{"pageNumber":"125","pageRowStart":"3100","pageSize":"25","recordCount":165720,"records":[{"id":70261250,"text":"dr1203 - 2024 - Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2021","interactions":[],"lastModifiedDate":"2025-12-22T20:37:57.872296","indexId":"dr1203","displayToPublicDate":"2024-12-09T10:05:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1203","displayTitle":"Streamflow, Water Quality, and Constituent Loads and Yields, Scituate Reservoir Drainage Area, Rhode Island, Water Year 2021","title":"Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2021","docAbstract":"<p>As part of a long-term cooperative program to monitor water quality within the Scituate Reservoir drainage area, the U.S. Geological Survey in cooperation with Providence Water (formerly Providence Water Supply Board) collected streamflow and water-quality data in tributaries to the Scituate Reservoir, Rhode Island. Streamflow and concentrations of chloride and sodium estimated from records of specific conductance for 16 tributaries were used to calculate loads of chloride and sodium during water year 2021 (October 1, 2020, through September 30, 2021). Water-quality samples were collected by Providence Water at 36 sampling stations on tributaries to the Scituate Reservoir during water year 2021. These water-quality data are summarized by using values of central tendency and are used, in combination with measured (or estimated) streamflows, to calculate loads and yields of selected water-quality constituents for water year 2021.</p><p>Annual mean streamflows for monitoring stations in this study ranged from 0.37 to 32.4 cubic feet per second during water year 2021. At the 16 continuous-record streamgages, tributaries transported about 2,900 metric tons (t) of chloride and 1,800 t of sodium to the Scituate Reservoir; annual chloride yields for the tributaries ranged from 15 to 110 metric tons per square mile (t/mi<sup>2</sup>), and annual sodium yields ranged from 10 to 68 t/mi<sup>2</sup>. At the stations where water-quality samples were collected by Providence Water, the medians of the median daily loads were 180 kilograms per day for chloride, 12 grams per day as nitrogen for nitrite, less than 700 grams per day as nitrogen for nitrate, 410 grams per day as orthophosphate for phosphate, 71,000 million colony forming units per day for coliform bacteria, and less than 2,000 million colony forming units per day for <i>Escherichia coli</i>. The medians of the median yields were 67 kilograms per day per square mile for chloride, 4.2 grams per day per square mile as nitrogen for nitrite, 400 grams per day per square mile as nitrogen for nitrate, 180 grams per day per square mile as orthophosphate as phosphate, 46,000 million colony forming units per day per square mile for coliform bacteria, and 1,000 million colony forming units per day per square mile for <i>Escherichia coli</i>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1203","collaboration":"Prepared in cooperation with Providence Water","usgsCitation":"Smith, K.P., and Spaetzel, A.B., 2024, Streamflow, water quality, and constituent loads and yields, Scituate Reservoir drainage area, Rhode Island, water year 2021: U.S. Geological Survey Data Report 1203, 34 p., https://doi.org/10.3133/dr1203.","productDescription":"Report: vi, 34 p.; Data Release","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-157776","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":497894,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118078.htm","linkFileType":{"id":5,"text":"html"}},{"id":464722,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WK8N0F","text":"USGS data release","linkHelpText":"Water-quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir (ver. 3.0, 2023)"},{"id":464720,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1203/dr1203.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1203 XML"},{"id":464719,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1203/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1203 HTML"},{"id":464717,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1203/coverthb.jpg"},{"id":464718,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1203/dr1203.pdf","text":"Report","size":"3.57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1203 PDF"},{"id":464721,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1203/images/"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir Drainage Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.6124559054163,\n              41.732581620415004\n            ],\n            [\n              -71.57280936185028,\n              41.74634136521371\n            ],\n            [\n              -71.53961690677208,\n        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quality in the Scituate Reservoir drainage area in Rhode Island to collect streamflow and water-quality data from 16 tributaries to the reservoir during the water year 2021. These data were used to estimate loads of chloride and sodium. Additionally, water-quality samples were collected at 36 sampling stations on the tributaries, and the data were summarized using central tendency values.</p><ul><li>Annual mean streamflows for monitoring stations ranged from 0.37 to 32.4 cubic feet per second.</li><li>Tributaries transported about 2,900 metric tons of chloride and 1,800 metric tons of sodium to the reservoir.</li><li>Annual yields ranged from 15 to 110 metric tons per square mile for chloride and 10 to 68 metric tons per square mile for sodium.</li><li>The medians of the median daily loads were 180 kilograms per day for chloride, 12 grams per day as nitrogen for nitrite, less than 700 grams per day as nitrogen for nitrate, 410 grams per day as orthophosphate for phosphate, 71,000 million colony forming units per day for coliform bacteria, and less than 2,000 million colony forming units per day for <em>Escherichia coli</em>.</li><li>The medians of the median yields were 67 kilograms per day per square mile for chloride, 4.2 grams per day per square mile as nitrogen for nitrite, 400 grams per day per square mile as nitrogen for nitrate, 180 grams per day per square mile as orthophosphate for phosphate, 46,000 million colony forming units per day per square mile for coliform bacteria, and 1,000 million colony forming units per day per square mile for <em>Escherichia coli</em>.</li></ul>","publicationDate":"2024-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Kirk 0000-0003-0269-474X","orcid":"https://orcid.org/0000-0003-0269-474X","contributorId":204404,"corporation":false,"usgs":true,"family":"Smith","given":"Kirk","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spaetzel, Alana B. 0000-0002-9871-812X","orcid":"https://orcid.org/0000-0002-9871-812X","contributorId":240935,"corporation":false,"usgs":true,"family":"Spaetzel","given":"Alana","email":"","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920119,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274652,"text":"70274652 - 2024 - New York State climate impacts assessment chapter 05: Ecosystems","interactions":[],"lastModifiedDate":"2026-04-02T15:19:38.585958","indexId":"70274652","displayToPublicDate":"2024-12-09T09:57:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":801,"text":"Annals of the New York Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"New York State climate impacts assessment chapter 05: Ecosystems","docAbstract":"<p><span>The people of New York have long benefited from the state's diversity of ecosystems, which range from coastal shorelines and wetlands to extensive forests and mountaintop alpine habitat, and from lakes and rivers to greenspaces in heavily populated urban areas. These ecosystems provide key services such as food, water, forest products, flood prevention, carbon storage, climate moderation, recreational opportunities, and other cultural services. This chapter examines how changes in climatic conditions across the state are affecting different types of ecosystems and the services they provide, and considers likely future impacts of projected climate change. The chapter emphasizes how climate change is increasing the vulnerability of ecosystems to existing stressors, such as habitat fragmentation and invasive species, and highlights opportunities for New Yorkers to adapt and build resilience.</span></p>","language":"English","publisher":"New York Academy of Sciences","doi":"10.1111/nyas.15203","usgsCitation":"Hess, S., Burns, D., Boudinot, G., Brown-Lima, C., Corwin, J., Foppert, J., Robinson, G., Rose, K.C., Schlesinger, M., Shuford, R., and Stevens, A., 2024, New York State climate impacts assessment chapter 05: Ecosystems: Annals of the New York Academy of Sciences, v. 1542, no. 1, p. 253-340, https://doi.org/10.1111/nyas.15203.","productDescription":"88 p.","startPage":"253","endPage":"340","ipdsId":"IP-156511","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":502066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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York\",\"nation\":\"USA  \"}}]}","volume":"1542","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Hess, Sheila","contributorId":369172,"corporation":false,"usgs":false,"family":"Hess","given":"Sheila","affiliations":[{"id":87729,"text":"CC Environment and Planning","active":true,"usgs":false}],"preferred":false,"id":958568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boudinot, Garrett","contributorId":369177,"corporation":false,"usgs":false,"family":"Boudinot","given":"Garrett","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":958570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown-Lima, Carrie","contributorId":236893,"corporation":false,"usgs":false,"family":"Brown-Lima","given":"Carrie","email":"","affiliations":[],"preferred":false,"id":958571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corwin, Jason","contributorId":369181,"corporation":false,"usgs":false,"family":"Corwin","given":"Jason","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":958572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foppert, John","contributorId":369182,"corporation":false,"usgs":false,"family":"Foppert","given":"John","affiliations":[{"id":39895,"text":"Paul Smith's College","active":true,"usgs":false}],"preferred":false,"id":958573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, George","contributorId":140346,"corporation":false,"usgs":false,"family":"Robinson","given":"George","email":"","affiliations":[{"id":13465,"text":"Assoc. Professor, State University of New York at Albany","active":true,"usgs":false}],"preferred":false,"id":958574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rose, Kevin C.","contributorId":174809,"corporation":false,"usgs":false,"family":"Rose","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":958575,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schlesinger, Matthew D.","contributorId":342842,"corporation":false,"usgs":false,"family":"Schlesinger","given":"Matthew D.","affiliations":[{"id":61506,"text":"New York Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":958576,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shuford, Rebecca","contributorId":369187,"corporation":false,"usgs":false,"family":"Shuford","given":"Rebecca","affiliations":[{"id":56145,"text":"New York Sea Grant","active":true,"usgs":false}],"preferred":false,"id":958577,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stevens, Amanda","contributorId":369214,"corporation":false,"usgs":false,"family":"Stevens","given":"Amanda","affiliations":[],"preferred":false,"id":958608,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70261421,"text":"70261421 - 2024 - Trophic transfer of fipronil residues to black-footed ferrets: Implications for ferret safety, flea control, and plague mitigation","interactions":[],"lastModifiedDate":"2025-03-25T15:47:50.417728","indexId":"70261421","displayToPublicDate":"2024-12-09T08:41:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Trophic transfer of fipronil residues to black-footed ferrets: Implications for ferret safety, flea control, and plague mitigation","docAbstract":"<p><span>Sylvatic plague, caused by the flea-borne bacterium&nbsp;</span><i>Yersinia pestis</i><span>, is an invasive disease in North America that causes reductions of native fauna and transforms ecosystems. Fipronil baits have shown promise in reducing flea loads on prairie dogs&nbsp;</span><i>Cynomys</i><span>&nbsp;spp. for plague mitigation. Many species depend on prairie dogs and their ecological influences, including the black-footed ferret&nbsp;</span><i>Mustela nigripes</i><span>&nbsp;(ferret), an obligate predator of prairie dogs. To better understand how fipronil affects ferrets, we offered carcass portions from black-tailed prairie dogs&nbsp;</span><i>C. ludovicianus</i><span>&nbsp;that had consumed fipronil bait (0.005% fipronil by weight) to captive ferrets and monitored their health. We fed carcass portions of three prairie dogs to four adult ferrets for 1 week. No ill effects were observed in the ferrets. We collected scat from the ferrets before, during, and after their feeding on treated prairie dogs. We evaluated potential effects of ferret scat on larval fleas, which feed on organic matter. Fipronil residues were not detected in ferret scat samples collected before treatment. During and shortly after treatment, ferret scat contained 3.76 ng/g fipronil and 13.75 ng/g fipronil sulfone, on average, demonstrating trophic transfer of the residues from prey to predator. We presented 0.5 mg of ferret scat to each of 96 larval&nbsp;</span><i>Oropsylla montana</i><span>&nbsp;(Siphonaptera: Ceratophyllidae) and assessed survival rates over 24 h. When exposed to ferret scat lacking fipronil residues, 85% of larvae survived. Survival was reduced to 61% and 35% for larvae contacting or consuming scat with fipronil-residue, respectively. Fipronil residues in scat from a variety of species on prairie dog colonies, perhaps especially the prairie dogs, may assist in flea control and plague mitigation. Hosts eliminate fipronil residues, and fipronil residues in the environment degrade over time, reducing but not eliminating potential concerns with bioaccumulation.