{"pageNumber":"46","pageRowStart":"1125","pageSize":"25","recordCount":11004,"records":[{"id":70227631,"text":"70227631 - 2021 - Kittlitz’s murrelet seasonal distribution and post-breeding migration from the Gulf of Alaska to the Arctic Ocean","interactions":[],"lastModifiedDate":"2022-01-21T12:48:30.213593","indexId":"70227631","displayToPublicDate":"2021-12-30T06:43:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":894,"text":"Arctic","active":true,"publicationSubtype":{"id":10}},"title":"Kittlitz’s murrelet seasonal distribution and post-breeding migration from the Gulf of Alaska to the Arctic Ocean","docAbstract":"<div class=\"main_entry\"><p>Kittlitz’s Murrelets (<i>Brachyramphus brevirostris</i>) nest during summer in glaciated or recently deglaciated (post-Wisconsin) landscapes. They forage in adjacent marine waters, especially those influenced by glacial meltwater. Little is known of their movements and distribution outside the breeding season. To identify post-breeding migrations of murrelets, we attached satellite transmitters to birds (n = 47) captured at sea in the Gulf of Alaska and Aleutian Islands during May – July 2009 – 15 and tracked 27 birds that migrated from capture areas. Post-breeding murrelets migrated toward the Bering Sea, with short periods of movement (median 2 d) separated by short stopovers (median 1 d). Travel speeds averaged 79.4 km d-1 (83.5 SD, 449.1 maximum). Five Kittlitz’s Murrelets tagged in Prince William Sound in May migrated to the Bering Sea by August and four continued north to the Arctic Ocean, logging 2500 – 4000 km of travel. Many birds spent 2‒3 weeks with little movement along coasts of the Alaska Peninsula or eastern Bering Sea during late August through September, also the pre-basic molt period. Ship-based surveys, many of which were conducted concurrently with our telemetry studies, confirmed that substantial numbers of Kittlitz’s Murrelets migrate into the Arctic Ocean during autumn. They also revealed that some birds spend winter and spring in the Bering Sea in association with ice-edge, polynya, or marginal ice zone habitats before returning to summer breeding grounds. We conclude that this species is best characterized as a sub-Arctic and Arctic species, which has implications for future risk assessments and threat mitigation.</p></div>","language":"English","publisher":"University of Calgary","doi":"10.14430/arctic73992","usgsCitation":"Piatt, J., Douglas, D.C., Arimitsu, M.L., Kissling, M., Madison, E., Schoen, S.K., Kuletz, K.J., and Drew, G.S., 2021, Kittlitz’s murrelet seasonal distribution and post-breeding migration from the Gulf of Alaska to the Arctic Ocean: Arctic, v. 74, no. 4, p. 482-495, https://doi.org/10.14430/arctic73992.","productDescription":"14 p.","startPage":"482","endPage":"495","ipdsId":"IP-123366","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":449973,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14430/arctic73992","text":"Publisher Index Page"},{"id":436082,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MMVP9I","text":"USGS data release","linkHelpText":"Tracking Data for Kittlitz's Murrelet (Brachyramphus brevirostris)"},{"id":394646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.75390624999997,\n              71.18775391813158\n            ],\n            [\n              -157.5,\n              71.74643171904148\n            ],\n            [\n              -165.05859375,\n              69.90011762668541\n            ],\n            [\n              -167.6953125,\n              68.13885164925573\n            ],\n            [\n              -168.046875,\n              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ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":831426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":831427,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kissling, Michelle","contributorId":222160,"corporation":false,"usgs":false,"family":"Kissling","given":"Michelle","affiliations":[{"id":40501,"text":"U.S. Fish and Wildlife Service, Marine Mammals Management, 3000 Vintage Blvd., Suite 201, Juneau, AK 99801","active":true,"usgs":false}],"preferred":false,"id":831430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Madison, Erica N.","contributorId":203208,"corporation":false,"usgs":false,"family":"Madison","given":"Erica N.","affiliations":[{"id":36581,"text":"former USGS ASC MFEB employee","active":true,"usgs":false}],"preferred":false,"id":831428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schoen, Sarah K. 0000-0002-5685-5185 sschoen@usgs.gov","orcid":"https://orcid.org/0000-0002-5685-5185","contributorId":5136,"corporation":false,"usgs":true,"family":"Schoen","given":"Sarah","email":"sschoen@usgs.gov","middleInitial":"K.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":831429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kuletz, Kathy J.","contributorId":257535,"corporation":false,"usgs":false,"family":"Kuletz","given":"Kathy","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":831431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drew, Gary S. 0000-0002-6789-0891 gdrew@usgs.gov","orcid":"https://orcid.org/0000-0002-6789-0891","contributorId":3311,"corporation":false,"usgs":true,"family":"Drew","given":"Gary","email":"gdrew@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":831432,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70227034,"text":"ofr20211113 - 2021 - Stratigraphy and age of a prominent paleosol in a late Pleistocene sedimentary sequence, Mason Neck, Virginia","interactions":[],"lastModifiedDate":"2022-01-03T15:25:50.982862","indexId":"ofr20211113","displayToPublicDate":"2021-12-29T13:52:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1113","displayTitle":"Stratigraphy and Age of a Prominent Paleosol in a Late Pleistocene Sedimentary Sequence, Mason Neck, Virginia","title":"Stratigraphy and age of a prominent paleosol in a late Pleistocene sedimentary sequence, Mason Neck, Virginia","docAbstract":"<p>The High Point paleosol is 2.28-meters-thick aggradational soil developed in fining upward estuarine-alluvial sand and loess. The paleosol is exposed in a few shoreline cliff faces of Mason Neck, Virginia. Although a former A horizon is missing, the E, Bw, Bt, and C horizon sequence seen in the sediments indicates subaerial pedogenesis. Pedogenesis began with initial estuarine-alluvial floodplain emergence as sea level was lowering in late marine isotope stage 5 (MIS5) and MIS4, continued during eolian silt deposition accompanied by incorporation of the silt into the estuarine-alluvial sand, and ended with a period of loess and eolian sand deposition, erosion, and development of periglacial(?) features. Six optically stimulated luminescence ages provide an age range from 86 to 56 ka (thousand years ago) for sedimentary units below and above the paleosol. These ages indicate a 10,000- to 30,000-year interval in late MIS5 and MIS4 for these events to have occurred.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211113","usgsCitation":"Markewich, H.W., Wysocki, D.A., Pavich, M.J., Smoot, J.P., and Litwin, R.J., 2021, Stratigraphy and age of a prominent paleosol in a late Pleistocene sedimentary sequence, Mason Neck, Virginia: U.S. Geological Survey Open-File Report 2021–1113, 24 p., https://doi.org/10.3133/ofr20211113.","productDescription":"vii, 24 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-129382","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":393454,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1113/ofr20211113.pdf","text":"Report","size":"2.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1113"},{"id":393453,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1113/coverthb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Mason Neck","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.40966796875,\n              38.507340712903456\n            ],\n            [\n              -76.7724609375,\n              38.507340712903456\n            ],\n            [\n              -76.7724609375,\n              38.884619201291905\n            ],\n            [\n    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Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-12-29","noUsgsAuthors":false,"publicationDate":"2021-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Markewich, Helaine W. 0000-0001-9656-3243 helainem@usgs.gov","orcid":"https://orcid.org/0000-0001-9656-3243","contributorId":2008,"corporation":false,"usgs":true,"family":"Markewich","given":"Helaine","email":"helainem@usgs.gov","middleInitial":"W.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":829288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wysocki, Douglas A.","contributorId":192881,"corporation":false,"usgs":false,"family":"Wysocki","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":true,"id":829289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pavich, Milan J. mpavich@usgs.gov","contributorId":2348,"corporation":false,"usgs":true,"family":"Pavich","given":"Milan","email":"mpavich@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":829290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smoot, Joseph P. 0000-0002-5064-8070 jpsmoot@usgs.gov","orcid":"https://orcid.org/0000-0002-5064-8070","contributorId":2742,"corporation":false,"usgs":true,"family":"Smoot","given":"Joseph","email":"jpsmoot@usgs.gov","middleInitial":"P.","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":829291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Litwin, Ronald J. 0000-0002-8661-1296 rlitwin@usgs.gov","orcid":"https://orcid.org/0000-0002-8661-1296","contributorId":2478,"corporation":false,"usgs":true,"family":"Litwin","given":"Ronald","email":"rlitwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":829292,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227355,"text":"70227355 - 2021 - Agkistrodon conanti (Florida Cottonmouth) and Python bivittatus (Burmese Python). Diet and Predation","interactions":[],"lastModifiedDate":"2022-01-11T13:29:24.039359","indexId":"70227355","displayToPublicDate":"2021-12-29T07:24:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Agkistrodon conanti (Florida Cottonmouth) and Python bivittatus (Burmese Python). Diet and Predation","docAbstract":"Python bivittatus is established in the Greater Everglades Ecosystem in southern Florida, USA. Documented predators on pythons in Florida include Alligator mississippiensis (American Alligator; Snow et al. 2006. Herpetol. Rev. 37:81–81), Drymarchon couperi (Gulf Coast Indigo Snake; Andreadis et al. 2018. Herpetol. Rev. 49:341–342), Lynx rufus (Bobcat; McCollister et al. 2021. Southeast. Nat. 20:N55–N59), and possibly Ursus americanus floridanus (Florida Black Bear; McCollister et al. 2021. op cit.). We documented mortality events of hatchling and juvenile P. bivittatus while conducting radiotelemetry studies in the Greater Everglades Ecosystem.","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Bartoszek, I.A., Anderson, G.E., Easterling, I., Josimovich, J.M., Furst, A., Ridgley, F.N., Fitzgerald, A.L., Yackel Adams, A.A., and Currylow, A.F., 2021, Agkistrodon conanti (Florida Cottonmouth) and Python bivittatus (Burmese Python). Diet and Predation: Herpetological Review, v. 52, no. 4, p. 860-862.","productDescription":"3 p.","startPage":"860","endPage":"862","ipdsId":"IP-130751","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":394178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394165,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.9140625,\n              24.956180020055925\n            ],\n            [\n              -79.94750976562499,\n              24.956180020055925\n            ],\n            [\n              -79.94750976562499,\n              26.735799020431674\n            ],\n            [\n              -81.9140625,\n              26.735799020431674\n            ],\n            [\n              -81.9140625,\n              24.956180020055925\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bartoszek, Ian A.","contributorId":271046,"corporation":false,"usgs":false,"family":"Bartoszek","given":"Ian","email":"","middleInitial":"A.","affiliations":[{"id":55974,"text":"Conservancy of Southwest Florida, Naples, Florida, USA","active":true,"usgs":false}],"preferred":false,"id":830552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Gretchen Erika 0000-0002-5887-4961","orcid":"https://orcid.org/0000-0002-5887-4961","contributorId":271047,"corporation":false,"usgs":true,"family":"Anderson","given":"Gretchen","email":"","middleInitial":"Erika","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":830553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Easterling, Ian","contributorId":271048,"corporation":false,"usgs":false,"family":"Easterling","given":"Ian","email":"","affiliations":[{"id":55974,"text":"Conservancy of Southwest Florida, Naples, Florida, USA","active":true,"usgs":false}],"preferred":false,"id":830554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Josimovich, Jillian Maureen 0000-0002-7523-3496 jjosimovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7523-3496","contributorId":257058,"corporation":false,"usgs":true,"family":"Josimovich","given":"Jillian","email":"jjosimovich@usgs.gov","middleInitial":"Maureen","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":830555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furst, Alex","contributorId":271049,"corporation":false,"usgs":false,"family":"Furst","given":"Alex","email":"","affiliations":[{"id":55974,"text":"Conservancy of Southwest Florida, Naples, Florida, USA","active":true,"usgs":false}],"preferred":false,"id":830556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ridgley, Frank N. 0000-0002-6819-2577","orcid":"https://orcid.org/0000-0002-6819-2577","contributorId":265398,"corporation":false,"usgs":false,"family":"Ridgley","given":"Frank","email":"","middleInitial":"N.","affiliations":[{"id":54678,"text":"Zoo Miami, Conservation and Research Department, 12400 SW 152nd St., Miami, Florida 33177, USA","active":true,"usgs":false}],"preferred":false,"id":830557,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fitzgerald, Austin Lee 0000-0002-9016-1849","orcid":"https://orcid.org/0000-0002-9016-1849","contributorId":264910,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Austin","email":"","middleInitial":"Lee","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":830558,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":830559,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Currylow, Andrea Faye 0000-0003-1631-8964","orcid":"https://orcid.org/0000-0003-1631-8964","contributorId":257055,"corporation":false,"usgs":true,"family":"Currylow","given":"Andrea","email":"","middleInitial":"Faye","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":830560,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227019,"text":"ofr20211117 - 2021 - Optimization of salt marsh management at the Eastern Shore of Virginia and Fisherman Island National Wildlife Refuges, Virginia, through use of structured decision making","interactions":[],"lastModifiedDate":"2021-12-28T14:30:08.263314","indexId":"ofr20211117","displayToPublicDate":"2021-12-27T14:05:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1117","displayTitle":"Optimization of Salt Marsh Management at the Eastern Shore of Virginia and Fisherman Island National Wildlife Refuges, Virginia, Through Use of Structured Decision Making","title":"Optimization of salt marsh management at the Eastern Shore of Virginia and Fisherman Island National Wildlife Refuges, Virginia, through use of structured decision making","docAbstract":"<p>Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total benefit achieved and balances tradeoffs among objectives. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, applied an existing, regional framework for structured decision making to develop a prototype tool for optimizing tidal marsh management decisions at the Eastern Shore of Virginia and Fisherman Island National Wildlife Refuges in Virginia. Refuge biologists, refuge managers, and research scientists identified multiple potential management actions to improve the ecological integrity of six marsh management units within the refuges, totaling about 575 hectares, and estimated the outcomes of each action in terms of performance metrics associated with each management objective. Value functions previously developed at the regional level were used to transform metric scores to a common utility scale, and utilities were summed to produce a single score representing the total management benefit that could be accrued from each potential management action. Constrained optimization was used to identify the set of management actions, one per marsh management unit, that could maximize total management benefits at different cost constraints at the refuge scale. Results indicated that, for the objectives and actions considered here, total management benefits may increase consistently up to approximately <span>$</span>143,000, but that further expenditures may yield diminishing return on investment. Potential management actions in optimal portfolios at total costs less than <span>$</span>143,000 included digging runnels by hand to improve drainage from the marsh surface, breaching a road to restore natural hydrology, trapping predators to enhance nest success of tidal marsh birds, and reducing the abundance of <i>Odocoileus virginianus</i> (white-tailed deer) to minimize their effects on marsh vegetation. The potential management benefits were derived from expected increases in number of tidal marsh obligate breeding birds, species richness of nekton, and density of spiders (as an indicator of trophic health); and an expected decrease in duration of surface flooding. The prototype presented here does not resolve management decisions; rather, it provides a framework for decision making at the Eastern Shore of Virginia and Fisherman Island National Wildlife Refuges that can be updated as new data and information become available. Insights from this process may also be useful to inform future habitat management planning at the refuges.