{"pageNumber":"406","pageRowStart":"10125","pageSize":"25","recordCount":165309,"records":[{"id":70226897,"text":"70226897 - 2022 - Status and trends of the Lake Huron prey fish community, 1976-2020","interactions":[],"lastModifiedDate":"2022-04-08T16:11:32.829999","indexId":"70226897","displayToPublicDate":"2022-01-01T11:08:38","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Status and trends of the Lake Huron prey fish community, 1976-2020","docAbstract":"The USGS Great Lakes Science Center (GLSC) has assessed annual changes in the offshore prey fish community of Lake Huron since 1973.  Assessments are based on a bottom trawl survey conducted in October and an acoustics-midwater trawl survey conducted in September-October.  In 2020, USGS-GLSC vessels were not permitted to cross into Canada due to the COVID-19 pandemic, so prey fish surveys sampled only sites in U.S. (Michigan) waters of Lake Huron. This prevented USGS from providing information about the current status and trends of prey fish communities in Georgian Bay and the North Channel.  Prey fish biomass in U.S. waters of Lake Huron in 2020 remained below levels observed prior to community-wide declines that began in the early to mid-1990s. Fish community biomass was dominated by two species, Bloater (Coregonus hoyi) and Rainbow Smelt (Osmerus mordax).  While both surveys found Bloater biomass in the main basin had declined from levels observed in 2019, Bloater still comprised over three-quarters of prey fish biomass in Lake Huron in 2020.  Biomass and abundance for other prey fish species were within the range observed over the past five years.  Current low biomass of invasive species like Alewife (Alosa pseudoharengus) and Rainbow Smelt is consistent with fish community objectives focused on restoration of native fish communities.  Reduced lake productivity, predation by a recovering piscivore community, and shifts in food web dynamics that favor fish production in nearshore environments may prevent prey fish biomass in offshore areas from returning to levels observed prior to the early 1990’s.  However, the dominance of Bloater in bottom trawl catches and acoustic surveys suggests that current lake conditions are conducive to the recovery of some native species.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Hondorp, D.W., O’Brien, T.P., Esselman, P., and Roseman, E., 2022, Status and trends of the Lake Huron prey fish community, 1976-2020, 31 p.","productDescription":"31 p.","ipdsId":"IP-134682","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":398391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398390,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org"}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": 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]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":828709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":828710,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":828711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":828712,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256646,"text":"70256646 - 2022 - Agent-based modeling of movements and habitat selection by mid-continent mallards","interactions":[],"lastModifiedDate":"2024-09-09T16:11:44.295133","indexId":"70256646","displayToPublicDate":"2022-01-01T11:07:39","publicationYear":"2022","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":"FWS/CSS-143-2022","title":"Agent-based modeling of movements and habitat selection by mid-continent mallards","docAbstract":"<p><span>We found that the absence of existing conservation measures would reduce wintering mallard population size by ~70-80%, underlining the importance of current wetland easements for waterfowl foraging. Under standard conditions, the partial active flooding of easements later in the season and the upgrading of unmanaged wetlands to managed status resulted in greatest mallard populations, indicating that active flooding (stored water release) was able to considerably increase carrying capacity under strong drought conditions.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Weller, F., Webb, E.B., Beatty, W., Fogenburg, S., Kesler, D., Blenk, R., Eadie, J., Ringelman, K., and Miller, M.L., 2022, Agent-based modeling of movements and habitat selection by mid-continent mallards: Cooperator Science Series FWS/CSS-143-2022, ii, 102 p.","productDescription":"ii, 102 p.","ipdsId":"IP-138825","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":431977,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/agent-based-modeling-movements-and-habitat-selection-mid-continent-mallards"},{"id":433631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weller, Florian G.","contributorId":341462,"corporation":false,"usgs":false,"family":"Weller","given":"Florian G.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":908463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":908464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":224795,"corporation":false,"usgs":true,"family":"Beatty","given":"William S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":908465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fogenburg, Sean","contributorId":341463,"corporation":false,"usgs":false,"family":"Fogenburg","given":"Sean","affiliations":[],"preferred":false,"id":908466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kesler, Dylan","contributorId":341464,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","affiliations":[{"id":37290,"text":"The Institute for Bird Populations","active":true,"usgs":false}],"preferred":false,"id":908467,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blenk, Robert H.","contributorId":341465,"corporation":false,"usgs":false,"family":"Blenk","given":"Robert H.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":908468,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eadie, John M.","contributorId":341466,"corporation":false,"usgs":false,"family":"Eadie","given":"John M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":908469,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ringelman, Kevin","contributorId":341467,"corporation":false,"usgs":false,"family":"Ringelman","given":"Kevin","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":908470,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Matt L.","contributorId":341468,"corporation":false,"usgs":false,"family":"Miller","given":"Matt","email":"","middleInitial":"L.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":908471,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227426,"text":"70227426 - 2022 - Gas hydrates on Alaskan marine margins","interactions":[],"lastModifiedDate":"2022-01-14T16:38:17.536274","indexId":"70227426","displayToPublicDate":"2022-01-01T10:32:18","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Gas hydrates on Alaskan marine margins","docAbstract":"<p><span>Gas hydrate distributions on the marine margins of the U.S. state of Alaska are more poorly known than those on other U.S. margins, where bottom simulating reflections have been systematically mapped on marine seismic data to support modern, quantitative assessments of gas-in-place in gas hydrates. The extent of bottom simulating reflections in the U.S. Beaufort Sea has been known since the late 1970s, and researchers have investigated the possibility that remnant gas hydrate persists in association with decaying subsea permafrost on both the U.S. and Canadian Beaufort continental shelves. In the Bering Sea, possible gas hydrate-related features have been widely mapped, revealing zones of free gas and concentrated gas hydrate within the hydrate stability zone in features called velocity amplitude anomalies (VAMPs). However, there are few reports on bottom simulating reflections along the more than 2500 km of the Aleutian arc and along the transform plate margin in southeast Alaska. Here we examine selected seismic profiles from southeast Alaska, along the Aleutian margin, and on the Bering continental slope, emphasizing surveys acquired with large airgun arrays, and review the results obtained from Bering Sea’s Aleutian Basin and from the U.S. Beaufort Sea. In the new analyses, we detect hydrate-related bottom simulating reflections in southeastern Alaska and the eastern and central parts of the Aleutian arc, but not in the western Aleutian arc or beneath the continental slope from the island arc north into the Aleutian Basin. In the Bering Sea, recognition of hydrate-related bottom simulating reflections is complicated by the widespread existence of a bottom simulating reflector associated with a diagenetic transition (opal CT). Our detection of continental slope hydrate-related bottom simulating reflections in southeast Alaska and the eastern and central Aleutian arcs expands the area of potential gas hydrate distribution on Alaskan margins and underscores the need for more systematic analysis of existing seismic data to inform quantitative evaluation of gas-in-place.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"World atlas of submarine gas hydrates in continental margins","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-81186-0_17","usgsCitation":"Ruppel, C.D., and Hart, P.E., 2022, Gas hydrates on Alaskan marine margins, chap. <i>of</i> World atlas of submarine gas hydrates in continental margins, p. 209-223, https://doi.org/10.1007/978-3-030-81186-0_17.","productDescription":"15 p.","startPage":"209","endPage":"223","ipdsId":"IP-122791","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":394384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bering Sea’s Aleutian basin, U.S. Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.169921875,\n              69.59589006237648\n            ],\n            [\n              -140.18554687499997,\n              69.59589006237648\n            ],\n            [\n              -140.18554687499997,\n              73.42842364106816\n            ],\n            [\n              -159.169921875,\n              73.42842364106816\n            ],\n            [\n              -159.169921875,\n              69.59589006237648\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -177.01171875,\n              47.87214396888731\n            ],\n            [\n              -153.017578125,\n              47.87214396888731\n            ],\n            [\n              -153.017578125,\n              61.39671887310411\n            ],\n            [\n              -177.01171875,\n              61.39671887310411\n            ],\n            [\n              -177.01171875,\n              47.87214396888731\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2022-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830833,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70228833,"text":"70228833 - 2022 - Interagency Flood Risk Management (InFRM) watershed hydrology assessment for the Neches River basin. Appendix D: RiverWare analyses","interactions":[],"lastModifiedDate":"2024-03-27T15:12:27.207997","indexId":"70228833","displayToPublicDate":"2022-01-01T10:07:41","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":17147,"text":"Interagency Flood Risk Management Report","active":true,"publicationSubtype":{"id":1}},"title":"Interagency Flood Risk Management (InFRM) watershed hydrology assessment for the Neches River basin. Appendix D: RiverWare analyses","docAbstract":"<p>RiverWare is a river system modeling tool developed by CADSWES (Center of Advanced Decision Support for Water and Environmental Systems) that allows the user to simulate complex reservoir operations and perform period-of-record analyses for different scenarios. For the InFRM hydrology studies, RiverWare is used to generate a homogeneous regulated POR by simulating the basin as if the reservoirs and their current rule sets had been present in the basin for the entire time period. Statistical analyses can then be performed on the extended records at the gages. This report summarizes the RiverWare portion of the hydrologic analysis being completed for the InFRM Hydrology study of the Neches River Basin.