{"pageNumber":"438","pageRowStart":"10925","pageSize":"25","recordCount":184606,"records":[{"id":70195667,"text":"sir20175013v2 - 2021 - The HayWired earthquake scenario—Engineering implications","interactions":[{"subject":{"id":70195667,"text":"sir20175013v2 - 2021 - The HayWired earthquake scenario—Engineering implications","indexId":"sir20175013v2","publicationYear":"2021","noYear":false,"chapter":"I–Q","displayTitle":"The HayWired Earthquake Scenario—Engineering Implications","title":"The HayWired earthquake scenario—Engineering implications"},"predicate":"IS_PART_OF","object":{"id":70187004,"text":"sir20175013 - 2017 - The HayWired Earthquake Scenario","indexId":"sir20175013","publicationYear":"2017","noYear":false,"title":"The HayWired Earthquake Scenario"},"id":1}],"isPartOf":{"id":70187004,"text":"sir20175013 - 2017 - The HayWired Earthquake Scenario","indexId":"sir20175013","publicationYear":"2017","noYear":false,"title":"The HayWired Earthquake Scenario"},"lastModifiedDate":"2022-04-04T11:06:30.831971","indexId":"sir20175013v2","displayToPublicDate":"2021-12-14T15:01:57","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5013","chapter":"I–Q","displayTitle":"The HayWired Earthquake Scenario—Engineering Implications","title":"The HayWired earthquake scenario—Engineering implications","docAbstract":"<p>The HayWired Earthquake Scenario—Engineering Implications is the second volume of U.S. Geological Survey (USGS) Scientific Investigations Report 2017–5013, which describes the HayWired scenario, developed by USGS and its partners. The scenario is a hypothetical yet scientifically realistic earthquake sequence that is being used to better understand hazards for the San Francisco Bay region during and after a magnitude-7 earthquake (mainshock) on the Hayward Fault and its aftershocks.</p><p>Analyses in this volume suggest that (1) 800 deaths and 16,000 nonfatal injuries result from shaking alone, plus property and direct business interruption losses of more than <span>$</span>82 billion from shaking, liquefaction, and landslides; (2) the building code is designed to protect lives, but even if all buildings in the region complied with current building codes, 0.4 percent could collapse, 5 percent could be unsafe to occupy, and 19 percent could have restricted use; (3) people expect, prefer, and would be willing to pay for greater resilience of buildings; (4) more than 22,000 people could require extrication from stalled elevators, and more than 2,400 people could require rescue from collapsed buildings; (5) the average east-bay resident could lose water service for 6 weeks, some for as long as 6 months; (6) older steel-frame high-rise office buildings and new reinforced-concrete residential buildings in downtown San Francisco and Oakland could be unusable for as long as 10 months; (7) about 450 large fires could result in a loss of residential and commercial building floor area equivalent to more than 52,000 single-family homes and cause property (building and content) losses approaching $30 billion; and (8) combining earthquake early warning (ShakeAlert) with “drop, cover, and hold on” actions could prevent as many as 1,500 nonfatal injuries out of 18,000 total estimated nonfatal injuries from shaking and liquefaction hazards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175013v2","usgsCitation":"Detweiler, S.T., and Wein, A.M., eds., 2018, The HayWired earthquake scenario—Engineering implications (ver. 1.1, April 2022): U.S. Geological Survey Scientific Investigations Report 2017–5013–I–Q, 429 p., https://doi.org/10.3133/sir20175013v2.","productDescription":"xviii, 429 p.","numberOfPages":"229","onlineOnly":"Y","ipdsId":"IP-064538","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":396055,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5013/sir20175013_iq.pdf","text":"Report","size":"200 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5013 Chapters I to Q"},{"id":392924,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20213054","text":"Fact Sheet 2021-3054","linkHelpText":"– The HayWired Earthquake Scenario—Societal Consequences"},{"id":392923,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20183016","text":"Fact Sheet 2018-3016","linkHelpText":"– The HayWired Earthquake Scenario—We Can Outsmart Disaster"},{"id":392922,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013V3","text":"Scientific Investigations Report 2017-5013 Volume 3","linkHelpText":"– The HayWired Earthquake Scenario—Societal Consequences"},{"id":392921,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013v1","text":"Scientific Investigations Report 2017-5013 Volume 1","linkHelpText":"– The HayWired Earthquake Scenario—Earthquake Hazards"},{"id":397990,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2017/5013/versionHist_iq.txt"},{"id":392918,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5013/coverthbiq2.jpg"},{"id":392920,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013","text":"Scientific Investigations Report 2017-5013","linkHelpText":"– The HayWired Earthquake Scenario"}],"edition":"Version 1.1: April 2022; Version 1.0: April 2018","contact":"<p><a href=\"https://www.usgs.gov/natural-hazards/earthquake-hazards/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/natural-hazards/earthquake-hazards/connect\">Contact Information</a>, Menlo Park, Calif.<br><a href=\"https://earthquake.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://earthquake.usgs.gov/\">Office—Earthquake Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road, MS 977<br>Menlo Park, CA 94025</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-04-18","revisedDate":"2022-04-01","noUsgsAuthors":false,"publicationDate":"2018-04-18","publicationStatus":"PW","scienceBaseUri":"5afee6dae4b0da30c1bfbea8","contributors":{"editors":[{"text":"Detweiler, Shane T. 0000-0001-5699-011X shane@usgs.gov","orcid":"https://orcid.org/0000-0001-5699-011X","contributorId":680,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":810134,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wein, Anne M. 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":192951,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":828420,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70226829,"text":"ofr20211094 - 2021 - Geochronologic, isotopic, and geochemical data from pre-Cretaceous plutonic rocks in the Lane Mountain area, San Bernardino County, California","interactions":[],"lastModifiedDate":"2023-03-29T17:44:09.016282","indexId":"ofr20211094","displayToPublicDate":"2021-12-14T12:02:52","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1094","displayTitle":"Geochronologic, Isotopic, and Geochemical Data from Pre- Cretaceous Plutonic Rocks in the Lane Mountain Area, San Bernardino County, California","title":"Geochronologic, isotopic, and geochemical data from pre-Cretaceous plutonic rocks in the Lane Mountain area, San Bernardino County, California","docAbstract":"<p>Pre-Cretaceous, predominantly dioritic plutonic rocks in the Lane Mountain area, California, intrude metasedimentary and metavolcanic rocks considered part of the El Paso terrane. New geochronologic (uranium-lead zircon), geochemical, and isotopic data provide a reliable basis for dividing these pre-Cretaceous plutonic rocks into two mappable suites of Permian–Triassic and Late Jurassic ages. The 26 Permian–Triassic samples included in this report have a mean age of ~248 mega-annum (Ma), range in composition from monzodiorite to quartz monzonite and granodiorite, and have a mean initial <sup>87</sup>Sr/<sup>86</sup>Sr ratio (Sri) of ~0.7045. The 22 Late Jurassic samples have a mean age of ~149 Ma, range in composition from gabbro to granite, and have a mean Sr<sub>i</sub> of ~0.7055. Accurate mapping of these two plutonic suites and their detailed field relations with the associated metamorphic rocks is essential for resolving the geologic history and regional tectonic significance of the Lane Mountain area.</p><p>The sub-0.706 Sr<sub>i</sub> values of both plutonic suites at Lane Mountain are consistent with previous suggestions that the El Paso terrane is allochthonous and did not develop on Precambrian continental lithosphere. Both suites are considered parts of northwest-trending magmatic arcs interpreted to have formed above east-dipping subduction zones along the evolving North American continental margin, and both arcs are interpreted to cross a major east-west-trending boundary between the El Paso terrane and rocks considered part of ancestral North America in the San Bernardino Mountains area to the south. The El Paso terrane thus appears to have been attached to the San Bernardino Mountains area at least since Permian–Triassic time, although the boundary probably has been modified by Cenozoic faulting.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211094","usgsCitation":"Stone, P., Brown, H.J., Cecil, M.R., Fleck, R.J., Vazquez, J.A., and Fitzpatrick, J.A., 2021, Geochronologic, isotopic, and geochemical data from pre-Cretaceous plutonic rocks in the Lane Mountain area, San Bernardino County, California: U.S. Geological Survey Open-File Report 2021–1094, 74 p., https://doi.org/10.3133/ofr20211094.","productDescription":"viii, 74 p.","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-121822","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":436088,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KRD45S","text":"USGS data release","linkHelpText":"Tabular geochronologic, geochemical, and isotopic data from igneous rocks in the Lane Mountain area, San Bernardino County, California"},{"id":414904,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20221115","text":"Open-File Report 2022-1115","description":"Stone, P., Cecil, M.R., Brown, H.J., and Vazquez, J.A., 2023, Geochronologic and geochemical data from metasedimentary and associated rocks in the Lane Mountain area, San Bernardino County, California: U.S. Geological Survey Open-File Report 2022–1115, 34 p., https://doi.org/10.3133/ofr20221115.","linkHelpText":"- Geochronologic and Geochemical Data from Metasedimentary and Associated Rocks in the Lane Mountain Area, San Bernardino County, California"},{"id":392864,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20191070","text":"Open-File Report 2019-1070","linkHelpText":"- Geochronologic, Isotopic, and Geochemical Data from Igneous Rocks in the Lane Mountain Area, San Bernardino County, California"},{"id":392863,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1094/ofr20211094.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":392862,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1094/covrthb.jpg"}],"country":"United States","state":"California","county":"San Berdardino 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Bernardino\",\"state\":\"CA\"}}]}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg/connect\">Contact Information</a>,<br><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Menlo Park, California</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Building 19, 350 N. Akron Rd.<br>P.O. Box 158<br>Moffett Field, CA 94035</p>","tableOfContents":"<ul><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Methods&nbsp;&nbsp;</li><li>Analytical Results&nbsp;&nbsp;</li><li>Map Relations in the Lane Mountain Area&nbsp;&nbsp;</li><li>Regional Relations&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>Acknowledgements&nbsp;&nbsp;</li><li>References Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-12-14","noUsgsAuthors":false,"publicationDate":"2021-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":828413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Howard J.","contributorId":89582,"corporation":false,"usgs":true,"family":"Brown","given":"Howard J.","affiliations":[],"preferred":false,"id":828414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cecil, M. Robinson 0000-0003-1948-1919","orcid":"https://orcid.org/0000-0003-1948-1919","contributorId":216566,"corporation":false,"usgs":false,"family":"Cecil","given":"M.","email":"","middleInitial":"Robinson","affiliations":[{"id":39477,"text":"California State University Northridge","active":true,"usgs":false}],"preferred":true,"id":828415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":828416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":828417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fitzpatrick, John A. 0000-0001-6738-7180 jfitzpat@usgs.gov","orcid":"https://orcid.org/0000-0001-6738-7180","contributorId":3719,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"John","email":"jfitzpat@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":828418,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70226828,"text":"pp1867C - 2021 - Crater growth and lava-lake dynamics revealed through multitemporal terrestrial lidar scanning at Kīlauea Volcano, Hawaiʻi","interactions":[{"subject":{"id":70226828,"text":"pp1867C - 2021 - Crater growth and lava-lake dynamics revealed through multitemporal terrestrial lidar scanning at Kīlauea Volcano, Hawaiʻi","indexId":"pp1867C","publicationYear":"2021","noYear":false,"chapter":"C","displayTitle":"Crater Growth and Lava-Lake Dynamics Revealed Through Multitemporal Terrestrial Lidar Scanning at Kīlauea Volcano, Hawaiʻi","title":"Crater growth and lava-lake dynamics revealed through multitemporal terrestrial lidar scanning at Kīlauea Volcano, Hawaiʻi"},"predicate":"IS_PART_OF","object":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"id":1}],"isPartOf":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"lastModifiedDate":"2024-06-26T15:52:46.463119","indexId":"pp1867C","displayToPublicDate":"2021-12-14T10:04:56","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1867","chapter":"C","displayTitle":"Crater Growth and Lava-Lake Dynamics Revealed Through Multitemporal Terrestrial Lidar Scanning at Kīlauea Volcano, Hawaiʻi","title":"Crater growth and lava-lake dynamics revealed through multitemporal terrestrial lidar scanning at Kīlauea Volcano, Hawaiʻi","docAbstract":"<p>Lava lake surfaces display the tops of active magma columns and respond to eruption variables such as magmatic pressure, convection, degassing, and cooling, as well as interactions with the craters that contain them. However, they are challenging to study owing to the numerous hazards that accompany these eruptions, and they are typically difficult to observe because the emitted gas plumes obscure the lava lake surfaces. The 2008–2018 Overlook crater and lava lake at Kīlauea Volcano, Hawaiʻi, provided a remarkable opportunity to study several high-resolution data streams of eruption variables that impacted the lava lake. To investigate how the crater and associated lava lake responded to changes in these eruption variables, we acquired terrestrial light detection and ranging (lidar) surveys of the Overlook crater and lava lake surface from February 2012 through December 2013, supplemented with several earlier terrestrial and airborne lidar datasets, to quantitatively track changes in the shape of the lava lake surface and the crater walls. Lidar captures high-resolution data even when the lake is completely obscured by thick gas plumes. We used a novel “unrolling technique” to map volumetric changes in crater shape, because standard elevation differencing fails to capture all topographic changes on the nearly vertical, and sometimes overhanging, crater walls. We measured crater perimeter growth rates of approximately 52 meters per year from 2009 to 2013, with the greatest growth occurring along a line linking areas of persistent upwelling and downwelling. We suggest that the development of an oblong crater with a perimeter that grows linearly is best explained by a model where degradation is favored at the sites of persistent upwelling and downwelling and where growth is controlled by a lithology that varies little with respect to rock strength. We also found that most of the Overlook crater growth occurred during a relatively small number of significant rockfall events (~16) over this period. Additional lidar datasets revealed that the lava lake surface has a measurable slope from the areas of persistent upwelling to downwelling, although rockfalls from the crater walls temporarily changed the direction of crustal plate movement along with the magnitude and direction of the lava lake surface slope. Our study demonstrates that lidar is an effective tool for tracking the topography of an active volcanic crater when heavy outgassing renders other tools, such as structure from motion, ineffective.