{"pageNumber":"560","pageRowStart":"13975","pageSize":"25","recordCount":184828,"records":[{"id":70218827,"text":"70218827 - 2021 - A multiproxy database of western North American Holocene paleoclimate records","interactions":[],"lastModifiedDate":"2023-08-23T14:49:34.683705","indexId":"70218827","displayToPublicDate":"2020-09-30T07:05:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"A multiproxy database of western North American Holocene paleoclimate records","docAbstract":"

Holocene climate reconstructions are useful for understanding the diverse features and spatial heterogeneity of past and future climate change. Here we present a database of western North American Holocene paleoclimate records. The database gathers paleoclimate time series from 184 terrestrial and marine sites, including 381 individual proxy records. The records span at least 4000 of the last 12 000 years (median duration of 10 725 years) and have been screened for resolution, chronologic control, and climate sensitivity. Records were included that reflect temperature, hydroclimate, or circulation features. The database is shared in the machine readable Linked Paleo Data (LiPD) format and includes geochronologic data for generating site-level time-uncertain ensembles. This publicly accessible and curated collection of proxy paleoclimate records will have wide research applications, including, for example, investigations of the primary features of ocean–atmospheric circulation along the eastern margin of the North Pacific and the latitudinal response of climate to orbital changes. The database is available for download at https://doi.org/10.6084/m9.figshare.12863843.v1 (Routson and McKay, 2020).

","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-13-1613-2021","usgsCitation":"Routson, C.C., Kaufman, D.S., McKay, N.P., Erb, M., Arcusa, S.H., Brown, K., Kirby, M.E., Marsicek, J., Anderson, R.S., Jimenez-Moreno, G., Rodysill, J.R., Lachniet, M.S., Fritz, S.C., Bennett, J., Goman, M.F., Metcalfe, S.E., Galloway, J.M., Schoups, G., Wahl, D., Morris, J.L., Staines-Urias, F., Dawson, A., Shuman, B.N., Gavin, D.G., Munroe, J.S., and Cumming, B.F., 2021, A multiproxy database of western North American Holocene paleoclimate records: Earth System Science Data, v. 13, p. 1613-1632, https://doi.org/10.5194/essd-13-1613-2021.","productDescription":"20 p.","startPage":"1613","endPage":"1632","ipdsId":"IP-121927","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":454416,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/essd-13-1613-2021","text":"Publisher Index Page"},{"id":384408,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2021-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Routson, Cody C. 0000-0001-8694-7809","orcid":"https://orcid.org/0000-0001-8694-7809","contributorId":187600,"corporation":false,"usgs":false,"family":"Routson","given":"Cody","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":812310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaufman, Darrell S. 0000-0002-7572-1414","orcid":"https://orcid.org/0000-0002-7572-1414","contributorId":28308,"corporation":false,"usgs":true,"family":"Kaufman","given":"Darrell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":812344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKay, Nicholas P. 0000-0003-3598-5113","orcid":"https://orcid.org/0000-0003-3598-5113","contributorId":7612,"corporation":false,"usgs":true,"family":"McKay","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":812345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erb, Michael 0000-0002-1187-952X","orcid":"https://orcid.org/0000-0002-1187-952X","contributorId":220669,"corporation":false,"usgs":false,"family":"Erb","given":"Michael","email":"","affiliations":[{"id":40222,"text":"School or Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":812346,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arcusa, S. H. 0000-0003-0694-9623","orcid":"https://orcid.org/0000-0003-0694-9623","contributorId":255421,"corporation":false,"usgs":false,"family":"Arcusa","given":"S.","email":"","middleInitial":"H.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":812347,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Kendrick","contributorId":255444,"corporation":false,"usgs":false,"family":"Brown","given":"Kendrick","email":"","affiliations":[],"preferred":false,"id":812348,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirby, Matthew E.","contributorId":200294,"corporation":false,"usgs":false,"family":"Kirby","given":"Matthew","email":"","middleInitial":"E.","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":812349,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marsicek, Jeremiah","contributorId":197081,"corporation":false,"usgs":false,"family":"Marsicek","given":"Jeremiah","email":"","affiliations":[],"preferred":false,"id":812350,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anderson, R. Scott","contributorId":47041,"corporation":false,"usgs":true,"family":"Anderson","given":"R.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":812351,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jimenez-Moreno, Gonzalo 0000-0001-7185-8686","orcid":"https://orcid.org/0000-0001-7185-8686","contributorId":127413,"corporation":false,"usgs":false,"family":"Jimenez-Moreno","given":"Gonzalo","email":"","affiliations":[],"preferred":false,"id":812352,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rodysill, Jessica R. 0000-0002-3602-7227 jrodysill@usgs.gov","orcid":"https://orcid.org/0000-0002-3602-7227","contributorId":207577,"corporation":false,"usgs":true,"family":"Rodysill","given":"Jessica","email":"jrodysill@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":812353,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lachniet, M. S. 0000-0001-5250-0144","orcid":"https://orcid.org/0000-0001-5250-0144","contributorId":255430,"corporation":false,"usgs":false,"family":"Lachniet","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":40182,"text":"University of Nevada Las Vegas","active":true,"usgs":false}],"preferred":false,"id":812354,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fritz, Sherilyn C.","contributorId":30155,"corporation":false,"usgs":true,"family":"Fritz","given":"Sherilyn","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":812355,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Bennett, Joseph","contributorId":203187,"corporation":false,"usgs":false,"family":"Bennett","given":"Joseph","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":812356,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Goman, Michelle F.","contributorId":255445,"corporation":false,"usgs":false,"family":"Goman","given":"Michelle","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":812357,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Metcalfe, Sarah E.","contributorId":103555,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":812358,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Galloway, J. M. 0000-0002-4548-6396","orcid":"https://orcid.org/0000-0002-4548-6396","contributorId":255437,"corporation":false,"usgs":false,"family":"Galloway","given":"J.","email":"","middleInitial":"M.","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":812359,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Schoups, G.","contributorId":255438,"corporation":false,"usgs":false,"family":"Schoups","given":"G.","affiliations":[{"id":17614,"text":"Delft University of Technology","active":true,"usgs":false}],"preferred":false,"id":812360,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Wahl, David 0000-0002-0451-3554","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":206113,"corporation":false,"usgs":true,"family":"Wahl","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":812361,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Morris, Jesse L.","contributorId":44829,"corporation":false,"usgs":true,"family":"Morris","given":"Jesse","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":812362,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Staines-Urias, F.","contributorId":255440,"corporation":false,"usgs":false,"family":"Staines-Urias","given":"F.","email":"","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":812363,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Dawson, A.","contributorId":255441,"corporation":false,"usgs":false,"family":"Dawson","given":"A.","email":"","affiliations":[{"id":40107,"text":"Mount Royal University","active":true,"usgs":false}],"preferred":false,"id":812364,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Shuman, B. N.","contributorId":255442,"corporation":false,"usgs":false,"family":"Shuman","given":"B.","email":"","middleInitial":"N.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":812365,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Gavin, Daniel G.","contributorId":98213,"corporation":false,"usgs":true,"family":"Gavin","given":"Daniel","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":812366,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Munroe, Jeffrey S.","contributorId":24175,"corporation":false,"usgs":false,"family":"Munroe","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":880956,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Cumming, Brian F.","contributorId":172514,"corporation":false,"usgs":false,"family":"Cumming","given":"Brian","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":880957,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70220134,"text":"70220134 - 2021 - Moderate susceptibility to subcutaneous plague (Yersinia pestis) challenge in vaccine-treated and untreated Sonoran deer mice (Peromyscus maniculatus sonoriensis) and northern grasshopper mice (Onychomys leucogaster)","interactions":[],"lastModifiedDate":"2022-01-24T16:03:19.959223","indexId":"70220134","displayToPublicDate":"2020-09-29T06:54:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Moderate susceptibility to subcutaneous plague (Yersinia pestis) challenge in vaccine-treated and untreated Sonoran Deer Mice (Peromyscus maniculatus sonoriensis) and Northern Grasshopper Mice (Onychomys leucogaster)","title":"Moderate susceptibility to subcutaneous plague (Yersinia pestis) challenge in vaccine-treated and untreated Sonoran deer mice (Peromyscus maniculatus sonoriensis) and northern grasshopper mice (Onychomys leucogaster)","docAbstract":"

The variable response of wild mice to Yersinia pestis infection, the causative agent of plague, has generated much speculation concerning their role in the ecology of this potentially lethal disease. Researchers have questioned the means by which Y. pestis is maintained in nature and also sought methods for managing the disease. Here we assessed the efficacy of a new tool, the sylvatic plague vaccine (SPV), in wild-caught northern grasshopper mice (Onychomys leucogaster) and commercially acquired Sonoran deer mice (Peromyscus maniculatus sonoriensis). More than 40% of the animals survived a subcutaneous Y. pestis challenge of 175,000 colony forming units (over 30,000 times the white mouse 50% lethal dose) in both vaccine-treated and control groups. Our results indicate that SPV distribution is unlikely to protect adult mice from plague infection in field settings and corroborate the heterogeneous response to Y. pestis infection in mice reported by others.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-20-00122","usgsCitation":"Bron, G., Smith, S., Williamson, J.L., Tripp, D.W., and Rocke, T.E., 2021, Moderate susceptibility to subcutaneous plague (Yersinia pestis) challenge in vaccine-treated and untreated Sonoran deer mice (Peromyscus maniculatus sonoriensis) and northern grasshopper mice (Onychomys leucogaster): Journal of Wildlife Diseases, v. 57, no. 3, p. 632-636, https://doi.org/10.7589/JWD-D-20-00122.","productDescription":"5 p.","startPage":"632","endPage":"636","ipdsId":"IP-122718","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":385242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bron, Gebbiena","contributorId":170006,"corporation":false,"usgs":false,"family":"Bron","given":"Gebbiena","affiliations":[{"id":25647,"text":"University of Wisconsin - Madison, School of Veterinary Medicine, Department of 4 Pathobiological Sciences","active":true,"usgs":false}],"preferred":false,"id":814557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Susan 0000-0001-6478-5028 susansmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6478-5028","contributorId":139497,"corporation":false,"usgs":true,"family":"Smith","given":"Susan","email":"susansmith@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":814558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Judy L. 0000-0001-7110-1632 jwilliamson@usgs.gov","orcid":"https://orcid.org/0000-0001-7110-1632","contributorId":3647,"corporation":false,"usgs":true,"family":"Williamson","given":"Judy","email":"jwilliamson@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":814814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tripp, Daniel W.","contributorId":17910,"corporation":false,"usgs":false,"family":"Tripp","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":13449,"text":"Colorado Division of Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":814559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":814560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70216747,"text":"70216747 - 2021 - The influence of legacy contamination on the transport and bioaccumulation of mercury within the Mobile River Basin","interactions":[],"lastModifiedDate":"2020-12-04T15:01:36.439744","indexId":"70216747","displayToPublicDate":"2020-09-28T08:52:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"The influence of legacy contamination on the transport and bioaccumulation of mercury within the Mobile River Basin","docAbstract":"

