bettis, E., Roberts, H.M., Harlan, S.S., Paces, J.B., and Reynolds, R.L., 2013, Chronology and provenance of last-glacial (Peoria) loess in western Iowa and paleoclimatic implications: Quaternary Research, v. 80, no. 3, p. 468-481, https://doi.org/10.1016/j.yqres.2013.06.006.","productDescription":"14 p.","startPage":"468","endPage":"481","numberOfPages":"14","ipdsId":"IP-042020","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":293902,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293901,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.yqres.2013.06.006"}],"volume":"80","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"54195127e4b091c7ffc8e5e9","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":501186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettis, E. Arthur III","contributorId":72822,"corporation":false,"usgs":true,"family":"Bettis","given":"E. Arthur","suffix":"III","affiliations":[],"preferred":false,"id":501190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Helen M.","contributorId":16691,"corporation":false,"usgs":true,"family":"Roberts","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":501189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harlan, Stephen S.","contributorId":11208,"corporation":false,"usgs":true,"family":"Harlan","given":"Stephen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paces, James B. 0000-0002-9809-8493 jbpaces@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":2514,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"jbpaces@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":501187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":441,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":271,"text":"Federal Center","active":false,"usgs":true}],"preferred":true,"id":501185,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70057370,"text":"70057370 - 2013 - Comparing bacterial community composition between healthy and white plague-like disease states in <i>Orbicella annularis</i> using PhyloChip™ G3 microarrays","interactions":[],"lastModifiedDate":"2016-03-30T11:50:02","indexId":"70057370","displayToPublicDate":"2013-11-01T08:39:22","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Comparing bacterial community composition between healthy and white plague-like disease states in <i>Orbicella annularis</i> using PhyloChip™ G3 microarrays","docAbstract":"<p><span>Coral disease is a global problem. Diseases are typically named or described based on macroscopic changes, but broad signs of coral distress such as tissue loss or discoloration are unlikely to be specific to a particular pathogen. For example, there appear to be multiple diseases that manifest the rapid tissue loss that characterizes &lsquo;white plague.&rsquo; PhyloChip&trade; G3 microarrays were used to compare the bacterial community composition of both healthy and white plague-like diseased corals. Samples of lobed star coral (</span><i>Orbicella annularis</i><span>, formerly of the genus&nbsp;</span><i>Montastraea</i><span>&nbsp;</span><a class=\"ref-tip\" href=\"http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0079801#pone.0079801-Budd1\">[1]</a><span>) were collected from two geographically distinct areas, Dry Tortugas National Park and Virgin Islands National Park, to determine if there were biogeographic differences between the diseases. In fact, all diseased samples clustered together, however there was no consistent link to&nbsp;</span><i>Aurantimonas coralicida</i><span>, which has been described as the causative agent of white plague type II. The microarrays revealed a large amount of bacterial heterogeneity within the healthy corals and less diversity in the diseased corals. Gram-positive bacterial groups (Actinobacteria, Firmicutes) comprised a greater proportion of the operational taxonomic units (OTUs) unique to healthy samples. Diseased samples were enriched in OTUs from the families Corynebacteriaceae, Lachnospiraceae, Rhodobacteraceae, and Streptococcaceae. Much previous coral disease work has used clone libraries, which seem to be methodologically biased toward recovery of Gram-negative bacterial sequences and may therefore have missed the importance of Gram-positive groups. The PhyloChip&trade; data presented here provide a broader characterization of the bacterial community changes that occur within&nbsp;</span><i>Orbicella annularis</i><span>&nbsp;during the shift from a healthy to diseased state.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0079801","usgsCitation":"Kellogg, C.A., Piceno, Y., Tom, L.M., DeSantis, T.Z., Gray, M.A., Zawada, D., and Andersen, G.L., 2013, Comparing bacterial community composition between healthy and white plague-like disease states in <i>Orbicella annularis</i> using PhyloChip™ G3 microarrays: PLoS ONE, v. 8, no. 11, e79801; 10 p., https://doi.org/10.1371/journal.pone.0079801.","productDescription":"e79801; 10 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050897","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473464,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0079801","text":"Publisher Index Page"},{"id":279514,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Dry Tortugas National Park, St. John, Virgin Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.93,18.3 ], [ -82.93,24.64 ], [ -64.66,24.64 ], [ -64.66,18.3 ], [ -82.93,18.3 ] ] ] } } ] }","volume":"8","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-11-20","publicationStatus":"PW","scienceBaseUri":"52908b00e4b0bbdcf23f08d9","contributors":{"authors":[{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":486642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piceno, Yvette M.","contributorId":66977,"corporation":false,"usgs":true,"family":"Piceno","given":"Yvette M.","affiliations":[],"preferred":false,"id":486645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tom, Lauren M.","contributorId":92938,"corporation":false,"usgs":true,"family":"Tom","given":"Lauren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeSantis, Todd Z.","contributorId":101158,"corporation":false,"usgs":true,"family":"DeSantis","given":"Todd","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":486648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, Michael A. 0000-0002-3856-5037 mgray@usgs.gov","orcid":"https://orcid.org/0000-0002-3856-5037","contributorId":3532,"corporation":false,"usgs":true,"family":"Gray","given":"Michael","email":"mgray@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":486644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":486643,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Andersen, Gary