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1867C","usgsCitation":"LeWinter, A.L., Anderson, S.W., Finnegan, D.C., Patrick, M.R., and Orr, T.R., 2021, Crater growth and lava-lake dynamics revealed through multitemporal terrestrial lidar scanning at Kīlauea Volcano, Hawaiʻi, chap. C <em>of</em> Patrick, M., Orr, T., Swanson, D., and Houghton, B., eds., The 2008–2018 summit lava lake at Kīlauea Volcano, Hawaiʻi: U.S. Geological Survey Professional Paper 1867, 26 p., https://doi.org/10.3133/pp1867C.","productDescription":"viii, 26 p.","numberOfPages":"26","onlineOnly":"N","ipdsId":"IP-121567","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":392860,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1867/c/covrthb.jpg"},{"id":392861,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1867/c/pp1867c.pdf","text":"Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.3192138671875,\n              19.37593175537523\n            ],\n            [\n              -155.21896362304685,\n              19.37593175537523\n            ],\n            [\n              -155.21896362304685,\n              19.460118162137714\n            ],\n            [\n              -155.3192138671875,\n              19.460118162137714\n            ],\n            [\n              -155.3192138671875,\n              19.37593175537523\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:askHVO@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:askHVO@usgs.gov\">Contact HVO</a><br><a href=\"https://www.usgs.gov/observatories/hawaiian-volcano-observatory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/observatories/hawaiian-volcano-observatory\">Hawaiian Volcano Observatory</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov\">U.S. Geological Survey</a><br>1266 Kamehameha Avenue<br>Suite A-8<br>Hilo, HI 96720</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Background&nbsp;&nbsp;</li><li>Methodology&nbsp;&nbsp;</li><li>Results&nbsp;&nbsp;</li><li>Discussion&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>References&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-12-14","noUsgsAuthors":false,"publicationDate":"2021-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"LeWinter, Adam L.","contributorId":241892,"corporation":false,"usgs":false,"family":"LeWinter","given":"Adam","email":"","middleInitial":"L.","affiliations":[{"id":48447,"text":"U.S. Army Corps of Engineers Cold Regions Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":828408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Steve W.","contributorId":192765,"corporation":false,"usgs":false,"family":"Anderson","given":"Steve","email":"","middleInitial":"W.","affiliations":[],"preferred":true,"id":828409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finnegan, David C.","contributorId":192073,"corporation":false,"usgs":false,"family":"Finnegan","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":true,"id":828410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":828411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Orr, Tim R. 0000-0003-1157-7588","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":214065,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":828412,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70226624,"text":"sim3480 - 2021 - Geologic map of the Aeolis Dorsa Region, Mars","interactions":[],"lastModifiedDate":"2023-03-20T18:15:52.30554","indexId":"sim3480","displayToPublicDate":"2021-12-14T09:40:05","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3480","displayTitle":"Geologic Map of the Aeolis Dorsa Region, Mars","title":"Geologic map of the Aeolis Dorsa Region, Mars","docAbstract":"<p>The Aeolis Dorsa region of Mars, located just north of the global dichotomy boundary, includes the Aeolis and Zephyria Plana, and a depositional basin between them. This interplana region consists of extensive networks of ridges—the eponymous Aeolis Dorsa—and is interpreted as having formed by topographic inversion of fluvial and alluvial deposits. To the south is a nearly 1-km-deep trough (Aeolis Chaos) and the southern highlands. These elements of the map area compose a landscape of extensive erosional and depositional sedimentary processes. The plana are pervasively abraded into yardangs, and the interplana area shows scattered yardangs superposed on the underlying terrain. The Aeolis Dorsa fluvial deposits are concentrated within and around the margins of the interplana region, exposed and (or) inverted by this pervasive aeolian abrasion. During this period of extensive erosion and deposition, impacts have also redistributed material. The geologic mapping of this region, conducted at 1:500,000 scale to enable depiction of the fine-scale fluvial features, divides the landscape into six unit groups. The highlands units group comprises three units, located in the southwestern map area. These units, having the highest elevation in the map area, consist of mesas surrounded by more gently sloping terrain. The transitional units group, located northeast of the highlands units, includes the Aeolis Chaos, denoted as a chaos terrain unit, and two transitional units, differentiated on the basis of surface texture and relative elevation. The plana units group comprises five units. The oldest unit consists of mesas similar to those of the highlands mesas unit but located about 200 kilometers north of the highlands in Aeolis Planum. Three other plana units, located on the Aeolis and Zephyria Plana, are differentiated on the basis of yardang texture, crosscutting relations, and relative elevations. They are interpreted as abraded sedimentary and (or) volcaniclastic deposits. The fifth plana unit, which crops out in the north corners of the map area, is at low elevation, has numerous small craters, and is interpreted as cratered lava plains. The interplana units group hosts a hummocky unit and a mounds unit, differentiated on the basis of texture and relief. In the Aeolis Dorsa units group, four units are mapped on the basis of dorsa morphology and adjacent textures. Stratigraphic relations indicate a decrease in discharge over time. The crater units group includes a crater unit, found throughout the map area although concentrated within the interplana region, and a crater fill unit that is found within several craters in this interplana region. Based on this mapping, the interpretation of the regional geologic record begins with emplacement of the highlands terrain during the Noachian Period. Emplacement was followed during the Early Hesperian by erosion and redistribution of this high-standing terrain to form the transitional units, and Aeolis Chaos formed after deposition of the other transitional units. The high-standing plana were emplaced and eroded repeatedly throughout the Hesperian and Early Amazonian time, and impact cratering occurred at decreasing crater sizes. The fluvial and alluvial activity that gave rise to the Aeolis Dorsa also extended throughout this time, leaving their diagnostic signature on this region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3480","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Burr, D.M., Jacobsen, R.E., Lefort A., Borden R.M., and Peel, S.E., 2021, Geologic map of the Aeolis Dorsa Region, Mars: U.S. Geological Survey Scientific Investigations Map 3480, pamphlet 11 p., 1 sheet, scale 1:500,000, https://doi.org/10.3133/sim3480.","productDescription":"Report: iv, 11 p.; 1 Sheet: 52.47 x 51.39 inches;Data Set; Metadata; Read Me","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-106181","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":436090,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9338VHZ","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3480 Geologic Map of the Aeolis Dorsa Region, Mars"},{"id":392283,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3480/covrthb.jpg"},{"id":392404,"rank":2,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3480/sim3480_metadata.txt","size":"5 KB","linkFileType":{"id":2,"text":"txt"}},{"id":392405,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3480/sim3480_metadata.xml","size":"5 KB","linkFileType":{"id":8,"text":"xml"}},{"id":405426,"rank":9,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9338VHZ","text":"Interactive map","description":"Burr, D.M., Jacobsen, R.E., Lefort A., Borden R.M., and Peel, S.E., 2021, Geologic map of the Aeolis Dorsa Region, Mars: U.S. Geological Survey Scientific Investigations Map 3480, pamphlet 11 p., 1 sheet, scale 1:500,000, https://doi.org/10.3133/sim3480","linkHelpText":"- Geologic Map of Aeolis Dorsa, 1:500K. Burr et al. (2021)"},{"id":392859,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/sim/3480/sim3480_gis2.zip.002","text":"GIS Files and Database Part 2 of 2","size":"4 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Both files need to be downloaded before unzipping"},{"id":392409,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://pubs.usgs.gov/sim/3480/sim3480_gis1.zip.001","text":"GIS Files and Database Part 1 of 2","size":"7 GB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Both files need to be downloaded before unzipping"},{"id":392408,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3480/sim3480_sheet.pdf","size":"32 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Geologic Map of the Aeolis Dorsa Region, Mars"},{"id":392407,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3480/sim3480_pamphlet.pdf","size":"1 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":392406,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3480/sim3480_readme.txt","size":"5 KB","linkFileType":{"id":2,"text":"txt"}}],"otherGeospatial":"Mars","contact":"<p><a href=\"https://www.usgs.gov/centers/astrogeology-science-center/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center/connect\">Contact Astrogeology Research Program staff</a><br><a href=\"https://www.usgs.gov/centers/astrogeology-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center\">Astrogeology Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>2255 N. Gemini Dr.<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Introduction&nbsp;&nbsp;</li><li>Geography&nbsp;&nbsp;</li><li>Base Map and Data&nbsp;&nbsp;</li><li>Methodology&nbsp;&nbsp;</li><li>Age Determinations&nbsp;&nbsp;</li><li>Geologic Summary&nbsp;&nbsp;</li><li>Acknowledgments&nbsp;&nbsp;</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-12-14","noUsgsAuthors":false,"publicationDate":"2021-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Burr, Devon M.","contributorId":229491,"corporation":false,"usgs":false,"family":"Burr","given":"Devon M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":827521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobsen, Robert E.","contributorId":12572,"corporation":false,"usgs":true,"family":"Jacobsen","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":827522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lefort, Alexandra","contributorId":210512,"corporation":false,"usgs":false,"family":"Lefort","given":"Alexandra","email":"","affiliations":[],"preferred":false,"id":827523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borden, Rose M.","contributorId":269603,"corporation":false,"usgs":true,"family":"Borden","given":"Rose","email":"","middleInitial":"M.","affiliations":[],"preferred":true,"id":827524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peel, Samantha E.","contributorId":269604,"corporation":false,"usgs":true,"family":"Peel","given":"Samantha","email":"","middleInitial":"E.","affiliations":[],"preferred":true,"id":827525,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70266206,"text":"70266206 - 2021 - Tools for increasing visual encounter probabilities for invasive species removal: A case study of brown treesnakes","interactions":[],"lastModifiedDate":"2025-04-30T16:23:09.681251","indexId":"70266206","displayToPublicDate":"2021-12-14T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5071,"text":"NeoBiota","active":true,"publicationSubtype":{"id":10}},"title":"Tools for increasing visual encounter probabilities for invasive species removal: A case study of brown treesnakes","docAbstract":"Early detection and rapid response (EDRR) are essential to identifying and decisively responding to the introduction or spread of an invasive species, thus avoiding population establishment and improving the probability of achieving eradication. However, detection can be challenging at the onset of a species invasion as low population densities can reduce detection probability and conceal the true extent of the situation until the species is well established. This is doubly challenging if the invading species displays cryptic behavior or is nocturnal, thus further limiting opportunities for its discovery. Survey methods that maximize a searcher’s ability to detect an incipient population are therefore critical for successful EDRR. Brown treesnakes (Boiga irregularis) on Guåhan are a classic cautionary example of the dangers of not detecting an invasion early on, and the risk of their introduction to other islands within the Marianas, Hawai’i and beyond remains. Nocturnal visual surveys are known to detect brown treesnakes of all sizes and are the primary detection tool used by the Brown Treesnake Rapid Response Team, but detection probability remains low in complex forest habitats. As such, we investigated the use of two potential enhancements to nocturnal visual surveys – a live mouse lure and spray scent attractant – that may create hotspots of increased detection probability during surveys. We found that, while brown treesnake detection probabilities were low for all surveys, visual surveys conducted on transects with live mouse lures resulted in detection probabilities that were 1.3 times higher than on transects without live mouse lures. Conversely, the spray scent attractant did not increase the probability of detecting brown treesnakes compared to transects without scent, and in fact had detection probabilities that were 0.66 times lower, though the reasons for this phenomenon are unclear. Unlike scent attractants, live mouse lures likely provide both visual and olfactory cues that attract brown treesnakes to transects and thus provide more opportunities to detect and capture them. These enhancements were trialed on Guåhan, where prey populations are depressed. It remains unclear whether live mouse lures will be as effective for EDRR applications in prey-rich settings.","language":"English","publisher":"Pensoft Publishers","doi":"10.3897/neobiota.70.71379","usgsCitation":"Amburgey, S., Yackel Adams, A.A., Gardner, B., Lardner, B., and Converse, S.J., 2021, Tools for increasing visual encounter probabilities for invasive species removal: A case study of brown treesnakes: NeoBiota, v. 70, p. 107-122, https://doi.org/10.3897/neobiota.70.71379.","productDescription":"16 p.","startPage":"107","endPage":"122","ipdsId":"IP-131433","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487893,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.70.71379","text":"Publisher Index Page"},{"id":485217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Guam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              144.59034337332935,\n              13.707478901923295\n            ],\n            [\n              144.59034337332935,\n              13.230918309325034\n            ],\n            [\n              144.980437460598,\n              13.230918309325034\n            ],\n            [\n              144.980437460598,\n              13.707478901923295\n            ],\n            [\n              144.59034337332935,\n              13.707478901923295\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"70","noUsgsAuthors":false,"publicationDate":"2021-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Amburgey, Staci M.","contributorId":353985,"corporation":false,"usgs":false,"family":"Amburgey","given":"Staci M.