{"pageNumber":"558","pageRowStart":"13925","pageSize":"25","recordCount":165309,"records":[{"id":70228250,"text":"70228250 - 2020 - Estimating nitrogen removal services of eastern oyster (Crassostrea virginica) in Mobile Bay, Alabama","interactions":[],"lastModifiedDate":"2022-02-08T17:08:16.269993","indexId":"70228250","displayToPublicDate":"2020-10-01T10:46:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Estimating nitrogen removal services of eastern oyster (Crassostrea virginica) in Mobile Bay, Alabama","title":"Estimating nitrogen removal services of eastern oyster (Crassostrea virginica) in Mobile Bay, Alabama","docAbstract":"

Eastern oysters have been acknowledged for their important contribution to human well-being by providing goods and services including nitrogen removal from water bodies. In this study, we integrated daily environmental data (2008–2016) and filtration rate model parameter uncertainty to estimate nitrogen removal from denitrification and nitrogen burial services provided by the current extent of oyster (Crassostrea virginica) reefs in Mobile Bay, Alabama. Oyster landing data (2008–2016) in the Bay were also used to estimate nitrogen removal through oyster harvest. A replacement cost method using an engineering solution from wastewater treatment plants was implemented to quantify the economic benefit of the nitrogen removal. The estimated total nitrogen removal services provided by oyster reefs in Mobile Bay was 34,911 ± 5,032 kg N yr−1 (mean ± 1sd), in which 22,095 ± 3,305 kg N yr−1 from denitrification, 11,047 ± 1,652 kg N yr−1 from burial of nitrogen into sediments and 1,769 ± 876 kg N yr−1 by oyster harvest. The mean economic benefit was $76,455 ± 11,020 yr−1 which was estimated as $73.2 ± 11.5 ha−1 yr−1. This method could be used for any time period to estimate the nitrogen removal service in Mobile Bay. With proper modification of model parameters, this method could also be used elsewhere to estimate nitrogen removal services provided by oysters.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2020.106541","usgsCitation":"Lai, Q., Irwin, E.R., and Zhang, Y., 2020, Estimating nitrogen removal services of eastern oyster (Crassostrea virginica) in Mobile Bay, Alabama: Ecological Indicators, v. 117, p. 1-9, https://doi.org/10.1016/j.ecolind.2020.106541.","productDescription":"106541, 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-109626","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":455156,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2020.106541","text":"Publisher Index Page"},{"id":395631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Gulf of Mexico, Mobile Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.25042724609374,\n 30.23652704486517\n ],\n [\n -88.06228637695312,\n 30.203300547277813\n ],\n [\n -87.69012451171875,\n 30.22466172703242\n ],\n [\n -87.88375854492186,\n 30.456960567387625\n ],\n [\n -87.85491943359375,\n 30.822063696500948\n ],\n [\n -88.05130004882812,\n 30.86686781614027\n ],\n [\n -88.13232421875,\n 30.657996912582398\n ],\n [\n -88.25042724609374,\n 30.23652704486517\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lai, Quan","contributorId":204521,"corporation":false,"usgs":false,"family":"Lai","given":"Quan","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":833537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":833538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Yaoqi","contributorId":275164,"corporation":false,"usgs":false,"family":"Zhang","given":"Yaoqi","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":833750,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215979,"text":"70215979 - 2020 - The impacts of a changing climate to DOD coastal facilities in the tropical Pacific Ocean","interactions":[],"lastModifiedDate":"2021-01-28T16:34:47.129382","indexId":"70215979","displayToPublicDate":"2020-10-01T10:26:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2837,"text":"Natural Selections","active":true,"publicationSubtype":{"id":10}},"title":"The impacts of a changing climate to DOD coastal facilities in the tropical Pacific Ocean","docAbstract":"

The USGS, the National Oceanic and Atmospheric Administration (NOAA), Deltares, and the University of Hawaii (UH) recently completed a study investigating the impact of a changing climate and sea-level rise on Roi-Namur Island on Kwajalein Atoll in the Republic of the Marshall Islands, which is part of the Ronald Reagan Ballistic Missile Defense Test Site (RTS). The isolated location of RTS makes it uniquely suited to support realistic testing of missiles and intercept scenarios with minimal safety and environmental concerns. In addition, this unique location supports research and development for space and missile programs and space reconnaissance and surveillance operations. RTS has been a critical component of the Pacific Range, with the world’s most advanced telemetry, optics, and radar instrumentation used to collect metric and signature data on missiles.

","language":"English","publisher":"U.S. Department of Defense","usgsCitation":"Storlazzi, C., 2020, The impacts of a changing climate to DOD coastal facilities in the tropical Pacific Ocean: Natural Selections, no. Fall, p. 5-6.","productDescription":"2 p.","startPage":"5","endPage":"6","ipdsId":"IP-119241","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":382763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":380012,"type":{"id":11,"text":"Document"},"url":"https://www.denix.osd.mil/nr/resources/newsletter/2020/fall-2020/Natural%20Selections_Fall%202020_v8_final_508.pdf"}],"country":"Republic of the Marshall Islands","otherGeospatial":"Kwajalein Atoll","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 167.69720077514648,\n 8.704062518222123\n ],\n [\n 167.7499008178711,\n 8.704062518222123\n ],\n [\n 167.7499008178711,\n 8.755812668914562\n ],\n [\n 167.69720077514648,\n 8.755812668914562\n ],\n [\n 167.69720077514648,\n 8.704062518222123\n ]\n ]\n ]\n }\n }\n ]\n}","issue":"Fall","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":244273,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":803647,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70214571,"text":"ofr20201087 - 2020 - Analyses on subpopulation abundance and annual number of maternal dens for the U.S. Fish and Wildlife Service on polar bears (Ursus maritimus) in the southern Beaufort Sea, Alaska","interactions":[],"lastModifiedDate":"2020-10-02T11:46:04.926688","indexId":"ofr20201087","displayToPublicDate":"2020-10-01T10:12:49","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1087","displayTitle":"Analyses on Subpopulation Abundance and Annual Number of Maternal Dens for the U.S. Fish and Wildlife Service on Polar Bears (Ursus maritimus) in the Southern Beaufort Sea, Alaska","title":"Analyses on subpopulation abundance and annual number of maternal dens for the U.S. Fish and Wildlife Service on polar bears (Ursus maritimus) in the southern Beaufort Sea, Alaska","docAbstract":"

The long-term persistence of polar bears (Ursus maritimus) is threatened by sea-ice loss due to climate change, which is concurrently providing an opportunity in the Arctic for increased anthropogenic activities including natural resource extraction. Mitigating the risk of those activities, which can adversely affect the population dynamics of the southern Beaufort Sea (SBS) subpopulation, is an emerging challenge as polar bears become more reliant on land and come into more frequent contact with humans. The Marine Mammal Protection Act and Endangered Species Act require the U.S. Fish and Wildlife Service to determine whether industrial activities will have a negligible impact on the SBS subpopulation. Information important to making that determination includes estimates of subpopulation abundance and the number of maternal dens likely to be present in areas where industrial activities occur. We analyzed mark-recapture data collected from SBS polar bears sampled in Alaska during 2001–16 using multistate Cormack-Jolly-Seber models. Estimated survival rates were relatively high during 2001–03, lower during 2004–08, then higher during 2009–15 except for 2012. Estimated abundance in the Alaska part of the SBS was consistent with the estimated survival rates, declining from about 1,300 bears in 2003 to 525 bears in 2006 and then remaining generally stable during 2006–15. The point estimate for the Alaska part of the SBS in 2015, the last year in which abundance could be estimated, was 573 bears (95-percent credible interval = 232, 1,140 bears). To estimate the expected number of terrestrial dens likely to be present in a given region in a given year, we used a Bayesian modeling approach based on calculations derived from SBS demographic and denning data. We estimated that the entire SBS subpopulation produced 123 dens per year (median; 95-percent credible interval = 69, 198 dens), 66 (median; 95-percent credible interval = 35, 110 dens) of which were land-based. Most land-based dens were located between the Colville and Canning Rivers (which includes the Prudhoe Bay-Kuparuk industrial footprint), followed by the 1002 Area of the Arctic National Wildlife Refuge and the National Petroleum Reserve-Alaska.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201087","collaboration":"U.S. Geological Survey Wildlife Program","usgsCitation":"Atwood, T.C., Bromaghin, J.F., Patil, V.P., Durner, G.M., Douglas, D.C., and Simac, K.S., 2020, Analyses on subpopulation abundance and annual number of maternal dens for the U.S. Fish and Wildlife Service on polar bears (Ursus maritimus) in the southern Beaufort Sea, Alaska: U.S. Geological Survey Open-File Report 2020-1087, 16 p., https://doi.org/10.3133/ofr20201087.","productDescription":"Report: iv, 16 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-120083","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":378973,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1121","text":"Data Series 1121","description":"DS 1121"},{"id":378971,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1087/coverthb.jpg"},{"id":378972,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1087/ofr20201087.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1087"},{"id":378974,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A9E5UP","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Multistate capture and search data from the southern Beaufort Sea polar bear subpopulation in Alaska, 2001-2016"}],"country":"United States","state":"Alaska","otherGeospatial":"Southern Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.642578125,\n 69.06856318696033\n ],\n [\n -140.9326171875,\n 69.06856318696033\n ],\n [\n -140.9326171875,\n 72.40899172812024\n ],\n [\n -158.642578125,\n 72.40899172812024\n ],\n [\n -158.642578125,\n 69.06856318696033\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Alaska Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-10-01","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":800373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":800374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simac, Kristin S. 0000-0002-4072-1940 ksimac@usgs.gov","orcid":"https://orcid.org/0000-0002-4072-1940","contributorId":131096,"corporation":false,"usgs":true,"family":"Simac","given":"Kristin","email":"ksimac@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":800376,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216296,"text":"70216296 - 2020 - Memorial to Jack B. Epstein 1935-2020","interactions":[],"lastModifiedDate":"2020-11-12T16:04:33.76603","indexId":"70216296","displayToPublicDate":"2020-10-01T09:49:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5256,"text":"Geological Society of America Memorials","active":true,"publicationSubtype":{"id":10}},"title":"Memorial to Jack B. Epstein 1935-2020","docAbstract":"Jack Burton Epstein, a career geologist with the U.S. Geological Survey (USGS) passed away in May 2020 at his home in Great Falls, Virginia. His career and contributions to the USGS spanned more than 60 years from his time as a summer field assistant while attending college, through 40 years as a research geologist, and more than 15 years as an emeritus scientist. Jack was born December 27, 1935 in Brooklyn, New York and attended CUNY- Brooklyn College where he received his Bachelor of Science degree in geology in 1956. He earned his Master of Science degree in 1958 from the University of Wyoming, and his doctorate degree in geology in 1970 from The Ohio State University. His master’s thesis was geologic mapping of the Fanny Peak quadrangle, Black Hills of Wyoming and South Dakota, and his Ph. D. dissertation focused on the geology of the Stroudsburg quadrangle and adjacent areas, Pennsylvania and New Jersey.","language":"English","publisher":"Geological Society of America","usgsCitation":"Orndorff, R.C., Weary, D.J., and Lyttle, P.T., 2020, Memorial to Jack B. Epstein 1935-2020: Geological Society of America Memorials, v. 49, p. 51-53.","productDescription":"3 p.","startPage":"51","endPage":"53","ipdsId":"IP-123108","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":380461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":380459,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.geosociety.org/GSA/Publications/Books/Memorials/GSA/Pubs/Memorials.aspx"},{"id":380396,"type":{"id":5,"text":"Authors Website"},"url":"https://www.usgs.gov/center-news/memorial-jack-b-epstein1935-2020"}],"volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":804589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weary, David J. 0000-0002-6115-6397 dweary@usgs.gov","orcid":"https://orcid.org/0000-0002-6115-6397","contributorId":545,"corporation":false,"usgs":true,"family":"Weary","given":"David","email":"dweary@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":804590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyttle, Peter T.","contributorId":244786,"corporation":false,"usgs":false,"family":"Lyttle","given":"Peter","email":"","middleInitial":"T.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":804591,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228380,"text":"70228380 - 2020 - An open-sourced, web-based application to improve our ability to understand hunter and angler purchasing behavior from license data","interactions":[],"lastModifiedDate":"2022-02-09T15:54:16.569092","indexId":"70228380","displayToPublicDate":"2020-10-01T09:45:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"An open-sourced, web-based application to improve our ability to understand hunter and angler purchasing behavior from license data","docAbstract":"

State fish and wildlife agencies rely on hunters and anglers (i.e., sportspersons) to fund management actions through revenue generated from license sales and excise taxes on hunting and fishing equipment. There is a need to develop new techniques that bridge the information gap on participation and provide agencies with an understanding of sportspersons at a resolution that can more directly inform efforts to engage sportspersons. Monitoring sportsperson participation using information about their license-purchasing behavior has the potential to reveal important patterns in recruitment (first-time purchase of a hunting or fishing license), retention (continued purchase of licenses across multiple years), and reactivation (purchase a license after several years with no purchases). Providing up-to-date information on what licenses are purchased, when and by whom may prove invaluable to managers and policy makers. We present a customizable, open-source, web-based application—huntfishapp—that allows the user to query and interact with a structured query language (SQL) hunting and fishing license database. The huntfishapp serves as an informational resource and tool that provides a framework to share information on license sales across an agency, with intent of increasing understanding of (a) sportspersons and (b) how management decisions affect sportspersons. Data dashboards, like the huntfishapp, allow agencies and non-governmental organizations to become more knowledgeable of their customer base and provide a greater understanding of management-decision effects on hunting and fishing participation.

","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0226397","usgsCitation":"Price, N.B., Chizinski, C.J., Fontaine, J.J., Pope, K.L., Rahe, M., and Rawlinson, J., 2020, An open-sourced, web-based application to improve our ability to understand hunter and angler purchasing behavior from license data: PLoS ONE, v. 15, no. 10, p. 1-17, https://doi.org/10.1371/journal.pone.0226397.","productDescription":"e0226397, 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-111226","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":455159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0226397","text":"Publisher Index Page"},{"id":395669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"editors":[{"text":"Xin, Baogui","contributorId":275367,"corporation":false,"usgs":false,"family":"Xin","given":"Baogui","email":"","affiliations":[],"preferred":false,"id":834054,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Price, Nathaniel B.","contributorId":264316,"corporation":false,"usgs":false,"family":"Price","given":"Nathaniel","email":"","middleInitial":"B.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":834042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chizinski, Christopher J.","contributorId":7178,"corporation":false,"usgs":false,"family":"Chizinski","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":834043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fontaine, Joseph J. 0000-0002-7639-9156 jfontaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-9156","contributorId":3820,"corporation":false,"usgs":true,"family":"Fontaine","given":"Joseph","email":"jfontaine@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":834045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rahe, Micaela","contributorId":275362,"corporation":false,"usgs":false,"family":"Rahe","given":"Micaela","email":"","affiliations":[{"id":56765,"text":"National Wild Turkey Federation","active":true,"usgs":false}],"preferred":false,"id":834046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rawlinson, Jeff","contributorId":275363,"corporation":false,"usgs":false,"family":"Rawlinson","given":"Jeff","email":"","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":834047,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227191,"text":"70227191 - 2020 - “Mostri Marini”: Constantine S. Rafinesque's names for three of Antonino Mongitore's Sicilian whales","interactions":[],"lastModifiedDate":"2022-01-04T15:35:27.933477","indexId":"70227191","displayToPublicDate":"2020-10-01T09:26:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":890,"text":"Archives of Natural History","active":true,"publicationSubtype":{"id":10}},"title":"“Mostri Marini”: Constantine S. Rafinesque's names for three of Antonino Mongitore's Sicilian whales","docAbstract":"

In 1815, the naturalist Constantine Samuel Rafinesque (1783–1840) previewed three new species of cetaceans – Delphinus dalippus, Physeter urganantus and Oxypterus mongitori – that he intended to describe from Sicily based on illustrations in Antonino Mongitore's published work Della Sicilia ricercata nelle cose più memorabili (1742–1743). Although formal descriptions of the three species were never published, Rafinesque's reference to Mongitore's illustrations made the names available by “indication”. The names, nonetheless, fell into obscurity, most likely a result of contemporary taxonomists' lack of access to Mongitore's work. Rafinesque's names remain relevant to the history of cetacean taxonomy, although they are no longer applicable. Moreover, the animals associated with these names add to the historical record of whale strandings in the Mediterranean. For these reasons, we studied the illustrations Rafinesque indicated for his cetaceans and reviewed Mongitore's accompanying text, which together provide sufficient distinctive characters that two of the three animals can be confidently identified with modern species, namely the sperm whale, Physeter catodon (Linnaeus, 1758), and the false killer whale, Pseudorca crassidens (Owen, 1846). Had Rafinesque's name D. dalippus been recognized for what it was, it would have had priority over P. crassidens as the earliest scientific name for the false killer whale.