</p><p>The RiverWare model described in this chapter presents development of the Neches River Basin hydrology, which mimics current operational conditions. The use of the RiverWare program allows for data extension to periods prior to dam construction. The utilization of longer streamgage record improves discharge frequency results and increases the confidence of the analysis being performed. The modeling evaluation criteria are: (1) evaluate output based on validating policies and functions, and (2) prioritize operation based on surcharge and flood control. A detailed explanation of the Neches River Basin POR hydrology will be in a later section.</p><p>Calibration results will also be shown that illustrate model performance since the Salt Water Barrier (SWB) construction was completed in 2005. The time window simulation run is for water year (WY) 2005 – WY 2018. This time window also captures the time when Hurricane Harvey occurred (late August of 2017). Each simulated water year was inspected individually to better validate the results.</p><p>After calibration, a general run for January 01, 1929 through WY 2018 was made. Historical pool elevations along with observed inflows and outflows were compared against the model simulated results. More emphasis was put on B.A. Steinhagen’s operations because the dam captures two major rivers (i.e. the Angelina and the Neches Rivers). Results were inspected closely for B.A. Steinhagen’s pool and releases, the simulated discharges at the Neches at Evadale gage, and the simulated discharges at the SWB at Beaumont, Texas.</p>","language":"English","publisher":"Interagency Flood Risk Management","collaboration":"U.S. Army Corps of Engineers, Federal Emergency Management Agency","usgsCitation":"Wallace, D., 2022, Interagency Flood Risk Management (InFRM) watershed hydrology assessment for the Neches River basin. Appendix D: RiverWare analyses: Interagency Flood Risk Management Report, 66 p.","productDescription":"66 p.","ipdsId":"IP-113418","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":427144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396305,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://webapps.usgs.gov/infrm/#ha"}],"country":"United States","state":"Texas","otherGeospatial":"Neches River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96,\n              32\n            ],\n            [\n              -96,\n             30\n            ],\n            [\n              -94,\n              30\n            ],\n            [\n              -94,\n              32\n            ],\n            [\n              -96,\n              32\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, David S. 0000-0002-9134-8197","orcid":"https://orcid.org/0000-0002-9134-8197","contributorId":205198,"corporation":false,"usgs":true,"family":"Wallace","given":"David S.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":835669,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70252506,"text":"70252506 - 2022 - Common ground: Flood-risk reduction and conservation in large-river floodplains in Missouri","interactions":[],"lastModifiedDate":"2024-03-27T14:58:55.194927","indexId":"70252506","displayToPublicDate":"2022-01-01T09:55:54","publicationYear":"2022","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":17333,"text":"Missouri Natural Areas Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Common ground: Flood-risk reduction and conservation in large-river floodplains in Missouri","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Missouri Department of Conservation","usgsCitation":"Jacobson, R.B., 2022, Common ground: Flood-risk reduction and conservation in large-river floodplains in Missouri: Missouri Natural Areas Newsletter, v. 22, no. 1, p. 39-48.","productDescription":"10 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Andy","contributorId":302402,"corporation":false,"usgs":false,"family":"Greene","given":"Andy","email":"","affiliations":[],"preferred":false,"id":864380,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leafloor, Jim","contributorId":302401,"corporation":false,"usgs":false,"family":"Leafloor","given":"Jim","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":864377,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70229700,"text":"70229700 - 2022 - Estimates of metals contained in abyssal manganese nodules and ferromanganese crusts in the global ocean based on regional variations and genetic types of nodules","interactions":[],"lastModifiedDate":"2025-07-11T18:52:30.497681","indexId":"70229700","displayToPublicDate":"2022-01-01T09:44:27","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimates of metals contained in abyssal manganese nodules and ferromanganese crusts in the global ocean based on regional variations and genetic types of nodules","docAbstract":"<p><span>Deep-ocean ferromanganese crusts and manganese nodules are important marine repositories for global metals. Interest in these minerals as potential resources has led to detailed sampling in many regions of the global ocean, allowing for updated estimates of their global extent. Here, we present global estimates of total tonnage as well as contained metal concentrations and tonnages for ferromanganese crusts and manganese nodules using the most extensive compilation of geochemical data collected to date, along with updated boundaries of regions of interest for these minerals. We present results from mean composition calculated in two ways: first, a global flat average of regional mean compositions, and second, a regionally weighted average that considers differences in chemistry among genetic types and/or oceanographic and geologic settings for these mineral occurrences. For nodules, we use the three genetic types: (1) hydrogenetic, typified by nodules from the West Pacific Nodule Field and Penrhyn Basin; (2) diagenetic, typified by nodules from the Peru Basin; (3) mixed hydrogenetic-diagenetic, typified by nodules from the Clarion–Clipperton Zone and the Central Indian Ocean Basin, and Atlantic Ocean regional type hydrogenetic nodules. All crusts considered here are of hydrogenetic origin, which we divide into seven regional types that reflect a combination of ocean basin and other source inputs. Crust types include Arctic Ocean, Atlantic Ocean, Indian Ocean, Continental Margin, Prime Crust Zone (PCZ), North Pacific (non PCZ), and South Pacific. Based on our areal estimates, we find that abyssal regions likely to contain hydrogenetic-type nodules are by far the most widespread in the global ocean (47%&nbsp;of total area), Atlantic Ocean (28%) are next, followed by mixed diagenetic-hydrogenetic (22%) and diagenetic (3%) types. For crusts, the Prime Crust Zone is the most extensive global region (27%&nbsp;of total area) followed by South Pacific (20%), Indian Ocean (18%), North Pacific (12%), Continental Margins (11%), Atlantic Ocean (10%), and Arctic Ocean (2%) types. The global total tonnage estimates that we calculated from this method are 21&nbsp;×&nbsp;10</span><sup>10</sup><span>&nbsp;dry tons for manganese nodules, within the range of previous estimates, and 93&nbsp;×&nbsp;10</span><sup>10 </sup><span>dry tons for ferromanganese crusts, which is 4.5 times higher than the 20&nbsp;×&nbsp;10</span><sup>10</sup><span>dry tons reported by Hein et al. (2003). This geology and oceanography driven approach to marine mineral quantification contrasts with estimates typically carried out for terrestrial mineral resource deposits. Nevertheless, these estimates and the data that support them demonstrate that marine minerals are an impressive repository for global metals.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Perspectives on deep-sea mining","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-87982-2_3","usgsCitation":"Mizell, K., Hein, J.R., Au, M., and Gartman, A., 2022, Estimates of metals contained in abyssal manganese nodules and ferromanganese crusts in the global ocean based on regional variations and genetic types of nodules, chap. <i>of</i> Perspectives on deep-sea mining, p. 53-80, https://doi.org/10.1007/978-3-030-87982-2_3.","productDescription":"28 p.","startPage":"53","endPage":"80","ipdsId":"IP-131627","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":492156,"rank":2,"type":{"id":12,"text":"Errata"},"url":"https://doi.org/10.1007/978-3-030-87982-2_24","text":"Correction","linkFileType":{"id":5,"text":"html"},"linkHelpText":"Correction to: Estimates of Metals Contained in Abyssal Manganese Nodules and Ferromanganese Crusts in the Global Ocean Based on Regional Variations and Genetic Types of Nodules"},{"id":397113,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":837997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":837998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Au, Manda Viola","contributorId":288485,"corporation":false,"usgs":true,"family":"Au","given":"Manda Viola","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":837999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":838000,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227479,"text":"70227479 - 2022 - Living with wildfire in Log Hill Mesa, Ouray County, Colorado: 2017 data report and a comparison to 2011 and 2012 data","interactions":[],"lastModifiedDate":"2022-01-21T15:31:58.432761","indexId":"70227479","displayToPublicDate":"2022-01-01T09:23:22","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN 91","title":"Living with wildfire in Log Hill Mesa, Ouray County, Colorado: 2017 data report and a comparison to 2011 and 2012 data","docAbstract":"<p><span>Over the last decade, a team of researchers and practitioners, referred to as the Wildfire Research Team (WiRē1 Team), has worked with wildfire practitioners seeking to create communities that are adapted to wildfire through an evidenced-based approach. The West Region Wildfire Council (WRWC) has been an integral partner amongst the WiRē Team throughout this time. Together, the WiRē Team has developed a systematic data collection and integration approach (the WiRē approach) that informs local wildfire risk education efforts and allows for monitoring of community adaptation over time. Through this approach, we collect and analyze locally relevant wildfire risk and social science data to enhance the effectiveness of local wildfire risk mitigation efforts. A unique aspect of this report is that the data collection effort was replicated. The results of the 2011/2012 data collection effort are summarized in Meldrum et. al. (2013). In this report, the results of the 2017 data collection effort are summarized first, followed by a brief comparison of the 2017 results to the 2011/2012 data. This comparison is offered to provide context to the 2017 data; in-depth investigation of change over time is beyond the scope of this report.