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":934923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":934924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Beth","contributorId":353986,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":934925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lardner, Bjorn","contributorId":353987,"corporation":false,"usgs":false,"family":"Lardner","given":"Bjorn","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":934926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":934922,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228322,"text":"70228322 - 2021 - Digital Twin Earth - Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators","interactions":[],"lastModifiedDate":"2022-02-08T16:03:08.143881","indexId":"70228322","displayToPublicDate":"2021-12-13T10:00:10","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Digital Twin Earth - Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators","docAbstract":"Developing fast and accurate surrogates for physics-based coastal and ocean mod- els is an urgent need due to the coastal flood risk under accelerating sea level rise, and the computational expense of deterministic numerical models. For this purpose, we develop the first digital twin of Earth coastlines with new physics-informed machine learning techniques extending the state-of-art Neural Operator. As a proof-of-concept study, we built Fourier Neural Operator (FNO) surrogates on the simulations of an industry-standard coastal and ocean model – Nucleus for Euro- pean Modelling of the Ocean (NEMO). The resulting FNO surrogate accurately predicts the sea surface height in most regions while achieving upwards of 45x acceleration of NEMO. We delivered an open-source CoastalTwin platform in an end-to-end and modular way, to enable easy extensions to other simulations and ML-based surrogate methods. Our results and deliverable provide a promising approach to massively accelerate coastal dynamics simulators, which can enable scientists to efficiently execute many simulations for decision-making, uncertainty quantification, and other research activities.","conferenceTitle":"Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021)","conferenceDate":"December 13, 2021","language":"English","usgsCitation":"Jiang, P., Meinert, N., Jordao, H., Weisser, C., Holgate, S., Lavin, A., Lutjens, B., Newman, D., Wainright, H., Walker, C., and Barnard, P.L., 2021, Digital Twin Earth - Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators, Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021), December 13, 2021, 7 p.","productDescription":"7 p.","ipdsId":"IP-133822","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":395624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395603,"type":{"id":15,"text":"Index Page"},"url":"https://ml4physicalsciences.github.io/2021/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jiang, P.","contributorId":275155,"corporation":false,"usgs":false,"family":"Jiang","given":"P.","email":"","affiliations":[{"id":56728,"text":"Pacific NW National Lab","active":true,"usgs":false}],"preferred":false,"id":833732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meinert, N.","contributorId":275156,"corporation":false,"usgs":false,"family":"Meinert","given":"N.","email":"","affiliations":[{"id":48419,"text":"German Aerospace Center (DLR)","active":true,"usgs":false}],"preferred":false,"id":833733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordao, H.","contributorId":275157,"corporation":false,"usgs":false,"family":"Jordao","given":"H.","email":"","affiliations":[{"id":56731,"text":"CERENA, Universidade de Lisboa, Portugal","active":true,"usgs":false}],"preferred":false,"id":833734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weisser, C.","contributorId":275158,"corporation":false,"usgs":false,"family":"Weisser","given":"C.","email":"","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":833735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holgate, S.","contributorId":275159,"corporation":false,"usgs":false,"family":"Holgate","given":"S.","email":"","affiliations":[{"id":56732,"text":"IBM","active":true,"usgs":false}],"preferred":false,"id":833736,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lavin, A.","contributorId":275160,"corporation":false,"usgs":false,"family":"Lavin","given":"A.","email":"","affiliations":[{"id":56733,"text":"Institute for Simulation Intelligence","active":true,"usgs":false}],"preferred":false,"id":833737,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lutjens, B.","contributorId":275161,"corporation":false,"usgs":false,"family":"Lutjens","given":"B.","email":"","affiliations":[{"id":56734,"text":"MIT, IBM","active":true,"usgs":false}],"preferred":false,"id":833738,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Newman, D.","contributorId":275162,"corporation":false,"usgs":false,"family":"Newman","given":"D.","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":833739,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wainright, H.","contributorId":275163,"corporation":false,"usgs":false,"family":"Wainright","given":"H.","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":833740,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Walker, C.","contributorId":181836,"corporation":false,"usgs":false,"family":"Walker","given":"C.","affiliations":[],"preferred":false,"id":833741,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833742,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70240372,"text":"70240372 - 2021 - A review of sea lamprey dispersal and population structure in the Great Lakes and the implications for control","interactions":[],"lastModifiedDate":"2023-02-07T13:24:47.420744","indexId":"70240372","displayToPublicDate":"2021-12-13T07:21:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A review of sea lamprey dispersal and population structure in the Great Lakes and the implications for control","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">Understanding the population structure of invasive sea lamprey (<i>Petromyzon marinus</i><span>) in the Great Lakes basin is essential for an effective control program. We review knowledge of lake connectivity, dispersal during the parasitic stage, and results from phenotypic, demographic, and genetic studies to evaluate how sea lamprey populations are structured. There is no evidence for contemporary movement between Lake Ontario and the Atlantic population, although it appears possible. Dispersal between Lake Ontario and the Finger Lakes is more likely, as is contemporary movement between Lakes Ontario and Erie via the Welland Canal, although neither has been directly observed. Downstream movement from&nbsp;Lake Erie&nbsp;to Lake Ontario via the Niagara River has been reported. Bidirectional movement between Lakes Erie and Huron has been observed, and movement of sea lamprey among the upper Great Lakes (especially between&nbsp;Lakes Huron&nbsp;and Michigan) is relatively common, although complete mixing likely does not occur. The maximum straight-line dispersal distance reported for a tagged sea lamprey was 628&nbsp;km between the St. Marys River and western Lake Erie.&nbsp;Genetic population&nbsp;studies using a variety of molecular markers generally found weak but significant broad-scale population structure (e.g., between freshwater and anadromous populations, and among Lake Ontario, Lake Erie, and the upper Great Lakes), but finer-scale structure was rarely detected. Nevertheless, some within-basin structure is suggested by regional differences in phenotypic and demographic traits (e.g., sex ratio, body size). Further study will be important because management is most efficiently targeted when the geography of demographically independent populations is well-characterized.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.09.015","usgsCitation":"Docker, M.F., Bravener, G., Garroway, C., Hrodey, P.J., Hume, J.B., Johnson, N., Lewandoski, S.A., Ogden, J.L., and Zollweg-Horan, E.C., 2021, A review of sea lamprey dispersal and population structure in the Great Lakes and the implications for control: Journal of Great Lakes Research, v. 47, no. S1, p. S549-S569, https://doi.org/10.1016/j.jglr.2021.09.015.","productDescription":"21 p.","startPage":"S549","endPage":"S569","ipdsId":"IP-132836","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":450027,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.09.015","text":"Publisher Index Page"},{"id":412809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.95267129322733,\n              42.97494095274709\n            ],\n            [\n              -74.88445295349614,\n              42.97494095274709\n            ],\n            [\n              -74.88445295349614,\n              44.751621962677746\n            ],\n            [\n              -80.95267129322733,\n              44.751621962677746\n            ],\n            [\n              -80.95267129322733,\n              42.97494095274709\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"47","issue":"S1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Docker, Margaret F.","contributorId":195099,"corporation":false,"usgs":false,"family":"Docker","given":"Margaret","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":863612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":863613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garroway, Colin J","contributorId":302145,"corporation":false,"usgs":false,"family":"Garroway","given":"Colin J","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":863614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hrodey, Peter J.","contributorId":205578,"corporation":false,"usgs":false,"family":"Hrodey","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":6599,"text":"U.S. Fish and Wildlife Service, Marquette Biological Station","active":true,"usgs":false}],"preferred":false,"id":863615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hume, John B.","contributorId":150987,"corporation":false,"usgs":false,"family":"Hume","given":"John","email":"","middleInitial":"B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":863616,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":863617,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewandoski, Sean A.","contributorId":221007,"corporation":false,"usgs":false,"family":"Lewandoski","given":"Sean","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":863618,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ogden, Jessie L","contributorId":302148,"corporation":false,"usgs":false,"family":"Ogden","given":"Jessie","email":"","middleInitial":"L","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":863619,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zollweg-Horan, Emily C","contributorId":302149,"corporation":false,"usgs":false,"family":"Zollweg-Horan","given":"Emily","email":"","middleInitial":"C","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":863620,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70252839,"text":"70252839 - 2021 - Advances in the use of lampricides to control sea lampreys in the Laurentian Great Lakes, 2000–2019","interactions":[],"lastModifiedDate":"2024-04-09T12:19:14.241315","indexId":"70252839","displayToPublicDate":"2021-12-13T07:16:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Advances in the use of lampricides to control sea lampreys in the Laurentian Great Lakes, 2000–2019","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">The periodic application of chemical lampricides that selectively kill larval sea lampreys (<i>Petromyzon marinus</i><span>) in their nursery habitats remains a primary component of the Great Lakes Fishery Commission’s (GLFC) Sea Lamprey Control Program in the Laurentian Great Lakes. Lampricides include 3-trifluoromethyl-4-nitrophenol (TFM) and niclosamide, the 2-aminoethanol salt of 2′, 5-dichloro-4′-nitrosalicylanilide, which may be used as an additive to TFM during stream treatments, or alone in a granular, bottom-release formulation to target sea lamprey larvae in deepwater environments where dilution would render TFM ineffective. During the early 1990s, the GLFC identified lampricide reduction targets in response to societal concerns with pesticide use, rising lampricide costs, and promising research into alternative controls. By 1999, the GLFC’s control agents, Fisheries and Oceans Canada (DFO) and the&nbsp;U.S.&nbsp;Fish and Wildlife Service (USFWS), had reduced TFM use by 36%. However, without effective alternative methods to compensate for increasing larval and juvenile production, sea lamprey abundance and lake trout (</span><i>Salvelinus namaycush</i><span>) marking rates rose throughout the Great Lakes. Beginning in the early 2000s, the GLFC and its control agents responded to burgeoning sea lamprey populations by implementing measures to advance the use of lampricides, which included: 1) assessing and controlling sea lamprey larvae that survived treatment; 2) enhancing treatment efficacy; 3) developing new technology to effectively treat larval populations that inhabit deepwater environments; 4) increasing operational capacity to treat more tributaries and lentic areas at shorter intervals; and, 5) conducting large-scale and targeted treatment strategies. When comparing lampricide use between the decades of 1990–1999 and 2010–2019, significant increases occurred in the mean number of treatments and amounts of TFM and niclosamide applied annually. Concurrent with these actions, researchers undertook studies to identify factors that erode lampricide treatment efficiency, elucidate physiological mode of action, and investigate lethal and sub-lethal impacts of lampricide exposure on aquatic organisms. By integrating new operational tactics and strategies with advances in&nbsp;science and technology, the GLFC, DFO, and USFWS, with support from the U.S. Geological Survey and the U.S. Army Corps of Engineers, have achieved unprecedented suppression of sea lampreys and reduction in lake trout marking in the Great Lakes. However, emerging challenges potentially threaten the future use of lampricides.</span></p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.08.009","usgsCitation":"Sullivan, W., Burkett, D.P., Boogaard, M.A., Criger, L.A., Freiberger, C., Hubert, T., Leistner, K., Morrison, B.J., Nowicki, S.M., Robertson, S., Rowlinson, A., Scotland, B., and Sullivan, T.B., 2021, Advances in the use of lampricides to control sea lampreys in the Laurentian Great Lakes, 2000–2019: Journal of Great Lakes Research, v. 47, no. 1, p. S216-S237, https://doi.org/10.1016/j.jglr.2021.08.009.","productDescription":"22 p.","startPage":"S216","endPage":"S237","ipdsId":"IP-121937","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":450028,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.08.009","text":"Publisher Index Page"},{"id":427618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, W Paul","contributorId":335466,"corporation":false,"usgs":false,"family":"Sullivan","given":"W Paul","affiliations":[{"id":65453,"text":"Fisheries and Oceans Canada (Retired)","active":true,"usgs":false}],"preferred":false,"id":898405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burkett, Dale P.","contributorId":257530,"corporation":false,"usgs":false,"family":"Burkett","given":"Dale","email":"","middleInitial":"P.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":898406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Criger, Lori A.","contributorId":191036,"corporation":false,"usgs":false,"family":"Criger","given":"Lori","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":898408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freiberger, Christopher","contributorId":335469,"corporation":false,"usgs":false,"family":"Freiberger","given":"Christopher","email":"","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":898409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hubert, Terrance 0000-0001-9712-1738","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":215420,"corporation":false,"usgs":false,"family":"Hubert","given":"Terrance","affiliations":[{"id":39242,"text":"UMESC (retired)","active":true,"usgs":false}],"preferred":false,"id":898410,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leistner, Keith","contributorId":335471,"corporation":false,"usgs":false,"family":"Leistner","given":"Keith","email":"","affiliations":[{"id":80413,"text":"Leistner Aquatic Services","active":true,"usgs":false}],"preferred":false,"id":898411,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morrison, Bruce J.","contributorId":150824,"corporation":false,"usgs":false,"family":"Morrison","given":"Bruce","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":898412,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nowicki, Shawn M","contributorId":335472,"corporation":false,"usgs":false,"family":"Nowicki","given":"Shawn","email":"","middleInitial":"M","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":898413,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Robertson, Shawn","contributorId":335473,"corporation":false,"usgs":false,"family":"Robertson","given":"Shawn","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":898414,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rowlinson, Alan","contributorId":335474,"corporation":false,"usgs":false,"family":"Rowlinson","given":"Alan","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":898415,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Scotland, Barry","contributorId":335475,"corporation":false,"usgs":false,"family":"Scotland","given":"Barry","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":898416,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sullivan, Timothy B","contributorId":335476,"corporation":false,"usgs":false,"family":"Sullivan","given":"Timothy","email":"","middleInitial":"B","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":898417,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70228081,"text":"70228081 - 2021 - Lake sturgeon (Acipenser fulvescens) annual adult survival estimated from acoustic telemetry","interactions":[],"lastModifiedDate":"2022-02-03T13:24:36.087071","indexId":"70228081","displayToPublicDate":"2021-12-13T07:15:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Lake sturgeon (Acipenser fulvescens) annual adult survival estimated from acoustic telemetry","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\"><span>Survival of adult fishes is critical to the conservation and management of wild populations, particularly for long-lived, slow to reproduce species. Most sturgeon species are of conservation concern, but their long lifespans and large ranges have made estimation of adult survival rates challenging. In this study, acoustic&nbsp;telemetry&nbsp;was used to track 205 lake sturgeon (</span><i>Acipenser fulvescens</i>) tagged in the St. Clair and Detroit rivers of the Laurentian Great Lakes over seven years (2012–2019). The objective of this study was to determine if annual survival was related to sex, size, tagging location (river), or year post-tagging using Cormack-Jolly-Seber (CJS) models. Annual survival was high among all seven years (range of point estimates: 95–99%) and did not differ based on sex, tagging year, size at time of tagging, or tagging location. Lake sturgeon detection probability on acoustic receivers was high each year (range of point estimates: 82–99%) and increased as the number of receivers in the system increased. High survival rates of lake sturgeon were consistent with levels thought required for lake sturgeon to be self-sustaining in the St. Clair – Detroit river system. Our application of acoustic telemetry detections as input to CJS models demonstrated the usefulness of this approach and should be considered for population assessment studies throughout the Great Lakes and beyond.