Past industrial use and subsequent release of mercury (Hg) into the environment have resulted in severe cases of legacy contamination that still influence contemporary Hg levels in biota. While the bioaccumulation of legacy Hg is commonly assessed via concentration measurements within fish tissue, this practice becomes difficult in regions of high productivity and methylmercury (MeHg) production, like the Mobile River Basin, Alabama in the southeastern United States. This study applied Hg stable isotope tracers to distinguish legacy Hg from regional deposition sources in sediments, waters, and fish within the Mobile River. Sediments and waters displayed differences in δ202Hg between industrial and background sites, which corresponded to drastic differences in Hg concentration. Sites that were affected by legacy Hg, as defined by δ202Hg, produced largemouth bass with lower MeHg content (59–70%) than those captured in the main rivers (>85%). Direct measurements of Hg isotopes and mathematical estimates of MeHg isotope pools in fish displayed similar distinctions between legacy and watershed sources as observed in other matrices. These results indicate that legacy Hg can accumulate directly into fish tissue as the inorganic species and may also be available for methylation within contaminated zones decades after the initial release.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2020.124097","usgsCitation":"Janssen, S., Tate, M., Krabbenhoft, D.P., DeWild, J.F., Ogorek, J.M., Babiarz, C.L., Sowers, A., and Tuttle, P.L., 2021, The influence of legacy contamination on the transport and bioaccumulation of mercury within the Mobile River Basin: Journal of Hazardous Materials, v. 404, 124097, 10 p., https://doi.org/10.1016/j.jhazmat.2020.124097.","productDescription":"124097, 10 p.","ipdsId":"IP-122100","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":454419,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhazmat.2020.124097","text":"Publisher Index Page"},{"id":436661,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S30YH9","text":"USGS data release","linkHelpText":"Mercury source identification in the Mobile and Tombigbee Rivers"},{"id":436660,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S30YH9","text":"USGS data release","linkHelpText":"Mercury source identification in the Mobile and Tombigbee Rivers"},{"id":380975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.1817626953125,\n 30.415519081811507\n ],\n [\n -87.57202148437499,\n 30.415519081811507\n ],\n [\n -87.57202148437499,\n 31.81689688674699\n ],\n [\n -88.1817626953125,\n 31.81689688674699\n ],\n [\n -88.1817626953125,\n 30.415519081811507\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"404","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":806045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806046,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":806047,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Babiarz, Christopher L. 0000-0002-6973-2387","orcid":"https://orcid.org/0000-0002-6973-2387","contributorId":213065,"corporation":false,"usgs":true,"family":"Babiarz","given":"Christopher","email":"","middleInitial":"L.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":806048,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sowers, Anthony 0000-0002-9654-5341","orcid":"https://orcid.org/0000-0002-9654-5341","contributorId":222872,"corporation":false,"usgs":false,"family":"Sowers","given":"Anthony","email":"","affiliations":[{"id":40611,"text":"U.S. Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":806049,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tuttle, Peter L.","contributorId":201911,"corporation":false,"usgs":false,"family":"Tuttle","given":"Peter","email":"","middleInitial":"L.","affiliations":[{"id":36286,"text":"USFWS DWH NRDAR Field Office, Fairhope, AL","active":true,"usgs":false}],"preferred":false,"id":806050,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70216786,"text":"70216786 - 2021 - Elucidating controls on cyanobacteria bloom timing and intensity via Bayesian mechanistic modeling","interactions":[],"lastModifiedDate":"2020-12-07T15:10:38.473531","indexId":"70216786","displayToPublicDate":"2020-09-24T09:08:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Elucidating controls on cyanobacteria bloom timing and intensity via Bayesian mechanistic modeling","docAbstract":"

The adverse impacts of harmful algal blooms (HABs) are increasing worldwide. Lake Erie is a North American Great Lake highly affected by cultural eutrophication and summer cyanobacterial HABs. While phosphorus loading is a known driver of bloom size, more nuanced yet crucial questions remain. For example, it is unclear what mechanisms are primarily responsible for initiating cyanobacterial dominance and subsequent biomass accumulation. To address these questions, we develop a mechanistic model describing June–October dynamics of chlorophyll a, nitrogen, and phosphorus near the Maumee River outlet, where blooms typically initiate and are most severe. We calibrate the model to a new, geostatistically-derived dataset of daily water quality spanning 2008–2017. A Bayesian framework enables us to embed prior knowledge on system characteristics and test alternative model formulations. Overall, the best model formulation explains 42% of the variability in chlorophyll a and 83% of nitrogen, and better captures bloom timing than previous models. Our results, supported by cross validation, show that onset of the major midsummer bloom is associated with about a month of water temperatures above 20 °C (occurring 19 July to 6 August), consistent with when cyanobacteria dominance is usually reported. Decreased phytoplankton loss rate is the main factor enabling biomass accumulation, consistent with reduced zooplankton grazing on cyanobacteria. The model also shows that phosphorus limitation is most severe in August, and nitrogen limitation tends to occur in early autumn. Our results highlight the role of temperature in regulating bloom initiation and subsequent loss rates, and suggest that a 2 °C increase could lead to blooms that start about 10 days earlier and grow 23% more intense.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.142487","usgsCitation":"Del Giudice, D., Fang, S., Scavia, D., Davis, T.W., Evans, M.A., and Obenour, D.R., 2021, Elucidating controls on cyanobacteria bloom timing and intensity via Bayesian mechanistic modeling: Science of the Total Environment, v. 755, no. Part 1, 142487, 12 p., https://doi.org/10.1016/j.scitotenv.2020.142487.","productDescription":"142487, 12 p.","ipdsId":"IP-117829","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":381027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.63616943359375,\n 41.59285100004952\n ],\n [\n -83.29010009765625,\n 41.59285100004952\n ],\n [\n -83.29010009765625,\n 41.806125492238664\n ],\n [\n -83.63616943359375,\n 41.806125492238664\n ],\n [\n -83.63616943359375,\n 41.59285100004952\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"755","issue":"Part 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Del Giudice, Dario","contributorId":245471,"corporation":false,"usgs":false,"family":"Del Giudice","given":"Dario","email":"","affiliations":[{"id":49201,"text":"Department of Civil, Construction & Environmental Engineering, NC State University, Raleigh, NC 27695, USA","active":true,"usgs":false}],"preferred":false,"id":806250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fang, Shiqi","contributorId":218250,"corporation":false,"usgs":false,"family":"Fang","given":"Shiqi","email":"","affiliations":[{"id":39784,"text":"Department of Civil, Construction, & Environmental Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":806251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scavia, Donald","contributorId":200340,"corporation":false,"usgs":false,"family":"Scavia","given":"Donald","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":806252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Timothy W.","contributorId":169289,"corporation":false,"usgs":false,"family":"Davis","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":6637,"text":"National Oceanic and Atmospheric Administration, Northwest Fisheries Science Center, 2725 Montlake Blvd E, Seattle, WA 98112","active":true,"usgs":false}],"preferred":false,"id":806253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Obenour, Daniel R","contributorId":218256,"corporation":false,"usgs":false,"family":"Obenour","given":"Daniel","email":"","middleInitial":"R","affiliations":[{"id":39784,"text":"Department of Civil, Construction, & Environmental Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":806255,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217577,"text":"70217577 - 2021 - Negative effects of an allelopathic invader on AM fungal plant species drive community‐level responses","interactions":[],"lastModifiedDate":"2021-01-25T12:43:09.674644","indexId":"70217577","displayToPublicDate":"2020-09-24T07:05:04","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Negative effects of an allelopathic invader on AM fungal plant species drive community‐level responses","docAbstract":"

The mechanisms causing invasive species impact are rarely empirically tested, limiting our ability to understand and predict subsequent changes in invaded plant communities. Invader disruption of native mutualistic interactions is a mechanism expected to have negative effects on native plant species. Specifically, disruption of native plant‐fungal mutualisms may provide non‐mycorrhizal plant invaders an advantage over mycorrhizal native plants. Invasive Alliaria petiolata (garlic mustard) produces secondary chemicals toxic to soil microorganisms including mycorrhizal fungi, and is known to induce physiological stress and reduce population growth rates of native forest understory plant species. Here, we report on a 11‐yr manipulative field experiment in replicated forest plots testing if the effects of removal of garlic mustard on the plant community support the mutualism disruption hypothesis within the entire understory herbaceous community. We compare community responses for two functional groups: the mycorrhizal vs. the non‐mycorrhizal plant communities. Our results show that garlic mustard weeding alters the community composition, decreases community evenness, and increases the abundance of understory herbs that associate with mycorrhizal fungi. Conversely, garlic mustard has no significant effects on the non‐mycorrhizal plant community. Consistent with the mutualism disruption hypothesis, our results demonstrate that allelochemical producing invaders modify the plant community by disproportionately impacting mycorrhizal plant species. We also demonstrate the importance of incorporating causal mechanisms of biological invasion to elucidate patterns and predict community‐level responses.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3201","usgsCitation":"Roche, M., Pearse, I., Bialic-Murphy, L., Kivlin, S.N., Sofaer, H., and Kalisz, S., 2021, Negative effects of an allelopathic invader on AM fungal plant species drive community‐level responses: Ecology, v. 102, no. 1, e03201, 12 p., https://doi.org/10.1002/ecy.3201.","productDescription":"e03201, 12 p.","ipdsId":"IP-118543","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":454423,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.3201","text":"Publisher Index Page"},{"id":436663,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VP7BFU","text":"USGS data release","linkHelpText":"Data on the impacts of garlic mustard from a weeding experiment in Pennsylvania 2006-2016"},{"id":436662,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VP7BFU","text":"USGS data release","linkHelpText":"Data on the impacts of garlic mustard from a weeding experiment in Pennsylvania 2006-2016"},{"id":382484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Roche, Morgan 0000-0002-2276-3944","orcid":"https://orcid.org/0000-0002-2276-3944","contributorId":248273,"corporation":false,"usgs":false,"family":"Roche","given":"Morgan","affiliations":[{"id":49844,"text":"U Tennessee","active":true,"usgs":false}],"preferred":false,"id":808724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":808725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bialic-Murphy, Lalasia 0000-0001-6046-8316","orcid":"https://orcid.org/0000-0001-6046-8316","contributorId":248274,"corporation":false,"usgs":false,"family":"Bialic-Murphy","given":"Lalasia","email":"","affiliations":[{"id":49844,"text":"U Tennessee","active":true,"usgs":false}],"preferred":false,"id":808726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kivlin, Stephanie N 0000-0003-2442-7773","orcid":"https://orcid.org/0000-0003-2442-7773","contributorId":248275,"corporation":false,"usgs":false,"family":"Kivlin","given":"Stephanie","email":"","middleInitial":"N","affiliations":[{"id":49844,"text":"U Tennessee","active":true,"usgs":false}],"preferred":false,"id":808727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sofaer, Helen R. 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":808728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalisz, Susan 0000-0002-1761-5752","orcid":"https://orcid.org/0000-0002-1761-5752","contributorId":248276,"corporation":false,"usgs":false,"family":"Kalisz","given":"Susan","email":"","affiliations":[{"id":49844,"text":"U Tennessee","active":true,"usgs":false}],"preferred":false,"id":808729,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223267,"text":"70223267 - 2021 - Leveraging deep learning in global 24/7 real-time earthquake monitoring at the National Earthquake Information Center","interactions":[],"lastModifiedDate":"2021-08-19T16:05:23.41401","indexId":"70223267","displayToPublicDate":"2020-09-23T11:01:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging deep learning in global 24/7 real-time earthquake monitoring at the National Earthquake Information Center","docAbstract":"

