The Smallmouth Bass Micropterus dolomieu fishery in the Susquehanna River basin, Pennsylvania, is one of the most socioeconomically important fisheries in the region and has recently undergone considerable changes. These changes started in 2005, when disease was documented in young-of-the-year (age-0) Smallmouth Bass. Shortly thereafter, declines in abundance of both juveniles and adults were observed. These declines in abundance coincided with disease infections in age-0, intersex in adults, and concerns regarding contaminant exposure. Natural mortality rates, particularly for age-0, increased during this period (2005–2011), and there were concerns for the overall health of this world-class fishery. However, in recent years (2012–2017), there have been decreases in both mortality rates and external observations of disease and increases in abundance across multiple size-classes. Recent changes are encouraging for the future of the Smallmouth Bass fishery in the Susquehanna River. Yet, in light of the ever changing environmental, social, and anthropogenic influences on aquatic ecosystems, there remain concerns for Smallmouth Bass health and management. Because of this, ongoing research efforts are needed to monitor population and health changes and to conduct integrative research that considers complex relationships between organisms and their environments.
","language":"English","publisher":"Wiley","doi":"10.1002/fsh.10491","usgsCitation":"Schall, M., Smith, G., Blazer, V., Walsh, H.L., Li, Y., and Wagner, T., 2020, A fishery after the decline: The Susquehanna River Smallmouth Bass story: Fisheries Magazine, v. 45, no. 11, p. 576-584, https://doi.org/10.1002/fsh.10491.","productDescription":"9 p.","startPage":"576","endPage":"584","ipdsId":"IP-113869","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":395618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Susquehanna River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.629638671875,\n 39.73253798438173\n ],\n [\n -75.95947265625,\n 39.73253798438173\n ],\n [\n -76.102294921875,\n 40.65563874006118\n ],\n [\n -75.498046875,\n 41.3850519497068\n ],\n [\n -76.04736328125,\n 42.01665183556825\n ],\n [\n -77.750244140625,\n 42.01665183556825\n ],\n [\n -77.618408203125,\n 40.371658891506094\n ],\n [\n -76.629638671875,\n 39.73253798438173\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Schall, Megan K.","contributorId":264767,"corporation":false,"usgs":false,"family":"Schall","given":"Megan K.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":833481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Geoffrey D.","contributorId":224595,"corporation":false,"usgs":false,"family":"Smith","given":"Geoffrey D.","affiliations":[{"id":40898,"text":"Pennsylvania Fish & Boat Commission","active":true,"usgs":false}],"preferred":false,"id":833482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":833483,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":833484,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Yan","contributorId":264515,"corporation":false,"usgs":false,"family":"Li","given":"Yan","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":833485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833480,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70211704,"text":"70211704 - 2020 - A global parasite conservation plan","interactions":[],"lastModifiedDate":"2020-10-12T17:14:18.229218","indexId":"70211704","displayToPublicDate":"2020-08-01T08:35:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A global parasite conservation plan","docAbstract":"Found throughout the tree of life and in every ecosystem, parasites are some of the most diverse, ecologically important animals on Earth—but in almost all cases, the least protected by wildlife or ecosystem conservation efforts. For decades, ecologists have been calling for research to understand parasites' important ecological role, and increasingly, to protect as many species from extinction as possible. However, most conservationists still work within priority systems for funding and effort that exclude or ignore parasites, or treat parasites as an obstacle to be overcome. Our working group identified 12 goals for the next decade that could advance parasite biodiversity conservation through an ambitious mix of research, advocacy, and management.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2020.108596","usgsCitation":"Carlson, C.J., Hopkins, S.R., Bell, K.C., Dona, J., Godfrey, S.S., Kwak, M.L., Lafferty, K.D., Moir, M.L., Speer, K., Strona, G., Torchin, M., and Wood, C.L., 2020, A global parasite conservation plan: Biological Conservation, v. 250, 108596, 12 p., https://doi.org/10.1016/j.biocon.2020.108596.","productDescription":"108596, 12 p.","ipdsId":"IP-117834","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":455804,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2020.108596","text":"Publisher Index Page"},{"id":377168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"250","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Colin J.","contributorId":201831,"corporation":false,"usgs":false,"family":"Carlson","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":36267,"text":"Dept of Environmental Science, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":795181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopkins, Skylar R.","contributorId":203515,"corporation":false,"usgs":false,"family":"Hopkins","given":"Skylar","email":"","middleInitial":"R.","affiliations":[{"id":36642,"text":"National Center for Ecological Analysis and Synthesis, Santa Barbara,","active":true,"usgs":false}],"preferred":false,"id":795182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Kayce C","contributorId":237082,"corporation":false,"usgs":false,"family":"Bell","given":"Kayce","email":"","middleInitial":"C","affiliations":[{"id":47595,"text":"Department of Invertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington D.C. 20560, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":795183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dona, Jorge","contributorId":237083,"corporation":false,"usgs":false,"family":"Dona","given":"Jorge","email":"","affiliations":[{"id":47596,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois at Urbana-Champaign, Illinois 61820 U.S.A.","active":true,"usgs":false}],"preferred":false,"id":795184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godfrey, Stephanie S","contributorId":237084,"corporation":false,"usgs":false,"family":"Godfrey","given":"Stephanie","email":"","middleInitial":"S","affiliations":[{"id":47597,"text":"Department of Zoology, University of Otago, Dunedin, New Zealand","active":true,"usgs":false}],"preferred":false,"id":795185,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kwak, Mackenzie L","contributorId":237085,"corporation":false,"usgs":false,"family":"Kwak","given":"Mackenzie","email":"","middleInitial":"L","affiliations":[{"id":47598,"text":"Department of Biological Science, National University of Singapore, Republic of Singapore","active":true,"usgs":false}],"preferred":false,"id":795186,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":795187,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moir, Melinda L","contributorId":237087,"corporation":false,"usgs":false,"family":"Moir","given":"Melinda","email":"","middleInitial":"L","affiliations":[{"id":47599,"text":"Western Australia Department of Primary Industries and Regional Development, South Perth, WA 6151, Australia","active":true,"usgs":false}],"preferred":false,"id":795188,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Speer, Kelly A","contributorId":237088,"corporation":false,"usgs":false,"family":"Speer","given":"Kelly A","affiliations":[{"id":47600,"text":"Richard Gilder Graduate School, American Museum of Natural History, New York 10024, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":795189,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Strona, Giovanni","contributorId":237089,"corporation":false,"usgs":false,"family":"Strona","given":"Giovanni","affiliations":[{"id":47601,"text":"University of Helsinki, Research Centre for Ecological Change, Helsinki, Finland","active":true,"usgs":false}],"preferred":false,"id":795190,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Torchin, Mark","contributorId":237090,"corporation":false,"usgs":false,"family":"Torchin","given":"Mark","affiliations":[{"id":47602,"text":"Smithsonian Tropical Research Institute, Panama","active":true,"usgs":false}],"preferred":false,"id":795191,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wood, Chelsea L.","contributorId":192504,"corporation":false,"usgs":false,"family":"Wood","given":"Chelsea","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":795192,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70216432,"text":"70216432 - 2020 - Three-dimensional shape and structure of the Susitna basin, south-central Alaska, from geophysical data","interactions":[],"lastModifiedDate":"2020-11-18T13:35:24.510584","indexId":"70216432","displayToPublicDate":"2020-08-01T07:30:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional shape and structure of the Susitna basin, south-central Alaska, from geophysical data","docAbstract":"We use gravity, magnetic, seismic reflection, well, and outcrop data to determine the three-dimensional shape and structural features of south-central Alaska’s Susitna basin. This basin is located within the Aleutian-Alaskan convergent margin region and is expected to show effects of regional subduction zone processes. Aeromagnetic data, when filtered to highlight anomalies associated with sources within the upper few kilometers, show numerous linear northeast-trending highs and some linear north-trending highs. Comparisons to seismic reflection and well data show that these highs correspond to areas where late Paleocene to early Eocene volcanic layers have been locally uplifted due to folding and/or faulting. The combined magnetic and seismic reflection data suggest that the linear highs represent northeast-trending folds and north-striking faults. Several lines of evidence suggest that the northeast-trending folds formed during the middle Eocene to early Miocene and may have continued to be active in the Pliocene. The north-striking faults, which in some areas appear to cut the northeast-trending folds, show evidence of Neogene and probable modern movement. Gravity data facilitate estimates of the shape and depth of the basin. This was accomplished by separating the observed gravity anomaly into two components—one representing low-density sedimentary fill within the basin and one representing density heterogeneities within the underlying crystalline basement. We then used the basin anomaly, seismic reflection data, and well data to estimate the depth of the basin. Together, the magnetic, gravity, and reflection seismic analyses reveal an asymmetric basin comprising sedimentary rock over 4 km thick with steep, fault-bounded sides to the southwest, west, and north and a mostly gentle rise toward the east. Relations to the broader tectonic regime are suggested by fold axis orientations within the Susitna basin and neighboring Cook Inlet basin, which are roughly parallel to the easternmost part of the Alaska-Aleutian trench and associated Wadati-Benioff zone as it trends from northeast to north-northeast to northeast. An alignment between forearc basin folds and the subduction zone trench has been observed at other convergent margins, attributed to strain partitioning generated by regional rheologic variations that are associated with the subducting plate and arc magmatism. The asymmetric shape of the basin, especially its gentle rise to the east, may reflect uplift associated with flat-slab subduction of the Yakutat microplate, consistent with previous work that suggested Yakutat influence on the nearby Talkeetna Mountains and western Alaska Range. Yakutat subduction may also have contributed to Neogene and later reverse slip along north-striking faults within the Susitna basin.