</span></p>","language":"English","publisher":"USDA Forest Service, Rocky Mountain Research Station","doi":"10.2737/RMRS-RN-91","usgsCitation":"Donovan, C., Gomez, J., Falk, L.C., Barth, C.M., Champ, P.A., Brenkert-Smith, H., Meldrum, J., and Wagner, C., 2022, Living with wildfire in Log Hill Mesa, Ouray County, Colorado: 2017 data report and a comparison to 2011 and 2012 data: Research Note RMRS-RN 91, 45 p., https://doi.org/10.2737/RMRS-RN-91.","productDescription":"45 p.","ipdsId":"IP-126547","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":449300,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2737/rmrs-rn-91","text":"Publisher Index Page"},{"id":394660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Ouray County","otherGeospatial":"Log Hill Mesa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.97225952148438,\n              38.17235306715556\n            ],\n            [\n              -107.76214599609375,\n              38.17235306715556\n            ],\n            [\n              -107.76214599609375,\n              38.32765244536364\n            ],\n            [\n              -107.97225952148438,\n              38.32765244536364\n            ],\n            [\n              -107.97225952148438,\n              38.17235306715556\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2022-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":831127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomez, Jamie","contributorId":218078,"corporation":false,"usgs":false,"family":"Gomez","given":"Jamie","email":"","affiliations":[{"id":38125,"text":"West Region Wildfire Council","active":true,"usgs":false}],"preferred":false,"id":831128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falk, Lilia C.","contributorId":210655,"corporation":false,"usgs":false,"family":"Falk","given":"Lilia","email":"","middleInitial":"C.","affiliations":[{"id":38125,"text":"West Region Wildfire Council","active":true,"usgs":false}],"preferred":false,"id":831129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barth, Christopher M.","contributorId":195487,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":831130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Champ, Patricia A.","contributorId":195486,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":831131,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":831132,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":831133,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":831134,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70229817,"text":"70229817 - 2022 - Relative bias in catch among long-term fish monitoring surveys within the San Francisco Estuary","interactions":[],"lastModifiedDate":"2022-03-18T14:34:13.706782","indexId":"70229817","displayToPublicDate":"2022-01-01T09:21:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Relative bias in catch among long-term fish monitoring surveys within the San Francisco Estuary","docAbstract":"<p><span>Fish monitoring gears rarely capture all available fish, an inherent bias in monitoring programs referred to as catchability. Catchability is a source of bias that can be affected by numerous aspects of gear deployment (e.g., deployment speed, mesh size, and avoidance behavior). Thus, care must be taken when multiple surveys—especially those using different sampling methods—are combined to answer spatio-temporal questions about population and community dynamics. We assessed relative catchability differences among four long-term fish monitoring surveys from the San Francisco Estuary: the Bay Study Otter Trawl (BSOT), the Bay Study Midwater Trawl (BSMT), the Fall Midwater Trawl (FMWT), and the Suisun Marsh Otter Trawl (SMOT). We used generalized additive models with a spatio-temporal smoother and survey as a fixed effect to predict gear-specific estimates of catch for 45 different fish species within large and small size classes. We used estimates of the fixed effect coefficients for each survey (e.g., BSOT) relative to the reference gear (FMWT) to develop relative measures of catchability among taxa, surveys, and fish-size classes, termed the catch-ratio. We found higher relative catchability of 27%, 22%, and 57% of fish species in large size classes from the FMWT than in the BSMT, BSOT, or SMOT, respectively. In the small size class, relative catchability was higher in the FMWT than the BSMT, BSOT, or SMOT for 50%, 18%, and 25% of fish species, respectively. As expected, relative catchability of demersal species was higher in the otter trawls (BSOT, SMOT) while relative catchability of pelagic species was higher in the midwater trawls (FMWT, BSMT). Our results demonstrate that catchability is a source of bias among monitoring efforts within the San Francisco Estuary, and assuming equal catchability among surveys, species, and size classes could result in significant bias when describing spatio-temporal patterns in catch if ignored.</span></p>","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2022v20iss1art3","usgsCitation":"Huntsman, B., Mahardja, B., and Bashevkin, S., 2022, Relative bias in catch among long-term fish monitoring surveys within the San Francisco Estuary: San Francisco Estuary and Watershed Science, v. 20, no. 1, 3, 17 p., https://doi.org/10.15447/sfews.2022v20iss1art3.","productDescription":"3, 17 p.","ipdsId":"IP-130127","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":449301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2022v20iss1art3","text":"Publisher Index Page"},{"id":397305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.684326171875,\n              37.1165261849112\n            ],\n            [\n              -121.2,\n              37.1165261849112\n            ],\n            [\n              -121.2,\n              39.00211029922515\n            ],\n            [\n              -122.684326171875,\n              39.00211029922515\n            ],\n            [\n              -122.684326171875,\n              37.1165261849112\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Huntsman, Brock 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":223101,"corporation":false,"usgs":true,"family":"Huntsman","given":"Brock","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahardja, Brian 0000-0003-0695-3745","orcid":"https://orcid.org/0000-0003-0695-3745","contributorId":288940,"corporation":false,"usgs":false,"family":"Mahardja","given":"Brian","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":838467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bashevkin, Samuel M.","contributorId":288941,"corporation":false,"usgs":false,"family":"Bashevkin","given":"Samuel M.","affiliations":[{"id":61910,"text":"Delta Science Program, Delta Stewardship Council","active":true,"usgs":false}],"preferred":false,"id":838468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236887,"text":"70236887 - 2022 - Tuscaloosa Marine Shale, Gulf Coast Basin, Louisiana and Mississippi","interactions":[],"lastModifiedDate":"2022-09-21T14:21:39.4367","indexId":"70236887","displayToPublicDate":"2022-01-01T09:21:13","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Tuscaloosa Marine Shale, Gulf Coast Basin, Louisiana and Mississippi","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Energy and Minerals Division Tight Oil and Gas Committee: Activities and commodity report for 2020","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Lohr, C., 2022, Tuscaloosa Marine Shale, Gulf Coast Basin, Louisiana and Mississippi, 6 p.","productDescription":"6 p.","startPage":"72","endPage":"77","ipdsId":"IP-130732","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":407135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Mississippi","otherGeospatial":"Tuscaloosa marine shale","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.06494140625,\n              28.401064827220896\n            ],\n            [\n              -88.39599609375,\n              28.401064827220896\n            ],\n            [\n              -88.39599609375,\n              32.58384932565662\n            ],\n            [\n              -94.06494140625,\n              32.58384932565662\n            ],\n            [\n              -94.06494140625,\n              28.401064827220896\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":3866,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste D.","email":"clohr@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":852465,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70229656,"text":"70229656 - 2022 - San Francisco Estuary chlorophyll sensor and sample analysis intercomparison","interactions":[],"lastModifiedDate":"2022-03-11T15:26:53.094975","indexId":"70229656","displayToPublicDate":"2022-01-01T09:19:02","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":10383,"text":"Intercomparison Report","active":true,"publicationSubtype":{"id":3}},"title":"San Francisco Estuary chlorophyll sensor and sample analysis intercomparison","docAbstract":"<p>This report presents an assessment of chlorophyll collection methods and anonymous results of field and laboratory comparisons in 2018 - 2019 by agencies in the San Francisco Estuary (SFE). The methods assessment and comparison exercises, with funding provided by the Delta Regional Monitoring Program and Bay Nutrient Management Strategy and in-kind contributions from participating agencies, are a first step to facilitate future comparisons and syntheses of data and inform best science practices in the region. In situ sonde comparison exercises found general agreement between two models of Yellow Springs Instrument (YSI) sensors, but the newer sensor (EXO v2 - total algae) measured higher chlorophyll fluorescence (fCHL) relative to the older YSI sensor (6-series 6025). Results may be attributed to the use of a two-point calibration and the fluorescence response of algal cultures in sensor development by the manufacturer. The laboratory comparison included participation by 12 distinct field - laboratory pairs (or groups), with one group analyzing filters using two analytical methods. Filters were collected in triplicate across three sampling events in 2018, and all sample results were pooled together. Results of statistical analyses indicated that nominal filter pore size, the grinding method associated with pigment extraction, and analytical methods do not introduce variability to the chlorophyll-a measurement (Chl-a). When Chl-a results were assessed by sample event, however, significant differences between nominal pore size and analytical methods existed; these differences could be attributed to the small sample size per event. Consistent reporting units and high-concentration calibration standards for field sensors among data collection agencies would improve the consistency and comparability of data collected in the SFE. More routine split sampling events, longer term sensor comparison exercises, and further processing and analytical comparisons that control for individual filterers may also enhance comparability in the region. </p>","language":"English","publisher":"Delta Regional Monitoring Program","usgsCitation":"Stumpner, E.B., Yin, J.S., Heberger, M., Wu, J., Wong, A., and Saraceno, J., 2022, San Francisco Estuary chlorophyll sensor and sample analysis intercomparison: Intercomparison Report, 61 p.","productDescription":"61 p.","ipdsId":"IP-123558","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":397022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397021,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://deltarmp.org/documents/"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.67608642578126,\n              37.36579146999664\n            ],\n            [\n              -121.4,\n              37.36579146999664\n            ],\n            [\n              -121.4,\n              38.348118547988065\n            ],\n            [\n              -122.67608642578126,\n              38.348118547988065\n            ],\n            [\n              -122.67608642578126,\n              37.36579146999664\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stumpner, Elizabeth B. 0000-0003-2356-2244 estumpner@usgs.gov","orcid":"https://orcid.org/0000-0003-2356-2244","contributorId":181854,"corporation":false,"usgs":true,"family":"Stumpner","given":"Elizabeth","email":"estumpner@usgs.gov","middleInitial":"B.