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211117","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., Denmon, P., and Leffel, R., 2021, Optimization of salt marsh management at the Eastern Shore of Virginia and Fisherman Island National Wildlife Refuges, Virginia, through use of structured decision making: U.S. Geological Survey Open-File Report 2021–1117, 32 p., https://doi.org/10.3133/ofr20211117.","productDescription":"Report: vi, 32 p.; Database","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-131973","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":393431,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://ecos.fws.gov/ServCat/Reference/Profile/121918","text":"U.S. Fish and Wildlife Service database","linkHelpText":"- Salt marsh integrity and Hurricane Sandy vegetation, bird and nekton data"},{"id":393427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1117/coverthb.jpg"},{"id":393428,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1117/ofr20211117.pdf","text":"Report","size":"2.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1117"},{"id":393429,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1117/images/"},{"id":393430,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1117/ofr20211117.XML"}],"country":"United States","state":"Virginia","otherGeospatial":"Fisherman Island National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.99586486816406,\n              37.072162624715375\n            ],\n            [\n              -75.92857360839844,\n              37.072162624715375\n            ],\n            [\n              -75.92857360839844,\n              37.14061402065652\n            ],\n            [\n              -75.99586486816406,\n              37.14061402065652\n            ],\n            [\n              -75.99586486816406,\n              37.072162624715375\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/eesc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/eesc/connect\">Director</a>, <a href=\"https://www.usgs.gov/centers/eesc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>11649 Leetown Road<br>Kearneysville, WV 25430</p><p><a href=\"../contact\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Regional Structured Decision-Making Framework</li><li>Application to the Eastern Shore of Virginia and Fisherman Island National Wildlife Refuges</li><li>Results of Constrained Optimization</li><li>Considerations for Optimizing Salt Marsh Management</li><li>References Cited</li><li>Appendix 1. Regional Influence Diagrams</li><li>Appendix 2. Utility Functions for the Eastern Shore of Virginia and Fisherman Island National Wildlife Refuges</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-12-27","noUsgsAuthors":false,"publicationDate":"2021-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":210574,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adamowicz, Susan C.","contributorId":174712,"corporation":false,"usgs":false,"family":"Adamowicz","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":829246,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mikula, Toni","contributorId":208473,"corporation":false,"usgs":false,"family":"Mikula","given":"Toni","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":829247,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Denmon, Pamela","contributorId":270392,"corporation":false,"usgs":false,"family":"Denmon","given":"Pamela","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":829248,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leffel, Robert","contributorId":270393,"corporation":false,"usgs":false,"family":"Leffel","given":"Robert","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":829249,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70226991,"text":"ofr20211115 - 2021 - Optimization of salt marsh management at the Moosehorn National Wildlife Refuge, Maine, through use of structured decision making","interactions":[],"lastModifiedDate":"2021-12-27T15:49:07.673301","indexId":"ofr20211115","displayToPublicDate":"2021-12-27T10:25:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1115","displayTitle":"Optimization of Salt Marsh Management at the Moosehorn National Wildlife Refuge, Maine, Through Use of Structured Decision Making","title":"Optimization of salt marsh management at the Moosehorn National Wildlife Refuge, Maine, through use of structured decision making","docAbstract":"<p>Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total benefit achieved and balances tradeoffs among objectives. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, applied an existing, regional framework for structured decision making to develop a prototype tool for optimizing tidal marsh management decisions at the Moosehorn National Wildlife Refuge in Maine. Refuge biologists, refuge managers, and research scientists identified multiple potential management actions to improve the ecological integrity of four marsh management units within the refuge, totaling about 13 hectares, and estimated the outcomes of each action in terms of performance metrics associated with each management objective. Value functions previously developed at the regional level were used to transform metric scores to a common utility scale, and utilities were summed to produce a single score representing the total management benefit that could be accrued from each potential management action. Constrained optimization was used to identify the set of management actions, one per marsh management unit, that could maximize total management benefits at different cost constraints at the refuge scale. Results indicated that, for the objectives and actions considered here, total management benefits may increase consistently up to <span>$</span>1,000, and may continue to increase at a lower rate with further expenditures. Potential management actions in optimal portfolios at total costs less than or equal to <span>$</span>1,000 included improving nesting habitat for <i>Ammodramus nelsoni</i> (Nelson’s sparrow) or restoring hydrologic connections to the upper marsh in one marsh management unit (Hobart Stream West). The potential management benefits were derived from expected increases in the density of nekton and of spiders (as an indicator of trophic health). The prototype presented here does not resolve management decisions; rather, it provides a framework for decision making at the Moosehorn National Wildlife Refuge that can be updated for implementation as new data and information become available. Insights from this process may also be useful to inform future habitat management planning at the refuge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211115","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., Mills, M., Brown, R.E., and Ramos, K., 2021, Optimization of salt marsh management at the Moosehorn National Wildlife Refuge, Maine, through use of structured decision making: U.S. Geological Survey Open-File Report 2021–1115, 28 p., https://doi.org/10.3133/ofr20211115.","productDescription":"Report: vi, 28 p.; Database","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-131976","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":393375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1115/coverthb.jpg"},{"id":393376,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1115/ofr20211115.pdf","text":"Report","size":"4.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":393377,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1115/ofr20211115.xml"},{"id":393379,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://ecos.fws.gov/ServCat/Reference/Profile/121918","text":"U.S. Fish and Wildlife Service database","linkHelpText":"- Salt marsh integrity and Hurricane Sandy vegetation, bird and nekton data"},{"id":393378,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1115/images"}],"country":"United States","state":"Maine","otherGeospatial":"Moosehorn National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.27890014648438,\n              44.80132682904856\n            ],\n            [\n              -67.15,\n              44.80132682904856\n            ],\n            [\n              -67.15,\n              44.918625522424925\n            ],\n            [\n              -67.27890014648438,\n              44.918625522424925\n            ],\n            [\n              -67.27890014648438,\n              44.80132682904856\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/eesc/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/eesc/connect\">Director</a>, <a href=\"https://www.usgs.gov/centers/eesc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>11649 Leetown Road<br>Kearneysville, WV 25430</p><p><a href=\"../contact\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;</li><li>Abstract&nbsp;</li><li>Introduction&nbsp;</li><li>Regional Structured Decision-Making Framework&nbsp;</li><li>Application to the Moosehorn National Wildlife Refuge&nbsp;</li><li>Results of Constrained Optimization&nbsp;</li><li>Considerations for Optimizing Salt Marsh Management&nbsp;</li><li>References Cited&nbsp;</li><li>Appendix 1. Regional Influence Diagrams&nbsp;</li><li>Appendix 2. Utility Functions for the Moosehorn National Wildlife Refuge</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-12-27","noUsgsAuthors":false,"publicationDate":"2021-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adamowicz, Susan C.","contributorId":174712,"corporation":false,"usgs":false,"family":"Adamowicz","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":829108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mikula, Toni","contributorId":208473,"corporation":false,"usgs":false,"family":"Mikula","given":"Toni","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":829109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mills, Maurice","contributorId":270343,"corporation":false,"usgs":false,"family":"Mills","given":"Maurice","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":829110,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Raymond E.","contributorId":85064,"corporation":false,"usgs":false,"family":"Brown","given":"Raymond","email":"","middleInitial":"E.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":829111,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ramos, Keith","contributorId":270344,"corporation":false,"usgs":false,"family":"Ramos","given":"Keith","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":829112,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70226934,"text":"sir20215131 - 2021 - Completion summary for boreholes USGS 148, 148A, and 149 at the Materials and Fuels Complex, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2021-12-27T13:33:25.050244","indexId":"sir20215131","displayToPublicDate":"2021-12-23T07:24:54","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5131","displayTitle":"Completion Summary for Boreholes USGS 148, 148A, and 149 at the Materials and Fuels Complex, Idaho National Laboratory, Idaho","title":"Completion summary for boreholes USGS 148, 148A, and 149 at the Materials and Fuels Complex, Idaho National Laboratory, Idaho","docAbstract":"<p class=\"p1\">In 2019, the U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Energy, drilled and constructed boreholes USGS 148A and USGS 149 for stratigraphic framework analyses and long-term groundwater monitoring of the eastern Snake River Plain aquifer at the Idaho National Laboratory (INL) in southeastern Idaho. Initially, boreholes USGS 148A and USGS 149 were continuously cored to allow the USGS and INL subcontractor to collect select geophysical and seismic data and evaluate properties of recovered core material. The USGS geophysical data and descriptions of core material are described in this report; however, data collected by the INL contractor, including seismic data, are not included as part of the report.</p><p class=\"p1\">The unsaturated zone at both borehole locations is relatively thick, depth to water was measured at approximately 663.6 feet (ft) below land surface (BLS) in USGS 148A, and at approximately 654.1 ft BLS at USGS 149. On completion of coring and data collection, both boreholes (USGS 148A and USGS 149) were repurposed as monitoring wells. Well USGS 148A was constructed to a depth of 759 ft BLS and instrumented with a dedicated submersible pump and measurement line; well USGS 149 was constructed to a depth of 974 ft BLS and instrumented with a multilevel monitoring system (Westbay<sup>TM</sup>).</p><p class=\"p1\">Geophysical data, collected by the USGS, were used to characterize the subsurface geology and aquifer conditions. Natural gamma log measurements were used to assess sediment-layer thickness and location. Neutron and gamma-gamma source logs were used to confirm fractured and vesicular basalt identified for aquifer testing and multilevel monitoring well zone testing. Acoustic televiewer logs, collected for well USGS 149, were used to identify fractures and assess groundwater movement when compared with neutron measurements. Furthermore, gyroscopic deviation measurements were used to measure horizontal and vertical displacement for the constructed boreholes USGS 148A and USGS 149.</p><p class=\"p1\">A single-well aquifer test was done in well USGS 148A during November 6–7, 2019, to provide estimates of transmissivity and hydraulic conductivity. Estimates for transmissivity and hydraulic conductivity were 6.34×10<sup><span class=\"s1\">3 </span></sup>feet squared per day and 3.17 feet per day, respectively. The aquifer test was run overnight (21.3 hours) and measured drawdown was relatively small (0.09 ft) at sustained pumping rates ranging from 15.7 to 16.1 gallons per minute. The transmissivity estimates for well USGS 148A were slightly lower than those determined from previous aquifer tests for wells near the Materials and Fuels Complex, but well within range of other aquifer tests done at the INL.</p><p class=\"p2\">Water-quality samples, collected from well USGS 148A and from four zones in well USGS 149, were analyzed for cations, anions, metals, nutrients, volatile organic compounds, stable isotopes, and radionuclides. Water samples for most of the inorganic constituents showed similar chemistry in USGS 148A and all four zones in USGS 149. Water samples for stable isotopes of oxygen and hydrogen indicated some possible influence of irrigation on the water quality. Nitrate plus nitrite concentrations indicated influence from anthropogenic sources. The volatile organic compound and radiochemical data indicated that wastewater disposal practices at the Materials and Fuels Complex or from drilling had no detectable influence on these wells.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215131","collaboration":"DOE/ID-22255<br />Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Twining, B.V., Maimer, N.V., Bartholomay, R.C., and Packer, B.W., 2021, Completion summary for boreholes USGS 148, 148A, and 149 at the Materials and Fuels Complex, Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2021–5131 (DOE/ID-22255), 38 p., https://doi.org/10.3133/sir20215131.","productDescription":"Report: vii, 38 p.; 6 Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-122471","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":393204,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5131/coverthb.jpg"},{"id":393206,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5131/sir20215131_Appendix1.pdf","text":"Appendix 1","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5131 Appendix 1"},{"id":393208,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5131/sir20215131_Appendix3.pdf","text":"Appendix 3","size":"117 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5131 Appendix 3"},{"id":393209,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5131/sir20215131_Appendix4.pdf","text":"Appendix 4","size":"61.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5131 Appendix 4"},{"id":393210,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5131/sir20215131_Appendix5.pdf","text":"Appendix 5","size":"147 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5131 Appendix 5"},{"id":393211,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5131/sir20215131_Appendix6.pdf","text":"Appendix 6","size":"228.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5131 Appendix 6"},{"id":393205,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5131/sir20215131.pdf","text":"Report","size":"4.