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02165.1","usgsCitation":"Shah, A.K., Phillips, J., Lewis, K.A., Stanley, R.G., Haeussler, P., and Potter, C.J., 2020, Three-dimensional shape and structure of the Susitna basin, south-central Alaska, from geophysical data: Geosphere, v. 16, no. 4, p. 969-990, https://doi.org/10.1130/GES02165.1.","productDescription":"22 p.","startPage":"969","endPage":"990","ipdsId":"IP-103718","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":455808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02165.1","text":"Publisher Index Page"},{"id":380589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"South Central Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.775390625,\n 57.844750992891\n ],\n [\n -145.634765625,\n 57.844750992891\n ],\n [\n -145.634765625,\n 62.71446210149774\n ],\n [\n -154.775390625,\n 62.71446210149774\n ],\n [\n -154.775390625,\n 57.844750992891\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":805103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Jeffrey 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":127453,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, Kristen A. 0000-0003-4991-3399 klewis@usgs.gov","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":4120,"corporation":false,"usgs":true,"family":"Lewis","given":"Kristen","email":"klewis@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":805105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":805106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":805107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":1026,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":805108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70212896,"text":"70212896 - 2020 - Genomes reveal genetic diversity of Piscine orthoreovirus in farmed and free-ranging salmonids from Canada and USA","interactions":[],"lastModifiedDate":"2020-10-28T15:59:41.808411","indexId":"70212896","displayToPublicDate":"2020-07-31T18:44:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5051,"text":"Virus Evolution","onlineIssn":"2057-1577","active":true,"publicationSubtype":{"id":10}},"title":"Genomes reveal genetic diversity of Piscine orthoreovirus in farmed and free-ranging salmonids from Canada and USA","docAbstract":"Piscine orthoreovirus (PRV-1) is a segmented RNA virus which is commonly found in salmonids in the Atlantic and Pacific Oceans. PRV-1 causes the Heart and Skeletal Muscle Inflammation (HSMI) disease in Atlantic salmon and is associated with several other disease conditions. Previous phylogenetic studies of genome segment 1 (S1) identified four main genogroups of PRV-1 (S1 genogroups I – IV). The goal of the present study was to use Bayesian phylogenetic inference to expand our understanding of the spatial, temporal and host patterns of PRV-1 from the waters of the northeast Pacific. To that end, we determined the coding genome sequences of 14 PRV-1 samples that were selected to improve our knowledge of genetic diversity across a broader temporal, geographic and host range, including the first reported genome sequences from the northwest Atlantic (Eastern Canada). Nucleotide and amino acid sequences of the concatenated genomes and their individual segments revealed that established sequences from the northeast Pacific were monophyletic in all analyses. Bayesian inference phylogenetic trees of S1 sequences using BEAST and MrBayes also found that sequences from the northeast Pacific grouped separately from sequences from other areas. One PRV-1 sample (WCAN_BC17_AS_2017) from an escaped Atlantic salmon, collected in British Columbia but derived from Icelandic broodstock, grouped with other S1 sequences from Iceland. Our concatenated genome and S1 analysis demonstrated that PRV-1 from the northeast Pacific is genetically distinct but descended from PRV-1 from the North Atlantic. However, the analyses were inconclusive as to the timing and exact source of introduction into the northeast Pacific, either from eastern North America or European waters of the North Atlantic. There was no evidence that PRV-1 was evolving differently between free-ranging Pacific Salmon and farmed Atlantic Salmon. The northeast Pacific PRV-1 sequences fall within genogroup II based on the classification of Garseth et al. (2013), which also includes North Atlantic sequences from Eastern Canada, Iceland and Norway. The additional full genome sequences herein strengthen our understanding of phylogeographical patterns related to the northeast Pacific, but a more balanced representation of full PRV-1 genomes from across its range, as well additional sequencing of archived samples, are still needed to better understand global relationships including potential transmission links among regions.
","language":"English","publisher":"Oxford Academic Journals","doi":"10.1093/ve/veaa054","usgsCitation":"Siah, A., Breyta, B.R., Warheit, K.I., Gagne, N., Purcell, M.K., Morrison, D.B., Powell, J.F., and Johnson, S., 2020, Genomes reveal genetic diversity of Piscine orthoreovirus in farmed and free-ranging salmonids from Canada and USA: Virus Evolution, v. 6, no. 2, veaa054, 15 p., https://doi.org/10.1093/ve/veaa054.","productDescription":"veaa054, 15 p.","ipdsId":"IP-118186","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":455811,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ve/veaa054","text":"Publisher Index Page"},{"id":378077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Chile, Norway, United States","otherGeospatial":"Faroe Islands","volume":"6","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Siah, Ahmed","contributorId":149983,"corporation":false,"usgs":false,"family":"Siah","given":"Ahmed","email":"","affiliations":[{"id":17874,"text":"British Columbia Centre for Aquatic Health Sciences, BC Canada","active":true,"usgs":false}],"preferred":false,"id":797785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breyta, B. R.","contributorId":239729,"corporation":false,"usgs":false,"family":"Breyta","given":"B.","email":"","middleInitial":"R.","affiliations":[{"id":47991,"text":"University of Washington, School of Aquatic Fisheries Sciences, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":797786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warheit, K. I.","contributorId":239730,"corporation":false,"usgs":false,"family":"Warheit","given":"K.","email":"","middleInitial":"I.","affiliations":[{"id":47993,"text":"Washington Department of Fish and Wildlife, Olympia WA, USA","active":true,"usgs":false}],"preferred":false,"id":797787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gagne, N","contributorId":239731,"corporation":false,"usgs":false,"family":"Gagne","given":"N","email":"","affiliations":[{"id":47994,"text":"Fisheries & Oceans Canada, Gulf Fisheries Center, Moncton, NB, Canada","active":true,"usgs":false}],"preferred":false,"id":797788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":797789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morrison, Diane B.","contributorId":149984,"corporation":false,"usgs":false,"family":"Morrison","given":"Diane","email":"","middleInitial":"B.","affiliations":[{"id":17875,"text":"Marine Harvest Canada, Campbell River, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":797790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Powell, J. F. F.","contributorId":239732,"corporation":false,"usgs":false,"family":"Powell","given":"J.","email":"","middleInitial":"F. F.","affiliations":[{"id":47996,"text":"British Columbia Centre for Aquatic Health Sciences, Campbell River BC, Canada","active":true,"usgs":false}],"preferred":false,"id":797791,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, S. C.","contributorId":239733,"corporation":false,"usgs":false,"family":"Johnson","given":"S. C.","affiliations":[{"id":47997,"text":"Fisheries & Oceans Canada, Nanaimo, British Columbia, Canada","active":true,"usgs":false}],"preferred":false,"id":797792,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70211518,"text":"sir20205069 - 2020 - Incipient bed-movement and flood-frequency analysis using hydrophones to estimate flushing flows on the upper Colorado River, Colorado, 2019","interactions":[],"lastModifiedDate":"2020-08-05T18:38:22.157905","indexId":"sir20205069","displayToPublicDate":"2020-07-31T18:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5069","displayTitle":"Incipient Bed-Movement and Flood-Frequency Analysis using Hydrophones to Estimate Flushing Flows on the Upper Colorado River, Colorado, 2019","title":"Incipient bed-movement and flood-frequency analysis using hydrophones to estimate flushing flows on the upper Colorado River, Colorado, 2019","docAbstract":"In 2019, the U.S. Geological Survey, in cooperation with the Upper Colorado River Wild and Scenic Stakeholder Group, studied the magnitude and recurrence interval of streamflow (discharge) needed to initiate bed movement of gravel-sized and finer sediment in a segment of the Colorado River in Colorado to better understand sediment movement and its relation to flow regimes of the river. The study area extended from the confluence of the Blue and Colorado Rivers near Kremmling, Colorado, downstream to the confluence of the Eagle and Colorado Rivers near Dotsero, Colo. Bed movement occurred more frequently and at lower streamflows from State Bridge to Catamount Bridge compared to the study area upstream from State Bridge. As a result, the flushing flow was characterized in the study area using two definitions: the “upstream flushing flow” for locations above State Bridge and the “downstream flushing flow” for locations below State Bridge.
Acoustic data from stationary hydrophones continuously deployed in the spring and summer of 2019 and longitudinal hydrophone acoustic profiles manually collected in summer 2019 were used to identify the streamflow needed for incipient gravel-bed movement and establish flushing flows defined for this study. The upstream flushing flow was defined as 3,000 cubic feet per second (ft3/s) at streamgage 09058000 Colorado River near Kremmling, Colo. (the Kremmling streamgage) based on the underwater acoustic data from the downstream location at the Radium stationary site (2,950 ft3/s at the Kremmling streamgage which was rounded to 3,000 ft3/s). The downstream flushing flow was defined as 2,400 ft3/s at the Kremmling streamgage or 3,100 ft3/s at streamgage 09060799 Colorado River at Catamount Bridge, Colo. (the Catamount Bridge streamgage) based on the more conservative streamflow associated with the flushing flow defined using underwater acoustic data from the downstream location at the above Catamount Bridge stationary site (2,310 ft3/s at the Kremmling streamgage which was rounded to 2,400 ft3/s and 3,040 ft3/s at the Catamount Bridge streamgage which was rounded to 3,100 ft3/s).