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/JFWM-23-069","usgsCitation":"Tretten, T.N., Eads, D.A., Hughes, J.P., Dooley, G.P., and Biggins, D.E., 2024, Trophic transfer of fipronil residues to black-footed ferrets: Implications for ferret safety, flea control, and plague mitigation: Journal of Fish and Wildlife Management, v. 15, no. 2, p. 461-469, https://doi.org/10.3996/JFWM-23-069.","productDescription":"9 p.","startPage":"461","endPage":"469","ipdsId":"IP-152709","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466722,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-069","text":"Publisher Index Page"},{"id":464942,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Tretten, Tyler N.","contributorId":346935,"corporation":false,"usgs":false,"family":"Tretten","given":"Tyler","email":"","middleInitial":"N.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":920551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, John P.","contributorId":317320,"corporation":false,"usgs":false,"family":"Hughes","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":920552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dooley, Gregory P.","contributorId":347021,"corporation":false,"usgs":false,"family":"Dooley","given":"Gregory","email":"","middleInitial":"P.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":920553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":920554,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70266447,"text":"70266447 - 2024 - Retention of T‐bar anchor tags by adult steelhead during their upstream migration","interactions":[],"lastModifiedDate":"2025-05-07T15:42:02.23731","indexId":"70266447","displayToPublicDate":"2024-12-08T08:35:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Retention of T‐bar anchor tags by adult steelhead during their upstream migration","docAbstract":"<p>Objective: </p><p>T-bar anchor tags can be used to obtain recapture data from anglers, directly estimate exploitation, and evaluate population dynamics. Unfortunately, their use by biologists to study anadromous salmonid fisheries is limited. Two hurdles to adoption include the functional difficulty of tagging large anadromous salmonids using conventional tagging equipment and a lack of information on tag loss by large anadromous salmonids and how it changes over time. As such, our objectives were to (1) describe a T-bar anchor tagging system modified to study adult steelhead <i>Oncorhynchus mykiss</i> (i.e., anadromous Rainbow Trout) and (2) present an instantaneous tag loss model for steelhead that allows estimation of tag loss over time. </p><p>Methods: First, we developed a modified tagging system by tagging hatchery-obtained steelhead carcasses and live, resident Rainbow Trout &gt;500 mm using a variety of hardware and tag dimensions. Next, we double-tagged adult steelhead captured at the Lower Granite Dam adult fish trap, Washington, USA. We then used data from 182 recaptured steelhead to fit an instantaneous tag loss model. Last, we investigated whether steelhead tag loss was related to body length. </p><p>Result: Tag loss was generally low within the time period under study (i.e., up to 221 days between release and recapture). The estimated probability of tag loss was 0.034 at release, 0.044 at one month, and 0.113 at eight months. We failed to detect significant differences in tag loss parameters between two subsets of small (&lt;720 mm) and large (≥720 mm) steelhead. </p><p>Conclusion: T-bar anchor tags are useful external tags for studying adult steelhead during their upstream migration. Because anglers can be used to provide recapture data, T-bar anchor tags may be particularly useful where angler effort is high or direct estimation of fishery exploitation is desired.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1002/nafm.11055","usgsCitation":"Voss, N.S., McCormick, J., Lubenau, W., Bowersox, B.J., Copeland, T., and Quist, M.C., 2024, Retention of T‐bar anchor tags by adult steelhead during their upstream migration: North American Journal of Fisheries Management, v. 44, no. 6, p. 1385-1391, https://doi.org/10.1002/nafm.11055.","productDescription":"7 p.","startPage":"1385","endPage":"1391","ipdsId":"IP-162952","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lower Granite Dam, Snake River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.7515022516423,\n              47.195723484659\n            ],\n            [\n              -119.7515022516423,\n              46.04149363558699\n            ],\n            [\n              -117.09892399655794,\n              46.04149363558699\n            ],\n            [\n              -117.09892399655794,\n              47.195723484659\n            ],\n            [\n              -119.7515022516423,\n              47.195723484659\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Voss, Nicholas S.","contributorId":300117,"corporation":false,"usgs":false,"family":"Voss","given":"Nicholas","email":"","middleInitial":"S.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":935996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Joshua L.","contributorId":354615,"corporation":false,"usgs":false,"family":"McCormick","given":"Joshua L.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":935997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubenau, William J.","contributorId":354616,"corporation":false,"usgs":false,"family":"Lubenau","given":"William J.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowersox, Brett J.","contributorId":265299,"corporation":false,"usgs":false,"family":"Bowersox","given":"Brett","email":"","middleInitial":"J.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":935999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Copeland, Timothy","contributorId":265301,"corporation":false,"usgs":false,"family":"Copeland","given":"Timothy","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":936000,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936001,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262028,"text":"70262028 - 2024 - Using remote sensing to identify habitat for wintering Henslow's Sparrows (Centronyx henslowii)","interactions":[],"lastModifiedDate":"2025-01-10T16:25:20.923883","indexId":"70262028","displayToPublicDate":"2024-12-06T10:17:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7509,"text":"The Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using remote sensing to identify habitat for wintering Henslow's Sparrows (<i>Centronyx henslowii</i>)","title":"Using remote sensing to identify habitat for wintering Henslow's Sparrows (Centronyx henslowii)","docAbstract":"<p><span>The Henslow's Sparrow (</span><i>Centronyx henslowii</i><span>) is a grassland bird species that overwinters in the southeastern United States and is a species of conservation concern due to population declines primarily caused by habitat loss. Henslow's Sparrows often overwinter in marginal habitats, such as powerline rights-of-way (ROWs), clear cuts, and field edges that provide some of their desired habitat characteristics, such as low-to-no tree cover and a diverse herbaceous understory. Using remote sensing methods, we evaluated the habitat characteristics of Henslow's Sparrow–occupied ROWs in southeastern Georgia. We calculated 22 satellite imagery metrics from Sentinel 2-L2 10 m resolution imagery, including single-pixel variables (e.g., Enhanced Vegetation Index, EVI) as well as “image texture” metrics that represent spatial heterogeneity. Using Random Forest models, we evaluated whether satellite imagery metrics could be used to discriminate between Henslow's Sparrow used areas (delineated from telemetry data) and surrounding available areas. Satellite imagery metrics were successful in predicting habitat characteristics in the ROWs (as evaluated by out-of-bag error and 3 goodness-of-fit tests), with image texture metrics performing better than single-pixel metrics. Image texture metrics were 9 of the top 10 most important predictors of habitat use in the best performing model that had a 500 m available buffer around use areas (out-of-bag error rate 21.21%). The most important image texture metric, cluster shade, was positively correlated with tree cover; Henslow's Sparrows were more likely to use areas with intermediate levels of cluster shade. From our results, we concluded that image texture metrics derived from 10 m satellite imagery could be used to predict sites that have suitable overwintering habitat for Henslow's Sparrows, but only at coarse resolutions and broader extents (hundreds of meters to kilometers). Therefore, this tool could be used to identify other ROWs (and possibly non-ROWs) with habitat that may support this and other declining grassland species.</span></p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/23-00049","usgsCitation":"Moore, S., Dwire, A., Prebyl, T., Schneider, T., and Hunter, E.A., 2024, Using remote sensing to identify habitat for wintering Henslow's Sparrows (Centronyx henslowii): The Wilson Journal of Ornithology, v. 136, no. 4, p. 436-447, https://doi.org/10.1676/23-00049.","productDescription":"12 p.","startPage":"436","endPage":"447","ipdsId":"IP-154594","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":465994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Moody Forest Wildlife Management Area, Townsend Wildlife Management Area, Paulks Pasture Wildlife Management Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.57525588321172,\n              32.48251517887438\n            ],\n            [\n              -82.66578654540206,\n              31.015534685580576\n            ],\n            [\n              -81.36949067181612,\n              30.978771137717928\n            ],\n            [\n              -80.93094224410345,\n              32.04324987692853\n            ],\n            [\n              -82.57525588321172,\n              32.48251517887438\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"136","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Sierra A.","contributorId":347927,"corporation":false,"usgs":false,"family":"Moore","given":"Sierra A.","affiliations":[{"id":81880,"text":"Department of Fish and Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":922751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dwire, Abigail W.","contributorId":347929,"corporation":false,"usgs":false,"family":"Dwire","given":"Abigail W.","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":922752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prebyl, Thomas J.","contributorId":347930,"corporation":false,"usgs":false,"family":"Prebyl","given":"Thomas J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":922753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schneider, Todd M.","contributorId":347932,"corporation":false,"usgs":false,"family":"Schneider","given":"Todd M.","affiliations":[{"id":36378,"text":"Georgia Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":922754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922755,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70264044,"text":"70264044 - 2024 - Structured decision-making workshop: Chronic wasting disease management in free-ranging cervids in Massachusetts","interactions":[],"lastModifiedDate":"2025-03-05T16:27:26.437342","indexId":"70264044","displayToPublicDate":"2024-12-06T10:17:30","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-161-2024","title":"Structured decision-making workshop: Chronic wasting disease management in free-ranging cervids in Massachusetts","docAbstract":"<p>This document describes the results of a 2.5-day rapid decision prototype workshop that evaluated management activities for chronic wasting disease (CWD) in Massachusetts (MA) that were either proactive (i.e., actions taken prior to CWD arrival/detection) or reactive (i.e., actions taken after CWD arrival/detection). The workshop was led by members of the Wildlife Section of the MA Division of Fisheries and Wildlife (hereafter referred to as MassWildlife) and included a group of agency communications specialists and district managers. U. S. Geological Survey staff and a volunteer acted as decision facilitators and led the analysis of the decision. </p><p>Chronic wasting disease is an always fatal neurological disease that has spread across much of North America and threatens the health of deer populations in locations where it occurs (reviewed by Escobar et al. 2020). CWD can spread into new areas via two general mechanisms: (1) natural spread (e.g., dispersal of CWD-infected male white-tailed deer [Odocoileus virginianus]), and (2) anthropogenic spread (e.g., CWD spread facilitated by human intervention; Leiss et al. 2017, Escobar et al. 2020). Once CWD arrives in a state, natural resources agencies spend eight times more on CWD than agencies with no known cases; to cover these new CWD-related management activities, the natural resources agencies are typically forced to reallocate money from existing conservation priorities (Chiavacci, 2022). As of May 2024, there were 34 U.S. states and five Canadian provinces that had detected CWD positive free-ranging and/or captive animals in the family Cervidae (collectively referred to as ‘cervid’ hereafter), and the number of new states/provinces that are detecting CWD for the first time continues to grow (U. S. Geological Survey, May 2024). As of February 2024, the closest CWD positive state to MA with CWD detected in free-ranging white-tailed deer is Pennsylvania. To date, there have been no detections of CWD in MA, but testing has been limited in MA since 2012. The growing number of CWD positive states suggests that there may be increasing risk of CWD entering and establishing in MA as the number of CWD cases increases across North America. </p><p>According to a 2023 survey of hunters in MA conducted by MassWildlife, 68% of hunters were concerned about CWD entering MA, and 88% of respondents said that it was at least moderately important to keep CWD out of MA; these survey results indicate that most hunters may support CWD risk reduction actions (Martin Feehan, Massachusetts Division of Fisheries and Wildlife, oral communication, 12 Feb 2024). In addition, 23.1% of responding deer hunters in MA have hunted for cervids in CWD-positive states/provinces in the last five years (not including states/provinces that have been able to successfully eradicate CWD following a positive detection). Participants of the survey were also asked, “how many deer have you harvested that tested positive for CWD?”