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5131"},{"id":393207,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5131/sir20215131_Appendix2.pdf","text":"Appendix 2","size":"108 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5131 Appendix 2"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.280029296875,\n              43.56646172588961\n            ],\n            [\n              -112.36541748046875,\n              43.56646172588961\n            ],\n            [\n              -112.36541748046875,\n              44.16447445668456\n            ],\n            [\n              -113.280029296875,\n              44.16447445668456\n            ],\n            [\n              -113.280029296875,\n              43.56646172588961\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Road<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Drilling and Borehole Construction Methods</li><li>Geologic and Geophysical Data</li><li>Single-Well Aquifer Test</li><li>Water-Quality Sample Collection</li><li>Summary</li><li>References Cited</li><li>Appendixes 1–6</li></ul>","publishedDate":"2021-12-23","noUsgsAuthors":false,"publicationDate":"2021-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Twining, Brian V. 0000-0003-1321-4721 btwining@usgs.gov","orcid":"https://orcid.org/0000-0003-1321-4721","contributorId":2387,"corporation":false,"usgs":true,"family":"Twining","given":"Brian","email":"btwining@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maimer, Neil V. 0000-0003-3047-3282 nmaimer@usgs.gov","orcid":"https://orcid.org/0000-0003-3047-3282","contributorId":5659,"corporation":false,"usgs":true,"family":"Maimer","given":"Neil","email":"nmaimer@usgs.gov","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartholomay, Roy C. 0000-0002-4809-9287 rcbarth@usgs.gov","orcid":"https://orcid.org/0000-0002-4809-9287","contributorId":1131,"corporation":false,"usgs":true,"family":"Bartholomay","given":"Roy","email":"rcbarth@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828833,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Packer, Blair W. 0000-0002-6234-9115","orcid":"https://orcid.org/0000-0002-6234-9115","contributorId":270251,"corporation":false,"usgs":false,"family":"Packer","given":"Blair","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":828834,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229098,"text":"70229098 - 2021 - Mapping habitat quality and threats for eastern Black Rails (Laterallus jamaicensis jamaicensis)","interactions":[],"lastModifiedDate":"2022-02-28T12:27:23.743339","indexId":"70229098","displayToPublicDate":"2021-12-23T06:23:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Mapping habitat quality and threats for eastern Black Rails (Laterallus jamaicensis jamaicensis)","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Documenting the spatial distribution of high-quality habitat patches, the distributions of threats and protected areas, and the vulnerability of habitat patches to changes in environmental conditions is vital for conservation of rare species. Range-wide species distribution models were developed for Black Rails (<i>Laterallus jamaicensis</i>) to predict the distribution of high-quality habitat patches for breeding Eastern Black Rails (<i>L. j. jamaicensis</i>). Overlay analyses were conducted to quantify the distribution of habitat relative to human development and existing protected areas, as well as the vulnerability of the best habitat to future sea level rise. The amount of high-quality habitat varied among states (0.4-7.6% of area) and was relatively rare throughout the subspecies' range (3.3% of area). Human development was common but the amount varied spatially among states (2.2-15.3% of area). Higher-quality breeding habitat was more common on federal lands (9.4% of area) and protected areas (6.4% of area), yet 33-42% of the highest-quality habitat patches were vulnerable to sea level rise of 0.61-1.83 m. Our results imply that even though many of the highest-quality habitat patches may be less likely sites for development they are often vulnerable to rising seas, and thus maintenance of existing high-quality habitat patches may be difficult without management that takes into account the likelihood of future inundation.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.1675/063.044.0211","usgsCitation":"Stevens, B.S., and Conway, C.J., 2021, Mapping habitat quality and threats for eastern Black Rails (Laterallus jamaicensis jamaicensis): Waterbirds, v. 44, no. 2, p. 245-256, https://doi.org/10.1675/063.044.0211.","productDescription":"12 p.","startPage":"245","endPage":"256","ipdsId":"IP-122240","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449988,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1675/063.044.0211","text":"Publisher Index 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            39.232253141714885\n            ],\n            [\n              -74.8828125,\n              39.9434364619742\n            ],\n            [\n              -76.201171875,\n              39.80853604144591\n            ],\n            [\n              -77.431640625,\n              39.16414104768742\n            ],\n            [\n              -77.47558593749999,\n              37.3002752813443\n            ],\n            [\n              -77.95898437499999,\n              35.209721645221386\n            ],\n            [\n              -78.3544921875,\n              34.77771580360469\n            ],\n            [\n              -79.541015625,\n              34.05265942137599\n            ],\n            [\n              -80.771484375,\n              32.879587173066305\n            ],\n            [\n              -81.9580078125,\n              31.914867503276223\n            ],\n            [\n              -82.2216796875,\n              30.86451022625836\n            ],\n 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cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":836473,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227046,"text":"70227046 - 2021 - Revealing migratory path, important stopovers and non-breeding areas of a boreal songbird in steep decline","interactions":[],"lastModifiedDate":"2022-02-11T11:52:18.395396","indexId":"70227046","displayToPublicDate":"2021-12-22T08:58:54","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7561,"text":"Animal Migration","active":true,"publicationSubtype":{"id":10}},"title":"Revealing migratory path, important stopovers and non-breeding areas of a boreal songbird in steep decline","docAbstract":"The Olive-sided Flycatcher (Contopus cooperi) is a steeply declining aerial insectivore with one of the longest migrations of any North American passerine. We deployed light-level geolocators and archival GPS tags on breeders in boreal Alaska to determine migratory routes, important stopovers and non-breeding locations. Data from 16 individuals revealed a median 23,555 km annual journey (range: 19,387, 27,292 km) over 95 days (range: 83, 139 days) with wintering occurring in three regions of South America (NW Colombia/Ecuador, central Peru and W Brazil/S Peru). We developed a new method to identify “Important Stopovers” by quantifying intensity of use (a function of bird numbers and stop durations) along migratory routes. We identified 13 Important Stopovers that accounted for ~66% of the annual migratory period, suggestive of refueling activities. Some sites coincided with key areas previously identified for other Neotropi- cal-Nearctic migrants. Percent land “protected” at Impor- tant Stopovers, as defined by IUCN, ranged from 3.8% to 49.3% (mean [95% CI]: 17.3% [9.6, 25.0]). Total migration speed did not differ by season (median: 255 km day-1, range: 182, 295km day-1), despite greater spring travel dis- tances. Birds with longer non-breeding periods, however, migrated north faster. Climate-driven mismatches in migratory timing may be less of a concern for western than for eastern flycatcher populations, given recent con- generic analyses (C. sordidulus, C. virens). However, accel- erated high-latitude changes, may nonetheless impact boreal breeders.","language":"English","publisher":"De Gruyter","doi":"10.1515/ami-2020-0116","usgsCitation":"Hagelin, J.C., Hallworth, M.T., Barger, C.P., Johnson, J.A., DuBour, K.A., Pendelton, G.W., DeCicco, L.H., McDuffie, L., Matsuoka, S.M., Snively, M.A., and Marra, P.P., 2021, Revealing migratory path, important stopovers and non-breeding areas of a boreal songbird in steep decline: Animal Migration, v. 8, p. 168-191, https://doi.org/10.1515/ami-2020-0116.","productDescription":"24 p.","startPage":"168","endPage":"191","ipdsId":"IP-133471","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":488349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1515/ami-2020-0116","text":"Publisher Index 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]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2021-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hagelin, Julie C 0000-0002-0434-6936","orcid":"https://orcid.org/0000-0002-0434-6936","contributorId":270470,"corporation":false,"usgs":false,"family":"Hagelin","given":"Julie","email":"","middleInitial":"C","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":829363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hallworth, Michael T.","contributorId":213805,"corporation":false,"usgs":false,"family":"Hallworth","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":38879,"text":"National Zoological Park, Migratory Bird Center","active":true,"usgs":false}],"preferred":false,"id":829364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barger, Christopher P 0000-0001-8386-7977","orcid":"https://orcid.org/0000-0001-8386-7977","contributorId":270472,"corporation":false,"usgs":false,"family":"Barger","given":"Christopher","email":"","middleInitial":"P","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":829365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, James A.","contributorId":199284,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":829366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DuBour, Kristin A","contributorId":270474,"corporation":false,"usgs":false,"family":"DuBour","given":"Kristin","email":"","middleInitial":"A","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":829367,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pendelton, Grey W 0000-0003-0741-9202","orcid":"https://orcid.org/0000-0003-0741-9202","contributorId":270476,"corporation":false,"usgs":false,"family":"Pendelton","given":"Grey","email":"","middleInitial":"W","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":829368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeCicco, Lucas H.","contributorId":199286,"corporation":false,"usgs":false,"family":"DeCicco","given":"Lucas","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":829369,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McDuffie, Laura A 0000-0003-2071-7204","orcid":"https://orcid.org/0000-0003-2071-7204","contributorId":270478,"corporation":false,"usgs":false,"family":"McDuffie","given":"Laura A","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":829370,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Matsuoka, Steven M. 0000-0001-6415-1885 smatsuoka@usgs.gov","orcid":"https://orcid.org/0000-0001-6415-1885","contributorId":184173,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Steven","email":"smatsuoka@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":829371,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Snively, Marian A","contributorId":270480,"corporation":false,"usgs":false,"family":"Snively","given":"Marian","email":"","middleInitial":"A","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":829372,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Marra, Peter P.","contributorId":190140,"corporation":false,"usgs":false,"family":"Marra","given":"Peter","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":829373,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70226918,"text":"70226918 - 2021 - Characterizing methane emission hotspots from thawing permafrost","interactions":[],"lastModifiedDate":"2022-04-13T20:25:58.025504","indexId":"70226918","displayToPublicDate":"2021-12-21T09:00:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing methane emission hotspots from thawing permafrost","docAbstract":"<div class=\"article-section__content en main\"><p>Methane (CH<sub>4</sub>) emissions from climate-sensitive ecosystems within the northern permafrost region represent a potentially large but highly uncertain source, with current estimates spanning a factor of seven (11–75&nbsp;Tg CH<sub>4</sub><span>&nbsp;</span>yr<sup>−1</sup>). Accelerating permafrost thaw threatens significant increases in pan-Arctic CH<sub>4</sub><span>&nbsp;</span>emissions, amplifying the permafrost carbon feedback. We used airborne imaging spectroscopy with meter-scale spatial resolution and broad coverage to identify a previously undiscovered CH<sub>4</sub><span>&nbsp;</span>emission hotspot adjacent to a thermokarst lake in interior Alaska. Hotspot emissions were confined to &lt;1% of the 10&nbsp;ha lake study area. Ground-based chamber measurements confirmed average daily fluxes from the hotspot of 1,170&nbsp;mg CH<sub>4</sub><span>&nbsp;</span>m<sup>−2</sup>&nbsp;d<sup>−1</sup>, with extreme daily maxima up to 24,200&nbsp;mg CH<sub>4</sub><span>&nbsp;</span>m<sup>−2</sup>&nbsp;d<sup>−1</sup>. Ground-based geophysical measurements revealed thawed permafrost directly beneath the CH<sub>4</sub><span>&nbsp;</span>hotspot, extending to a depth of ∼15&nbsp;m, indicating that the intense CH<sub>4</sub><span>&nbsp;</span>emissions likely originated from recently thawed permafrost. Hotspot emissions accounted for ∼40% of total diffusive CH<sub>4</sub><span>&nbsp;</span>emissions from the lake study site. Combining study site findings with hotspot statistics from our 70,000&nbsp;km<sup>2</sup><span>&nbsp;</span>airborne survey across Alaska and northwestern Canada, we estimate that pan-Arctic terrestrial thermokarst hotspots currently emit 1.1 (0.1–5.2) Tg CH<sub>4</sub><span>&nbsp;</span>yr<sup>−1</sup>, or roughly 4% of the annual pan-Arctic wetland budget from just 0.01% of the northern permafrost land area. Our results suggest that significant proportions of pan-Arctic CH<sub>4</sub><span>&nbsp;</span>emissions originate from disproportionately small areas of previously undetermined thermokarst emissions hotspots, and that pan-Arctic CH<sub>4</sub><span>&nbsp;</span>emissions may increase non-linearly as thermokarst processes increase under a warming climate.</p></div>","language":"English","publisher":"Wiley","doi":"10.1029/2020GB006922","usgsCitation":"Elder, C.D., Thompson, D.R., Thorpe, A.K., Chandanpurkar, H., Hanke, P.J., Hasson, N., James, S.R., Minsley, B.J., Pastick, N.J., Olefeldt, D., Walter Anthony, K., and Miller, C.E., 2021, Characterizing methane emission hotspots from thawing permafrost: Global Biogeochemical Cycles, v. 35, no. 12, e2020GB006922, 22 p., https://doi.org/10.1029/2020GB006922.","productDescription":"e2020GB006922, 22 p.","ipdsId":"IP-124912","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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,{"id":70226829,"text":"ofr20211094 - 2021 - Geochronologic, isotopic, and geochemical data from pre-Cretaceous plutonic rocks in the Lane Mountain area, San Bernardino County, California","interactions":[],"lastModifiedDate":"2023-03-29T17:44:09.016282","indexId":"ofr20211094","displayToPublicDate":"2021-12-14T12:02:52","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1094","displayTitle":"Geochronologic, Isotopic, and Geochemical Data from Pre- Cretaceous Plutonic Rocks in the Lane Mountain Area, San Bernardino County, California","title":"Geochronologic, isotopic, and geochemical data from pre-Cretaceous plutonic rocks in the Lane Mountain area, San Bernardino County, California","docAbstract":"<p>Pre-Cretaceous, predominantly dioritic plutonic rocks in the Lane Mountain area, California, intrude metasedimentary and metavolcanic rocks considered part of the El Paso terrane. New geochronologic (uranium-lead zircon), geochemical, and isotopic data provide a reliable basis for dividing these pre-Cretaceous plutonic rocks into two mappable suites of Permian–Triassic and Late Jurassic ages. The 26 Permian–Triassic samples included in this report have a mean age of ~248 mega-annum (Ma), range in composition from monzodiorite to quartz monzonite and granodiorite, and have a mean initial <sup>87</sup>Sr/<sup>86</sup>Sr ratio (Sri) of ~0.7045. The 22 Late Jurassic samples have a mean age of ~149 Ma, range in composition from gabbro to granite, and have a mean Sr<sub>i</sub> of ~0.7055. Accurate mapping of these two plutonic suites and their detailed field relations with the associated metamorphic rocks is essential for resolving the geologic history and regional tectonic significance of the Lane Mountain area.</p><p>The sub-0.706 Sr<sub>i</sub> values of both plutonic suites at Lane Mountain are consistent with previous suggestions that the El Paso terrane is allochthonous and did not develop on Precambrian continental lithosphere. Both suites are considered parts of northwest-trending magmatic arcs interpreted to have formed above east-dipping subduction zones along the evolving North American continental margin, and both arcs are interpreted to cross a major east-west-trending boundary between the El Paso terrane and rocks considered part of ancestral North America in the San Bernardino Mountains area to the south. The El Paso terrane thus appears to have been attached to the San Bernardino Mountains area at least since Permian–Triassic time, although the boundary probably has been modified by Cenozoic faulting.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211094","usgsCitation":"Stone, P., Brown, H.J., Cecil, M.R., Fleck, R.J., Vazquez, J.A., and Fitzpatrick, J.A., 2021, Geochronologic, isotopic, and geochemical data from pre-Cretaceous plutonic rocks in the Lane Mountain area, San Bernardino County, California: U.S. Geological Survey Open-File Report 2021–1094, 74 p., https://doi.org/10.3133/ofr20211094.","productDescription":"viii, 74 p.","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-121822","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":436088,"rank":5,"type":{"id":30,"text":"Data 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2019-1070","linkHelpText":"- Geochronologic, Isotopic, and Geochemical Data from Igneous Rocks in the Lane Mountain Area, San Bernardino County, California"},{"id":392863,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1094/ofr20211094.