","language":"English","publisher":"University of Edinburgh Press","doi":"10.3366/anh.2020.0659","usgsCitation":"Woodman, N., Mead, J.G., and McGowen, M.R., 2020, “Mostri Marini”: Constantine S. Rafinesque's names for three of Antonino Mongitore's Sicilian whales: Archives of Natural History, v. 47, no. 2, p. 344-355, https://doi.org/10.3366/anh.2020.0659.","productDescription":"12 p.","startPage":"344","endPage":"355","ipdsId":"IP-111832","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":393856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mediterranean Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -2.3291015625,\n 34.77771580360469\n ],\n [\n 2.4169921874999996,\n 36.35052700542763\n ],\n [\n 9.5361328125,\n 36.77409249464195\n ],\n [\n 10.634765625,\n 35.35321610123823\n ],\n [\n 10.0634765625,\n 34.34343606848294\n ],\n [\n 8.9208984375,\n 34.415973384481866\n ],\n [\n 7.470703125,\n 33.97980872872457\n ],\n [\n 8.0419921875,\n 33.247875947924385\n ],\n [\n 9.9755859375,\n 33.17434155100208\n ],\n [\n 14.7216796875,\n 32.24997445586331\n ],\n [\n 15.2490234375,\n 31.316101383495624\n ],\n [\n 19.072265625,\n 29.84064389983441\n ],\n [\n 20.6103515625,\n 30.372875188118016\n ],\n [\n 20.478515625,\n 32.02670629333614\n ],\n [\n 21.665039062499996,\n 32.54681317351514\n ],\n [\n 28.9599609375,\n 30.600093873550072\n ],\n [\n 30.5419921875,\n 31.240985378021307\n ],\n [\n 32.1240234375,\n 30.939924331023445\n ],\n [\n 34.0576171875,\n 30.751277776257812\n ],\n [\n 34.892578125,\n 31.690781806136822\n ],\n [\n 36.1669921875,\n 34.92197103616377\n ],\n [\n 36.650390625,\n 36.421282443649496\n ],\n [\n 36.1669921875,\n 37.16031654673677\n ],\n [\n 34.5849609375,\n 36.914764288955936\n ],\n [\n 32.607421875,\n 36.31512514748051\n ],\n [\n 32.1240234375,\n 36.87962060502676\n ],\n [\n 30.498046875,\n 37.16031654673677\n ],\n [\n 29.7509765625,\n 36.527294814546245\n ],\n [\n 27.9052734375,\n 37.47485808497102\n ],\n [\n 27.4658203125,\n 38.41055825094609\n ],\n [\n 26.8505859375,\n 39.842286020743394\n ],\n [\n 27.24609375,\n 40.48038142908172\n ],\n [\n 25.224609375,\n 41.244772343082076\n ],\n [\n 23.1591796875,\n 40.88029480552824\n ],\n [\n 21.9287109375,\n 40.34654412118006\n ],\n [\n 23.73046875,\n 38.16911413556086\n ],\n [\n 22.1923828125,\n 37.64903402157866\n ],\n [\n 23.1591796875,\n 36.87962060502676\n ],\n [\n 21.796875,\n 37.16031654673677\n ],\n [\n 21.09375,\n 39.16414104768742\n ],\n [\n 19.51171875,\n 40.68063802521456\n ],\n [\n 19.6435546875,\n 41.96765920367816\n ],\n [\n 17.314453125,\n 43.35713822211053\n ],\n [\n 15.4248046875,\n 44.49650533109348\n ],\n [\n 14.414062499999998,\n 45.583289756006316\n ],\n [\n 13.886718749999998,\n 45.24395342262324\n ],\n [\n 13.6669921875,\n 46.10370875598026\n ],\n [\n 11.8212890625,\n 45.61403741135093\n ],\n [\n 11.6455078125,\n 44.62175409623324\n ],\n [\n 13.271484375,\n 43.54854811091286\n ],\n [\n 14.5458984375,\n 41.96765920367816\n ],\n [\n 17.402343749999996,\n 40.81380923056958\n ],\n [\n 18.28125,\n 40.04443758460856\n ],\n [\n 16.918945312499996,\n 40.84706035607122\n ],\n [\n 16.2158203125,\n 39.90973623453719\n ],\n [\n 16.918945312499996,\n 39.232253141714885\n ],\n [\n 15.908203125,\n 38.16911413556086\n ],\n [\n 15.073242187499998,\n 38.09998264736481\n ],\n [\n 14.897460937499998,\n 36.98500309285596\n ],\n [\n 12.7880859375,\n 37.89219554724437\n ],\n [\n 15.6005859375,\n 38.16911413556086\n ],\n [\n 16.259765625,\n 38.788345355085625\n ],\n [\n 15.908203125,\n 40.07807142745009\n ],\n [\n 13.7109375,\n 41.409775832009565\n ],\n [\n 12.7880859375,\n 41.73852846935917\n ],\n [\n 10.7666015625,\n 43.197167282501276\n ],\n [\n 10.458984375,\n 44.11914151643737\n ],\n [\n 8.5693359375,\n 44.68427737181225\n ],\n [\n 6.1962890625,\n 43.42100882994726\n ],\n [\n 3.9990234375,\n 43.96119063892024\n ],\n [\n 2.63671875,\n 43.13306116240612\n ],\n [\n 2.9443359375,\n 42.032974332441405\n ],\n [\n 0.615234375,\n 41.27780646738183\n ],\n [\n -0.7470703125,\n 39.639537564366684\n ],\n [\n -0.3515625,\n 38.85682013474361\n ],\n [\n -1.23046875,\n 37.89219554724437\n ],\n [\n -2.197265625,\n 37.09023980307208\n ],\n [\n -4.350585937499999,\n 36.914764288955936\n ],\n [\n -5.80078125,\n 36.38591277287651\n ],\n [\n -5.888671875,\n 35.746512259918504\n ],\n [\n -4.8779296875,\n 35.02999636902566\n ],\n [\n -2.3291015625,\n 34.77771580360469\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":830031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mead, James G.","contributorId":196893,"corporation":false,"usgs":false,"family":"Mead","given":"James","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":830032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowen, Michael R.","contributorId":270784,"corporation":false,"usgs":false,"family":"McGowen","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":830033,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215556,"text":"70215556 - 2020 - Growth rates for immature Kemp’s ridley sea turtles from a foraging area in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-10-23T14:13:43.032702","indexId":"70215556","displayToPublicDate":"2020-10-01T09:12:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Growth rates for immature Kemp’s ridley sea turtles from a foraging area in the northern Gulf of Mexico","docAbstract":"

Examining vital rates helps clarify how environmental characteristics, biological resources and human activities affect population growth. Carapace lengths were gathered for 241 Kemp’s ridley Lepidochelys kempii sea turtles that were marked and recaptured (n = 23) between 2011 and 2019 at a foraging location in northwest Florida, USA. There was a strong correlation between length, width and weight of captured turtles. Mean ± SD size of all captured turtles was 36.6 ± 7.6 cm. Mean recapture interval was 499 ± 475.4 d. Straight-line carapace lengths at initial capture ranged from 20.6 to 53.3 cm. Growth rates from 0.21 to 12.44 cm yr-1 (mean 3.15 ± 2.64 cm) were documented and were greatest for turtles in the 20.0-29.9 cm size class. Growth rates from northwest Florida were slower than those reported from other sites in the Gulf of Mexico. These results indicate that Kemp’s ridleys recruit from oceanic habitat into coastal bays in northwest Florida, where they remain until they reach adulthood. However, some adult-sized turtles may continue to use the nearshore habitat. A gradient in growth rates in the Gulf of Mexico may occur from faster growth in the south to slower growth in the north. Fine-scale variations in resources and environmental conditions may drive regional differences in growth rates, and research on what drives these differences is needed.

","language":"English","publisher":"Inter Research","doi":"10.3354/meps13469","usgsCitation":"Lamont, M., and Johnson, D., 2020, Growth rates for immature Kemp’s ridley sea turtles from a foraging area in the northern Gulf of Mexico: Marine Ecology Progress Series, v. 652, p. 145-155, https://doi.org/10.3354/meps13469.","productDescription":"11 p.","startPage":"145","endPage":"155","ipdsId":"IP-117876","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":379690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Northern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.162109375,\n 23.96617587126503\n ],\n [\n -81.650390625,\n 23.96617587126503\n ],\n [\n -81.650390625,\n 31.728167146023935\n ],\n [\n -101.162109375,\n 31.728167146023935\n ],\n [\n -101.162109375,\n 23.96617587126503\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"652","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":222403,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":802730,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216486,"text":"70216486 - 2020 - Twelve-year dynamics and rainfall thresholds for alternating creep and rapid movement of the Hooskanaden landslide from integrating InSAR, pixel offset tracking, and borehole and hydrological measurements","interactions":[],"lastModifiedDate":"2020-11-23T14:24:51.327379","indexId":"70216486","displayToPublicDate":"2020-10-01T08:13:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Twelve-year dynamics and rainfall thresholds for alternating creep and rapid movement of the Hooskanaden landslide from integrating InSAR, pixel offset tracking, and borehole and hydrological measurements","docAbstract":"

The Hooskanaden landslide is a large (~600 m wide × 1,300 m long), deep (~30 – 45 m) slide located in southwestern Oregon. Since 1958, it has had five moderate/major movements that catastrophically damaged the intersecting U.S. Highway 101, along with persistent slow wet‐season movements and a long‐term accelerating trend due to coastal erosion. Multiple remote sensing approaches, borehole measurements, and hydrological observations have been integrated to interpret the motion behaviors of the slide. Pixel offset tracking of both Sentinel‐1 and Sentinel‐2 images was carried out to reconstruct the 3‐D displacement field of the 2019 major event, and the results agree well with field measurements. A 12‐year displacement history of the landslide from 2007 to 2019 has been retrieved by incorporating offsets from Light Detection and Ranging (LiDAR) digital elevation model (DEM) gradients and Interferometric Synthetic Aperture Radar (InSAR) processing of ALOS and Sentinel‐1 images. Comparisons with daily/hourly ground precipitation reveal that the motion dynamics are predominantly controlled by intensity and temporal pattern of rainfall. A new empirical threefold rainfall threshold was therefore proposed to forecast the dates for the moderate/major movements. This threshold relies upon antecedent water‐year and previous 3‐day and daily precipitation and was able to represent observed movement periods well. Adaptation of our threshold methodology could prove useful for other large, deep landslides for which temporal forecasting has long been generally intractable. The averaged characteristic hydraulic conductivity and diffusivity were estimated as 6.6 × 10−6 m/s and 6.6 × 10−4 m2/s, respectively, based on the time lags between rainfall pulses and slide accelerations. Hydrologic modeling using these parameters helps to explain the ability of the new rainfall threshold.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JF005640","usgsCitation":"Xu, Y., Lu, Z., Schulz, W.H., and Kim, J., 2020, Twelve-year dynamics and rainfall thresholds for alternating creep and rapid movement of the Hooskanaden landslide from integrating InSAR, pixel offset tracking, and borehole and hydrological measurements: JGR Earth Surface, e2020JF005640, 17 p., https://doi.org/10.1029/2020JF005640.","productDescription":"e2020JF005640, 17 p.","ipdsId":"IP-122021","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":455164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jf005640","text":"Publisher Index Page"},{"id":380683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Hooskanaden Landslide","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.4146728515625,\n 42.09822241118974\n ],\n [\n -124.11392211914062,\n 42.09822241118974\n ],\n [\n -124.11392211914062,\n 42.2752765520868\n ],\n [\n -124.4146728515625,\n 42.2752765520868\n ],\n [\n -124.4146728515625,\n 42.09822241118974\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Y.","contributorId":245125,"corporation":false,"usgs":false,"family":"Xu","given":"Y.","affiliations":[{"id":49088,"text":"Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275, USA","active":true,"usgs":false}],"preferred":false,"id":805387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Z.","contributorId":199276,"corporation":false,"usgs":false,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":805388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":805389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, J.","contributorId":245126,"corporation":false,"usgs":false,"family":"Kim","given":"J.","affiliations":[{"id":49088,"text":"Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275, USA","active":true,"usgs":false}],"preferred":false,"id":805390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216471,"text":"70216471 - 2020 - Improved prediction of management-relevant groundwater discharge characteristics throughout river networks","interactions":[],"lastModifiedDate":"2020-11-20T13:56:50.942422","indexId":"70216471","displayToPublicDate":"2020-10-01T07:54:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Improved prediction of management-relevant groundwater discharge characteristics throughout river networks","docAbstract":"

Groundwater discharge zones connect aquifers to surface water, generating baseflow and serving as ecosystem control points across aquatic ecosystems. The influence of groundwater discharge on surface flow connectivity, fate and transport of contaminants and nutrients, and thermal habitat depends strongly on hydrologic characteristics such as the spatial distribution, age, and depth of source groundwater flow paths. Groundwater models have the potential to predict spatial discharge characteristics within river networks, but models are often not evaluated against these critical characteristics and model equifinality with respect to discharge processes is a known challenge. We quantify discharge characteristics across a suite of groundwater models with commonly used frameworks and calibration data. We developed a base model (MODFLOW‐NWT) for a 1,570‐km2 watershed in the northeastern United States and varied the calibration data, control of river‐aquifer exchange directionality, and resolution. Most models (n = 11 of 12) fit similarly to calibration metrics, but patterns in discharge location, flow path depth, and subsurface travel time varied substantially. We found (1) a 15% difference in the percent of discharge going to first‐order streams, (2) threefold variations in flow path depth, and (3) sevenfold variations in the subsurface travel times among the models. We recalibrated three models using a synthetic discharge location data set. Calibration with discharge location data reduced differences in simulated discharge characteristics, suggesting an approach to improved equifinality based on widespread field‐based mapping of discharge zones. Our work quantifying variation across common modeling approaches is an important step toward characterizing and improving predictions of groundwater discharge characteristics.