L.","contributorId":68610,"corporation":false,"usgs":true,"family":"Andersen","given":"Gary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":486646,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70073491,"text":"70073491 - 2013 - Predicting invasion in grassland ecosystems: Is exotic dominance the real embarrassment of richness?","interactions":[],"lastModifiedDate":"2017-05-22T23:05:30","indexId":"70073491","displayToPublicDate":"2013-10-30T11:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting invasion in grassland ecosystems: Is exotic dominance the real embarrassment of richness?","docAbstract":"Invasions have increased the size of regional species pools, but are typically assumed to reduce native diversity. However, global-scale tests of this assumption have been elusive because of the focus on exotic species richness, rather than relative abundance. This is problematic because low invader richness can indicate invasion resistance by the native community or, alternatively, dominance by a single exotic species. Here, we used a globally replicated study to quantify relationships between exotic richness and abundance in grass-dominated ecosystems in 13 countries on six continents, ranging from salt marshes to alpine tundra. We tested effects of human land use, native community diversity, herbivore pressure, and nutrient limitation on exotic plant dominance. Despite its widespread use, exotic richness was a poor proxy for exotic dominance at low exotic richness, because sites that contained few exotic species ranged from relatively pristine (low exotic richness and cover) to almost completely exotic-dominated ones (low exotic richness but high exotic cover). Both exotic cover and richness were predicted by native plant diversity (native grass richness) and land use (distance to cultivation). Although climate was important for predicting both exotic cover and richness, climatic factors predicting cover (precipitation variability) differed from those predicting richness (maximum temperature and mean temperature in the wettest quarter). Herbivory and nutrient limitation did not predict exotic richness or cover. Exotic dominance was greatest in areas with low native grass richness at the site- or regional-scale. Although this could reflect native grass displacement, a lack of biotic resistance is a more likely explanation, given that grasses comprise the most aggressive invaders. These findings underscore the need to move beyond richness as a surrogate for the extent of invasion, because this metric confounds monodominance with invasion resistance. Monitoring species' relative abundance will more rapidly advance our understanding of invasions","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12370","usgsCitation":"Seabloom, E., Borer, E., Buckley, Y., Cleland, E., Davies, K., Firn, J., Harpole, W., Hautier, Y., Lind, E., MacDougall, A., Orrock, J., Prober, S.M., Adler, P., Alberti, J., Anderson, T., Bakker, J.D., Biederman, L.A., Blumenthal, D., Brown, C.S., Brudvig, L.A., Caldeira, M., Chu, C., Crawley, M.J., Daleo, P., Damschen, E.I., D'Antonio, C., DeCrappeo, N.M., Dickman, C.R., Du, G., Fay, P.A., Frater, P., Gruner, D., Hagenah, N., Hector, A., Helm, A., Hillebrand, H., Hofmockel, K.S., Humphries, H.C., Iribarne, O., Jin, V.L., Kay, A., Kirkman, K.P., Klein, J.A., Knops, J.M., La Pierre, K.J., Ladwig, L.M., Lambrinos, John, G., Leakey, A.D., Li, Q., Li, W., McCulley, R., Melbourne, B., Mitchell, Charles, E., Moore, J.L., Morgan, J., Mortensen, B., O’Halloran, L.R., Pärtel, M., Pascual, J., Pyke, D.A., Risch, A., Salguero-Gomez, R., Sankaran, M., Schuetz, M., Simonsen, A., Smith, M., Stevens, C., Sullivan, L., Wardle, G.M., Wolkovich, E., Wragg, P.D., Wright, J., and Yang, L., 2013, Predicting invasion in grassland ecosystems: Is exotic dominance the real embarrassment of richness?: Global Change Biology, v. 19, no. 12, p. 3677-3687, https://doi.org/10.1111/gcb.12370.","productDescription":"11 p.","startPage":"3677","endPage":"3687","ipdsId":"IP-051539","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473470,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://ir.lzu.edu.cn/handle/262010/115372","text":"External Repository"},{"id":281291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-10-16","publicationStatus":"PW","scienceBaseUri":"53cd6c64e4b0b29085104889","contributors":{"authors":[{"text":"Seabloom, Eric","contributorId":71476,"corporation":false,"usgs":true,"family":"Seabloom","given":"Eric","affiliations":[],"preferred":false,"id":488767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borer, Elizabeth","contributorId":23841,"corporation":false,"usgs":true,"family":"Borer","given":"Elizabeth","affiliations":[],"preferred":false,"id":488741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckley, Yvonne","contributorId":52882,"corporation":false,"usgs":true,"family":"Buckley","given":"Yvonne","affiliations":[],"preferred":false,"id":488757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleland, Elsa E.","contributorId":92790,"corporation":false,"usgs":true,"family":"Cleland","given":"Elsa E.","affiliations":[],"preferred":false,"id":488791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Kendi","contributorId":68217,"corporation":false,"usgs":true,"family":"Davies","given":"Kendi","affiliations":[],"preferred":false,"id":488763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Firn, Jennifer","contributorId":66405,"corporation":false,"usgs":false,"family":"Firn","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":488761,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harpole, W. 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Melinda","contributorId":89441,"corporation":false,"usgs":true,"family":"Smith","given":"Melinda","affiliations":[],"preferred":false,"id":488788,"contributorType":{"id":1,"text":"Authors"},"rank":68},{"text":"Stevens, Carly","contributorId":67005,"corporation":false,"usgs":true,"family":"Stevens","given":"Carly","affiliations":[],"preferred":false,"id":488762,"contributorType":{"id":1,"text":"Authors"},"rank":69},{"text":"Sullivan, Lauren","contributorId":21454,"corporation":false,"usgs":true,"family":"Sullivan","given":"Lauren","affiliations":[],"preferred":false,"id":488739,"contributorType":{"id":1,"text":"Authors"},"rank":70},{"text":"Wardle, Glenda M.","contributorId":33216,"corporation":false,"usgs":true,"family":"Wardle","given":"Glenda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":488749,"contributorType":{"id":1,"text":"Authors"},"rank":71},{"text":"Wolkovich, Elizabeth M.","contributorId":69288,"corporation":false,"usgs":true,"family":"Wolkovich","given":"Elizabeth M.","affiliations":[],"preferred":false,"id":488765,"contributorType":{"id":1,"text":"Authors"},"rank":72},{"text":"Wragg, Peter D.","contributorId":24082,"corporation":false,"usgs":true,"family":"Wragg","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":488742,"contributorType":{"id":1,"text":"Authors"},"rank":73},{"text":"Wright, Justin","contributorId":75440,"corporation":false,"usgs":true,"family":"Wright","given":"Justin","affiliations":[],"preferred":false,"id":488771,"contributorType":{"id":1,"text":"Authors"},"rank":74},{"text":"Yang, Louie","contributorId":94968,"corporation":false,"usgs":true,"family":"Yang","given":"Louie","affiliations":[],"preferred":false,"id":488792,"contributorType":{"id":1,"text":"Authors"},"rank":75}]}}