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":392862,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1094/covrthb.jpg"}],"country":"United States","state":"California","county":"San Berdardino 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Bernardino\",\"state\":\"CA\"}}]}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg/connect\">Contact Information</a>,<br><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Menlo Park, California</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>Building 19, 350 N. Akron Rd.<br>P.O. Box 158<br>Moffett Field, CA 94035</p>","tableOfContents":"<ul><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Methods&nbsp;&nbsp;</li><li>Analytical Results&nbsp;&nbsp;</li><li>Map Relations in the Lane Mountain Area&nbsp;&nbsp;</li><li>Regional Relations&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>Acknowledgements&nbsp;&nbsp;</li><li>References Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-12-14","noUsgsAuthors":false,"publicationDate":"2021-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":828413,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Howard J.","contributorId":89582,"corporation":false,"usgs":true,"family":"Brown","given":"Howard J.","affiliations":[],"preferred":false,"id":828414,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cecil, M. Robinson 0000-0003-1948-1919","orcid":"https://orcid.org/0000-0003-1948-1919","contributorId":216566,"corporation":false,"usgs":false,"family":"Cecil","given":"M.","email":"","middleInitial":"Robinson","affiliations":[{"id":39477,"text":"California State University Northridge","active":true,"usgs":false}],"preferred":true,"id":828415,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleck, Robert J. 0000-0002-3149-8249 fleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3149-8249","contributorId":1048,"corporation":false,"usgs":true,"family":"Fleck","given":"Robert","email":"fleck@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":828416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":828417,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fitzpatrick, John A. 0000-0001-6738-7180 jfitzpat@usgs.gov","orcid":"https://orcid.org/0000-0001-6738-7180","contributorId":3719,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"John","email":"jfitzpat@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":828418,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227044,"text":"70227044 - 2021 - Asynchronous flowering patterns in saguaro cacti (Carnegiea gigantea)","interactions":[],"lastModifiedDate":"2021-12-28T15:15:27.886637","indexId":"70227044","displayToPublicDate":"2021-12-12T09:13:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Asynchronous flowering patterns in saguaro cacti (Carnegiea gigantea)","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The saguaro cactus (<i>Carnegiea gigantea</i><span>&nbsp;</span>[Engelm.] Britton &amp; Rose) is a keystone species endemic to the Sonoran Desert of northern Mexico and the southwestern United States. The saguaro produces large white flowers near its stem apex (crown) during April–June, which bloom at night and close the following day. In 1924, Duncan Johnson reported that saguaro floral buds are likely to have an asymmetrical distribution in which buds occur in higher densities on the eastern half of a plant's crown. Using technology not available to Johnson, we tested his observations to determine whether flowers are asymmetrically distributed using repeat photography. We also tested whether there is a seasonal pattern of flowering that may explain Johnson’s observations. We tracked intra-individual flowering phenology of 20 saguaros and measured 2372 flowers across two reproductive seasons in Saguaro National Park, Tucson, Arizona. Flowers first appeared on the east side of all saguaro crowns at the start of the reproductive season, and then spread radially in a counterclockwise direction as the season progressed. In contrast to previous reports, saguaro flowers were consistently more abundant on the northern part of the crown than in the eastern part. To our knowledge, this study is the first to document a seasonal, counterclockwise pattern of asynchronous flowering in saguaro or any angiosperm. We discuss potential drivers of this phenomenon as well as implications for saguaros responding to climate change.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3873","usgsCitation":"Foley, T., Swann, D.E., Sotelo, G., Perkins, N., and Winkler, D.E., 2021, Asynchronous flowering patterns in saguaro cacti (Carnegiea gigantea): Ecosphere, v. 12, no. 12, e03873, 14 p., https://doi.org/10.1002/ecs2.3873.","productDescription":"e03873, 14 p.","ipdsId":"IP-131559","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":450041,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3873","text":"Publisher Index Page"},{"id":393503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Saguaro National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.26129150390625,\n              32.150036509965304\n            ],\n            [\n              -110.97496032714844,\n              32.150036509965304\n            ],\n            [\n              -110.97496032714844,\n              32.371262806414045\n            ],\n            [\n              -111.26129150390625,\n              32.371262806414045\n            ],\n            [\n              -111.26129150390625,\n              32.150036509965304\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Foley, Theresa","contributorId":267925,"corporation":false,"usgs":false,"family":"Foley","given":"Theresa","email":"","affiliations":[],"preferred":false,"id":829337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swann, Don E.","contributorId":218874,"corporation":false,"usgs":false,"family":"Swann","given":"Don","email":"","middleInitial":"E.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":829338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sotelo, Guadalupe","contributorId":270434,"corporation":false,"usgs":false,"family":"Sotelo","given":"Guadalupe","email":"","affiliations":[{"id":56167,"text":"Saguaro National Park, 3693 South Old Spanish Trail, Tucson, Arizona 85748","active":true,"usgs":false}],"preferred":false,"id":829339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Nicholas","contributorId":270435,"corporation":false,"usgs":false,"family":"Perkins","given":"Nicholas","email":"","affiliations":[{"id":56167,"text":"Saguaro National Park, 3693 South Old Spanish Trail, Tucson, Arizona 85748","active":true,"usgs":false}],"preferred":false,"id":829340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":829341,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236523,"text":"70236523 - 2021 - Influence of antecedent geology on the Holocene formation and evolution of Horn Island, Mississippi, USA","interactions":[],"lastModifiedDate":"2022-09-09T12:28:43.889046","indexId":"70236523","displayToPublicDate":"2021-12-11T07:25:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of antecedent geology on the Holocene formation and evolution of Horn Island, Mississippi, USA","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0075\">Horn Island, one of the two most stable barriers along the Mississippi-Alabama chain (Cat, East and West Ship, Horn, West Petit Bois, Petit Bois, and Dauphin), provides critical habitat, helps regulate estuarine conditions in the Mississippi Sound, and reduces wave energy and storm surge before they reach the mainland shore. However, important details of the formation and evolution of the island in response to sea-level rise, storms, and antecedent geology remain unclear. This study integrates 2200&nbsp;km of high-resolution geophysical data, 35 sediment cores, and 18 radiocarbon ages to better understand the geologic history of the island. Incised valleys of the Biloxi and Pascagoula Rivers underlie Horn Island and played a profound role in the evolution of the system. Within the incised valleys, sandy paleochannel deposits represent potential sediment sources during island development. Scour associated with wave and tidal ravinement processes liberated sand from the paleochannels and along with numerous other sizable sand sources on the shelf contributed to the formation and continued maintenance of Horn Island. Based on radiocarbon ages, transgressive ephemeral islands/shoals with no preserved shoreface existed at least 8000&nbsp;cal&nbsp;yr BP and were frequently overwashed when sea-level rise rates were&nbsp;~&nbsp;4–5&nbsp;mm/yr. Approximately 5000&nbsp;cal&nbsp;yr BP, coinciding with a deceleration in sea-level rise to about 1.4&nbsp;mm/yr and attendant increased sand supply, radiocarbon ages associated with Horn Island's barrier complex and lower shoreface indicate a period of island stabilization. Seismic and sediment core data show a long history of westward lateral migration by longshore currents through tidal ravinement and inlet fill. Subsurface sand packages associated with tidal inlet fill and paleochannels are available for ravinement and may be important sand sources for Horn Island to maintain subaerial exposure with the expected accelerated future sea-level rise.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2020.106375","usgsCitation":"Gal, N.S., Wallace, D.J., Miner, M., Hollis, R.S., Dike, C.H., and Flocks, J., 2021, Influence of antecedent geology on the Holocene formation and evolution of Horn Island, Mississippi, USA: Marine Geology, v. 431, 106375, 19 p., https://doi.org/10.1016/j.margeo.2020.106375.","productDescription":"106375, 19 p.","ipdsId":"IP-119327","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":406445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Horn Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.6102294921875,\n              30.103553765506575\n            ],\n            [\n              -87.95791625976564,\n              30.103553765506575\n            ],\n            [\n              -87.95791625976564,\n              30.34562073484083\n            ],\n            [\n              -88.6102294921875,\n              30.34562073484083\n            ],\n            [\n              -88.6102294921875,\n              30.103553765506575\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"431","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gal, Nina S","contributorId":243058,"corporation":false,"usgs":false,"family":"Gal","given":"Nina","email":"","middleInitial":"S","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":851303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Davin J","contributorId":243056,"corporation":false,"usgs":false,"family":"Wallace","given":"Davin","email":"","middleInitial":"J","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":851304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miner, Michael","contributorId":79434,"corporation":false,"usgs":true,"family":"Miner","given":"Michael","affiliations":[],"preferred":false,"id":851305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hollis, Robert S","contributorId":243055,"corporation":false,"usgs":false,"family":"Hollis","given":"Robert","email":"","middleInitial":"S","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":851306,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dike, Clayton H","contributorId":243059,"corporation":false,"usgs":false,"family":"Dike","given":"Clayton","email":"","middleInitial":"H","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":851307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flocks, James 0000-0002-6177-7433","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":221107,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":851308,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227007,"text":"70227007 - 2021 - Experimental tree mortality does not induce marsh transgression in a Chesapeake Bay low-lying coastal forest","interactions":[],"lastModifiedDate":"2021-12-27T14:25:45.009662","indexId":"70227007","displayToPublicDate":"2021-12-10T08:19:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Experimental tree mortality does not induce marsh transgression in a Chesapeake Bay low-lying coastal forest","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb0\">Transgression into adjacent uplands is an important global response of coastal wetlands to accelerated rates of sea level rise. “Ghost forests” mark a signature characteristic of marsh transgression on the landscape, as changes in tidal inundation and salinity cause bordering upland tree mortality, increase light availability, and the emergence of tidal marsh species due to reduced competition. To investigate these mechanisms of the marsh migration process, we conducted a field experiment to simulate a natural disturbance event (e.g., storm-induced flooding) by inducing the death of established trees (coastal loblolly pine,<span>&nbsp;</span><i>Pinus taeda</i>) at the marsh-upland forest ecotone. After this simulated disturbance in 2014, we monitored changes in vegetation along an elevation gradient in control and treatment areas to determine if disturbance can lead to an ecosystem shift from forested upland to wetland vegetation. Light availability initially increased in the disturbed area, leading to an increase in biodiversity of vegetation with early successional grass and shrub species. However, over the course of this 5-year experiment, there was no increase in inundation in the disturbed areas relative to the control and pine trees recolonized becoming the dominant plant cover in the disturbed study areas. Thus, in the 5 years since the disturbance, there has been no overall shift in species composition toward more hydrophytic vegetation that would be indicative of marsh transgression with the removal of trees. These findings suggest that disturbance is necessary but not sufficient alone for transgression to occur. Unless hydrological characteristics suppress tree re-growth within a period of several years following disturbance, the regenerating trees will shade and outcompete any migrating wetland vegetation species. Our results suggest that complex interactions between disturbance, biotic resistance, and slope help determine the potential for marsh transgression.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2021.782643","usgsCitation":"Walters, D., Carr, J., Hockaday, A., Jones, J.A., McFarland, E., Kovalenko, K., Kirwan, M.L., Cahoon, D., and Guntenspergen, G.R., 2021, Experimental tree mortality does not induce marsh transgression in a Chesapeake Bay low-lying coastal forest: Frontiers in Marine Science, v. 8, 782643, 12 p., https://doi.org/10.3389/fmars.2021.782643.","productDescription":"782643, 12 p.","ipdsId":"IP-131666","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":450046,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.782643","text":"Publisher Index Page"},{"id":436096,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V4NJXW","text":"USGS data release","linkHelpText":"Environmental and Vegetation Data from Marsh-Forest Transgression Experiment at Blackwater National Wildlife Refuge, MD, USA"},{"id":393409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay low-lying coastal forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.640869140625,\n              38.933775528197195\n            ],\n            [\n              -75.70678710937499,\n              38.64261790634527\n            ],\n            [\n              -75.79467773437499,\n              38.556757147352215\n            ],\n            [\n              -75.94848632812499,\n              39.08743603215882\n            ],\n            [\n              -75.772705078125,\n              39.69873414348139\n            ],\n            [\n              -76.19018554687499,\n              39.86758762451019\n            ],\n            [\n              -76.82739257812501,\n              39.42770738465604\n            ],\n            [\n              -77.508544921875,\n              38.47079371120381\n            ],\n            [\n              -77.508544921875,\n              37.09900294387622\n            ],\n            [\n              -76.695556640625,\n              36.712467243386264\n            ],\n            [\n              -76.03637695312499,\n              36.500805317604765\n            ],\n            [\n              -75.55297851562499,\n              36.94111143010772\n            ],\n            [\n              -75.06958007812499,\n              38.14319750166763\n            ],\n            [\n              -75.09155273437499,\n              38.72837591823977\n            ],\n            [\n              -75.421142578125,\n              39.07037913108751\n            ],\n            [\n              -75.640869140625,\n              38.933775528197195\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2021-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Walters, David 0000-0002-5836-681X waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-5836-681X","contributorId":270366,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":829154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hockaday, Alyssa","contributorId":270368,"corporation":false,"usgs":false,"family":"Hockaday","given":"Alyssa","email":"","affiliations":[],"preferred":false,"id":829156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Joshua A","contributorId":150553,"corporation":false,"usgs":false,"family":"Jones","given":"Joshua","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":829157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McFarland, Eliza 