","language":"English","publisher":"Wiley","doi":"10.1029/2020WR028027","usgsCitation":"Barclay, J.R., Starn, J., Briggs, M.A., and Helton, A., 2020, Improved prediction of management-relevant groundwater discharge characteristics throughout river networks: Water Resources Research, v. 56, no. 10, e2020WR028027, 19 p., https://doi.org/10.1029/2020WR028027.","productDescription":"e2020WR028027, 19 p.","ipdsId":"IP-111576","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":436770,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P960RSKM","text":"USGS data release","linkHelpText":"MODFLOW-NWT and MODPATH groundwater flow models of the Farmington River Watershed (Connecticut and Massachusetts)"},{"id":380643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Massachusetts","otherGeospatial":"Farmington River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.212890625,\n 41.76106872528616\n ],\n [\n -72.66357421875,\n 41.76106872528616\n ],\n [\n -72.66357421875,\n 42.2752765520868\n ],\n [\n -73.212890625,\n 42.2752765520868\n ],\n [\n -73.212890625,\n 41.76106872528616\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"56","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Starn, J. Jeffrey 0000-0001-5909-0010 jjstarn@usgs.gov","orcid":"https://orcid.org/0000-0001-5909-0010","contributorId":1916,"corporation":false,"usgs":true,"family":"Starn","given":"J. Jeffrey","email":"jjstarn@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":805226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":805227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helton, Ashley","contributorId":219741,"corporation":false,"usgs":false,"family":"Helton","given":"Ashley","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":805228,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216500,"text":"70216500 - 2020 - Tradeoffs with growth limit host range in complex life-cycle helminths","interactions":[],"lastModifiedDate":"2021-02-04T00:01:15.052436","indexId":"70216500","displayToPublicDate":"2020-10-01T07:45:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5500,"text":"The American Naturalist","onlineIssn":"1537-5323","printIssn":" 0003-014","active":true,"publicationSubtype":{"id":10}},"title":"Tradeoffs with growth limit host range in complex life-cycle helminths","docAbstract":"Parasitic worms with complex life cycles have several developmental stages, with each stage creating opportunities to infect additional host species. Using a dataset for 973 species of trophically transmitted acanthocephalans, cestodes, and nematodes, we confirmed that worms with longer life cycles (i.e. more successive hosts) infect a greater diversity of host species and taxa (after controlling for study effort). Generalism at the stage level was highest for ‘middle’ life stages, the second and third intermediate hosts of long life cycles. By simulating life cycles in real food webs, we found that middle stages had more potential host species to infect, suggesting that opportunity constrains generalism. However, parasites usually infected fewer host species than expected from simulated cycles, suggesting generalism also has costs. There was no tradeoff in generalism from one stage to the next, but worms spent less time growing and developing in stages where they infected more taxonomically diverse hosts. Our results demonstrate that life cycle complexity favors high generalism, and host use across life stages is determined by both ecological opportunity and life history tradeoffs.","language":"English","publisher":"University of Chicago Press","doi":"10.1086/712249","usgsCitation":"Benesh, D.P., Parker, G.G., Chubb, J.C., and Lafferty, K.D., 2020, Tradeoffs with growth limit host range in complex life-cycle helminths: The American Naturalist, v. 197, no. 2, p. E40-E54, https://doi.org/10.1086/712249.","productDescription":"15 p.","startPage":"E40","endPage":"E54","ipdsId":"IP-117519","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":380739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"197","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Benesh, Daniel P.","contributorId":181950,"corporation":false,"usgs":false,"family":"Benesh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":805472,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Geoffrey G.","contributorId":197841,"corporation":false,"usgs":false,"family":"Parker","given":"Geoffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":805473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chubb, James C","contributorId":245155,"corporation":false,"usgs":false,"family":"Chubb","given":"James","email":"","middleInitial":"C","affiliations":[{"id":49097,"text":"Department of Evolution, Ecology and Behaviour, University of Liverpool, Liverpool L69 7ZB, UK","active":true,"usgs":false}],"preferred":false,"id":805474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":805475,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70214672,"text":"70214672 - 2020 - Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing","interactions":[],"lastModifiedDate":"2024-05-16T14:54:29.115475","indexId":"70214672","displayToPublicDate":"2020-10-01T07:36:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1121,"text":"Bulletin of the Ecological Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing","docAbstract":"Across the Central Valley of California, millions of wintering waterfowl rely on moist soil seed (MSS) plants that grow in managed seasonal wetlands as a critical source of food. Estimates of MSS plant production are used to set waterfowl habitat targets yet this information is not well known. We created the first Central Valley-wide time series maps of MSS plant distributions and productivity. We found that MSS plant seed yield declined in critical drought years, which corresponded with reduced water delivery to managed wetlands. Our results provide improved food resource estimates and information to help managers prioritize actions as water supply becomes more uncertain with climate change.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/bes2.1770","usgsCitation":"Byrd, K.B., Lorenz, A., Anderson, J., Wallace, C., Moore-O'Leary, K., Isola, J., Ortega, R., and Reiter, M., 2020, Quantifying drought’s influence on moist soil seed vegetation in California’s Central Valley through remote sensing: Bulletin of the Ecological Society of America, v. 101, no. 4, e01770, 5 p., https://doi.org/10.1002/bes2.1770.","productDescription":"e01770, 5 p.","ipdsId":"IP-121302","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":455168,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/bes2.1770","text":"Publisher Index Page"},{"id":378984,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.51953124999999,\n 40.613952441166596\n ],\n [\n -122.82714843749999,\n 40.54720023441049\n ],\n [\n -122.78320312499999,\n 39.9434364619742\n ],\n [\n -122.82714843749999,\n 39.198205348894795\n ],\n [\n -122.16796875,\n 38.51378825951165\n ],\n [\n -121.59667968749999,\n 37.78808138412046\n ],\n [\n -120.9375,\n 36.84446074079564\n ],\n [\n -120.36621093749999,\n 35.92464453144099\n ],\n [\n -119.3115234375,\n 35.17380831799959\n ],\n [\n -118.65234374999999,\n 35.06597313798418\n ],\n [\n -118.43261718749999,\n 35.35321610123823\n ],\n [\n -118.5205078125,\n 36.27970720524017\n ],\n [\n -119.267578125,\n 37.055177106660814\n ],\n [\n -120.14648437499999,\n 37.78808138412046\n ],\n [\n -120.80566406250001,\n 38.30718056188316\n ],\n [\n -121.5087890625,\n 39.232253141714885\n ],\n [\n -121.59667968749999,\n 39.740986355883564\n ],\n [\n -121.9482421875,\n 40.48038142908172\n ],\n [\n -122.51953124999999,\n 40.613952441166596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":800385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, Austen 0000-0003-3657-5941","orcid":"https://orcid.org/0000-0003-3657-5941","contributorId":222610,"corporation":false,"usgs":true,"family":"Lorenz","given":"Austen","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":800386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, James","contributorId":242025,"corporation":false,"usgs":false,"family":"Anderson","given":"James","affiliations":[{"id":40562,"text":"Golder Associates","active":true,"usgs":false}],"preferred":false,"id":800387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, Cynthia 0000-0003-0001-8828 cwallace@usgs.gov","orcid":"https://orcid.org/0000-0003-0001-8828","contributorId":149179,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia","email":"cwallace@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":800388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore-O'Leary, Kara","contributorId":242026,"corporation":false,"usgs":false,"family":"Moore-O'Leary","given":"Kara","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":800389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isola, Jennifer","contributorId":242027,"corporation":false,"usgs":false,"family":"Isola","given":"Jennifer","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":800390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ortega, Ricardo","contributorId":242028,"corporation":false,"usgs":false,"family":"Ortega","given":"Ricardo","email":"","affiliations":[{"id":48476,"text":"Grassland Water District","active":true,"usgs":false}],"preferred":false,"id":800391,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reiter, Matt","contributorId":242029,"corporation":false,"usgs":false,"family":"Reiter","given":"Matt","email":"","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":800392,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70214679,"text":"70214679 - 2020 - Photoluminescence imaging of whole zircon grains on a petrographic microscope—An underused aide for geochronologic studies","interactions":[],"lastModifiedDate":"2020-10-02T12:33:44.424123","indexId":"70214679","displayToPublicDate":"2020-10-01T07:22:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Photoluminescence imaging of whole zircon grains on a petrographic microscope—An underused aide for geochronologic studies","docAbstract":"
The refractory nature of zircon to temperature and pressure allows even a single zircon grain to preserve a rich history of magmatic, metamorphic, and hydrothermal processes. Isotopic dating of micro-domains exposed in cross-sections of zircon grains allows us to interrogate this history. Unfortunately, our ability to select the zircon grains in a heavy mineral concentrate that records the most geochronologic information is limited by our inability to predict internal zonation from observations of whole grains. Here we document the use of a petrographic microscope to observe and image the photoluminescence (PL) response of whole zircon grains excited under ultraviolet (UV) light, and the utility of this PL response in selecting grains for geochronology. While zircon fluorescence has long been known, there is limited documentation of its utility for and application to geochronologic studies. Our observations of zircon from an un-metamorphosed igneous rock, two meta-igneous rocks, and a placer deposit show that variations in the PL color are readily observable in real-time, both among grains in a population of zircons and within single grains. Analyses of cross-sections of the same grains demonstrate that the changes in PL correlate with zoning in backscattered electron (BSE) and cathodoluminescence (CL) images as well as with changes in U + Th concentration and spectroscopic proxies for radiation damage. In other words, the whole grain PL provides a low-resolution preview of the U + Th zoning expected in a cross-sectioned grain. We demonstrate the usefulness of this “preview” in identifying and selecting the subset of zircon grains in a heavy mineral separate that has metamorphic rims of sufficient width to date by secondary ionization mass spectrometry (SIMS). The data are also used to place preliminary constraints on the age and U + Th concentrations at which a yellow PL response is observed in natural samples. The PL response of zircon is well-known among spectroscopists, and these simple applications demonstrate several ways in which the response might be more effectively used by geochronologists.
","language":"English","publisher":"MDPI","doi":"10.3390/min10100876","usgsCitation":"McAleer, R.J., Jubb, A., Hackley, P.C., Walsh, G.J., Merschat, A.J., Regan, S., Burton, W.C., and Vazquez, J.A., 2020, Photoluminescence imaging of whole zircon grains on a petrographic microscope—An underused aide for geochronologic studies: Minerals, v. 10, no. 10, 876, 17 p., https://doi.org/10.3390/min10100876.","productDescription":"876, 17 p.","ipdsId":"IP-106308","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":455170,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min10100876","text":"Publisher Index Page"},{"id":436771,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90HZLMS","text":"USGS data release","linkHelpText":"Photoluminescence Imaging of Whole Zircon Grains on a Petrographic Microscope - An Underused Aide for Geochronologic Studies"},{"id":378983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"10","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":800413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":800416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":800417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regan, Sean P.","contributorId":219815,"corporation":false,"usgs":false,"family":"Regan","given":"Sean P.","affiliations":[{"id":13599,"text":"University of Alaska - Fairbanks","active":true,"usgs":false}],"preferred":false,"id":800418,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":800419,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":true,"id":800420,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70214680,"text":"70214680 - 2020 - Assessing the exposure of three diving bird species to offshore wind areas on the U.S. Atlantic Outer Continental Shelf using satellite telemetry","interactions":[],"lastModifiedDate":"2020-11-13T16:02:25.940545","indexId":"70214680","displayToPublicDate":"2020-10-01T07:14:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the exposure of three diving bird species to offshore wind areas on the U.S. Atlantic Outer Continental Shelf using satellite telemetry","docAbstract":"

Aim

The United States Atlantic Outer Continental Shelf (OCS) has considerable offshore wind energy potential. Capturing that resource is part of a broader effort to reduce CO2 emissions. While few turbines have been constructed in U.S. waters, over a dozen currently planned offshore wind projects have the potential to displace marine birds, potentially leading to effective habitat loss. We focused on three diving birds identified in Europe to be vulnerable to displacement. Our research aimed to determine their potential exposure to areas designated or proposed for offshore wind development along the Atlantic OCS.

Methods

Satellite tracking technology was used to determine the spatial and temporal use and movement patterns of Surf Scoters (Melanitta perspicillata), Red‐throated Loons (Gavia stellata) and Northern Gannets (Morus bassanus), and calculate their exposure to each offshore wind area. We tagged 236 adults in 2012–2015 on the Atlantic OCS from New Jersey to North Carolina; an additional 147 birds tagged in previous tracking studies were integrated into our analyses. Tracking data were analysed in two‐week intervals using dynamic Brownian bridge movement models to develop composite spatial utilization distributions. For each species, these distributions were then used to calculate the spatio‐temporal exposure to each offshore wind area.

Results

Surf Scoters and Red‐throated Loons were exposed to offshore wind areas almost exclusively during migration because these species were distributed among coastal and inshore waters during winter months. In contrast, Northern Gannets ranged over a much larger area, reaching farther offshore and south in winter, thus exhibited the greatest exposure to extant offshore wind areas.

Conclusions

Results of this study provide better understanding of how diving birds use current and potential future offshore wind areas on the Atlantic OCS, and can inform permitting, risk assessment and pre‐ and post‐construction impact assessments of offshore energy infrastructure.