,{"id":70215749,"text":"70215749 - 2013 - Geophysical constraints on Rio Grande rift structure in the central San Luis Basin, Colorado and New Mexico","interactions":[],"lastModifiedDate":"2020-11-10T11:54:50.532348","indexId":"70215749","displayToPublicDate":"2013-10-28T10:31:30","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical constraints on Rio Grande rift structure in the central San Luis Basin, Colorado and New Mexico","docAbstract":"<div class=\"widget widget-BookChapterMainView widget-instance-BookChapterMainView\"><div class=\"content-inner-wrap\"><div class=\"book-chapter-body\"><div id=\"ContentTab\" class=\"content active\"><div class=\"widget widget-BookSectionsText widget-instance-BookChaptertext\"><div class=\"module-widget\"><div class=\"widget-items\" data-widgetname=\"BookSectionsText\"><div class=\"category-section content-section js-content-section\" data-statsid=\"4795548\"><p>Interpretation of gravity, aeromagnetic, and magnetotelluric (MT) data reveals patterns of rifting, rift-sediment thicknesses, distribution of pre-rift volcanic and sedimentary rocks, and distribution of syn-rift volcanic rocks in the central San Luis Basin, one of the northernmost major basins that make up the Rio Grande rift. Rift-sediment thicknesses for the central San Luis Basin determined from a three-dimensional gravity inversion indicate that syn-rift Santa Fe Group sediments have a maximum thickness of ~2 km in the Sanchez graben near the eastern margin of the basin along the central Sangre de Cristo fault zone, and reach nearly 1 km within the Monte Vista graben near the western basin margin along the San Juan Mountains. In between, Santa Fe Group thickness is negligible under the San Luis Hills and estimated to reach ~1.1 km under the Costilla Plains (although no independent thickness constraints exist, and a range of thicknesses of 600 m to 2 km is geophysically reasonable). From combined geophysical and geologic considerations, pre-rift, dominantly sedimentary rocks appear to increase in thickness from none in the Sanchez graben on the east to perhaps 800 m under the San Luis Hills on the west. The pre-rift rocks are most likely early Tertiary in age, but the presence of Mesozoic and Paleozoic sedimentary rocks cannot be ruled out. Geophysical data provide new evidence that an isolated exposure of Proterozoic rocks on San Pedro Mesa is rooted in the Precambrian basement. This narrow, north-south–trending basement high has ~2 km of positive relief with respect to the base of the Sanchez graben, and separates the graben from the structural depression beneath the Costilla Plains. A structural high composed of pre-rift rocks, long inferred to extend from under the San Luis Hills to the Taos Plateau, is confirmed and found to be denser than previously believed, with little or no overlying Santa Fe Group sediments. Major faults in the study area are delineated by geophysical data and models; these faults include significant vertical offsets (≥1 km) of Precambrian rocks along the central and southern zones of the Sangre de Cristo fault system. Other faults with similarly large offsets of the Santa Fe Group include a fault bounding the western margin of San Pedro Mesa, and other faults that bound the Monte Vista graben in an area previously assumed to be a simple hinge zone at the western edge of the San Luis Basin. A major north-south–trending structure with expression in gravity and MT data occurs at the boundary between the Costilla Plains and the San Luis Hills structural high. Although it has been interpreted as a down-to-the-east normal fault or fault zone, our modeling suggests that it also is likely related to pre-rift tectonics. Aeromagnetic anomalies over much of the area are interpreted to mainly reflect variations of remanent magnetic polarity and burial depth of the 5.3–3.7 Ma Servilleta Basalt of the Taos Plateau volcanic field. Magnetic-source depth estimates are interpreted to indicate patterns of subsidence following eruption of the basalt, with maximum subsidence in the Sanchez graben.</p></div></div></div></div></div></div></div></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2013.2494(04)","usgsCitation":"Drenth, B.J., Grauch, V.J., and Rodriguez, B.D., 2013, Geophysical constraints on Rio Grande rift structure in the central San Luis Basin, Colorado and New Mexico: GSA Special Papers, v. 494, p. 75-99, https://doi.org/10.1130/2013.2494(04).","productDescription":"25 p.","startPage":"75","endPage":"99","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":379873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"Central San Luis Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.97363281249999,\n              35.119908570996834\n            ],\n            [\n              -106.2158203125,\n              34.34343606848294\n            ],\n            [\n              -104.99633789062499,\n              35.119908570996834\n            ],\n            [\n              -104.23828125,\n              36.932330061503144\n            ],\n            [\n              -104.65576171875,\n              39.50404070558415\n            ],\n            [\n              -106.10595703125,\n              40.094882122321145\n            ],\n            [\n              -107.3583984375,\n              39.45316112807394\n            ],\n            [\n              -107.97363281249999,\n              36.888408043138206\n            ],\n            [\n              -107.97363281249999,\n              