. A total of three respondents said that they had one deer test positive for CWD, which, when extended to the whole population of MA deer hunters, results in an estimated 32 CWD positive deer harvested in CWD-positive states and imported into MA in the last five years. When asked about how they transport harvested deer from out of state into MA, the three participants indicated either “already processed &amp; packaged” or “not applicable.” Note, that in MA, it is a violation of regulation to import whole carcasses or high-risk parts (e.g., head, brain, spinal tissues, bones) of any member of the Cervidae family (wild or captive) from a state/province that has detected CWD; it is legal to bring in deboned meat, cleaned skull caps, hides without the head, or a fixed taxidermy mount (Massachusetts Division of Fisheries and Wildlife, 2024a). </p><p>To date, testing for CWD has been limited in MA since 2012. However, the data collected from the 2023 MA hunter survey suggests that there is a real risk of CWD being imported by a MA resident who has hunted in a CWD positive state. Therefore, given the higher costs of CWD management post arrival, the potential natural spread of CWD from nearby states, and the risk of CWD introduction via humanmediated cervid movement, MassWildlife is motivated to take actions that minimize the risk of CWD introduction and spread in MA with the ultimate goal of managing thriving wildlife populations and maximizing hunter and general public satisfaction, which are both parts of the MassWildlife mission. </p><p>A 2.5-day rapid prototyping structured decision making workshop was held with MassWildlife staff to develop a decision framework for CWD management in MA. During the workshop, we defined the context and extent of CWD management activities in MA. Next, we identified four fundamental objectives that help achieve the mission of MassWildlife and that address stakeholder concerns. The fundamental objectives included: (1) maximizing hunter satisfaction and participation, (2) maximizing public satisfaction (non-consumptive), (3) maximizing health and sustainability of cervids, and (4) maximizing the efficiency of CWD management. Then, we generated a list of five alternatives (i.e., strategies) that varied the intensity of proactive and reactive actions. The five strategies were: (1) minimal proactive and minimal reactive actions, (2) intermediate proactive and intermediate reactive actions, (3) intensive proactive and intermediate reactive actions, (4) minimal proactive and intensive reactive actions, and (5) intensive proactive and intensive reactive actions. Lastly, we estimated the performance of each strategy on the fundamental objectives and assessed the overall performance of strategies relative to one another. We did so by first estimating the consequences of each alternative strategy on fundamental objectives using expert elicitation, and then, we elicited objective weights from MassWildlife staff to incorporate the relative importance of different fundamental objectives. </p><p>Given that it is unknown when CWD will arrive in MA, we evaluated the performance of alternative strategies against fundamental objectives given three distinct scenarios for time to arrival of CWD: introduction in 2.5, 7.5, or 10+ years. The preliminary results of the rapid prototype indicate that the performance of the CWD management strategies that we evaluated depends on when CWD first arrives in MA. If CWD were to arrive in 2.5 or 7.5 years from now (February, 2024), then the ‘minimal proactive and minimal reactive’ strategy performs the best on both the deer population and cost fundamental objectives (fundamental objectives 3 &amp; 4), but the ‘intensive proactive and intensive reactive’ strategy performs best on both of the human dimensions fundamental objectives (fundamental objectives 1 &amp; 2) as well as the minimize CWD prevalence objective (also related to fundamental objective 3). We also found that public trust is likely to remain high across all five alternative strategies if CWD arrives after year 10, but public trust decreases if CWD arrives in year 2.5 or 7.5. After incorporating objective weights, we found that in scenarios where CWD arrives in the near-term (in years 2.5 or 7.5), an intermediate strategy (e.g., ‘intermediate proactive and intermediate reactive’ or ‘intensive proactive and intermediate reactive’) performed best, and the ‘minimal proactive and intensive reactive’ strategy performed worst. Conversely, if CWD were to arrive after 10 years, then the ‘minimal proactive and minimal reactive’ and ‘minimal proactive and intensive reactive’ strategies performed best. Collectively, these results suggest that the decision on which alternative strategy to employ is sensitive to when CWD arrives in MA. Following the discussion of the preliminary results, we identified the following four next steps. First, we discussed how a more detailed communications plan is needed and would likely alter the performance estimates of the alternative strategies on fundamental objectives 1 &amp; 2, which were hunter and public satisfaction, respectively. The development of the communication plan would likely be easier once the alternative actions have been identified along with the audience and message. Second, a surveillance plan could be a useful tool to inform CWD management. Surveillance for CWD was performed in MA annually from 2002 to 2012 (n = 4,356 wild white-tailed deer and moose [Alces alces] samples). Limited surveillance was conducted from 2013 to 2022; and in 2023, 242 wild samples were collected. It is not clear whether MA needs a robust or minimal surveillance plan (e.g., is a minimal surveillance plan enough to detect the pathogen at the threshold that would trigger action?), or what type of invasion event the surveillance plan should target (e.g., natural vs anthropogenic spread events). The use of decision trees and a formal risk assessment may help answer these questions. Third, some of the elicited estimates from experts during this rapid prototype could be replaced with empirical data. Lastly, given that the decision was sensitive to when CWD arrived in MA and a surveillance plan would rely on the mode of introduction, forecasting and predicting the CWD invasion front and/or the likelihood of different incursion events across MA would provide valuable insights.&nbsp;</p>","language":"English","publisher":"Department of Interior, Fish and Wildlife Service","usgsCitation":"Feehan, M., Cook, J.D., McEachran, M., McCarthy, S.M., Wattles, D., Crawford, M., Huguenin, M., and DiRenzo, G.V., 2024, Structured decision-making workshop: Chronic wasting disease management in free-ranging cervids in Massachusetts: Cooperator Science Series FWS/CSS-161-2024, ii, 37 p.","productDescription":"ii, 37 p.","ipdsId":"IP-166330","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":482872,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70261231,"text":"fs20243043 - 2024 - Cryospheric sciences at the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2024-12-09T17:26:07.627409","indexId":"fs20243043","displayToPublicDate":"2024-12-06T09:50:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3043","displayTitle":"Cryospheric Sciences at the U.S. Geological Survey","title":"Cryospheric sciences at the U.S. Geological Survey","docAbstract":"<h1>Introduction</h1><p>The cryosphere is the collective parts of the Earth where water is in its frozen state and includes snow, glaciers, ice sheets, ice shelves, freshwater ice, sea ice, and permafrost. The cryosphere is a climate indicator and climate regulator. Surface cryosphere features, such as glaciers, snow, and sea ice, store freshwater and make the surface of the Earth bright white, which affects how much energy from the sun is absorbed or reflected by the planet. The subsurface cryosphere, such as permafrost and ground ice, stores water and other materials, including carbon, nutrients, heavy metals, and viruses. Carbon storage in permafrost is one way the cryosphere regulates the Earth's climate. Changes to the cryosphere indicate the state of the Earth's climate. The cryosphere spans many regions of the Earth, from subtropical regions of the Himalayas to polar regions of the Arctic and Antarctica, and intersects many of the Earth's spheres, including the lithosphere, biosphere, atmosphere, and hydrosphere.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20243043","programNote":"Land Change Science","usgsCitation":"Florentine, C., Peitzsch, E., Jones, M., Barnhart, T., and Cronin, T., 2024, Cryospheric sciences at the U.S. Geological Survey: U.S. Geological Survey Fact Sheet 2024–3043, 4 p., https://doi.org/10.3133/fs20243043.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-171605","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":464666,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3043/coverthb.jpg"},{"id":464667,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3043/fs20243043.pdf","text":"Report","size":"1.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3043"},{"id":464890,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3043/images"},{"id":464891,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3043/fs20243043.xml"},{"id":464930,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243043/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3043"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/norock\" data-mce-href=\"https://www.usgs.gov/centers/norock\">Northern Rocky Mountain Science Center</a><br>U.S. Geological Survey<br>P.O. Box 169<br>West Glacier, MT 59936</p>","tableOfContents":"<ul><li>Introduction</li><li>U.S. Geological Survey Cryospheric Sciences Expertise</li><li>Stakeholders and Effects of U.S. Geological Survey Cryospheric Sciences</li><li>Conclusion</li><li>References Cited</li></ul>","publishedDate":"2024-12-06","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":919999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":920000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Miriam C. 0000-0002-6650-7619","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":257239,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"","middleInitial":"C.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":920001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnhart, Theodore B. 0000-0002-9682-3217","orcid":"https://orcid.org/0000-0002-9682-3217","contributorId":219010,"corporation":false,"usgs":true,"family":"Barnhart","given":"Theodore","email":"","middleInitial":"B.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","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":920003,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70262027,"text":"70262027 - 2024 - A meta-analysis highlights the idiosyncratic nature of tradeoffs in laboratory models of virus evolution","interactions":[],"lastModifiedDate":"2025-01-10T15:51:46.279157","indexId":"70262027","displayToPublicDate":"2024-12-06T09:46:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5051,"text":"Virus Evolution","onlineIssn":"2057-1577","active":true,"publicationSubtype":{"id":10}},"title":"A meta-analysis highlights the idiosyncratic nature of tradeoffs in laboratory models of virus evolution","docAbstract":"<p><span>Different theoretical frameworks have been invoked to guide the study of virus evolution. Three of the more prominent ones are (i) the evolution of virulence, (ii) life history theory, and (iii) the generalism–specialism dichotomy. All involve purported tradeoffs between traits that define the evolvability and constraint of virus-associated phenotypes. However, as popular as these frameworks are, there is a surprising paucity of direct laboratory tests of the frameworks that support their utility as broadly applicable theoretical pillars that can guide our understanding of disease evolution. In this study, we conduct a meta-analysis of direct experimental evidence for these three frameworks across several widely studied virus–host systems: plant viruses, fungal viruses, animal viruses, and bacteriophages. We extracted 60 datasets from 28 studies and found a range of relationships between traits in different analysis categories (e.g., frameworks, virus–host systems). Our work demonstrates that direct evidence for relationships between traits is highly idiosyncratic and specific to the host–virus system and theoretical framework. Consequently, scientists researching viral pathogens from different taxonomic groups might reconsider their allegiance to these canons as the basis for expectation, explanation, or prediction. Future efforts could benefit from consistent definitions, and from developing frameworks that are compatible with the evidence and apply to particular biological and ecological contexts.