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.08.007","usgsCitation":"Colborne, S.F., Hayden, T., Holbrook, C., Krueger, C.C., and Hondorp, D.W., 2021, Lake sturgeon (Acipenser fulvescens) annual adult survival estimated from acoustic telemetry: Journal of Great Lakes Research, v. 47, no. 6, p. 1814-1823, https://doi.org/10.1016/j.jglr.2021.08.007.","productDescription":"10 p.","startPage":"1814","endPage":"1823","ipdsId":"IP-130702","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":395337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan","otherGeospatial":"St. Clair River, Lake St. Clair, Detroit River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.616943359375,\n              41.94314874732696\n            ],\n            [\n              -81.968994140625,\n              41.94314874732696\n            ],\n            [\n              -81.968994140625,\n              43.15710884095329\n            ],\n            [\n              -83.616943359375,\n              43.15710884095329\n            ],\n            [\n              -83.616943359375,\n              41.94314874732696\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Colborne, Scott F. 0000-0002-0143-8456","orcid":"https://orcid.org/0000-0002-0143-8456","contributorId":274488,"corporation":false,"usgs":false,"family":"Colborne","given":"Scott","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayden, Todd A. 0000-0002-0451-0425","orcid":"https://orcid.org/0000-0002-0451-0425","contributorId":274490,"corporation":false,"usgs":false,"family":"Hayden","given":"Todd A.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":833060,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krueger, Charles C. 0000-0002-6735-5012","orcid":"https://orcid.org/0000-0002-6735-5012","contributorId":274493,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":833043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":833042,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228084,"text":"70228084 - 2021 - Slimy sculpin depth shifts and habitat squeeze following the round goby invasion in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2022-02-03T13:12:55.132078","indexId":"70228084","displayToPublicDate":"2021-12-13T07:08:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Slimy sculpin depth shifts and habitat squeeze following the round goby invasion in the Laurentian Great Lakes","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">The collapse of<span>&nbsp;</span><i>Diporeia</i><span>&nbsp;</span>spp. and invasions of dreissenid mussels (zebra,<span>&nbsp;</span><i>Dreissena polymorpha</i>; quagga,<span>&nbsp;</span><i>D. bugensis</i>) and round goby (<i>Neogobius melanostomus</i>) have been associated with declines in abundance of native benthic fishes in the Great Lakes, including historically abundant slimy sculpin (<i>Cottus cognatus</i>). We hypothesized that as round goby colonized deeper habitat, slimy sculpin avoided habitat competition, predation, and aggression from round goby by shifting to deeper habitat. Accordingly, we predicted increased depth overlap of slimy sculpin with both round goby and deepwater sculpin (<i>Myoxocephalus thompsonii</i><span>) that resulted in habitat squeeze by both species. We used long-term&nbsp;bottom trawl&nbsp;data from Lakes Michigan, Huron, and Ontario to evaluate shifts in slimy sculpin depth and their depth overlap with round goby and deepwater sculpin.&nbsp;Lake Huron&nbsp;most supported our hypotheses as slimy sculpin shifted to deeper habitat coincident with the round goby invasion, and depth overlap between slimy sculpin and both species recently increased. Slimy sculpin depth trends in Lakes Michigan and Ontario suggest other ecological and environmental factors better predicted sculpin depth in these lakes.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.08.017","usgsCitation":"Volkel, S.L., Robinson, K., Bunnell, D., Connerton, M., Holden, J.P., Hondorp, D.W., and Weidel, B., 2021, Slimy sculpin depth shifts and habitat squeeze following the round goby invasion in the Laurentian Great Lakes: Journal of Great Lakes Research, v. 47, no. 6, p. 1793-1803, https://doi.org/10.1016/j.jglr.2021.08.017.","productDescription":"11 p.","startPage":"1793","endPage":"1803","ipdsId":"IP-125564","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":395336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Huron, Lake Michigan, Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.11035156249999,\n              41.343824581185686\n            ],\n            [\n              -84.638671875,\n              41.343824581185686\n            ],\n            [\n              -84.638671875,\n              46.31658418182218\n            ],\n            [\n              -88.11035156249999,\n              46.31658418182218\n            ],\n            [\n              -88.11035156249999,\n              41.343824581185686\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.462890625,\n              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0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":217344,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":833046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connerton, Michael J.","contributorId":25495,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael J.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":833047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holden, Jeremy P.","contributorId":190415,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":833048,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":833049,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":833050,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70250492,"text":"70250492 - 2021 - Guiding the Arctic Rivers Project Climate Model Development: Results from the Climate Information Survey","interactions":[],"lastModifiedDate":"2023-12-13T12:55:02.913582","indexId":"70250492","displayToPublicDate":"2021-12-13T06:52:44","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Guiding the Arctic Rivers Project Climate Model Development: Results from the Climate Information Survey","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"University of Colorado, Boulder","collaboration":"University of Colorado, Boulder; Institute for Tribal Environmental Professionals; National Center for Atmospheric Research","usgsCitation":"Herman-Mercer, N.M., 2021, Guiding the Arctic Rivers Project Climate Model Development: Results from the Climate Information Survey, 27 p.","productDescription":"27 p.","ipdsId":"IP-134119","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":423511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":423505,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.colorado.edu/research/arctic-rivers/sites/default/files/attached-files/arp_modelsurveyresults_report_final.pdf"}],"country":"Canada, United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -134.5522950063096,\n              59.87028426766375\n            ],\n            [\n              -133.24373664299094,\n              61.28424546566808\n            ],\n            [\n              -134.02887166098213,\n              63.05529254448754\n            ],\n            [\n              -136.77684422395126,\n              65.05797812818923\n            ],\n            [\n              -140.17909596857976,\n              66.66285098504187\n            ],\n            [\n              -140.57166347757536,\n              69.21575646485616\n            ],\n            [\n              -142.5345010225534,\n              70.03568521513193\n            ],\n            [\n              -154.573237965085,\n              71.4172689598237\n            ],\n            [\n              -160.59260643635076,\n              70.8674732710819\n            ],\n            [\n              -166.35026323495282,\n              68.7464270445748\n            ],\n            [\n              -166.08855156228913,\n              67.72775212396189\n            ],\n            [\n              -164.91084903530233,\n              67.1758201951771\n            ],\n            [\n              -166.8736865802803,\n              66.34986352746296\n            ],\n            [\n              -167.65882159827146,\n              65.44146322228974\n            ],\n            [\n              -165.56512821696163,\n              63.7581904273662\n            ],\n            [\n              -165.95769572595722,\n              62.15218786087863\n            ],\n            [\n              -166.6119749076166,\n              61.221310865102566\n            ],\n            [\n              -164.91084903530233,\n              59.87028426766375\n            ],\n            [\n              -161.6394531270057,\n              58.18719425432104\n            ],\n            [\n              -158.6297688913728,\n              57.63105594029915\n            ],\n            [\n              -155.88179632840357,\n              57.91020117337476\n            ],\n            [\n              -151.43269789312018,\n              58.39353282771856\n            ],\n            [\n              -146.7218877851731,\n              59.87028426766375\n            ],\n            [\n              -143.84305938587198,\n              60.00139362894262\n            ],\n            [\n              -140.83337515023914,\n              59.73865592328997\n            ],\n            [\n              -138.4779700962655,\n              59.60650723894122\n            ],\n            [\n              -137.16941173294686,\n              59.27385018786782\n            ],\n            [\n              -134.5522950063096,\n              59.87028426766375\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Herman-Mercer, Nicole M. 0000-0001-5933-4978 nhmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-5933-4978","contributorId":3927,"corporation":false,"usgs":true,"family":"Herman-Mercer","given":"Nicole","email":"nhmercer@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":890140,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70226844,"text":"70226844 - 2021 - Life-history attributes of Arctic-breeding birds drive uneven responses to environmental variability across different phases of the reproductive cycle","interactions":[],"lastModifiedDate":"2022-01-06T17:45:08.622262","indexId":"70226844","displayToPublicDate":"2021-12-13T06:45:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Life-history attributes of Arctic-breeding birds drive uneven responses to environmental variability across different phases of the reproductive cycle","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Animals exhibit varied life-history traits that reflect adaptive responses to their environments. For Arctic-breeding birds, traits related to diet, egg nutrient allocation, clutch size, and chick growth are predicted to be under increasing selection pressure due to rapid climate change and increasing environmental variability across high-latitude regions. We compared four migratory birds (black brant [<i>Branta bernicla nigricans</i>], lesser snow geese [<i>Chen caerulescens caerulescens</i>], semipalmated sandpipers [<i>Calidris pusilla</i>], and Lapland longspurs [<i>Calcarius lapponicus</i>]) with varied life histories at an Arctic site in Alaska, USA, to understand how life-history traits help moderate environmental variability across different phases of the reproductive cycle. We monitored aspects of reproductive performance related to the timing of breeding, reproductive investment, and chick growth from 2011 to 2018. In response to early snowmelt and warm temperatures, semipalmated sandpipers advanced their site arrival and bred in higher numbers, while brant and snow geese increased clutch sizes; all four species advanced their nest initiation dates. During chick rearing, longspur nestlings were relatively resilient to environmental variation, whereas warmer temperatures increased the growth rates of sandpiper chicks but reduced growth rates of snow goose goslings. These responses generally aligned with traits along the capital-income spectrum of nutrient acquisition and altricial–precocial modes of chick growth. Under a warming climate, the ability to mobilize endogenous reserves likely provides geese with relative flexibility to adjust the timing of breeding and the size of clutches. Higher temperatures, however, may negatively affect the quality of herbaceous foods and slow gosling growth. Species may possess traits that are beneficial during one phase of the reproductive cycle and others that may be detrimental at another phase, uneven responses that may be amplified with future climate warming. These results underscore the need to consider multiple phases of the reproductive cycle when assessing the effects of environmental variability on Arctic-breeding birds.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8448","usgsCitation":"Ruthrauff, D.R., Patil, V.P., Hupp, J.W., and Ward, D.H., 2021, Life-history attributes of Arctic-breeding birds drive uneven responses to environmental variability across different phases of the reproductive cycle: Ecology and Evolution, v. 11, no. 24, p. 18514-18530, https://doi.org/10.1002/ece3.8448.","productDescription":"17 p.","startPage":"18514","endPage":"18530","ipdsId":"IP-129731","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":450031,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8448","text":"Publisher Index Page"},{"id":436095,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZH3JNQ","text":"USGS data release","linkHelpText":"Juvenile Shorebird Morphological Data Collected in Alaska and Canada"},{"id":436094,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UE2Q73","text":"USGS data release","linkHelpText":"Environmental Data from the Colville River Delta, Alaska"},{"id":436093,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AMSIEJ","text":"USGS data release","linkHelpText":"Arthropod Abundance Data from the Colville River Delta, Alaska"},{"id":436092,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CDID03","text":"USGS data release","linkHelpText":"Avian Demographic Data from the Colville River Delta, Alaska"},{"id":436091,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BJBRTO","text":"USGS data release","linkHelpText":"Information from Bird Nests Monitored on the Colville River Delta, Alaska, 2011-2018"},{"id":392942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Colville River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -150.85739135742188,\n              70.37047384596998\n            ],\n            [\n              -150.64727783203125,\n              70.37047384596998\n            ],\n            [\n              -150.64727783203125,\n              70.46\n            ],\n            [\n              -150.85739135742188,\n              70.46\n            ],\n            [\n              -150.85739135742188,\n              70.37047384596998\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"24","noUsgsAuthors":false,"publicationDate":"2021-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":828458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":828459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":828460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":828461,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240387,"text":"70240387 - 2021 - Exploiting the physiology of lampreys to refine methods of control and conservation","interactions":[],"lastModifiedDate":"2023-02-07T12:43:45.364123","indexId":"70240387","displayToPublicDate":"2021-12-13T06:42:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Exploiting the physiology of lampreys to refine methods of control and conservation","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">Lampreys (order: Petromyzontiformes) represent one of two extant groups of jawless fishes, also called cyclostomes. Lampreys have a variety of unique features that distinguish them from other fishes. Here we review the physiological features of lampreys that have contributed to their evolutionary and ecological success. The term physiology is used broadly to also include traits involving multiple levels of biological organization, like swimming performance, that have a strong but not exclusively physiological basis. We also provide examples of how sea lamprey traits are currently being used or investigated to control invasive populations in the Great Lakes, such as reduced capacity to detoxify lampricides, inability to surmount low barriers or dams, and sensitivity to several lamprey-specific chemosensory pheromones and alarm cues. Specific suggestions are also provided for how an improved knowledge of lamprey physiological traits could be exploited for more effective conservation of native lampreys and lead to the development of next generation sea lamprey control and conservation tools.