Machine‐learning algorithms continue to show promise in their application to seismic processing. The U.S. Geological Survey National Earthquake Information Center (NEIC) is exploring the adoption of these tools to aid in simultaneous local, regional, and global real‐time earthquake monitoring. As a first step, we describe a simple framework to incorporate deep‐learning tools into NEIC operations. Automatic seismic arrival detections made from standard picking methods (e.g., short‐term average/long‐term average [STA/LTA]) are fed to trained neural network models to improve automatic seismic‐arrival (pick) timing and estimate seismic‐arrival phase type and source‐station distances. These additional data are used to improve the capabilities of the NEIC associator. We compile a dataset of 1.3 million seismic‐phase arrivals that represent a globally distributed set of source‐station paths covering a range of phase types, magnitudes, and source distances. We train three separate convolutional neural network models to predict arrival time onset, phase type, and distance. We validate the performance of the trained networks on a subset of our existing dataset and further extend validation by exploring the model performance when applied to NEIC automatic pick data feeds. We show that the information provided by these models can be useful in downstream event processing, specifically in seismic‐phase association, resulting in reduced false associations and improved location estimates.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200178","usgsCitation":"Yeck, W.L., Patton, J., Ross, Z.E., Hayes, G., Guy, M.M., Ambruz, N., Shelly, D.R., Benz, H.M., and Earle, P.S., 2021, Leveraging deep learning in global 24/7 real-time earthquake monitoring at the National Earthquake Information Center: Seismological Research Letters, v. 92, no. 1, p. 4469-480, https://doi.org/10.1785/0220200178.","productDescription":"12 p.","startPage":"4469","endPage":"480","ipdsId":"IP-120508","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":436665,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OHF4WL","text":"USGS data release","linkHelpText":"Waveform Data and Metadata used to National Earthquake Information Center Deep-Learning Models"},{"id":436664,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ICQPUR","text":"USGS data release","linkHelpText":"neic-machine-learning"},{"id":388157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":821548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patton, John 0000-0003-0142-5118","orcid":"https://orcid.org/0000-0003-0142-5118","contributorId":218681,"corporation":false,"usgs":true,"family":"Patton","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":821549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ross, Zachary E.","contributorId":196001,"corporation":false,"usgs":false,"family":"Ross","given":"Zachary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":821550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":821551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guy, Michelle M. 0000-0003-3450-4656 mguy@usgs.gov","orcid":"https://orcid.org/0000-0003-3450-4656","contributorId":173432,"corporation":false,"usgs":true,"family":"Guy","given":"Michelle","email":"mguy@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":821552,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ambruz, Nicholas 0000-0002-3660-3546","orcid":"https://orcid.org/0000-0002-3660-3546","contributorId":218684,"corporation":false,"usgs":true,"family":"Ambruz","given":"Nicholas","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":821553,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":821554,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":821555,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":821556,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70219190,"text":"70219190 - 2021 - Multidecadal comparison of Red-footed Booby Sula sula diet at Ulupa'u Crater, O'ahu, Hawai'i","interactions":[],"lastModifiedDate":"2021-03-31T11:52:28.192003","indexId":"70219190","displayToPublicDate":"2020-09-22T07:34:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7948,"text":"Marine Onithology","active":true,"publicationSubtype":{"id":10}},"title":"Multidecadal comparison of Red-footed Booby Sula sula diet at Ulupa'u Crater, O'ahu, Hawai'i","docAbstract":"We describe the diet of Red-footed Boobies Sula sula nesting at Ulupaʻu Crater, Oʻahu, Hawaiʻi based on 106 regurgitations collected during 2014 and 2015. We also compare our results to a diet study at this colony five decades earlier. Both studies indicate that flying squid (Ommastrephidae) and flyingfish (Exocoetidae) are important prey for this population while provisioning chicks. In particular, purpleback flying squid Sthenoteuthis oualaniensis occurred in the majority (>70%) of the recent regurgitation samples, and their size (mantle length <11 cm) indicates that they were mostly juveniles. Moreover, the size distribution of the squid prey varied by year, indicating interannual variability in phenology of spawning and larval development. This study highlights the Red-footed Boobys reliance on the juveniles of this poorly-studied squid, and underscores their value as biological samplers of epipelagic fish and squid within their foraging areas.","language":"English","publisher":"Pacific Seabird Group","usgsCitation":"Donahue, S.E., Adams, J., and Hyrenbach, K.D., 2021, Multidecadal comparison of Red-footed Booby Sula sula diet at Ulupa'u Crater, O'ahu, Hawai'i: Marine Onithology, v. 49, p. 51-55.","productDescription":"5 p.","startPage":"51","endPage":"55","ipdsId":"IP-120369","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":384740,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/PDF/49_1/49_1_51-55.pdf"},{"id":384755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Ulupa'u Crater","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.73929595947266,\n 21.437889860371723\n ],\n [\n -157.71783828735352,\n 21.437889860371723\n ],\n [\n -157.71783828735352,\n 21.46664830099439\n ],\n [\n -157.73929595947266,\n 21.46664830099439\n ],\n [\n -157.73929595947266,\n 21.437889860371723\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Donahue, Sarah E.","contributorId":256730,"corporation":false,"usgs":false,"family":"Donahue","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":51840,"text":"Hawai‘i Pacific University, Marine Science, 41-202 Kalanianaole Hwy, Waimanalo, HI 96795, USA","active":true,"usgs":false}],"preferred":false,"id":813151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hyrenbach, K David","contributorId":256731,"corporation":false,"usgs":false,"family":"Hyrenbach","given":"K","email":"","middleInitial":"David","affiliations":[{"id":51840,"text":"Hawai‘i Pacific University, Marine Science, 41-202 Kalanianaole Hwy, Waimanalo, HI 96795, USA","active":true,"usgs":false}],"preferred":false,"id":813153,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70214122,"text":"70214122 - 2021 - Seasonality of acarological risk of exposure to Borrelia miyamotoi from questing life stages of Ixodes scapularis collected from Wisconsin and Massachusetts, USA","interactions":[],"lastModifiedDate":"2020-10-12T17:34:23.313053","indexId":"70214122","displayToPublicDate":"2020-09-21T09:29:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5082,"text":"Ticks and Tick-borne Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonality of acarological risk of exposure to Borrelia miyamotoi from questing life stages of Ixodes scapularis collected from Wisconsin and Massachusetts, USA","title":"Seasonality of acarological risk of exposure to Borrelia miyamotoi from questing life stages of Ixodes scapularis collected from Wisconsin and Massachusetts, USA","docAbstract":"

Measures of acarological risk of exposure to Ixodes scapularis-borne disease agents typically focus on nymphs; however, the relapsing fever group spirochete, Borrelia miyamotoi can be transmitted transovarially, and I. scapularis larvae are capable of transmitting B. miyamotoi to their hosts. To quantify the larval contribution to acarological risk, relative to nymphs and adults, we collected questing I. scapularis for 3 yr at Fort McCoy, Wisconsin (WI, n = 23,367 ticks), and Cape Cod, Massachusetts (MA, n = 4,190) in the United States. Borrelia miyamotoi infection prevalence was estimated for I. scapularis larvae, nymphs, females, and males, respectively, as 0.88, 2.05, 0.63, and 1.22% from the WI site and 0.33, 2.32, 2.83, and 2.11% from the MA site. Densities of B. miyamotoi-infected ticks (DIT, per 1,000 m2) were estimated for larvae, nymphs, females, and males, respectively, as 0.36, 0.14, 0.01, and 0.03 from the WI site and 0.05, 0.06, 0.03, and 0.02 from the MA site. Thus, although larval infection prevalence with B. miyamotoi was significantly lower than that of nymphs and similar to that of adults, because of their higher abundance, the larval contribution to the overall DIT was similar to that of nymphs and trended towards a greater contribution than adults. Assuming homogenous contact rates with humans, these results suggest that eco-epidemiological investigations of B. miyamotoi disease in North America should include larvae.A fuller appreciation of the epidemiological implications of these results, therefore, requires an examination of the heterogeneity in contact rates with humans among life stages.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ttbdis.2020.101556","usgsCitation":"Han, S., Hickling, G.J., Ogden, N.H., Ginsberg, H., Kobbekaduwa, V., Rulison, E.L., Beati, L., and Tsao, J.I., 2021, Seasonality of acarological risk of exposure to Borrelia miyamotoi from questing life stages of Ixodes scapularis collected from Wisconsin and Massachusetts, USA: Ticks and Tick-borne Diseases, v. 12, no. 1, 101556, 7 p., https://doi.org/10.1016/j.ttbdis.2020.101556.","productDescription":"101556, 7 p.","ipdsId":"IP-110965","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":454427,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/135","text":"Publisher Index Page"},{"id":378691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, 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Seungeun","contributorId":127373,"corporation":false,"usgs":false,"family":"Han","given":"Seungeun","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":799514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hickling, Graham J.","contributorId":140903,"corporation":false,"usgs":false,"family":"Hickling","given":"Graham","email":"","middleInitial":"J.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":799515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogden, Nicholas H.","contributorId":147667,"corporation":false,"usgs":false,"family":"Ogden","given":"Nicholas","email":"","middleInitial":"H.","affiliations":[{"id":16890,"text":"Public Health Agency of Canada","active":true,"usgs":false}],"preferred":false,"id":799516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":799517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kobbekaduwa, Vishvapali","contributorId":241090,"corporation":false,"usgs":false,"family":"Kobbekaduwa","given":"Vishvapali","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":799518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rulison, Eric L.","contributorId":87478,"corporation":false,"usgs":false,"family":"Rulison","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":799519,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beati, Lorenza","contributorId":148019,"corporation":false,"usgs":false,"family":"Beati","given":"Lorenza","email":"","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":799520,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tsao, Jean I.","contributorId":140905,"corporation":false,"usgs":false,"family":"Tsao","given":"Jean","email":"","middleInitial":"I.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":799521,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70219258,"text":"70219258 - 2021 - Genetic analysis of the diet of red‐footed boobies (Sula sula) provisioning chicks at Ulupa'u Crater, O'ahu","interactions":[],"lastModifiedDate":"2021-04-02T12:33:17.577092","indexId":"70219258","displayToPublicDate":"2020-09-21T07:30:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Genetic analysis of the diet of red‐footed boobies (Sula sula) provisioning chicks at Ulupa'u Crater, O'ahu","docAbstract":"
  1. The diet of red‐footed boobies (Sula sula) provisioning chicks was quantified using 106 regurgitations collected from 81 adults over two study years with contrasting oceanographic conditions: 2014 and 2015.
  2. A total of 1,049 prey items were sorted into three broad categories (fish, squid, and other, consisting of highly‐digested ‘mush’ and parasitic isopods) and assigned a categorical freshness value of 1 (perfect condition), 2 (superficial digestion), or 3 (highly digested and incomplete).
  3. A total of 492 undigested prey items (freshness 1 and 2) were measured and sampled for genetic identification with 401 (82%) successfully identified. Rarefaction analyses suggested robust diet sampling, with 32 documented species: 29 fishes and three squids.
  4. While the prey‐specific index of relative importance highlighted that fish dominated the diet in 2014 (32.3% fish, 15.1% squid) and in 2015 (29.9% fish, 22.3% squid), diet composition varied significantly between the two study years.
  5. The purpleback flying squid (Stenoteuthis oulaniensis) accounted for 98.7% (232 of 236) of the identified squid specimens. Mantle lengths were significantly longer in 2015 (7.2 ± 1.1 SD cm) than in 2014 (6.3 ± 1.7 SD cm).
  6. These results indicate a higher relative abundance and size of the epipelagic squids available to foraging red‐footed boobies in 2015, during warm‐water conditions associated with the positive phase of the El Niño Southern Oscillation.
  7. Due to their diverse diet, red‐footed boobies are useful bioindicators of epipelagic nekton assemblages during changing oceanographic conditions. Moreover, their reliance on the purpleback flying squid makes these seabirds ideal samplers of the juveniles of this poorly studied species.
  8. Understanding how interannual and longer‐term oceanographic variability affects central‐place foraging seabirds and the recruitment and abundance of their squid prey is critical for precautionary ecosystem‐based fisheries management of oceanic islands and the surrounding marine environment.
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.3470","usgsCitation":"Donahue, S.E., Adams, J., Renshaw, M.A., and Hyrenbach, K.D., 2021, Genetic analysis of the diet of red‐footed boobies (Sula sula) provisioning chicks at Ulupa'u Crater, O'ahu: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 31, no. 2, p. 324-339, https://doi.org/10.1002/aqc.3470.","productDescription":"16 p.","startPage":"324","endPage":"339","ipdsId":"IP-106361","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":384837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Ulupa'u Crater, Oahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.73860931396484,\n 21.441245304007914\n ],\n [\n -157.71474838256836,\n 21.441245304007914\n ],\n [\n -157.71474838256836,\n 21.463133684777695\n ],\n [\n -157.73860931396484,\n 21.463133684777695\n ],\n [\n -157.73860931396484,\n 21.441245304007914\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-09-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Donahue, Sarah E.","contributorId":256730,"corporation":false,"usgs":false,"family":"Donahue","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":51840,"text":"Hawai‘i Pacific University, Marine Science, 41-202 Kalanianaole Hwy, Waimanalo, HI 96795, USA","active":true,"usgs":false}],"preferred":false,"id":813435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Renshaw, Mark A","contributorId":256929,"corporation":false,"usgs":false,"family":"Renshaw","given":"Mark","email":"","middleInitial":"A","affiliations":[{"id":51903,"text":"Oceanic Institute of Hawai'i Pacific University, Waimanalo, Hawai'i, USA","active":true,"usgs":false}],"preferred":false,"id":813437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyrenbach, K David","contributorId":256731,"corporation":false,"usgs":false,"family":"Hyrenbach","given":"K","email":"","middleInitial":"David","affiliations":[{"id":51840,"text":"Hawai‘i Pacific University, Marine Science, 41-202 Kalanianaole Hwy, Waimanalo, HI 96795, USA","active":true,"usgs":false}],"preferred":false,"id":813438,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70214567,"text":"70214567 - 2021 - Net-spinning caddisfly distribution in large regulated rivers","interactions":[],"lastModifiedDate":"2020-12-29T21:34:43.821143","indexId":"70214567","displayToPublicDate":"2020-09-20T09:11:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Net-spinning caddisfly distribution in large regulated rivers","docAbstract":"
  1. Most of the world's large rivers are dammed for the purposes of water storage, flood control, and power production. Damming rivers fundamentally alters water temperature and flows in tailwater ecosystems, which in turn affects the presence and abundance of downstream biota.
  2. We collaborated with more than 200 citizen scientists to collect 2,194 light trap samples across 2 years and more than 2,000 river km. Samples contained 16,222 net‐spinning caddisfly (Hydropsyche) individuals across six species. We used these data to model the distribution of Hydropsyche throughout the Colorado River Basin in the western U.S.A. to identify the roles of water temperature, flows, and species‐specific morphology in determining aquatic species distributions throughout a large arid watershed that has been heavily altered by damming.
  3. We predicted that water temperatures would determine Hydropsyche presence and abundance to a greater extent than diel variation in river stage associated with hydropower production. Among many species, adult female Hydropsychids are morphologically adapted to swim to deep‐water oviposition sites. We predicted that the presence of this ability would negate the otherwise deleterious effects of high stage change on caddisfly egg mortality.
  4. We found that distributions of the two most widespread species, Hydropsyche occidentalis and Hydropsyche oslari (92% of total Hydropsyche captured), were both predicted by water temperatures. However, we also found that the abundance of H. oslari decreased by as much as 10‐fold as diel stage change increased, despite the presence of female morphological adaptations for deep‐water oviposition. We found sexual dimorphism and evidence for deep‐water swimming adaptations in 5/6 species.
  5. Our results show that net‐spinning caddisflies have species‐specific responses to environmental variation and suggest that environmental flows designed to reduce diel stage change and destabilise water temperatures may improve habitat quality for these ubiquitous and important aquatic insects.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13617","usgsCitation":"Metcalfe, A., Muehlbauer, J., Kennedy, T., Yackulic, C., Dibble, K.L., and Marks, J.C., 2021, Net-spinning caddisfly distribution in large regulated rivers: Freshwater Biology, v. 66, no. 1, p. 89-101, https://doi.org/10.1111/fwb.13617.","productDescription":"13 p.","startPage":"89","endPage":"101","ipdsId":"IP-112464","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":436667,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94N7GI9","text":"USGS data release","linkHelpText":"Adult net-spinning caddisfly (Hydropsyche spp.) catch rates and morphology from large rivers of the southwestern United States, 2015-2016"},{"id":436666,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94N7GI9","text":"USGS data release","linkHelpText":"Adult net-spinning caddisfly (Hydropsyche spp.) catch 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USA","interactions":[],"lastModifiedDate":"2021-05-03T19:24:02.736532","indexId":"70214032","displayToPublicDate":"2020-09-19T10:32:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7119,"text":"Science of the Total Environment (STOTEN)","active":true,"publicationSubtype":{"id":10}},"title":"Trends in nitrogen, phosphorus, and sediment concentrations and loads in streams draining to Lake Tahoe, California, Nevada, USA","docAbstract":"

