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In recent years, coral populations in the western Atlantic have undergone widespread declines from climate change, anthropogenic stressors, and infectious disease outbreaks. The pillar coral, Dendrogyra cylindrus, has been one of the most affected species, prompting its listing as threatened under the United States Endangered Species Act in 2014 and critically endangered under the IUCN Red List in 2022. However, due to its natural rarity, it is particularly difficult to study using conventional long-term monitoring studies or less common paleontological investigations. Here, we document for the first time, the multi-century persistence of D. cylindrus on high-latitude nearshore reefs off southeast Florida during the late Holocene. Using high-precision uranium–thorium (U-Th) dating, we constrain the ages of well-preserved subfossil D. cylindrus colonies recovered from newly described coral death assemblages. We also describe specific morphological characteristics and taphonomic indicators reflecting their unique depositional environment. Our findings demonstrate long-term persistence of D. cylindrus in southeast Florida, despite geographical isolation and historical rarity in the region.

","language":"English","publisher":"Springer","doi":"10.1007/s00338-023-02387-3","usgsCitation":"Modys, A.B., Toth, L., Mortlock, R.A., Olenik, A.E., and Precht, W.F., 2023, Discovery of a rare pillar coral (Dendrogyra cylindrus) death assemblage off southeast Florida reveals multi-century persistence during the late Holocene: Coral Reefs, v. 42, p. 801-807, https://doi.org/10.1007/s00338-023-02387-3.","productDescription":"7 p.","startPage":"801","endPage":"807","ipdsId":"IP-146906","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":435352,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VTNG2N","text":"USGS data release","linkHelpText":"Uranium-Thorium Ages for Late Holocene Corals from the Southeast Florida Nearshore Ridge Complex"},{"id":418998,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","noUsgsAuthors":false,"publicationDate":"2023-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Modys, Alexander B.","contributorId":260615,"corporation":false,"usgs":false,"family":"Modys","given":"Alexander","email":"","middleInitial":"B.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":878054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":878055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mortlock, Richard A.","contributorId":299718,"corporation":false,"usgs":false,"family":"Mortlock","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":878056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olenik, Anton E.","contributorId":260617,"corporation":false,"usgs":false,"family":"Olenik","given":"Anton","email":"","middleInitial":"E.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":878057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Precht, William F. 0000-0002-6546-985X","orcid":"https://orcid.org/0000-0002-6546-985X","contributorId":260614,"corporation":false,"usgs":false,"family":"Precht","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":52621,"text":"Dial Cordy & Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":878058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70243060,"text":"ofr20231019 - 2023 - Chemical characterization of San Andreas Fault Observatory at Depth (SAFOD) Phase 3 core","interactions":[],"lastModifiedDate":"2026-02-11T20:53:14.236837","indexId":"ofr20231019","displayToPublicDate":"2023-04-27T12:05:32","publicationYear":"2023","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":"2023-1019","displayTitle":"Chemical Characterization of San Andreas Fault Observatory at Depth (SAFOD) Phase 3 Core","title":"Chemical characterization of San Andreas Fault Observatory at Depth (SAFOD) Phase 3 core","docAbstract":"

We present new X-ray fluorescence compositions of 27 core samples from Phase 3, Hole G of the San Andreas Fault Observatory at Depth, nearly doubling the published dataset for the core. The new analyses consist of major and trace element compositions and the first published data for rare earth elements from Hole G. Whole-rock compositions were obtained to further the analysis of active geochemical processes within the creeping section of the San Andreas Fault in central California. In this report, we plot the new data along with previously published analyses to illustrate some of the compositional features of the Hole G core and to relate them to the core mineralogy.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231019","usgsCitation":"Moore, D.E., and Bradbury, K.K., 2023, Chemical characterization of San Andreas Fault Observatory at Depth (SAFOD) Phase 3 core: U.S. Geological Survey Open-File Report 2023–1019, 15 p., https://doi.org/10.3133/ofr20231019.","productDescription":"iv, 15 p.","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-142575","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":416448,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1019/ofr20231019.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":499770,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114706.htm","linkFileType":{"id":5,"text":"html"}},{"id":416447,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1019/covrthb.jpg"}],"contact":"