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.10.015","usgsCitation":"Borowiec, B.B., Docker, M.F., Johnson, N.S., Moser, M.L., Zielinski, B., and Wilkie, M.P., 2021, Exploiting the physiology of lampreys to refine methods of control and conservation: Journal of Great Lakes Research, v. 47, no. S1, p. S723-S741, https://doi.org/10.1016/j.jglr.2021.10.015.","productDescription":"19 p.","startPage":"S723","endPage":"S741","ipdsId":"IP-133231","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":450034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.10.015","text":"Publisher Index Page"},{"id":412802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"S1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Borowiec, Brittney B","contributorId":302154,"corporation":false,"usgs":false,"family":"Borowiec","given":"Brittney","email":"","middleInitial":"B","affiliations":[{"id":41188,"text":"Wilfrid Laurier University","active":true,"usgs":false}],"preferred":false,"id":863637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Docker, Margaret F.","contributorId":195099,"corporation":false,"usgs":false,"family":"Docker","given":"Margaret","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":863638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":863639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moser, Mary L.","contributorId":195100,"corporation":false,"usgs":false,"family":"Moser","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":863640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zielinski, Barbara","contributorId":302156,"corporation":false,"usgs":false,"family":"Zielinski","given":"Barbara","email":"","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":863641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilkie, Michael P.","contributorId":191045,"corporation":false,"usgs":false,"family":"Wilkie","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":863642,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252833,"text":"70252833 - 2021 - Lampricide bioavailability and toxicity to invasive sea lamprey and non-target fishes: The importance of alkalinity, pH, and the gill microenvironment","interactions":[],"lastModifiedDate":"2024-04-09T11:41:36.038101","indexId":"70252833","displayToPublicDate":"2021-12-13T06:40:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Lampricide bioavailability and toxicity to invasive sea lamprey and non-target fishes: The importance of alkalinity, pH, and the gill microenvironment","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">The lampricides TFM and niclosamide are added to streams to control invasive larval sea lamprey (<i>Petromyzon marinus</i><span>) populations in the Laurentian Great Lakes. Lampricide effectiveness depends upon TFM and niclosamide&nbsp;bioavailability&nbsp;which is influenced by both abiotic and&nbsp;biotic factors. For example, at lower pH, TFM bioavailability is higher because a greater proportion exists as un-ionized TFM (TFM-OH), which easily crosses the gills. At higher pH, however, the negatively charged ionized species of TFM (TFM-O</span><sup>−</sup>) predominates, which is less easily taken-up, meaning more TFM must be applied. Although water alkalinity does not directly affect TFM speciation, as a buffer it influences how much expired water crossing the gills is acidified by CO<sub>2</sub><span>&nbsp;</span>and metabolic acid excretion. In poorly buffered waters, greater acidification of the expired water increases TFM bioavailability in the gill microenvironment than in better buffered, higher alkalinity waters where more TFM must be applied. Hence, sea lamprey and non-target fishes such as lake sturgeon (<i>Acipenser fulvescens</i>) are more sensitive to lampricides in low pH, low alkalinity waters. Differences in gill structure and microenvironment acidification might also explain why TFM sensitivity of young-of-the-year lake sturgeon approaches or exceeds that of sea lamprey in higher alkalinity waters. Other biotic factors such as body size and metabolic rate also contribute to differences in lampricide sensitivity. We conclude that better understanding of the abiotic and biotic factors influencing lampricide bioavailability can be used to refine treatment protocols to improve lampricide effectiveness and to better protect non-target fishes from lampricide toxicity.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.09.005","usgsCitation":"Wilkie, M., Tessier, L., Boogaard, M.A., O’Connor, L.M., Birceanu, O., Steeves, T.B., and Sullivan, P., 2021, Lampricide bioavailability and toxicity to invasive sea lamprey and non-target fishes: The importance of alkalinity, pH, and the gill microenvironment: Journal of Great Lakes Research, v. 47, no. 1, p. S407-S420, https://doi.org/10.1016/j.jglr.2021.09.005.","productDescription":"14 p.","startPage":"S407","endPage":"S420","ipdsId":"IP-121461","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":450036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.09.005","text":"Publisher Index Page"},{"id":427611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkie, Michael","contributorId":215419,"corporation":false,"usgs":false,"family":"Wilkie","given":"Michael","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":898387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tessier, Laura","contributorId":335463,"corporation":false,"usgs":false,"family":"Tessier","given":"Laura","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":898388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connor, Lisa M.","contributorId":173132,"corporation":false,"usgs":false,"family":"O’Connor","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":898390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birceanu, Oana","contributorId":215421,"corporation":false,"usgs":false,"family":"Birceanu","given":"Oana","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":898391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steeves, Todd B.","contributorId":126761,"corporation":false,"usgs":false,"family":"Steeves","given":"Todd","email":"","middleInitial":"B.","affiliations":[{"id":6598,"text":"Department of Fisheries and Oceans, Canada, Sea Lamprey Control Centre","active":true,"usgs":false}],"preferred":false,"id":898392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sullivan, Paul","contributorId":141103,"corporation":false,"usgs":false,"family":"Sullivan","given":"Paul","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":898393,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70240629,"text":"70240629 - 2021 - The path toward consistent achievement of sea lamprey abundance and lake trout marking targets in Lake Ontario, 2000–2019","interactions":[],"lastModifiedDate":"2023-02-10T12:40:55.308463","indexId":"70240629","displayToPublicDate":"2021-12-13T06:38:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"The path toward consistent achievement of sea lamprey abundance and lake trout marking targets in Lake Ontario, 2000–2019","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab005\" class=\"abstract author\" lang=\"en\"><div id=\"as005\"><p id=\"sp0005\">Lake Ontario boasts a diverse fish community comprised of native and introduced species that support vibrant recreational, commercial and Indigenous fisheries. The effective delivery of a program to assess and control the sea lamprey (<i>Petromyzon marinus</i>) is crucial to achievement of Lake Ontario Fish Community Objectives of rehabilitating native fish stocks while protecting and maintaining the abundance of introduced salmonines. During 2000–2019, the Great Lakes Fishery Commission (GLFC) and its control agents, Fisheries and Oceans Canada (DFO) and the U. S. Fish and Wildlife Service (USFWS), delivered a consistent program of sea lamprey assessment and control. Beginning in 2004, rising sea lamprey abundance and marking rates on lake trout (<i>Salvelinus namaycush</i><span>) in Lake Ontario coincided with a decline of large lake trout in&nbsp;gillnet&nbsp;surveys. Efforts were undertaken to identify and control important sources of juvenile sea lampreys, including larvae that survived treatment, inhabited deepwater areas, or colonised previously uninhabited stream reaches and tributaries. A renewed reliance on proven conventional controls, including lampricide treatments and barriers, has resulted in consistent suppression of sea lamprey abundance and lake trout marking to prescribed targets in Lake Ontario during 2014–2019. This achievement is unprecedented in the 49-year history of Sea Lamprey Control Program delivery in Lake Ontario, and is attributable to the collaborative efforts of the GLFC, the control agents, and federal, provincial, state, and Indigenous partners.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.06.002","usgsCitation":"Sullivan, W.P., Lantry, B.F., Barber, J.M., Bishop, D.L., Bravener, G.A., Connerton, M.J., Hammers, B., Holden, J.P., Keffer, D.A., Lantry, J.R., LaPan, S.R., Morrison, B.J., Tallon, K., Todd, A.A., Van Kempen, T.N., and Zollweg-Horan, E.C., 2021, The path toward consistent achievement of sea lamprey abundance and lake trout marking targets in Lake Ontario, 2000–2019: Journal of Great Lakes Research, v. 47, no. Supplement 1, p. S523-S548, https://doi.org/10.1016/j.jglr.2021.06.002.","productDescription":"26 p.","startPage":"S523","endPage":"S548","ipdsId":"IP-121608","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":450038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.06.002","text":"Publisher Index Page"},{"id":412934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.59665775029957,\n              44.61217824875047\n            ],\n            [\n              -80.38466344117938,\n              44.61217824875047\n            ],\n            [\n              -80.38466344117938,\n              43.027624166656324\n            ],\n            [\n              -75.59665775029957,\n              43.027624166656324\n            ],\n            [\n              -75.59665775029957,\n              44.61217824875047\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"47","issue":"Supplement 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, W. P.","contributorId":302314,"corporation":false,"usgs":false,"family":"Sullivan","given":"W.","email":"","middleInitial":"P.","affiliations":[{"id":65453,"text":"Fisheries and Oceans Canada (Retired)","active":true,"usgs":false}],"preferred":false,"id":864008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":864016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, J. M.","contributorId":302315,"corporation":false,"usgs":false,"family":"Barber","given":"J.","email":"","middleInitial":"M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":864009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bishop, D. L.","contributorId":302316,"corporation":false,"usgs":false,"family":"Bishop","given":"D.","email":"","middleInitial":"L.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":864010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bravener, G. A.","contributorId":302317,"corporation":false,"usgs":false,"family":"Bravener","given":"G.","email":"","middleInitial":"A.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":864011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Connerton, M. J.","contributorId":302318,"corporation":false,"usgs":false,"family":"Connerton","given":"M.","email":"","middleInitial":"J.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":864012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hammers, B. E.","contributorId":302319,"corporation":false,"usgs":false,"family":"Hammers","given":"B. E.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":864013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holden, J. P.","contributorId":191005,"corporation":false,"usgs":false,"family":"Holden","given":"J.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":864014,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Keffer, D. A.","contributorId":302320,"corporation":false,"usgs":false,"family":"Keffer","given":"D.","email":"","middleInitial":"A.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":864015,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lantry, J. R.","contributorId":141111,"corporation":false,"usgs":false,"family":"Lantry","given":"J.","email":"","middleInitial":"R.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":864017,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"LaPan, S. R.","contributorId":87711,"corporation":false,"usgs":false,"family":"LaPan","given":"S.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":864018,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morrison, B. J.","contributorId":302321,"corporation":false,"usgs":false,"family":"Morrison","given":"B.","email":"","middleInitial":"J.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":864019,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tallon, K. J.","contributorId":302322,"corporation":false,"usgs":false,"family":"Tallon","given":"K. J.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":864020,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Todd, A. A.","contributorId":302324,"corporation":false,"usgs":false,"family":"Todd","given":"A.","email":"","middleInitial":"A.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":864021,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Van Kempen, T. N.","contributorId":302326,"corporation":false,"usgs":false,"family":"Van Kempen","given":"T.","email":"","middleInitial":"N.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":864022,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Zollweg-Horan, E. C.","contributorId":302328,"corporation":false,"usgs":false,"family":"Zollweg-Horan","given":"E.","email":"","middleInitial":"C.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":864023,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70227043,"text":"70227043 - 2021 - Birds not in flight: Using camera traps to observe ground use of birds at a wind-energy facility","interactions":[],"lastModifiedDate":"2022-06-01T15:10:11.45261","indexId":"70227043","displayToPublicDate":"2021-12-12T09:16:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"Birds not in flight: Using camera traps to observe ground use of birds at a wind-energy facility","docAbstract":"<p><strong>Context:<span>&nbsp;</span></strong>Camera trapping is increasingly used to collect information on wildlife occurrence and behaviour remotely. Not only does the technique provide insights into habitat use by species of interest, it also gathers information on non-target species.</p><p><strong>Aims:<span>&nbsp;</span></strong>We implemented ground-based camera trapping to investigate the behaviours of ground-dwelling birds, a technique that has largely been unutilised for studying birds, especially in wind-energy facilities.</p><p><strong>Methods:<span>&nbsp;</span></strong>We used camera traps to monitor activities of Agassiz’s desert tortoises (<i>Gopherus agassizii</i>) at their self-constructed burrows in a wind-energy facility near Palm Springs, California, USA. While doing so, we collected data on numerous burrow commensals, including birds.</p><p><strong>Key results:<span>&nbsp;</span></strong>Monitoring from late spring to mid-autumn in one year showed regular use of tortoise burrows and the immediate area by 12 species of birds, especially passerines. The most abundant species, as indicated by the number of photographs, but not necessarily individuals, was the rock wren (<i>Salpinctes obsoletus</i>), with a total of 1499 events. Birds appeared to use the interior or proximate vicinity of burrows for gathering nesting material, displaying, feeding, dust bathing and other activities. Of the bird species observed, 10 are known to be occasional casualties of turbine-blade strikes. The minimum known-age of a burrow had a positive relationship with bird counts.</p><p><strong>Conclusions:<span>&nbsp;</span></strong>Using camera traps focused at ground level can be a useful tool in avian conservation efforts because it is an effective technique for measuring bird presence, activity and behaviour in altered habitats such as wind farms, especially for those species that are low flyers or ground dwellers.