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ve/veae105","usgsCitation":"Kabengele, K., Turner, W.C., Turner, P., and Ogbunugafor, C., 2024, A meta-analysis highlights the idiosyncratic nature of tradeoffs in laboratory models of virus evolution: Virus Evolution, v. 10, no. 1, veae105, 13 p., https://doi.org/10.1093/ve/veae105.","productDescription":"veae105, 13 p.","ipdsId":"IP-158849","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ve/veae105","text":"Publisher Index Page"},{"id":465990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kabengele, Ketty","contributorId":347923,"corporation":false,"usgs":false,"family":"Kabengele","given":"Ketty","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":922747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Paul E.","contributorId":348136,"corporation":false,"usgs":false,"family":"Turner","given":"Paul E.","affiliations":[],"preferred":false,"id":922748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogbunugafor, C. Brandon","contributorId":347925,"corporation":false,"usgs":false,"family":"Ogbunugafor","given":"C. Brandon","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":922750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270692,"text":"70270692 - 2024 - Cumulative effects assessment of restoration programs: A framework to assess achievement of regional and programmatic goals","interactions":[],"lastModifiedDate":"2025-08-22T14:35:41.354968","indexId":"70270692","displayToPublicDate":"2024-12-06T09:27:45","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-162-2024","title":"Cumulative effects assessment of restoration programs: A framework to assess achievement of regional and programmatic goals","docAbstract":"<p><span>Increasing global investments focused on conservation and restoration of natural resources aim to address challenges presented by&nbsp;</span><span class=\"glossify-tooltip-link glossify-tooltip-popup\" aria-label=\"Climate change includes both global warming driven by human-induced emissions of greenhouse gases and the resulting large-scale shifts in weather patterns. Though there have been previous periods of climatic change, since the mid-20th century humans have had an unprecedented impact on Earth's climate system and caused change on a global scale.\">climate change<span>&nbsp;</span></span><span>and biodiversity loss. Many restoration and conservation program assessments examine individual actions, assuming additive effects only, failing to acknowledge or capture potential synergistic or antagonistic effects across a region or program. Cumulative effects assessments (CEA) provide a more ecologically relevant framework to assess the outcome of large restoration efforts. These assessments are critical given the increasing frequency of projects and the potential for cross-project interaction, yet there are few efforts to document the presence and patterns of cumulative effects for large-scale restoration programs. Understanding both the individual and cumulative effects of projects within a large restoration program can also inform the conceptualization of future large-scale restoration efforts by enabling the full suite of outcomes to be evaluated and considered against no-action scenarios in future planning. Here, we describe the development of a conceptual framework for CEA from large-scale restoration efforts.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css86719022","usgsCitation":"Davenport, T.M., Comba, D.A., Dalyander, P.S., Enwright, N., Palmsten, M.L., Steyer, G., and La Peyre, M., 2024, Cumulative effects assessment of restoration programs: A framework to assess achievement of regional and programmatic goals: Cooperator Science Series CSS-162-2024, ii, 69 p., https://doi.org/10.3996/css86719022.","productDescription":"ii, 69 p.","ipdsId":"IP-167879","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.5,\n              30.75\n            ],\n            [\n              -88.5,\n              30\n            ],\n            [\n              -86,\n              30\n            ],\n            [\n              -86,\n              30.75\n            ],\n            [\n              -88.5,\n              30.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -86,\n              30.349874048713147\n            ],\n            [\n              -86,\n              29.55882236605413\n            ],\n            [\n              -84.45942059894452,\n              29.55882236605413\n            ],\n            [\n              -84.45942059894452,\n              30.349874048713147\n            ],\n            [\n              -86,\n              30.349874048713147\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Davenport, T. M.","contributorId":360128,"corporation":false,"usgs":false,"family":"Davenport","given":"T.","middleInitial":"M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":946826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Comba, D. A.","contributorId":360131,"corporation":false,"usgs":false,"family":"Comba","given":"D.","middleInitial":"A.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":946827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dalyander, P. S.","contributorId":360134,"corporation":false,"usgs":false,"family":"Dalyander","given":"P.","middleInitial":"S.","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":946828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":217766,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":946829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":946830,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steyer, Gregory 0000-0001-7231-0110","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":218813,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":946831,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946832,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70265678,"text":"70265678 - 2024 - Disparities in Perimyotis subflavus body mass between cave and culvert hibernacula in Georgia, USA","interactions":[],"lastModifiedDate":"2025-04-14T14:27:30.505801","indexId":"70265678","displayToPublicDate":"2024-12-06T09:20:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18338,"text":"Ecology and Evololution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Disparities in <i>Perimyotis subflavus</i> body mass between cave and culvert hibernacula in Georgia, USA","title":"Disparities in Perimyotis subflavus body mass between cave and culvert hibernacula in Georgia, USA","docAbstract":"<p><span>The tricolored bat (</span><i>Perimyotis subflavus</i><span>), once common in the eastern United States, has experienced significant mortality due to white-nose syndrome (WNS), a fungal disease that primarily affects bats hibernating in caves and mines. In coastal regions of the southeastern United States, where caves and mines are scarce, tricolored bats often use roadway culverts as hibernacula. However, WNS infection dynamics in culverts are poorly understood. Previous research indicated that bats with higher body mass at the onset of hibernation have a higher probability of surviving repeated arousal events from WNS. Therefore, we compared tricolored bat winter body mass between cave and culvert hibernacula and identified culvert characteristics influencing body mass during hibernation in Georgia, USA. From 2018 to 2022, we measured body mass of 754 individuals in early and late hibernation across 32 culverts (</span><i>n</i><span> = 497) and four caves (</span><i>n</i><span> = 257). Our study revealed a southward spread of the fungus over multiple years, with the first confirmed case of WNS in a Georgia culvert in 2022. Overall, tricolored bats in caves weighed more in early hibernation than those in culverts, but bats in culverts weighed more in late hibernation. Across all sites, female tricolored bats entering and leaving hibernation had greater mass than males but lost more mass during hibernation, possibly due to differences in torpor-arousal patterns and WNS infection rates. Additionally, all bats lost more mass in longer culverts. Understanding culvert characteristics affecting bat body mass will inform management strategies to mitigate WNS effects. Identifying risk factors for specific tricolored bat hibernacula can guide managers on where to focus winter WNS monitoring efforts and potential treatments.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70634","usgsCitation":"Ferrall, E., Perea, S., Morris, K., Pattavina, P., Irwin, B., Hepinstall-Cymerman, J., and Castleberry, S., 2024, Disparities in Perimyotis subflavus body mass between cave and culvert hibernacula in Georgia, USA: Ecology and Evololution, v. 14, no. 12, e70634, 11 p., https://doi.org/10.1002/ece3.70634.","productDescription":"e70634, 11 p.","ipdsId":"IP-165319","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488205,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70634","text":"Publisher Index Page"},{"id":484493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70264093,"text":"70264093 - 2024 - Gray wolf breeders are more vulnerable to harvest during the breeding season","interactions":[],"lastModifiedDate":"2025-03-06T16:04:41.474895","indexId":"70264093","displayToPublicDate":"2024-12-06T09:00:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Gray wolf breeders are more vulnerable to harvest during the breeding season","docAbstract":"<p><span>In cooperatively breeding carnivores, breeders are vital to perpetuating the group; the death or removal of an individual breeder can greatly affect group composition, genetic content, and short-term population growth. Understanding the number of breeders harvested and timing of harvest can increase our knowledge of how mortality affects groups of cooperative breeders. Gray wolves (</span><i>Canis lupus</i><span>) in Idaho, USA, are exposed to annual harvest and are an ideal species for studying the effects of harvest on breeder turnover. We combined genotypes from tissue samples of harvested wolves with parentage analyses and cementum annuli ages and estimated when and how many breeding wolves were harvested. We genotyped and aged 229 adults and 203 pups using tissue and tooth samples from wolves harvested between 2014 and 2016. We identified a minimum count of 33 breeders in the harvest and found that they were disproportionately harvested more during the breeding season. We estimated that a minimum of ~14.5% of adult wolves harvested annually, or approximately 1 in 7, were breeders. We posit their behavior during breeding season may increase their vulnerability to harvest. By linking animal life history with vulnerability to human-caused mortality we show that managers could structure harvest seasons so there is less overlap with wolves’ breeding season if there is concern about the demographic consequences of harvesting breeders.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1553","usgsCitation":"Rebholz, P.F., Waits, L., and Ausband, D.E., 2024, Gray wolf breeders are more vulnerable to harvest during the breeding season: Wildlife Society Bulletin, v. 48, no. 4, e1553, 9 p., https://doi.org/10.1002/wsb.1553.","productDescription":"e1553, 9 p.","ipdsId":"IP-147900","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1553","text":"Publisher Index 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,{"id":70275330,"text":"70275330 - 2024 - U.S. Geological Survey Cooperative Research Units Program: Status report on scientific research on the monarch butterfly (Danaus plexippus)","interactions":[],"lastModifiedDate":"2026-04-29T13:46:08.158396","indexId":"70275330","displayToPublicDate":"2024-12-06T08:44:09","publicationYear":"2024","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":"163-2024","displayTitle":"U.S. Geological Survey Cooperative Research Units Program: Status report on scientific research on the monarch butterfly (<i>Danaus plexippus</i>)","title":"U.S. Geological Survey Cooperative Research Units Program: Status report on scientific research on the monarch butterfly (Danaus plexippus)","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Mock, J.M., and Mawdsley, J.R., 2024, U.S. Geological Survey Cooperative Research Units Program: Status report on scientific research on the monarch butterfly (Danaus plexippus): Cooperator Science Series 163-2024, 23 p.","productDescription":"23 p.","ipdsId":"IP-169436","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":503617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503612,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/us-geological-survey-cooperative-research-units-program-status-report-scientific-research"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mock, J. M.","contributorId":370622,"corporation":false,"usgs":false,"family":"Mock","given":"J.","middleInitial":"M.","affiliations":[{"id":88052,"text":"JMS Natural Resource Strategies","active":true,"usgs":false}],"preferred":false,"id":960588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mawdsley, Jonathan R. 0000-0002-4532-8603 jmawdsley@usgs.gov","orcid":"https://orcid.org/0000-0002-4532-8603","contributorId":302618,"corporation":false,"usgs":true,"family":"Mawdsley","given":"Jonathan","email":"jmawdsley@usgs.gov","middleInitial":"R.