The annual series of peak-streamflow data at the Kremmling streamgage were used to estimate annual exceedance probability (AEP) streamflows to compare to the flushing flow. Results from the Denver Water Platte and Colorado Simulation Model were used to generate daily peak-streamflows for a future conditions scenario provided for this report. The upstream flushing flow of approximately 3,000 ft3/s at the Kremmling streamgage has an AEP near 0.50 (2-year return period) depending on the period of historical record and an AEP near 0.43 (2.33-year return period) for the future period. The downstream flushing flow of approximately 2,400 ft3/s at the Kremmling streamgage has an AEP near 0.67 (1.5-year return period) depending on the period of historical record and an AEP near 0.67 (1.5-year return period) for the future period.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205069","collaboration":"Prepared in cooperation with the Upper Colorado River Wild and Scenic Stakeholder Group and the Colorado River Water Conservation District","usgsCitation":"Kohn, M.S., Marineau, M.D., Hempel, L.A., and McDonald, R.R., 2020, Incipient bed-movement and flood-frequency analysis using hydrophones to estimate flushing flows on the upper Colorado River, Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2020–5069, 39 p., https://doi.org/10.3133/sir20205069.","productDescription":"Report: viii, 39 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-114386","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":376916,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J5L78O","text":"USGS data release","linkHelpText":"Acoustic, Spatial, and Sediment Size Data Collected on the Upper Colorado River to Estimate the Flushing Flows, Colorado, 2019"},{"id":376851,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5069/sir20205069.pdf","text":"Report","size":"26.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5069"},{"id":376850,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5069/coverthb.jpg"}],"country":"United States","state":"Colorado","county":"Eagle County, Grand County","otherGeospatial":"Upper Colorado 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Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225
The documentation of hybrids between distantly related taxa can illustrate an initial step to explain how genes might move between species that do not exhibit complete reproductive isolation. In birds, some of the most phylogenetically distant hybrid combinations occur between genera. Traditionally, morphological and plumage characters have been used to assign the identity of the parental species of a putative hybrid, although recently, nuclear introns also have been used. Here, we demonstrate how high-throughput short-read DNA sequence data can be used to identify the parentage of a putative intergeneric hybrid, in this case between a blue-winged warbler (Vermivora cyanoptera) and a cerulean warbler (Setophaga cerulea). This hybrid had mitochondrial DNA of a cerulean warbler, indicating the maternal parent. For hundreds of single nucleotide polymorphisms within six regions of the nuclear genome that differentiate blue-winged warblers and golden-winged warblers (Vermivora chrysoptera), the hybrid had roughly equal ancestry assignment to blue-winged and cerulean warblers, suggesting a blue-winged warbler as the paternal parent species and demonstrating that this was a first generation (F1) hybrid between these species. Unlike other recently characterized intergeneric warbler hybrids, this individual hybrid learned to song match its maternal parent species, suggesting that it might have been the result of an extra-pair mating and raised in a cerulean warbler nest.
","language":"English","publisher":"The Linnean Society of London","doi":"10.1093/biolinnean/blaa085","usgsCitation":"Toews, D.P., Kramer, G., Jones, A., Brennan, C.L., Cloud, B.E., Andersen, D.E., Lovette, I., and Streby, H., 2020, Genomic identification of intergeneric hybrids in New World wood-warblers (Aves: Parulidae): Biological Journal of the Linnean Society, v. 131, no. 1, p. 183-191, https://doi.org/10.1093/biolinnean/blaa085.","productDescription":"9 p.","startPage":"183","endPage":"191","ipdsId":"IP-117499","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":455813,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biolinnean/blaa085","text":"Publisher Index Page"},{"id":395918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Toews, David P. 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L.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kramer, Gunnar R.","contributorId":276165,"corporation":false,"usgs":false,"family":"Kramer","given":"Gunnar R.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":834621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Andrew W.","contributorId":276166,"corporation":false,"usgs":false,"family":"Jones","given":"Andrew W.","affiliations":[{"id":56931,"text":"Cleveland Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":834622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brennan, Courtney L.","contributorId":276167,"corporation":false,"usgs":false,"family":"Brennan","given":"Courtney","email":"","middleInitial":"L.","affiliations":[{"id":56931,"text":"Cleveland Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":834623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cloud, Benjamin E.","contributorId":276168,"corporation":false,"usgs":false,"family":"Cloud","given":"Benjamin","email":"","middleInitial":"E.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":834624,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834619,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lovette, Irby J.","contributorId":276169,"corporation":false,"usgs":false,"family":"Lovette","given":"Irby J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":834625,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Streby, Henry","contributorId":276170,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":834626,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70211568,"text":"ofr20201052 - 2020 - Calibration of the U.S. Geological Survey National Crustal Model","interactions":[],"lastModifiedDate":"2020-08-05T18:39:28.395394","indexId":"ofr20201052","displayToPublicDate":"2020-07-31T12:40:00","publicationYear":"2020","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":"2020-1052","displayTitle":"Calibration of the U.S. Geological Survey National Crustal Model","title":"Calibration of the U.S. Geological Survey National Crustal Model","docAbstract":"The U.S. Geological Survey National Crustal Model (NCM) is being developed to include spatially varying estimates of site response in seismic hazard assessments. Primary outputs of the NCM are continuous velocity and density profiles from the Earth’s surface to the mantle transition zone at 410-kilometer (km) depth for each location on a 1-km grid across the conterminous United States. Datasets used to produce the NCM may have a resolution of better than 1 km near the Earth’s surface in some regions, but, with increasing depth, NCM resolution decreases to tens to hundreds of kilometers in the mantle. Basic subsurface information is provided by the NCM geologic framework, thermal model, and petrologic and mineral physics database. In this report, the velocities and densities that can be extracted from the NCM are calibrated through the development of a porosity model based on Biot-Gassmann theory and more than 2,000 compressional- and (or) shear-wave velocity profiles less than 10 km deep from across the conterminous United States and southwestern Canada.
Sediment and rock porosities are derived from shear-wave velocity and are found to depend on effective pressure, rock type, and age (for sedimentary and extrusive volcanic deposits). Porosity-effective pressure functions are then estimated for each rock type (and age for sedimentary and extrusive volcanic deposits). Unconsolidated sediments are found to have higher porosities than consolidated units, which have higher porosities than unweathered igneous units; young sedimentary units (for example, Quaternary age units) tend to have higher porosities than older sedimentary units (for example, pre-Cenozoic age units); porosity decreases with increasing effective pressure; and porosities can decrease quickly through the weathered layer of intrusive rocks.
Comparing two Los Angeles area velocity models and the U.S. Geological Survey Bay Area velocity model with the NCM, the NCM does a better job on average of reproducing observed shear-wave velocities below 1 km per second because it has less bias and uncertainty. Approaching and above 1 km per second, the NCM tends to underpredict observed shear-wave velocity. Whereas several factors could contribute to this, the primary factor is probably bias in the NCM geologic framework. For example, the NCM will predict lower velocities in places where the depth to bedrock and basement appear shallower in the measured velocity profiles than specified in the NCM geologic framework. With regard to observed compressional-wave velocity and density, the NCM has significantly less bias than California models for the former, especially below 2 km per second, and all models tend to overpredict density for densities less than about 2,200 kilograms per cubic meter.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201052","usgsCitation":"Boyd, O.S., 2020, Calibration of the U.S. Geological Survey National Crustal Model: U.S. Geological Survey Open-File Report 2020–1052, 23 p., https://doi.org/10.3133/ofr20201052.","productDescription":"Report: vi, 23 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-115717","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":436847,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NQ5LNU","text":"USGS data release","linkHelpText":"GeoPhys"},{"id":376928,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1052/ofr20201052.pdf","text":"Report","size":"6.30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1052"},{"id":376929,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GO3CP8","text":"USGS 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U.S. Geological Survey
Box 25046, MS-966
Denver, CO 80225-0046
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 10th international conference on gas hydrates (ICGH10)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"US Department of Energy – NETL Program","usgsCitation":"Okinaka, N., Boswell, R., Collett, T., Yamamoto, K., and Anderson, B., 2020, Progress toward the establishment of an extended-duration gas hydrate reservoir response test on the Alaska North Slope, in Proceedings of the 10th international conference on gas hydrates (ICGH10), 2 p.","productDescription":"2 p.","ipdsId":"IP-115391","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":382606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378298,"type":{"id":15,"text":"Index Page"},"url":"https://www.netl.doe.gov/node/10037"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -163.65234374999997,\n 67.55894799883033\n ],\n [\n -143.0419921875,\n 67.55894799883033\n ],\n [\n -143.0419921875,\n 71.55274065141299\n ],\n [\n -163.65234374999997,\n 71.55274065141299\n ],\n [\n -163.65234374999997,\n 67.55894799883033\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Okinaka, Norihiro","contributorId":240094,"corporation":false,"usgs":false,"family":"Okinaka","given":"Norihiro","affiliations":[{"id":17917,"text":"Japan Oil, Gas and Metals National Corporation","active":true,"usgs":false}],"preferred":false,"id":798394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boswell, Ray","contributorId":240095,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":48085,"text":"United States Department of Energy","active":true,"usgs":false}],"preferred":false,"id":798395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220812,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":798396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yamamoto, Koji","contributorId":240096,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Koji","affiliations":[{"id":17917,"text":"Japan Oil, Gas and Metals National Corporation","active":true,"usgs":false}],"preferred":false,"id":798397,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Brian","contributorId":240097,"corporation":false,"usgs":false,"family":"Anderson","given":"Brian","affiliations":[{"id":48085,"text":"United States Department of Energy","active":true,"usgs":false}],"preferred":false,"id":798398,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217064,"text":"70217064 - 2020 - A synthesis of ten years of chemical contaminant monitoring data in National Park Service - Southeast and southwest Alaska networks","interactions":[],"lastModifiedDate":"2021-01-04T18:49:06.717694","indexId":"70217064","displayToPublicDate":"2020-07-31T09:37:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5134,"text":"NOAA Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NOS/MCCOS 277","title":"A synthesis of ten years of chemical contaminant monitoring data in National Park Service - Southeast and southwest Alaska networks","docAbstract":"With the exception of PAHs and trace metals, which were detected at 100% of the sites, all of the other contaminants were detected at varying frequencies. PBBs, Mirex and Endosulfans were not detected in any of the samples and Chlorpyrifos was only detected in five samples across four sites. Chlordanes were present at 79% of the sites while Butyltins were only detected at 20% of the sites. Overall, the majority of the concentrations can be considered to be at background levels when compared to the long-term NOAA National Status and Trends (NS&T) monitoring data for blue mussels nationwide. The relatively high concentrations of cadmium, copper, and nickel in comparison to the NS&T national groups could be a combination of natural inputs and anthropogenic sources. The natural exposure and weathering of rocks in southern Alaska can contribute to elevated background concentrations of these metals. Sample concentrations, compositions and/or trends for Total DDT, Total Dieldrins and Total HCHs suggest that these contaminants are no longer bioaccumulating at detectable levels. Total Butyltin concentrations were low compared to the NS&T national concentrations, but the presence of tributyltin (TBT) in recent years at Sitka Visitor's Center (SITK) and Skagway Harbor (SKWY) indicates that fresh sources of Butyltin are still entering these environments, probably through vessel traffic at these sites. The PAH profiles and higher concentrations at SITK, SKWY and Nahku Bay East Side (NBES) suggest that these sites are receiving anthropogenic sources of PAH contamination.