0000-0002-7459-3318","orcid":"https://orcid.org/0000-0002-7459-3318","contributorId":270370,"corporation":false,"usgs":false,"family":"McFarland","given":"Eliza","email":"","affiliations":[],"preferred":false,"id":829158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kovalenko, Katya 0000-0001-7363-212X","orcid":"https://orcid.org/0000-0001-7363-212X","contributorId":270372,"corporation":false,"usgs":false,"family":"Kovalenko","given":"Katya","email":"","affiliations":[{"id":56155,"text":"Natural Resources Research Institute, University of Minnesota, Duluth","active":true,"usgs":false}],"preferred":false,"id":829159,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kirwan, Matthew L.","contributorId":191373,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matthew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":829160,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829161,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829162,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227478,"text":"70227478 - 2021 - Spatial network clustering reveals elk population structure and local variation in prevalence of chronic wasting disease","interactions":[],"lastModifiedDate":"2022-01-19T12:58:47.519847","indexId":"70227478","displayToPublicDate":"2021-12-09T06:55:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Spatial network clustering reveals elk population structure and local variation in prevalence of chronic wasting disease","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Spatial organization plays prominent roles in disease transmission, genetics, and demography of wildlife populations and is therefore an important consideration not only for wildlife management, but also for inference about populations and processes. We used hierarchical agglomerative clustering of a spatial graph network to partition Wind Cave National Park (WICA) into five regions used by 163 female elk (<i>Cervus elaphus</i>) marked with global positioning system collars during 2005–08 and 2011–13. We grouped elk based on differential use of the five regions, developed a priori models for inter-group variation in the occurrence of chronic wasting disease (CWD), and used Akaike's information criterion to compare models and stratify regions. Previous descriptions of elk population structure, which have been based on social contact or overlap of individual ranges, have distinguished spatially disjunct population subsets. Constructing hierarchical partitions of the landscape enabled us to also discern and describe overlapping and nested subsets. During 2016–18, apparent park-wide prevalence of CWD was 0.18 (90% CI = [0.146, 0.182]); however, prevalence within three spatial strata used primarily by different elk ranged from 0.03 ([0.008, 0.074]) to 0.29 ([0.211, 0.375]). In context with published estimates of recruitment, predation, and anthropogenic mortality, such differences in prevalence equate to increasing local abundance of elk in southwestern WICA, stable to declining abundance in the west/northwest, and rapidly declining abundance in the east. Despite the modest size of WICA (11,357 ha), park-wide averages conflate effects of elk distribution and disease, obscuring spatial patterns with profound implications for study and management of elk and CWD. Graph networks have been used widely in ecology to describe such phenomena as social relationships, connectivity of habitat patches, animal movements, and the spread of disease. Extension to partitioning of geographic range is straightforward but entails different considerations. We discuss allocation of sampling effort, construction of an initial partition, specification of a model for graph cohesion, selection of a clustering algorithm, and identification of useful partitions.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3781","usgsCitation":"Sargeant, G., Wild, M.A., Schroeder, G.M., Powers, J.G., and Galloway, N., 2021, Spatial network clustering reveals elk population structure and local variation in prevalence of chronic wasting disease: Ecosphere, v. 12, no. 12, e03781, 16 p., https://doi.org/10.1002/ecs2.3781.","productDescription":"e03781, 16 p.","ipdsId":"IP-111896","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488645,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3781","text":"Publisher Index Page"},{"id":436100,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VPV6FO","text":"USGS data release","linkHelpText":"Supporting data: Spatial network clustering reveals elk population structure and local variation in prevalence of chronic wasting disease at Wind Cave National Park, 2005--18"},{"id":394503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Wind Cave National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.56399536132812,\n              43.481822852999905\n            ],\n            [\n              -103.34152221679688,\n              43.481822852999905\n            ],\n            [\n              -103.34152221679688,\n              43.64005063334696\n            ],\n            [\n              -103.56399536132812,\n              43.64005063334696\n            ],\n            [\n              -103.56399536132812,\n              43.481822852999905\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Sargeant, Glen A. 0000-0003-3845-8503","orcid":"https://orcid.org/0000-0003-3845-8503","contributorId":219538,"corporation":false,"usgs":true,"family":"Sargeant","given":"Glen A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":831122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wild, Margaret A.","contributorId":225083,"corporation":false,"usgs":false,"family":"Wild","given":"Margaret","email":"","middleInitial":"A.","affiliations":[],"preferred":true,"id":831123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schroeder, Gregory M.","contributorId":271190,"corporation":false,"usgs":false,"family":"Schroeder","given":"Gregory","email":"","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":831124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powers, Jenny G.","contributorId":10710,"corporation":false,"usgs":true,"family":"Powers","given":"Jenny","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":831125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Galloway, Nathan L.","contributorId":271191,"corporation":false,"usgs":false,"family":"Galloway","given":"Nathan L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":831126,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227178,"text":"70227178 - 2021 - Stock composition of the historical New York Bight Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) intercept fishery revealed through microsatellite analysis of archived spines","interactions":[],"lastModifiedDate":"2022-01-04T16:41:05.447053","indexId":"70227178","displayToPublicDate":"2021-12-07T10:01:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Stock composition of the historical New York Bight Atlantic sturgeon (<i>Acipenser oxyrinchus oxyrinchus </i>) intercept fishery revealed through microsatellite analysis of archived spines","title":"Stock composition of the historical New York Bight Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) intercept fishery revealed through microsatellite analysis of archived spines","docAbstract":"<p><span>A targeted commercial fishery for Atlantic Sturgeon&nbsp;</span><i>Acipenser oxyrinchus oxyrinchus</i><span>&nbsp;once operated in the New York Bight, where it was assumed that most harvested Atlantic Sturgeon were natal to the Hudson River population. However, more recent evidence suggests that the fishery may have been targeting a mixed-stock aggregation, in which case harvested Atlantic Sturgeon could have been comprised of individuals from multiple populations throughout the species’ range. Although there is now a moratorium on Atlantic Sturgeon harvest in the New York Bight, modern molecular approaches provide an opportunity to use archived tissues to perform a retrospective mixed-stock analysis on the fishery. Genomic DNA extracted from archived fin spines from 80 Atlantic Sturgeon collected nearly 30 years ago suggests that the fishery primarily harvested individuals from the Hudson River population. However, based on individual-based assignment tests, our results indicate that the fishery also harvested individuals from at least eight other populations located throughout the species’ range. This study highlights how archival hard parts that were previously used for age and growth analyses can be employed for retrospective genetic analyses. Further, because the New York Bight harbors relatively high concentrations of Atlantic Sturgeon, the study shows how localized management decisions can influence Atlantic Sturgeon conservation at rangewide scales. When integrated with more recent knowledge of species ecology, these analyses can be used to evaluate the efficacy of previous management strategies and understand the effects of historical processes on contemporary demography.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10187","usgsCitation":"White, S.L., Johnson, R.L., Lubinski, B.A., Eackles, M.S., Secor, D.H., and Kazyak, D., 2021, Stock composition of the historical New York Bight Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) intercept fishery revealed through microsatellite analysis of archived spines: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 13, no. 6, p. 720-727, https://doi.org/10.1002/mcf2.10187.","productDescription":"8 p.","startPage":"720","endPage":"727","ipdsId":"IP-126143","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":450069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10187","text":"Publisher Index Page"},{"id":393866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"New York Bight","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.89978027343749,\n              40.63896734381723\n            ],\n            [\n              -73.9324951171875,\n              40.41976938144622\n            ],\n            [\n              -74.168701171875,\n              39.223742741391305\n            ],\n            [\n              -72.89978027343749,\n              40.63896734381723\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":829934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Robin L. 0000-0003-4314-3792 rjohnson1@usgs.gov","orcid":"https://orcid.org/0000-0003-4314-3792","contributorId":224717,"corporation":false,"usgs":true,"family":"Johnson","given":"Robin","email":"rjohnson1@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":829935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":829936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eackles, Michael S. 0000-0001-5624-5769 meackles@usgs.gov","orcid":"https://orcid.org/0000-0001-5624-5769","contributorId":218936,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":829937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Secor, David H.","contributorId":179379,"corporation":false,"usgs":false,"family":"Secor","given":"David","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":829938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":829939,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70226731,"text":"70226731 - 2021 - Reproductive health and endocrine disruption in smallmouth bass (Micropterus dolomieu) from the Lake Erie drainage, Pennsylvania, USA","interactions":[],"lastModifiedDate":"2021-12-08T12:55:37.263109","indexId":"70226731","displayToPublicDate":"2021-12-04T06:51:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive health and endocrine disruption in smallmouth bass (Micropterus dolomieu) from the Lake Erie drainage, Pennsylvania, USA","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Smallmouth bass<span>&nbsp;</span><i>Micropterus dolomieu</i><span>&nbsp;</span>were sampled from three sites within the Lake Erie drainage (Elk Creek, Twentymile Creek, and Misery Bay, an embayment in Presque Isle Bay). Plasma, tissues for histopathological analyses, and liver and testes preserved in RNALater® were sampled from 30 smallmouth bass (of both sexes) at each site. Liver and testes samples were analyzed for transcript abundance with Nanostring nCounter® technology. Evidence of estrogenic endocrine disruption was assessed by the presence and severity of intersex (testicular oocytes; TO) and concentrations of plasma vitellogenin in male fish. Abundance of 17 liver transcripts associated with reproductive function, endocrine activity, and contaminant detoxification pathways and 40 testes transcripts associated with male and female reproductive function, germ cell development, and steroid biosynthesis were also measured. Males with a high rate of TO (87–100%) and plasma vitellogenin were noted at all sites; however, TO severity was greatest at the site with the highest agricultural land cover. Numerous transcripts were differentially regulated among the sites and patterns of transcript abundance were used to better understand potential risk factors for estrogenic endocrine disruption. The results of this study suggest endocrine disruption is prevalent in this region and further research would benefit to identify the types of contaminants that may be associated with the observed biological effects.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10661-021-09654-2","usgsCitation":"Walsh, H.L., Rafferty, S.D., Gordon, S.E., and Blazer, V., 2021, Reproductive health and endocrine disruption in smallmouth bass (Micropterus dolomieu) from the Lake Erie drainage, Pennsylvania, USA: Environmental Monitoring and Assessment, v. 194, 3, 19 p., https://doi.org/10.1007/s10661-021-09654-2.","productDescription":"3, 19 p.","ipdsId":"IP-121627","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":450093,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-021-09654-2","text":"Publisher Index Page"},{"id":436105,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RXDWGD","text":"USGS data release","linkHelpText":"Biological variables and liver and testes transcript abundance from smallmouth bass sampled in the Lake Erie drainage, Pennsylvania (2016)"},{"id":392625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.52978515625,\n              41.74672584176937\n            ],\n            [\n              -79.771728515625,\n              42.00848901572399\n            ],\n            [\n              -79.78271484375,\n              42.35854391749705\n            ],\n            [\n              -80.52978515625,\n              42.07376224008719\n            ],\n            [\n              -80.52978515625,\n              41.74672584176937\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"194","noUsgsAuthors":false,"publicationDate":"2021-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":828014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rafferty, Sean D. 0000-0001-5752-4380","orcid":"https://orcid.org/0000-0001-5752-4380","contributorId":269843,"corporation":false,"usgs":false,"family":"Rafferty","given":"Sean","email":"","middleInitial":"D.","affiliations":[{"id":56039,"text":"PA Sea Grant","active":true,"usgs":false}],"preferred":false,"id":828047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gordon, Stephanie E. 0000-0002-6292-2612 sgordon@usgs.gov","orcid":"https://orcid.org/0000-0002-6292-2612","contributorId":200931,"corporation":false,"usgs":true,"family":"Gordon","given":"Stephanie","email":"sgordon@usgs.gov","middleInitial":"E.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":828048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":828015,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70226623,"text":"sir20205052 - 2021 - Simulation of potential water allocation changes, Cape May County, New Jersey","interactions":[],"lastModifiedDate":"2022-04-14T16:01:23.125816","indexId":"sir20205052","displayToPublicDate":"2021-12-03T15:15:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5052","displayTitle":"Simulation of Potential Water Allocation Changes, Cape May County, New Jersey","title":"Simulation of potential water allocation changes, Cape May County, New Jersey","docAbstract":"<p>Saltwater intrusion and declining water levels have been a water-supply problem in Cape May County, New Jersey, for decades. Cape May County is surrounded by saltwater on three sides. Several communities in the county have only one aquifer from which freshwater withdrawals can be made, and that sole source is threatened by saltwater intrusion and (or) substantial declines in water levels caused by groundwater withdrawals. Growth of the year-round and summer tourism populations have caused water demand for some purveyors to approach the full-allocation withdrawal rates set by the New Jersey Department of Environmental Protection, leading these purveyors to request increases in allocations. Simulated water levels resulting from withdrawals including proposed increases in allocations by four purveyors and a shift of some withdrawals from one aquifer to another by a fifth purveyor were compared to simulated baseline water levels with withdrawals at 2012 full-allocation rates.</p><p>The Lower Township Scenario simulates proposed full-allocation withdrawals of 1,079 million gallons per year (Mgal/yr) from the Cohansey aquifer, 211 Mgal/yr (24 percent) higher than the 2012 full allocation withdrawals. Lower Township Scenario simulated water levels are between 2 and 4 feet (ft) lower than those of the shallow-aquifer-system Baseline Scenario simulation in much of Lower Township. The simulated 250-milligrams per liter (mg/L) isochlor is a maximum of 750 ft farther eastward than the simulated position in the shallow-aquifer-system Baseline Scenario, and the isochlor is simulated to be 700 ft from the northwestern-most Lower Township Municipal Utility Authority well at the airport in 2050.