Earthquake Science Center
U.S. Geological Survey
350 N. Akron Road
Moffett Field, CA 94035

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-04-27","noUsgsAuthors":false,"publicationDate":"2023-04-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":870859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradbury, Kelly K.","contributorId":304539,"corporation":false,"usgs":false,"family":"Bradbury","given":"Kelly","email":"","middleInitial":"K.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":true,"id":870860,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70256463,"text":"70256463 - 2023 - Geographic distribution of the Puerto Rican Harlequin Butterfly (Atlantea tulita): An ensemble modeling approach","interactions":[],"lastModifiedDate":"2024-08-05T21:06:29.496411","indexId":"70256463","displayToPublicDate":"2023-04-18T15:59:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1185,"text":"Caribbean Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Geographic distribution of the Puerto Rican Harlequin Butterfly (Atlantea tulita): An ensemble modeling approach","docAbstract":"

Species distribution models have become increasingly important tools for species conservation. This modeling approach can help guide conservation practitioners and inform decisions. Distribution models are particularly relevant for rare species, whose habitat associations are often not well understood. Using species occurrence data, and a variety of predictor variables, we developed three individual distribution models and a weighted ensemble model for the Puerto Rican harlequin butterfly (Atlantea tulita). The ensemble model had the greatest accuracy (AUC = 0.92). Further, the ensemble model indicated 7.1% of the main island of Puerto Rico encompassed suitable habitat for the harlequin butterfly. However, only 0.5% was classified as including the greatest suitability. Using an ensemble modeling approach to delineate areas of the island with suitable environmental conditions may improve habitat conservation efforts for the species.

","language":"English","publisher":"University of Puerto Rico at Mayaguez","doi":"10.18475/cjos.v53i1.a3","usgsCitation":"Ramirez-Reyes, C., Vilella, F., Evans, K.O., Street, G., Pacheco, C., Monzon, O., and Morales Perez, A.L., 2023, Geographic distribution of the Puerto Rican Harlequin Butterfly (Atlantea tulita): An ensemble modeling approach: Caribbean Journal of Science, v. 53, no. 1, p. 37-44, https://doi.org/10.18475/cjos.v53i1.a3.","productDescription":"8 p.","startPage":"37","endPage":"44","ipdsId":"IP-149541","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Puerto 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O.","contributorId":340725,"corporation":false,"usgs":false,"family":"Evans","given":"Kristine","email":"","middleInitial":"O.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Street, Garrett","contributorId":340727,"corporation":false,"usgs":false,"family":"Street","given":"Garrett","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pacheco, Carlos","contributorId":340728,"corporation":false,"usgs":false,"family":"Pacheco","given":"Carlos","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":907489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monzon, Omar","contributorId":340731,"corporation":false,"usgs":false,"family":"Monzon","given":"Omar","email":"","affiliations":[{"id":81651,"text":"Para la Naturaleza","active":true,"usgs":false}],"preferred":false,"id":907490,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morales Perez, Alcides L.","contributorId":340733,"corporation":false,"usgs":false,"family":"Morales Perez","given":"Alcides","email":"","middleInitial":"L.","affiliations":[{"id":81651,"text":"Para la Naturaleza","active":true,"usgs":false}],"preferred":false,"id":907491,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256532,"text":"70256532 - 2023 - Environment affects sucker catch rate, size structure, species composition, and precision in boat electrofishing samples","interactions":[],"lastModifiedDate":"2024-08-22T14:31:14.565236","indexId":"70256532","displayToPublicDate":"2023-04-18T09:25:54","publicationYear":"2023","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":"Environment affects sucker catch rate, size structure, species composition, and precision in boat electrofishing samples","docAbstract":"