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yin, Jamie S.","contributorId":288390,"corporation":false,"usgs":false,"family":"Yin","given":"Jamie","email":"","middleInitial":"S.","affiliations":[{"id":61747,"text":"San Francisco Estuary Institute - Aquatic Science Center","active":true,"usgs":false}],"preferred":false,"id":837826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heberger, Matthew","contributorId":288391,"corporation":false,"usgs":false,"family":"Heberger","given":"Matthew","email":"","affiliations":[{"id":61747,"text":"San Francisco Estuary Institute - Aquatic Science Center","active":true,"usgs":false}],"preferred":false,"id":837827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Jing","contributorId":191126,"corporation":false,"usgs":false,"family":"Wu","given":"Jing","email":"","affiliations":[],"preferred":false,"id":837828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wong, Adam","contributorId":288392,"corporation":false,"usgs":false,"family":"Wong","given":"Adam","affiliations":[{"id":61747,"text":"San Francisco Estuary Institute - Aquatic Science Center","active":true,"usgs":false}],"preferred":false,"id":837829,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saraceno, John Franco 0000-0003-0064-1820","orcid":"https://orcid.org/0000-0003-0064-1820","contributorId":217534,"corporation":false,"usgs":false,"family":"Saraceno","given":"John Franco","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":837830,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237985,"text":"70237985 - 2022 - Whooping crane stay length in relation to stopover site characteristics","interactions":[],"lastModifiedDate":"2022-11-09T15:12:18.689229","indexId":"70237985","displayToPublicDate":"2022-01-01T08:59:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12807,"text":"Proceedings of the North American Crane Workshop","active":true,"publicationSubtype":{"id":10}},"title":"Whooping crane stay length in relation to stopover site characteristics","docAbstract":"<p>Whooping crane (<i>Grus americana</i>) migratory stopovers can vary in length from hours to more than a month. Stopover sites provide food resources and safety essential for the completion of migration. Factors such as weather, climate, demographics of migrating groups, and physiological condition of migrants influence migratory movements of cranes (Gruidae) to varying degrees. However, little research has examined the relationship between habitat characteristics and stopover stay length in cranes. Site quality may relate to stay length with longer stays that allow individuals to improve body condition, or with shorter stays because of increased foraging efficiency. We examined this question using habitat data collected at 605 use locations from 449 stopover sites throughout the United States Great Plains visited by 58 whooping cranes from the Aransas–Wood Buffalo Population tracked with platform transmitting terminals. Research staff compiled land cover (e.g., hectares of corn; landscape level) and habitat metric (e.g., maximum water depth; site level) data for day use and evening roost locations via site visits and geospatial mapping. We used Random Forest regression analyses to estimate importance of covariates for predicting stopover stay length. Site-level variables explained 9% of variation in stay length, whereas landscape-level variables explained 43%. Stay length increased with latitude and the proportion of land cover as open-water slough with emergent vegetation as well as alfalfa, whereas stay length decreased as open-water lacustrine wetland land cover increased. At the site-level, stopover duration increased with wetted width at riverine sites but decreased with wetted width at palustrine and lacustrine wetland sites. Stopover duration increased with mean distance to visual obstruction as well as where management had reduced the height of vegetation through natural (e.g., grazing) or mechanical (e.g., harvesting) means and decreased with maximum water depth. Our results suggest that stopover length increases with the availability of preferred land cover types for foraging. High quality stopover sites with abundant forage resources may help whooping cranes maintain fat reserves important to their annual life cycle.</p>","language":"English","publisher":"North American Crane Working Group","usgsCitation":"Caven, A.J., Pearse, A.T., Brandt, D.A., Harner, M.J., Wright, G.D., Baasch, D.M., Brinley Buckley, E.M., Metzger, K.L., Rabbe, M.R., and Lacy, A.E., 2022, Whooping crane stay length in relation to stopover site characteristics: Proceedings of the North American Crane Workshop, v. 15, p. 6-33.","productDescription":"28 p.","startPage":"6","endPage":"33","ipdsId":"IP-123212","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":409262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409261,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nacwg.org/proceedings15.html","linkFileType":{"id":5,"text":"html"}}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caven, Andrew J.","contributorId":177586,"corporation":false,"usgs":false,"family":"Caven","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":856431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":856432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, David A. 0000-0001-9786-307X dbrandt@usgs.gov","orcid":"https://orcid.org/0000-0001-9786-307X","contributorId":149929,"corporation":false,"usgs":true,"family":"Brandt","given":"David","email":"dbrandt@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":856433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harner, Mary J.","contributorId":177584,"corporation":false,"usgs":false,"family":"Harner","given":"Mary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":856434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, Greg D.","contributorId":177585,"corporation":false,"usgs":false,"family":"Wright","given":"Greg","email":"","middleInitial":"D.","affiliations":[{"id":12957,"text":"Chippewa Ottawa Resource Authority","active":true,"usgs":false}],"preferred":false,"id":856435,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baasch, David M.","contributorId":147145,"corporation":false,"usgs":false,"family":"Baasch","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16795,"text":"Headwaters Corp, Kearney, NE","active":true,"usgs":false}],"preferred":false,"id":856436,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brinley Buckley, Emma M.","contributorId":198370,"corporation":false,"usgs":false,"family":"Brinley Buckley","given":"Emma","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":856437,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Metzger, Kristine L.","contributorId":147144,"corporation":false,"usgs":false,"family":"Metzger","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":16794,"text":"USFWS, Div of Biol Serv, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":856438,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rabbe, Matthew R","contributorId":298794,"corporation":false,"usgs":false,"family":"Rabbe","given":"Matthew","email":"","middleInitial":"R","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":856439,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lacy, Anne E","contributorId":174362,"corporation":false,"usgs":false,"family":"Lacy","given":"Anne","email":"","middleInitial":"E","affiliations":[{"id":16606,"text":"International Crane Foundation","active":true,"usgs":false}],"preferred":false,"id":856440,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70228054,"text":"70228054 - 2022 - Maybe so, maybe not: Canis lepophagus at Hagerman Fossil Beds National Monument, Idaho, USA","interactions":[],"lastModifiedDate":"2022-05-13T14:43:14.343362","indexId":"70228054","displayToPublicDate":"2022-01-01T08:51:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5173,"text":"Journal of Mammalian Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Maybe so, maybe not: <i>Canis lepophagus</i> at Hagerman Fossil Beds National Monument, Idaho, USA","title":"Maybe so, maybe not: Canis lepophagus at Hagerman Fossil Beds National Monument, Idaho, USA","docAbstract":"<p><span>A canid dentary is described from the Pliocene Glenns Ferry Formation at Hagerman Fossil Beds National Monument, south-central Idaho, USA. The specimen possesses traits in alliance with and measurements falling within or exceeding those of&nbsp;</span><i>Canis lepophagus</i><span>. The dentary, along with a tarsal IV (cuboid) and an exploded canine come from the base of the fossiliferous Sahara complex within the monument. Improved geochronologic control provided by new tephrochronologic mapping by the U.S. Geological Survey-National Park Service Hagerman Paleontology, Environments, and Tephrochronology Project supports an interpolated age of approximately 3.9&nbsp;Ma, placing it in the early Blancan North American Land Mammal Age. It is conservatively referred to herein as&nbsp;</span><i>Canis</i><span>&nbsp;aff.&nbsp;</span><i>C</i><span>.&nbsp;</span><i>lepophagus</i><span>&nbsp;with the caveat that it is an early and robust example of that species. A smaller canid, initially assigned to&nbsp;</span><i>Canis lepophagus</i><span>&nbsp;and then to&nbsp;</span><i>Canis ferox</i><span>, is also known from Hagerman. Most specimens of&nbsp;</span><i>Canis ferox</i><span>, including the holotype, were recently reassigned to&nbsp;</span><i>Eucyon ferox</i><span>, but specimens from the Hagerman and Rexroad faunas were left as&nbsp;</span><i>Canis</i><span>&nbsp;sp. and possibly attributed to&nbsp;</span><i>C</i><span>.&nbsp;</span><i>lepophagus.</i><span>&nbsp;We agree that these smaller canids belong in&nbsp;</span><i>Canis</i><span>&nbsp;and not&nbsp;</span><i>Eucyon</i><span>&nbsp;but reject placing them within&nbsp;</span><i>C</i><span>.&nbsp;</span><i>lepophagus</i><span>; we refer to them here as Hagerman-Rexroad&nbsp;</span><i>Canis</i><span>. This study confirms the presence of two approximately coyote-sized canids at Hagerman and adds to the growing list of carnivorans now known from these fossil beds.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10914-021-09591-4","usgsCitation":"Prassack, K.A., and Walkup, L., 2022, Maybe so, maybe not: Canis lepophagus at Hagerman Fossil Beds National Monument, Idaho, USA: Journal of Mammalian Evolution, v. 292, p. 313-333, https://doi.org/10.1007/s10914-021-09591-4.","productDescription":"21 p.","startPage":"313","endPage":"333","ipdsId":"IP-125953","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449306,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10914-021-09591-4","text":"Publisher Index Page"},{"id":395346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Hagerman Fossil Beds National Monument","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.97055053710936,\n              42.748272769256154\n            ],\n            [\n              -114.90806579589842,\n              42.748272769256154\n            ],\n            [\n              -114.90806579589842,\n              42.836199025927385\n            ],\n            [\n              -114.97055053710936,\n              42.836199025927385\n            ],\n            [\n              -114.97055053710936,\n              42.748272769256154\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"292","noUsgsAuthors":false,"publicationDate":"2022-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Prassack, Kari A 0000-0001-8292-9531","orcid":"https://orcid.org/0000-0001-8292-9531","contributorId":274406,"corporation":false,"usgs":false,"family":"Prassack","given":"Kari","email":"","middleInitial":"A","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":832975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walkup, Laura 0000-0002-1962-5364","orcid":"https://orcid.org/0000-0002-1962-5364","contributorId":205009,"corporation":false,"usgs":true,"family":"Walkup","given":"Laura","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":832976,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70236686,"text":"70236686 - 2022 - Yellowstone grizzly bear investigations 2021: Annual report of the Interagency Grizzly Bear Study Team","interactions":[],"lastModifiedDate":"2024-03-28T13:54:03.450018","indexId":"70236686","displayToPublicDate":"2022-01-01T08:50:15","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Yellowstone grizzly bear investigations 2021: Annual report of the Interagency Grizzly Bear Study Team","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Interagency Grizzly Bear Committee","usgsCitation":"2022, Yellowstone grizzly bear investigations 2021: Annual report of the Interagency Grizzly Bear Study Team, vii; 123 p.","productDescription":"vii; 123 p.","ipdsId":"IP-144513","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science 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,{"id":70231346,"text":"70231346 - 2022 - Seismic site characterization with shear wave (SH) reflection and refraction methods","interactions":[],"lastModifiedDate":"2022-09-01T14:33:22.896544","indexId":"70231346","displayToPublicDate":"2022-01-01T08:44:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2453,"text":"Journal of Seismology","active":true,"publicationSubtype":{"id":10}},"title":"Seismic site characterization with shear wave (SH) reflection and refraction methods","docAbstract":"<p><span>Reflection and critically refracted seismic methods use traveltime measurements of body waves propagating between a source and a series of receivers on the ground surface to calculate subsurface velocities. Body wave energy is refracted or reflected at boundaries where there is a change in seismic impedance, defined as the product of material density and seismic velocity. This article provides practical guidance on the use of horizontally propagating shear wave (SH-wave) refraction and reflection methods to determine shear wave velocity as a function of depth for near-surface seismic site characterizations. Method principles and the current state of engineering practice are reviewed, along with discussions of limitations and uncertainty assessments. Typical data collection procedures are described using basic survey equipment, along with information on more advanced applications and emerging technologies. Eight case studies provide examples of the techniques in real-world seismic site characterizations performed in a variety of geological settings.