35.119908570996834\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"494","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":803297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":803298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":803299,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048562,"text":"70048562 - 2013 - Nitrogen cycling responses to mountain pine beetle disturbance in a high elevation whitebark pine ecosystem","interactions":[],"lastModifiedDate":"2013-10-30T10:44:51","indexId":"70048562","displayToPublicDate":"2013-10-22T16:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen cycling responses to mountain pine beetle disturbance in a high elevation whitebark pine ecosystem","docAbstract":"Ecological disturbances can significantly affect biogeochemical cycles in terrestrial ecosystems, but the biogeochemical consequences of the extensive mountain pine beetle outbreak in high elevation whitebark pine (WbP) (Pinus albicaulis) ecosystems of western North America have not been previously investigated. Mountain pine beetle attack has driven widespread WbP mortality, which could drive shifts in both the pools and fluxes of nitrogen (N) within these ecosystems. Because N availability can limit forest regrowth, understanding how beetle-induced mortality affects N cycling in WbP stands may be critical to understanding the trajectory of ecosystem recovery. Thus, we measured above- and belowground N pools and fluxes for trees representing three different times since beetle attack, including unattacked trees. Litterfall N inputs were more than ten times higher under recently attacked trees compared to unattacked trees. Soil inorganic N concentrations also increased following beetle attack, potentially driven by a more than two-fold increase in ammonium (NH4+) concentrations in the surface soil organic horizon. However, there were no significant differences in mineral soil inorganic N or soil microbial biomass N concentrations between attacked and unattacked trees, implying that short-term changes in N cycling in response to the initial stages of WbP attack were restricted to the organic horizon. Our results suggest that while mountain pine beetle attack drives a pulse of N from the canopy to the forest floor, changes in litterfall quality and quantity do not have profound effects on soil biogeochemical cycling, at least in the short-term. However, continuous observation of these important ecosystems will be crucial to determining the long-term biogeochemical effects of mountain pine beetle outbreaks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0065004","usgsCitation":"Keville, M.P., Reed, S.C., and Cleveland, C.C., 2013, Nitrogen cycling responses to mountain pine beetle disturbance in a high elevation whitebark pine ecosystem: PLoS ONE, v. 8, no. 6, 8 p., https://doi.org/10.1371/journal.pone.0065004.","productDescription":"8 p.","numberOfPages":"8","ipdsId":"IP-045133","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0065004","text":"Publisher Index Page"},{"id":278341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278340,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0065004"}],"country":"United States","state":"Montana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.16,42.00 ], [ -119.16,48.96 ], [ -106.06,48.96 ], [ -106.06,42.00 ], [ -119.16,42.00 ] ] ] } } ] }","volume":"8","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-05","publicationStatus":"PW","scienceBaseUri":"5267906ae4b0c24c90856d96","contributors":{"authors":[{"text":"Keville, Megan P.","contributorId":25071,"corporation":false,"usgs":true,"family":"Keville","given":"Megan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":485094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":485092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleveland, Cory C.","contributorId":10264,"corporation":false,"usgs":true,"family":"Cleveland","given":"Cory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485093,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048523,"text":"ofr20131105 - 2013 - Oceanographic controls on sedimentary and geochemical facies on the Peru outer shelf and upper slope","interactions":[],"lastModifiedDate":"2018-03-23T14:12:00","indexId":"ofr20131105","displayToPublicDate":"2013-10-18T12:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1105","title":"Oceanographic controls on sedimentary and geochemical facies on the Peru outer shelf and upper slope","docAbstract":"<p>Concentrations and characteristics of organic matter in surface sediments deposited under an intense oxygen-minimum zone (OMZ) on the Peru margin were mapped and studied in samples from deck-deployed box cores and push cores acquired by submersible on two east-west transects spanning depths of 75 to 1,000 meters (m) at 12°S and 13.5°S. On the basis of sampling and analyses of the top 1–2 centimeters (cm) of available cores, three main belts of sediments were identified on each transect with increasing depth: (1) muds rich in organic carbon (OC); (2) authigenic phosphatic mineral crusts and pavements; and (3) glaucony facies.</p><p>Sediments rich in OC on the 12°S transect were mainly located on the outer shelf and upper slope (150–350 m), but they occurred in much shallower water (approximately 100 m) on the 13.5°S transect. The organic matter is almost entirely marine as confirmed by Rock-Eval pyrolysis and isotopic composition of OC. Concentrations of OC are highest (up to 18 percent) in sediments within the OMZ where dissolved oxygen (DO) concentrations are &lt;5 micromoles per kilogram (μM). Even at these low concentrations of DO, however, the surface sediments from within the OMZ are dominantly unlaminated. Concentrations of DO may have the dominant effect on organic matter characteristics, but reworking of fine-grained sediment and organic matter by strong bottom currents with velocities as high as 30 centimeters per second (cm/s) on the slope between 150 and 300 m and redeposition on the seafloor in areas of lower energy and higher DO concentration also exert important controls on OC concentration and degree of oxidation in this region.</p><p>Phosphate-rich sediments and crusts occurred at depths of about 300 to 550 m on both transects. Nodular crusts of sediment cemented by carbonate-fluorapatite (CFA; phosphorite) or dolomite form within the OMZ. These phosphorite crusts evolve through cementation from light olive-green, stiff but friable, phosphatized claystone “protocrusts” through dense, dark phosphorite crusts, cemented breccias, and pavements. The degree of phosphatization and thickness of the crusts depend on the rates of sediment supply and on the strength and frequency of currents that re-expose crusts on the seafloor. Phosphorite crusts and pavements on the Peru margin can only become buried and incorporated into the geologic record once bottom currents slacken sufficiently to allow fine-grained sediment to accumulate.