Catostomidae (catostomids) are suckers of the order Cypriniformes, and the majority of species are native to North America; however, species in this group are understudied and rarely managed. The popularity in bowfishing and gigging for suckers in the United States has increased concerns related to overfishing. Little information exists about the relative gear effectiveness for sampling catostomids. We sought to evaluate the relative effectiveness of boat electrofishing for sampling Black Redhorse Moxostoma duquesnei, Golden Redhorse M. erythrurum, Northern Hogsucker Hypentelium nigricans, White Sucker Catostomus commersonii, and Spotted Sucker Minytrema melanops populations in Lake Eucha, Oklahoma. We used an information theoretic approach to determine the abiotic variables related to sucker catch per effort (C/f). Our analysis indicated that sucker C/f was highest during the night and decreased with increasing water temperature. Sucker size structure was significantly different between daytime and nighttime samples; however, effect size estimates for size structure comparisons indicated that size distributions exhibited moderate overlap. Distributional comparisons indicated that daytime and nighttime samples were similar for fish greater than 180 mm in total length. Effect size estimates also indicated little association between the proportion of each species captured and time of day or water temperature. Night electrofishing in reservoirs at water temperatures from 16 to 25°C yielded the most precise C/f estimates, with the highest numbers of suckers collected at water temperatures from 6 to 15°C. Further study of the relationship between abiotic variables and catostomid catchability using various gears will be beneficial to agencies interested in these populations.

","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-22-052","usgsCitation":"Zentner, D.L., Brewer, S.K., and Shoup, D.E., 2023, Environment affects sucker catch rate, size structure, species composition, and precision in boat electrofishing samples: Journal of Fish and Wildlife Management, v. 14, no. 1, p. 135-152, https://doi.org/10.3996/JFWM-22-052.","productDescription":"18 p.","startPage":"135","endPage":"152","ipdsId":"IP-140012","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443813,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-22-052","text":"Publisher Index Page"},{"id":433060,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Lake Eucha","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.93975036194603,\n 36.38140481612922\n ],\n [\n -94.93850942940529,\n 36.36874724463541\n ],\n [\n -94.92320459473427,\n 36.34776259578841\n ],\n [\n -94.84802476496563,\n 36.32752008971409\n ],\n [\n -94.80180002781772,\n 36.34526380928274\n ],\n [\n -94.79642265347414,\n 36.35775675172556\n ],\n [\n -94.84750770974023,\n 36.361753979640646\n ],\n [\n -94.88763119522902,\n 36.37441109676014\n ],\n [\n -94.93975036194603,\n 36.38140481612922\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Zentner, Douglas L.","contributorId":341038,"corporation":false,"usgs":false,"family":"Zentner","given":"Douglas","email":"","middleInitial":"L.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":907841,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shoup, D. E.","contributorId":341039,"corporation":false,"usgs":false,"family":"Shoup","given":"D.","email":"","middleInitial":"E.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907842,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70238112,"text":"70238112 - 2023 - Modeling fluvial sediment plumes: Impacts to coral reefs","interactions":[],"lastModifiedDate":"2023-06-13T13:47:30.856984","indexId":"70238112","displayToPublicDate":"2023-04-15T09:31:43","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling fluvial sediment plumes: Impacts to coral reefs","docAbstract":"

To help guide watershed restoration to reduce the impacts to adjacent coral reefs, the United States Geological Survey and Deltares acquired and analyzed oceanographic and sedimentologic data off 5 West Maui watersheds to calibrate and validate physics-based, numerical hydrodynamic and sediment transport models of the study area. The results indicated sheltered sites are impacted by terrestrial sediment from single stream mouths, with most of the sediment delivered within hours of a flood event. Once this sediment enters the nearshore, it settles out and remains on the reef for a prolonged period. In contrast, the coral reefs along “open” sections of coastline are more exposed to waves and terrestrial sediment from multiple stream sources and the terrestrial sediment can rarely settle but instead remains in suspension, causing turbidity. These analyses underscore the importance of understanding how hydro-dynamics can lead to different sediment dynamics on coral reefs in the same region.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The proceedings of the coastal sediments 2023","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2023","conferenceDate":"April 11-15, 2023","conferenceLocation":"New Orleans, LA","language":"English","publisher":"World Scientific","doi":"10.1142/9789811275135_0151","usgsCitation":"Storlazzi, C.D., van der Heijden, L., Cheriton, O.M., McCall, R.T., and Winter, G., 2023, Modeling fluvial sediment plumes: Impacts to coral reefs, in The proceedings of the coastal sediments 2023, New Orleans, LA, April 11-15, 2023, p. 1633-1644, https://doi.org/10.1142/9789811275135_0151.","productDescription":"12 p.","startPage":"1633","endPage":"1644","ipdsId":"IP-139394","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":416378,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":856904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Heijden, Luuk","contributorId":299030,"corporation":false,"usgs":false,"family":"van der Heijden","given":"Luuk","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":856905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":856906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":856907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winter, Gundula","contributorId":204988,"corporation":false,"usgs":false,"family":"Winter","given":"Gundula","email":"","affiliations":[],"preferred":false,"id":856908,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70242872,"text":"70242872 - 2023 - Secondary forest within a timber plantation concession in Borneo contributes to a diverse mammal assemblage","interactions":[],"lastModifiedDate":"2023-04-21T12:07:33.703351","indexId":"70242872","displayToPublicDate":"2023-04-14T07:05:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Secondary forest within a timber plantation concession in Borneo contributes to a diverse mammal assemblage","docAbstract":"