Lake Tahoe, a large freshwater lake of the eastern Sierra Nevada in California and Nevada, has 63 tributaries that are sources of nutrients and sediment to the lake. The Tahoe watershed is relatively small, and the surface area of the lake occupies about 38% of the watershed area (1313 km2). Only about 6% of the watershed is urbanized or residential land, and as part of a plan to maintain water clarity, wastewater is exported out of the basin. The lake's clarity has been diminishing due to algae and fine sediment, prompting development of management plans. Much of the annual discharge and nutrient load to the lake results from snowmelt in the spring and summer months. To understand the relative importance of land use, climate, forest management, and other factors affecting trends in nutrient stream concentrations and loads, a Weighted Regression on Time Discharge and Season (WRTDS) model simulated these trends over a time frame of >25 years (mid-1970s to 2017). All studied locations generally show nitrate concentration and load trending down. Ammonium concentration and load initially trended down then increased continuously after 2005. Some locations show initially decreasing orthophosphate trends, followed by small significant increases in concentration and loads starting around 2000 to 2005. Total Kjeldahl nitrogen, total phosphorus and suspended sediment mostly trended downward. Overall, the trends in various forms of nitrogen were observed at most sites irrespective of the degree of development and indicate a change in ecological conditions is affecting the nitrogen cycle throughout the watershed, most likely attributable to forest aggradation and fire suppression. Ratios of bioavailable nitrogen in the form of nitrate and ammonium to orthophosphate have also trended downward during the period of record suggesting a shift of these streams from phosphorus limited to nitrogen limited.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.141815","usgsCitation":"Domagalski, J.L., Morway, E.D., Alvarez, N.L., Hutchins, J., Rosen, M.R., and Coats, R., 2021, Trends in nitrogen, phosphorus, and sediment concentrations and loads in streams draining to Lake Tahoe, California, Nevada, USA: Science of the Total Environment (STOTEN), v. 752, 141815, 17 p., https://doi.org/10.1016/j.scitotenv.2020.141815.","productDescription":"141815, 17 p.","ipdsId":"IP-116547","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":436671,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98T2HNM","text":"USGS data release","linkHelpText":"Discharge, nutrient, and suspended sediment data for selected streams in the Lake Tahoe watershed"},{"id":436670,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98T2HNM","text":"USGS data release","linkHelpText":"Discharge, nutrient, and suspended sediment data for selected streams in the Lake Tahoe watershed"},{"id":378607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ja/70214032/coverthb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.27282714843749,\n 38.807610542357594\n ],\n [\n -119.80865478515625,\n 38.807610542357594\n ],\n [\n -119.80865478515625,\n 39.31942523123949\n ],\n [\n -120.27282714843749,\n 39.31942523123949\n ],\n [\n -120.27282714843749,\n 38.807610542357594\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"752","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Domagalski, Joseph L. 0000-0002-6032-757X joed@usgs.gov","orcid":"https://orcid.org/0000-0002-6032-757X","contributorId":1330,"corporation":false,"usgs":true,"family":"Domagalski","given":"Joseph","email":"joed@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, Nancy L. 0000-0001-8037-1001 nalvarez@usgs.gov","orcid":"https://orcid.org/0000-0001-8037-1001","contributorId":206530,"corporation":false,"usgs":true,"family":"Alvarez","given":"Nancy","email":"nalvarez@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutchins, Juliet 0000-0001-7385-4160","orcid":"https://orcid.org/0000-0001-7385-4160","contributorId":240999,"corporation":false,"usgs":false,"family":"Hutchins","given":"Juliet","email":"","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":799285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coats, Robert 0000-0002-0402-032X","orcid":"https://orcid.org/0000-0002-0402-032X","contributorId":241000,"corporation":false,"usgs":false,"family":"Coats","given":"Robert","email":"","affiliations":[{"id":48187,"text":"Hydroikos Ltd","active":true,"usgs":false}],"preferred":false,"id":799287,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70214565,"text":"70214565 - 2021 - An integrative ecological drought framework to span plant stress to ecosystem transformation","interactions":[],"lastModifiedDate":"2021-06-30T17:40:38.884535","indexId":"70214565","displayToPublicDate":"2020-09-19T09:16:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"An integrative ecological drought framework to span plant stress to ecosystem transformation","docAbstract":"

Droughts have increased globally in the twenty-first century and are expected to become more extreme and widespread in the future. Assessments of how drought affects plants and ecosystems lack consistency in scope and methodology, confounding efforts to mechanistically interpret structural and functional impacts and predict future transformations under climate change. To promote integration among studies, we identify water deficit conditions that are ecologically meaningful, clarify the stages in which ecological drought progresses, and consider approaches to synthesize drought effects across multiple species and ecosystems. This improved ecological drought framework reveals advantages of using different ecological drought metrics and strengthens approaches to distinguish ecosystem stress from crossing an irreversible threshold. We employ several well-studied examples from water-limited ecosystems, which contain plants that are often at their physiological limits and highly responsive to climate variability. We suggest that emerging research on early warning signs, drought recovery, and the effects of land management interventions be incorporated into the ecological drought framework. An integrative approach to understand ecological drought can accelerate scientific advancement and create opportunity to adapt and prepare for crossing irreversible ecosystem thresholds.

","language":"English","publisher":"Springer","doi":"10.1007/s10021-020-00555-y","usgsCitation":"Munson, S.M., Bradford, J.B., and Hultine, K.R., 2021, An integrative ecological drought framework to span plant stress to ecosystem transformation: Ecosystems, v. 24, p. 739-754, https://doi.org/10.1007/s10021-020-00555-y.","productDescription":"16 p.","startPage":"739","endPage":"754","ipdsId":"IP-118682","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":378903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","noUsgsAuthors":false,"publicationDate":"2020-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":800113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":800114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hultine, Kevin R.","contributorId":181976,"corporation":false,"usgs":false,"family":"Hultine","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":800115,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70214978,"text":"70214978 - 2021 - Hydrocarbons to carboxyl-rich alicyclic molecules: A continuum model to describe biodegradation of petroleum-derived dissolved organic matter in contaminated groundwater plumes","interactions":[],"lastModifiedDate":"2020-10-05T12:45:51.418963","indexId":"70214978","displayToPublicDate":"2020-09-19T07:35:25","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Hydrocarbons to carboxyl-rich alicyclic molecules: A continuum model to describe biodegradation of petroleum-derived dissolved organic matter in contaminated groundwater plumes","docAbstract":"