</p><p>Glaucony-rich surface sediments, relatively undiluted by other components, were found mainly in deeper water on the 13.5°S transect (750 m to at least 1,067 m). These sediments consist almost entirely of sand-size glaucony pellets. These widespread glaucony sands formed in place and were then concentrated and reworked by strong currents that winnowed away the fine-grained matrix. Although the glaucony occurs in sand-size pellets, the pellets are made up of aggregates of authigenic, platy, micaceous clay minerals. Glaucony is predominantly a potassium (K), sodium (Na), iron (Fe), magnesium (Mg) aluminosilicate with an approximate formula of (K,Na)(Fe<sup>3+</sup>,Al,Mg)<sub>2</sub>(Si,Al)<sub>4</sub>O<sub>10</sub>(OH)<sub>2</sub>. The glaucony on the 13.5°S transect forms by alteration of one or more original “framework” minerals (carbonate and [or] aluminosilicates) to form pellital aggregates of Fe-, K-, and Mg-rich clay minerals. Because Fe, K, and Mg are derived from seawater, sedimentation rates must be extremely slow in order for the original framework minerals to remain in contact with seawater. The close association of glaucony and phosphorite indicates a delicate balance between the slightly oxidizing conditions at the base of the OMZ that form glaucony and the slightly reducing conditions that mobilize iron and phosphate to form phosphorite.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131105","usgsCitation":"Arthur, M.A., and Dean, W.E., 2013, Oceanographic controls on sedimentary and geochemical facies on the Peru outer shelf and upper slope: U.S. Geological Survey Open-File Report 2013-1105, v, 38 p., https://doi.org/10.3133/ofr20131105.","productDescription":"v, 38 p.","numberOfPages":"43","onlineOnly":"Y","ipdsId":"IP-037568","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":278263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131105.gif"},{"id":278243,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1105/"},{"id":278262,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1105/pdf/OF13-1105.pdf"}],"country":"Peru","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,-14 ], [ -81,-10 ], [ -74,-10 ], [ -74,-14 ], [ -81,-14 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52624a68e4b079a99629a0e8","contributors":{"authors":[{"text":"Arthur, Michael A.","contributorId":90018,"corporation":false,"usgs":true,"family":"Arthur","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":484953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dean, Walter E. dean@usgs.gov","contributorId":1801,"corporation":false,"usgs":true,"family":"Dean","given":"Walter","email":"dean@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":484952,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70073512,"text":"70073512 - 2013 - Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data","interactions":[],"lastModifiedDate":"2014-01-21T09:22:44","indexId":"70073512","displayToPublicDate":"2013-10-15T09:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data","docAbstract":"In capture-recapture and mark-resight surveys, movements of individuals both within and between sampling periods can alter the susceptibility of individuals to detection over the region of sampling. In these circumstances spatially explicit capture-recapture (SECR) models, which incorporate the observed locations of individuals, allow population density and abundance to be estimated while accounting for differences in detectability of individuals. In this paper I propose two Bayesian SECR models, one for the analysis of recaptures observed in trapping arrays and another for the analysis of recaptures observed in area searches. In formulating these models I used distinct submodels to specify the distribution of individual home-range centers and the observable recaptures associated with these individuals. This separation of ecological and observational processes allowed me to derive a formal connection between Bayes and empirical Bayes estimators of population abundance that has not been established previously. I showed that this connection applies to every Poisson point-process model of SECR data and provides theoretical support for a previously proposed estimator of abundance based on recaptures in trapping arrays. To illustrate results of both classical and Bayesian methods of analysis, I compared Bayes and empirical Bayes esimates of abundance and density using recaptures from simulated and real populations of animals. Real populations included two iconic datasets: recaptures of tigers detected in camera-trap surveys and recaptures of lizards detected in area-search surveys. In the datasets I analyzed, classical and Bayesian methods provided similar – and often identical – inferences, which is not surprising given the sample sizes and the noninformative priors used in the analyses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0084017","usgsCitation":"Dorazio, R.M., 2013, Bayes and empirical Bayes estimators of abundance and density from spatial capture-recapture data: PLoS ONE, v. 8, no. 12, 12 p., https://doi.org/10.1371/journal.pone.0084017.","productDescription":"12 p.","ipdsId":"IP-044554","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473484,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0084017","text":"Publisher Index Page"},{"id":281302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281301,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0084017"}],"volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-12-27","publicationStatus":"PW","scienceBaseUri":"53cd4efae4b0b290850f26cb","contributors":{"authors":[{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":488864,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70118593,"text":"70118593 - 2013 - Rangewide glaciation in the Sierra Nevada, California","interactions":[],"lastModifiedDate":"2017-11-02T15:03:16","indexId":"70118593","displayToPublicDate":"2013-10-13T13:54:55","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Rangewide glaciation in the Sierra Nevada, California","docAbstract":"<p>The 600-km-long Sierra Nevada underwent extensive Pleistocene glaciation except for its southernmost 100 km. Presently, ∼1700 small glaciers and ice masses near the crest of the range occur above 3250 m in elevation; these covered an area of ∼50 km<sup>2</sup><span>&nbsp;</span>in 1972. Fourteen of the largest glaciers decreased by about one half in area during the period from 1900 to 2004.