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10950-021-10042-z","usgsCitation":"Hunter, J.A., Crow, H.L., Stephenson, W.J., Pugin, A.J., Williams, R., Harris, J.B., Odum, J.K., and Woolery, E.W., 2022, Seismic site characterization with shear wave (SH) reflection and refraction methods: Journal of Seismology, v. 26, p. 631-652, https://doi.org/10.1007/s10950-021-10042-z.","productDescription":"22 p.","startPage":"631","endPage":"652","ipdsId":"IP-130350","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":449309,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10950-021-10042-z","text":"Publisher Index Page"},{"id":400276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2022-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunter, James A.","contributorId":291430,"corporation":false,"usgs":false,"family":"Hunter","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":62701,"text":"Geological Survey of Canada, Ottawa, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":842341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crow, Heather L. 0000-0002-1575-0862","orcid":"https://orcid.org/0000-0002-1575-0862","contributorId":291431,"corporation":false,"usgs":false,"family":"Crow","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":62701,"text":"Geological Survey of Canada, Ottawa, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":842342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pugin, Andre J.-M.","contributorId":291432,"corporation":false,"usgs":false,"family":"Pugin","given":"Andre","email":"","middleInitial":"J.-M.","affiliations":[{"id":62701,"text":"Geological Survey of Canada, Ottawa, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":842344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Robert 0000-0002-2973-8493 rawilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":140741,"corporation":false,"usgs":true,"family":"Williams","given":"Robert","email":"rawilliams@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842345,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harris, James B. 0000-0003-1515-9025","orcid":"https://orcid.org/0000-0003-1515-9025","contributorId":291433,"corporation":false,"usgs":false,"family":"Harris","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":62704,"text":"Millsaps College, Department of Geosciences, Jackson, Mississippi, USA","active":true,"usgs":false}],"preferred":false,"id":842346,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Odum, Jackson K. 0000-0002-3162-0355 odum@usgs.gov","orcid":"https://orcid.org/0000-0002-3162-0355","contributorId":291434,"corporation":false,"usgs":true,"family":"Odum","given":"Jackson","email":"odum@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842347,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woolery, Edward W 0000-0003-3398-5830","orcid":"https://orcid.org/0000-0003-3398-5830","contributorId":192994,"corporation":false,"usgs":false,"family":"Woolery","given":"Edward","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":842348,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70227186,"text":"70227186 - 2022 - Evolution and taxonomy of the Paleogene calcareous nannofossil genus Hornibrookina","interactions":[],"lastModifiedDate":"2022-04-11T16:49:12.493524","indexId":"70227186","displayToPublicDate":"2022-01-01T08:42:42","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Evolution and taxonomy of the Paleogene calcareous nannofossil genus Hornibrookina","docAbstract":"<p><span>The genus Hornibrookina consists of enigmatic calcareous nannofossils that first appeared shortly after the K-Pg mass extinction. Due to their relative paucity in most published sections, specimens of this genus have not been previously studied in detail and their paleobiogeographic preferences and evolutionary history have been poorly understood. Biostratigraphic and morphometric analyses of Hornibrookina specimens from outcrops and cores from the Atlantic Ocean, the North Sea, the Southern Ocean, the Indian Ocean, North America, South America, Africa, and New Zealand resulted in a comprehensive and detailed documentation of this group of calcareous nannofossils. Biostratigraphic ranges for each species are refined and a hypothetical evolutionary lineage for this genus is proposed. Two new species (Hornibrookina gracila and Hornibrookina indistincta), two new combinations (Hornibrookina elegans and Hornibrookina australis arca) and one new subspecies (Hornibrookina australis australis) are described. Morphometric analyses prove that Hornibrookina edwardsii and Hornibrookina teuriensis are distinctly different species with biostratigraphically useful ranges. Hornibrookina apellanizii is shown to be invalid.</span></p>","language":"English","publisher":"Micropaleontology Press","doi":"10.47894/mpal.68.1.04","usgsCitation":"Self-Trail, J., Watkins, D.K., Pospichal, J.J., and Seefelt, E., 2022, Evolution and taxonomy of the Paleogene calcareous nannofossil genus Hornibrookina: Micropaleontology, v. 68, no. 1, p. 85-113, https://doi.org/10.47894/mpal.68.1.04.","productDescription":"29 p.","startPage":"85","endPage":"113","ipdsId":"IP-126381","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":393849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","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":830004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watkins, David K.","contributorId":270769,"corporation":false,"usgs":false,"family":"Watkins","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":830005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pospichal, James J.","contributorId":270770,"corporation":false,"usgs":false,"family":"Pospichal","given":"James","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":830006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seefelt, Ellen 0000-0001-6822-7402 eseefelt@usgs.gov","orcid":"https://orcid.org/0000-0001-6822-7402","contributorId":2953,"corporation":false,"usgs":true,"family":"Seefelt","given":"Ellen","email":"eseefelt@usgs.gov","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":830007,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70233204,"text":"70233204 - 2022 - Analysis of ocean dynamics during the impact of Hurricane Matthew using ocean-atmosphere coupling","interactions":[],"lastModifiedDate":"2024-09-25T15:54:28.499952","indexId":"70233204","displayToPublicDate":"2022-01-01T08:38:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11126,"text":"Cuban Journal of Meteorology (Revista Cubana de Meteorología)","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of ocean dynamics during the impact of Hurricane Matthew using ocean-atmosphere coupling","docAbstract":"The main goal of this investigation is to improve the understanding of ocean-atmosphere coupling during hurricanes. The present work involves the integration of the ocean-atmosphere coupled components of the Coupled Ocean-Atmosphere-Wave-Sediment Transport Modeling System in the Very Short Term Prediction System (SisPI). Three experiments are performed: First, using a dynamic sea surface temperature, consistent with the daily updated atmospheric model Weather Research and Forecast (SisPI); second, using the Regional Oceanic Modeling System and third, using a dynamic coupling between the atmospheric and the oceanic models. The coupled system improves the tracks of the hurricane simulations respect to the SisPI. The use of the oceanic model allows a more detailed representation of the sea surface temperature. Using the coupled model, a more precise diurnal cycle of the surface net heat fluxes is obtained.","language":"English","publisher":"Instituto de Meteorología de Cuba","doi":"2377/v28n1e05","usgsCitation":"Vazquez Proveyer, L., Sierra Lorenzo, M., Cruz Rodriguez, R.C., and Warner, J.C., 2022, Analysis of ocean dynamics during the impact of Hurricane Matthew using ocean-atmosphere coupling: Cuban Journal of Meteorology (Revista Cubana de Meteorología), v. 28, no. 1, e05, 11 p., https://doi.org/2377/v28n1e05.","productDescription":"e05, 11 p.","ipdsId":"IP-133711","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":404011,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cuba","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-82.26815,23.18861],[-81.40446,23.11727],[-80.61877,23.10598],[-79.67952,22.7653],[-79.28149,22.3992],[-78.34743,22.51217],[-77.9933,22.27719],[-77.14642,21.65785],[-76.52382,21.20682],[-76.19462,21.22057],[-75.59822,21.01662],[-75.67106,20.73509],[-74.9339,20.69391],[-74.17802,20.28463],[-74.29665,20.05038],[-74.96159,19.92344],[-75.63468,19.87377],[-76.32366,19.95289],[-77.75548,19.85548],[-77.08511,20.41335],[-77.49265,20.67311],[-78.13729,20.73995],[-78.48283,21.02861],[-78.71987,21.59811],[-79.285,21.55918],[-80.21748,21.82732],[-80.51753,22.03708],[-81.82094,22.19206],[-82.16999,22.38711],[-81.795,22.63696],[-82.7759,22.68815],[-83.49446,22.16852],[-83.9088,22.15457],[-84.05215,21.91058],[-84.54703,21.80123],[-84.97491,21.89603],[-84.44706,22.20495],[-84.23036,22.56575],[-83.77824,22.78812],[-83.26755,22.98304],[-82.51044,23.07875],[-82.26815,23.18861]]]},\"properties\":{\"name\":\"Cuba\"}}]}","volume":"28","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vazquez Proveyer, Liset","contributorId":293212,"corporation":false,"usgs":false,"family":"Vazquez Proveyer","given":"Liset","email":"","affiliations":[{"id":63246,"text":"Center for Atmospheric Physics, Institute of Meteorology, Casablanca, 10900, Havana, Cuba","active":true,"usgs":false}],"preferred":false,"id":846779,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sierra Lorenzo, Maibys","contributorId":293213,"corporation":false,"usgs":false,"family":"Sierra Lorenzo","given":"Maibys","email":"","affiliations":[{"id":63246,"text":"Center for Atmospheric Physics, Institute of Meteorology, Casablanca, 10900, Havana, Cuba","active":true,"usgs":false}],"preferred":false,"id":846780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cruz Rodriguez, Roberto Carlos","contributorId":293214,"corporation":false,"usgs":false,"family":"Cruz Rodriguez","given":"Roberto","email":"","middleInitial":"Carlos","affiliations":[{"id":63247,"text":"Department of Atmospheric Physics, National Autonomous University of Mexico, Av. Universidad 3000, 04510, DF, Mexico","active":true,"usgs":false}],"preferred":false,"id":846781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":846782,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227269,"text":"70227269 - 2022 - A novel gonadotropic microsporidian parasite (Microsporidium clinchi n. sp.) infecting a declining population of pheasantshell mussels (Actinonaias pectorosa) (Unioinidae) from the Clinch River, USA","interactions":[],"lastModifiedDate":"2022-01-25T17:41:40.847273","indexId":"70227269","displayToPublicDate":"2022-01-01T08:36:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9978,"text":"Parasitologia","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A novel gonadotropic microsporidian parasite (<i>Microsporidium clinchi</i> n. sp.) infecting a declining population of pheasantshell mussels (<i>Actinonaias pectorosa</i>) (Unioinidae) from the Clinch River, USA","title":"A novel gonadotropic microsporidian parasite (Microsporidium clinchi n. sp.) infecting a declining population of pheasantshell mussels (Actinonaias pectorosa) (Unioinidae) from the Clinch