","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13168","usgsCitation":"Stenhouse, I.J., Berlin, A., Gilbert, A.T., Goodale, M., Gray, C.O., Montevecchi, W.A., Savoy, L., and Spiegel, C.S., 2020, Assessing the exposure of three diving bird species to offshore wind areas on the U.S. Atlantic Outer Continental Shelf using satellite telemetry: Diversity and Distributions, v. 26, no. 12, p. 1703-1714, https://doi.org/10.1111/ddi.13168.","productDescription":"12 p.","startPage":"1703","endPage":"1714","ipdsId":"IP-115177","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":455173,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13168","text":"Publisher Index Page"},{"id":378982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Outer Continental Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.84912109375,\n 34.90395296559004\n ],\n [\n -78.46435546874999,\n 33.815666308702774\n ],\n [\n -78.02490234374999,\n 33.43144133557529\n ],\n [\n -77.40966796874999,\n 32.99023555965106\n ],\n [\n -76.28906249999999,\n 32.76880048488168\n ],\n [\n -74.81689453125,\n 33.24787594792436\n ],\n [\n -73.41064453125001,\n 33.68778175843934\n ],\n [\n -71.96044921875001,\n 35.60371874069731\n ],\n [\n -70.97167968749999,\n 38.30718056188316\n ],\n [\n -70.048828125,\n 41.11246878918088\n ],\n [\n -71.03759765625,\n 41.60722821271717\n ],\n [\n -72.48779296874999,\n 41.52502957323799\n ],\n [\n -73.23486328124999,\n 40.896905775860006\n ],\n [\n -76.04736328125,\n 38.58252615935333\n ],\n [\n -76.552734375,\n 37.56199695314352\n ],\n [\n -76.83837890624999,\n 36.42128244364947\n ],\n [\n -77.84912109375,\n 34.90395296559004\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stenhouse, Iain J","contributorId":242039,"corporation":false,"usgs":false,"family":"Stenhouse","given":"Iain","email":"","middleInitial":"J","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":800421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berlin, Alicia 0000-0002-5275-3077 aberlin@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-3077","contributorId":168416,"corporation":false,"usgs":true,"family":"Berlin","given":"Alicia","email":"aberlin@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":800422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilbert, Andrew T","contributorId":242040,"corporation":false,"usgs":false,"family":"Gilbert","given":"Andrew","email":"","middleInitial":"T","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":800423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodale, M Wing","contributorId":242041,"corporation":false,"usgs":false,"family":"Goodale","given":"M Wing","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":800424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, Carrie O","contributorId":242042,"corporation":false,"usgs":false,"family":"Gray","given":"Carrie","email":"","middleInitial":"O","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":800425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Montevecchi, William A","contributorId":242043,"corporation":false,"usgs":false,"family":"Montevecchi","given":"William","email":"","middleInitial":"A","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":800426,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Savoy, Lucas","contributorId":171896,"corporation":false,"usgs":false,"family":"Savoy","given":"Lucas","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":800427,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spiegel, Caleb S.","contributorId":216938,"corporation":false,"usgs":false,"family":"Spiegel","given":"Caleb","email":"","middleInitial":"S.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":800428,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70228614,"text":"70228614 - 2020 - Coordinated river infrastructure decisions improve net social-ecological benefits","interactions":[],"lastModifiedDate":"2022-02-14T13:20:57.928338","indexId":"70228614","displayToPublicDate":"2020-10-01T07:13:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Coordinated river infrastructure decisions improve net social-ecological benefits","docAbstract":"