</p><p>Rock glaciers, generally glacial ice covered by 1–10 m of rockfall debris, occur in about the same span of the range as ice and permanent snowfields. They are, on average, lower by 200–300 m, apparently because of the insulating layer of rocky rubble that protects their internal ice from the sun’s heat and from wind.</p><p>The principal Pleistocene glacial stages are the Sherwin (ca. 820 ka), Tahoe (170–130 and ca. 70 ka), Tioga (14–28 ka), and Recess Peak (13 ka). Some 7040 glacial lakes, produced primarily by quarrying from bedrock, were mostly exposed after recession of the Tioga glacial stage. The lakes largely mark the area of primary snow accumulation. Below the lower limit of the lakes, ice flowed downward into river-cut canyons, forming major trunk glaciers within the zone of ablation.</p><p>The range is in general a westward-tilted block upfaulted on its east side. Therefore, the main late Pleistocene trunk glaciers (Tahoe/Tioga) west of the crest extend 25–60 km, whereas those east of the crest extend only 5–20 km. Because of higher precipitation northward, glacial features such as the toes of existing glaciers and rock glaciers, as well as the late season present-day snowline, all decrease in elevation northward. Likewise, the elevation of the lower limit of glacial lakes, an indication of the zone of snow accumulation during the late Pleistocene, decreases about the same degree. This similarity suggests that the overall climate patterns of the late Pleistocene, though cooler, were similar to those of today. The east slope glaciers show a similar northward depression, but they are ∼500–1000 m higher.</p><p>The upper part of the glacial system was erosive over a broad highland area as the evenly distributed ice in the accumulation zone moved to lower elevation. The abundant lake basins record this erosive action. The lower part of the glacier system was largely confined to major preexisting river canyons in which melting dominated. The average of rangewide estimates of the equilibrium line altitude (ELA)—the boundary between the upper snow and ice accumulation zone and the lower ablation zone—of many late Pleistocene glaciers parallels, and is only 200–300 m above, the altitude of the lower limit of the lakes. Hence, the lake zone provides a means of estimating the ELA.</p>","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES00891.1","usgsCitation":"Moore, J.G., and Moring, B.C., 2013, Rangewide glaciation in the Sierra Nevada, California: Geosphere, v. 9, no. 6, p. 1804-1818, https://doi.org/10.1130/GES00891.1.","productDescription":"15 p.","startPage":"1804","endPage":"1818","numberOfPages":"15","ipdsId":"IP-053063","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":473485,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00891.1","text":"Publisher Index Page"},{"id":291332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291331,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00891.1"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","volume":"9","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f22ee4b0bc0bec0a0220","contributors":{"authors":[{"text":"Moore, James G. 0000-0002-7543-2401 jmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-7543-2401","contributorId":2892,"corporation":false,"usgs":true,"family":"Moore","given":"James","email":"jmoore@usgs.gov","middleInitial":"G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":497102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moring, Barry C. 0000-0001-6797-9258 moring@usgs.gov","orcid":"https://orcid.org/0000-0001-6797-9258","contributorId":2794,"corporation":false,"usgs":true,"family":"Moring","given":"Barry","email":"moring@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":497101,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70168378,"text":"70168378 - 2013 - Inferring the relative resilience of alternative states","interactions":[],"lastModifiedDate":"2016-02-15T16:33:15","indexId":"70168378","displayToPublicDate":"2013-10-11T17:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Inferring the relative resilience of alternative states","docAbstract":"<p>Ecological systems may occur in alternative states that differ in ecological structures, functions and processes. Resilience is the measure of disturbance an ecological system can absorb before changing states. However, how the intrinsic structures and processes of systems that characterize their states affects their resilience remains unclear. We analyzed time series of phytoplankton communities at three sites in a floodplain in central Spain to assess the dominant frequencies or &ldquo;temporal scales&rdquo; in community dynamics and compared the patterns between a wet and a dry alternative state. The identified frequencies and cross-scale structures are expected to arise from positive feedbacks that are thought to reinforce processes in alternative states of ecological systems and regulate emergent phenomena such as resilience. Our analyses show a higher species richness and diversity but lower evenness in the dry state. Time series modeling revealed a decrease in the importance of short-term variability in the communities, suggesting that community dynamics slowed down in the dry relative to the wet state. The number of temporal scales at which community dynamics manifested, and the explanatory power of time series models, was lower in the dry state. The higher diversity, reduced number of temporal scales and the lower explanatory power of time series models suggest that species dynamics tended to be more stochastic in the dry state. From a resilience perspective our results highlight a paradox: increasing species richness may not necessarily enhance resilience. The loss of cross-scale structure (i.e. the lower number of temporal scales) in community dynamics across sites suggests that resilience erodes during drought. Phytoplankton communities in the dry state are therefore likely less resilient than in the wet state. Our case study demonstrates the potential of time series modeling to assess attributes that mediate resilience. The approach is useful for assessing resilience of alternative states across ecological and other complex systems.