The results included in this report help to provide a greater understanding of general background contamination in NPS SWAN and SEAN parks, as well as other monitoring sites, including range, trends and variability. Future monitoring should aim to continue analyzing the temporal trends of these contaminants on a regional scale through periodic sampling as well as focusing on areas of interest that could shed further insight on range and variation (see supplemental material).
","language":"English","publisher":"NOAA","doi":"10.25923/dbyq-7z17","usgsCitation":"Rider, M., Apeti, D., Jacob, A., Kimbrough, K.L., Davenport, E., Bower, M.R., Colletti, H.A., and Esler, D., 2020, A synthesis of ten years of chemical contaminant monitoring data in National Park Service - Southeast and southwest Alaska networks: NOAA Technical Memorandum NOS/MCCOS 277, 102 p., https://doi.org/10.25923/dbyq-7z17.","productDescription":"102 p.","ipdsId":"IP-119449","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":381801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -131.2646484375,\n 56.31653672211301\n ],\n [\n -135.5712890625,\n 59.734253447591364\n ],\n [\n -140.537109375,\n 60.673178565817715\n ],\n [\n -141.1962890625,\n 64.66151739623564\n ],\n [\n -144.8876953125,\n 65.31182925383723\n ],\n [\n -160.0927734375,\n 64.14895190024562\n ],\n [\n -166.4208984375,\n 61.60639637138628\n ],\n [\n -161.9384765625,\n 59.0405546167585\n ],\n [\n -157.5,\n 58.60833366077633\n ],\n [\n -164.13574218749997,\n 54.97761367069628\n ],\n [\n -152.75390624999997,\n 57.088515327886505\n ],\n [\n -149.2822265625,\n 59.734253447591364\n ],\n [\n -145.7666015625,\n 60.06484046010452\n ],\n [\n -136.494140625,\n 57.326521225217064\n ],\n [\n -132.8466796875,\n 55.10351605801967\n ],\n [\n -131.2646484375,\n 56.31653672211301\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rider, Mary","contributorId":245991,"corporation":false,"usgs":false,"family":"Rider","given":"Mary","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":807457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Apeti, Dennis","contributorId":245992,"corporation":false,"usgs":false,"family":"Apeti","given":"Dennis","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":807458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jacob, Annie","contributorId":245993,"corporation":false,"usgs":false,"family":"Jacob","given":"Annie","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":807459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kimbrough, Kimani L.","contributorId":139223,"corporation":false,"usgs":false,"family":"Kimbrough","given":"Kimani","email":"","middleInitial":"L.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":807460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davenport, Erik","contributorId":245994,"corporation":false,"usgs":false,"family":"Davenport","given":"Erik","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":807461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bower, Michael R.","contributorId":198632,"corporation":false,"usgs":false,"family":"Bower","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":807462,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Colletti, Heather A","contributorId":199047,"corporation":false,"usgs":false,"family":"Colletti","given":"Heather","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":807527,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false}],"preferred":true,"id":807464,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70220279,"text":"70220279 - 2020 - Quarterly wildlife mortality report July 2020","interactions":[],"lastModifiedDate":"2023-10-13T13:41:12.547149","indexId":"70220279","displayToPublicDate":"2020-07-31T07:53:17","publicationYear":"2020","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":9359,"text":"Wildlife Disease Association Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Quarterly wildlife mortality report July 2020","docAbstract":"The USGS National Wildlife Health Center (NWHC) Quarterly Mortality Report provides brief summaries of epizootic mortality and morbidity events by quarter. The write-ups, highlighting epizootic events and other wildlife disease topics of interest, are published in the Wildlife Disease Association quarterly newsletter. A link is provided in this WDA newsletter to the Wildlife Health Information Sharing Partnership event reporting system (WHISPers) so readers can view associated data.","language":"English","publisher":"Wildlife Disease Association","usgsCitation":"Richards, B.J., Ballmann, A., Bodenstein, B., Dusek, R.J., and Sleeman, J.M., 2020, Quarterly wildlife mortality report July 2020: Wildlife Disease Association Newsletter, p. 12-14.","productDescription":"3 p.","startPage":"12","endPage":"14","ipdsId":"IP-120249","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":385415,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385395,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.wildlifedisease.org/PersonifyEbusiness/Resources/Publications/Newsletter/Archive"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Richards, Bryan J. 0000-0001-9955-2523","orcid":"https://orcid.org/0000-0001-9955-2523","contributorId":219535,"corporation":false,"usgs":true,"family":"Richards","given":"Bryan","email":"","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":814996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":814997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodenstein, Barbara L. 0000-0001-7946-0103 bbodenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":189820,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","email":"bbodenstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":814998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":814999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":815000,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223845,"text":"70223845 - 2020 - Population assessment and potential functional roles of native mussels in the Upper Hudson River","interactions":[],"lastModifiedDate":"2021-09-10T12:34:28.629538","indexId":"70223845","displayToPublicDate":"2020-07-31T07:30:09","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Population Assessment and Potential Functional Roles of Native Mussels in the Upper Hudson River","title":"Population assessment and potential functional roles of native mussels in the Upper Hudson River","docAbstract":"General Electric Company (GE) directly and indirectly released polychlorinated biphenyls (PCBs) into the Hudson River and the surrounding environment starting in the late 1940’s, making it one of the most PCB-contaminated rivers in North America. Source control at two GE plant sites was implemented in 2009 to stem the influx of PCBs into the river (NYSDEC 2004; Farrar 2013; NYSDEC 2015). The Hudson River, like many other rivers, contains populations of native freshwater mussels—a group of animals that perform vital functions in freshwater systems. While there was anecdotal evidence of mussels residing in the Upper Hudson River (north of Troy, NY; GE 2005, GE 2009), quantitative data on mussel assemblages was lacking. Systematic, quantitative surveys for native mussels were completed in 2013 and 2015 in a total of six pools of the Upper Hudson River including one reference pool (Feeder Dam) located upstream of the former GE plant sites and five contaminated pools downstream of the GE plant sites (Thompson Island, Fort Miller, Northumberland, Stillwater, and Upper Mechanicville). Surveys were designed to estimate species composition, relative abundance, population size, population structure, and ecological services (i.e., biomass and filtration) of mussel communities prior to and after remedial actions to remove PCB contaminated sediments (i.e., dredged and subsequently capped or backfilled). In most pools, the experimental design incorporated stratification on remediated (before or after remedial activities were completed) and non-remediated areas.\n... \n\n(access to the full abstract is restricted)","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Hudson River Natural Resource Damage Assessment","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Hudson River Natural Resource Trustees","collaboration":"Hudson River Natural Resource Trustees; National Oceanic and Atmospheric Administration; New York State Department of Environmental Conservation; US Department of the Interior","usgsCitation":"Mayer, D.A., Newton, T., and Rogala, J.T., 2020, Population assessment and potential functional roles of native mussels in the Upper Hudson River, x, 142 p.","productDescription":"x, 142 p.","ipdsId":"IP-094734","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":389053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389046,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/northeast/ecologicalservices/HudsonRiver/docs/Population_Assessment_and_Potential_Functional_Roles_of_Native_Mussels_in_the_Upper_Hudson_River_Finalw.pdf"}],"country":"United States","state":"New York","otherGeospatial":"Upper Hudson River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.992919921875,\n 42.78733853171998\n ],\n [\n -73.564453125,\n 42.78733853171998\n ],\n [\n -73.564453125,\n 43.30119623257966\n ],\n [\n -73.992919921875,\n 43.30119623257966\n ],\n [\n -73.992919921875,\n 42.78733853171998\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mayer, Denise A.","contributorId":140296,"corporation":false,"usgs":false,"family":"Mayer","given":"Denise","email":"","middleInitial":"A.","affiliations":[{"id":13400,"text":"New York State Museum, Cambridge Field Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":822913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, Teresa J. 0000-0001-9351-5852","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":78696,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":822914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rogala, James T. 0000-0002-1954-4097 jrogala@usgs.gov","orcid":"https://orcid.org/0000-0002-1954-4097","contributorId":2651,"corporation":false,"usgs":true,"family":"Rogala","given":"James","email":"jrogala@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":822915,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227404,"text":"70227404 - 2020 - Radiocarbon dating of tsunami and storm deposits","interactions":[],"lastModifiedDate":"2022-01-14T14:13:31.416486","indexId":"70227404","displayToPublicDate":"2020-07-31T07:10:09","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"30","title":"Radiocarbon dating of tsunami and storm deposits","docAbstract":"Radiocarbon age determinations can be an expedient and accurate means to assign age to deposits of tsunami or storm origin. Essential to the process of incorporating radiocarbon age determinations in tsunami or coastal storm investigations is an awareness on the part of the investigator that a sample will always return an age from a laboratory, but only carefully selected samples inform deposit age. Samples that inform deposit age are of two fundamentally different sample types, in-growth-position samples and detrital samples. For both in-growth-position samples and detrital samples, stratigraphic context is the critical information needed to evaluate how well sample age can constrain deposit age. Well constrained deposit ages require bracketing samples collected to provide both maximum and minimum limiting ages for the deposit(s) of interest. Therefore, sampling should be carried out with the intention of multiple sample submissions for age in order to optimize the potential for acquiring closely limiting ages. If there are multiple age determinations within a stratigraphic sequence that contains tsunami or storm deposits, then the calibrated radiocarbon ages can be, and should be, framed within a Bayesian model structure to better constrain deposit ages. Such models can be further improved by the incorporation of independent stratigraphic age information.