We explore the social, ecological, economic, and technical dimensions of sustainable river infrastructure development and the potential benefits of coordinating decisions such as dam removal and stream crossing improvement. Dam removal is common practice for restoring river habitat connectivity and ecosystem health. However, stream crossings such as culverts are often 15 times more abundant than dams and may pose similar ecological impacts. Using multi-objective optimization for a model system of 6100 dams and culverts in Maine, USA, we demonstrate substantial benefit-cost improvements provided by coordinating habitat connectivity decisions. Benefit-cost efficiency improves by two orders of magnitude when coordinating more decisions across wider areas, but this approach may cause inequitable resource distribution. Culvert upgrades improve roadway safety and habitat connectivity, creating cost-effective opportunities for coordinating and cost-sharing projects between conservationists and safety managers. Benefit-cost trends indicate significant overlaps in habitat and safety goals, encouraging flexible stakeholder collaborations and cost-sharing strategies.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/abad58","usgsCitation":"Roy, S., Daignault, A., Zydlewski, J.D., Truhlar, A., Smith, S., Jain, S., and Hart, D., 2020, Coordinated river infrastructure decisions improve net social-ecological benefits: Environmental Research Letters, v. 15, 104054, 11 p., https://doi.org/10.1088/1748-9326/abad58.","productDescription":"104054, 11 p.","ipdsId":"IP-117688","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":455176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/abad58","text":"Publisher Index Page"},{"id":395874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-70.152589,43.746794],[-70.158456,43.751616],[-70.147646,43.758585],[-70.145911,43.772119],[-70.128271,43.774009],[-70.14089,43.753204],[-70.152589,43.746794]]],[[[-70.135957,43.753219],[-70.129721,43.76408],[-70.117688,43.765693],[-70.135957,43.753219]]],[[[-70.171245,43.663498],[-70.205934,43.633633],[-70.211062,43.641842],[-70.200116,43.662978],[-70.188047,43.673762],[-70.171245,43.663498]]],[[[-70.186213,43.682655],[-70.210825,43.661695],[-70.213948,43.666161],[-70.201893,43.685483],[-70.191041,43.689071],[-70.186213,43.682655]]],[[[-70.163884,43.692404],[-70.146115,43.701635],[-70.135563,43.700658],[-70.154503,43.680933],[-70.168227,43.675136],[-70.173571,43.683734],[-70.163884,43.692404]]],[[[-70.087621,43.699913],[-70.093704,43.6918],[-70.099594,43.695366],[-70.115908,43.682978],[-70.118174,43.686375],[-70.093113,43.710524],[-70.097184,43.700929],[-70.087621,43.699913]]],[[[-70.119671,43.748621],[-70.097318,43.757292],[-70.094986,43.753211],[-70.107812,43.734555],[-70.108978,43.722312],[-70.129383,43.70832],[-70.138128,43.718231],[-70.138711,43.727559],[-70.119671,43.748621]]],[[[-68.499465,44.12419],[-68.491521,44.109833],[-68.502942,44.099722],[-68.51706,44.10341],[-68.518703,44.113222],[-68.511266,44.125082],[-68.499465,44.12419]]],[[[-68.358388,44.125082],[-68.346724,44.127749],[-68.331032,44.10758],[-68.338012,44.101473],[-68.365176,44.101464],[-68.375382,44.11646],[-68.358388,44.125082]]],[[[-68.453236,44.189998],[-68.416434,44.187047],[-68.384903,44.154955],[-68.396634,44.14069],[-68.438518,44.11618],[-68.448646,44.125581],[-68.447505,44.133493],[-68.456813,44.145268],[-68.496639,44.146855],[-68.502096,44.152388],[-68.500817,44.160026],[-68.474365,44.181875],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.623554,44.255622],[-68.605906,44.230772],[-68.612749,44.207722],[-68.624994,44.197637],[-68.618872,44.18107],[-68.643002,44.15766],[-68.670014,44.151537],[-68.675056,44.137131],[-68.681899,44.138212],[-68.692343,44.153698],[-68.713232,44.160541],[-68.720435,44.169185],[-68.714313,44.20376],[-68.722956,44.219607],[-68.718635,44.228611],[-68.700627,44.234013],[-68.680458,44.262105],[-68.680773,44.279242]]],[[[-68.355279,44.199096],[-68.333227,44.207308],[-68.314789,44.197157],[-68.321178,44.199032],[-68.332639,44.192131],[-68.339029,44.171839],[-68.347416,44.169459],[-68.378872,44.184222],[-68.364469,44.197534],[-68.355279,44.199096]]],[[[-68.472831,44.219767],[-68.453843,44.201683],[-68.459182,44.197681],[-68.48452,44.202886],[-68.482726,44.227058],[-68.470323,44.22832],[-68.472831,44.219767]]],[[[-68.792139,44.237819],[-68.769833,44.222787],[-68.769047,44.213351],[-68.780055,44.203129],[-68.829593,44.21689],[-68.839422,44.236547],[-68.827627,44.242838],[-68.792139,44.237819]]],[[[-68.23638,44.266254],[-68.214641,44.263156],[-68.211329,44.257074],[-68.24031,44.251622],[-68.240806,44.239723],[-68.248913,44.235443],[-68.274427,44.237099],[-68.274719,44.258675],[-68.246598,44.257836],[-68.23638,44.266254]]],[[[-68.498637,44.369686],[-68.478785,44.319563],[-68.489641,44.313705],[-68.530394,44.333583],[-68.518573,44.381022],[-68.501364,44.382281],[-68.498637,44.369686]]],[[[-68.618212,44.012367],[-68.635315,44.018886],[-68.657031,44.003823],[-68.659874,44.022758],[-68.650767,44.039908],[-68.661594,44.075837],[-68.627893,44.088128],[-68.6181,44.096706],[-68.609722,44.094674],[-68.584074,44.070578],[-68.590792,44.058662],[-68.601099,44.058362],[-68.610703,44.013422],[-68.618212,44.012367]]],[[[-68.785601,44.053503],[-68.818441,44.032046],[-68.874139,44.025359],[-68.889717,44.032516],[-68.899997,44.06696],[-68.913406,44.08519],[-68.908984,44.110001],[-68.944597,44.11284],[-68.917286,44.148239],[-68.847249,44.183017],[-68.825067,44.186338],[-68.819156,44.180462],[-68.82284,44.173693],[-68.818423,44.160978],[-68.782375,44.14531],[-68.792065,44.136759],[-68.818039,44.136852],[-68.820515,44.130198],[-68.815562,44.115836],[-68.806832,44.116339],[-68.790525,44.09292],[-68.772639,44.078439],[-68.77029,44.069566],[-68.785601,44.053503]]],[[[-67.619761,44.519754],[-67.582113,44.513459],[-67.590627,44.49415],[-67.562651,44.472104],[-67.571774,44.453403],[-67.588346,44.449754],[-67.604919,44.502056],[-67.619211,44.506009],[-67.619761,44.519754]]],[[[-68.942826,44.281073],[-68.919301,44.309872],[-68.919325,44.335392],[-68.90353,44.378613],[-68.87894,44.386584],[-68.868444,44.38144],[-68.860649,44.364425],[-68.87169,44.344662],[-68.89285,44.334653],[-68.896587,44.321986],[-68.88746,44.303094],[-68.904255,44.279889],[-68.916872,44.242866],[-68.95189,44.218719],[-68.94709,44.226792],[-68.955332,44.243873],[-68.965896,44.249754],[-68.965264,44.259332],[-68.942826,44.281073]]],[[[-70.353392,43.535405],[-70.379123,43.507202],[-70.385615,43.487031],[-70.380233,43.46423],[-70.349684,43.442032],[-70.370514,43.434133],[-70.384949,43.418839],[-70.39089,43.402607],[-70.421282,43.395777],[-70.427672,43.389254],[-70.424986,43.375928],[-70.460717,43.34325],[-70.517695,43.344037],[-70.553854,43.321886],[-70.593907,43.249295],[-70.576692,43.217651],[-70.618973,43.163625],[-70.638355,43.114182],[-70.655322,43.098008],[-70.665958,43.076234],[-70.703818,43.059825],[-70.708896,43.074989],[-70.737897,43.073488],[-70.756397,43.079988],[-70.766398,43.092688],[-70.779098,43.095887],[-70.8268,43.127086],[-70.8338,43.146886],[-70.823501,43.174585],[-70.828301,43.186685],[-70.819146,43.195157],[-70.811852,43.228306],[-70.817773,43.237408],[-70.837274,43.242321],[-70.843302,43.254321],[-70.858207,43.256286],[-70.861384,43.263143],[-70.881704,43.272483],[-70.886504,43.282783],[-70.906005,43.291682],[-70.900386,43.301358],[-70.91246,43.308289],[-70.912004,43.319821],[-70.93711,43.337367],[-70.956528,43.334691],[-70.967229,43.343777],[-70.985965,43.380023],[-70.98739,43.393457],[-70.982565,43.39778],[-70.987249,43.411863],[-70.96115,43.438321],[-70.9669,43.450458],[-70.961428,43.469696],[-70.974245,43.47742],[-70.967968,43.480783],[-70.954755,43.509802],[-70.954066,43.52261],[-70.963281,43.538929],[-70.950838,43.551026],[-70.972716,43.570255],[-70.989037,43.792154],[-71.031039,44.655455],[-71.084334,45.305293],[-71.059265,45.313753],[-71.030565,45.312652],[-71.00905,45.319022],[-71.002563,45.327819],[-71.011144,45.334679],[-71.01081,45.34725],[-70.985595,45.332188],[-70.950824,45.33453],[-70.939188,45.320177],[-70.917904,45.311924],[-70.912111,45.296197],[-70.9217,45.279445],[-70.898565,45.258502],[-70.898482,45.244088],[-70.885029,45.234873],[-70.857042,45.22916],[-70.83877,45.237555],[-70.848319,45.244707],[-70.848554,45.263325],[-70.839042,45.269132],[-70.829661,45.290369],[-70.812338,45.302006],[-70.808613,45.311606],[-70.808322,45.325824],[-70.816585,45.330554],[-70.819828,45.340109],[-70.81445,45.356544],[-70.803848,45.364247],[-70.806244,45.376558],[-70.826033,45.398408],[-70.795009,45.428145],[-70.755567,45.428361],[-70.744077,45.421091],[-70.743775,45.411925],[-70.729972,45.399359],[-70.712286,45.390611],[-70.677995,45.394362],[-70.66116,45.386039],[-70.660775,45.378176],[-70.651175,45.377123],[-70.634661,45.383608],[-70.631354,45.41634],[-70.635498,45.427817],[-70.649739,45.442771],[-70.674903,45.452399],[-70.691762,45.471233],[-70.717047,45.487732],[-70.721611,45.515058],[-70.687605,45.549099],[-70.688214,45.563981],[-70.659286,45.58688],[-70.644687,45.607083],[-70.592252,45.629865],[-70.5584,45.666671],[-70.525831,45.666551],[-70.469869,45.701639],[-70.438878,45.704387],[-70.400404,45.719834],[-70.383552,45.734869],[-70.388501,45.749717],[-70.406548,45.761813],[-70.417641,45.79377],[-70.395907,45.798885],[-70.39662,45.808486],[-70.387916,45.819043],[-70.34244,45.852192],[-70.306162,45.85974],[-70.259117,45.890755],[-70.253897,45.906524],[-70.263313,45.923832],[-70.240177,45.943729],[-70.26541,45.962692],[-70.31628,45.963113],[-70.307463,45.982541],[-70.284571,45.995384],[-70.303034,45.998976],[-70.317629,46.01908],[-70.278334,46.057019],[-70.284176,46.062758],[-70.310609,46.064544],[-70.284554,46.098713],[-70.254021,46.0996],[-70.255038,46.108348],[-70.237947,46.147378],[-70.278034,46.175001],[-70.292736,46.191599],[-70.272054,46.209833],[-70.248421,46.267072],[-70.232682,46.284428],[-70.205719,46.299865],[-70.203119,46.31438],[-70.208733,46.328961],[-70.191412,46.348072],[-70.174709,46.358472],[-70.148529,46.358923],[-70.129734,46.369384],[-70.125459,46.381352],[-70.11044,46.38611],[-70.096286,46.40943],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.203886,47.452203],[-69.178412,47.456615],[-69.146439,47.44886],[-69.082508,47.423976],[-69.061192,47.433052],[-69.043947,47.427634],[-69.036882,47.407977],[-69.045403,47.39191],[-69.039818,47.386309],[-69.053885,47.377878],[-69.054628,47.315911],[-69.049118,47.306471],[-69.052748,47.294403],[-69.047076,47.267089],[-69.050334,47.256621],[-69.033456,47.240984],[-68.966433,47.212712],[-68.96113,47.205582],[-68.942484,47.206386],[-68.920253,47.195048],[-68.919752,47.189859],[-68.902425,47.178839],[-68.857519,47.19095],[-68.812157,47.215461],[-68.764487,47.222331],[-68.717867,47.240919],[-68.705314,47.238066],[-68.687662,47.244215],[-68.664071,47.236762],[-68.619749,47.243218],[-68.595427,47.257698],[-68.59688,47.271731],[-68.578551,47.287551],[-68.553896,47.28225],[-68.517982,47.296092],[-68.474851,47.297534],[-68.448844,47.282547],[-68.378678,47.287561],[-68.376319,47.294257],[-68.384706,47.305094],[-68.380334,47.340242],[-68.355171,47.35707],[-68.329879,47.36023],[-68.303778,47.355524],[-68.284101,47.360389],[-68.265138,47.352543],[-68.234604,47.355035],[-68.214551,47.339637],[-68.15515,47.32542],[-68.152302,47.309878],[-68.137059,47.296068],[-68.082896,47.271921],[-68.074061,47.259764],[-68.019724,47.238036],[-67.991871,47.212042],[-67.955669,47.199542],[-67.935868,47.164843],[-67.893266,47.129943],[-67.881302,47.103913],[-67.790515,47.067921],[-67.781095,45.943032],[-67.777626,45.934207],[-67.750422,45.917898],[-67.763725,45.91043],[-67.767827,45.898568],[-67.803318,45.883718],[-67.803678,45.869379],[-67.796514,45.859961],[-67.755068,45.82367],[-67.780507,45.817622],[-67.801989,45.803546],[-67.806598,45.794723],[-67.806308,45.755405],[-67.793083,45.750559],[-67.781892,45.731189],[-67.809833,45.729274],[-67.803148,45.696127],[-67.817892,45.693705],[-67.803313,45.677886],[-67.768648,45.677581],[-67.754245,45.667791],[-67.720401,45.662522],[-67.71799,45.665243],[-67.73372,45.684233],[-67.734605,45.688987],[-67.729908,45.689012],[-67.710464,45.679372],[-67.675417,45.630959],[-67.64581,45.613597],[-67.640238,45.616178],[-67.644206,45.62322],[-67.639741,45.624771],[-67.606172,45.606533],[-67.499444,45.587014],[-67.488452,45.594643],[-67.491061,45.598917],[-67.455406,45.604665],[-67.429716,45.583773],[-67.420976,45.550029],[-67.425399,45.540795],[-67.432236,45.541023],[-67.435275,45.530781],[-67.432207,45.519996],[-67.416416,45.503515],[-67.462882,45.508691],[-67.470732,45.500067],[-67.503088,45.489688],[-67.499767,45.47805],[-67.482353,45.460825],[-67.484328,45.451955],[-67.473366,45.425328],[-67.430001,45.392965],[-67.418747,45.37726],[-67.434281,45.365438],[-67.427797,45.355471],[-67.434996,45.340133],[-67.456288,45.32644],[-67.452267,45.316839],[-67.460554,45.300379],[-67.466091,45.29416],[-67.485683,45.291433],[-67.489464,45.282653],[-67.46357,45.244097],[-67.453473,45.241127],[-67.43998,45.227047],[-67.428889,45.193213],[-67.407139,45.179425],[-67.404629,45.159926],[-67.383635,45.152259],[-67.345585,45.126392],[-67.294881,45.149666],[-67.302568,45.161348],[-67.291417,45.17145],[-67.290603,45.187589],[-67.283619,45.192022],[-67.246697,45.180765],[-67.242293,45.17224],[-67.227324,45.163652],[-67.203933,45.171407],[-67.157919,45.161004],[-67.112414,45.112323],[-67.090786,45.068721],[-67.105899,45.065786],[-67.117688,45.05673],[-67.082074,45.029608],[-67.068274,45.001014],[-67.05461,44.986764],[-67.033474,44.939923],[-66.984466,44.912557],[-66.990351,44.882551],[-66.978142,44.856963],[-66.996523,44.844654],[-66.986318,44.820657],[-66.975009,44.815495],[-66.952112,44.82007],[-66.950569,44.814539],[-66.961068,44.807269],[-66.979708,44.80736],[-67.02615,44.768199],[-67.04335,44.765071],[-67.05516,44.771442],[-67.062239,44.769543],[-67.073439,44.741957],[-67.098931,44.741311],[-67.103957,44.717444],[-67.128792,44.695421],[-67.139209,44.693849],[-67.155119,44.66944],[-67.169857,44.662105],[-67.186612,44.66265],[-67.192068,44.655515],[-67.189427,44.645533],[-67.234275,44.637201],[-67.251247,44.640825],[-67.274122,44.626345],[-67.27706,44.61795],[-67.273076,44.610873],[-67.293403,44.599265],[-67.314938,44.598215],[-67.32297,44.609394],[-67.310745,44.613212],[-67.293665,44.634316],[-67.292462,44.648455],[-67.309627,44.659316],[-67.307909,44.691295],[-67.300144,44.696752],[-67.299176,44.705705],[-67.308538,44.707454],[-67.355966,44.69906],[-67.376742,44.681852],[-67.381149,44.66947],[-67.367298,44.652472],[-67.363158,44.631825],[-67.377554,44.619757],[-67.386605,44.626974],[-67.405492,44.594236],[-67.428367,44.609136],[-67.457747,44.598014],[-67.492373,44.61795],[-67.493632,44.628863],[-67.505804,44.636837],[-67.522802,44.63306],[-67.530777,44.621938],[-67.543368,44.626554],[-67.551133,44.621938],[-67.575056,44.560659],[-67.562321,44.539435],[-67.568159,44.531117],[-67.648506,44.525403],[-67.660678,44.537575],[-67.685861,44.537155],[-67.702649,44.527922],[-67.698872,44.51575],[-67.71419,44.495238],[-67.733986,44.496252],[-67.743353,44.497418],[-67.742942,44.526453],[-67.753854,44.543661],[-67.774001,44.547438],[-67.779457,44.543661],[-67.781556,44.520577],[-67.79726,44.520685],[-67.808837,44.544081],[-67.839896,44.558771],[-67.845772,44.551636],[-67.843254,44.542822],[-67.856684,44.523934],[-67.851648,44.484901],[-67.868774,44.465272],[-67.868875,44.456881],[-67.851764,44.428695],[-67.855108,44.419434],[-67.868856,44.424672],[-67.878509,44.435585],[-67.887323,44.433066],[-67.899571,44.394078],[-67.913346,44.430128],[-67.926357,44.431807],[-67.931453,44.411848],[-67.955737,44.416278],[-67.961613,44.4125],[-67.961613,44.39907],[-67.978876,44.387034],[-67.985668,44.386917],[-68.000646,44.406624],[-68.010719,44.407464],[-68.019533,44.396971],[-68.01399,44.390255],[-68.034223,44.360456],[-68.044296,44.357938],[-68.043037,44.343667],[-68.049334,44.33073],[-68.067047,44.335692],[-68.076066,44.347925],[-68.077873,44.373047],[-68.086268,44.376405],[-68.092983,44.370949],[-68.11229,44.401588],[-68.119845,44.445658],[-68.117746,44.475038],[-68.150904,44.482383],[-68.17105,44.470211],[-68.194554,44.47189],[-68.189517,44.478605],[-68.192036,44.487419],[-68.213861,44.492456],[-68.223934,44.487],[-68.224354,44.464335],[-68.22939,44.463496],[-68.2445,44.471051],[-68.252474,44.483222],[-68.261708,44.484062],[-68.270522,44.459718],[-68.281015,44.451324],[-68.298223,44.449225],[-68.299063,44.437893],[-68.294865,44.432857],[-68.268423,44.440411],[-68.247438,44.433276],[-68.24366,44.420685],[-68.249956,44.414809],[-68.21554,44.390466],[-68.20354,44.392365],[-68.184532,44.369145],[-68.173608,44.328397],[-68.191924,44.306675],[-68.233435,44.288578],[-68.275139,44.288895],[-68.289409,44.283858],[-68.298223,44.276303],[-68.298643,44.26665],[-68.290818,44.247673],[-68.317588,44.225101],[-68.339498,44.222893],[-68.343132,44.229505],[-68.377982,44.247563],[-68.401268,44.252244],[-68.430946,44.298624],[-68.430853,44.312609],[-68.409027,44.32562],[-68.421619,44.336113],[-68.409867,44.356259],[-68.396552,44.363941],[-68.398035,44.376191],[-68.3581,44.392337],[-68.359082,44.402847],[-68.3791,44.430049],[-68.387678,44.430936],[-68.392559,44.41807],[-68.416412,44.397973],[-68.427874,44.3968],[-68.433901,44.401534],[-68.429648,44.439136],[-68.439281,44.448043],[-68.455095,44.447498],[-68.46382,44.436592],[-68.458849,44.412141],[-68.464106,44.398078],[-68.461072,44.378504],[-68.466109,44.377245],[-68.47828,44.378084],[-68.483317,44.388157],[-68.472824,44.404106],[-68.480379,44.432647],[-68.485415,44.434326],[-68.494649,44.429709],[-68.499686,44.414179],[-68.51452,44.41334],[-68.529905,44.39907],[-68.555088,44.403687],[-68.565161,44.39907],[-68.564741,44.385219],[-68.559285,44.374307],[-68.550051,44.371788],[-68.545434,44.355],[-68.563209,44.333039],[-68.566203,44.313007],[-68.556236,44.300819],[-68.538595,44.299902],[-68.531532,44.290388],[-68.528611,44.276117],[-68.519516,44.265046],[-68.529802,44.249594],[-68.525302,44.227554],[-68.550802,44.236534],[-68.603385,44.27471],[-68.682979,44.299201],[-68.733004,44.328388],[-68.762021,44.329597],[-68.795063,44.30786],[-68.827197,44.31216],[-68.825419,44.334547],[-68.814811,44.362194],[-68.821767,44.40894],[-68.815325,44.42808],[-68.801634,44.434803],[-68.783679,44.473879],[-68.829153,44.462242],[-68.880271,44.428112],[-68.897104,44.450643],[-68.927452,44.448039],[-68.931934,44.43869],[-68.946582,44.429108],[-68.982449,44.426195],[-68.990767,44.415033],[-68.978815,44.38634],[-68.961111,44.375076],[-68.948164,44.355882],[-68.954465,44.32405],[-68.979005,44.296327],[-69.003682,44.294582],[-69.005071,44.274071],[-69.040193,44.233673],[-69.054546,44.171542],[-69.079835,44.160953],[-69.075667,44.129991],[-69.080331,44.117824],[-69.100863,44.104529],[-69.101107,44.093601],[-69.092,44.085734],[-69.050814,44.094888],[-69.031878,44.079036],[-69.048917,44.062506],[-69.056093,44.06949],[-69.067876,44.067596],[-69.079805,44.055256],[-69.073767,44.046135],[-69.125738,44.019623],[-69.124475,44.007419],[-69.170345,43.995637],[-69.193805,43.975543],[-69.19633,43.950504],[-69.203668,43.941806],[-69.259838,43.921427],[-69.267515,43.943667],[-69.280498,43.95744],[-69.31427,43.942951],[-69.319751,43.94487],[-69.304301,43.962068],[-69.331411,43.974311],[-69.351961,43.974748],[-69.366702,43.964755],[-69.388059,43.96434],[-69.398455,43.971804],[-69.421072,43.938261],[-69.423324,43.915507],[-69.459637,43.903316],[-69.483498,43.88028],[-69.50329,43.837673],[-69.514889,43.831298],[-69.513267,43.84479],[-69.520301,43.868498],[-69.524673,43.875639],[-69.543912,43.881615],[-69.54945,43.880012],[-69.545028,43.861241],[-69.552606,43.841347],[-69.572697,43.844012],[-69.578527,43.823316],[-69.588551,43.81836],[-69.604179,43.813551],[-69.604616,43.825793],[-69.592373,43.830895],[-69.589167,43.851299],[-69.594705,43.858878],[-69.604616,43.858004],[-69.621086,43.826814],[-69.634932,43.845907],[-69.649798,43.836287],[-69.653337,43.79103],[-69.664922,43.791033],[-69.685579,43.820546],[-69.705838,43.823024],[-69.714873,43.810264],[-69.719723,43.786685],[-69.752801,43.75594],[-69.780097,43.755397],[-69.778494,43.747089],[-69.835323,43.721125],[-69.838689,43.70514],[-69.851297,43.703581],[-69.855081,43.704746],[-69.858947,43.740531],[-69.868673,43.742701],[-69.862155,43.758962],[-69.869732,43.775656],[-69.884066,43.778035],[-69.903164,43.77239],[-69.927011,43.780174],[-69.948539,43.765948],[-69.958056,43.767786],[-69.982574,43.750801],[-69.992615,43.724793],[-70.001645,43.717666],[-70.006954,43.717065],[-69.998793,43.740385],[-70.001708,43.744466],[-70.041351,43.738053],[-70.034355,43.759041],[-69.99821,43.798684],[-70.002874,43.812093],[-70.011035,43.810927],[-70.026193,43.822587],[-70.023278,43.834247],[-70.002874,43.848239],[-70.009869,43.859315],[-70.019197,43.858733],[-70.064671,43.813259],[-70.06642,43.819672],[-70.080995,43.819672],[-70.107229,43.809178],[-70.142792,43.791688],[-70.153869,43.781194],[-70.153869,43.774781],[-70.176023,43.76079],[-70.17544,43.777113],[-70.190014,43.771866],[-70.197593,43.753211],[-70.194678,43.742134],[-70.217998,43.71998],[-70.216832,43.704822],[-70.23199,43.704822],[-70.251812,43.683251],[-70.254144,43.676839],[-70.242289,43.669544],[-70.240987,43.659132],[-70.211204,43.625765],[-70.217087,43.596717],[-70.214369,43.590445],[-70.20112,43.586515],[-70.196911,43.565146],[-70.206123,43.557627],[-70.231963,43.561118],[-70.244331,43.551849],[-70.261917,43.553687],[-70.272497,43.562616],[-70.307764,43.544315],[-70.353392,43.535405]]]]},\"properties\":{\"name\":\"Maine\",\"nation\":\"USA \"}}]}","volume":"15","noUsgsAuthors":false,"publicationDate":"2020-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Roy, Samuel G.","contributorId":276396,"corporation":false,"usgs":false,"family":"Roy","given":"Samuel G.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daignault, Adam","contributorId":276397,"corporation":false,"usgs":false,"family":"Daignault","given":"Adam","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":834806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Truhlar, Allison","contributorId":276399,"corporation":false,"usgs":false,"family":"Truhlar","given":"Allison","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":834809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Sean","contributorId":276400,"corporation":false,"usgs":false,"family":"Smith","given":"Sean","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jain, Shaleen","contributorId":276402,"corporation":false,"usgs":false,"family":"Jain","given":"Shaleen","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834811,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, David","contributorId":276404,"corporation":false,"usgs":false,"family":"Hart","given":"David","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834812,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70260213,"text":"70260213 - 2020 - Two ensemble approaches for forecasting sulfur dioxide concentrations from Kīlauea volcano","interactions":[],"lastModifiedDate":"2024-10-30T11:58:35.950719","indexId":"70260213","displayToPublicDate":"2020-10-01T06:55:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3735,"text":"Weather and Forecasting","active":true,"publicationSubtype":{"id":10}},"title":"Two ensemble approaches for forecasting sulfur dioxide concentrations from Kīlauea volcano","docAbstract":"

Kīlauea volcano, located on the island of Hawaii, is one of the most active volcanoes in the world. It was in a state of nearly continuous eruption from 1983 to 2018 with copious emissions of sulfur dioxide (SO2) that affected public health, agriculture, and infrastructure over large portions of the island. Since 2010, the University of Hawaiʻi at Mānoa provides publicly available vog forecasts that began in 2010 to aid in the mitigation of volcanic smog (or “vog”) as a hazard. In September 2017, the forecast system began to produce operational ensemble forecasts. The months that preceded Kīlauea’s historic lower east rift zone eruption of 2018 provide an opportunity to evaluate the newly implemented air quality ensemble prediction system and compare it another approach to the generation of ensemble members. One of the two approaches generates perturbations in the wind field while the other perturbs the sulfur dioxide (SO2) emission rate from the volcano. This comparison has implications for the limits of forecast predictability under the particularly dynamic conditions at Kīlauea volcano. We show that for ensemble forecasts of SO2 generated under these conditions, the uncertainty associated with the SO2 emission rate approaches that of the uncertainty in the wind field. However, the inclusion of a fluctuating SO2 emission rate has the potential to improve the prediction of the changes in air quality downwind of the volcano with suitable postprocessing.