</p><p><strong>Implications:<span>&nbsp;</span></strong>Acquiring data over the long term by using ground-based monitoring with camera traps could add to our understanding of avian behaviour and habitat use in relation to wind-energy infrastructure and operations, and help determine the vulnerability of avifauna that utilise the area.</p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WR21071","usgsCitation":"Puffer, S., Tennant, L.A., Lovich, J.E., Agha, M., Smith, A.L., Delaney, D., Arundel, T.R., Fleckenstein, L.J., Briggs, J., Walde, A., and Ennen, J., 2021, Birds not in flight: Using camera traps to observe ground use of birds at a wind-energy facility: Wildlife Research, v. 49, p. 283-294, https://doi.org/10.1071/WR21071.","productDescription":"12 p.","startPage":"283","endPage":"294","ipdsId":"IP-116087","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":393506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Palm Springs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.68167114257812,\n              33.668354044590075\n            ],\n            [\n              -116.34246826171874,\n              33.668354044590075\n            ],\n            [\n              -116.34246826171874,\n              34.02648590051866\n            ],\n            [\n              -116.68167114257812,\n              34.02648590051866\n            ],\n            [\n              -116.68167114257812,\n              33.668354044590075\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2021-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Puffer, Shellie R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":193099,"corporation":false,"usgs":true,"family":"Puffer","given":"Shellie R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":829326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tennant, Laura A. 0000-0003-0062-7287 ltennant@usgs.gov","orcid":"https://orcid.org/0000-0003-0062-7287","contributorId":5984,"corporation":false,"usgs":true,"family":"Tennant","given":"Laura","email":"ltennant@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":829327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":829328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false},{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":829410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Amanda L. amandasmith@usgs.gov","contributorId":193098,"corporation":false,"usgs":true,"family":"Smith","given":"Amanda","email":"amandasmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":829411,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delaney, David","contributorId":75444,"corporation":false,"usgs":true,"family":"Delaney","given":"David","affiliations":[],"preferred":false,"id":829412,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arundel, Terence R. 0000-0003-0324-4249 tarundel@usgs.gov","orcid":"https://orcid.org/0000-0003-0324-4249","contributorId":139242,"corporation":false,"usgs":true,"family":"Arundel","given":"Terence","email":"tarundel@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":829413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleckenstein, Leo J.","contributorId":196259,"corporation":false,"usgs":false,"family":"Fleckenstein","given":"Leo","email":"","middleInitial":"J.","affiliations":[{"id":13019,"text":"Department of Forestry, University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":829414,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Briggs, Jessica","contributorId":22691,"corporation":false,"usgs":true,"family":"Briggs","given":"Jessica","affiliations":[],"preferred":false,"id":829415,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Walde, Andrew","contributorId":212741,"corporation":false,"usgs":false,"family":"Walde","given":"Andrew","affiliations":[],"preferred":false,"id":829416,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ennen, Joshua","contributorId":72691,"corporation":false,"usgs":true,"family":"Ennen","given":"Joshua","affiliations":[],"preferred":false,"id":829417,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70227044,"text":"70227044 - 2021 - Asynchronous flowering patterns in saguaro cacti (Carnegiea gigantea)","interactions":[],"lastModifiedDate":"2021-12-28T15:15:27.886637","indexId":"70227044","displayToPublicDate":"2021-12-12T09:13:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Asynchronous flowering patterns in saguaro cacti (Carnegiea gigantea)","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The saguaro cactus (<i>Carnegiea gigantea</i><span>&nbsp;</span>[Engelm.] Britton &amp; Rose) is a keystone species endemic to the Sonoran Desert of northern Mexico and the southwestern United States. The saguaro produces large white flowers near its stem apex (crown) during April–June, which bloom at night and close the following day. In 1924, Duncan Johnson reported that saguaro floral buds are likely to have an asymmetrical distribution in which buds occur in higher densities on the eastern half of a plant's crown. Using technology not available to Johnson, we tested his observations to determine whether flowers are asymmetrically distributed using repeat photography. We also tested whether there is a seasonal pattern of flowering that may explain Johnson’s observations. We tracked intra-individual flowering phenology of 20 saguaros and measured 2372 flowers across two reproductive seasons in Saguaro National Park, Tucson, Arizona. Flowers first appeared on the east side of all saguaro crowns at the start of the reproductive season, and then spread radially in a counterclockwise direction as the season progressed. In contrast to previous reports, saguaro flowers were consistently more abundant on the northern part of the crown than in the eastern part. To our knowledge, this study is the first to document a seasonal, counterclockwise pattern of asynchronous flowering in saguaro or any angiosperm. We discuss potential drivers of this phenomenon as well as implications for saguaros responding to climate change.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3873","usgsCitation":"Foley, T., Swann, D.E., Sotelo, G., Perkins, N., and Winkler, D.E., 2021, Asynchronous flowering patterns in saguaro cacti (Carnegiea gigantea): Ecosphere, v. 12, no. 12, e03873, 14 p., https://doi.org/10.1002/ecs2.3873.","productDescription":"e03873, 14 p.","ipdsId":"IP-131559","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":450041,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3873","text":"Publisher Index Page"},{"id":393503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Saguaro National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.26129150390625,\n              32.150036509965304\n            ],\n            [\n              -110.97496032714844,\n              32.150036509965304\n            ],\n            [\n              -110.97496032714844,\n              32.371262806414045\n            ],\n            [\n              -111.26129150390625,\n              32.371262806414045\n            ],\n            [\n              -111.26129150390625,\n              32.150036509965304\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Foley, Theresa","contributorId":267925,"corporation":false,"usgs":false,"family":"Foley","given":"Theresa","email":"","affiliations":[],"preferred":false,"id":829337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swann, Don E.","contributorId":218874,"corporation":false,"usgs":false,"family":"Swann","given":"Don","email":"","middleInitial":"E.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":829338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sotelo, Guadalupe","contributorId":270434,"corporation":false,"usgs":false,"family":"Sotelo","given":"Guadalupe","email":"","affiliations":[{"id":56167,"text":"Saguaro National Park, 3693 South Old Spanish Trail, Tucson, Arizona 85748","active":true,"usgs":false}],"preferred":false,"id":829339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Nicholas","contributorId":270435,"corporation":false,"usgs":false,"family":"Perkins","given":"Nicholas","email":"","affiliations":[{"id":56167,"text":"Saguaro National Park, 3693 South Old Spanish Trail, Tucson, Arizona 85748","active":true,"usgs":false}],"preferred":false,"id":829340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":829341,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228960,"text":"70228960 - 2021 - Dispersal distance is driven by habitat availability and reproductive success in Northern Great Plains piping plovers","interactions":[],"lastModifiedDate":"2022-02-25T14:32:32.951984","indexId":"70228960","displayToPublicDate":"2021-12-11T08:27:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Dispersal distance is driven by habitat availability and reproductive success in Northern Great Plains piping plovers","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Dispersal is a critical life history strategy that has important conservation implications, particularly for at-risk species with active recovery efforts and migratory species. Both natal and breeding dispersal are driven by numerous selection pressures, including conspecific competition, individual characteristics, reproductive success, and spatiotemporal variation in habitat. Most studies focus on dispersal probabilities, but the distance traveled can affect survival, fitness, and even metapopulation dynamics.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We examined sources of variation in dispersal distances with 275 natal dispersal and 1335 interannual breeding events for piping plovers (<i>Charadrius melodus</i>) breeding in the Northern Great Plains between 2014 and 2019.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Natal dispersal was on average longer (mean: 81.0&nbsp;km, median: 53&nbsp;km) than adult breeding movements (mean: 23.7&nbsp;km, median: 1&nbsp;km). Individuals moved the shortest distances when hatched, previously nested, or settling on river habitats. When more habitat was available on their natal area than in the year prior, hatch-year birds moved shorter distances to their first breeding location. Similarly, adults also moved shorter distances when more habitat was available at the settling site and when in closer proximity to other known nesting areas. Additionally, adult movement distance was shorter when successfully hatching a nest the year prior, retaining a mate, or initiating a current nest earlier.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusion</h3><p>Habitat availability appears to be associated with dispersal distance for both hatch-year and adult piping plovers. Conservation efforts that integrate dispersal distances may benefit from maintaining nesting habitat within close proximity to other areas for adults and a network of clustered sites spread out across a larger landscape for natal dispersal.</p>","language":"English","publisher":"BMC","doi":"10.1186/s40462-021-00293-3","usgsCitation":"Swift, R.J., Anteau, M.J., Ellis, K.S., Ring, M., Sherfy, M.H., and Toy, D.L., 2021, Dispersal distance is driven by habitat availability and reproductive success in Northern Great Plains piping plovers: Movement Ecology, v. 9, 59, 14 p., https://doi.org/10.1186/s40462-021-00293-3.","productDescription":"59, 14 p.","ipdsId":"IP-123182","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":450043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-021-00293-3","text":"Publisher Index Page"},{"id":396477,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.4248046875,\n              43.51668853502906\n            ],\n            [\n              -97.2509765625,\n              43.51668853502906\n            ],\n            [\n              -97.2509765625,\n              48.86471476180277\n            ],\n            [\n              -105.4248046875,\n              48.86471476180277\n            ],\n            [\n              -105.4248046875,\n              43.51668853502906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Kristen S. 0000-0003-2759-3670","orcid":"https://orcid.org/0000-0003-2759-3670","contributorId":251877,"corporation":false,"usgs":true,"family":"Ellis","given":"Kristen","email":"","middleInitial":"S.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ring, Megan M. 0000-0001-8331-8492","orcid":"https://orcid.org/0000-0001-8331-8492","contributorId":225026,"corporation":false,"usgs":true,"family":"Ring","given":"Megan M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Toy, Dustin L. 0000-0001-5390-5784 dtoy@usgs.gov","orcid":"https://orcid.org/0000-0001-5390-5784","contributorId":5150,"corporation":false,"usgs":true,"family":"Toy","given":"Dustin","email":"dtoy@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836036,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70236523,"text":"70236523 - 2021 - Influence of antecedent geology on the Holocene formation and evolution of Horn Island, Mississippi, USA","interactions":[],"lastModifiedDate":"2022-09-09T12:28:43.889046","indexId":"70236523","displayToPublicDate":"2021-12-11T07:25:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of antecedent geology on the Holocene formation and evolution of Horn Island, Mississippi, USA","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0075\">Horn Island, one of the two most stable barriers along the Mississippi-Alabama chain (Cat, East and West Ship, Horn, West Petit Bois, Petit Bois, and Dauphin), provides critical habitat, helps regulate estuarine conditions in the Mississippi Sound, and reduces wave energy and storm surge before they reach the mainland shore. However, important details of the formation and evolution of the island in response to sea-level rise, storms, and antecedent geology remain unclear. This study integrates 2200&nbsp;km of high-resolution geophysical data, 35 sediment cores, and 18 radiocarbon ages to better understand the geologic history of the island. Incised valleys of the Biloxi and Pascagoula Rivers underlie Horn Island and played a profound role in the evolution of the system. Within the incised valleys, sandy paleochannel deposits represent potential sediment sources during island development. Scour associated with wave and tidal ravinement processes liberated sand from the paleochannels and along with numerous other sizable sand sources on the shelf contributed to the formation and continued maintenance of Horn Island. Based on radiocarbon ages, transgressive ephemeral islands/shoals with no preserved shoreface existed at least 8000&nbsp;cal&nbsp;yr BP and were frequently overwashed when sea-level rise rates were&nbsp;~&nbsp;4–5&nbsp;mm/yr. Approximately 5000&nbsp;cal&nbsp;yr BP, coinciding with a deceleration in sea-level rise to about 1.4&nbsp;mm/yr and attendant increased sand supply, radiocarbon ages associated with Horn Island's barrier complex and lower shoreface indicate a period of island stabilization. Seismic and sediment core data show a long history of westward lateral migration by longshore currents through tidal ravinement and inlet fill. Subsurface sand packages associated with tidal inlet fill and paleochannels are available for ravinement and may be important sand sources for Horn Island to maintain subaerial exposure with the expected accelerated future sea-level rise.