River, USA","docAbstract":"<p><span>Freshwater mussels of the order Unionida are among the most endangered animal groups globally, but the causes of their population decline are often enigmatic, with little known about the role of disease. In 2018, we collected wild adult pheasantshell (</span><i><span class=\"html-italic\">Actinonaias pectorosa</span></i><span>) and mucket (</span><i><span class=\"html-italic\">Actinonaias ligamentina</span></i><span>) during an epidemiologic survey investigating an ongoing mussel mass mortality event in the Clinch River, Virginia and Tennessee, USA. Histopathology and transmission electron microscopy showed a novel microsporidian parasite primarily infecting the ovary of pheasantshell. Sequencing of the small subunit rRNA gene produced a 1333 bp sequence with the greatest similarity to&nbsp;</span><i><span class=\"html-italic\">Pseudonosema cristatellae</span></i><span><i>&nbsp;</i>(AF484694.1; 86.36%; e-value = 0), a microsporidium infecting the freshwater bryozoan (</span><i><span class=\"html-italic\">Cristatella mucedo</span></i><span>). Microsporidia were observed in 65% (17/26) of the examined female pheasantshell (</span><i><span class=\"html-italic\">A. pectorosa</span></i><span>) and in no (0/2) female muckets (</span><i><span class=\"html-italic\">A. ligamentina</span></i><span>) and occurred at mortality and non-mortality sites. Our findings indicate that a novel parasite,&nbsp;</span><span class=\"html-italic\">Microsporidium clinchi</span><span>&nbsp;n. sp., is present in pheasantshell in the Clinch River, and while likely not a cause of mass mortality, could reduce fecundity and recruitment in this declining population and threaten the success of reintroductions. Surveillance of&nbsp;</span><i><span class=\"html-italic\">M. clinchi</span></i><span>&nbsp;n. sp. and evaluation of broodstock and their progeny for microsporidia would therefore be prudent.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/parasitologia2010001","usgsCitation":"Knowles, S., Leis, E.M., Richard, J.C., Cole, R.A., Agbalog, R.E., Putnam, J.G., Goldberg, T.L., and Waller, D.L., 2022, A novel gonadotropic microsporidian parasite (Microsporidium clinchi n. sp.) infecting a declining population of pheasantshell mussels (Actinonaias pectorosa) (Unioinidae) from the Clinch River, USA: Parasitologia, v. 2, no. 1, p. 1-12, https://doi.org/10.3390/parasitologia2010001.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-134520","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":449312,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/parasitologia2010001","text":"Publisher Index Page"},{"id":436019,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U4RYE1","text":"USGS data release","linkHelpText":"A Novel Gonadotropic Microsporidian Parasite (Microsporidium clinchi n. sp.) Infecting a Declining Population of Pheasantshell Mussels (Actinonaias pectorosa) (Unioinidae) from the Clinch River, USA"},{"id":393956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","otherGeospatial":"Clinch River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.0728759765625,\n              36.13565654678543\n            ],\n            [\n              -83.22143554687499,\n              36.38812384894608\n            ],\n            [\n              -82.58148193359375,\n              36.63536611993544\n            ],\n            [\n              -82.28759765625,\n              36.86204269508728\n            ],\n            [\n              -82.3974609375,\n              36.938916182818595\n            ],\n            [\n              -82.99346923828125,\n              36.657402895706404\n            ],\n            [\n              -83.1719970703125,\n              36.589068371399115\n            ],\n            [\n              -83.52081298828125,\n              36.474306755095235\n            ],\n            [\n              -83.98223876953125,\n              36.34167804918315\n            ],\n            [\n              -84.1607666015625,\n              36.29963177650553\n            ],\n            [\n              -84.0728759765625,\n              36.13565654678543\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":830219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leis, Eric M.","contributorId":187767,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":830220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richard, Jordan C. 0000-0002-9981-7832","orcid":"https://orcid.org/0000-0002-9981-7832","contributorId":270965,"corporation":false,"usgs":false,"family":"Richard","given":"Jordan","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":830221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":830222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agbalog, Rose E. 0000-0003-0923-9782","orcid":"https://orcid.org/0000-0003-0923-9782","contributorId":270966,"corporation":false,"usgs":false,"family":"Agbalog","given":"Rose","email":"","middleInitial":"E.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":830223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Putnam, Joel G. 0000-0002-5464-4587 jgputnam@usgs.gov","orcid":"https://orcid.org/0000-0002-5464-4587","contributorId":5783,"corporation":false,"usgs":true,"family":"Putnam","given":"Joel","email":"jgputnam@usgs.gov","middleInitial":"G.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":830224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goldberg, Tony L. 0000-0003-3962-4913","orcid":"https://orcid.org/0000-0003-3962-4913","contributorId":244765,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","email":"","middleInitial":"L.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":830225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":830226,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70240640,"text":"70240640 - 2022 - Lake trout (Salvelinus namaycush) rehabilitation in Lake Ontario, 2021","interactions":[],"lastModifiedDate":"2023-05-09T14:49:31.894488","indexId":"70240640","displayToPublicDate":"2022-01-01T08:28:26","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"displayTitle":"Lake trout (<i>Salvelinus namaycush</i>) rehabilitation in Lake Ontario, 2021","title":"Lake trout (Salvelinus namaycush) rehabilitation in Lake Ontario, 2021","docAbstract":"<p>Each year we report on the progress toward rehabilitation of the Lake Ontario lake trout (<i>Salvelinus namaycush</i>) population, including the results of stocking, annual assessment surveys, creel surveys, and evidence of natural reproduction observed from standard surveys performed by U.S. Geological Survey (USGS) and New York State Department of Environmental Conservation (NYSDEC). The catch per unit effort (CPUE) of adult lake trout in gill nets increased each year from 2008-2014, recovering from historic lows recorded during 2005-2007. Adult abundances declined each year from 2015 to 2017; and in 2017 were about 35% below the 2014 peak and 17% below the 1999-2004 mean. Adult abundance increased in 2018 by 51% over the 2017 value and remained nearly stable between 2018 and 2021. The 2020 rate of wounding by sea lamprey (<i>Petromyzon marinus</i>) on lake trout caught in gill nets was 1.68 A1 wounds (fresh wound) per 100 lake trout and was near target (2 wounds per 100 lake trout). Condition values for adult lake trout, indexed in September from the predicted weight for a 700 mm lake trout from annual length-weight regressions and Fulton’s K for age-6 males, were among the highest levels observed for the 1983-2021 time series. Reproductive potential for the adult stock indexed from the CPUE of mature females ≥ 4000 g was again above the target in 2021 continuing a trend observed in ten of the last eleven years. The 2021 catch of young wild lake trout marked the 27th observation in the last 28 years, however only two sites off the mouth of the Niagara River were surveyed.</p>","language":"English","publisher":"New York State Department of Environmental Conservation","usgsCitation":"Lantry, B.F., Weidel, B., Minihkeim, S.P., Connerton, M., Goretzke, J.A., Gorsky, D., and Osborne, C., 2022, Lake trout (Salvelinus namaycush) rehabilitation in Lake Ontario, 2021: NYSDEC Lake Ontario Annual Report , 19 p.","productDescription":"19 p.","startPage":"5-1","endPage":"5-19","ipdsId":"IP-138986","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":412944,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416860,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.dec.ny.gov/outdoor/7969.html","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United 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Center","active":true,"usgs":true}],"preferred":true,"id":864068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":864069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minihkeim, Scott P. 0000-0003-4958-2462","orcid":"https://orcid.org/0000-0003-4958-2462","contributorId":265808,"corporation":false,"usgs":true,"family":"Minihkeim","given":"Scott","email":"","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":864070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Connerton, Michael 0000-0001-5400-4347","orcid":"https://orcid.org/0000-0001-5400-4347","contributorId":302344,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":864072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goretzke, Jessica A 0000-0003-2504-3712","orcid":"https://orcid.org/0000-0003-2504-3712","contributorId":302058,"corporation":false,"usgs":false,"family":"Goretzke","given":"Jessica","email":"","middleInitial":"A","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":864071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gorsky, Dimitry 0000-0003-1708-539X","orcid":"https://orcid.org/0000-0003-1708-539X","contributorId":295528,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":864073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osborne, Christopher","contributorId":251652,"corporation":false,"usgs":false,"family":"Osborne","given":"Christopher","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":864074,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70230305,"text":"70230305 - 2022 - Caretta caretta (Loggerhead Sea Turtle) nesting exchange","interactions":[],"lastModifiedDate":"2022-04-07T13:32:18.48214","indexId":"70230305","displayToPublicDate":"2022-01-01T08:27:03","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>Caretta caretta</i> (Loggerhead Sea Turtle) nesting exchange","title":"Caretta caretta (Loggerhead Sea Turtle) nesting exchange","docAbstract":"<p>The Northwest Atlantic population of Loggerhead Sea Turtles (<i>Caretta caretta</i>) is one of the largest <i>C. caretta</i> populations in the world and is listed as threatened. This population was divided into five genetically distinct subpopulations, including the Northern Gulf of Mexico (NGoM) subpopulation (Shamblin et al. 2017 Mar. Bio. 164:138). Across the NGoM, the majority of <i>C. caretta</i> nesting occurs in Franklin and Gulf Counties, Florida, USA (Florida Fish and Wildlife Conservation Commission, https://myfwc.com/research/wildlife/sea-turtles/nesting/nesting-atlas/). Few <i>C. caretta</i> nests are documented on Texas, USA, beaches and as such, less is known about the individuals that nest in Texas (see Shaver et al. 2020 Front. Mar. Sci. 7:1, Frandsen et al. 2020 Herp. Review 51:825) as compared to those that nest on beaches in the eastern part of the range (Lamont et al. 2014 Mar. Bio. 161:2659). Although <i>C. caretta</i> individuals have been tracked to Texas from nesting beaches throughout the Southeastern USA (Hart et al. 2014, PLoS One, 9), movements of <i>C. caretta</i> away from Texas beaches are rare. Here we detail the exchange of an adult female <i>C. caretta</i> that emerged and was tagged on the beach in Texas and then subsequently documented nesting in Northwest Florida.