","language":"English","publisher":"American Meteorological Society","doi":"10.1175/WAF-D-19-0189.1","usgsCitation":"Holland, L., Businger, S., Elias, T., and Cherubini, T., 2020, Two ensemble approaches for forecasting sulfur dioxide concentrations from Kīlauea volcano: Weather and Forecasting, v. 35, no. 5, p. 1923-1937, https://doi.org/10.1175/WAF-D-19-0189.1.","productDescription":"15 p.","startPage":"1923","endPage":"1937","ipdsId":"IP-112118","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":486887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/waf-d-19-0189.1","text":"Publisher Index Page"},{"id":463414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.5280575771671,\n 19.636187244535606\n ],\n [\n -155.5280575771671,\n 19.167002726002252\n ],\n [\n -154.9496591158342,\n 19.167002726002252\n ],\n [\n -154.9496591158342,\n 19.636187244535606\n ],\n [\n -155.5280575771671,\n 19.636187244535606\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"35","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Holland, Lacey","contributorId":147879,"corporation":false,"usgs":false,"family":"Holland","given":"Lacey","email":"","affiliations":[{"id":16953,"text":"University of Utah, Atmospheric Sciences","active":true,"usgs":false}],"preferred":false,"id":917425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Businger, Steven","contributorId":345757,"corporation":false,"usgs":false,"family":"Businger","given":"Steven","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":917426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherubini, Tiziana","contributorId":199762,"corporation":false,"usgs":false,"family":"Cherubini","given":"Tiziana","email":"","affiliations":[],"preferred":false,"id":917428,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70214614,"text":"ofr20201103 - 2020 - Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019","interactions":[{"subject":{"id":70195366,"text":"ofr20181008 - 2018 - Annotated bibliography of scientific research on greater sage-grouse published since January 2015","indexId":"ofr20181008","publicationYear":"2018","noYear":false,"title":"Annotated bibliography of scientific research on greater sage-grouse published since January 2015"},"predicate":"SUPERSEDED_BY","object":{"id":70214614,"text":"ofr20201103 - 2020 - Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019","indexId":"ofr20201103","publicationYear":"2020","noYear":false,"title":"Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019"},"id":1}],"lastModifiedDate":"2020-10-01T17:06:53.237674","indexId":"ofr20201103","displayToPublicDate":"2020-09-30T17:33:34","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1103","displayTitle":"Annotated Bibliography of Scientific Research on Greater Sage-Grouse Published from 2015 to 2019","title":"Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019","docAbstract":"

The greater sage-grouse (Centrocercus urophasianus; hereafter GRSG) has been a focus of scientific investigation and management action for the past two decades. The 2015 U.S. Fish and Wildlife Service listing determination of “not warranted” was in part due to a large-scale collaborative effort to develop strategies to conserve GRSG populations and their habitat and to reduce threats to both. New scientific information augments existing knowledge and can help inform updates or modifications to existing plans for managing GRSG and sagebrush ecosystems. However, the sheer number of scientific publications can be a challenge for managers tasked with evaluating and determining the need for potential updates to existing planning documents. To assist in this process, the U.S. Geological Survey (USGS) has reviewed and summarized the scientific literature published since January 1, 2015. The first GRSG literature summary was published early in 2018. Here we provide an update to that document by adding summaries of articles published between January 6, 2018 and October 2, 2019.

To identify articles and reports published about GRSG, we first conducted a structured search of three reference databases (Web of Science, Scopus, and Google Scholar) using the search term “greater sage-grouse.” We refined the initial list of products by (1) removing duplicates, (2) excluding products that were not published as research or scientific review articles in peer-reviewed journals or as formal technical reports, and (3) retaining only those products for which GRSG or their habitat was a research focus.

We summarized the contents of each product by using a consistent structure (background, objectives, methods, location, findings, and implications) and assessed the content of each product relevant to a list of 31 management topics. These topics include GRSG biology and habitat characteristics along with potential management actions, land uses, and environmental factors related to GRSG management and conservation. We also noted which articles/reports created new geospatial data.

Our original search, conducted on January 7, 2018, and the application of our criteria, resulted in the inclusion of 169 published products (2 of these products were published corrections to journal articles). This update adds summaries of 69 products published between then and October 2, 2019. The management topics most commonly addressed were GRSG behavior or demographics and GRSG habitat selection or habitat characteristics at broad or site scales. Few products addressed captive breeding, recreation, wild horses and burros, and range management structures (including fences). The management topics with the largest increase in representation between the 2018 GRSG literature summary and this update were GRSG survival and GRSG population estimates or targets, which were each addressed in 16 percent of products in the original literature summary document, but were addressed in 30 and 33 percent, respectively, of newly summarized products. Topics with the largest declines in representation were conifer expansion, - 17 to 10 percent, and new geospatial data, -31 to 21 percent. We include in this annotated bibliography the full citation, Digital Object Identifier (DOI), product summary, and management topics addressed by each product. The online version of this bibliography (https://apps.usgs.gov/gsgbib/index.php) is searchable by topic and location and includes links to journal landing pages for each original publication.

A substantial body of literature has been compiled on research explicitly related to the conservation, management, monitoring, and assessment of GRSG. These studies may inform planning and management actions that seek to balance conservation, economic, and social objectives and manage diverse resource uses and values across the western United States.

The review process for this product included requesting input on each summary from one or more authors of the original peer-reviewed article or report and a formal review of the entire document by three independent reviewers for the original document and by two independent reviewers for the updated document and, subsequently, the USGS Bureau Approving Official. This process is consistent with USGS Fundamental Science Practices.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201103","usgsCitation":"Carter, S.K., Arkle, R.S., Bencin, H.L., Harms, B.R., Manier, D.J., Johnston, A.N., Phillips, S.L., Hanser, S.E., and Bowen, Z.H., 2020, Annotated bibliography of scientific research on greater sage-grouse published from 2015 to 2019: U.S. Geological Survey Open-File Report 2020–1103, 264 p., https://doi.org/10.3133/ofr20201103.","productDescription":"v, 264 p.","onlineOnly":"Y","ipdsId":"IP-117994","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":378931,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://apps.usgs.gov/gsgbib/index.php","text":"Interactive, searchable version —","description":"Related Work - Interactive, searchable version","linkHelpText":"Annotated Bibliography of Scientific Research on Greater Sage-Grouse Published since January 2015"},{"id":378930,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1103/ofr20201103.pdf","text":"Report","size":"3.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1103"},{"id":378929,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1103/coverthb.jpg"},{"id":378932,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181017","text":"Open-File Report 2018-1017 —","description":"Related Work - OFR 2018-1017","linkHelpText":"Greater Sage-Grouse Science (2015–17)—Synthesis and Potential Management Implications"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Kansas, Montana, Nebraska, New Mexico, North Dakota, Oklahoma, Oregon, South Dakota, Texas, Utah, Washington, Wyoming","otherGeospatial":"Greater sage-grouse Management Zones","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.71679687499999,\n 32.54681317351514\n ],\n [\n -101.337890625,\n 34.95799531086792\n ],\n [\n -101.07421875,\n 52.482780222078226\n ],\n [\n -126.12304687500001,\n 50.233151832472245\n ],\n [\n -124.71679687499999,\n 32.54681317351514\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Building C
Fort Collins, CO 80526-8118

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-09-30","noUsgsAuthors":false,"publicationDate":"2020-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arkle, Robert S. 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":3501,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert S.","email":"rarkle@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":800232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bencin, Heidi L. 0000-0002-0879-5392","orcid":"https://orcid.org/0000-0002-0879-5392","contributorId":222412,"corporation":false,"usgs":true,"family":"Bencin","given":"Heidi","email":"","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harms, Benjamin R. 0000-0001-7570-6962","orcid":"https://orcid.org/0000-0001-7570-6962","contributorId":222413,"corporation":false,"usgs":true,"family":"Harms","given":"Benjamin","email":"","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manier, Daniel J. 0000-0002-1105-1327 manierd@usgs.gov","orcid":"https://orcid.org/0000-0002-1105-1327","contributorId":4589,"corporation":false,"usgs":true,"family":"Manier","given":"Daniel","email":"manierd@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":800235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnston, Aaron N. 0000-0003-4659-0504 ajohnston@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-0504","contributorId":241957,"corporation":false,"usgs":false,"family":"Johnston","given":"Aaron N.","email":"ajohnston@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":800236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Susan L. 0000-0002-5891-8485 sue_phillips@usgs.gov","orcid":"https://orcid.org/0000-0002-5891-8485","contributorId":717,"corporation":false,"usgs":true,"family":"Phillips","given":"Susan","email":"sue_phillips@usgs.gov","middleInitial":"L.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":800237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanser, Steven E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":3020,"corporation":false,"usgs":true,"family":"Hanser","given":"Steven E.","email":"shanser@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":800238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800239,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70214613,"text":"tm6C2 - 2020 - Integrating climate change considerations into natural resource planning—An implementation guide","interactions":[],"lastModifiedDate":"2020-10-01T16:57:08.391349","indexId":"tm6C2","displayToPublicDate":"2020-09-30T17:00:20","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-C2","displayTitle":"Integrating Climate Change Considerations into Natural Resource Planning—An Implementation Guide","title":"Integrating climate change considerations into natural resource planning—An implementation guide","docAbstract":"

Executive Summary

Climate change vulnerability assessments and associated adaptation strategies and actions connect existing climate science with possible effects on natural resources and highlight potential responses. However, these assessments, which are commonly generated for large regional areas, suggest management options in general terms without guidance for choosing among strategies and actions under specific circumstances. Meanwhile, land and resource management plans1 often address smaller geographies, and management actions must address specific rather than general situations. Thus, there is a need for tools that enable managers to bridge the gap by downscaling assessments, plans, and data generated at regional scales to identify adaptation actions and strategies appropriate for smaller management units and project-level planning.

To address this need, we have developed a tool–the Climate Adaptation Integration Tool (CAIT)–that helps resource managers use climate science and assessments, along with local knowledge, to identify those adaptation strategies and actions most appropriate for a given site or situation. Specifically, we provide:

    1. Guidance for acquiring and using downscaled climate change projections;
    2. Procedures for using these data to answer Critical Questions to make site-specific determinations of the appropriate management approach (specifically, resistance, resilience, transition, realignment, or no action);
    3. Lists of potential adaptation strategies and actions appropriate to the chosen management approach; and
    4. Supplemental information regarding adaptation strategies and actions to help managers choose among them.

    The CAIT is meant to help managers integrate climate change science and assessments into management decisions. The CAIT also serves as a way for managers to document how they have incorporated climate change information into their decision-making and why certain actions were selected over others. A particular strength of the CAIT is that it leads to potential solutions (that is, adaptation strategies and actions) without inflexibly prescribing actions. This flexibility enables managers to incorporate other factors and constraints to create workable management plans and projects that strengthen their ability to achieve long-term conservation goals.

    ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6C2","usgsCitation":"Kershner, J., Woodward, A., and Torregrosa, A., 2020, Integrating climate change considerations into natural resource planning—An implementation guide: U.S. Geological Survey Techniques and Methods, book 6, chap. C2, 58 p., https://doi.org/10.3133/tm6C2.","productDescription":"v, 58 p.","onlineOnly":"Y","ipdsId":"IP-106677","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":378927,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/6c2/coverthb.jpg"},{"id":378928,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/6c2/tm6c2.pdf","text":"Report","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-C2"}],"contact":"

    Forest and Rangeland Ecosystem Science Center
    U.S. Geological Survey
    777 NW 9th St., Suite 400
    Covallis, Oregon 97330

    ","tableOfContents":"","publishedDate":"2020-09-30","noUsgsAuthors":false,"publicationDate":"2020-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Kershner, Jessi","contributorId":156364,"corporation":false,"usgs":false,"family":"Kershner","given":"Jessi","email":"","affiliations":[{"id":20326,"text":"EcoAdapt","active":true,"usgs":false}],"preferred":false,"id":800228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":800229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":800230,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70214569,"text":"sir20205096 - 2020 - Trends in concentration, loads, and sources of trace metals and nutrients in the Spokane River Watershed, northern Idaho, water years 1990–2018","interactions":[],"lastModifiedDate":"2020-10-01T16:51:47.8491","indexId":"sir20205096","displayToPublicDate":"2020-09-30T12:48:23","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5096","displayTitle":"Trends in Concentrations, Loads, and Sources of Trace Metals and Nutrients in the Spokane River Watershed, Northern Idaho, Water Years 1990–2018","title":"Trends in concentration, loads, and sources of trace metals and nutrients in the Spokane River Watershed, northern Idaho, water years 1990–2018","docAbstract":"

    A long history of mining and widespread metals contamination in the Coeur d’Alene River watershed and downstream into the Spokane River has led to the area’s designation as a Superfund site and to extensive, ongoing (as of 2020) remedial actions. Long-term water-quality and streamflow data, collected by the U.S. Geological Survey for up to 29 years at 20 sampling sites in the Coeur d’Alene, Spokane and St. Joe River watersheds, were analyzed to evaluate the impact of remedial actions on metals in surface water. Analyses focused on total and dissolved cadmium, zinc and lead. Trends in total phosphorus, total nitrogen and dissolved orthophosphate were also evaluated; although these nutrients are not constituents of concern for the Superfund site, they are important to the health of Coeur d’Alene Lake.

    Dissolved cadmium, zinc and lead concentrations were compared to ambient water-quality criteria at 20 sample sites. For the 12 sites with the most extensive data records, Weighted Regressions on Time, Discharge and Season (WRTDS) models were developed to estimate flow-normalized annual mean concentrations and flow-normalized annual total loads; these results were used to evaluate trends because flow-normalization dampens the impact of interannual streamflow variability on concentrations and loads. WRTDS models with Kalman filtering (WRTDS_K) were developed to estimate annual mean concentrations and annual total loads; these results were used to evaluate spatial patterns in constituent sources. Models were developed for total and dissolved cadmium, lead, and zinc; total phosphorus and nitrogen; and dissolved orthophosphate, although not all constituents were modeled for all sites due to limited sample sizes. Bootstrapped confidence intervals were constructed to determine the statistical likelihood of trends and the slope of trends in flow-normalized concentrations and loads during the period of record (13–29 years, depending on the site), water years 1999–2009, and water years 2009–18.