Commercial tree plantations of fast-growing species have become increasingly important in Southeast Asia to meet global demand for wood and wood fiber products. There is a growing need to understand more about their value for wildlife and how they can be managed for biodiversity. We evaluated the effects of landscape attributes on mammal communities in a timber concession consisting of 83 % secondary forest and 17 % tree plantations in northern Sabah, Malaysia. Using camera traps, we compared mammalian species assemblages of secondary forest and commercial tree plantation stands and identified habitat predictors associated with total mammal species detections and species richness in the landscape mosaic. We used 87 camera stations deployed for 23 days across two major land-use types: 62 sites in secondary forest (previously logged natural forest) and 25 sites in tree plantations. We evaluated variation in species richness in these two major land-use categories and assessed the effects of natural and anthropogenic predictors on variation in total mammal detections and species richness. We detected at least 23 large and medium-sized mammal species over 2035 trap nights. Fourteen of those species were classified as threatened or near-threatened by the International Union for the Conservation of Nature. Rarefaction did not reveal differences in mammal species richness or diversity between camera sites placed in tree plantations and secondary forests, likely because most camera sites in tree plantations were close to secondary forest and comprised < 30 % of all sites. However, generalized linear models indicated lower mammal diversity as proportions of tree plantation and proximity to human settlements increased. Total mammal records, including those of threatened mammals, increased with greater proportions of secondary forest. Retention of larger tracts of secondary forest around plantation areas appears to be important to maintain mammalian species richness and contributes to the conservation value of commercial timber plantations. These findings may assist in the management of mammals of conservation concern and implementation of adaptive management plans to enhance biodiversity conservation in commercial plantations.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2023.e02474","usgsCitation":"William, W.O., van Manen, F.T., Sharp, S.P., and Ratnayeke, S., 2023, Secondary forest within a timber plantation concession in Borneo contributes to a diverse mammal assemblage: Global Ecology and Conservation, v. 43, e02474, 15 p., https://doi.org/10.1016/j.gecco.2023.e02474.","productDescription":"e02474, 15 p.","ipdsId":"IP-148208","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":443856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2023.e02474","text":"Publisher Index Page"},{"id":416117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Borneo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 120.54949981760905,\n 8.408648527731742\n ],\n [\n 107.98654452383744,\n 8.408648527731742\n ],\n [\n 107.98654452383744,\n -4.82108241332746\n ],\n [\n 120.54949981760905,\n -4.82108241332746\n ],\n [\n 120.54949981760905,\n 8.408648527731742\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"William, Wilvia Olivia","contributorId":304283,"corporation":false,"usgs":false,"family":"William","given":"Wilvia","email":"","middleInitial":"Olivia","affiliations":[{"id":66015,"text":"Forest Solutions, Malaysia","active":true,"usgs":false}],"preferred":false,"id":870065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":870066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharp, Stuart P.","contributorId":203981,"corporation":false,"usgs":false,"family":"Sharp","given":"Stuart","email":"","middleInitial":"P.","affiliations":[{"id":36781,"text":"Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK","active":true,"usgs":false}],"preferred":false,"id":870067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ratnayeke, Shyamala","contributorId":203978,"corporation":false,"usgs":false,"family":"Ratnayeke","given":"Shyamala","email":"","affiliations":[{"id":36779,"text":"Department of Biological Sciences, Sunway University, Malaysia","active":true,"usgs":false}],"preferred":false,"id":870068,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70243363,"text":"70243363 - 2023 - Vital rates of a burgeoning population of Humpback Chub in western Grand Canyon","interactions":[],"lastModifiedDate":"2023-07-24T16:46:47.833694","indexId":"70243363","displayToPublicDate":"2023-04-14T06:41:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Vital rates of a burgeoning population of Humpback Chub in western Grand Canyon","docAbstract":"