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Lamont, M., Walker, J.S., and Shaver, D.J., 2022, Caretta caretta (Loggerhead Sea Turtle) nesting exchange: Herpetological Review, v. 52, no. 3, p. 626-627.","productDescription":"2 p.","startPage":"626","endPage":"627","ipdsId":"IP-128942","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":398308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.086181640625,\n              26.15543796871355\n            ],\n            [\n              -97.31689453125,\n              27.21555620902969\n            ],\n            [\n              -96.207275390625,\n              28.372068829631633\n            ],\n            [\n              -94.6142578125,\n              29.334298230315675\n            ],\n            [\n              -93.85620117187499,\n              29.69759650228319\n            ],\n            [\n              -94.22973632812499,\n              29.897805610155874\n            ],\n            [\n              -95.020751953125,\n              29.850173125689896\n            ],\n            [\n              -95.44921875,\n              29.152161283318915\n            ],\n            [\n              -96.45996093749999,\n              28.76765910569123\n            ],\n            [\n              -97.03125,\n              28.38173504322308\n            ],\n            [\n              -97.72338867187499,\n              27.332735136859146\n            ],\n            [\n              -97.503662109375,\n              26.086388149394875\n            ],\n            [\n              -97.086181640625,\n              26.15543796871355\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206817,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Jennifer S.","contributorId":289853,"corporation":false,"usgs":false,"family":"Walker","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":839928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaver, Donna J.","contributorId":191186,"corporation":false,"usgs":false,"family":"Shaver","given":"Donna","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":839929,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236142,"text":"70236142 - 2022 - Extensive droughts in the conterminous United States during multiple centuries","interactions":[],"lastModifiedDate":"2022-08-30T13:12:56.867999","indexId":"70236142","displayToPublicDate":"2022-01-01T08:09:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1421,"text":"Earth Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Extensive droughts in the conterminous United States during multiple centuries","docAbstract":"<p><span>Extensive and severe droughts have substantial effects on water supplies, agriculture, and aquatic ecosystems. To better understand these droughts, we used tree-ring-based reconstructions of the Palmer drought severity index (PDSI) for the period 1475–2017 to examine droughts that covered at least 33% of the conterminous United States (CONUS). We identified 37 spatially extensive drought events for the CONUS and examined their spatial and temporal patterns. The duration of the extensive drought events ranged from 3 to 12 yr and on average affected 43% of the CONUS. The recent (2000–08) drought in the southwestern CONUS, often referred to as the turn-of-the-century drought, is likely one of the longest droughts in the CONUS during the past 500 years. A principal components analysis of the PDSI data from 1475 through 2017 resulted in three principal components (PCs) that explain about 48% of the variability of PDSI and are helpful to understand the temporal and spatial variability of the 37 extensive droughts in the CONUS. Analyses of the relations between the three PCs and well-known climate indices, such as indices of El Niño–Southern Oscillation, indicate statistically significant correlations; however, the correlations do not appear to be large enough (all with an absolute value less than 0.45) to be useful for the development of drought prediction models.</span></p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/EI-D-21-0021.1","usgsCitation":"McCabe, G.J., and Wolock, D.M., 2022, Extensive droughts in the conterminous United States during multiple centuries: Earth Interactions, v. 26, no. 1, p. 84-93, https://doi.org/10.1175/EI-D-21-0021.1.","productDescription":"10 p.","startPage":"84","endPage":"93","ipdsId":"IP-130027","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":449314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/ei-d-21-0021.1","text":"Publisher Index Page"},{"id":405896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous 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   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]\n}","volume":"26","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":850242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":850243,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70239121,"text":"70239121 - 2022 - Observations on Whooping Crane parental provisioning of chicks","interactions":[],"lastModifiedDate":"2022-12-28T13:26:07.711212","indexId":"70239121","displayToPublicDate":"2022-01-01T07:19:48","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Observations on Whooping Crane parental provisioning of chicks","docAbstract":"<p><span>Crane chicks are dependent on parent birds for provisioning during the first few months of life, but no study has examined this provisioning in detail. In 2014 research staff at the U.S. Geological Survey, Eastern Ecological Science Center (formerly Patuxent Wildlife Research Center), in Laurel, Maryland, made multiple observations of parent whooping cranes (</span><i>Grus</i><span>&nbsp;</span><i>americana</i><span>) feeding or interacting with their chick during the 3 months from hatching to fledging. Both parents participated in the feeding of the chick and only 1 chick was raised by each pair of parent whooping cranes. Initially feeding frequency was low (0-20 times per hr), but as the chick absorbed its yolk sac and required food, feeding frequency increased to a high of 105 times per hour. Whooping crane parents fed their chick from 0 to 105 times per hour. Feeding frequency peaked around day 19, then decreased after the chicks reached 40 days of age but continued at a low level during the entire 3 months from hatch to fledging. Because feeding frequency observed for this study was very low at fledging, the use of feeding by alloparents as a measure of chick-alloparent bond may not be practical.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the North American crane workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"15th North American Crane Workshop","conferenceDate":"January 8-11, 2020","conferenceLocation":"Lubbock TX","language":"English","publisher":"North American Crane Working Group","usgsCitation":"Olsen, G.H., 2022, Observations on Whooping Crane parental provisioning of chicks, <i>in</i> Proceedings of the North American crane workshop, v. 15, Lubbock TX, January 8-11, 2020, p. 123-127.","productDescription":"5 p.","startPage":"123","endPage":"127","ipdsId":"IP-128271","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":411114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":411111,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nacwg.org/publications.html","linkFileType":{"id":5,"text":"html"}}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Olsen, Glenn H. 0000-0002-7188-6203","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":238130,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":860254,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70234293,"text":"70234293 - 2022 - An assessment of uncertainties in VS profiles obtained from microtremor observations in the phased 2018 COSMOS blind trials","interactions":[],"lastModifiedDate":"2022-09-01T14:54:40.235385","indexId":"70234293","displayToPublicDate":"2022-01-01T06:17:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of uncertainties in VS profiles obtained from microtremor observations in the phased 2018 COSMOS blind trials","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Site response is a critical consideration when assessing earthquake hazards. Site characterization is key to understanding site effects as influenced by seismic site conditions of the local geology. Thus, a number of geophysical site characterization methods were developed to meet the demand for accurate and cost-effective results. As a consequence, a number of studies have been administered periodically as blind trials to evaluate the state-of-practice on-site characterization. We present results from the Consortium of Organizations for Strong Motion Observation Systems (COSMOS) blind trials, which used data recorded from surface-based microtremor array methods (MAM) at four sites where geomorphic conditions vary from deep alluvial basins to an alpine valley. Thirty-four invited analysts participated. Data were incrementally released to 17 available analysts who participated in all four phases: (1) two-station arrays, (2) sparse triangular arrays, (3) complex nested triangular or circular arrays, and (4) all available geological control site information including drill hole data. Another set of 17 analysts provided results from two sites and two phases only. Although data from one site consisted of recordings from three-component sensors, the other three sites consisted of data recorded only by vertical-component sensors. The sites cover a range of noise source distributions, ranging from one site with a highly directional microtremor wave field to others with omni-directional (azimuthally distributed) wave fields. We review results from different processing techniques (e.g., beam-forming, spatial autocorrelation, cross-correlation, or seismic interferometry) applied by the analysts and compare the effectiveness between the differing wave field distributions. We define the<span>&nbsp;</span><i>M</i><span>&nbsp;</span>index as a quality index based on estimates of the time-averaged shear-wave velocity of the upper 10 (<i>V</i><sub>S10</sub>), 30 (<i>V</i><sub>S30</sub>), 100 (<i>V</i><sub>S100</sub>), and 300 (<i>V</i><sub>S300</sub>) meters and show its usefulness in quantitative comparisons of<span>&nbsp;</span><i>V</i><sub>S</sub><span>&nbsp;</span>profiles from multiple analysts. Our findings are expected to aid in building an evidence-based consensus on preferred cost-effective arrays and processing methodology for future studies of seismic site effects.</p></div></div><div id=\"Sec1-section\" class=\"c-article-section\"><br></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1007/s10950-021-10059-4","usgsCitation":"Asten, M.W., Yong, A., Foti, S., Hayashi, K., Martin, A.J., Stephenson, W.J., Cassidy, J.F., Coleman, J., Nigbor, R.L., Castellaro, S., Chimoto, K., Cho, I., Cornou, C., Hayashida, T., Hobiger, M., Kuo, C., Macau, A., Mercerat, E.D., Molnar, S., Pananont, P., Pilz, M., Poovarodom, N., Saez, E., Wathelet, M., Yamanaka, H., Yokoi, T., and Zhao, D., 2022, An assessment of uncertainties in VS profiles obtained from microtremor observations in the phased 2018 COSMOS blind trials: Seismological Research Letters, v. 26, p. 757-780, https://doi.org/10.1007/s10950-021-10059-4.","productDescription":"24 p.","startPage":"757","endPage":"780","ipdsId":"IP-124186","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":449315,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10950-021-10059-4","text":"Publisher Index Page"},{"id":404907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2022-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Asten, Michael W.","contributorId":184065,"corporation":false,"usgs":false,"family":"Asten","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":848459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yong, Alan 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Diego","contributorId":294634,"corporation":false,"usgs":false,"family":"Mercerat","given":"E.","email":"","middleInitial":"Diego","affiliations":[{"id":63614,"text":"Cerema Méditerrannée","active":true,"usgs":false}],"preferred":false,"id":848476,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Molnar, Sheri","contributorId":175492,"corporation":false,"usgs":false,"family":"Molnar","given":"Sheri","email":"","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":848477,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Pananont, Passakorn","contributorId":294635,"corporation":false,"usgs":false,"family":"Pananont","given":"Passakorn","email":"","affiliations":[{"id":63615,"text":"Kasetsart