    ","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205096","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Zinsser, L.M., 2020, Trends in concentration, loads, and sources of trace metals and nutrients in the Spokane River Watershed, northern Idaho, water years 1990-2018: U.S. Geological Survey Scientific Investigations Report 2020–5096, 58 p., https://doi.org/10.3133/sir20205096.","productDescription":"Report: vii, 58 p.; Appendix 1-2; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-116912","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":378922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5096/coverthb.jpg"},{"id":378923,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5096/sir20205096.pdf","text":"Report","size":"3.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5096"},{"id":378924,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5096/sir20205096_appendix1.pdf","text":"Appendix 1","size":"6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5096 Appendix 1"},{"id":378925,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5096/sir20205096_appendix2.pdf","text":"Appendix 2","size":"35.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5096 Appendix 2"},{"id":378926,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91LNE8J","text":"USGS data release","description":"USGS Data Release","linkHelpText":"WRTDS annual concentrations, loads and statistical trend likelihoods for sites in the Spokane River watershed, water years 1990-2018"}],"country":"United States","state":"Idaho","otherGeospatial":"Spokane River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.18017578125,\n 46.98025235521883\n ],\n [\n -114.80712890625,\n 46.98025235521883\n ],\n [\n -114.80712890625,\n 48.29781249243716\n ],\n [\n -117.18017578125,\n 48.29781249243716\n ],\n [\n -117.18017578125,\n 46.98025235521883\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

    Director, Idaho Water Science Center
    U.S. Geological Survey
    230 Collins Rd
    Boise, Idaho 83702-4520

    ","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-09-30","noUsgsAuthors":false,"publicationDate":"2020-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Zinsser, Lauren M. 0000-0002-8582-066X","orcid":"https://orcid.org/0000-0002-8582-066X","contributorId":205756,"corporation":false,"usgs":true,"family":"Zinsser","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":800122,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70214612,"text":"70214612 - 2020 - Pesticide mixtures show potential toxicity to aquatic life in U.S. streams, water years 2013-2017","interactions":[],"lastModifiedDate":"2023-03-27T17:11:21.101486","indexId":"70214612","displayToPublicDate":"2020-09-30T12:47:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Pesticide mixtures show potential toxicity to aquatic life in U.S. streams, water years 2013-2017","docAbstract":"

    During water years (WY) 2013–2017, the U.S. Geological Survey, National Water-Quality Assessment (NAWQA) Project, sampled the National Water Quality Network – Rivers and Streams (NWQN) year-round and reported on 221 pesticides at 72 sites across the United States in agricultural, developed, and mixed land use watersheds. The Pesticide Toxicity Index (PTI) was used to estimate the potential chronic and acute toxicity to three taxonomic groups – fish, cladocerans, and benthic invertebrates. For invertebrates (either cladocerans, benthic invertebrates, or both), the maximum PTI score exceeded the predicted acute toxicity screening level at 18 of the 72 sites (25%) at some point during WY 2013–2017. The predicted toxicity of a single pesticide compound was found to overwhelm the toxicity of other pesticides in the mixtures after concentrations were toxicity weighted. For this study, about 71%, 72%, and 92% of the Fish-, Cladoceran-, and Benthic Invertebrate-PTI scores, respectively, had one pesticide compound primarily contributing to sample potential toxicity (>50%).

    There were 17 (13 insecticides, 2 herbicides, 1 fungicide, and 1 synergist) of the 221 pesticide compounds analyzed that were the primary drivers of potential toxicity in each water sample in which the PTI and TUmax (toxic unit score for the pesticide that makes the single largest contribution to the PTI) scores were above predicted chronic (>0.1) or acute (>1) toxicity levels for one of the three taxa. For cladocerans and benthic invertebrates, the drivers of predicted chronic (>0.1) and acute (>1) PTIs were mostly insecticides. For cladocerans, the pesticide compounds driving the PTI scores were bifenthrin, carbaryl, chlorpyrifos, diazinon, dichlorvos, dicrotophos, diflubenzuron, flubendiamide, and tebupirimfos. For benthic invertebrates, atrazine (an herbicide), as well as the insecticides – bifenthrin, carbaryl, carbofuran, chlorpyrifos, diazinon, dichlorvos, fipronil, imidacloprid, and methamidophos – were the drivers of predicted toxicity. For fish, there were three pesticide types that contributed the most to predicted chronic (>0.1) PTIs – acetochlor, an herbicide; carbendazim, a fungicide degradate; and piperonylbutoxide, a synergist.

    ","language":"English","doi":"10.1016/j.scitotenv.2020.141285","usgsCitation":"Covert, S.A., Shoda, M.E., Stackpoole, S.M., and Stone, W.W., 2020, Pesticide mixtures show potential toxicity to aquatic life in U.S. streams, water years 2013-2017: Science of the Total Environment, v. 745, 141285, 12 p., https://doi.org/10.1016/j.scitotenv.2020.141285.","productDescription":"141285, 12 p.","ipdsId":"IP-117042","costCenters":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":455178,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.141285","text":"Publisher Index Page"},{"id":436772,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T86C5U","text":"USGS data release","linkHelpText":"Pesticide Toxicity Index (PTI) and maximum Toxic Unit (TUmax) scores and information for fish, cladocerans, and benthic invertebrates from water samples collected at National Water Quality Network sites during Water Years 2013-2017"},{"id":378920,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"745","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Covert, S. Alex 0000-0001-5981-1826","orcid":"https://orcid.org/0000-0001-5981-1826","contributorId":207179,"corporation":false,"usgs":true,"family":"Covert","given":"S.","email":"","middleInitial":"Alex","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":800224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":800225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922 sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":800226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Wesley W. 0000-0003-0239-2063 wwstone@usgs.gov","orcid":"https://orcid.org/0000-0003-0239-2063","contributorId":1496,"corporation":false,"usgs":true,"family":"Stone","given":"Wesley","email":"wwstone@usgs.gov","middleInitial":"W.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":800227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70214523,"text":"70214523 - 2020 - Case Study 4: NABat acoustic monitoring allows inferences about bat populations at multiple scales","interactions":[],"lastModifiedDate":"2021-01-25T17:29:28.676159","indexId":"70214523","displayToPublicDate":"2020-09-30T11:27:07","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Case Study 4: NABat acoustic monitoring allows inferences about bat populations at multiple scales","docAbstract":"North American bats face unprecedented risks from continuing and emerging threats including white-nose syndrome, wind energy development, and habitat loss. Many species of bats are thought to be recently experiencing unparalleled population declines unlike any previously observed (O’Shea et al. 2016). The North American Bat Monitoring Program (NABat) was conceived to better understand the true ecological consequences of these large-scale population reductions (Loeb et al. 2015). NABat aims is to improve the state of conservation science for the 47 species of bats shared by Canada, United States, and Mexico. To meet this objective, NABat offers standardize protocols and a unifying sample design facilitating a multi-agency, multinational, collaborative monitoring effort. A key element of NABat is cross-boundary partner coordination and sharing of limited resources for the collection of bat echolocation data. Here we provide three compelling examples of how NABat provides a convenient framework for using acoustic data to assess the potential impacts of current and future threats to North American bats across multiple spatial scales.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bat echolocation research: A handbook for planning and conducting acoustic studies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Bat Conservation International","usgsCitation":"Reichert, B., Rodhouse, T., Loeb, S., and Rae, J., 2020, Case Study 4: NABat acoustic monitoring allows inferences about bat populations at multiple scales, chap. of Bat echolocation research: A handbook for planning and conducting acoustic studies, p. 93-97.","productDescription":"5 p.","startPage":"93","endPage":"97","ipdsId":"IP-095630","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":382560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Crater Lake National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.398681640625,\n 42.78532283730215\n ],\n [\n -121.9104766845703,\n 42.78532283730215\n ],\n [\n -121.9104766845703,\n 43.1450861841603\n ],\n [\n -122.398681640625,\n 43.1450861841603\n ],\n [\n -122.398681640625,\n 42.78532283730215\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"2nd Edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":799808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodhouse, Thomas J.","contributorId":127378,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas J.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":799809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loeb, Susan","contributorId":204263,"corporation":false,"usgs":false,"family":"Loeb","given":"Susan","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":799810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rae, Jason","contributorId":241643,"corporation":false,"usgs":false,"family":"Rae","given":"Jason","email":"","affiliations":[{"id":36893,"text":"Wildlife Conservation Society Canada","active":true,"usgs":false}],"preferred":false,"id":799811,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209856,"text":"70209856 - 2020 - Mapping stream and floodplain geomorphic characteristics with the Floodplain and Channel Evaluation Tool (FACET) in the Mid-Atlantic Region, United States","interactions":[],"lastModifiedDate":"2021-01-26T17:07:55.001069","indexId":"70209856","displayToPublicDate":"2020-09-30T11:04:34","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mapping stream and floodplain geomorphic characteristics with the Floodplain and Channel Evaluation Tool (FACET) in the Mid-Atlantic Region, United States","docAbstract":"Quantifying channel and floodplain geomorphic characteristics is essential for understanding and modeling sediment and nutrient dynamics in fluvial systems. The increased availability of high-resolution elevation data from light detection and ranging (lidar) has helped improve methods for extracting these metrics at a greater accuracy across regional scales. The Floodplain and Channel Evaluation Tool (FACET) was developed as an open source tool to calculate a suite of geomorphic metrics describing channel and floodplain geometry from high-resolution digital elevation models (DEMs), providing estimates of channel width, bank height, cross-sectional area, and floodplain extent. Field data from sites in the Chesapeake Bay and Delaware River watersheds were used to calibrate and validate FACET within five physiographic provinces in the Mid-Atlantic region of the United States. Stream banks were identified using either a slope-threshold method at cross sections which are automatically generated at a user-defined interval along the delineated stream network, or by applying a curvature-threshold method for grid cells within a buffered distance from the stream network. The floodplain extent was mapped using a height above nearest drainage (HAND) grid and empirical regression models built for each physiographic province relating the HAND threshold to drainage area. Other user-defined input parameters within FACET control the sensitivity of calculations to DEM resolution, relief, and stream order, allowing for the ability to optimize FACET at multiple scales and/or regions if field survey data are available for calibration. Geomorphic metrics derived from FACET are currently being used to develop predictive models to estimate bank erosion and floodplain deposition to enhance our understanding of watershed sediment and nutrient budgets.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the geomorphometry 2020 conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Istituto di Ricerca per la Protezione Idrogeologica","doi":"10.30437/GEOMORPHOMETRY2020_65","usgsCitation":"Metes, M.J., Hopkins, K.G., Ahmed, L., Lamont, S., Claggett, P.R., and Noe, G.E., 2020, Mapping stream and floodplain geomorphic characteristics with the Floodplain and Channel Evaluation Tool (FACET) in the Mid-Atlantic Region, United States, in Proceedings of the geomorphometry 2020 conference, p. 243-246, https://doi.org/10.30437/GEOMORPHOMETRY2020_65.","productDescription":"4 p.","startPage":"243","endPage":"246","ipdsId":"IP-117008","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":382603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, New York, Pennsylvania, Virginia, West Viginia","otherGeospatial":"Chesapeake Bay watershed, Delaware Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.7509765625,\n 39.01064750994083\n ],\n [\n -73.93798828125,\n 40.06125658140474\n ],\n [\n -74.64111328125,\n 40.44694705960048\n ],\n [\n -74.091796875,\n 41.22824901518529\n ],\n [\n -74.1796875,\n 41.590796851056005\n ],\n [\n -74.7509765625,\n 43.34116005412307\n ],\n [\n -76.7724609375,\n 43.14909399920127\n ],\n [\n -77.9150390625,\n 42.633958722673135\n ],\n [\n -78.22265625,\n 41.062786068733026\n ],\n [\n -80.4638671875,\n 38.35888785866677\n ],\n [\n -80.9912109375,\n 37.07271048132943\n ],\n [\n -75.91552734375,\n 36.65079252503471\n ],\n [\n -75.12451171875,\n 38.34165619279595\n ],\n [\n -74.7509765625,\n 39.01064750994083\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Metes, Marina J. 0000-0002-6797-9837","orcid":"https://orcid.org/0000-0002-6797-9837","contributorId":204835,"corporation":false,"usgs":true,"family":"Metes","given":"Marina","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":788291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahmed, Labeeb","contributorId":224412,"corporation":false,"usgs":false,"family":"Ahmed","given":"Labeeb","affiliations":[{"id":40879,"text":"Attain LLC","active":true,"usgs":false}],"preferred":false,"id":788292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamont, Samuel","contributorId":204481,"corporation":false,"usgs":false,"family":"Lamont","given":"Samuel","email":"","affiliations":[{"id":36946,"text":"NOAA National Water Center","active":true,"usgs":false}],"preferred":false,"id":788293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":788295,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215026,"text":"70215026 - 2020 - Pressure coring operations during The University of Texas-Gulf of Mexico 2-1 (UT-GOM2-1) Hydrate Pressure Coring Expedition in Green Canyon Block 955, northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-10-06T20:08:45.472394","indexId":"70215026","displayToPublicDate":"2020-09-30T10:53:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Pressure coring operations during The University of Texas-Gulf of Mexico 2-1 (UT-GOM2-1) Hydrate Pressure Coring Expedition in Green Canyon Block 955, northern Gulf of Mexico","docAbstract":"

    In May 2017, The University of Texas Hydrate Pressure Coring Expedition Gulf of Mexico 2-1 (UT-GOM2-1) drilled two adjacent holes in Green Canyon Block 955 in the deep-water Gulf of Mexico as part of The University of Texas at Austin and US Department of Energy Deepwater Methane Hydrate Characterization and Scientific Assessment. Expedition operations included testing two configurations of a rotary pressure-coring tool in a gas hydrate–bearing formation. In the first hole, an extended core barrel (cutting shoe) configuration of the Pressure Coring Tool with Ball Valve (PCTB-CS) was deployed, and in the second hole, the PCTB face bit configuration (PCTB-FB) was deployed. The PCTB-CS successfully recovered and maintained pressure for only one core out of eight deployments. A series of incremental modifications were made during and after the PCTB-CS deployment period that impacted the operations of the subsequent PCTB-FB deployments. Thus, in the second hole, the PCTB-FB successfully recovered and maintained pressure within the hydrate stability zone for 11 cores out of 13 deployments. The PCTB cored gas hydrate–bearing sandy silt interbedded with non–hydrate-bearing clayey silt within the main reservoir. The PCTB also recovered long intervals of unbroken, high-quality core with preserved sedimentary structures. We recovered one pressure core 130 m (437 ft) above the main hydrate reservoir in the silty clay. Pressure coring is the only available technology for recovering intact cores from sediment that is normally disturbed by gas expansion, dissolution, or dissociation; this allows a wide range of scientific measurements to be obtained with minimal disturbance to the core sediment fabric. Analysis of pressure cores has the potential to illuminate the in situ properties, gas saturation, and gas composition of a wide range of reservoirs including unconventional shale systems.