</p><p>The Wildwood Scenario simulates proposed full-allocation withdrawals of 388 Mgal/yr at the Wildwood Water Utility Rio Grande well field in Middle Township from the Rio Grande water-bearing zone (upper Kirkwood Formation) and 776 Mgal/yr from the Atlantic City 800-foot sand (lower Kirkwood Formation). Simulated water levels in the Atlantic City 800-foot sand near the well field are 30–55 ft lower than in the deep-aquifer-system Baseline Scenario, more than 15 ft lower south and west of Cape May Court House, and 5–10 ft lower between Cape May Court House and Woodbine and Upper Township.</p><p>The Avalon Scenario simulates proposed full-allocation withdrawals from the Atlantic City 800-foot sand in Avalon Borough of 495 Mgal/yr, which is 141 Mgal/yr (40 percent) higher than the 2012 full-allocation withdrawals. The Cape May Court House Scenario simulates proposed full-allocation withdrawals near Cape May Court House from the Atlantic City 800-foot sand of 495 Mgal/yr, which is 150 Mgal/yr (64 percent) higher than 2012 full-allocation withdrawals. The Strathmere Scenario simulates proposed full-allocation withdrawals in Strathmere from the Atlantic City 800-foot sand of 30 Mgal/yr, which is 11 Mgal/yr (58 percent) higher than 2012 full-allocation withdrawals. All three of these scenarios generally show simulated water levels to be less than 10 ft lower compared to the deep-aquifer-system Baseline Scenario.</p><p>The Combined Scenario simulates proposed full-allocation withdrawals, including increased withdrawals from the Atlantic City 800-foot sand in all four locations—the Rio Grande well field, Avalon, Cape May Court House, and Strathmere. Water levels from the Combined Scenario are 40–65 ft lower than those from the deep-aquifer-system Baseline Scenario near the Wildwood Water Utility Rio Grande well field, 15–40 ft lower south of Dennis Township, and 5–15 ft lower in much of the rest of Cape May County.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205052","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Carleton, G.B., 2021, Simulation of potential water allocation changes, Cape May County, New Jersey: U.S. Geological Survey Scientific Investigations Report 2020–5052, 39 p., https://doi.org/10.3133/sir20205052.","productDescription":"Report: vi, 39 p.; Data Release","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-044323","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":392461,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20205052/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":392262,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2020/5052/sir20205052.XML"},{"id":392260,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KC1PGV","text":"USGS data release","linkHelpText":"SEAWAT, MODFLOW-2000, and SHARP models used to simulate potential water-allocation changes, Cape May County, New Jersey"},{"id":392261,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2020/5052/images/"},{"id":392259,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5052/sir20205052.pdf","text":"Report","size":"4.35 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5052"},{"id":392258,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5052/coverthb.jpg"}],"country":"United States","state":"New Jersey","county":"Cape May County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.99404907226562,\n              38.92843409820933\n            ],\n            [\n              -74.91439819335938,\n              38.91133881927712\n            ],\n            [\n              -74.82376098632812,\n              38.92629741358616\n            ],\n            [\n              -74.77844238281249,\n              38.9807627650163\n            ],\n            [\n              -74.74925994873047,\n              39.041319605445445\n            ],\n            [\n              -74.95010375976561,\n              39.0882354732187\n            ],\n            [\n              -74.99404907226562,\n              38.92843409820933\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/nj-water\" data-mce-href=\"https://www.usgs.gov/centers/nj-water\">New Jersey Water Science Center</a><br>U.S. Geological Survey<br>3450 Princeton Pike, Suite 110<br>Lawrenceville, NJ 08648</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Simulation of Groundwater Flow</li><li>Simulated Effects of Proposed Groundwater Withdrawals</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2021-12-03","noUsgsAuthors":false,"publicationDate":"2021-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Carleton, Glen B. 0000-0002-7666-4407 carleton@usgs.gov","orcid":"https://orcid.org/0000-0002-7666-4407","contributorId":3795,"corporation":false,"usgs":true,"family":"Carleton","given":"Glen","email":"carleton@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":827520,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70226204,"text":"sir20205049 - 2021 - The water quality of selected streams in the Catskill and Delaware water-supply watersheds in New York, 1999–2009","interactions":[],"lastModifiedDate":"2022-04-14T16:01:49.915395","indexId":"sir20205049","displayToPublicDate":"2021-12-02T12:30:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5049","displayTitle":"The Water Quality of Selected Streams in the Catskill and Delaware Water-Supply Watersheds in New York, 1999–2009","title":"The water quality of selected streams in the Catskill and Delaware water-supply watersheds in New York, 1999–2009","docAbstract":"<p>From October 1, 1999, through September 30, 2009, water-quality samples were collected, and discharge was measured at 13 streamgages within the Catskill and Delaware watersheds of the New York City water supply system. The Catskill and Delaware watersheds supply about 90 percent of the water needed by 9 million customers. On average, 59 water-quality samples were collected at each station during each year of the study and analyzed for major ions and nutrients. At six stations, suspended-sediment samples were collected during 2001–09, and turbidity samples were collected during 2003–09. Surficial geology exerted a strong influence on the water quality of streams in the region. Stations in the Cannonsville Reservoir watershed, which has a high percentage of glacial till, had circumneutral stream water, whereas stations in the Neversink Reservoir watershed, which has a high percentage of sedimentary bedrock outcrops, had acidic stream water. All stations showed significant decreases in stream water sulfate concentrations during the study period; however, only the most acidic watersheds showed decreases in hydrogen-ion concentration. Two of the most acidic stations, East Branch Neversink River northeast of Denning and Rondout Creek above Red Brook at Peekamoose also had significant decreasing trends in inorganic monomeric aluminum concentrations, a form of aluminum that is toxic to some aquatic biota at concentrations greater than 0.05 milligram per liter. Three stations in the Neversink Reservoir watershed had inorganic monomeric aluminum concentrations that commonly exceeded 0.05 milligram per liter during the study period. At the West Branch Neversink River at Winnisook Lake near Frost Valley station concentrations of inorganic monomeric aluminum exceeded 0.3 milligram per liter at the beginning of the study, but never exceeded that level during the last 2 water years of the study. The East Branch Neversink River northeast of Denning and Rondout Creek above Red Brook at Peekamoose stations also showed decreases in inorganic monomeric aluminum concentrations during the study. The reduction in inorganic monomeric aluminum concentrations were the result of reductions in stream acidity. The reductions in stream acidity were driven by reductions in sulfate concentrations in precipitation in response to emission regulations included in title IV of the Clean Air Act Amendments of 1990 (42 USC §7651).</p><p>Results indicated increasing trends in sodium and chloride concentrations for all stations with high road density relative to other stations included in the study, which could be a future water-quality concern in the region. The Town Brook watershed southeast of Hobart, the only study watershed that contained dairy farms, had a significant decreasing trend in total dissolved phosphorus concentration that may have been a result of agricultural best management practices implemented on farms by the Watershed Agricultural Program. The watershed with the second highest total phosphorus and total dissolved phosphorus concentrations was a completely forested, but previously agricultural, watershed (Town Brook tributary southeast of Hobart) that had not been actively farmed in about 80 years. The phosphorus concentrations at the Town Brook tributary southeast of Hobart station indicated that previously agricultural watersheds may continue to leach phosphorus to streams for many decades after farming has ceased.</p><p>At six of the study watersheds, samples of suspended-sediment and turbidity were also collected. The watersheds with the highest suspended-sediment concentrations and turbidity also had the strongest relations between discharge and suspended-sediment concentrations. In general, the relations between discharge and turbidity were not as strong as the relations between discharge and suspended-sediment concentrations. Results indicated strong relations between suspended-sediment concentrations and turbidity levels at each station; however, relations were less strong in the agricultural watersheds. Suspended-sediment concentrations appeared to decrease at the Stony Clove Creek below Ox Clove at Chichester station following a stream stabilization project completed during the study period. However, we were unable to directly attribute the decrease to the stabilization project; there were many complicating variables that made a direct attribution difficult, such as a series of large storms shortly after the stabilization project was completed and differences in flow conditions before and after the project. However, the results have led to additional monitoring within the watershed specifically designed to determine the effectiveness of stream stabilization projects for reducing suspended-sediment concentrations and turbidity in the upper Esopus Creek watershed, the primary source of water to the Ashokan Reservoir. Water quality in the Catskill and Delaware watersheds is generally improving, and although sodium and chloride concentrations increased at some of the stations from 1999 to 2009, the concentrations in 2009 were still well below U.S. Environmental Protection Agency drinking water standards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205049","collaboration":"Prepared in cooperation with New York City Department of Environmental Protection and the U.S. Environmental Protection Agency","usgsCitation":"McHale, M.R., Siemion, J., and Murdoch, P.S., 2021, The water quality of selected streams in the Catskill and Delaware water-supply watersheds in New York, 1999–2009: U.S. Geological Survey Scientific Investigations Report 2020–5049, 48 p., https://doi.org/10.3133/sir20205049.","productDescription":"viii, 48 p.","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-060224","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":392036,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20205049/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":391750,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2020/5049/sir20205049.XML"},{"id":391749,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2020/5049/images/"},{"id":391748,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5049/sir20205049.pdf","text":"Report","size":"6.70 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5049"},{"id":391747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5049/coverthb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Catskill Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.16845703125001,\n              41.672911819602085\n            ],\n            [\n              -73.93798828125,\n              41.672911819602085\n            ],\n            [\n              -73.93798828125,\n              42.43156587257916\n            ],\n            [\n              -75.16845703125001,\n              42.43156587257916\n            ],\n            [\n              -75.16845703125001,\n              41.672911819602085\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results and Discussion</li><li>Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-11-22","noUsgsAuthors":false,"publicationDate":"2021-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"McHale, Michael R. 0000-0003-3780-1816 mmchale@usgs.gov","orcid":"https://orcid.org/0000-0003-3780-1816","contributorId":1735,"corporation":false,"usgs":true,"family":"McHale","given":"Michael","email":"mmchale@usgs.gov","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siemion, Jason 0000-0001-5635-6469 jsiemion@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-6469","contributorId":127562,"corporation":false,"usgs":true,"family":"Siemion","given":"Jason","email":"jsiemion@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murdoch, Peter S. 0000-0001-9243-505X pmurdoch@usgs.gov","orcid":"https://orcid.org/0000-0001-9243-505X","contributorId":2453,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter","email":"pmurdoch@usgs.gov","middleInitial":"S.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":826864,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70226808,"text":"70226808 - 2021 - Bar-tailed Godwits Limosa lapponica in Alaska: Revisiting population estimates from the staging grounds","interactions":[],"lastModifiedDate":"2021-12-14T13:24:55.071184","indexId":"70226808","displayToPublicDate":"2021-12-01T07:20:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"title":"Bar-tailed Godwits Limosa lapponica in Alaska: Revisiting population estimates from the staging grounds","docAbstract":"<p>Bar-tailed Godwits Limosa lapponica baueri breed in Alaska and spend the nonbreeding season primarily in eastern Australia and New Zealand. Long-term declines spurred recent surveys at nonbreeding sites that yielded a revised population estimate of ~126,000 godwits. We conducted aerial surveys for Bar-tailed Godwits in 2018 and 2019 at pre-migratory staging sites in western Alaska. Counts from similar surveys in 1997 accorded with counts of baueri from the nonbreeding range. Instead of relying on observer estimates of flock sizes, we enumerated 97% of our survey totals using digital photography. Our survey results differed markedly between 2018 (39,751) and 2019 (100,926), differences that reflected a relatively late autumn survey period in 2018, when some godwits were likely to have left the area, compared to 2019. In contrast to the 1997 surveys, we found few Bar-tailed Godwits at estuaries on the Alaska Peninsula. However, we counted nearly 93,000 godwits (~92% of survey total) along ~60 km of coast at the Kuskokwim River Delta in 2019, a value constituting nearly three-quarters of the subspecies’ current population estimate. Our survey totals for 2019 were in agreement with contemporaneous counts at austral nonbreeding sites, demonstrating how aerial surveys from Alaska can provide useful insights into counts conducted elsewhere in the subspecies’ range. When combined with measures of reproductive output, estimates of seasonal survival, and dedicated studies of the movement and survival of juvenile godwits, future surveys from Alaska can further contribute to efforts to determine mechanisms of population changes in baueri Bar-tailed Godwits.</p>","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00251","usgsCitation":"Ruthrauff, D.R., Pohlen, Z., Wilson, H.M., and Johnson, J., 2021, Bar-tailed Godwits Limosa lapponica in Alaska: Revisiting population estimates from the staging grounds: Wader Study, v. 128, no. 3, p. 255-264, https://doi.org/10.18194/ws.00251.","productDescription":"10 p.","startPage":"255","endPage":"264","ipdsId":"IP-127284","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":436110,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZS5Y6N","text":"USGS data release","linkHelpText":"Aerial 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Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":828355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlen, Zak","contributorId":270063,"corporation":false,"usgs":false,"family":"Pohlen","given":"Zak","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":828356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Heather M.","contributorId":37056,"corporation":false,"usgs":false,"family":"Wilson","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":13236,"text":"U.S. Fish and Wildlife Service, Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":828357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, James","contributorId":173063,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","affiliations":[],"preferred":false,"id":828358,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227358,"text":"70227358 - 2021 - California deepwater investigations and groundtruthing (Cal DIG) I: Fault and shallow geohazard analysis offshore Morro Bay","interactions":[],"lastModifiedDate":"2022-01-11T13:36:26.035503","indexId":"70227358","displayToPublicDate":"2021-11-30T07:32:15","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"California deepwater investigations and groundtruthing (Cal DIG) I: Fault and shallow geohazard analysis offshore Morro Bay","docAbstract":"The California Deepwater Investigations and Groundtruthing (Cal DIG) I project focuses on the potential seafloor hazards and impacts of alternative energy infrastructure in the outer continental shelf region offshore of south-central California. This is one of three reports covering a single study area located between Monterey and Point Conception, California in federal waters outside of the State of California three nautical mile limit and in water depths of 400 to 1500 meters. The goal of this report is to provide baseline geologic interpretations of the area for the purpose of improving regional models of shallow geologic hazards and sedimentary processes. Geophysical and geological data from this project will help to address important issues associated with marine spatial planning and potential offshore infrastructure development, such as offshore floating wind turbines. Datasets covered in this report include comprehensive high-resolution sub-bottom (multi-channel and Chirp seismic reflection profiles), seafloor (bathymetry), and sampling (piston, gravity, and vibracore) data collected in 2018-2019 during a series of seven seagoing geological and geophysical surveys. Specifically, this report outlines interpretation of subsurface geologic structure from the geophysical data, details preliminary core analysis results related to fluid, gas, and sediment transport activity, provides interpretations of the current geohazards in the area, and suggests next steps for improving interpretations of geohazard processes.