The spatial-temporal evolution of intracontinental faults and the forces that drive their style, orientation, and timing are central to understanding tectonic processes. Intracontinental NW-striking dextral faults in the Gabbs Valley–Gillis Ranges (hereafter referred to as the GVGR), Nevada, define a structural domain known as the eastern Central Walker Lane located east of the western margin of the North American plate. To consider how changes in boundary type along the western margin of the North American plate influenced both the initiation and continued dextral fault slip to the present day in the GVGR, we combine our new detailed geologic mapping, structural studies, and 40Ar/39Ar geochronology with published geologic maps to calculate early to middle Miocene dextral fault-slip rates. In the GVGR, Mesozoic basement is nonconformably overlain by a late Oligocene to Miocene sequence dominated by tuffs, lavas, and sedimentary rocks. These rocks are cut and offset by four primary NW-striking dextral faults, from east to west the Petrified Spring, Benton Spring, Gumdrop Hills, and Agai Pah Hills–Indian Head faults. A range of geologic markers, including tuff- and lava-filled paleovalleys, the southern extent of lava flows, and a normal fault, show average dextral offset magnitudes of 9.6 ± 1.1 km, 7.0 ± 1.7 km, 9.7 ± 1.0 km, and 4.9 ± 1.1 km across the four faults, respectively. Cumulative dextral offset across the GVGR is 31.2 ± 2.3 km. Initiation of slip along the Petrified Spring fault is tightly bracketed between 15.99 ± 0.05 Ma and 15.71 ± 0.03 Ma, whereas slip along the other faults initiated after 24.30 ± 0.05 Ma to 20.14 ± 0.26 Ma. Assuming that slip along all four faults initiated at the same time as the Petrified Spring fault yields calculated dextral fault-slip rates of 0.4 ± 0.1–0.6 ± 0.1 mm/yr, 0.4 ± 0.1–0.5 ± 0.1 mm/yr, 0.6 ± 0.1 mm/yr, and 0.3 ± 0.1 mm/yr on the four faults, respectively. Middle Miocene initiation of dextral fault slip across the GVGR overlaps with the onset of normal slip along range-bounding faults in the western Basin and Range to the north and the northern Eastern California shear zone to the south. Based on this spatial-temporal relationship, we propose that dextral fault slip across the GVGR defines a kinematic link or accommodation zone between the two regions of extension. At the time of initiation of dextral slip across the GVGR, the plate-boundary setting to the west was characterized by subduction of the Farallon plate beneath the North American plate. To account for the middle Miocene onset of extension across the Basin and Range and dextral slip in the GVGR, we hypothesize that middle Miocene trench retreat drove westward motion of the Sierra Nevada and behind it, crustal extension across the Basin and Range and NW-dextral shear within the GVGR. During the Pliocene, the plate boundary to the west changed to NW-dextral shear between the Pacific and North American plates, which drove continued dextral slip along the same faults within the GVGR because they were fortuitously aligned subparallel to plate boundary motion.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1130/GES02240.1","usgsCitation":"Lee, J., Hoxey, A., Calvert, A.T., and Dubyoski, P., 2020, Plate boundary trench retreat and dextral shear drive intracontinental fault-slip histories: Neogene dextral faulting across the Gabbs Valley and Gillis Ranges, Central Walker Lane, Nevada: Geosphere, v. 16, no. 5, p. 1249-1275, https://doi.org/10.1130/GES02240.1.","productDescription":"27 p.","startPage":"1249","endPage":"1275","ipdsId":"IP-118599","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":487674,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02240.1","text":"Publisher Index Page"},{"id":482372,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Staes","state":"Nevada","otherGeospatial":"Central Walker Lane, Gabbs Valley, Ranges,","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.19526377053958,\n 38.901098488196595\n ],\n [\n -119.19526377053958,\n 38.00221464328254\n ],\n [\n -117.79785043469002,\n 38.00221464328254\n ],\n [\n -117.79785043469002,\n 38.901098488196595\n ],\n [\n -119.19526377053958,\n 38.901098488196595\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Jeffrey","contributorId":193437,"corporation":false,"usgs":false,"family":"Lee","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":928197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoxey, Andrew K.R.","contributorId":351219,"corporation":false,"usgs":false,"family":"Hoxey","given":"Andrew K.R.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":928198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":928199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubyoski, Peter","contributorId":351220,"corporation":false,"usgs":false,"family":"Dubyoski","given":"Peter","affiliations":[{"id":26935,"text":"Central Washington University","active":true,"usgs":false}],"preferred":false,"id":928200,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70213241,"text":"70213241 - 2020 - The pervasive and multifaceted influence of biocrusts on water in the world’s drylands","interactions":[],"lastModifiedDate":"2020-09-24T16:21:19.257777","indexId":"70213241","displayToPublicDate":"2020-07-30T10:45:59","publicationYear":"2020","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":"The pervasive and multifaceted influence of biocrusts on water in the world’s drylands","docAbstract":"The capture and use of water are critically important in drylands, which collectively constitute Earth's largest biome. Drylands will likely experience lower and more unreliable rainfall as climatic conditions change over the next century. Dryland soils support a rich community of microphytic organisms (biocrusts), which are critically important because they regulate the delivery and retention of water. Yet despite their hydrological significance, a global synthesis of their effects on hydrology is lacking. We synthesized 2,997 observations from 109 publications to explore how biocrusts affected five hydrological processes (times to ponding and runoff, early [sorptivity] and final [infiltration] stages of water flow into soil, and the rate or volume of runoff) and two hydrological outcomes (moisture storage, sediment production). We found that increasing biocrust cover reduced the time for water to pond on the surface (−40%) and commence runoff (−33%), and reduced infiltration (−34%) and sediment production (−68%). Greater biocrust cover had no significant effect on sorptivity or runoff rate/amount, but increased moisture storage (+14%). Infiltration declined most (−56%) at fine scales, and moisture storage was greatest (+36%) at large scales. Effects of biocrust type (cyanobacteria, lichen, moss, mixed), soil texture (sand, loam, clay), and climatic zone (arid, semiarid, dry subhumid) were nuanced. Our synthesis provides novel insights into the magnitude, processes, and contexts of biocrust effects in drylands. This information is critical to improve our capacity to manage dwindling dryland water supplies as Earth becomes hotter and drier.