    ","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/02262019036","usgsCitation":"Thomas, C., Phillips, S.C., Flemings, P., Santra, M., Hammon, H., Collett, T., Cook, A., Pettigrew, T., Mimitz, M., Holland, M., and Schultheiss, P., 2020, Pressure coring operations during The University of Texas-Gulf of Mexico 2-1 (UT-GOM2-1) Hydrate Pressure Coring Expedition in Green Canyon Block 955, northern Gulf of Mexico: AAPG Bulletin, v. 104, no. 9, p. 1877-1901, https://doi.org/10.1306/02262019036.","productDescription":"24 p.","startPage":"1877","endPage":"1901","ipdsId":"IP-106754","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":379085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.0791015625,\n 25.045792240303445\n ],\n [\n -82.4853515625,\n 26.902476886279832\n ],\n [\n -82.9248046875,\n 27.916766641249065\n ],\n [\n -82.79296874999999,\n 28.8831596093235\n ],\n [\n -84.19921875,\n 29.878755346037977\n ],\n [\n -85.5615234375,\n 29.267232865200878\n ],\n [\n -86.0009765625,\n 29.878755346037977\n ],\n [\n -88.857421875,\n 29.916852233070173\n ],\n [\n -89.6044921875,\n 29.267232865200878\n ],\n [\n -90.087890625,\n 28.806173508854776\n ],\n [\n -92.021484375,\n 29.305561325527698\n ],\n [\n -94.21875,\n 29.38217507514529\n ],\n [\n -96.15234375,\n 28.420391085674304\n ],\n [\n -97.03125,\n 27.449790329784214\n ],\n [\n -97.20703125,\n 26.31311263768267\n ],\n [\n -96.94335937499999,\n 25.562265014427492\n ],\n [\n -97.6025390625,\n 24.246964554300924\n ],\n [\n -97.03125,\n 21.002471054356725\n ],\n [\n -95.00976562499999,\n 18.687878686034182\n ],\n [\n -92.98828125,\n 18.687878686034182\n ],\n [\n -91.14257812499999,\n 19.518375478601566\n ],\n [\n -90.3515625,\n 21.69826549685252\n ],\n [\n -87.099609375,\n 21.779905342529645\n ],\n [\n -81.0791015625,\n 25.045792240303445\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"104","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Carla","contributorId":242639,"corporation":false,"usgs":false,"family":"Thomas","given":"Carla","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":800603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Stephen C.","contributorId":242640,"corporation":false,"usgs":false,"family":"Phillips","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":800597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flemings, Peter B.","contributorId":242641,"corporation":false,"usgs":false,"family":"Flemings","given":"Peter B.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":800576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Santra, Manasij","contributorId":242642,"corporation":false,"usgs":false,"family":"Santra","given":"Manasij","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":800577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammon, Helen","contributorId":242643,"corporation":false,"usgs":false,"family":"Hammon","given":"Helen","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":800578,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":800573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cook, Ann","contributorId":242644,"corporation":false,"usgs":false,"family":"Cook","given":"Ann","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":800598,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pettigrew, Tom","contributorId":242645,"corporation":false,"usgs":false,"family":"Pettigrew","given":"Tom","affiliations":[{"id":48042,"text":"Pettigrew Engineering","active":true,"usgs":false}],"preferred":false,"id":800599,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mimitz, Mike","contributorId":242646,"corporation":false,"usgs":false,"family":"Mimitz","given":"Mike","affiliations":[{"id":48495,"text":"Geotek Coring","active":true,"usgs":false}],"preferred":false,"id":800600,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Holland, Melanie","contributorId":242647,"corporation":false,"usgs":false,"family":"Holland","given":"Melanie","affiliations":[{"id":48495,"text":"Geotek Coring","active":true,"usgs":false}],"preferred":false,"id":800601,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schultheiss, Peter","contributorId":242648,"corporation":false,"usgs":false,"family":"Schultheiss","given":"Peter","affiliations":[{"id":48496,"text":"Geotek","active":true,"usgs":false}],"preferred":false,"id":800602,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70224526,"text":"70224526 - 2020 - Assessing the long-term earthquake risk for the US National Bridge Inventory (NBI)","interactions":[],"lastModifiedDate":"2021-12-08T16:29:40.730452","indexId":"70224526","displayToPublicDate":"2020-09-30T10:28:34","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Assessing the long-term earthquake risk for the US National Bridge Inventory (NBI)","docAbstract":"

    We estimate annualized earthquake loss associated with over 600,000 bridges located throughout the contiguous United States. Each year, the Federal Highway Administration, in partnership with State Departments of Transportation, undertake a massive exercise to update the National Bridge Inventory (NBI) by combining data from states, federal agencies, local jurisdictions, and tribal governments. The NBI captures pertinent details related to individual bridges (e.g., their usage, repairs, or retrofits). We make use of the 2018 NBI that contain the necessary engineering attributes needed to assign the appropriate Hazus bridge class for each bridge, which can then be used for engineering risk analyses. Basic structural data, component dimensions, and regional replacement cost factors are used to develop an economic exposure model. This is a significant improvement over previous replacement costs, and as a result of this study, results are now available within the Federal Emergency Management Agency’s Hazus platform. Earthquake hazard is defined using the U.S. Geological Survey’s 2018 National Seismic Hazard Model. For each bridge location, we obtain an earthquake shaking hazard curve defined in terms of spectral acceleration at a vibration period of 1.0 sec, ensuring that it properly reflects the site-specific soil conditions. We then integrate it with the bridge-specific fragility curve to compute annual probabilities of exceeding various damage states. Next, we perform economic loss analyses using the repair costs associated with specific damage states, resulting in an estimate of mean total annual financial loss for each bridge; this long-term measure of seismic risk enables us to illustrate the distribution of overall financial risk with respect to geographical region, era of construction, or type of bridge.

    ","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th World Conference on Earthquake Engineering","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Japan Association for Earthquake Engineering","collaboration":"Caltrans Division of Research, Innovation and System Information; NiyamIT Inc.; FEMA","usgsCitation":"Jaiswal, K.S., Kwong, N.S., Yen, S.S., Bausch, D., Lin, K., Luco, N., Wald, D.J., and Rozelle, J., 2020, Assessing the long-term earthquake risk for the US National Bridge Inventory (NBI), in Proceedings of the 17th World Conference on Earthquake Engineering, C003361, 9 p.","productDescription":"C003361, 9 p.","ipdsId":"IP-116290","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":392629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"contiguous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwong, N. Simon 0000-0003-3017-9585","orcid":"https://orcid.org/0000-0003-3017-9585","contributorId":241863,"corporation":false,"usgs":true,"family":"Kwong","given":"N.","email":"","middleInitial":"Simon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yen, S. S.","contributorId":265964,"corporation":false,"usgs":false,"family":"Yen","given":"S.","email":"","middleInitial":"S.","affiliations":[{"id":54842,"text":"Caltrans Division of Research, Innovation and System Information","active":true,"usgs":false}],"preferred":false,"id":823873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bausch, D.","contributorId":265965,"corporation":false,"usgs":false,"family":"Bausch","given":"D.","affiliations":[{"id":54845,"text":"NiyamIT Inc.","active":true,"usgs":false}],"preferred":false,"id":823874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, Kuo-wan 0000-0002-7520-8151 klin@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-8151","contributorId":1539,"corporation":false,"usgs":true,"family":"Lin","given":"Kuo-wan","email":"klin@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823876,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":823877,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rozelle, J.","contributorId":265966,"corporation":false,"usgs":false,"family":"Rozelle","given":"J.","affiliations":[{"id":30786,"text":"FEMA","active":true,"usgs":false}],"preferred":false,"id":823878,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70216548,"text":"70216548 - 2020 - Photosynthetic and respiratory acclimation of understory shrubs in response to in situ experimental warming of a wet tropical forest","interactions":[],"lastModifiedDate":"2020-11-25T16:30:19.20556","indexId":"70216548","displayToPublicDate":"2020-09-30T10:15:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Photosynthetic and respiratory acclimation of understory shrubs in response to in situ experimental warming of a wet tropical forest","title":"Photosynthetic and respiratory acclimation of understory shrubs in response to in situ experimental warming of a wet tropical forest","docAbstract":"

    Despite the importance of tropical forests to global carbon balance, our understanding of how tropical plant physiology will respond to climate warming is limited. In addition, the contribution of tropical forest understories to global carbon cycling is predicted to increase with rising temperatures, however, in situ warming studies of tropical forest plants to date focus only on upper canopies. We present results of an in situ field-scale +4°C understory infrared warming experiment in Puerto Rico (Tropical Responses to Altered Climate Experiment; TRACE). We investigated gas exchange responses of two common understory shrubs, Psychotria brachiata and Piper glabrescens, after exposure to 4 and 8 months warming. We assessed physiological acclimation in two ways: (1) by comparing plot-level physiological responses in heated versus control treatments before and after warming, and (2) by examining physiological responses of individual plants to variation in environmental drivers across all plots, seasons, and treatments. P. brachiata has the capacity to up-regulate (i.e., acclimate) photosynthesis through broadened thermal niche and up-regulation of photosynthetic temperature optimum (Topt) with warmer temperatures. P. glabrescens, however, did not upregulate any photosynthetic parameter, but rather experienced declines in the rate of photosynthesis at the optimum temperature (Aopt), corresponding with lower stomatal conductance under warmer daily temperatures. Contrary to expectation, neither species showed strong evidence for respiratory acclimation. P. brachiata down-regulated basal respiration with warmer daily temperatures during the drier winter months only. P. glabrescens showed no evidence of respiratory acclimation. Unexpectedly, soil moisture, was the strongest environmental driver of daily physiological temperature responses, not vegetation temperature. Topt increased, while photosynthesis and basal respiration declined as soils dried, suggesting that drier conditions negatively affected carbon uptake for both species. Overall, P. brachiata, an early successional shrub, showed higher acclimation potential to daily temperature variations, potentially mitigating negative effects of chronic warming. The negative photosynthetic response to warming experienced by P. glabrescens, a mid-successional shrub, suggests that this species may not be able to as successfully tolerate future, warmer temperatures. These results highlight the importance of considering species when assessing climate change and relay the importance of soil moisture on plant function in large-scale warming experiments.

    ","language":"English","publisher":"Frontiers Media","doi":"10.3389/ffgc.2020.576320","usgsCitation":"Carter, K.R., Wood, T.E., Reed, S., Schwartz, E.C., Reinsel, M.B., and Yang, X., 2020, Photosynthetic and respiratory acclimation of understory shrubs in response to in situ experimental warming of a wet tropical forest: Frontiers in Forests and Global Change, v. 3, 576320, 20 p., https://doi.org/10.3389/ffgc.2020.576320.","productDescription":"576320, 20 p.","ipdsId":"IP-117228","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":455183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2020.576320","text":"Publisher Index Page"},{"id":380786,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Luquillo Experimental Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.84981918334961,\n 18.28877145291284\n ],\n [\n -65.82012176513672,\n 18.28877145291284\n ],\n [\n -65.82012176513672,\n 18.312810846425442\n ],\n [\n -65.84981918334961,\n 18.312810846425442\n ],\n [\n -65.84981918334961,\n 18.28877145291284\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2020-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Kelsey R.","contributorId":245234,"corporation":false,"usgs":false,"family":"Carter","given":"Kelsey","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":805580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Tana E.","contributorId":197805,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","middleInitial":"E.","affiliations":[],"preferred":false,"id":805581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":805582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, Elsa C.","contributorId":245235,"corporation":false,"usgs":false,"family":"Schwartz","given":"Elsa","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":805583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reinsel, Madeline B.","contributorId":245236,"corporation":false,"usgs":false,"family":"Reinsel","given":"Madeline","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":805655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yang, Xi","contributorId":245237,"corporation":false,"usgs":false,"family":"Yang","given":"Xi","email":"","affiliations":[],"preferred":false,"id":805656,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70270772,"text":"70270772 - 2020 - Assessing the distribution and habitat needs of the Least Darter and sympatric species of the Ozark and Arbuckle Mountain ecoregions","interactions":[],"lastModifiedDate":"2025-08-28T15:18:35.030108","indexId":"70270772","displayToPublicDate":"2020-09-30T10:12:46","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-146-2020","title":"Assessing the distribution and habitat needs of the Least Darter and sympatric species of the Ozark and Arbuckle Mountain ecoregions","docAbstract":"

    Limited information is known about factors driving the distribution of Least Darter in Oklahaoma. The Least Darter occurs in the Ozark Highland and Arbuckle Uplift ecoregions of Oklahoma which represent the southern extent of its range. Least Darter was historically recorded in Oklahoma from groundwater-fed streams. Our study objectives were to determine the distribution of Least Darter and a subset of congeners across the two ecoregions of Oklahoma and assess factors driving patch occupancy of Least Darter at a fine spatial scale. We used temporally replicated snorkel surveys conducted in July through October 2018-2019 to determine occupany by Least Darter. We snorkeled and seined for four species in each reach including two life stages of Smallmouth Bass (subadult and adult). We sampled 153 sites (i.e., riffle-pool complexes) nested within 61 stream reaches (i.e., 200-500-m long) in the Arbuckle Uplift and Ozark Highland ecoregions. Detection probability was similar between ecoregions. Least Darter was detected at more sites when snorkeling compared to seining (24 versus 18). Smallmouth Bass, Redspot Chub and Southern Redbelly Dace were typically 2-3 times more likely to be detected by snorkeling than by seining. We found relationships between occupancy and habitat parameters that were both shared among species but also species-specific. Least Darter occurrence probability in the Ozark Highlands was lower than in the Arbuckle Uplift. Occurrence probability was higher for subadult Smallmouth Bass and Southern Redbelly Dace in 2018 compared to 2019. Occurrence probabilities of both Least Darter and Southern Redbelly Dace were higher in cooler habitat patches. Southern Redbelly Dace was negatively associated with a higher proportion of pool habitat across a reach. Lastly, subadult Smallmouth Bass and Redspot Chub were more likely to occur in deeper pools and in larger streams (i.e., drainage area). We sampled one study reach (~150-m long with shallow riffles or a waterfall on each end) in the Arbuckle Uplift (winter and summer sampling) and Ozark Highland (winter sampling) ecoregions to determine fine-scale habitat selection during the thermally harsh seasons. We developed transects across the reaches to quantify depth, velocity, substrate, cover and water temperature. We found Least Darter used higher water column velocities and shallower water depths with little vegetation during the winter. The average water depth used was similar during summer and winter (~ 20 cm deep). Least Darter used denser vegetation during the summer and tended to avoid coarse substrates in both seasons. If the conservation of Least Darter is a management goal, actions to mitigate increasing stream water temperatures (e.g., protection of springs and riparian corridors) and protecting stream morphologies that facilitate species separations (i.e., allow for a wide range of water depth and velocities) may be beneficial (e.g., fencing cattle from streams, promoting natural bankful flows during spring)

    ","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css59114986","usgsCitation":"Brewer, S., Sewdberg, D., Mollenhauer, R., and Dattilo, J., 2020, Assessing the distribution and habitat needs of the Least Darter and sympatric species of the Ozark and Arbuckle Mountain ecoregions: Cooperator Science Series CSS-146-2020, 63 p., https://doi.org/10.3996/css59114986.","productDescription":"63 p.","ipdsId":"IP-124601","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Ozark and Arbuckle Mountain ecoregions","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.48968658701178,\n 37.07593633608397\n ],\n [\n -98.34921377661617,\n 37.07593633608397\n ],\n [\n -98.34921377661617,\n 33.75112170322656\n ],\n [\n -94.48968658701178,\n 33.75112170322656\n ],\n [\n -94.48968658701178,\n 37.07593633608397\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2022-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sewdberg, D.","contributorId":360422,"corporation":false,"usgs":false,"family":"Sewdberg","given":"D.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":947044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mollenhauer, R.","contributorId":276144,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"R.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":947045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dattilo, J.","contributorId":274267,"corporation":false,"usgs":false,"family":"Dattilo","given":"J.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":947046,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}