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":960589,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70261426,"text":"70261426 - 2024 - Cosmogenic 21Ne exposure ages on late Pleistocene moraines in Lassen Volcanic National Park, California, USA","interactions":[],"lastModifiedDate":"2024-12-11T14:19:35.958069","indexId":"70261426","displayToPublicDate":"2024-12-06T08:35:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19852,"text":"GChron","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cosmogenic <sup>21</sup>Ne exposure ages on late Pleistocene moraines in Lassen Volcanic National Park, California, USA","title":"Cosmogenic 21Ne exposure ages on late Pleistocene moraines in Lassen Volcanic National Park, California, USA","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d2e146\">We report new cosmogenic<span>&nbsp;</span><span class=\"inline-formula\"><sup>21</sup></span>Ne in quartz exposure ages from 18 samples on three distinct moraines deposited in the Lost Creek drainage, approximately 3–7 km down-valley from Lassen Peak in Lassen Volcanic National Park. Although measuring<span>&nbsp;</span><span class=\"inline-formula\"><sup>21</sup></span>Ne in quartz is generally straightforward, accurate<span>&nbsp;</span><span class=\"inline-formula\"><sup>21</sup></span>Ne exposure dating of deposits of late Pleistocene is rarely possible due to the significant quantities of non-cosmogenic<span>&nbsp;</span><span class=\"inline-formula\"><sup>21</sup></span>Ne present in most lithologies. Young quartz-bearing volcanic rocks have been observed to be an exception. We take advantage of moraine boulders sourced from the<span>&nbsp;</span><span class=\"inline-formula\">∼</span> 28 ka dacite of Lassen Peak to generate a chronology of alpine deglaciation in Lassen Volcanic National Park. Ages from three distinct moraines are in stratigraphic order at 22.1 <span class=\"inline-formula\">±</span> 3.8, 20.2 <span class=\"inline-formula\">±</span> 2.4, and 15.3 <span class=\"inline-formula\">±</span> 3.8 ka and generally agree with other terminal and some recessional moraine ages across the Cascade Range and Sierra Nevada of the western United States. To date, these are among the youngest surfaces ever dated using cosmogenic<span>&nbsp;</span><span class=\"inline-formula\"><sup>21</sup></span>Ne and provide a cost-effective proof-of-concept approach to dating moraines where applicable.</p></div></div>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/gchron-6-639-2024","usgsCitation":"Tulenko, J.P., Balco, G., Clynne, M.A., and Muffler, L.P., 2024, Cosmogenic 21Ne exposure ages on late Pleistocene moraines in Lassen Volcanic National Park, California, USA: GChron, v. 6, no. 4, p. 639-652, https://doi.org/10.5194/gchron-6-639-2024.","productDescription":"14 p.","startPage":"639","endPage":"652","ipdsId":"IP-164311","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466724,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/gchron-6-639-2024","text":"Publisher Index Page"},{"id":464940,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lassen Volcanic National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.59704361520542,\n              40.59934177805266\n            ],\n            [\n              -121.59704361520542,\n              40.395748596010236\n            ],\n            [\n              -121.22976845212231,\n              40.395748596010236\n            ],\n            [\n              -121.22976845212231,\n              40.59934177805266\n            ],\n            [\n              -121.59704361520542,\n              40.59934177805266\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Tulenko, Joseph P.","contributorId":347024,"corporation":false,"usgs":false,"family":"Tulenko","given":"Joseph","email":"","middleInitial":"P.","affiliations":[{"id":38176,"text":"Berkeley Geochronology Center","active":true,"usgs":false}],"preferred":false,"id":920556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balco, Greg","contributorId":347027,"corporation":false,"usgs":false,"family":"Balco","given":"Greg","email":"","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":920557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muffler, L.J. Patrick 0000-0001-6638-7218 pmuffler@usgs.gov","orcid":"https://orcid.org/0000-0001-6638-7218","contributorId":3322,"corporation":false,"usgs":true,"family":"Muffler","given":"L.J.","email":"pmuffler@usgs.gov","middleInitial":"Patrick","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920559,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261397,"text":"70261397 - 2024 - High genetic diversity, low population genetic structure, strong natal philopatry, and longevity revealed in the Black Swift (Cypseloides niger borealis)","interactions":[],"lastModifiedDate":"2024-12-09T15:31:31.756159","indexId":"70261397","displayToPublicDate":"2024-12-06T08:31:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7509,"text":"The Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"High genetic diversity, low population genetic structure, strong natal philopatry, and longevity revealed in the Black Swift (Cypseloides niger borealis)","docAbstract":"<p><span>Genetic diversity is a critical cornerstone of biodiversity and is a central goal in management and conservation biology. Such diversity has implications for survivability, adaptability, and resiliency of a species. This study aimed to determine levels of genetic diversity and population genetic structure in the Northern Black Swift (</span><i>Cypseloides niger borealis</i><span>). This species nests across western North America as far north as Canada and south into Mexico, migrating annually to wintering areas in western Brazil. Colonies occur in isolated areas where appropriate nesting habitat is available, and in many cases, colonies are widely separated from each other. Banding data revealed that adults of this long-lived species return to their same breeding colony annually for many years. Additionally, some females exhibit natal philopatry, returning to and successfully raising offspring at the colony where they were hatched. This allowed us to hypothesize that we might expect some amount of genetic structure in the samples we studied. The life history characteristics of this species suggest that breeding colonies might be more genetically differentiated than other migratory birds that tend to have limited population genetic structure across their ranges. We used newly developed species-specific microsatellite primers to examine levels of genetic diversity and connectivity among 6 Black Swift colonies in the western United States. Levels of genetic diversity were generally high (expected heterozygosity ranging from 0.67 to 0.75) and comparable across 3 breeding sites with sufficient sample sizes (</span><i>N</i><span>&nbsp;&gt; 5). Principal coordinates analysis and STRUCTURE analysis showed no real clustering of individuals in regard to colonies, suggesting one panmictic metapopulation rather than multiple populations that are genetically distinct as we had previously hypothesized based on banding data. This is the first study to elucidate the genetic structure among colonies of Black Swift.</span></p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/23-00043","usgsCitation":"Gunn, C., Potter, K., Fike, J., and Oyler-McCance, S.J., 2024, High genetic diversity, low population genetic structure, strong natal philopatry, and longevity revealed in the Black Swift (Cypseloides niger borealis): The Wilson Journal of Ornithology, v. 136, no. 4, p. 448-457, https://doi.org/10.1676/23-00043.","productDescription":"11 p.","startPage":"448","endPage":"457","ipdsId":"IP-154645","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":464920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, New 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0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":920481,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261288,"text":"ofr20211030R - 2024 - System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor","interactions":[{"subject":{"id":70261288,"text":"ofr20211030R - 2024 - System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor","indexId":"ofr20211030R","publicationYear":"2024","noYear":false,"chapter":"R","displayTitle":"System Characterization Report on the Earth Surface Mineral Dust Source Investigation (EMIT) Sensor","title":"System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"lastModifiedDate":"2024-12-06T14:41:35.631479","indexId":"ofr20211030R","displayToPublicDate":"2024-12-05T13:37:35","publicationYear":"2024","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":"2021-1030","chapter":"R","displayTitle":"System Characterization Report on the Earth Surface Mineral Dust Source Investigation (EMIT) Sensor","title":"System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor","docAbstract":"<h1>Executive Summary&nbsp;</h1><p>This report addresses system characterization of the Earth Surface Mineral Dust Source Investigation (EMIT) sensor, an imaging spectrometer developed by the National Aeronautics and Space Administration. This report is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.</p><p>The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior) and radiometric performances. Results of these analyses indicate that the EMIT sensor has a band-to-band geometric performance in the range of −0.355 to 0.210 pixel with a few exceptions of shortwave infrared channels. Geometric offset relative to the Landsat 8 Operational Land Imager ranged from −15.966 meters (−0.266 pixel) to 43.844 meters (0.731 pixel). Offset of a radiometric comparison ranged from −0.016 to 0.025, and slope of a radiometric comparison ranged from 0.837 to 0.985. EMIT agreed with Radiometric Calibration Network measurements within 5 percent across most of the spectral channels.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030R","usgsCitation":"Shrestha, M., Sampath, A., Kim, M., and Park, S., 2024, System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor, chap. R <em>of</em> Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 27 p., https://doi.org/10.3133/ofr20211030R.","productDescription":"vi, 27 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167707","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":464759,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211030R/full"},{"id":464758,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/r/images/"},{"id":464755,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/r/coverthb.jpg"},{"id":464756,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/r/ofr20211030r.pdf","text":"Report","size":"6.35 MB","description":"OFR 2021–1030–R"},{"id":464757,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/r/ofr20211030r.XML"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>System Description</li><li>Procedures</li><li>Measurements</li><li>Analysis</li><li>Comparison to Radiometric Calibration Network (RadCalNet) </li><li>Summary and Conclusions</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-12-05","noUsgsAuthors":false,"plainLanguageSummary":"<p><br data-mce-bogus=\"1\"></p>","publicationDate":"2024-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrestha, Mahesh 0000-0002-8368-6399 mshrestha@contractor.usgs.gov","orcid":"https://orcid.org/0000-0002-8368-6399","contributorId":259303,"corporation":false,"usgs":false,"family":"Shrestha","given":"Mahesh","email":"mshrestha@contractor.usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":920232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sampath, Aparajithan 0000-0002-6922-4913 asampath@usgs.gov","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":3622,"corporation":false,"usgs":true,"family":"Sampath","given":"Aparajithan","email":"asampath@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":920233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Minsu 0000-0003-4472-0926 minsukim@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-4472-0926","contributorId":216429,"corporation":false,"usgs":true,"family":"Kim","given":"Minsu","email":"minsukim@contractor.usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":920234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Park, Seonkyung 0000-0003-3203-1998 seonkyungpark@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-3203-1998","contributorId":222488,"corporation":false,"usgs":false,"family":"Park","given":"Seonkyung","email":"seonkyungpark@contractor.usgs.gov","affiliations":[{"id":40547,"text":"United Support Services, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":920235,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262778,"text":"70262778 - 2024 - Rock sample photogrammetry","interactions":[],"lastModifiedDate":"2026-03-02T15:54:48.581032","indexId":"70262778","displayToPublicDate":"2024-12-05T09:26:13","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19901,"text":"Protocols.io","active":true,"publicationSubtype":{"id":32}},"title":"Rock sample photogrammetry","docAbstract":"<p>This step-by-step protocol describes the photogrammetry process used by the U.S. Geological Survey Spokane Imaging Lab (SPIMG) lab to create 3D models of geologic samples. Steps related to photographing small objects are applicable to photogrammetry in general, however, SPIMG-specific steps involving lab hardware and software may not be.