Botswana’s Okavango Delta is a World Heritage Site and biodiverse wilderness. In 2016–2018, following arrival of the annual flood of rainwater from Angola’s highlands, and using continuous oxygen logging, we documented profound aquatic hypoxia that persisted for 3.5 to 5 months in the river channel. Within these periods, dissolved oxygen rarely exceeded 3 mg/L and dropped below 0.5 mg/L for up to two weeks at a time. Although these dissolved oxygen levels are low enough to qualify parts of the Delta as a dead zone, the region is a biodiversity hotspot, raising the question of how fish survive. In association with the hypoxia, histological samples, collected from native Oreochromis andersonii (threespot tilapia), Coptodon rendalli (redbreast tilapia), and Oreochromis macrochir (greenhead tilapia), exhibited widespread hepatic and splenic inflammation with marked granulocyte infiltration, melanomacrophage aggregates, and ceroid and hemosiderin accumulations. It is likely that direct tissue hypoxia and polycythemia-related iron deposition caused this pathology. We propose that Okavango cichlids respond to extended natural hypoxia by increasing erythrocyte production, but with significant health costs. Our findings highlight seasonal hypoxia as an important recurring stressor, which may limit fishery resilience in the Okavango as concurrent human impacts rise. Moreover, they illustrate how fish might respond to hypoxia elsewhere in the world, where dead zones are becoming more common.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0235667","usgsCitation":"Edwards, T.M., Mosie, I.J., Moore, B.C., Lobjoit, G., Schiavone, K., Bachman, R.E., and Murray-Hudson, M., 2020, Low oxygen: A (tough) way of life for Okavango fishes: PLoS ONE, v. 15, no. 7, e0235667, 23 p., https://doi.org/10.1371/journal.pone.0235667.","productDescription":"e0235667, 23 p.","ipdsId":"IP-108304","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":455818,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0235667","text":"Publisher Index Page"},{"id":378907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Botswana","otherGeospatial":"Okavango Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 21.082763671875,\n -20.184879384574092\n ],\n [\n 24.114990234374996,\n -20.184879384574092\n ],\n [\n 24.114990234374996,\n -18.323240460443387\n ],\n [\n 21.082763671875,\n -18.323240460443387\n ],\n [\n 21.082763671875,\n -20.184879384574092\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Edwards, Thea M. 0000-0002-6176-2872","orcid":"https://orcid.org/0000-0002-6176-2872","contributorId":241635,"corporation":false,"usgs":true,"family":"Edwards","given":"Thea","email":"","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":799801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mosie, Ineelo J.","contributorId":241637,"corporation":false,"usgs":false,"family":"Mosie","given":"Ineelo","email":"","middleInitial":"J.","affiliations":[{"id":48375,"text":"Okavango Research Institute, University of Botswana, Maun, Botswana","active":true,"usgs":false}],"preferred":false,"id":799802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Brandon C.","contributorId":241638,"corporation":false,"usgs":false,"family":"Moore","given":"Brandon","email":"","middleInitial":"C.","affiliations":[{"id":48377,"text":"University of the South, Sewanee, Tennessee","active":true,"usgs":false}],"preferred":false,"id":799803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lobjoit, Guy","contributorId":241639,"corporation":false,"usgs":false,"family":"Lobjoit","given":"Guy","email":"","affiliations":[{"id":48378,"text":"Guma Lagoon Camp, Etsha 13, Botswana","active":true,"usgs":false}],"preferred":false,"id":799804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schiavone, Kelsie","contributorId":241640,"corporation":false,"usgs":false,"family":"Schiavone","given":"Kelsie","email":"","affiliations":[{"id":48377,"text":"University of the South, Sewanee, Tennessee","active":true,"usgs":false}],"preferred":false,"id":799805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bachman, Robert E.","contributorId":241641,"corporation":false,"usgs":false,"family":"Bachman","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":48377,"text":"University of the South, Sewanee, Tennessee","active":true,"usgs":false}],"preferred":false,"id":799806,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murray-Hudson, Mike","contributorId":241642,"corporation":false,"usgs":false,"family":"Murray-Hudson","given":"Mike","email":"","affiliations":[{"id":48375,"text":"Okavango Research Institute, University of Botswana, Maun, Botswana","active":true,"usgs":false}],"preferred":false,"id":799807,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211444,"text":"ofr20201082 - 2020 - seawaveQ—An R package providing a model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables, version 2.0.0","interactions":[],"lastModifiedDate":"2020-08-04T20:24:39.347599","indexId":"ofr20201082","displayToPublicDate":"2020-07-30T09:24:24","publicationYear":"2020","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":"2020-1082","displayTitle":"seawaveQ—An R Package Providing a Model and Utilities for Analyzing Trends in Chemical Concentrations in Streams with a Seasonal Wave (seawave) and Adjustment for Streamflow (Q) and Other Ancillary Variables, Version 2.0.0","title":"seawaveQ—An R package providing a model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables, version 2.0.0","docAbstract":"The seawaveQ R package provides functionality and help to fit a parametric regression model, SEAWAVE-Q, to pesticide concentration data from stream-water samples to assess trends. The model incorporates the strong seasonality and high degree of censoring common in pesticide data, and users can incorporate numerous ancillary variables such as streamflow anomalies. The model is fitted to pesticide data using maximum likelihood methods for censored data and is robust in terms of pesticide, stream location, and degree of censoring of the concentration data. This R package standardizes this methodology for trend analysis, documents the code, and provides help and tutorial information.
In previous investigations, the SEAWAVE-Q model assumed a linear trend across the period analyzed. For short trend periods, this assumption of a linear trend is adequate. However, as the period of record analyzed becomes longer, the assumption of linearity is problematic because of changes in pesticide regulation and use, some of which can be abrupt. In this update to the model, a restricted cubic spline option was added for long trend periods. This option allows for more flexibility in the time component of the model. Bootstrap functionality is included to determine statistical significance. Model results with the new restricted cubic spline option are compared to the linear trend option for two pesticide-site combinations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201082","collaboration":"National Water Quality Program","usgsCitation":"Ryberg, K.R., and York, B.C., 2020, seawaveQ—An R package providing a model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables, version 2.0.0: U.S. Geological Survey Open-File Report 2020–1082, 25 p., https://doi.org/10.3133/ofr20201082.","productDescription":"Report: vi, 25; 3 Appendixes","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-101011","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":376796,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1082/ofr20201082_appendix_1.pdf","text":"Appendix 1.","size":"356 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1082 Appendix 1","linkHelpText":"— Vignette for seawaveQ—An R Package Providing a Model and Utilities for Analyzing Trends in Chemical Concentrations in Streams with a Seasonal Wave (seawave) and Adjustment for Streamflow (Q) and Other Ancillary Variables"},{"id":376797,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1082/ofr20201082_appendix_2.pdf","text":"Appendix 2.","size":"228 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1082 Appendix 2","linkHelpText":"— R Documentation"},{"id":376798,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1082/ofr20201082_appendix_4.pdf","text":"Appendix 4.","size":"1.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1082 Appendix 4","linkHelpText":"— Model Comparisons Using seawaveQ"},{"id":376794,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1082/coverthb.jpg"},{"id":376795,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1082/ofr20201082.pdf","text":"Report","size":"2.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1082"}],"contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503
1608 Mountain View Road
Rapid City, SD
Intraspecific variation in plant traits is a major cause of variation in herbivore feeding and performance. Plant defensive traits change as a plant grows, such that ontogeny may account for a substantial portion of intraspecific trait variation. We tested how the ontogenic stage of an individual plant, of an individual in the context of its neighboring plants, and of a patch of plants with mixed or uniform stages affect plant–herbivore interactions. To do this, we conducted an experimental study of the interactions between Lepidium draba, a perennial brassicaceous weed, and Plutella xylostella, a common herbivore of L. draba. We found that L. draba foliar glucosinolates, secondary metabolites often implicated in defense, decreased in concentration with plant age. In single-stage patches, herbivores performed similarly on L. draba plants of different ages. Furthermore, we found no difference in the cumulative performance of herbivores reared on mixed- or even-staged patches of L. draba. However, in mixed-stage patches, the damage experienced by a focal plant depended on the stage of neighboring plants, suggesting a preference hierarchy of the herbivore among plant stages. In our study, the amount of herbivory depended on the ontogenic neighborhood in which the plant grew. However, from the herbivore’s perspective, variation in plant ontogenic stage was unimportant to its success in terms of feeding rate and final weight.