\n\nSpecific targets of geohazard interest in the study area are geological structures such as faults and folds, seafloor pockmarks within a large field (the Big Sur pockmark field), submarine channels, and mass wasting (slope failure) features. The vast majority of faults and other structures in the study occur within sediment and rock formations we interpret to be pre-Quaternary (older than 2.58 Myr BP), and thus we interpret that these structures are unlikely to present significant current hazard to seabed infrastructure, although we note that the numerous structures mapped in the study area may have the potential to become reactivated. Similarly, we find no new evidence of Holocene (younger than 11,650 years BP) fluid or gas advection in the Big Sur pockmark field. However, such fluid and gas hazards are currently difficult to assess, as additional analyses and sampling of existing core data is needed to better understand pockmark formation processes and potential gas accumulations we have mapped in the subsurface. Mass wasting along the eastern and western edges of the Santa Lucia Bank during earthquakes, as well as sediment transport down the Lucia Chica and San Simeon channels, are among the most significant, although still likely infrequent during the Holocene, hazards to seabed stability in the study area. Further analyses of the existing cores, including radiocarbon dating, stable isotope, and compositional analyses, are again needed to better understand the timing and sources of the numerous sand deposits found throughout the study area, which may have been transported downslope due to mass wasting and/or earthquake shaking processes.","language":"English","publisher":"Bureau of Ocean Energy Management","collaboration":"Bureau of Ocean Energy Management (BOEM), Monterey Bay Aquarium Research Institute (MBARI), National Oceanic and Atmospheric Administration (NOAA)","usgsCitation":"Walton, M.A., Paull, C.K., Cochrane, G.R., Addison, J.A., Gwiazda, R., Kennedy, D.J., Lundsten, E.M., and Papesh, A.G., 2021, California deepwater investigations and groundtruthing (Cal DIG) I: Fault and shallow geohazard analysis offshore Morro Bay, v, 47 p.","productDescription":"v, 47 p.","ipdsId":"IP-125021","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":394179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":394167,"type":{"id":15,"text":"Index Page"},"url":"https://espis.boem.gov/final%20reports/BOEM_2021-044.pdf"}],"country":"United States","state":"California","otherGeospatial":"Morro Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.92651367187499,\n              35.2899081007595\n            ],\n            [\n              -120.77888488769531,\n              35.2899081007595\n            ],\n            [\n              -120.77888488769531,\n              35.40696093270201\n            ],\n            [\n              -120.92651367187499,\n              35.40696093270201\n            ],\n            [\n              -120.92651367187499,\n              35.2899081007595\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walton, Maureen A. L. 0000-0001-8496-463X","orcid":"https://orcid.org/0000-0001-8496-463X","contributorId":211025,"corporation":false,"usgs":true,"family":"Walton","given":"Maureen","email":"","middleInitial":"A. L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paull, Charlie K","contributorId":271050,"corporation":false,"usgs":false,"family":"Paull","given":"Charlie","email":"","middleInitial":"K","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":830574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":830576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gwiazda, Roberto","contributorId":147193,"corporation":false,"usgs":false,"family":"Gwiazda","given":"Roberto","email":"","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":830577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Daniel J. 0000-0002-9118-1243","orcid":"https://orcid.org/0000-0002-9118-1243","contributorId":271051,"corporation":false,"usgs":true,"family":"Kennedy","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830579,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lundsten, Eve M.","contributorId":147191,"corporation":false,"usgs":false,"family":"Lundsten","given":"Eve","email":"","middleInitial":"M.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":830578,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Papesh, Antoinette Gabrielle 0000-0002-1704-0557","orcid":"https://orcid.org/0000-0002-1704-0557","contributorId":224642,"corporation":false,"usgs":true,"family":"Papesh","given":"Antoinette","email":"","middleInitial":"Gabrielle","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":830580,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70226518,"text":"ofr20211102 - 2021 - Capacity assessment for Earth Monitoring, Analysis, and Prediction (EarthMAP) and future integrated monitoring and predictive science at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2021-11-30T11:35:33.150711","indexId":"ofr20211102","displayToPublicDate":"2021-11-29T09:55:56","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1102","displayTitle":"Capacity Assessment for Earth Monitoring, Analysis, and Prediction (EarthMAP) and Future Integrated Monitoring and Predictive Science at the U.S. Geological Survey","title":"Capacity assessment for Earth Monitoring, Analysis, and Prediction (EarthMAP) and future integrated monitoring and predictive science at the U.S. Geological Survey","docAbstract":"<h1>Executive Summary</h1><p>Managers of our Nation’s resources face unprecedented challenges driven by the convergence of increasing, competing societal demands and a changing climate that affects the stability, vulnerability, and predictability of those resources. To help meet these challenges, the scientific community must take advantage of all available technologies, data, and integrative Earth systems modeling capacity to better inform resource and risk management decisions. This is the overarching goal of the U.S. Geological Survey (USGS) Earth Monitoring, Analysis, and Prediction (EarthMAP) vision: “By 2030, the USGS will deliver well integrated observations and predictions of the future state of natural systems—water, ecosystems, energy, minerals, hazards—at regional and national scales, working primarily with federal, state, and academic partners to develop and operate the capability” (U.S. Geological Survey, 2021).</p><p>Providing more integrated Earth systems science and actionable information to decision makers, stakeholders, and the public requires a better understanding of the depth and distribution of existing capacity (capabilities, tools, and techniques) across the Bureau. Identifying existing capacity is also a critical first step toward gap analysis and targeted investments to increase capacity over time. The USGS formed a Capacity Assessment Team (CAT) and charged it with (1) conducting a Request for Information (RFI) to identify existing USGS expertise and activities supportive of integrated and predictive science to inform decision making, (2) developing a strategy and proof-of-concept for a continuously updated capacity assessment capability, and (3) identifying lessons learned to inform development of best practices for future capacity assessment efforts.</p><p>The RFI took the form of a survey, with content guided by the science and technology needs identified in a USGS report titled “Grand Challenges for Integrated U.S. Geological Survey Science—A Workshop Report” (Jenni and others, 2017). The 44-question survey provided respondents the ability to rate their level of experience with a suite of priority disciplines, analysis and modeling approaches, technologies, and stakeholder engagement strategies and to enter optional narrative text for supporting context. An introductory portion focused on general science capacity assessment, followed by three sections targeting capabilities related to the foundational components of EarthMAP: (1) data and information integration, (2) integrated predictive science, and (3) actionable information.</p><p>The survey results provided a high-level snapshot of USGS capacity in the targeted areas. Respondents (1,035 individuals) represented approximately 13 percent of the USGS across all mission areas and regions. Seventy-four percent of the respondents held a science-focused position title and the remainder had position titles in information technology, computer science, management, administrative, or other (contractors, volunteers, emeritus, and unknown). To provide greater insight into respondent capabilities and activities, information from the U.S. Department of the Interior and USGS enterprise information systems were used to further characterize topical expertise and organizational associations of survey respondents. To address the ongoing need to assess the Bureau’s capacity to address integrated predictive science priorities, the CAT developed a software-based proof-of-concept called the Integrated Science Assessment Information Database (iSAID) for assembling various information sources together toward making the full extent of USGS capabilities and scientific assets available for routine capacity assessment. This proof-of-concept is intended to serve as a catalyst for further development. The process of implementing the EarthMAP capacity assessment survey, analyzing survey responses, and developing the proof-of-concept resulted in lessons learned, findings, and recommendations. Example scenarios throughout the report demonstrate how capacity assessment data can inform science planning. Three overarching findings and recommendations are:</p><p>(1) Finding: Capacity is limited in some critical disciplines, skills, and technology applications, but “sufficient” depends on the question and the need relative to availability at a given point in time.</p><p>Recommendation: Develop an on-demand capacity assessment framework that enables rapid identification and evaluation of existing and available expertise to support decision needs as they arise.</p><p>(2) Finding: Institutional barriers and lack of awareness constrain the ability of USGS staff to adopt new technologies, collaborate across administrative boundaries, and deliver actionable information to stakeholders in a timely manner. However, these barriers are not universally experienced.</p><p>Recommendation: Pursue more targeted inquiries to clarify which institutional barriers are obstructing the adoption of new technologies and approaches or the sharing of expertise and equipment across organizational and regional boundaries. These inquiries should inform USGS leadership, mission areas, and regions whether policies can be revised or whether a lack of understanding is creating perceived obstacles. Highlight cases when staff have successfully adopted new technologies and approaches to advance EarthMAP priorities and provide actionable information in a timely manner to spread awareness of how perceived obstacles can be navigated and overcome when appropriate.</p><p>(3) Finding: Examples of people and projects integrating across disciplines and scales and applying advanced approaches to meet complex stakeholder needs exist. Such examples provide transfer value across the spectrum from approach to decision making. Many projects, already underway, appear to meet elements of the EarthMAP vision, and the USGS has people who can provide leadership in multiple types of specific integrated science efforts.</p><p>Recommendation: Use these findings as a starting point for near-term strategic planning for integrated science. Highlight, incentivize, and build on existing interdisciplinary predictive science and information delivery activities across the USGS to advance toward further realization of an EarthMAP capacity.</p><p>The CAT efforts to develop and assess existing USGS capacity to advance the EarthMAP vision revealed a fundamental challenge for not only this effort but any effort to assess existing capacity: A considerable amount of thought, time, and effort is required to survey and assess capabilities and tools available to support a given need, yet best results are still likely to provide an incomplete assessment. To better meet the frequent need to assess capabilities, tools, products, and projects that address an expressed strategic priority, the CAT proposes the concept of an on-demand capacity assessment framework supported by a software package that dynamically pulls and integrates information from existing USGS information systems and public domain registries. Although existing USGS enterprise information systems currently lack the structure, cross-system consistency, interoperability, and stability to support a continuously updated capacity assessment capability, we identify reasonable near-term steps to improve the utility of information gathered on expertise and project capacity and to improve the consistency and completeness of information and the ability of USGS systems to share that information. The ability to search and characterize this information will make future assessments of capacity faster, more complete, more efficient, and more targeted. This approach would grow the Bureau’s capacity knowledge over time, iteratively improving the ability to access, leverage, and synthesize existing capabilities and assets as well as identify and fill critical gaps. The greatest promise for developing integrated science could lie in linking across existing projects and expertise to create a multi-project capacity for addressing large, complex environmental issues.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211102","usgsCitation":"Keisman, J.L., Bristol, S., Brown, D.S., Flickinger, A.K., Gunther, G., Murdoch, P.S., Musgrove, M., Nelson, J.C., Steyer, G.D., Thomas, K.A., and Waite, I.R., 2021, Capacity assessment for Earth Monitoring, Analysis, and Prediction (EarthMAP) and future integrated monitoring and predictive science at the U.S. Geological Survey: U.S. Geological Survey Open-File Report 2021-1102, 110 p., https://doi.org/10.3133/ofr20211102.","productDescription":"Report: v, 110 p.; Data Release","numberOfPages":"110","onlineOnly":"Y","ipdsId":"IP-129970","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":392008,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BB5NMZ","linkHelpText":"USGS Earthmap Capacity Assessment Dataset"},{"id":392006,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1102/images"},{"id":392005,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1102/ofr20211102.xml"},{"id":392004,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1102/ofr20211102.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":392003,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1102/covrthb.jpg"}],"contact":"<p><a data-mce-href=\"https://www.usgs.gov/connect/staff-profiles\" href=\"https://www.usgs.gov/connect/staff-profiles\" target=\"_blank\" rel=\"noopener\">Director</a>, <br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey&nbsp;</a> <br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Executive Summary&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Methods&nbsp;&nbsp;</li><li>Overview of Results&nbsp;&nbsp;</li><li>Key Findings, Lessons Learned, and Recommendations&nbsp;&nbsp;</li><li>Acknowledgments&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Glossary&nbsp;&nbsp;</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-11-29","noUsgsAuthors":false,"publicationDate":"2021-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Keisman, Jennifer L. 0000-0001-6808-9193 jkeisman@usgs.gov","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":198107,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"jkeisman@usgs.gov","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bristol, Sky 0000-0003-1682-4031 sbristol@usgs.gov","orcid":"https://orcid.org/0000-0003-1682-4031","contributorId":192087,"corporation":false,"usgs":true,"family":"Bristol","given":"Sky","email":"sbristol@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":false,"id":827177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, David S. 0000-0002-0917-6278 dsbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-0917-6278","contributorId":3808,"corporation":false,"usgs":true,"family":"Brown","given":"David","email":"dsbrown@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":827178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flickinger, Allison K. 0000-0002-8638-2569 aflickinger@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-2569","contributorId":193268,"corporation":false,"usgs":true,"family":"Flickinger","given":"Allison","email":"aflickinger@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":827179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gunther, Gregory L. 0000-0002-1761-1604 ggunther@usgs.gov","orcid":"https://orcid.org/0000-0002-1761-1604","contributorId":1581,"corporation":false,"usgs":true,"family":"Gunther","given":"Gregory","email":"ggunther@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":827180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murdoch, Peter S. 0000-0001-9243-505X pmurdoch@usgs.gov","orcid":"https://orcid.org/0000-0001-9243-505X","contributorId":2453,"corporation":false,"usgs":true,"family":"Murdoch","given":"Peter","email":"pmurdoch@usgs.gov","middleInitial":"S.