</p>","language":"English","publisher":"Protocols.io","doi":"10.17504/protocols.io.kqdg3xy67g25/v1","usgsCitation":"Evart, L., 2024, Rock sample photogrammetry: Protocols.io, https://doi.org/10.17504/protocols.io.kqdg3xy67g25/v1.","productDescription":"HTML Document","ipdsId":"IP-171668","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":480921,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":489122,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17504/protocols.io.kqdg3xy67g25/v1","text":"Publisher Index Page"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Evart, Lucas Leonidus 0000-0002-3442-0922","orcid":"https://orcid.org/0000-0002-3442-0922","contributorId":302525,"corporation":false,"usgs":true,"family":"Evart","given":"Lucas Leonidus","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":924744,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70263762,"text":"70263762 - 2024 - Tungsten skarn quantitative mineral resource assessment and gold, rare earth elements, graphite, and uranium qualitative assessments of the Kuldjuktau and Auminzatau Ranges, in the central Kyzylkum region, Uzbekistan","interactions":[],"lastModifiedDate":"2025-02-21T15:21:25.429091","indexId":"70263762","displayToPublicDate":"2024-12-05T09:10:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Tungsten skarn quantitative mineral resource assessment and gold, rare earth elements, graphite, and uranium qualitative assessments of the Kuldjuktau and Auminzatau Ranges, in the central Kyzylkum region, Uzbekistan","docAbstract":"<p><span>A new quantitative mineral resource assessment for tungsten skarn was conducted for the Auminzatau and Kuldjuktau mountain ranges in Central Uzbekistan, along with qualitative assessments of orogenic gold, rare earth elements (REEs), amorphous graphite, and uranium. By integrating a variety of geological, geochemical, geophysical, and remote sensing data sets, estimates of undiscovered tungsten skarn deposits in permissive tracts are combined with grade and tonnage distributions of known deposits to generate probabilistic estimates of undiscovered resources. Undiscovered deposits in Auminzatau are estimated to contain median resources of 98 thousand metric tons (kt) of WO</span><sub>3</sub><span>&nbsp;with a 70 percent (%) probability of at least 28 kt and a 10% probability of at least 468 kt, of which 16 kt to 293 kt may be economic to extract. In Kuldjuktau, the undiscovered deposits are estimated to contain median resources of 27 kt of WO</span><sub>3</sub><span>&nbsp;with a 60% probability of at least 12 kt and a 10% probability of at least 208 kt, of which 5 kt to 132 kt may be economic to extract. Our results suggest that the Auminzatau–Kuldjuktau Mountains area is highly prospective for additional discovery of significant Au and U resources and has low prospectivity for discovery of significant REE and graphite resources.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/min14121240","usgsCitation":"Coyan, J.A., Solano, F., Taylor, C.D., Finn, C., Smith, S.M., Holm-Denoma, C., Pianowski, L., Crocker, K., Mirkamalov, R., Divaev, F., Baratov, A., Khakimov, B., Azimov, J., Goipov, A., Avulov, J., Akhmadov, S., Inatov, N., Janiev, X., and Dulabova, N., 2024, Tungsten skarn quantitative mineral resource assessment and gold, rare earth elements, graphite, and uranium qualitative assessments of the Kuldjuktau and Auminzatau Ranges, in the central Kyzylkum region, Uzbekistan: Minerals, no. 12, p. 1240-1277, https://doi.org/10.3390/min14121240.","productDescription":"38 p.","startPage":"1240","endPage":"1277","ipdsId":"IP-163884","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":487666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min14121240","text":"Publisher Index Page"},{"id":482329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Uzbekistan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              63,\n              42\n            ],\n            [\n              63,\n              41.5\n            ],\n            [\n              65,\n              41.5\n            ],\n            [\n              65,\n              42\n            ],\n            [\n              63,\n              42\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"12","edition":"14","noUsgsAuthors":false,"publicationDate":"2024-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Coyan, Joshua Aaron 0000-0002-8450-7364","orcid":"https://orcid.org/0000-0002-8450-7364","contributorId":247291,"corporation":false,"usgs":true,"family":"Coyan","given":"Joshua","email":"","middleInitial":"Aaron","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":928152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solano, Federico 0000-0002-0308-5850","orcid":"https://orcid.org/0000-0002-0308-5850","contributorId":213145,"corporation":false,"usgs":true,"family":"Solano","given":"Federico","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":928153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Cliff D. 0000-0001-6376-6298 ctaylor@usgs.gov","orcid":"https://orcid.org/0000-0001-6376-6298","contributorId":1283,"corporation":false,"usgs":true,"family":"Taylor","given":"Cliff","email":"ctaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":928154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Carol A. 0000-0002-6178-0405","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":229711,"corporation":false,"usgs":true,"family":"Finn","given":"Carol A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":928155,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Steven M. 0000-0003-3591-5377 smsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-3591-5377","contributorId":1460,"corporation":false,"usgs":true,"family":"Smith","given":"Steven","email":"smsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":928156,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":219763,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher S.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":928157,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pianowski, Laura 0000-0002-5346-8251","orcid":"https://orcid.org/0000-0002-5346-8251","contributorId":218817,"corporation":false,"usgs":true,"family":"Pianowski","given":"Laura","email":"","affiliations":[],"preferred":true,"id":928158,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crocker, Kelsey Elizabeth 0000-0002-5919-5274","orcid":"https://orcid.org/0000-0002-5919-5274","contributorId":298791,"corporation":false,"usgs":true,"family":"Crocker","given":"Kelsey Elizabeth","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":928159,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mirkamalov, Rustam","contributorId":351203,"corporation":false,"usgs":false,"family":"Mirkamalov","given":"Rustam","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928160,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Divaev, Fareed","contributorId":351204,"corporation":false,"usgs":false,"family":"Divaev","given":"Fareed","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928161,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Baratov, Abdulla","contributorId":351205,"corporation":false,"usgs":false,"family":"Baratov","given":"Abdulla","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928162,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Khakimov, Botir","contributorId":351206,"corporation":false,"usgs":false,"family":"Khakimov","given":"Botir","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928163,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Azimov, Jurabek","contributorId":351207,"corporation":false,"usgs":false,"family":"Azimov","given":"Jurabek","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928164,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Goipov, Akrom","contributorId":351208,"corporation":false,"usgs":false,"family":"Goipov","given":"Akrom","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928165,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Avulov, Jamshid","contributorId":351209,"corporation":false,"usgs":false,"family":"Avulov","given":"Jamshid","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928166,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Akhmadov, Shokir","contributorId":351210,"corporation":false,"usgs":false,"family":"Akhmadov","given":"Shokir","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928167,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Inatov, Nurbek","contributorId":351213,"corporation":false,"usgs":false,"family":"Inatov","given":"Nurbek","affiliations":[],"preferred":false,"id":928170,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Janiev, Xurshid","contributorId":351212,"corporation":false,"usgs":false,"family":"Janiev","given":"Xurshid","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928169,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Dulabova, Nafisa","contributorId":351211,"corporation":false,"usgs":false,"family":"Dulabova","given":"Nafisa","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928168,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70262438,"text":"70262438 - 2024 - Abundance-mediated species interactions","interactions":[],"lastModifiedDate":"2025-01-22T15:12:17.729427","indexId":"70262438","displayToPublicDate":"2024-12-05T08:07:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Abundance-mediated species interactions","docAbstract":"<p><span>Species interactions shape biodiversity patterns, community assemblage, and the dynamics of wildlife populations. Ecological theory posits that the strength of interspecific interactions is fundamentally underpinned by the population sizes of the involved species. Nonetheless, prevalent approaches for modeling species interactions predominantly center around occupancy states. Here, we use simulations to illuminate the inadequacies of modeling species interactions solely as a function of occupancy, as is common practice in ecology. We demonstrate erroneous inference into species interactions due to error in parameter estimates when considering species occupancy alone. To address this critical issue, we propose, develop, and demonstrate an abundance-mediated interaction framework designed explicitly for modeling species interactions involving two or more species from detection/non-detection data. We present Markov chain Monte Carlo (MCMC) samplers tailored for diverse ecological scenarios, including intraguild predation, disease- or predator-mediated competition, and trophic cascades. Illustrating the practical implications of our approach, we compare inference from modeling the interactions in a three-species network involving coyotes (</span><i>Canis latrans</i><span>), fishers (</span><i>Pekania pennanti</i><span>), and American marten (</span><i>Martes americana</i><span>) in North America as a function of occupancy states and as a function of abundance. When modeling interactions as a function of abundance rather than occupancy, we uncover previously unidentified interactions. Our study emphasizes that accounting for abundance-mediated interactions rather than simple co-occurrence patterns can fundamentally alter our comprehension of system dynamics. Through an empirical case study and comprehensive simulations, we demonstrate the importance of accounting for abundance when modeling species interactions, and we present a statistical framework equipped with MCMC samplers to achieve this paradigm shift in ecological research.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecy.4468","usgsCitation":"Twining, J., Augustine, B., Royle, A., and Fuller, A.K., 2024, Abundance-mediated species interactions: Ecology, v. 106, no. 1, e4468, 20 p., https://doi.org/10.1002/ecy.4468.","productDescription":"e4468, 20 p.","ipdsId":"IP-161645","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4468","text":"Publisher Index Page"},{"id":480918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Twining, Joshua P.","contributorId":349314,"corporation":false,"usgs":false,"family":"Twining","given":"Joshua P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":924216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":924217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924218,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263856,"text":"70263856 - 2024 - Comments on the species limits of certain North American birds, part 1","interactions":[],"lastModifiedDate":"2025-02-26T21:01:37.441655","indexId":"70263856","displayToPublicDate":"2024-12-04T14:56:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1117,"text":"Bulletin of the British Ornithologists' Club","active":true,"publicationSubtype":{"id":10}},"title":"Comments on the species limits of certain North American birds, part 1","docAbstract":"Although species limits of North American birds are relatively well-delineated, discrepancies among global lists identify species complexes that are subject to differences of opinion. As part of our work with the North American Classification Committee (NACC) of the American Ornithological Society, we here assess species limits in 11 such species complexes of North American birds: Spruce Grouse (Canachites canadensis), Band-tailed Pigeon (Patagioenas fasciata), Antillean Mango (Anthracothorax dominicus), Greenish Puffleg (Haplophaedia aureliae), Black Oystercatcher (Haematopus bachmani), Hook-billed Kite (Chondrohierax uncinatus), Sharp-shinned Hawk (Accipiter striatus), Elegant Trogon (Trogon elegans), American Three-toed Woodpecker (Picoides dorsalis), Golden-olive Woodpecker (Colaptes rubiginosus), and Olive-throated Parakeet (Eupsittula nana). We provide updated information on the taxonomic history of these species, and recommend updated taxonomic treatments by using published works, analysis of museum specimens, and citizen/community science databases. We hope this work will provide a foundation for future taxonomic research in these species complexes.","language":"English","publisher":"British Ornithologists' Club","doi":"10.25226/bboc.v144i4.2024.a3","usgsCitation":"Johnson, O.W., Billerman, S., Hernandez-Banos, B., Lane, D.F., Rasmussen, P.C., Remsen, J., Winker, K., and Chesser, R., 2024, Comments on the species limits of certain North American birds, part 1: Bulletin of the British Ornithologists' Club, v. 144, no. 4, p. 367-414, https://doi.org/10.25226/bboc.v144i4.2024.a3.","productDescription":"48 p.","startPage":"367","endPage":"414","ipdsId":"IP-166804","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":489962,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.25226/bboc.v144i4.2024.a3","text":"Publisher Index Page"},{"id":482507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"144","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Oscar W.","contributorId":224103,"corporation":false,"usgs":false,"family":"Johnson","given":"Oscar","email":"","middleInitial":"W.