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS One","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco","doi":"10.1371/journal.pone.0077338","usgsCitation":"Angeler, D., Allen, C.R., Rojo, C., Alvarez-Cobelas, M., Rodrigo, M.A., and Sanchez-Carrillo, S., 2013, Inferring the relative resilience of alternative states: PLoS ONE, v. 8, no. 10, e77338, https://doi.org/10.1371/journal.pone.0077338.","productDescription":"e77338","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051609","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473486,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0077338","text":"Publisher Index Page"},{"id":318032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","otherGeospatial":"Las Tablas de Daimiel floodplain wetland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -3.2299804687499996,\n              41.73852846935917\n            ],\n            [\n              -1.69189453125,\n              41.77131167976407\n            ],\n            [\n              -1.2744140625,\n              41.36031866306708\n            ],\n            [\n              -1.2744140625,\n              40.78054143186031\n            ],\n            [\n              -2.04345703125,\n              40.094882122321174\n            ],\n            [\n              -3.40576171875,\n              39.65645604812829\n            ],\n            [\n              -4.5263671875,\n              39.06184913429154\n            ],\n            [\n              -6.08642578125,\n              38.87392853923629\n            ],\n            [\n              -7.250976562499999,\n              39.436192999314095\n            ],\n            [\n              -6.6357421875,\n              40.329795743702064\n            ],\n            [\n              -6.08642578125,\n              40.81380923056958\n            ],\n            [\n              -4.482421875,\n              41.343824581185686\n            ],\n            [\n              -3.2299804687499996,\n              41.73852846935917\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-11","publicationStatus":"PW","scienceBaseUri":"56c304c7e4b0946c652087a4","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":620281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rojo, Carmen","contributorId":166885,"corporation":false,"usgs":false,"family":"Rojo","given":"Carmen","email":"","affiliations":[],"preferred":false,"id":620282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alvarez-Cobelas, Miguel","contributorId":166886,"corporation":false,"usgs":false,"family":"Alvarez-Cobelas","given":"Miguel","email":"","affiliations":[],"preferred":false,"id":620283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodrigo, Maria A.","contributorId":166887,"corporation":false,"usgs":false,"family":"Rodrigo","given":"Maria","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":620284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanchez-Carrillo, Salvador","contributorId":166888,"corporation":false,"usgs":false,"family":"Sanchez-Carrillo","given":"Salvador","email":"","affiliations":[],"preferred":false,"id":620285,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048761,"text":"70048761 - 2013 - A model of strength","interactions":[],"lastModifiedDate":"2014-05-30T14:43:23","indexId":"70048761","displayToPublicDate":"2013-10-11T07:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"A model of strength","docAbstract":"In her AAAS News & Notes piece \"Can the Southwest manage its thirst?\" (26 July, p. 362), K. Wren quotes Ajay Kalra, who advocates a particular method for predicting Colorado River streamflow \"because it eschews complex physical climate models for a statistical data-driven modeling approach.\" A preference for data-driven models may be appropriate in this individual situation, but it is not so generally, Data-driven models often come with a warning against extrapolating beyond the range of the data used to develop the models. When the future is like the past, data-driven models can work well for prediction, but it is easy to over-model local or transient phenomena, often leading to predictive inaccuracy (1). Mechanistic models are built on established knowledge of the process that connects the response variables with the predictors, using information obtained outside of an extant data set. One may shy away from a mechanistic approach when the underlying process is judged to be too complicated, but good predictive models can be constructed with statistical components that account for ingredients missing in the mechanistic analysis. Models with sound mechanistic components are more generally applicable and robust than data-driven models.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Science","doi":"10.1126/science.342.6155.192","usgsCitation":"Johnson, D.H., and Cook, R., 2013, A model of strength: Science, v. 342, p. 192-193, https://doi.org/10.1126/science.342.6155.192.","productDescription":"2 p.","startPage":"192","endPage":"193","numberOfPages":"2","ipdsId":"IP-051404","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":285051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285050,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1126/science.342.6155.192"}],"volume":"342","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53558fc0e4b0120853e8be06","contributors":{"authors":[{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":485583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, R.D.","contributorId":6371,"corporation":false,"usgs":true,"family":"Cook","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":485584,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70160888,"text":"70160888 - 2013 - Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data","interactions":[],"lastModifiedDate":"2016-01-04T15:23:01","indexId":"70160888","displayToPublicDate":"2013-10-11T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data","docAbstract":"<p>Magnetic anomalies provide surprising structural detail within the previously undivided Coastal Belt, the westernmost, youngest, and least-metamorphosed part of the Franciscan Complex of northern California. Although the Coastal Belt consists almost entirely of arkosic graywacke and shale of mainly Eocene age, new detailed aeromagnetic data show that it is pervasively marked by long, narrow, and regularly spaced anomalies. These anomalies arise from relatively simple tabular bodies composed principally of magnetic basalt or graywacke confi ned mainly to the top couple of kilometers, even though metamorphic grade indicates that these rocks have been more deeply buried, at depths of 5&ndash;8 km. If true, this