Relationships between dissolved organic matter (DOM) reactivity and chemical composition in a groundwater plume containing petroleum-derived DOM (DOMHC) were examined by quantitative and qualitative measurements to determine the source and chemical composition of the compounds that persist downgradient. Samples were collected from a transect down the core of the plume in the direction of groundwater flow. An exponential decrease in dissolved organic carbon concentration resulting from biodegradation along the transect correlated with a continuous shift in fluorescent DOMHC from shorter to longer wavelengths. Moreover, ultrahigh resolution mass spectrometry showed a shift from low molecular weight (MW) aliphatic, reduced compounds to high MW, unsaturated (alicyclic/aromatic), high oxygen compounds that are consistent with carboxyl-rich alicyclic molecules. The degree of condensed aromaticity increased downgradient, indicating that compounds with larger, conjugated aromatic core structures were less susceptible to biodegradation. Nuclear magnetic resonance spectroscopy showed a decrease in alkyl (particularly methyl) and an increase in aromatic/olefinic structural motifs. Collectively, data obtained from the combination of these complementary analytical techniques indicated that changes in the DOMHC composition of a groundwater plume are gradual, as relatively low molecular weight (MW), reduced, aliphatic compounds from the oil source were selectively degraded and high MW, alicyclic/aromatic, oxidized compounds persisted.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2020.123998","usgsCitation":"Podgorski, D.C., Zito, P., Kellerman, A.M., Bekins, B.A., Cozzarelli, I.M., Smith, D., Cao, X., Schmidt-Rohr, K., Wagner, S., Stubbins, A., and Spencer, R.G., 2021, Hydrocarbons to carboxyl-rich alicyclic molecules: A continuum model to describe biodegradation of petroleum-derived dissolved organic matter in contaminated groundwater plumes: Journal of Hazardous Materials, v. 402, 123998, 16 p., https://doi.org/10.1016/j.jhazmat.2020.123998.","productDescription":"123998, 16 p.","ipdsId":"IP-117942","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":454434,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhazmat.2020.123998","text":"Publisher Index Page"},{"id":379034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","city":"Bemidji","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.00976562499999,\n 47.409502941311075\n ],\n [\n -94.7845458984375,\n 47.409502941311075\n ],\n [\n -94.7845458984375,\n 47.543163654317304\n ],\n [\n -95.00976562499999,\n 47.543163654317304\n ],\n [\n -95.00976562499999,\n 47.409502941311075\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"402","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":800477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":800478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kellerman, Anne M.","contributorId":204172,"corporation":false,"usgs":false,"family":"Kellerman","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":800479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":800480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":800481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Donald F.","contributorId":242606,"corporation":false,"usgs":false,"family":"Smith","given":"Donald F.","affiliations":[{"id":48482,"text":"dNational High Magnetic Field Laboratory, Florida State University","active":true,"usgs":false}],"preferred":false,"id":800482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cao, Xiaoyan","contributorId":204169,"corporation":false,"usgs":false,"family":"Cao","given":"Xiaoyan","email":"","affiliations":[{"id":36869,"text":"Old Dominion University; Brandeis University","active":true,"usgs":false}],"preferred":false,"id":800483,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmidt-Rohr, Klaus","contributorId":173865,"corporation":false,"usgs":false,"family":"Schmidt-Rohr","given":"Klaus","email":"","affiliations":[{"id":27307,"text":"Dept. of Chemistry, Brandeis University, Waltham, MA","active":true,"usgs":false}],"preferred":false,"id":800485,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Sasha","contributorId":242609,"corporation":false,"usgs":false,"family":"Wagner","given":"Sasha","email":"","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":800484,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stubbins, Aron","contributorId":191244,"corporation":false,"usgs":false,"family":"Stubbins","given":"Aron","email":"","affiliations":[],"preferred":false,"id":800486,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Spencer, Robert G. M. 0000-0003-0777-0748","orcid":"https://orcid.org/0000-0003-0777-0748","contributorId":238028,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert","email":"","middleInitial":"G. M.","affiliations":[{"id":47686,"text":"Department of Earth, Ocean and Atmospheric Science, Florida State University","active":true,"usgs":false}],"preferred":false,"id":800487,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70217572,"text":"70217572 - 2021 - Environmental DNA is an effective tool to track recolonizing migratory fish following large‐scale dam removal","interactions":[],"lastModifiedDate":"2021-01-25T12:43:42.792343","indexId":"70217572","displayToPublicDate":"2020-09-19T07:20:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA is an effective tool to track recolonizing migratory fish following large‐scale dam removal","docAbstract":"

Environmental DNA (eDNA) has emerged as a potentially powerful tool for use in conservation and resource management, including for tracking the recolonization dynamics of fish populations. We used eDNA to assess the effectiveness of dam removal to restore fish passage on the Elwha River in Washington State (USA). Using a suite of 11 species‐specific eDNA polymerase chain reaction (PCR) assays, we showed that most targeted anadromous species (five Pacific Salmon species and Pacific Lamprey) were able to pass upstream of both former dam sites. Multiscale occupancy modeling showed that the timing and spatial extent of recolonization differed among species during the four years of post‐dam removal monitoring. More abundant species like Chinook Salmon and Coho Salmon migrated farther into the upper portions of the watershed than less abundant species like Pink Salmon and Chum Salmon. Sampling also allowed assessment of potamodromous fish species. Bull Trout and Rainbow Trout, ubiquitous species in the watershed, were detected at all sampling locations. Environmental DNA from Brook Trout, a non‐native species isolated between the dams prior to dam removal, was detected downstream of Elwha dam but rarely upstream of the Glines Canyon Dam suggested that the species has not expanded its range appreciably in the watershed following dam removal. We found that eDNA was an effective tool to assess the response of fish populations to large‐scale dam removal on the Elwha River.

","language":"English","publisher":"Wiley","doi":"10.1002/edn3.134","usgsCitation":"Duda, J.J., Hoy, M.S., Chase, D.M., Pess, G.R., Brenkman, S.J., McHenry, M.M., and Ostberg, C.O., 2021, Environmental DNA is an effective tool to track recolonizing migratory fish following large‐scale dam removal: Environmental DNA, v. 3, no. 1, p. 121-141, https://doi.org/10.1002/edn3.134.","productDescription":"21 p.","startPage":"121","endPage":"141","ipdsId":"IP-117988","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":454438,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.134","text":"Publisher Index Page"},{"id":436672,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96R5Q0M","text":"USGS data release","linkHelpText":"Environmental DNA (eDNA) is an Effective Tool to Track Recolonizing Migratory Fish Following Large-Scale Dam Removal, field data"},{"id":382487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":808709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoy, Marshal S. 0000-0003-2828-9697","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":220730,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":808710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chase, Dorothy M. 0000-0002-7759-2687","orcid":"https://orcid.org/0000-0002-7759-2687","contributorId":203926,"corporation":false,"usgs":true,"family":"Chase","given":"Dorothy","email":"","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":808711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pess, George R.","contributorId":13501,"corporation":false,"usgs":false,"family":"Pess","given":"George","email":"","middleInitial":"R.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":808712,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenkman, Samuel J.","contributorId":138941,"corporation":false,"usgs":false,"family":"Brenkman","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":12587,"text":"Olympic National Park, Port Angeles, WA","active":true,"usgs":false}],"preferred":false,"id":808713,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McHenry, Michael M","contributorId":239726,"corporation":false,"usgs":false,"family":"McHenry","given":"Michael","email":"","middleInitial":"M","affiliations":[{"id":16823,"text":"Lower Elwha Klallam Tribe, Port Angeles, Washington","active":true,"usgs":false}],"preferred":false,"id":808714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ostberg, Carl O. 0000-0003-1479-8458","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":220731,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":808715,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70228609,"text":"70228609 - 2021 - Impacts of small dams on stream temperature","interactions":[],"lastModifiedDate":"2022-02-14T17:19:08.866549","indexId":"70228609","displayToPublicDate":"2020-09-16T11:14:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of small dams on stream temperature","docAbstract":"

Small, surface-release dams are ubiquitous features of the landscape that typically slow water flow and decrease canopy cover through impounded reaches, potentially increasing stream temperatures. However, reported effects of small dams on water temperature are variable, likely due to differences in landscape and dam characteristics. To quantify the range of thermal effects of small dams, we deployed continuous temperature loggers for one to four years at 30 dam sites across a range of environmental settings throughout Massachusetts (USA). Most dams (67%) warmed downstream waters, with August mean temperatures 0.20–5.25 °C higher than upstream. Downstream temperatures cooled with increased distance from the dam at 68% of sites, such that the warmest temperatures were observed closest to the dam. Where there was both a significant downstream warming effect and cooling pattern (seven sites), elevated temperatures persisted for an average of 1.31 km downstream of the dam. Dams with impoundments that caused the greatest relative widening of the stream channel and those on coldwater streams had the most warming, while streams with short dams in forested watersheds cooled most quickly downstream of the dam. Flow had a homogenizing effect on water temperatures at over half of the sites, whereby summer thermal impacts were more pronounced (e.g., more warming, faster cooling rates) under periods of lower flows. Downstream warming may reduce habitat for coldwater fishes and invertebrates, particularly where dams shift coldwater/coolwater habitat to warmwater. These results suggest that dam removal may mitigate elevated stream temperatures and increase ecosystem resilience in the face of a changing climate via restoration of critical coldwater habitats.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2020.106878","usgsCitation":"Zaidel, P.A., Roy, A.H., Houle, K.M., Lambert, B., Letcher, B., Nislow, K., and Smith, C., 2021, Impacts of small dams on stream temperature: Ecological Indicators, v. 120, 106878, 13 p., https://doi.org/10.1016/j.ecolind.2020.106878.","productDescription":"106878, 13 p.","ipdsId":"IP-117686","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":454440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2020.106878","text":"Publisher Index Page"},{"id":395896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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M.","contributorId":276354,"corporation":false,"usgs":false,"family":"Houle","given":"Kristopher","email":"","middleInitial":"M.","affiliations":[{"id":56964,"text":"Massachusetts Department of Fish and Wildife","active":true,"usgs":false}],"preferred":false,"id":834784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lambert, Beth","contributorId":276356,"corporation":false,"usgs":false,"family":"Lambert","given":"Beth","email":"","affiliations":[{"id":56965,"text":"Massachusetts Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":834785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":834786,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nislow, Keith H.","contributorId":276357,"corporation":false,"usgs":false,"family":"Nislow","given":"Keith H.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":834787,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Christopher","contributorId":276358,"corporation":false,"usgs":false,"family":"Smith","given":"Christopher","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":834788,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70215617,"text":"70215617 - 2021 - Genetic diversity, population structure, and historical demography of a highly vagile and human‐impacted seabird in the Pacific Ocean: The red‐tailed tropicbird, Phaethon rubricauda","interactions":[],"lastModifiedDate":"2021-03-05T21:04:27.61783","indexId":"70215617","displayToPublicDate":"2020-09-16T09:04:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic diversity, population structure, and historical demography of a highly vagile and human‐impacted seabird in the Pacific Ocean: The red‐tailed tropicbird, Phaethon rubricauda","title":"Genetic diversity, population structure, and historical demography of a highly vagile and human‐impacted seabird in the Pacific Ocean: The red‐tailed tropicbird, Phaethon rubricauda","docAbstract":"
  1. Many seabird breeding colonies have recovered from heavy anthropogenic disturbance after conservation actions. The widely distributed red‐tailed tropicbird, Phaethon rubricauda, was used as a model species to assess potential anthropogenic impacts on the genetic diversity of breeding colonies in the Pacific Ocean.
  2. Cytochrome c oxidase subunit I and control region sequences analyses were conducted across the range of the species in the Pacific Ocean. The study sites were at islands without human‐related disturbance (non‐impacted islands) and with human‐related disturbance (impacted islands). We hypothesized that (i) breeding colonies of the red‐tailed tropicbird on impacted islands have lower genetic diversity compared with colonies on non‐impacted islands, and (ii) breeding colonies of the red‐tailed tropicbird show significant fine and broad‐scale genetic structure across the Pacific Ocean. Bayesian skyline analyses were conducted to infer past changes in population sizes.
  3. Genetic diversity was similar between impacted and non‐impacted islands. There was significant broad‐scale genetic structure among colonies separated by over 6,000 km, but a lack of significant fine‐scale genetic structure within Australasia and Hawai'i, although a significant level of differentiation was found within Chile with ΦST analyses. Skyline analyses showed that effective population sizes remained relatively constant through time, but experienced either a slight decrease or the end of an expansion event through the last 1,000 years. These changes may be related to the arrival of humans on Pacific islands.
  4. Impacted islands may have received immigrants from other relatively close islands, buffering the loss of genetic diversity. However, it is also possible that colonies have retained ancestral variation or that a large effective population size coupled with a long generation time (13 years) has prevented the loss of genetic diversity in human‐impacted islands. Future research using higher‐resolution markers is needed to resolve the population genetic structure of the red‐tailed tropicbird in an ecological time‐scale.
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.3471","usgsCitation":"Varela, A., Brokordt, K., Ismar‐Rebitz, S., Gaskin, C., Carlile, N., O’Dwyer, T., Adams, J., Vanderwerf, E.A., and Luna‐Jorquera, G., 2021, Genetic diversity, population structure, and historical demography of a highly vagile and human‐impacted seabird in the Pacific Ocean: The red‐tailed tropicbird, Phaethon rubricauda: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 31, no. 2, p. 367-377, https://doi.org/10.1002/aqc.3471.","productDescription":"11 p.","startPage":"367","endPage":"377","ipdsId":"IP-111418","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":379752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia, Chile, New Zealand, United States","state":"Hawaii","otherGeospatial":"North Meyer Islet, Phillip Island, Rapa Nui, Salas & Gomez Island","volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Varela, Andrea I","contributorId":243999,"corporation":false,"usgs":false,"family":"Varela","given":"Andrea I","affiliations":[{"id":48792,"text":"Millennium Nucleus for Ecology and Sustainable Management of Oceanic Islands (ESMOI), Departamento de Biología Marina, Facultad de Ciencias del Mar, Universidad Católica del Norte, Coquimbo, Chile","active":true,"usgs":false}],"preferred":false,"id":802993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brokordt, Katherina","contributorId":244000,"corporation":false,"usgs":false,"family":"Brokordt","given":"Katherina","email":"","affiliations":[{"id":48793,"text":"Laboratorio de Fisiología y Genética Marina (FIGEMA), Departamento de Acuicultura, Facultad de Ciencias del Mar, Universidad Católica del Norte, Coquimbo, Chile","active":true,"usgs":false}],"preferred":false,"id":802994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ismar‐Rebitz, Stefanie M.H.","contributorId":244001,"corporation":false,"usgs":false,"family":"Ismar‐Rebitz","given":"Stefanie M.H.","affiliations":[{"id":48794,"text":"Experimental Ecology ‐ Benthos Ecology, GEOMAR Helmholtz Center for Ocean Research Kiel, Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":802995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaskin, Chris P","contributorId":244002,"corporation":false,"usgs":false,"family":"Gaskin","given":"Chris P","affiliations":[{"id":48795,"text":"Northern New Zealand Seabird Charitable Trust, Auckland, New Zealand","active":true,"usgs":false}],"preferred":false,"id":802996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlile, Nicholas","contributorId":196170,"corporation":false,"usgs":false,"family":"Carlile","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":802997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Dwyer, Terence","contributorId":244003,"corporation":false,"usgs":false,"family":"O’Dwyer","given":"Terence","email":"","affiliations":[{"id":48796,"text":"Department of Planning, Industry and Environment, Hurstville, New South Wales, Australia","active":true,"usgs":false}],"preferred":false,"id":802998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":802999,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vanderwerf, Eric A.","contributorId":104689,"corporation":false,"usgs":false,"family":"Vanderwerf","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":803000,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luna‐Jorquera, Guillermo","contributorId":244004,"corporation":false,"usgs":false,"family":"Luna‐Jorquera","given":"Guillermo","affiliations":[{"id":48792,"text":"Millennium Nucleus for Ecology and Sustainable Management of Oceanic Islands (ESMOI), Departamento de Biología Marina, Facultad de Ciencias del Mar, Universidad Católica del Norte, Coquimbo, Chile","active":true,"usgs":false}],"preferred":false,"id":803001,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70213290,"text":"70213290 - 2021 - How plants influence resilience of salt marsh and mangrove wetlands to sea-level rise","interactions":[],"lastModifiedDate":"2021-05-14T11:51:59.077308","indexId":"70213290","displayToPublicDate":"2020-09-15T12:13:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"How plants influence resilience of salt marsh and mangrove wetlands to sea-level rise","docAbstract":"