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":928710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Billerman, Shawn","contributorId":344111,"corporation":false,"usgs":false,"family":"Billerman","given":"Shawn","email":"","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":928711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hernandez-Banos, Blanca","contributorId":344114,"corporation":false,"usgs":false,"family":"Hernandez-Banos","given":"Blanca","email":"","affiliations":[{"id":82289,"text":"Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":928712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, Daniel F","contributorId":229672,"corporation":false,"usgs":false,"family":"Lane","given":"Daniel","email":"","middleInitial":"F","affiliations":[{"id":39571,"text":"Louisiana State Univ.","active":true,"usgs":false}],"preferred":false,"id":928713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rasmussen, Pamela C.","contributorId":145569,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Pamela","email":"","middleInitial":"C.","affiliations":[{"id":16153,"text":"Mich St Univ","active":true,"usgs":false}],"preferred":false,"id":928714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Remsen, J.V. Jr.","contributorId":351496,"corporation":false,"usgs":false,"family":"Remsen","given":"J.V.","suffix":"Jr.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":928715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winker, Kevin","contributorId":140814,"corporation":false,"usgs":false,"family":"Winker","given":"Kevin","email":"","affiliations":[{"id":13586,"text":"University of Alaska Museum, University of Alaska Fairbanks, Fairbanks, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":928716,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chesser, R. Terry 0000-0003-4389-7092","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":87669,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":928717,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70261322,"text":"70261322 - 2024 - Getting to the surface of the problem: A dynamic rupture benchmark for shallowly dipping faults near Earth’s surface","interactions":[],"lastModifiedDate":"2026-04-24T15:59:30.608391","indexId":"70261322","displayToPublicDate":"2024-12-04T10:57:07","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":9141,"text":"Final Report","active":true,"publicationSubtype":{"id":2}},"title":"Getting to the surface of the problem: A dynamic rupture benchmark for shallowly dipping faults near Earth’s surface","docAbstract":"The Statewide California Earthquake Center (SCEC) Dynamic Rupture Group workshop “Getting to the Surface of the Problem: A Dynamic Rupture Benchmark for Shallowly-Dipping Faults Near Earth’s Surface” was convened virtually, in an online meeting on November 4, 2024.  52 people participated, including two who sent pre-recorded lightning talks earlier, but were unable to join us that day due to the international time-zone difference.  One-half of our participants were students or postdocs, and the group included scientists from 11 countries (USA, Canada, China, Czech Republic, France, Germany, Iceland, Japan, New Zealand, Saudi Arabia, Switzerland).","language":"English","publisher":"Statewide California Earthquake Center","usgsCitation":"Harris, R.A., and Barall, M., 2024, Getting to the surface of the problem: A dynamic rupture benchmark for shallowly dipping faults near Earth’s surface: Final Report, 12 p.","productDescription":"12 p.","ipdsId":"IP-172766","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":464796,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://central.scec.org/proposal/report/24162"},{"id":503519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":920372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":920373,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70265969,"text":"70265969 - 2024 - Rowing in the same direction using MIX— A tool to initiate the melding of individual disciplinary experts into an integrated interdisciplinary team","interactions":[],"lastModifiedDate":"2025-04-23T14:32:41.533276","indexId":"70265969","displayToPublicDate":"2024-12-04T09:27:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Rowing in the same direction using MIX— A tool to initiate the melding of individual disciplinary experts into an integrated interdisciplinary team","docAbstract":"<p><span>A common problem for interdisciplinary sustainability research is that scientists trained in different disciplines are often not rowing their boat effectively in the same direction. Sustainability tools can aid the implementation of this team-melding process. Here, our purpose is to illustrate our&nbsp;</span><strong><span class=\"underline\">M</span></strong><span>ulti-step&nbsp;</span><strong><span class=\"underline\">I</span></strong><span>ntegrated graphical and structured discussion e</span><strong><span class=\"underline\">X</span></strong><span>ercise (</span><strong>MIX</strong><span>) tool that transforms diverse disciplinary experts into an interdisciplinary team. We use a visual puzzle-solving approach based on the blind men and the elephant metaphor (BMEM) because this story illustrates the shortcomings of siloed viewpoints and the need to integrate multiple perspectives. Our six-step MIX tool provides step-specific objectives, group activities, discussion questions, and learning outcomes. Activities promote experiential learning for team problem solving. The step-specific structured discussions are designed to get each individual to change their focus from their own discipline (i.e., an elephant trunk, tail, leg, or other isolated pieces of the whole animal) to the team’s interdisciplinary goal (i.e., the whole elephant or the entire multi-faceted problem). In our example proof of concept, we show that a narrow focus on only economic yield (trunk), ecological conservation (legs), or human values (tail) misrepresents the biologically involved sustainability problem (elephant) and blocks innovative solutions.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/su162310625","usgsCitation":"Mather, M.E., Bergtold, J., Caldas, M., Bernick, E., Moore, T., Granco, G., Sheshukov, A., and Ciampitti, I., 2024, Rowing in the same direction using MIX— A tool to initiate the melding of individual disciplinary experts into an integrated interdisciplinary team: Sustainability, v. 16, no. 23, 10625, 17 p., https://doi.org/10.3390/su162310625.","productDescription":"10625, 17 p.","ipdsId":"IP-170364","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488502,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su162310625","text":"Publisher Index Page"},{"id":484915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"23","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergtold, Jason","contributorId":353631,"corporation":false,"usgs":false,"family":"Bergtold","given":"Jason","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldas, Marcellus","contributorId":353632,"corporation":false,"usgs":false,"family":"Caldas","given":"Marcellus","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernick, Ethan","contributorId":353633,"corporation":false,"usgs":false,"family":"Bernick","given":"Ethan","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Trisha","contributorId":353634,"corporation":false,"usgs":false,"family":"Moore","given":"Trisha","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Granco, Gabriel","contributorId":353635,"corporation":false,"usgs":false,"family":"Granco","given":"Gabriel","affiliations":[{"id":66019,"text":"Cal Poly Pomona","active":true,"usgs":false}],"preferred":false,"id":934201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sheshukov, Aleksey","contributorId":353636,"corporation":false,"usgs":false,"family":"Sheshukov","given":"Aleksey","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934202,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ciampitti, Ignacio","contributorId":353637,"corporation":false,"usgs":false,"family":"Ciampitti","given":"Ignacio","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934203,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263948,"text":"70263948 - 2024 - The Europa Imaging System (EIS) investigation","interactions":[],"lastModifiedDate":"2025-03-03T15:02:35.251643","indexId":"70263948","displayToPublicDate":"2024-12-04T08:55:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The Europa Imaging System (EIS) investigation","docAbstract":"<p><span>The Europa Imaging System (EIS) consists of a Narrow-Angle Camera (NAC) and a Wide-Angle Camera (WAC) that are designed to work together to address high-priority science objectives regarding Europa’s geology, composition, and the nature of its ice shell. EIS accommodates variable geometry and illumination during rapid, low-altitude flybys with both framing and pushbroom imaging capability using rapid-readout, 8-megapixel (4k × 2k) detectors. Color observations are acquired using pushbroom imaging with up to six broadband filters. The data processing units (DPUs) perform digital time delay integration (TDI) to enhance signal-to-noise ratios and use readout strategies to measure and correct spacecraft jitter. The NAC has a 2.3° × 1.2° field of view (FOV) with a 10-μrad instantaneous FOV (IFOV), thus achieving 0.5-m pixel scale over a swath that is 2&nbsp;km wide and several km long from a range of 50&nbsp;km. The NAC is mounted on a 2-axis gimbal, ±30° cross- and along-track, that enables independent targeting and near-global (≥90%) mapping of Europa at ≤100-m pixel scale (to date, only ∼15% of Europa has been imaged at ≤900 m/pixel), as well as stereo imaging from as close as 50-km altitude to generate digital terrain models (DTMs) with ≤4-m ground sample distance (GSD) and ≤0.5-m vertical precision. The NAC will also perform observations at long range to search for potential erupting plumes, achieving 10-km pixel scale at a distance of one million kilometers. The WAC has a 48° × 24° FOV with a 218-μrad IFOV, achieving 11-m pixel scale at the center of a 44-km-wide swath from a range of 50&nbsp;km, and generating DTMs with 32-m GSD and ≤4-m vertical precision. The WAC is designed to acquire three-line pushbroom stereo and color swaths along flyby ground-tracks.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11214-024-01115-9","usgsCitation":"Turtle, E., McEwen, A., Patterson, G., Ernst, C.M., Elder, C., Slack, K., Hawkins, S., McDermott, J., Meyer, H.M., DeMajistre, R., Espiritu, R., Seifert, H., Niewola, J., Bland, M.T., Becker, M., Centurelli, J., Collins, G., Corlies, P., Darlington, H., Daubar, I.J., Derr, C., Detelich, C., Donald, E., Edens, W., Fletcher, L., Gardner, C., Graham, F., Hansen, C., Haslebacher, C., Hayes, A., Humm, D., Hurford, T., Kirk, R.L., Kutsop, N.W., Lees, W., Lewis, D.T., London, S., Magner, A., Mills, M., Barr Mlinar, A., Morgan, F., Nimmo, F., Ocasio Milanes, A., Osterman, S., Phillips, C., Pommerol, A., Prockter, L., Quick, L., Robbins, G., Soderblom, J., Stewart, B., Stickle, A., Sutton, S., Thomas, N., Torres, I., Tucker, O., Van Auken, R., and Wilk, K., 2024, The Europa Imaging System (EIS) investigation: Space Science Reviews, v. 220, 91, 68 p., https://doi.org/10.1007/s11214-024-01115-9.","productDescription":"91, 68 p.","ipdsId":"IP-165720","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11214-024-01115-9","text":"Publisher Index Page"},{"id":482734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"220","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Turtle, E.P.","contributorId":351657,"corporation":false,"usgs":false,"family":"Turtle","given":"E.P.","affiliations":[{"id":84025,"text":"Johns Hopkins APL","active":true,"usgs":false}],"preferred":false,"id":929251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, A.S.","contributorId":202347,"corporation":false,"usgs":false,"family":"McEwen","given":"A.S.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":929252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, G.W.","contributorId":238743,"corporation":false,"usgs":false,"family":"Patterson","given":"G.W.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":929253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ernst, C. 