implies surprisingly uniform uplift of these rocks. The basalt (and associated Cretaceous limestone) occurs largely in the northern part of the Coastal Belt; the graywacke is recognized only in the southern Coastal Belt and is magnetic because it contains andesitic grains. The magnetic grains were not derived from the basalt, and thus require a separate source. The anomalies defi ne simple patterns that can be related to folding and faulting within the Coastal Belt. This apparent simplicity belies complex structure mapped at outcrop scale, which can be explained if the relatively simple tabular bodies are internally deformed, fault-bounded slabs. One mechanism that can explain the widespread lateral extent of the thin layers of basalt is peeling up of the uppermost part of the oceanic crust into the accretionary prism, controlled by porosity and permeability contrasts caused by alteration in the upper part of the subducting slab. It is not clear, however, how this mechanism might generate fault-bounded layers containing magnetic graywacke. We propose that structural domains defined by anomaly trend, wavelength, and source reflect imbrication and folding during the accretion process and local plate interactions as the Mendocino triple junction migrated north, a hypothesis that should be tested by more detailed structural studies.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES00942.1","usgsCitation":"Langenheim, V., Jachens, R.C., Wentworth, C.M., and McLaughlin, R.J., 2013, Previously unrecognized regional structure of the Coastal Belt of the Franciscan Complex, northern California, revealed by magnetic data: Geosphere, v. 9, p. 1-17, https://doi.org/10.1130/GES00942.1.","productDescription":"18 p.","startPage":"1","endPage":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042733","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":473488,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00942.1","text":"Publisher Index Page"},{"id":313249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coastal Belt of the Franciscan Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.002685546875,\n              41.97582726102573\n            ],\n            [\n              -123.93676757812499,\n              40.70562793820589\n            ],\n            [\n              -123.431396484375,\n              39.26628442213066\n            ],\n            [\n              -122.44262695312501,\n              37.84015683604134\n            ],\n            [\n              -122.6953125,\n              37.83148014503288\n            ],\n            [\n              -123.035888671875,\n              38.09998264736481\n            ],\n            [\n              -123.77197265625,\n              38.90813299596705\n            ],\n            [\n              -123.8818359375,\n              39.842286020743394\n            ],\n            [\n              -124.4091796875,\n              40.23760536584024\n            ],\n            [\n              -124.47509765625,\n              40.65563874006118\n            ],\n            [\n              -124.244384765625,\n              41.03793062246529\n            ],\n            [\n              -124.31030273437499,\n              41.92680320648791\n            ],\n            [\n              -124.002685546875,\n              41.97582726102573\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"568ba5dbe4b0e7594ee776b9","contributors":{"authors":[{"text":"Langenheim, Victoria E. 0000-0003-2170-5213 zulanger@usgs.gov","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":151042,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","email":"zulanger@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jachens, Robert C. jachens@usgs.gov","contributorId":1180,"corporation":false,"usgs":true,"family":"Jachens","given":"Robert","email":"jachens@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wentworth, Carl M. 0000-0003-2569-569X cwent@usgs.gov","orcid":"https://orcid.org/0000-0003-2569-569X","contributorId":1178,"corporation":false,"usgs":true,"family":"Wentworth","given":"Carl","email":"cwent@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":584163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048525,"text":"70048525 - 2013 - Lake shoreline in the contiguous United States: Quantity, distribution and sensitivity to observation resolution","interactions":[],"lastModifiedDate":"2015-12-03T15:06:19","indexId":"70048525","displayToPublicDate":"2013-10-01T14:21:08","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Lake shoreline in the contiguous United States: Quantity, distribution and sensitivity to observation resolution","docAbstract":"<p>1. Quantifying lake biogeochemical processing at broad spatial scales requires that we scale processes along with physical metrics. Past work has primarily scaled lentic processes using estimates of lake surface area. However, many processes important to lakes, such as material, energy and biological fluxes and biogeochemical cycling, scale with lake perimeter. 2. We estimate the total lake perimeter for the contiguous United States (U.S.) and examine the sensitivity of this estimate to measurement resolution. At the original mapping resolution, lakes in the contiguous U.S. have a total perimeter of over 1.8 million km. 3. The change in measured perimeter versus measurement resolution for the contiguous U.S. had a log-log slope (also known as the fractal dimension) of \u00010.21, generally less than previously reported estimates. With changing observation resolution, total measured perimeter was most sensitive to the inclusion or exclusion of small lakes, not shoreline complexity. 4. The total aquatic&ndash;terrestrial interface in lakes is less than one-tenth that of streams and rivers, which collectively account for over 21 million km of shoreline in the contiguous U.S. This study further describes the distribution of lake perimeter and proposes a technique that can contribute to understanding continental-scale processes.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley Online Library","doi":"10.1111/fwb.12258","usgsCitation":"Winslow, L., Read, J.S., Hanson, P.C., and Stanley, E.H., 2013, Lake shoreline in the contiguous United States: Quantity, distribution and sensitivity to observation resolution: Freshwater Biology, 11 p., https://doi.org/10.1111/fwb.12258.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051169","costCenters":[],"links":[{"id":473494,"rank":2,"type":{"id":40,"text":"Open 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