","language":"English","publisher":"Springer","doi":"10.1007/s00442-020-04702-z","usgsCitation":"Cope, O., Becker, Z., Ode, P.J., Ryan, P., and Pearse, I., 2020, Associational effects of plant ontogeny on damage by a specialist insect herbivore: Oecologia, v. 193, p. 593-602, https://doi.org/10.1007/s00442-020-04702-z.","productDescription":"10 p.","startPage":"593","endPage":"602","ipdsId":"IP-119811","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":436849,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UKSO98","text":"USGS data release","linkHelpText":"Greenhouse observations of plant herbivore interactions on Lepidium draba to test effects of ontogenic variability"},{"id":436848,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UKSO98","text":"USGS data release","linkHelpText":"Greenhouse observations of plant herbivore interactions on Lepidium draba to test effects of ontogenic variability"},{"id":382486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"193","noUsgsAuthors":false,"publicationDate":"2020-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Cope, Olivia 0000-0002-5559-8164","orcid":"https://orcid.org/0000-0002-5559-8164","contributorId":248270,"corporation":false,"usgs":false,"family":"Cope","given":"Olivia","email":"","affiliations":[{"id":49843,"text":"U Wisconsin","active":true,"usgs":false}],"preferred":false,"id":808716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Becker, Zoe","contributorId":248271,"corporation":false,"usgs":false,"family":"Becker","given":"Zoe","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":808717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ode, Paul J.","contributorId":197314,"corporation":false,"usgs":false,"family":"Ode","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":808718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, Paul","contributorId":248272,"corporation":false,"usgs":false,"family":"Ryan","given":"Paul","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":808719,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":808720,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211224,"text":"sir20205055 - 2020 - Estimating streamflow and base flow within the nontidal Chesapeake Bay riverine system","interactions":[],"lastModifiedDate":"2021-07-02T13:31:15.859682","indexId":"sir20205055","displayToPublicDate":"2020-07-30T05:47:08","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5055","displayTitle":"Estimating Streamflow and Base Flow Within the Nontidal Chesapeake Bay Riverine System","title":"Estimating streamflow and base flow within the nontidal Chesapeake Bay riverine system","docAbstract":"Daily mean streamflow was estimated for all the nontidal parts of the Chesapeake Bay riverine system with the Unit Flows in Networks of Channels computer application using measured streamflow at the most downstream gage of selected rivers. The streamflows estimated by the Unit Flows in Networks of Channels computer application were aggregated at the 12-digit Hydrologic Unit Code level, after which base flow was estimated by two hydrograph-separation methods. Based on six sites selected for comparison, modeled streamflows are typically within an order of magnitude of measured streamflows, and monthly mean streamflows are in better agreement than daily streamflows. For the six selected sites, the base-flow values calculated by the two hydrograph-separation methods were compared. The monthly base-flow values also were in better agreement than the daily base-flow values. The modeled data were animated to better visualize spatial and temporal variability of streamflow and base-flow index.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205055","usgsCitation":"Buffington, P.C., and Capel, P.D., 2020, Estimating streamflow and base flow within the nontidal Chesapeake Bay riverine system: U.S. Geological Survey Scientific Investigations Report 2020–5055, 26 p., https://doi.org/10.3133/sir20205055.","productDescription":"Report: v, 26 p.; Figure Animations: Figures 15–18; Data Release","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-098068","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":376516,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"— National Water Information System database"},{"id":376515,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P906K5GZ","text":"USGS data 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National Water-Quality Assessment (NAWQA) Science Team
12201 Sunrise Valley Drive
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Managers are increasingly being asked to integrate climate change adaptation into public land management. The literature discusses a range of adaptation approaches, including managing for resistance, resilience, and transformation; but many strategies have not yet been widely tested. This study employed in-depth interviews and scenario-based focus groups in the Upper Gunnison Basin in Colorado to learn how public land managers envision future ecosystem change, and how they plan to utilize different management approaches in the context of climate adaptation. While many managers evoked the past in thinking about projected climate impacts and potential responses, most managers in this study acknowledged and even embraced (if reluctantly) that many ecosystems will experience regime shifts in the face of climate change. However, accepting that future ecosystems will be different from past ecosystems led managers in different directions regarding how to respond and the appropriate role of management intervention. Some felt management actions should assist and even guide ecosystems toward future conditions. Others were less confident in projections and argued against transformation. Finally, some suggested that resilience could provide a middle path, allowing managers to help ecosystems adapt to change without predicting future ecosystem states. Scalar challenges and institutional constraints also influenced how managers thought about adaptation. Lack of institutional capacity was believed to constrain adaptation at larger scales. Resistance, in particular, was considered impractical at almost any scale due to institutional constraints. Managers negotiated scalar challenges and institutional constraints by nesting different approaches both spatially and temporally.
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However, there is a renewed interest in collaboration across the arts and sciences to support conservation practice by understanding and communicating complex environmental, social, and cultural challenges in novel ways. 6&6 was created as a transdisciplinary art–science initiative to promote a deeper appreciation of the Sonoran Desert. Six artists and six scientists were paired to create work that explored conservation issues in the Sonoran Desert and the Gulf of California. In-depth interviews were conducted with the artists and scientists throughout the 4-year initiative to understand the impact of 6&6 on their personal and professional behaviors and outlook. The findings from this case study reveal the role that intensive, place-based, and transdisciplinary art–science programs can play in shaping narratives to better communicate the patterns and processes of nature and human–environment interactions.
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Helen Street, Room 111, University of Arizona, Tucson, AZ 85721","active":true,"usgs":false}],"preferred":false,"id":796532,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dimmitt, Mark A.","contributorId":238793,"corporation":false,"usgs":false,"family":"Dimmitt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":47781,"text":"Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":796533,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Green, Heather","contributorId":238795,"corporation":false,"usgs":false,"family":"Green","given":"Heather","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":796534,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hedgcock, Charles","contributorId":238797,"corporation":false,"usgs":false,"family":"Hedgcock","given":"Charles","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":796535,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Bemjamin M.","contributorId":238799,"corporation":false,"usgs":false,"family":"Johnson","given":"Bemjamin","email":"","middleInitial":"M.","affiliations":[{"id":47781,"text":"Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":796536,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Maria R.","contributorId":238801,"corporation":false,"usgs":false,"family":"Johnson","given":"Maria","email":"","middleInitial":"R.","affiliations":[{"id":41662,"text":"Corvallis, OR","active":true,"usgs":false}],"preferred":false,"id":796537,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Velo, Kathleen","contributorId":238804,"corporation":false,"usgs":false,"family":"Velo","given":"Kathleen","email":"","affiliations":[{"id":47781,"text":"Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":796538,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilder, Benjamin T. 0000-0002-8593-4835","orcid":"https://orcid.org/0000-0002-8593-4835","contributorId":238807,"corporation":false,"usgs":false,"family":"Wilder","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":796539,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70212745,"text":"70212745 - 2020 - Causes of variability in suspended‐sand concentration evaluated using measurements in the Colorado River in Grand Canyon","interactions":[],"lastModifiedDate":"2020-08-27T16:52:41.907527","indexId":"70212745","displayToPublicDate":"2020-07-29T11:48:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6470,"text":"Journal of Geophysical Research, Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Causes of variability in suspended‐sand concentration evaluated using measurements in the Colorado River in Grand Canyon","docAbstract":"Rivers commonly exhibit substantial variability in suspended‐sand concentration, even at constant water discharge. Here we derive an approach for evaluating how much of this variability arises from mean bed‐sand grain size. We apply this approach to the Colorado River in Grand Canyon, where discharge‐independent concentration of suspended sand varies by more than a factor of 23 (N = 1.4 × 106). Theory predicts that where concentration is controlled by bed‐sand grain size, concentration and grain size in suspension will be inversely correlated (i.e., coarsening of the bed causes suspended sand to become coarser in grain size and lower in concentration). Although the observed correlation is negative, riverbed grain size accounts for only 40% of the variability in concentration. The residuals vary by an order of magnitude; they arise from other processes, such as changes in topography or distribution of sand that cause shear stress to change at constant discharge, changes in the fine tail of bed‐sand grain sizes or changing bedforms. Both bed sand and the other factors influence concentration for durations from less than 1 day to several years. Predictions of concentration based on bed‐sand grain size (N = 4 × 104) are less accurate than predictions based on suspended‐sand grain size, probably because suspended sand is a natural integrator of sand‐transporting processes, giving more weight to those areas of the bed that exchange more sand with the flow. Although the causes of variability vary from one river to another, the approach illustrated here is applicable to any river in which concentration varies at constant water discharge.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JF005226","usgsCitation":"Rubin, D.M., Buscombe, D.D., Wright, S., Topping, D.J., Grams, P.E., Schmidt, J.C., Hazel, J., Kaplinski, M.A., and Tusso, R.B., 2020, Causes of variability in suspended‐sand concentration evaluated using measurements in the Colorado River in Grand Canyon: Journal of Geophysical Research, Earth Surface, v. 125, e2019JF005226, 23 p., https://doi.org/10.1029/2019JF005226.","productDescription":"e2019JF005226, 23 p.","ipdsId":"IP-107060","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":436851,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92Y65R8","text":"USGS data release","linkHelpText":"Measurements of bed grain size on the Colorado River in Grand Canyon National Park, Arizona - 2000 to 2014"},{"id":436850,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92Y65R8","text":"USGS data release","linkHelpText":"Measurements of bed grain size on the Colorado River in Grand Canyon National Park, Arizona - 2000 to 2014"},{"id":377940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.01611328125,\n 35.68853320738875\n ],\n [\n -111.4068603515625,\n 35.68853320738875\n ],\n [\n -111.4068603515625,\n 36.97183825093165\n ],\n [\n -114.01611328125,\n 36.97183825093165\n ],\n [\n -114.01611328125,\n 35.68853320738875\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","noUsgsAuthors":false,"publicationDate":"2020-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Rubin, David M.","contributorId":206587,"corporation":false,"usgs":false,"family":"Rubin","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":32898,"text":"U.C. 