This review evaluates the importance of plants and associated biological processes in determining the vulnerability of coastal wetlands to sea-level rise. Coastal wetlands occur across a broad sedimentary continuum from minerogenic to biogenic, providing an opportunity to examine the relative importance of biological processes in wetland resilience to sea-level rise. We explore how plants influence sediment accretion, elevation capital (vertical position in the tidal frame), and compaction or erosion of deposited material. We focus on salt marsh and mangrove wetlands, which occupy a similar physiographic niche and display similar physical and biological controls on resilience to sea-level rise. In both habitats, plants stabilize emergent mudflats and help sustain the wetland position in the tidal frame relative to ocean height through both surface and subsurface process controls on soil elevation. Plants influence soil elevations by modifying (1) mineral sediment deposition and retention, (2) organic matter contributions to soil volume, and (3) resistance to compaction and erosion. Recognition of the importance of plants in coastal wetland resilience to sea-level rise is key to accurate predictions about the future fate of salt marshes and mangrove forests and for development of effective management and restoration plans.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-020-00834-w","usgsCitation":"Cahoon, D.R., McKee, K.L., and James Morris, 2021, How plants influence resilience of salt marsh and mangrove wetlands to sea-level rise: Estuaries and Coasts, v. 44, p. 883-898, https://doi.org/10.1007/s12237-020-00834-w.","productDescription":"16 p.","startPage":"883","endPage":"898","ipdsId":"IP-118213","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":378521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","noUsgsAuthors":false,"publicationDate":"2020-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":798960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Karen L. 0000-0001-7042-670X mckeek@usgs.gov","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":704,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"mckeek@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":798961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James Morris","contributorId":240798,"corporation":false,"usgs":false,"family":"James Morris","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":798962,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266305,"text":"70266305 - 2021 - Responding to ecosystem transformation: Resist, accept, or direct?","interactions":[],"lastModifiedDate":"2025-05-02T15:46:02.539519","indexId":"70266305","displayToPublicDate":"2020-09-15T10:41:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Responding to ecosystem transformation: Resist, accept, or direct?","docAbstract":"

Ecosystem transformation can be defined as the emergence of a self‐organizing, self‐sustaining, ecological or social–ecological system that deviates from prior ecosystem structure and function. These transformations are occurring across the globe; consequently, a static view of ecosystem processes is likely no longer sufficient for managing fish, wildlife, and other species. We present a framework that encompasses three strategies for fish and wildlife managers dealing with ecosystems vulnerable to transformation. Specifically, managers can resist change and strive to maintain existing ecosystem composition, structure, and function; accept transformation when it is not feasible to resist change or when changes are deemed socially acceptable; or direct change to a future ecosystem configuration that would yield desirable outcomes. Choice of a particular option likely hinges on anticipating future change, while also acknowledging that temporal and spatial scales, recent history and current state of the system, and magnitude of change can factor into the decision. This suite of management strategies can be implemented using a structured approach of learning and adapting as ecosystems change.

","language":"English","publisher":"Oxford Academic","doi":"10.1002/fsh.10506","usgsCitation":"Thompson, L., Lynch, A., Beever, E.A., Engman, A.C., Falke, J.A., Jackson, S., Krabbenhoft, T.J., Lawrence, D.J., Limpinsel, D., Magill, R.T., Melvin, T.A., Morton, J., Newman, R.A., Peterson, J., Porath, M., Rahel, F., Sethi, S., and Wilkening, J.L., 2021, Responding to ecosystem transformation: Resist, accept, or direct?: Fisheries, v. 46, p. 8-21, https://doi.org/10.1002/fsh.10506.","productDescription":"14 p.","startPage":"8","endPage":"21","ipdsId":"IP-106816","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487932,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/662904","text":"External Repository"},{"id":485337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","noUsgsAuthors":false,"publicationDate":"2020-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":221497,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":935496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":935497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":935498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engman, Agustin C.","contributorId":293208,"corporation":false,"usgs":false,"family":"Engman","given":"Agustin","email":"","middleInitial":"C.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":935499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935500,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, Stephen 0000-0002-1487-4652","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":219995,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":935501,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, Trevor 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T.","contributorId":266194,"corporation":false,"usgs":false,"family":"Magill","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":935505,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Melvin, Tracy A.","contributorId":270984,"corporation":false,"usgs":false,"family":"Melvin","given":"Tracy","email":"","middleInitial":"A.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":935506,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morton, John M.","contributorId":245969,"corporation":false,"usgs":false,"family":"Morton","given":"John M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":935507,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Newman, Robert 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Reservoirs are mostly managed at local scales as spatially independent units. A basin-scale perspective may increase awareness at a broader scope and generate insight not evident at local scales. We examined the array of reservoir attributes and fisheries in the Mississippi Basin to identify management opportunities. The basin is the third largest in the world and includes over 1,700 reservoirs >100 ha, the most of any river basin. Our bird's-eye view shows a piecemeal approach where reservoirs are mostly administered at the local level. Basin-wide or catchment coordination to holistically address problems that recur across the basin is mostly lacking. A basin-wide coordination arrangement could facilitate various facets of reservoir management. We reviewed governance arrangements in major river basins across the globe and concluded that the basin-wide administrative layer we encourage for the Mississippi Basin may already exist in some basins but may not be directly applicable everywhere.

","language":"English","publisher":"Wiley","doi":"10.1111/faf.12509","usgsCitation":"Miranda, L.E., Coppoloa, G., Hatcher, H.R., Jargowsky, M.B., Moran, Z., and Rhodes, M.C., 2021, A bird's-eye view of reservoirs in the Mississippi Basin tips a need for large-scale coordination: Fish and Fisheries, v. 22, no. 1, p. 128-140, https://doi.org/10.1111/faf.12509.","productDescription":"13 p.","startPage":"128","endPage":"140","ipdsId":"IP-115750","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.59374999999999,\n 30.14512718337613\n ],\n [\n -90.263671875,\n 31.12819929911196\n ],\n [\n -90.52734374999999,\n 33.063924198120645\n ],\n [\n -88.505859375,\n 35.460669951495305\n ],\n [\n -86.66015624999999,\n 35.10193405724606\n ],\n [\n -84.0234375,\n 35.31736632923788\n ],\n [\n -81.82617187499999,\n 36.73888412439431\n ],\n [\n -79.89257812499999,\n 37.996162679728116\n ],\n [\n -78.92578124999999,\n 39.70718665682654\n ],\n [\n -76.201171875,\n 42.032974332441405\n ],\n [\n -76.025390625,\n 42.87596410238256\n ],\n [\n -77.080078125,\n 42.87596410238256\n ],\n [\n -79.189453125,\n 41.31082388091818\n ],\n [\n -83.232421875,\n 40.38002840251183\n ],\n [\n -86.748046875,\n 41.178653972331674\n ],\n [\n -88.41796875,\n 41.376808565702355\n ],\n [\n -89.296875,\n 44.402391829093915\n ],\n [\n -90.17578124999999,\n 44.33956524809713\n ],\n [\n -89.384765625,\n 46.558860303117164\n ],\n [\n -92.900390625,\n 46.49839225859763\n ],\n [\n -93.955078125,\n 47.69497434186282\n ],\n [\n -96.767578125,\n 46.01222384063236\n ],\n [\n -103.18359375,\n 48.69096039092549\n ],\n [\n -109.86328125,\n 49.15296965617042\n ],\n [\n -112.06054687499999,\n 48.980216985374994\n ],\n [\n -112.763671875,\n 48.86471476180277\n ],\n [\n -112.412109375,\n 47.754097979680026\n ],\n [\n -111.97265625,\n 46.31658418182218\n ],\n [\n -112.32421875,\n 45.398449976304086\n ],\n [\n -113.5546875,\n 45.460130637921004\n ],\n [\n -111.796875,\n 44.08758502824516\n ],\n [\n -108.369140625,\n 42.16340342422401\n ],\n [\n -105.46875,\n 41.50857729743935\n ],\n [\n -105.29296874999999,\n 39.90973623453719\n ],\n [\n -105.8203125,\n 39.436192999314095\n ],\n [\n -105.29296874999999,\n 38.54816542304656\n ],\n [\n -104.58984375,\n 36.31512514748051\n ],\n [\n -105.1171875,\n 35.88905007936091\n ],\n [\n -105.29296874999999,\n 35.38904996691167\n ],\n [\n -103.095703125,\n 32.84267363195431\n ],\n [\n -99.931640625,\n 32.175612478499325\n ],\n [\n -95.625,\n 31.653381399664\n ],\n [\n -93.955078125,\n 31.052933985705163\n ],\n [\n -93.955078125,\n 29.458731185355344\n ],\n [\n -90.52734374999999,\n 28.459033019728043\n ],\n [\n -88.857421875,\n 28.536274512989916\n ],\n [\n -88.59374999999999,\n 30.14512718337613\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coppoloa, G.","contributorId":275739,"corporation":false,"usgs":false,"family":"Coppoloa","given":"G.","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatcher, H. R.","contributorId":275740,"corporation":false,"usgs":false,"family":"Hatcher","given":"H.","email":"","middleInitial":"R.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jargowsky, M. B.","contributorId":275741,"corporation":false,"usgs":false,"family":"Jargowsky","given":"M.","email":"","middleInitial":"B.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moran, Z.S.","contributorId":275743,"corporation":false,"usgs":false,"family":"Moran","given":"Z.S.","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rhodes, M. C.","contributorId":275746,"corporation":false,"usgs":false,"family":"Rhodes","given":"M.","email":"","middleInitial":"C.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":834261,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70213544,"text":"70213544 - 2021 - Comparison of anadromous and landlocked Atlantic salmon genomes reveals signatures of parallel and relaxed selection across the northern hemisphere","interactions":[],"lastModifiedDate":"2021-03-05T21:17:42.472391","indexId":"70213544","displayToPublicDate":"2020-09-13T06:56:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of anadromous and landlocked Atlantic salmon genomes reveals signatures of parallel and relaxed selection across the northern hemisphere","docAbstract":"