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2020.106375","usgsCitation":"Gal, N.S., Wallace, D.J., Miner, M., Hollis, R.S., Dike, C.H., and Flocks, J., 2021, Influence of antecedent geology on the Holocene formation and evolution of Horn Island, Mississippi, USA: Marine Geology, v. 431, 106375, 19 p., https://doi.org/10.1016/j.margeo.2020.106375.","productDescription":"106375, 19 p.","ipdsId":"IP-119327","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":406445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Horn Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.6102294921875,\n              30.103553765506575\n            ],\n            [\n              -87.95791625976564,\n              30.103553765506575\n            ],\n            [\n              -87.95791625976564,\n              30.34562073484083\n            ],\n            [\n              -88.6102294921875,\n              30.34562073484083\n            ],\n            [\n              -88.6102294921875,\n              30.103553765506575\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"431","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gal, Nina S","contributorId":243058,"corporation":false,"usgs":false,"family":"Gal","given":"Nina","email":"","middleInitial":"S","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":851303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Davin J","contributorId":243056,"corporation":false,"usgs":false,"family":"Wallace","given":"Davin","email":"","middleInitial":"J","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":851304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miner, Michael","contributorId":79434,"corporation":false,"usgs":true,"family":"Miner","given":"Michael","affiliations":[],"preferred":false,"id":851305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollis, Robert S","contributorId":243055,"corporation":false,"usgs":false,"family":"Hollis","given":"Robert","email":"","middleInitial":"S","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":851306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dike, Clayton H","contributorId":243059,"corporation":false,"usgs":false,"family":"Dike","given":"Clayton","email":"","middleInitial":"H","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":851307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flocks, James 0000-0002-6177-7433","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":221107,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":851308,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227007,"text":"70227007 - 2021 - Experimental tree mortality does not induce marsh transgression in a Chesapeake Bay low-lying coastal forest","interactions":[],"lastModifiedDate":"2021-12-27T14:25:45.009662","indexId":"70227007","displayToPublicDate":"2021-12-10T08:19:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Experimental tree mortality does not induce marsh transgression in a Chesapeake Bay low-lying coastal forest","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb0\">Transgression into adjacent uplands is an important global response of coastal wetlands to accelerated rates of sea level rise. “Ghost forests” mark a signature characteristic of marsh transgression on the landscape, as changes in tidal inundation and salinity cause bordering upland tree mortality, increase light availability, and the emergence of tidal marsh species due to reduced competition. To investigate these mechanisms of the marsh migration process, we conducted a field experiment to simulate a natural disturbance event (e.g., storm-induced flooding) by inducing the death of established trees (coastal loblolly pine,<span>&nbsp;</span><i>Pinus taeda</i>) at the marsh-upland forest ecotone. After this simulated disturbance in 2014, we monitored changes in vegetation along an elevation gradient in control and treatment areas to determine if disturbance can lead to an ecosystem shift from forested upland to wetland vegetation. Light availability initially increased in the disturbed area, leading to an increase in biodiversity of vegetation with early successional grass and shrub species. However, over the course of this 5-year experiment, there was no increase in inundation in the disturbed areas relative to the control and pine trees recolonized becoming the dominant plant cover in the disturbed study areas. Thus, in the 5 years since the disturbance, there has been no overall shift in species composition toward more hydrophytic vegetation that would be indicative of marsh transgression with the removal of trees. These findings suggest that disturbance is necessary but not sufficient alone for transgression to occur. Unless hydrological characteristics suppress tree re-growth within a period of several years following disturbance, the regenerating trees will shade and outcompete any migrating wetland vegetation species. Our results suggest that complex interactions between disturbance, biotic resistance, and slope help determine the potential for marsh transgression.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2021.782643","usgsCitation":"Walters, D., Carr, J., Hockaday, A., Jones, J.A., McFarland, E., Kovalenko, K., Kirwan, M.L., Cahoon, D., and Guntenspergen, G.R., 2021, Experimental tree mortality does not induce marsh transgression in a Chesapeake Bay low-lying coastal forest: Frontiers in Marine Science, v. 8, 782643, 12 p., https://doi.org/10.3389/fmars.2021.782643.","productDescription":"782643, 12 p.","ipdsId":"IP-131666","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":450046,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.782643","text":"Publisher Index Page"},{"id":436096,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V4NJXW","text":"USGS data release","linkHelpText":"Environmental and Vegetation Data from Marsh-Forest Transgression Experiment at Blackwater National Wildlife Refuge, MD, USA"},{"id":393409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay low-lying coastal forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.640869140625,\n              38.933775528197195\n            ],\n            [\n              -75.70678710937499,\n              38.64261790634527\n            ],\n            [\n              -75.79467773437499,\n              38.556757147352215\n            ],\n            [\n              -75.94848632812499,\n              39.08743603215882\n            ],\n            [\n              -75.772705078125,\n              39.69873414348139\n            ],\n            [\n              -76.19018554687499,\n              39.86758762451019\n            ],\n            [\n              -76.82739257812501,\n              39.42770738465604\n            ],\n            [\n              -77.508544921875,\n              38.47079371120381\n            ],\n            [\n              -77.508544921875,\n              37.09900294387622\n            ],\n            [\n              -76.695556640625,\n              36.712467243386264\n            ],\n            [\n              -76.03637695312499,\n              36.500805317604765\n            ],\n            [\n              -75.55297851562499,\n              36.94111143010772\n            ],\n            [\n              -75.06958007812499,\n              38.14319750166763\n            ],\n            [\n              -75.09155273437499,\n              38.72837591823977\n            ],\n            [\n              -75.421142578125,\n              39.07037913108751\n            ],\n            [\n              -75.640869140625,\n              38.933775528197195\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2021-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Walters, David 0000-0002-5836-681X waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-5836-681X","contributorId":270366,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":829154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hockaday, Alyssa","contributorId":270368,"corporation":false,"usgs":false,"family":"Hockaday","given":"Alyssa","email":"","affiliations":[],"preferred":false,"id":829156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Joshua A","contributorId":150553,"corporation":false,"usgs":false,"family":"Jones","given":"Joshua","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":829157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McFarland, Eliza 0000-0002-7459-3318","orcid":"https://orcid.org/0000-0002-7459-3318","contributorId":270370,"corporation":false,"usgs":false,"family":"McFarland","given":"Eliza","email":"","affiliations":[],"preferred":false,"id":829158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kovalenko, Katya 0000-0001-7363-212X","orcid":"https://orcid.org/0000-0001-7363-212X","contributorId":270372,"corporation":false,"usgs":false,"family":"Kovalenko","given":"Katya","email":"","affiliations":[{"id":56155,"text":"Natural Resources Research Institute, University of Minnesota, Duluth","active":true,"usgs":false}],"preferred":false,"id":829159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirwan, Matthew L.","contributorId":191373,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matthew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":829160,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829161,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829162,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227477,"text":"70227477 - 2021 - Juvenile African clawed frogs (Xenopus laevis) express growth, metamorphosis, mortality, gene expression, and metabolic changes when exposed to thiamethoxam and clothianidin","interactions":[],"lastModifiedDate":"2023-06-09T13:57:17.008199","indexId":"70227477","displayToPublicDate":"2021-12-10T06:59:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2059,"text":"International Journal of Molecular Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile African clawed frogs (Xenopus laevis) express growth, metamorphosis, mortality, gene expression, and metabolic changes when exposed to thiamethoxam and clothianidin","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Neonicotinoids (NEO) represent the main class of insecticides currently in use, with thiamethoxam (THX) and clothianidin (CLO) primarily applied agriculturally. With few comprehensive studies having been performed with non-target amphibians, the aim was to investigate potential biomarker responses along an adverse outcome pathway of NEO exposure, whereby data were collected on multiple biological hierarchies. Juvenile African clawed frogs,<span>&nbsp;</span><span class=\"html-italic\">Xenopus laevis</span>, were exposed to commercial formulations of THX and CLO at high (100 ppm) and low (20 ppm) concentrations of the active ingredient. Mortality, growth, development, liver metabolic enzyme activity, and gene expression endpoints were quantified. Tadpoles (<span class=\"html-italic\">n</span><span>&nbsp;</span>&gt; 1000) from NF 47 through tail resorption stage (NF 66) were exposed to NEO or to NEO-free media treatments. Liver cell reductase activity and cytotoxicity were quantified by flow cytometry. Compared to control reference gene expressions, levels of expression for NEO receptor subunits, cell structure, function, and decontamination processes were measured by RT-qPCR by using liver and brain. Mortality in THX high was 21.5% compared to the control (9.1%); the metabolic conversion of THX to CLO may explain these results. The NF 57 control tadpoles were heavier, longer, and more developed than the others. The progression of development from NF 57–66 was reduced by THX low, and weight gain was impaired. Liver reductases were highest in the control (84.1%), with low NEO exhibiting the greatest reductions; the greatest cytotoxicity was seen with THX high. More transcriptional activity was noted in brains than in livers. Results affirm the utility of a study approach that considers multiple complexities in ecotoxicological studies with non-target amphibians, underscoring the need for simultaneously considering NEO concentration-response relationships with both whole-organism and biomarker endpoints.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/ijms222413291","usgsCitation":"Jenkins, J., Hartop, K.R., Bukhari, G., Howton, D.E., Smalling, K., Mize, S., Hladik, M.L., Johnson, D., Dale, R., and Brown, B.L., 2021, Juvenile African clawed frogs (Xenopus laevis) express growth, metamorphosis, mortality, gene expression, and metabolic changes when exposed to thiamethoxam and clothianidin: International Journal of Molecular Sciences, v. 22, no. 24, 13291, 25 p.; Data Release, https://doi.org/10.3390/ijms222413291.","productDescription":"13291, 25 p.; Data Release","ipdsId":"IP-089089","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":450048,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijms222413291","text":"Publisher Index Page"},{"id":436097,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KW3G2G","text":"USGS data release","linkHelpText":"Gene expression and liver cell metabolism from Xenopus laevis tadpoles exposed to neonicotinoids"},{"id":394504,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417875,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97PROVJ"}],"volume":"22","issue":"24","noUsgsAuthors":false,"publicationDate":"2021-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Jill 0000-0002-5087-0894","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":222865,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":831112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartop, Katherine R.","contributorId":271187,"corporation":false,"usgs":false,"family":"Hartop","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":38728,"text":"Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":831113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bukhari, Ghadeer","contributorId":271188,"corporation":false,"usgs":false,"family":"Bukhari","given":"Ghadeer","email":"","affiliations":[{"id":38728,"text":"Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":831114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howton, Debra E.","contributorId":271189,"corporation":false,"usgs":false,"family":"Howton","given":"Debra","email":"","middleInitial":"E.","affiliations":[{"id":38728,"text":"Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":831115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831116,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mize, Scott 0000-0001-6751-5568","orcid":"https://orcid.org/0000-0001-6751-5568","contributorId":218508,"corporation":false,"usgs":true,"family":"Mize","given":"Scott","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831117,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831118,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":831119,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dale, Rassa 0000-0001-8532-3287","orcid":"https://orcid.org/0000-0001-8532-3287","contributorId":222867,"corporation":false,"usgs":true,"family":"Dale","given":"Rassa","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":831120,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brown, Bonnie L.","contributorId":23083,"corporation":false,"usgs":false,"family":"Brown","given":"Bonnie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":831121,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70262185,"text":"70262185 - 2021 - Surveillance for diseases, pathogens, and toxicants of muskrat (Ondatra zibethicus) in Pennsylvania and surrounding regions","interactions":[],"lastModifiedDate":"2025-01-15T17:21:03.482011","indexId":"70262185","displayToPublicDate":"2021-12-09T11:15:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Surveillance for diseases, pathogens, and toxicants of muskrat (<i>Ondatra zibethicus</i>) in Pennsylvania and surrounding regions","title":"Surveillance for diseases, pathogens, and toxicants of muskrat (Ondatra zibethicus) in Pennsylvania and surrounding regions","docAbstract":"<p><span>Using diagnostic data and contemporary sampling efforts, we conducted surveillance for a diversity of pathogens, toxicants, and diseases of muskrats (</span><i>Ondatra zibethicus</i><span>). Between 1977 and 2019, 26 diagnostic cases were examined from Kansas and throughout the Southeast and Mid-Atlantic, USA. We identified multiple causes of mortality in muskrats, but trauma (8/26), Tyzzer’s disease (5/6), and cysticercosis (5/26) were the most common. We also conducted necropsies, during November 2018—January 2019 Pennsylvania muskrat trapping season, on 380 trapper-harvested muskrat carcasses after the pelt was removed. Tissue samples and exudate were tested for presence of or exposure to a suite of pathogens and contaminants. Gastrointestinal tracts were examined for helminths. Intestinal helminths were present in 39.2% of necropsied muskrats, with&nbsp;</span><i>Hymenolepis</i><span>&nbsp;spp. (62%) and echinostome spp. (44%) being the most common Molecular testing identified a low prevalence of infection with&nbsp;</span><i>Clostridium piliforme</i><span>&nbsp;in the feces and&nbsp;</span><i>Sarcocystis</i><span>&nbsp;spp. in the heart. We detected a low seroprevalence to&nbsp;</span><i>Toxoplasma gondii</i><span>&nbsp;(1/380). No muskrats were positive for&nbsp;</span><i>Francisella tularensis</i><span>&nbsp;or&nbsp;</span><i>Babesia</i><span>&nbsp;spp. Cysticercosis was detected in 20% (5/26) of diagnostic cases and 15% (57/380) of our trapper-harvested muskrats. Toxic concentrations of arsenic, cadmium, lead, or mercury were not detected in tested liver samples. Copper, molybdenum, and zinc concentrations were detected at acceptable levels comparative to previous studies. Parasite intensity and abundance were typical of historic reports; however, younger muskrats had higher intensity of infection than older muskrats which is contradictory to what has been previously reported. A diversity of pathogens and contaminants have been reported from muskrats, but the associated disease impacts are poorly understood. Our data are consistent with historic reports and highlight the wide range of parasites, pathogens and contaminants harbored by muskrats in Pennsylvania. The data collected are a critical component in assessing overall muskrat health and serve as a basis for understanding the impacts of disease on recent muskrat population declines.