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Jr.","contributorId":65211,"corporation":false,"usgs":true,"family":"Hazel","given":"J.E.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":797402,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kaplinski, Matthew A.","contributorId":139210,"corporation":false,"usgs":false,"family":"Kaplinski","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":797403,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tusso, Robert B. 0000-0001-7541-3713 rtusso@usgs.gov","orcid":"https://orcid.org/0000-0001-7541-3713","contributorId":4079,"corporation":false,"usgs":true,"family":"Tusso","given":"Robert","email":"rtusso@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":797404,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70218467,"text":"70218467 - 2020 - Nutrient removal and uptake by native planktonic and biofilm bacterial communities in an anaerobic aquifer","interactions":[],"lastModifiedDate":"2021-03-02T13:01:03.632408","indexId":"70218467","displayToPublicDate":"2020-07-29T10:42:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Nutrient removal and uptake by native planktonic and biofilm bacterial communities in an anaerobic aquifer","docAbstract":"Managed aquifer recharge (MAR) offers a collection of water storage and storage options that have been used by resource managers to mitigate the reduced availability of fresh water. One of these technologies is aquifer storage and recovery (ASR), where surface water is treated then recharged into a storage zone within an existing aquifer for later recovery and discharge into a body of water. During the storage phase of ASR, nutrient concentrations in the recharge water have been shown to decrease due, presumably via the uptake by the native aquifer microbial community. In this study, the native microbial community in an anaerobic carbonate aquifer zone targeted for ASR storage was segregated into planktonic and biofilm communities then challenged with NO3-N, PO4-P, and acetate as dissolved organic carbon (DOC) to determine their respective removal and uptake rates. The planktonic community removed NO3-N at a rate of 0.059 mg L–1d–1, PO4-P at 5.73 × 10–8–1.03 × 10–7 mg L–1d–1 and DOC at 0.015–0.244 mg L–1d–1. The biofilm community was significantly more proficient, removing NO3-N at 0.116 mg L–1d–1 (1.6–9.0 μg m–2d–1), PO4-P at 4.20–5.91 × 10–5 mg L–1d–1 (2.47–9.88 ng m–2d–1) and DOC at 0.301–0.696 mg L–1d–1 (29.0–71.0 μg m–2d–1). Additionally, the PO4-P sorption rate onto the carbonate aquifer matrix ranged from 1.64 × 10–7 to 9.25 × 10–7 mg PO4-P m–2 day–1. These rates were applied to field data collected at an ASR facility in central Florida and from the same aquifer storage zone from which the biofilm communities were grown. With only 10% of the available surface area within the storage zone being colonized by biofilms, typical concentrations of NO3-N, PO4-P, and DOC in the recharged filtered surface waters would be reduced to below detection limits, and by 81.4 and 91.1%, respectively, during a 150 days storage period.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmicb.2020.01765","usgsCitation":"Lisle, J.T., 2020, Nutrient removal and uptake by native planktonic and biofilm bacterial communities in an anaerobic aquifer: Frontiers in Microbiology, v. 11, 1765, 13 p., https://doi.org/10.3389/fmicb.2020.01765.","productDescription":"1765, 13 p.","ipdsId":"IP-111177","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":455831,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2020.01765","text":"Publisher Index Page"},{"id":436853,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EOM5RC","text":"USGS data release","linkHelpText":"Microbial Nutrient Cycling in the Upper Floridan Aquifer"},{"id":436852,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EOM5RC","text":"USGS data release","linkHelpText":"Microbial Nutrient Cycling in the Upper Floridan Aquifer"},{"id":383695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Kissimmee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.87735652923584,\n 27.15044802232913\n ],\n [\n -80.86731433868408,\n 27.15044802232913\n ],\n [\n -80.86731433868408,\n 27.15772232531679\n ],\n [\n -80.87735652923584,\n 27.15772232531679\n ],\n [\n -80.87735652923584,\n 27.15044802232913\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2020-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":811085,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70216379,"text":"70216379 - 2020 - Life at the frozen limit: Microbial carbon metabolism across a Late Pleistocene permafrost chronosequence","interactions":[],"lastModifiedDate":"2020-11-13T15:09:56.965257","indexId":"70216379","displayToPublicDate":"2020-07-29T09:00:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Life at the frozen limit: Microbial carbon metabolism across a Late Pleistocene permafrost chronosequence","docAbstract":"Permafrost is an extreme habitat yet it hosts microbial populations that remain active over millennia. Using permafrost collected from a Pleistocene chronosequence (19 to 33 ka), we hypothesized that the functional genetic potential of microbial communities in permafrost would reflect microbial strategies to metabolize permafrost soluble organic matter (OM) in situ over geologic time. We also hypothesized that changes in the metagenome across the chronosequence would correlate with shifts in carbon chemistry, permafrost age, and paleoclimate at the time of permafrost formation. We combined high-resolution characterization of water-soluble OM by Fourier-transform ion-cyclotron-resonance mass spectrometry (FT-ICR MS), quantification of organic anions in permafrost water extracts, and metagenomic sequencing to better understand the relationships between the molecular-level composition of potentially bioavailable OM, the microbial community, and permafrost age. Both age and paleoclimate had marked effects on both the molecular composition of dissolved OM and the microbial community. The relative abundance of genes associated with hydrogenotrophic methanogenesis, carbohydrate active enzyme families, nominal oxidation state of carbon (NOSC), and number of identifiable molecular formulae significantly decreased with increasing age. In contrast, genes associated with fermentation of short chain fatty acids (SCFAs), the concentration of SCFAs and ammonium all significantly increased with age. We present a conceptual model of microbial metabolism in permafrost based on fermentation of OM and the buildup of organic acids that helps to explain the unique chemistry of ancient permafrost soils. These findings imply long-term in situ microbial turnover of ancient permafrost OM and that this pooled biolabile OM could prime ancient permafrost soils for a larger and more rapid microbial response to thaw compared to younger permafrost soils.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmicb.2020.01753","usgsCitation":"Leewis, M., Berlemont, R., Podgorski, D.C., Srinivas, A., Zito, P., Spencer, R.G., McFarland, J., Douglas, T.A., Conaway, C., Waldrop, M., and Mackelprang, R., 2020, Life at the frozen limit: Microbial carbon metabolism across a Late Pleistocene permafrost chronosequence: Frontiers in Microbiology, v. 11, 1753, 15 p., https://doi.org/10.3389/fmicb.2020.01753.","productDescription":"1753, 15 p.","ipdsId":"IP-114701","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":455834,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2020.01753","text":"Publisher Index Page"},{"id":436855,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P933APLH","text":"USGS data release","linkHelpText":"Microbial Carbon and Nitrogen Metabolism Across a Late Pleistocene Permafrost Chronosequence"},{"id":436854,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P933APLH","text":"USGS data release","linkHelpText":"Microbial Carbon and Nitrogen Metabolism Across a Late Pleistocene Permafrost Chronosequence"},{"id":380506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Fairbanks","otherGeospatial":"Cold Regions Research and Engineering Laboratory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -147.8814697265625,\n 64.82616499475317\n ],\n [\n -147.5148010253906,\n 64.82616499475317\n ],\n [\n -147.5148010253906,\n 64.98807019388211\n ],\n [\n -147.8814697265625,\n 64.98807019388211\n ],\n [\n -147.8814697265625,\n 64.82616499475317\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2020-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Leewis, Mary-Cathrine 0000-0001-6496-8094","orcid":"https://orcid.org/0000-0001-6496-8094","contributorId":244858,"corporation":false,"usgs":true,"family":"Leewis","given":"Mary-Cathrine","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":804829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlemont, Renaud 0000-0001-9243-5092","orcid":"https://orcid.org/0000-0001-9243-5092","contributorId":244872,"corporation":false,"usgs":false,"family":"Berlemont","given":"Renaud","email":"","affiliations":[{"id":34411,"text":"California State University Long Beach","active":true,"usgs":false}],"preferred":false,"id":804830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":804831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Srinivas, Archana","contributorId":244875,"corporation":false,"usgs":false,"family":"Srinivas","given":"Archana","email":"","affiliations":[{"id":49006,"text":"Department of Biology, California State University Northridge, Northridge, CA, USA","active":true,"usgs":false}],"preferred":false,"id":804832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zito, Phoebe","contributorId":206101,"corporation":false,"usgs":false,"family":"Zito","given":"Phoebe","email":"","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":804833,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spencer, Robert G. 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M.","affiliations":[{"id":47686,"text":"Department of Earth, Ocean and Atmospheric Science, Florida State University","active":true,"usgs":false}],"preferred":false,"id":804834,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McFarland, Jack 0000-0001-9672-8597","orcid":"https://orcid.org/0000-0001-9672-8597","contributorId":214819,"corporation":false,"usgs":true,"family":"McFarland","given":"Jack","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":804835,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Douglas, Thomas A. 0000-0003-1314-1905","orcid":"https://orcid.org/0000-0003-1314-1905","contributorId":64553,"corporation":false,"usgs":false,"family":"Douglas","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":33087,"text":"Cold Regions Research and Engineering Laboratory","active":true,"usgs":false}],"preferred":true,"id":804836,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":804837,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Waldrop, Mark 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":216758,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","affiliations":[],"preferred":true,"id":804838,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mackelprang, Rachel","contributorId":200882,"corporation":false,"usgs":false,"family":"Mackelprang","given":"Rachel","email":"","affiliations":[{"id":7080,"text":"California State University, Northridge","active":true,"usgs":false}],"preferred":false,"id":804839,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70220672,"text":"70220672 - 2020 - Pulsed Mesozoic deformation in the Cordilleran hinterland and evolution of the Nevadaplano: Insights from the Pequop Mountains, NE Nevada","interactions":[],"lastModifiedDate":"2021-05-25T13:00:03.956533","indexId":"70220672","displayToPublicDate":"2020-07-29T07:54:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Pulsed Mesozoic deformation in the Cordilleran hinterland and evolution of the Nevadaplano: Insights from the Pequop Mountains, NE Nevada","docAbstract":"Mesozoic crustal shortening in the North American Cordillera’s hinterland was related to the construction of the Nevadaplano orogenic plateau. Petrologic and geochemical proxies in Cordilleran core complexes suggest substantial Late Cretaceous crustal thickening during plateau construction. In eastern Nevada, geobarometry from the Snake Range and Ruby Mountains-East Humboldt Range-Wood Hills-Pequop Mountains (REWP) core complexes suggests that the ~10–12 km thick Neoproterozoic-Triassic passive-margin sequence was buried to great depths (>30 km) during Mesozoic shortening and was later exhumed to the surface via high-magnitude Cenozoic extension. Deep regional burial is commonly reconciled with structural models involving cryptic thrust sheets, such as the hypothesized Windermere thrust in the REWP. We test the viability of deep thrust burial by examining the least-deformed part of the REWP in the Pequop Mountains. Observations include a compilation of new and published peak temperature estimates (