Most Atlantic salmon (Salmo salar L.) populations follow an anadromous life cycle, spending early life in freshwater, migrating to the sea for feeding and returning to rivers to spawn. At the end of the last ice age ~10,000 years ago, several populations of Atlantic salmon became landlocked. Comparing their genomes to their anadromous counterparts can help identify genetic variation related to either freshwater residency or anadromy. The objective of this study was to identify consistently divergent loci between anadromous and landlocked Atlantic salmon strains throughout their geographical distribution, with the long‐term aim of identifying traits relevant for salmon aquaculture, including fresh and seawater growth, omega‐3 metabolism, smoltification and disease resistance. We used a Pool‐seq approach (n=10‐40 individuals per population) to sequence the genomes of twelve anadromous and six landlocked Atlantic salmon populations covering a large part of the northern hemisphere and conducted a genome‐wide association study to identify genomic regions having been under different selection pressure in landlocked and anadromous strains. A total of 28 genomic regions were identified, and included cadm1 on Chr 13, and ppargc1a on Chr 18. Seven of the regions additionally displayed consistently reduced heterozygosity in fish obtained from landlocked populations, including the genes gpr132, cdca4 and sertad2 on Chr 15. We also found 16 regions, including igf1 on Chr 17, which consistently display reduced heterozygosity in the anadromous populations compared to the freshwater populations, indicating relaxed selection on traits associated with anadromy in landlocked salmon. In conclusion, we have identified 37 regions which may harbor genetic variation relevant for improving fish welfare and quality in the salmon farming industry and for understanding life history traits in fish.

","language":"English","publisher":"Wiley","doi":"10.1111/eva.13129","usgsCitation":"Kjaerner-Semb, E., Edvardsen, R.B., Ayllon, F., Vogelsang, P., Furmanek, T., Rubin, C.J., Vaselov, A.E., Nilsen, T.O., McCormick, S.D., Primmer, C.R., and Wargelius, A., 2021, Comparison of anadromous and landlocked Atlantic salmon genomes reveals signatures of parallel and relaxed selection across the northern hemisphere: Evolutionary Applications, v. 14, no. 2, p. 446-461, https://doi.org/10.1111/eva.13129.","productDescription":"16 p.","startPage":"446","endPage":"461","ipdsId":"IP-118710","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":454445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.13129","text":"Publisher Index Page"},{"id":378559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kjaerner-Semb, Erik 0000-0001-7160-6710","orcid":"https://orcid.org/0000-0001-7160-6710","contributorId":240965,"corporation":false,"usgs":false,"family":"Kjaerner-Semb","given":"Erik","email":"","affiliations":[{"id":48174,"text":"Inst of Marine Research","active":true,"usgs":false}],"preferred":false,"id":799182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edvardsen, Rolf B","contributorId":240966,"corporation":false,"usgs":false,"family":"Edvardsen","given":"Rolf","email":"","middleInitial":"B","affiliations":[{"id":48174,"text":"Inst of Marine Research","active":true,"usgs":false}],"preferred":false,"id":799183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayllon, Fernando","contributorId":240967,"corporation":false,"usgs":false,"family":"Ayllon","given":"Fernando","email":"","affiliations":[{"id":48174,"text":"Inst of Marine Research","active":true,"usgs":false}],"preferred":false,"id":799184,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogelsang, Petra","contributorId":240968,"corporation":false,"usgs":false,"family":"Vogelsang","given":"Petra","email":"","affiliations":[{"id":48174,"text":"Inst of Marine Research","active":true,"usgs":false}],"preferred":false,"id":799185,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furmanek, Tomasz","contributorId":240969,"corporation":false,"usgs":false,"family":"Furmanek","given":"Tomasz","email":"","affiliations":[{"id":48174,"text":"Inst of Marine Research","active":true,"usgs":false}],"preferred":false,"id":799186,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rubin, Carl Johan","contributorId":240970,"corporation":false,"usgs":false,"family":"Rubin","given":"Carl","email":"","middleInitial":"Johan","affiliations":[{"id":37671,"text":"Uppsala University","active":true,"usgs":false}],"preferred":false,"id":799187,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vaselov, Alexey E.","contributorId":240983,"corporation":false,"usgs":false,"family":"Vaselov","given":"Alexey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":799228,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nilsen, Tom Ole","contributorId":240971,"corporation":false,"usgs":false,"family":"Nilsen","given":"Tom","email":"","middleInitial":"Ole","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":799188,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":799189,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Primmer, Craig R","contributorId":240972,"corporation":false,"usgs":false,"family":"Primmer","given":"Craig","email":"","middleInitial":"R","affiliations":[{"id":48177,"text":"Univ of Helsinki","active":true,"usgs":false}],"preferred":false,"id":799190,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wargelius, Anna","contributorId":240973,"corporation":false,"usgs":false,"family":"Wargelius","given":"Anna","email":"","affiliations":[{"id":48174,"text":"Inst of Marine Research","active":true,"usgs":false}],"preferred":false,"id":799191,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70218228,"text":"70218228 - 2021 - Latitudinal patterns of alien plant invasions","interactions":[],"lastModifiedDate":"2021-02-19T18:17:36.387653","indexId":"70218228","displayToPublicDate":"2020-09-10T12:16:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Latitudinal patterns of alien plant invasions","docAbstract":"

Latitudinal patterns of biodiversity have long been a central topic in ecology and evolutionary biology. However, while most previous studies have focused on native species, little effort has been devoted to latitudinal patterns of plant invasions (with a few exceptions based on data from sparse locations). Using the most up‐to‐date worldwide native and alien plant distribution data from 801 regions (including islands), we compared invasion levels (i.e. alien richness/total richness) in the Northern and Southern Hemispheres and across continental regions and islands around the globe. Results from quantile regressions using B‐splines to model nonlinearity showed (1) declining richness with increasing latitude, although the highest alien richness occurs at around 40 degrees in both hemispheres, (2) decreasing invasion levels towards higher latitudes on islands but a unimodal pattern in invasion level in continental regions in each hemisphere, (3) significantly higher invasion levels on islands than in continental regions and (4) a greater variability in invasion levels on islands at low latitudes than on high‐latitude islands. In continental regions, only the mid‐latitudes had high variability with both low and high invasion levels. Our findings identified latitudes with invasion hotspots where management is urgently needed, and latitudes with many areas of low invasions but high conservation potential where prevention of future invasions should be the priority.

","language":"English","publisher":"Wiley","doi":"10.1111/jbi.13943","usgsCitation":"Guo, Q., Cade, B.S., Dawson, W., Essl, F., Kreft, H., Pergl, J., van Kleunen, M., Weigelt, P., Winter, M., and Pyšek, P., 2021, Latitudinal patterns of alien plant invasions: Journal of Biogeography, v. 48, no. 2, p. 253-262, https://doi.org/10.1111/jbi.13943.","productDescription":"10 p.","startPage":"253","endPage":"262","ipdsId":"IP-119112","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":454448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.13943","text":"Publisher Index Page"},{"id":383380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Guo, Qinfeng","contributorId":214263,"corporation":false,"usgs":false,"family":"Guo","given":"Qinfeng","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":810509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":810510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Wayne","contributorId":193105,"corporation":false,"usgs":false,"family":"Dawson","given":"Wayne","email":"","affiliations":[],"preferred":false,"id":810511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Essl, Franz","contributorId":167872,"corporation":false,"usgs":false,"family":"Essl","given":"Franz","email":"","affiliations":[{"id":24846,"text":"Division of Conservation Biology, Vegetation and Landscape Ecology, University of Vienna","active":true,"usgs":false}],"preferred":false,"id":810512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kreft, Holger","contributorId":193108,"corporation":false,"usgs":false,"family":"Kreft","given":"Holger","email":"","affiliations":[],"preferred":false,"id":810513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pergl, Jan","contributorId":193109,"corporation":false,"usgs":false,"family":"Pergl","given":"Jan","email":"","affiliations":[],"preferred":false,"id":810514,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van Kleunen, Mark","contributorId":193107,"corporation":false,"usgs":false,"family":"van Kleunen","given":"Mark","email":"","affiliations":[],"preferred":false,"id":810515,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weigelt, Patrick","contributorId":193111,"corporation":false,"usgs":false,"family":"Weigelt","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":810516,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Winter, Marten","contributorId":178720,"corporation":false,"usgs":false,"family":"Winter","given":"Marten","email":"","affiliations":[],"preferred":false,"id":810517,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pyšek, Petr","contributorId":251754,"corporation":false,"usgs":false,"family":"Pyšek","given":"Petr","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":810518,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70219208,"text":"70219208 - 2021 - Assessing the ecological risks of per‐ and polyfluoroalkyl substances: Current state‐of‐the science and a proposed path forward","interactions":[],"lastModifiedDate":"2021-04-01T11:26:50.678979","indexId":"70219208","displayToPublicDate":"2020-09-08T06:56:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the ecological risks of per‐ and polyfluoroalkyl substances: Current state‐of‐the science and a proposed path forward","docAbstract":"

Per‐ and poly‐fluoroalkyl substances (PFAS) encompass a large, heterogenous group of chemicals of potential concern to human health and the environment. Based on information for a few relatively well‐understood PFAS such as perfluorooctane sulfonate and perfluorooctanoate, there is ample basis to suspect that at least a subset can be considered persistent, bioaccumulative, and/or toxic. However, data suitable for determining risks in either prospective or retrospective assessments are lacking for the majority of PFAS. In August 2019, the Society of Environmental Toxicology and Chemistry sponsored a workshop that focused on the state‐of‐the‐science supporting risk assessment of PFAS. The present review summarizes discussions concerning the ecotoxicology and ecological risks of PFAS. First, we summarize currently available information relevant to problem formulation/prioritization, exposure, and hazard/effects of PFAS in the context of regulatory and ecological risk assessment activities from around the world. We then describe critical gaps and uncertainties relative to ecological risk assessments for PFAS and propose approaches to address these needs. Recommendations include the development of more comprehensive monitoring programs to support exposure assessment, an emphasis on research to support the formulation of predictive models for bioaccumulation, and the development of in silico, in vitro, and in vivo methods to efficiently assess biological effects for potentially sensitive species/endpoints. Addressing needs associated with assessing the ecological risk of PFAS will require cross‐disciplinary approaches that employ both conventional and new methods in an integrated, resource‐effective manner. 