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Although labile nitrogen (N) and phosphorus (P) fuel primary production, micronutrients also play roles as the enzymatic engines that facilitate rapid and efficient growth and toxin production. Macro- and micronutrient availability can shape community composition and function by selecting for particular taxa. To address how phytoplankton in two Great Lakes subbasins respond to macro- and micronutrients, we conducted bottle incubation enrichment experiments using water collected from two blooming and two nonblooming sites in Lakes Erie and Michigan during late summer (August). Three of the four sites exhibited multi-nutrient limitation of growth. Both blooming sites responded strongest to&nbsp;</span>NH4+<span>&nbsp;enrichment. Both nonblooming sites responded the strongest to&nbsp;</span>PO43−<span>&nbsp;enrichment, and three of the four sites responded in some way to a mix of micronutrients (Fe, Mn, Mo, Ni, and Zn).&nbsp;</span><i>Microcystis aeruginosa</i><span>&nbsp;relative abundance increased most with N enrichment, while P enrichment increased the abundance of diatoms and chlorophytes. At the Fox River, N-enriched communities grew 10%–20% more than non-N enriched communities (measured as chlorophyll&nbsp;</span><i>a</i><span>), and N-enriched communities had, on average, over twice as much microcystin (non-N communities average MC = 2.45 μg · L</span><sup>−1</sup><span>, +N communities MC = 5.35 μg · L</span><sup>−1</sup><span>). These overarching trends support the idea that control of HABs may not be effective with a P-only approach.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jpy.13519","usgsCitation":"Stoll, J.T., Larson, J.H., Bailey, S., Blackwood, C., and Costello, D.M., 2024, Macro- and micronutrient effects on phytoplankton in Green Bay, Lake Michigan and the western basin of Lake Erie: Journal of Phycology, v. 60, no. 6, p. 1514-1527, https://doi.org/10.1111/jpy.13519.","productDescription":"14 p.","startPage":"1514","endPage":"1527","ipdsId":"IP-147490","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":486966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jpy.13519","text":"Publisher Index Page"},{"id":483046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio, Wisconsin","otherGeospatial":"Green Bay, Lake Erie, Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.03685128690228,\n              41.87600695467955\n            ],\n            [\n              -83.20795357925205,\n              42.027867652226206\n            ],\n            [\n              -83.5115221624522,\n              41.678418108973744\n            ],\n            [\n              -83.34593929888818,\n              41.69078411771747\n            ],\n            [\n              -83.03685128690228,\n              41.87600695467955\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.05899801254903,\n              44.55955967593911\n            ],\n            [\n              -87.91549286412715,\n              44.52415450727088\n            ],\n            [\n              -87.04342311602409,\n              45.688867542994075\n            ],\n            [\n              -87.0930979750935,\n              45.719704005362075\n            ],\n            [\n              -87.24764198108645,\n              45.60397956527325\n            ],\n            [\n              -87.5622494218576,\n              45.18539079311623\n            ],\n            [\n              -87.62296313849751,\n              44.9827421736417\n            ],\n            [\n              -87.81062371720358,\n              44.95540765403871\n            ],\n            [\n              -88.05899801254903,\n              44.55955967593911\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Stoll, Jordyn T.","contributorId":345787,"corporation":false,"usgs":false,"family":"Stoll","given":"Jordyn","email":"","middleInitial":"T.","affiliations":[{"id":82711,"text":"Kent State","active":true,"usgs":false}],"preferred":false,"id":929934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":929935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Sean 0000-0003-0361-7914 sbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-0361-7914","contributorId":198515,"corporation":false,"usgs":true,"family":"Bailey","given":"Sean","email":"sbailey@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":929936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Christopher","contributorId":352038,"corporation":false,"usgs":false,"family":"Blackwood","given":"Christopher","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":929937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Costello, David M. 0000-0002-1532-5399","orcid":"https://orcid.org/0000-0002-1532-5399","contributorId":255146,"corporation":false,"usgs":false,"family":"Costello","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":929938,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261455,"text":"70261455 - 2024 - Microfossil biostratigraphy and paleoenvironments of Cretaceous and Pliocene sediments along Greens Mill Run, North Carolina, USA","interactions":[],"lastModifiedDate":"2024-12-11T17:13:11.800838","indexId":"70261455","displayToPublicDate":"2024-12-04T08:25:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Microfossil biostratigraphy and paleoenvironments of Cretaceous and Pliocene sediments along Greens Mill Run, North Carolina, USA","docAbstract":"<p><span>Cretaceous sediments are disconformably overlain by Pliocene sediments along the banks of Greens Mill Run, Greenville, North Carolina, located in the central coastal plain. The Cretaceous sediments, composed of glauconitic sand and clay, have previously been informally considered part of the Maastrichtian Peedee Formation. The Pliocene sediments are assigned to the Yorktown Formation and consist of shelly, muddy sand overlain with a gradational contact by shell-poor, muddy sand. Foraminifera are abundant in the Cretaceous unit and are dominated by the planktic foraminifera Guembelitria cretacea. Low planktic foraminiferal diversity, the absence of single and double-keeled species, the dominance of planktic over benthic foraminifera, and the occurrence of glauconite and phosphorite grains indicates a middle neritic environment. The age of the Cretaceous unit is late Campanian (Zone CC22c), as indicated by the co-occurrence of the calcareous nannofossils Reinhardtites levis and Reinhardtites anthophorus. For this reason, we assign these deposits to the Donoho Creek Formation of the Black Creek Group rather than to the lithologically similar and younger Peedee Formation. Benthic foraminifera dominate the lower part of the Yorktown Formation, are similar to those from the Rushmere Member of the Yorktown Formation in the southern Salisbury Embayment, and indicate deposition in an inner to middle neritic environment. Phosphorite peloids and intraclasts are likely reworked from underlying strata and suggest wave ravinement and deposition during transgression, which is further supported by a fining upward trend. The upper part of the Yorktown Formation exposure, characterized by abundant molds of small bivalves and barren of foraminifera, represents the Morgarts Beach Member. Sedimentological data are consistent with foraminiferal data as far as expected depositional energy. A restricted inner neritic or estuarine environment is indicated.</span></p>","language":"English","publisher":"Micropaleontology Press","doi":"10.47894/stra.21.4.03","usgsCitation":"Dixon, M., Culver, S.J., Mallinson, D.J., Huber, B.T., Self-Trail, J., Spivey, W., and Harris, W., 2024, Microfossil biostratigraphy and paleoenvironments of Cretaceous and Pliocene sediments along Greens Mill Run, North Carolina, USA: Stratigraphy, v. 21, no. 4, p. 323-335, https://doi.org/10.47894/stra.21.4.03.","productDescription":"13 p.","startPage":"323","endPage":"335","ipdsId":"IP-160545","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":465024,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-407/article-2397","linkFileType":{"id":5,"text":"html"}},{"id":465025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","city":"Greenville","otherGeospatial":"Greens Mill Run","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.35352669848585,\n              35.60617951552658\n            ],\n            [\n              -77.35352669848585,\n              35.6031089778176\n            ],\n            [\n              -77.34026585711604,\n              35.6031089778176\n            ],\n            [\n              -77.34026585711604,\n              35.60617951552658\n            ],\n            [\n              -77.35352669848585,\n              35.60617951552658\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dixon, Mikayla","contributorId":347037,"corporation":false,"usgs":false,"family":"Dixon","given":"Mikayla","email":"","affiliations":[{"id":83044,"text":"ECU","active":true,"usgs":false}],"preferred":false,"id":920610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, Stephen J.","contributorId":198984,"corporation":false,"usgs":false,"family":"Culver","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":920611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mallinson, David J.","contributorId":198986,"corporation":false,"usgs":false,"family":"Mallinson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":920612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huber, Brian T.","contributorId":270771,"corporation":false,"usgs":false,"family":"Huber","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":920613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":920614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":920615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, W. Burleigh","contributorId":192889,"corporation":false,"usgs":false,"family":"Harris","given":"W. Burleigh","affiliations":[],"preferred":false,"id":920616,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261537,"text":"70261537 - 2024 - Salt marsh habitats and diamondback terrapins in a rapidly changing climate: A review","interactions":[],"lastModifiedDate":"2024-12-13T15:25:17.597572","indexId":"70261537","displayToPublicDate":"2024-12-04T08:14:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Salt marsh habitats and diamondback terrapins in a rapidly changing climate: A review","docAbstract":"<p>The impacts associated with global climate change (e.g., sea-level rise, tropical storms, and warming temperatures) are expected to alter predator–prey interactions, foundation species, and plant community structure in coastal ecosystems. While the complex dynamics of these habitats have been examined under future climate predictions, few ecosystem models incorporate influences from fauna, such as the diamondback terrapin, the only estuarine turtle native to North America. This review examines the impacts of climate change on diamondback terrapins (<i>Malaclemys terrapin</i>) and the role that terrapins play as higher trophic level predators and keystone species in driving the dynamics of these ecosystems. We also review the potential implications of changes to terrapin populations on coastal ecosystems as a conservation challenge and suggest solutions to advance our understanding of those complex systems. Because of their role as a keystone and area-sensitive species that helps maintain healthy coastal habitats by foraging on herbivorous periwinkle snails, alterations to terrapin life history from climate change are expected, which could have significant impacts to the conservation of coastal habitats. Life history alterations could occur due to individual stressors, such as warming temperatures altering terrapin sex ratios. However, because of the complexity of these coastal systems, these stressors could also act additively or synergistically. Inclusion of faunal taxa such as the diamondback terrapin in modeling efforts examining climate change impacts to coastal ecosystems would better represent the complexity of these habitats thereby providing a more comprehensive evaluation of the entire ecosystem, resulting in more effective conservation strategies.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-024-01466-0","usgsCitation":"Lamont, M.M., Osland, M.J., and Baustian, M., 2024, Salt marsh habitats and diamondback terrapins in a rapidly changing climate: A review: Estuaries and Coasts, v. 48, no. 1, 33, 14 p., https://doi.org/10.1007/s12237-024-01466-0.","productDescription":"33, 14 p.","ipdsId":"IP-167295","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-024-01466-0","text":"Publisher Index Page"},{"id":465112,"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        \"coordinates\": [\n          [\n            [\n              -73.99312483251897,\n              43.35029876340829\n            ],\n            [\n              -103.6065024224903,\n              43.35029876340829\n            ],\n            [\n              -103.6065024224903,\n              25.935704461203755\n            ],\n            [\n              -73.99312483251897,\n              25.935704461203755\n            ],\n            [\n              -73.99312483251897,\n              43.35029876340829\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":920918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":920919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baustian, Melissa M.","contributorId":189569,"corporation":false,"usgs":false,"family":"Baustian","given":"Melissa M.","affiliations":[],"preferred":false,"id":920920,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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