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0260987","usgsCitation":"Ganoe, L., Brown, J., Lovallo, M., Yabsley, M., Garrett, K., Thompson, A., Poppenga, R., Ruder, M., and Walter, W., 2021, Surveillance for diseases, pathogens, and toxicants of muskrat (Ondatra zibethicus) in Pennsylvania and surrounding regions: PLoS ONE, v. 16, no. 12, e0260987, 21 p., https://doi.org/10.1371/journal.pone.0260987.","productDescription":"e0260987, 21 p.","ipdsId":"IP-132458","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467218,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0260987","text":"Publisher Index Page"},{"id":466438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.85632156110431,\n              42.2858130455985\n            ],\n            [\n              -80.85632156110431,\n              39.57662331387951\n            ],\n            [\n              -74.27817658513136,\n              39.57662331387951\n            ],\n            [\n              -74.27817658513136,\n              42.2858130455985\n            ],\n            [\n              -80.85632156110431,\n              42.2858130455985\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Ganoe, Laken S.","contributorId":348374,"corporation":false,"usgs":false,"family":"Ganoe","given":"Laken S.","affiliations":[{"id":83355,"text":"Pennsylvania Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":923410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Justin D.","contributorId":348375,"corporation":false,"usgs":false,"family":"Brown","given":"Justin D.","affiliations":[{"id":83356,"text":"Department of Veterinary and Biomedical Sciences","active":true,"usgs":false}],"preferred":false,"id":923411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovallo, Matthew J.","contributorId":348376,"corporation":false,"usgs":false,"family":"Lovallo","given":"Matthew J.","affiliations":[{"id":83357,"text":"Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":923412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yabsley, Michael J.","contributorId":348377,"corporation":false,"usgs":false,"family":"Yabsley","given":"Michael J.","affiliations":[{"id":39308,"text":"Southeastern Cooperative Wildlife Disease Study","active":true,"usgs":false}],"preferred":false,"id":923413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrett, Kayla B.","contributorId":348378,"corporation":false,"usgs":false,"family":"Garrett","given":"Kayla B.","affiliations":[{"id":81749,"text":"Warnell School of Forestry and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":923414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Alec T.","contributorId":348379,"corporation":false,"usgs":false,"family":"Thompson","given":"Alec T.","affiliations":[{"id":39308,"text":"Southeastern Cooperative Wildlife Disease Study","active":true,"usgs":false}],"preferred":false,"id":923415,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poppenga, Robert H.","contributorId":348380,"corporation":false,"usgs":false,"family":"Poppenga","given":"Robert H.","affiliations":[{"id":36526,"text":"California Animal Health and Food Safety Laboratory","active":true,"usgs":false}],"preferred":false,"id":923416,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruder, Mark G.","contributorId":348381,"corporation":false,"usgs":false,"family":"Ruder","given":"Mark G.","affiliations":[{"id":39308,"text":"Southeastern Cooperative Wildlife Disease Study","active":true,"usgs":false}],"preferred":false,"id":923417,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923409,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70229704,"text":"70229704 - 2021 - Using social values in the prioritization of research: Quantitative examples and generalizations","interactions":[],"lastModifiedDate":"2022-03-16T15:50:46.326266","indexId":"70229704","displayToPublicDate":"2021-12-09T10:39:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Using social values in the prioritization of research: Quantitative examples and generalizations","docAbstract":"<ol class=\"\"><li>Identifying critical uncertainties about ecological systems can help prioritize research efforts intended to inform management decisions. However, exclusively focusing on the ecological system neglects the objectives of natural resource managers and the associated social values tied to risks and rewards of actions.</li><li>I demonstrate how to prioritize research efforts for a harvested population by applying expected value of perfect information (EVPI) to harvest decisions made with a density-independent matrix population model. Research priorities identified by EVPI diverge from priorities identified by matrix elasticity analyses that ignore social utility.</li><li>Using a density-dependent harvest model, the value of information about the intrinsic productivity of a population is shown to be sensitive to the socially determined penalty for implementing a harvest rate that deviates from the goal because of imperfection in estimation.</li><li><i>Synthesis and applications</i>. The effect of including social values into harvest decision-making depends on the assumed population model, uncertainty in population vital rates, and the particular form of the utility function used to represent risk/reward of harvest. EVPI analyses that include perceived utility of different outcomes can be used by managers seeking to optimize monitoring and research spending. Collaboration between applied ecologists and social scientists that quantitatively measure peoples' values is needed in many structured decision-making processes.</li><li><br></li></ol>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8394","usgsCitation":"Falcy, M.R., 2021, Using social values in the prioritization of research: Quantitative examples and generalizations: Ecology and Evolution, v. 11, no. 24, p. 18000-18010, https://doi.org/10.1002/ece3.8394.","productDescription":"11 p.","startPage":"18000","endPage":"18010","ipdsId":"IP-133813","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":450050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8394","text":"Publisher Index Page"},{"id":397163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"24","noUsgsAuthors":false,"publicationDate":"2021-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Falcy, Matthew Richard 0000-0002-3332-2239","orcid":"https://orcid.org/0000-0002-3332-2239","contributorId":288500,"corporation":false,"usgs":true,"family":"Falcy","given":"Matthew","email":"","middleInitial":"Richard","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":838025,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70227081,"text":"70227081 - 2021 - Biocrusts do not differentially influence emergence and early establishment of native and non-native grasses","interactions":[],"lastModifiedDate":"2021-12-29T15:21:04.035165","indexId":"70227081","displayToPublicDate":"2021-12-09T09:12:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Biocrusts do not differentially influence emergence and early establishment of native and non-native grasses","docAbstract":"<p><span>Biological soil crusts (biocrusts) cover the soil surface of global drylands and interact with vascular plants. Biocrusts may influence the availability and nature of safe sites for plant recruitment and the susceptibility of an area to invasion by non-native species. Therefore, to investigate the potential role of biocrusts in invasive species management, we sought to determine whether native and non-native grass recruitments in two North American deserts were differentially affected by biocrusts. We conducted a series of coordinated experiments in field, semi-controlled, and controlled environment settings in the Colorado Plateau and Sonoran Desert using contrasting biocrust and grass functional types. Experiments in field environments focused on early establishment of grass seedlings whereas controlled environment experiments focused on seedling emergence. Within each experiment, we compared responses (frequency, magnitude, and timing of emergence/establishment) both across species (biocrust types pooled) and across species and levels of biocrust development. Native grasses varied by experiment and included&nbsp;</span><i>Aristida purpurea</i><span>,&nbsp;</span><i>A. purpurea</i><span>&nbsp;var.&nbsp;</span><i>longiseta</i><span>,&nbsp;</span><i>Bouteloua gracilis</i><span>, and&nbsp;</span><i>Vulpia octoflora</i><span>. Emergence of non-native&nbsp;</span><i>Bromus tectorum</i><span>&nbsp;was similar to that of native grasses on the Colorado Plateau. Differences in emergence of native vs. non-native grasses in the Sonoran Desert were species- and response-specific. Emergence of the non-native&nbsp;</span><i>Bromus rubens</i><span>&nbsp;was comparable to that of native grasses whereas emergence frequency and magnitude of the non-native&nbsp;</span><i>Pennisetum ciliare</i><span>&nbsp;was lower compared with two of four native species. Within a grass species, emergence was higher and faster on bare soil compared with biocrusts in the Sonoran Desert semi-controlled and greenhouse environment experiments. However, the pattern was not consistent across other experiments. When comparing across Colorado Plateau and Sonoran Desert biocrusts in greenhouse experiments, we found that emergence of native grasses was higher on Colorado Plateau biocrusts. Based on the lack of consistent results across our experiments, grass recruitment on biocrusts appears to be driven more by species-specific traits than species provenance. Our greenhouse experiments suggest that biocrust topographic relief is an important safe site trait influencing plant recruitment.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3841","usgsCitation":"McIntyre, C., Archer, S.R., Predick, K., and Belnap, J., 2021, Biocrusts do not differentially influence emergence and early establishment of native and non-native grasses: Ecosphere, v. 12, no. 12, e03841, 18 p., https://doi.org/10.1002/ecs2.3841.","productDescription":"e03841, 18 p.","ipdsId":"IP-125741","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488350,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3841","text":"Publisher Index Page"},{"id":393588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Colorado Plateau, Sonoran Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.05804443359375,\n              31.884554393746278\n            ],\n            [\n              -110.86715698242186,\n              31.884554393746278\n            ],\n            [\n              -110.86715698242186,\n              32.013898345577914\n            ],\n            [\n              -111.05804443359375,\n              32.013898345577914\n            ],\n            [\n              -111.05804443359375,\n              31.884554393746278\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.62570190429688,\n              38.155077102180655\n            ],\n            [\n              -109.2974853515625,\n              38.155077102180655\n            ],\n            [\n              -109.2974853515625,\n              38.371808917147554\n            ],\n            [\n              -109.62570190429688,\n              38.371808917147554\n            ],\n            [\n              -109.62570190429688,\n              38.155077102180655\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"McIntyre, Cheryl","contributorId":270544,"corporation":false,"usgs":false,"family":"McIntyre","given":"Cheryl","email":"","affiliations":[{"id":56180,"text":"School of Natural Resources and the Environment, The University of Arizona, 1064 East Lowell Street, Tucson, AZ, 85719, USA;National Park Service, Chihuahuan Desert Network, 12661 E Broadway Blvd., Tucson, AZ, 85748, USA","active":true,"usgs":false}],"preferred":false,"id":829545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Archer, Steven R.","contributorId":139043,"corporation":false,"usgs":false,"family":"Archer","given":"Steven","email":"","middleInitial":"R.","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":829546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Predick, Katie","contributorId":270545,"corporation":false,"usgs":false,"family":"Predick","given":"Katie","email":"","affiliations":[{"id":56181,"text":"School of Natural Resources and the Environment, The University of Arizona, 1064 East Lowell Street, Tucson, AZ, 85719, USA","active":true,"usgs":false}],"preferred":false,"id":829548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":829547,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70226873,"text":"70226873 - 2021 - Ten simple rules for creating a scientific web application","interactions":[],"lastModifiedDate":"2021-12-17T14:58:45.469602","indexId":"70226873","displayToPublicDate":"2021-12-09T08:53:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5727,"text":"PLOS Computational Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ten simple rules for creating a scientific web application","docAbstract":"<p><span>The use of scientific web applications (SWApps) across biological and environmental sciences has grown exponentially over the past decade or so. Although quantitative evidence for such increased use in practice is scant, collectively, we have observed that these tools become more commonplace in teaching, outreach, and in science coproduction (e.g., as decision support tools). Despite the increased popularity of SWApps, researchers often receive little or no training in creating such tools. Although rolling out SWApps can be a relatively simple and quick process using modern, popular platforms like R shiny apps or Tableau dashboards, making them useful, usable, and sustainable is not. These 10 simple rules for creating a SWApp provide a foundation upon which researchers with little to no experience in web application design and development can consider, plan, and carry out SWApp projects.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pcbi.1009574","usgsCitation":"Burnett, J.L., Dale, R., Hou, C.Y., Palomo-Munoz, G., Stack-Whitney, K., Aulenbach, S., Bristol, R.S., Valle, D., and Wellman, T., 2021, Ten simple rules for creating a scientific web application: PLOS Computational Biology, v. 17, no. 12, e1009574, 12, https://doi.org/10.1371/journal.pcbi.1009574.","productDescription":"e1009574, 12","ipdsId":"IP-124888","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":450052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pcbi.1009574","text":"Publisher Index Page"},{"id":393048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Burnett, Jessica Leigh 0000-0002-0896-5099","orcid":"https://orcid.org/0000-0002-0896-5099","contributorId":248195,"corporation":false,"usgs":true,"family":"Burnett","given":"Jessica","email":"","middleInitial":"Leigh","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":828562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dale, Renee 0000-0002-1674-1247","orcid":"https://orcid.org/0000-0002-1674-1247","contributorId":270163,"corporation":false,"usgs":false,"family":"Dale","given":"Renee","email":"","affiliations":[{"id":56103,"text":"Donald Danforth Plant Science Center","active":true,"usgs":false}],"preferred":false,"id":828563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hou, Chung Yi 0000-0002-8087-1775","orcid":"https://orcid.org/0000-0002-8087-1775","contributorId":270164,"corporation":false,"usgs":false,"family":"Hou","given":"Chung","email":"","middleInitial":"Yi","affiliations":[{"id":37768,"text":"USGS Contractor","active":true,"usgs":false}],"preferred":false,"id":828564,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palomo-Munoz, Gabriela","contributorId":248196,"corporation":false,"usgs":false,"family":"Palomo-Munoz","given":"Gabriela","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":828605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stack-Whitney, Kaitlin 0000-0002-0815-5037","orcid":"https://orcid.org/0000-0002-0815-5037","contributorId":270165,"corporation":false,"usgs":false,"family":"Stack-Whitney","given":"Kaitlin","email":"","affiliations":[{"id":32390,"text":"Rochester Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":828567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aulenbach, Steven 0000-0002-0172-6538","orcid":"https://orcid.org/0000-0002-0172-6538","contributorId":261331,"corporation":false,"usgs":true,"family":"Aulenbach","given":"Steven","email":"","affiliations":[{"id":207,"text":"Core Research Center","active":true,"usgs":true}],"preferred":true,"id":828565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bristol, R. Sky 0000-0003-1682-4031 sbristol@usgs.gov","orcid":"https://orcid.org/0000-0003-1682-4031","contributorId":3585,"corporation":false,"usgs":true,"family":"Bristol","given":"R.","email":"sbristol@usgs.gov","middleInitial":"Sky","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":828566,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valle, Denis 0000-0002-9830-8876","orcid":"https://orcid.org/0000-0002-9830-8876","contributorId":270166,"corporation":false,"usgs":false,"family":"Valle","given":"Denis","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":828569,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wellman, Tristan 0000-0003-3049-6214 twellman@usgs.gov","orcid":"https://orcid.org/0000-0003-3049-6214","contributorId":2166,"corporation":false,"usgs":true,"family":"Wellman","given":"Tristan","email":"twellman@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828568,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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