University","active":true,"usgs":false}],"preferred":false,"id":848478,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Pilz, Marco","contributorId":264169,"corporation":false,"usgs":false,"family":"Pilz","given":"Marco","email":"","affiliations":[],"preferred":false,"id":848479,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Poovarodom, Nakhorn","contributorId":294636,"corporation":false,"usgs":false,"family":"Poovarodom","given":"Nakhorn","email":"","affiliations":[{"id":63616,"text":"Thammasat University","active":true,"usgs":false}],"preferred":false,"id":848480,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Saez, Esteban","contributorId":294637,"corporation":false,"usgs":false,"family":"Saez","given":"Esteban","email":"","affiliations":[{"id":37959,"text":"Pontificia Universidad Católica de Chile","active":true,"usgs":false}],"preferred":false,"id":848481,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Wathelet, Marc","contributorId":294638,"corporation":false,"usgs":false,"family":"Wathelet","given":"Marc","email":"","affiliations":[{"id":63617,"text":"Université Savoie Mont Blanc","active":true,"usgs":false}],"preferred":false,"id":848482,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Yamanaka, Hiroaki","contributorId":291437,"corporation":false,"usgs":false,"family":"Yamanaka","given":"Hiroaki","email":"","affiliations":[{"id":62709,"text":"Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","active":true,"usgs":false}],"preferred":false,"id":848483,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Yokoi, Toshiaki","contributorId":294639,"corporation":false,"usgs":false,"family":"Yokoi","given":"Toshiaki","email":"","affiliations":[{"id":63618,"text":"Engineering, Building Research Institute, Japan","active":true,"usgs":false}],"preferred":false,"id":848484,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Zhao, Don","contributorId":294640,"corporation":false,"usgs":false,"family":"Zhao","given":"Don","affiliations":[{"id":63619,"text":"Geogiga Technology Corp.","active":true,"usgs":false}],"preferred":false,"id":848485,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}}
,{"id":70225504,"text":"70225504 - 2022 - Impact of spectral resolution on quantifying cyanobacteria in lakes and reservoirs: A machine-learning assessment","interactions":[],"lastModifiedDate":"2024-05-17T17:00:12.08779","indexId":"70225504","displayToPublicDate":"2022-01-01T05:55:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9530,"text":"IEEE Transactions in Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Impact of spectral resolution on quantifying cyanobacteria in lakes and reservoirs: A machine-learning assessment","docAbstract":"<p><span>Cyanobacterial harmful algal blooms are an increasing threat to coastal and inland waters. These blooms can be detected using optical radiometers due to the presence of phycocyanin (PC) pigments. The spectral resolution of best-available multispectral sensors limits their ability to diagnostically detect PC in the presence of other photosynthetic pigments. To assess the role of spectral resolution in the determination of PC, a large (N = 905) database of colocated in situ radiometric spectra and PC are employed. We first examine the performance of selected widely used machine-learning (ML) models against that of benchmark algorithms for hyperspectral remote sensing reflectance (&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"msubsup\"><span id=\"MathJax-Span-4\" class=\"mi\">R</span><span id=\"MathJax-Span-5\" class=\"texatom\"><span id=\"MathJax-Span-6\" class=\"mrow\"><span id=\"MathJax-Span-7\" class=\"texatom\"><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mi\">r</span><span id=\"MathJax-Span-10\" class=\"mi\">s</span></span></span></span></span></span><span id=\"MathJax-Span-11\" class=\"mo\">)</span></span></span></span></span><span>&nbsp;spectra resampled to the spectral configuration of the Hyperspectral Imager for the Coastal Ocean (HICO) with a full-width at half-maximum (FWHM) of &lt; 6 nm. Results show that the multilayer perceptron (MLP) neural network applied to HICO spectral configurations (median errors &lt; 65%) outperforms other ML models. This model is subsequently applied to&nbsp;</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\"><span id=\"MathJax-Span-12\" class=\"math\"><span><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"msubsup\"><span id=\"MathJax-Span-15\" class=\"mi\">R</span><span id=\"MathJax-Span-16\" class=\"texatom\"><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"texatom\"><span id=\"MathJax-Span-19\" class=\"mrow\"><span id=\"MathJax-Span-20\" class=\"mi\">r</span><span id=\"MathJax-Span-21\" class=\"mi\">s</span></span></span></span></span></span></span></span></span></span><span>&nbsp;spectra resampled to the band configuration of existing satellite instruments and of the one proposed for the next Landsat sensor. These results confirm that employing MLP models to estimate PC from hyperspectral data delivers tangible improvements compared with retrievals from multispectral data and benchmark algorithms (with median errors between ~73% and 126%) and shows promise for developing a globally applicable cyanobacteria measurement approach.</span></p>","language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2021.3114635","usgsCitation":"Zolfaghari, K., Pahlevan, N., Binding, C., Gurlin, D., Simis, S.G., Verdu, A.R., Li, L., Crawford, C., VanderWoude, A., Errera, R., Zastepa, A., and Duguay, C.R., 2022, Impact of spectral resolution on quantifying cyanobacteria in lakes and reservoirs: A machine-learning assessment: IEEE Transactions in Geoscience and Remote Sensing, v. 60, 5515520, 20 p., https://doi.org/10.1109/TGRS.2021.3114635.","productDescription":"5515520, 20 p.","ipdsId":"IP-132686","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":449319,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/tgrs.2021.3114635","text":"Publisher Index Page"},{"id":390590,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zolfaghari, Kiana","contributorId":267804,"corporation":false,"usgs":false,"family":"Zolfaghari","given":"Kiana","email":"","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":825333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pahlevan, Nima","contributorId":267805,"corporation":false,"usgs":false,"family":"Pahlevan","given":"Nima","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":825334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Binding, Caren","contributorId":267806,"corporation":false,"usgs":false,"family":"Binding","given":"Caren","affiliations":[],"preferred":false,"id":825335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gurlin, Daniela","contributorId":267807,"corporation":false,"usgs":false,"family":"Gurlin","given":"Daniela","email":"","affiliations":[],"preferred":false,"id":825336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simis, Stefan G.H.","contributorId":267808,"corporation":false,"usgs":false,"family":"Simis","given":"Stefan","email":"","middleInitial":"G.H.","affiliations":[],"preferred":false,"id":825337,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Verdu, Antonio Ruiz","contributorId":267809,"corporation":false,"usgs":false,"family":"Verdu","given":"Antonio","email":"","middleInitial":"Ruiz","affiliations":[],"preferred":false,"id":825338,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Lin","contributorId":267810,"corporation":false,"usgs":false,"family":"Li","given":"Lin","email":"","affiliations":[],"preferred":false,"id":825339,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":825340,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"VanderWoude, Andrea","contributorId":267811,"corporation":false,"usgs":false,"family":"VanderWoude","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":825341,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Errera, Reagan","contributorId":267812,"corporation":false,"usgs":false,"family":"Errera","given":"Reagan","email":"","affiliations":[],"preferred":false,"id":825342,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zastepa, Arthur","contributorId":267813,"corporation":false,"usgs":false,"family":"Zastepa","given":"Arthur","email":"","affiliations":[],"preferred":false,"id":825343,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Duguay, Claude R.","contributorId":267814,"corporation":false,"usgs":false,"family":"Duguay","given":"Claude","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":825344,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70262180,"text":"70262180 - 2022 - Characteristics of day-roosts used by the Northern Long-eared Bat (Myotis septentrionalis) in coastal New York","interactions":[],"lastModifiedDate":"2025-01-15T17:28:12.077821","indexId":"70262180","displayToPublicDate":"2022-01-01T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics of day-roosts used by the Northern Long-eared Bat (Myotis septentrionalis) in coastal New York","docAbstract":"<p><span>In North America,&nbsp;</span><i>Myotis septentrionalis</i><span>&nbsp;(Northern Long-eared Bat) has experienced precipitous declines from white-nose syndrome. As these bats become rare and difficult to capture, additional day-roost assessments to inform management may fill gaps in our understanding, particularly in habitats and regions where such roosts have never been surveyed. Over 2 summers, we radio-tracked 16 individuals from a maternity colony on Long Island, NY, in a small forested patch surrounded by development and ocean. These bats disproportionately selected small, suppressed&nbsp;</span><i>Robinia pseudoacacia</i><span>&nbsp;(Black Locust) trees or snags for roosting. Generally, roosts occurred within the interior or edges of this forest patch, rather than surrounding suburbia, reinforcing the hypothesis that Northern Long-eared Bats are forest adapted. Our study shows even small tracts of forest in coastal, urban areas may have conservation value in providing day-roost and foraging habitat.</span></p>","language":"English","publisher":"BioOne","doi":"10.1656/045.029.0201","usgsCitation":"Gorman, K., Barr, E., Nocera, T., and Ford, W., 2022, Characteristics of day-roosts used by the Northern Long-eared Bat (Myotis septentrionalis) in coastal New York: Northeastern Naturalist, v. 29, no. 2, p. 153-170, https://doi.org/10.1656/045.029.0201.","productDescription":"18 p.","startPage":"153","endPage":"170","ipdsId":"IP-136323","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467208,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/115419","text":"External Repository"},{"id":466440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"William Floyd Estate","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -72.72251752158608,\n              40.84983594633641\n            ],\n            [\n              -72.72251752158608,\n              40.79368888019977\n            ],\n            [\n              -72.58103774780037,\n              40.79368888019977\n            ],\n            [\n              -72.58103774780037,\n              40.84983594633641\n            ],\n            [\n              -72.72251752158608,\n              40.84983594633641\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"29","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gorman, Katherine M.","contributorId":348338,"corporation":false,"usgs":false,"family":"Gorman","given":"Katherine M.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":923374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barr, Elaine L.","contributorId":348339,"corporation":false,"usgs":false,"family":"Barr","given":"Elaine L.","affiliations":[{"id":83337,"text":"Ohio River Islands National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":923375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nocera, Tomas","contributorId":348341,"corporation":false,"usgs":false,"family":"Nocera","given":"Tomas","affiliations":[{"id":83338,"text":"U.S. Army Garrison Fort Belvoir","active":true,"usgs":false}],"preferred":false,"id":923376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":923377,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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