","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4869","usgsCitation":"Ankley, G., Cureton, P., Hoke, R.A., Houde, M., Kumar, A., Kurias, J., Lanno, R.P., McCarthy, C., Newsted, J.L., Salice, C.J., Sample, B.E., Sepúlveda, M., Steevens, J.A., and Valsecchi, S., 2021, Assessing the ecological risks of per‐ and polyfluoroalkyl substances: Current state‐of‐the science and a proposed path forward: Environmental Toxicology and Chemistry, v. 40, no. 3, p. 564-605, https://doi.org/10.1002/etc.4869.","productDescription":"42 p.","startPage":"564","endPage":"605","ipdsId":"IP-119653","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":454450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4869","text":"Publisher Index 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Jessy","contributorId":256767,"corporation":false,"usgs":false,"family":"Kurias","given":"Jessy","email":"","affiliations":[{"id":51852,"text":"Environment and Climate Change Canada, Science and Risk Assessment Division, Gatineau, QC, Canada","active":true,"usgs":false}],"preferred":false,"id":813224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lanno, Roman P.","contributorId":218116,"corporation":false,"usgs":false,"family":"Lanno","given":"Roman","email":"","middleInitial":"P.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":813225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCarthy, Chris","contributorId":256768,"corporation":false,"usgs":false,"family":"McCarthy","given":"Chris","email":"","affiliations":[{"id":51853,"text":"Jacobs Engineering Inc., Boston, MA","active":true,"usgs":false}],"preferred":false,"id":813226,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Newsted, John L.","contributorId":175333,"corporation":false,"usgs":false,"family":"Newsted","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":813227,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Salice, Christopher J.","contributorId":143761,"corporation":false,"usgs":false,"family":"Salice","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":813228,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sample, Bradley E.","contributorId":245821,"corporation":false,"usgs":false,"family":"Sample","given":"Bradley","email":"","middleInitial":"E.","affiliations":[{"id":49335,"text":"Ecological Risk, Inc. 15036 Magno Ct., Rancho Murieta, CA","active":true,"usgs":false}],"preferred":false,"id":813229,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sepúlveda, Maria S.","contributorId":256769,"corporation":false,"usgs":false,"family":"Sepúlveda","given":"Maria S.","affiliations":[{"id":51854,"text":"Purdue University, Department of Forestry and Natural Resources, West Layette, IN","active":true,"usgs":false}],"preferred":false,"id":813230,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":813231,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Valsecchi, Sara","contributorId":256770,"corporation":false,"usgs":false,"family":"Valsecchi","given":"Sara","email":"","affiliations":[{"id":51856,"text":"IRSA-CNR Water Research Institute, National Research Council, Brugherio, MB, Italy","active":true,"usgs":false}],"preferred":false,"id":813232,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70228551,"text":"70228551 - 2021 - Estimating abundance of an unmarked, low-density species using camera traps","interactions":[],"lastModifiedDate":"2022-02-14T14:40:43.538737","indexId":"70228551","displayToPublicDate":"2020-09-03T08:31:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance of an unmarked, low-density species using camera traps","docAbstract":"

Estimating abundance of wildlife populations can be challenging and costly, especially for species that are difficult to detect and that live at low densities, such as cougars (Puma concolor). Remote, motion-sensitive cameras are a relatively efficient monitoring tool, but most abundance estimation techniques using remote cameras rely on some or all of the population being uniquely identifiable. Recently developed methods estimate abundance from encounter rates with remote cameras and do not require identifiable individuals. We used 2 methods, the time-to-event and space-to-event models, to estimate the density of 2 cougar populations in Idaho, USA, over 3 winters from 2016–2019. We concurrently estimated cougar density using the random encounter model (REM), an existing camera-based method for unmarked populations, and genetic spatial capture recapture (SCR), an established method for monitoring cougar populations. In surveys for which we successfully estimated density using the SCR model, the time-to-event estimates were more precise and showed comparable variation between survey years. The space-to-event estimates were less precise than the SCR estimates and were more variable between survey years. Compared to REM, time-to-event was more precise and consistent, and space-to-event was less precise and consistent. Low sample sizes made the space-to-event and SCR models inconsistent from survey to survey, and non-random camera placement may have biased both of the camera-based estimators high. We show that camera-based estimators can perform comparably to existing methods for estimating abundance in unmarked species that live at low densities. With the time- and space-to-event models, managers could use remote cameras to monitor populations of multiple species at broader spatial and temporal scales than existing methods allow.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21950","usgsCitation":"Loonam, K.E., Ausband, D., Lukacs, P., Mitchell, M.S., and Robinson, H., 2021, Estimating abundance of an unmarked, low-density species using camera traps: Journal of Wildlife Management, v. 85, no. 1, p. 87-96, https://doi.org/10.1002/jwmg.21950.","productDescription":"10 p.","startPage":"87","endPage":"96","ipdsId":"IP-117334","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.3232421875,\n 42.00032514831621\n ],\n [\n -111.0498046875,\n 42.00032514831621\n ],\n [\n -111.0498046875,\n 44.84029065139799\n ],\n [\n -116.3232421875,\n 44.84029065139799\n ],\n [\n -116.3232421875,\n 42.00032514831621\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Loonam, Kenneth E.","contributorId":276117,"corporation":false,"usgs":false,"family":"Loonam","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":834558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ausband, David E.","contributorId":276111,"corporation":false,"usgs":false,"family":"Ausband","given":"David E.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":834559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lukacs, Paul M.","contributorId":276112,"corporation":false,"usgs":false,"family":"Lukacs","given":"Paul M.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":834560,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Hugh S.","contributorId":276113,"corporation":false,"usgs":false,"family":"Robinson","given":"Hugh S.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":834561,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70213078,"text":"70213078 - 2021 - Resolving species boundaries in the critically imperiled freshwater mussel species, Fusconaia mitchelli (Bivalvia: Unionidae)","interactions":[],"lastModifiedDate":"2021-01-19T16:46:05.336074","indexId":"70213078","displayToPublicDate":"2020-09-02T10:03:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6485,"text":"Journal of Zoological Systematics and Evolutionary Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Resolving species boundaries in the critically imperiled freshwater mussel species, Fusconaia mitchelli (Bivalvia: Unionidae)","title":"Resolving species boundaries in the critically imperiled freshwater mussel species, Fusconaia mitchelli (Bivalvia: Unionidae)","docAbstract":"

Species are a fundamental unit of biology, and defining accurate species boundaries is integral to effective conservation and management of imperiled taxa. Freshwater mussels (Bivalvia: Unionidae) are among the most imperiled groups of organisms in North America, yet species boundaries remain uncertain for many taxa. The False Spike, Fusconaia mitchelli (Simpson in Dall, 1895), is a freshwater mussel considered to be endemic to central Texas (Brazos, Colorado, and Guadalupe drainages). Recent research revealed significant intraspecific genetic variation between geographically separated populations of F. mitchelli, which could be indicative of speciation; however, small sample sizes for several of the populations precluded formal taxonomic revision. Here, we increase taxon sampling and use multilocus DNA sequence data and traditional morphometrics to re‐evaluate species boundaries in F. mitchelli. We sequenced three loci: the protein‐coding mitochondrial DNA genes cytochrome c oxidase subunit 1 and NADH dehydrogenase 1, and the nuclear internal transcribed spacer 1. Phylogenetic analyses depicted deep genetic divergence between F. mitchelli in the Guadalupe and those in the Brazos and Colorado drainages, which was further supported by available biogeographic information. Morphometric analyses and coalescent‐based species delimitation models integrating both DNA sequence and morphological data provided strong support for the divergence observed between the two geographically isolated clades of F. mitchelli. Based on these results, we revise taxonomy accordingly by elevating the junior synonym Fusconaia iheringi (Wright, 1898) to represent the Brazos and Colorado populations and restrict the distribution of F. mitchelli to the Guadalupe River drainage. Our findings may impact pending management decisions to protect F. mitchelli under the U.S. Endangered Species Act.

","language":"English","publisher":"Wiley","doi":"10.1111/jzs.12412","usgsCitation":"Smith, C.H., Johnson, N., Havlik, K., Doyle, R.D., and Randklev, C.R., 2021, Resolving species boundaries in the critically imperiled freshwater mussel species, Fusconaia mitchelli (Bivalvia: Unionidae): Journal of Zoological Systematics and Evolutionary Research, v. 59, no. 1, p. 60-77, https://doi.org/10.1111/jzs.12412.","productDescription":"18 p.","startPage":"60","endPage":"77","ipdsId":"IP-114078","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":436673,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y7K5CD","text":"USGS data release","linkHelpText":"Molecular and morphological data to resolve species boundaries in the critically imperiled freshwater mussel species, Fusconaia mitchelli"},{"id":378265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Chase H. 0000-0002-1499-0311","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":225140,"corporation":false,"usgs":false,"family":"Smith","given":"Chase","email":"","middleInitial":"H.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":798169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nathan 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":205384,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":798170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Havlik, Kaitlyn","contributorId":239935,"corporation":false,"usgs":false,"family":"Havlik","given":"Kaitlyn","email":"","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":798171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doyle, Robert D.","contributorId":239937,"corporation":false,"usgs":false,"family":"Doyle","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":798172,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Randklev, Charles R.","contributorId":202530,"corporation":false,"usgs":false,"family":"Randklev","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":798173,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230605,"text":"70230605 - 2021 - Detecting population declines via monitoring the effective number of breeders (Nb)","interactions":[],"lastModifiedDate":"2022-04-19T15:03:35.91164","indexId":"70230605","displayToPublicDate":"2020-09-02T10:00:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Detecting population declines via monitoring the effective number of breeders (Nb)","title":"Detecting population declines via monitoring the effective number of breeders (Nb)","docAbstract":"

Estimating the effective population size and effective number of breeders per year (Nb) can facilitate early detection of population declines. We used computer simulations to quantify bias and precision of the one-sample LDNe estimator of Nb in age-structured populations using a range of published species life history types, sample sizes, and DNA markers. Nb estimates were biased by ~5%–10% when using SNPs or microsatellites in species ranging from fishes to mosquitoes, frogs, and seaweed. The bias (high or low) was similar for different life history types within a species suggesting that life history variation in populations will not influence Nb estimation. Precision was higher for 100 SNPs (H ≈ 0.30) than for 15 microsatellites (H ≈ 0.70). Confidence intervals (CIs) were occasionally too narrow, and biased high when Nb was small (Nb < 50); however, the magnitude of bias would unlikely influence management decisions. The CIs (from LDNe) were sufficiently narrow to achieve high statistical power (≥0.80) to reject the null hypothesis that Nb = 50 when the true Nb = 30 and when sampling 50 individuals and 200 SNPs. Similarly, CIs were sufficiently narrow to reject Nb = 500 when the true Nb = 400 and when sampling 200 individuals and 5,000 loci. Finally, we present a linear regression method that provides high power to detect a decline in Nb when sampling at least five consecutive cohorts. This study provides guidelines and tools to simulate and estimate Nb for age structured populations (https://github.com/popgengui/agestrucnb/), which should help biologists develop sensitive monitoring programmes for early detection of changes in Nb and population declines.

","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.13251","usgsCitation":"Luikart, G., Antao, T., Hand, B., Muhlfeld, C.C., Boyer, M.C., Corsart, T., Trethewey, B., Al-Chokhachy, R.K., and Waples, R.S., 2021, Detecting population declines via monitoring the effective number of breeders (Nb): Molecular Ecology Resources, v. 21, no. 2, p. 379-393, https://doi.org/10.1111/1755-0998.13251.","productDescription":"15 p.","startPage":"379","endPage":"393","ipdsId":"IP-099662","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":454456,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1755-0998.13251","text":"External Repository"},{"id":399088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Luikart, Gordon","contributorId":97409,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":840880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antao, Tiago","contributorId":290364,"corporation":false,"usgs":false,"family":"Antao","given":"Tiago","email":"","affiliations":[{"id":62410,"text":"The Welcome Trust Centre for Human Genetics","active":true,"usgs":false}],"preferred":false,"id":840881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hand, Brian K.","contributorId":139248,"corporation":false,"usgs":false,"family":"Hand","given":"Brian K.","affiliations":[{"id":12707,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":840882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":290365,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":840883,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyer, Matthew C.","contributorId":48468,"corporation":false,"usgs":false,"family":"Boyer","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":5133,"text":"Montana Fish Wildlife and Parks, Kalispell, Montana 59901","active":true,"usgs":false}],"preferred":false,"id":840884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Corsart, Ted","contributorId":290366,"corporation":false,"usgs":false,"family":"Corsart","given":"Ted","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":840885,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Trethewey, Brian","contributorId":290367,"corporation":false,"usgs":false,"family":"Trethewey","given":"Brian","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":840886,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":840887,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Waples, Robin S.","contributorId":126721,"corporation":false,"usgs":false,"family":"Waples","given":"Robin","email":"","middleInitial":"S.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":840888,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}