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":827181,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Musgrove, MaryLynn 0000-0003-1607-3864","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":223710,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nelson, John C. 0000-0002-7105-0107 jcnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-7105-0107","contributorId":149361,"corporation":false,"usgs":true,"family":"Nelson","given":"John","email":"jcnelson@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":827183,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":827184,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":827185,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827186,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70226743,"text":"70226743 - 2021 - Long-term Pseudogymnoascus destructans surveillance data reveal factors contributing to pathogen presence","interactions":[],"lastModifiedDate":"2023-06-23T13:15:26.338878","indexId":"70226743","displayToPublicDate":"2021-11-25T06:49:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Long-term Pseudogymnoascus destructans surveillance data reveal factors contributing to pathogen presence","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The disease white-nose syndrome (WNS) was first recognized in upstate New York in 2006 and has since spread across much of the United States (U.S.), causing severe mortality in several North American bat species. To aid in the identification and monitoring of at-risk bat populations, we evaluate factors associated with the presence of the causative fungal agent of WNS,<span>&nbsp;</span><i>Pseudogymnoascus destructans</i><span>&nbsp;</span>(<i>Pd</i>), in the continental United States. We obtained<span>&nbsp;</span><i>Pd</i><span>&nbsp;</span>samples through hibernaculum surveys conducted from 2013 to 2020, with all samples analyzed at the U.S. Geological Survey National Wildlife Health Center. Using generalized additive models, we estimated the likelihood of<span>&nbsp;</span><i>Pd</i><span>&nbsp;</span>presence under three different hypotheses: human-mediated, species-mediated, and hibernaculum type. In addition to hypothesis-related predictor variables, a subset of models included a smoothed nonseparable effect of longitude and latitude and a smoothed effect of time since study onset to account for spatial and temporal autocorrelation. Under all hypotheses, models indicated probability of<span>&nbsp;</span><i>Pd</i><span>&nbsp;</span>detection is best described by the smoothed nonseparable effect of longitude and latitude and a smoothed effect of time since onset of this study. After accounting for spatial and temporal autocorrelations, only hibernaculum type significantly affected<span>&nbsp;</span><i>Pd</i><span>&nbsp;</span>presence, with mines and culverts/tunnels less likely to contain<span>&nbsp;</span><i>Pd</i><span>&nbsp;</span>compared with caves. Reduced likelihood of<span>&nbsp;</span><i>Pd</i><span>&nbsp;</span>presence in mines and culverts/tunnels bodes well for bats of the western and southern United States, where use of these hibernaculum types is more common. While our findings can help guide monitoring and management efforts, the potential for long-distance dispersal combined with variation in community composition and hibernation ecology between the western and eastern United States necessitates the continued monitoring of<span>&nbsp;</span><i>Pd</i><span>&nbsp;</span>presence.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3808","usgsCitation":"Grider, J., Russell, R., Ballmann, A., and Hefley, T.J., 2021, Long-term Pseudogymnoascus destructans surveillance data reveal factors contributing to pathogen presence: Ecosphere, v. 12, no. 11, e03808, 10 p.; Data release, https://doi.org/10.1002/ecs2.3808.","productDescription":"e03808, 10 p.; Data release","ipdsId":"IP-127581","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":490086,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index 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States\"}}]}","volume":"12","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Grider, John","contributorId":269924,"corporation":false,"usgs":false,"family":"Grider","given":"John","affiliations":[{"id":56047,"text":"USGS National Wildlife Health Center","active":true,"usgs":false}],"preferred":false,"id":828104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":219536,"corporation":false,"usgs":true,"family":"Russell","given":"Robin E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":828105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":828106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":828107,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70233614,"text":"70233614 - 2021 - Gene expression profiles in two razor clam populations: Discerning drivers of population status","interactions":[],"lastModifiedDate":"2022-07-27T11:53:13.903306","indexId":"70233614","displayToPublicDate":"2021-11-24T06:50:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10135,"text":"Life","active":true,"publicationSubtype":{"id":10}},"title":"Gene expression profiles in two razor clam populations: Discerning drivers of population status","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">With rapidly changing marine ecosystems, shifts in abundance and distribution are being documented for a variety of intertidal species. We examined two adjacent populations of Pacific razor clams (<span class=\"html-italic\">Siliqua patula</span>) in lower Cook Inlet, Alaska. One population (east) supported a sport and personal use fishery, but this has been closed since 2015 due to declines in abundance, and the second population (west) continues to support commercial and sport fisheries. We used gene expression to investigate potential causes of the east side decline, comparing razor clam physiological responses between east and west Cook Inlet. The target gene profile used was developed for razor clam populations in Alaska based on physiological responses to environmental stressors. In this study, we identified no differences of gene expression between east and west populations, leading to two potential conclusions: (1) differences in factors capable of influencing physiology exist between the east and west and are sufficient to influence razor clam populations but are not detected by the genes in our panel, or (2) physiological processes do not account for the differences in abundance, and other factors such as predation or changes in habitat may be impacting the east Cook Inlet population.<span>&nbsp;</span></div>","language":"English","publisher":"MDPI","doi":"10.3390/life11121288","usgsCitation":"Coletti, H.A., Bowen, L., Ballachey, B., Wilson, T.L., Waters-Dynes, S.C., Booz, M., Counihan, K.L., Hollmen, T.E., and Pister, B., 2021, Gene expression profiles in two razor clam populations: Discerning drivers of population status: Life, v. 11, no. 12, 1288, 16 p., https://doi.org/10.3390/life11121288.","productDescription":"1288, 16 p.","ipdsId":"IP-136116","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":450145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/life11121288","text":"Publisher Index Page"},{"id":404480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.390625,\n              59.265880628258095\n            ],\n            [\n              -149.23828125,\n              59.265880628258095\n            ],\n            [\n              -149.23828125,\n              61.270232790000634\n            ],\n            [\n              -155.390625,\n              61.270232790000634\n            ],\n            [\n              -155.390625,\n              59.265880628258095\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Coletti, Heather A.","contributorId":187561,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":847614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":847615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballachey, Brenda 0000-0003-1855-9171","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":264735,"corporation":false,"usgs":false,"family":"Ballachey","given":"Brenda","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":847616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Tammy L. 0000-0002-3672-8277","orcid":"https://orcid.org/0000-0002-3672-8277","contributorId":293684,"corporation":false,"usgs":true,"family":"Wilson","given":"Tammy","email":"","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":847617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":847618,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Booz, Michael","contributorId":293685,"corporation":false,"usgs":false,"family":"Booz","given":"Michael","email":"","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":847619,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Counihan, Katrina L","contributorId":293687,"corporation":false,"usgs":false,"family":"Counihan","given":"Katrina","email":"","middleInitial":"L","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":847620,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":847621,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pister, Benjamin","contributorId":219669,"corporation":false,"usgs":false,"family":"Pister","given":"Benjamin","email":"","affiliations":[{"id":40046,"text":"Ocean Alaska Science and Learning Center, National Park Service","active":true,"usgs":false}],"preferred":false,"id":847622,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70226889,"text":"70226889 - 2021 - Crustal seismic attenuation of the central United States and Intermountain West","interactions":[],"lastModifiedDate":"2021-12-20T12:49:32.93433","indexId":"70226889","displayToPublicDate":"2021-11-23T06:47:03","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Crustal seismic attenuation of the central United States and Intermountain West","docAbstract":"<div class=\"article-section__content en main\"><p>Seismic attenuation is generally greater in the western United States (WUS) than the central and eastern United States (CEUS), but the nature of this transition or location of this boundary is poorly constrained. We conduct crustal seismic (Lg) attenuation tomography across a region that stretches from the CEUS across the Rocky Mountains to the Basin and Range using a total of 115,870 amplitude measurements from 106 earthquakes recorded on 544 stations across five frequency bands spanning 0.5–16&nbsp;Hz. Similar to previous studies, we find higher attenuation in the WUS (<i>Q</i><sub>0</sub>&nbsp;∼&nbsp;190) than the nominally CEUS (<i>Q</i><sub>0</sub>&nbsp;∼&nbsp;250) and comparatively high attenuation on the Gulf Coast (<i>Q</i><sub>0</sub>&nbsp;∼&nbsp;175). Our models defy simple east versus west regionalization, however. Heterogeneity within the Rocky Mountain region—low attenuation in the Colorado Plateau interior and Wyoming Craton (<i>Q</i><sub>0</sub>&nbsp;∼&nbsp;230) compared to high attenuation in the southern Rockies (<i>Q</i><sub>0</sub>&nbsp;∼&nbsp;110)—exceeds the gross differences between the CEUS and western United States. These province-scale patterns are readily interpreted in terms of intrinsic attenuation. The boundary between the Colorado Plateau and Basin and Range hosts the highest attenuation imaged in the study area (<i>Q</i><sub>0</sub>&nbsp;∼&nbsp;90), consistent with localized scattering across contrasting crustal structure. Focused high attenuation in the southern Rockies may represent the effects of represent<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>partial crustal melt. Within the CEUS, second-order bands of comparatively high attenuation align with the Proterozoic Yavapai-Mazatzal suture zone and Midcontinent Rift. This complex attenuation structure defies broad regionalization and suggests a need for path-specific models near these boundaries and for critical infrastructure.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB022097","usgsCitation":"Levandowski, W., Boyd, O.S., AbdelHameid, D., and McNamara, D., 2021, Crustal seismic attenuation of the central United States and Intermountain West: Journal of Geophysical Research: Solid Earth, v. 126, no. 12, e2021JB022097, 22 p., https://doi.org/10.1029/2021JB022097.","productDescription":"e2021JB022097, 22 p.","ipdsId":"IP-128679","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":393092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.89453125,\n              25.24469595130604\n            ],\n            [\n              -91.23046875,\n              25.24469595130604\n            ],\n            [\n              -91.23046875,\n              49.439556958940855\n            ],\n            [\n              -116.89453125,\n              49.439556958940855\n            ],\n            [\n              -116.89453125,\n              25.24469595130604\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Levandowski, Will 0000-0003-4903-5012","orcid":"https://orcid.org/0000-0003-4903-5012","contributorId":218205,"corporation":false,"usgs":false,"family":"Levandowski","given":"Will","affiliations":[{"id":37163,"text":"Colorado College","active":true,"usgs":false}],"preferred":false,"id":828655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":828656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"AbdelHameid, Danya","contributorId":270201,"corporation":false,"usgs":false,"family":"AbdelHameid","given":"Danya","email":"","affiliations":[{"id":56106,"text":"The College of William and Mary","active":true,"usgs":false}],"preferred":false,"id":828657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McNamara, Daniel 0000-0001-6860-0350","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":265165,"corporation":false,"usgs":false,"family":"McNamara","given":"Daniel","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":828658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256774,"text":"70256774 - 2021 - Comparing harvest management alternatives for Eastern Wild Turkeys in Alabama","interactions":[],"lastModifiedDate":"2024-09-06T15:53:28.030104","indexId":"70256774","displayToPublicDate":"2021-11-19T10:48:39","publicationYear":"2021","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":"137-2021","title":"Comparing harvest management alternatives for Eastern Wild Turkeys in Alabama","docAbstract":"<p>Eastern wild turkey (<i>Meleagris gallopavo silvestris</i>; hereafter turkey) is an important game species that is pursued by thousands of Alabama hunters each spring. Biologists in Alabama and other parts of the southeastern U.S. believe that turkey populations have been declining for at least two decades. Managers in many state agencies and organizations believe that liberal spring bag limits and the timing of hunting seasons are contributing to this decline. We used an expert-driven approach to develop models of turkey populations that predicted the outcomes of spring harvest management alternatives. The models were based on recent research and expert judgement regarding the effects of spring hunting regulations on turkey vital rates. We then used the relationship between the expected spring density of adult males and expected harvest elicited from experts to compare the values of the alternatives over a 30-year period. Our model suggests that if later opening dates result in increased turkey productivity and increased harvest, the result will be larger turkey populations, increased harvest, and greater value to stakeholders. In 84% of deterministic projections from 27,951 different initial populations, the highest valued alternative was to open seasons later, reduce bag limits, and shorten the season. This alternative also was best in 48% of projections that included parametric uncertainty. These results were used to produce a decision-support tool, that could be used to guide decisions about spring hunting regulations for turkeys in Alabama, and updated using the results of monitoring programs. Further research is needed to more precisely estimate the causes and effects of spring hunting seasons on turkey vital rates.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Grand, J.B., Silvano, A., Barnett, S., Moore, C., and Stewart, B., 2021, Comparing harvest management alternatives for Eastern Wild Turkeys in Alabama: Cooperator Science Series 137-2021, ii, 37 p.","productDescription":"ii, 37 p.","ipdsId":"IP-125260","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432130,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/comparing-harvest-management-alternatives-eastern-wild-turkeys-alabama","linkFileType":{"id":5,"text":"html"}},{"id":433564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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