The Colorado River ecosystem has experienced habitat alterations and non-native species invasions, and as a result, many of its native species have experienced extirpations, abundance declines, and range constrictions. Despite these pitfalls, Humpback Chub, Gila cypha, have persisted and, in the last 10-15 years, expanded their range to become abundant in western Grand Canyon, a river segment in which it had been rare for the prior three decades. Here we analyze a 6-year mark-recapture study from a fixed monitoring reach in western Grand Canyon and provide the first estimates of survival and growth (vital rates) for this relatively ‘new’ group of Humpback Chub. We compare vital rates in western Grand Canyon to two life history forms (residents and migrants, which represent fast and slow life history trajectories, respectively) from the more established Little Colorado River (LCR) aggregation in eastern Grand Canyon. Compared to LCR-migrants and LCR-residents, Humpback Chub in western Grand Canyon had intermediate values for apparent survival, growth, and asymptotic length. Relatively high survival of subadults coupled with fast growth allows for rapid population growth in western Grand Canyon. However, a large cohort in 2017 failed to lead to noticeable increases in adults. Seasonal survival patterns were distinct in all three groups, and apparent survival was lowest in western Grand Canyon during spring months. Adult Humpback Chub in western Grand Canyon were mobile and had a high probability of transience (i.e., just passing through the reach) and temporary emigration, demonstrating the need for future movement studies in western Grand Canyon to better distinguish emigration from survival. We discuss how observations are related to disparate temperature regimes experienced by the three groups, and if(how) the relationship between metabolism and temperature influences vital rates within the river network.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10415","usgsCitation":"Dzul, M.C., Yackulic, C., Giardina, M.A., Van Haverbeke, D., and Yard, M., 2023, Vital rates of a burgeoning population of Humpback Chub in western Grand Canyon: Transactions of the American Fisheries Society, v. 152, no. 4, p. 443-459, https://doi.org/10.1002/tafs.10415.","productDescription":"17 p.","startPage":"443","endPage":"459","ipdsId":"IP-148437","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498968,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10415","text":"Publisher Index Page"},{"id":435374,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E96ADU","text":"USGS data release","linkHelpText":"Humpback chub (Gila cypha) capture histories and growth data for two areas in the Colorado River network from 2009-2022 and 2017-2022"},{"id":416898,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.601457318797,\n 36.65987844880918\n ],\n [\n -113.91812426407165,\n 36.65987844880918\n ],\n [\n -113.91812426407165,\n 35.63520969136876\n ],\n [\n -111.601457318797,\n 35.63520969136876\n ],\n [\n -111.601457318797,\n 36.65987844880918\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"152","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":872166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":872167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giardina, Mariah Aurelia 0000-0001-6753-0450","orcid":"https://orcid.org/0000-0001-6753-0450","contributorId":300798,"corporation":false,"usgs":true,"family":"Giardina","given":"Mariah","email":"","middleInitial":"Aurelia","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":872168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Haverbeke, David R.","contributorId":83838,"corporation":false,"usgs":false,"family":"Van Haverbeke","given":"David R.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":872169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yard, Michael D. 0000-0002-6580-6027","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":291738,"corporation":false,"usgs":false,"family":"Yard","given":"Michael D.","affiliations":[{"id":62744,"text":"Retired, US Geological Survey, Southwest Biological Science Center, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":872170,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70242030,"text":"sir20235026 - 2023 - Strontium isotope chronostratigraphic age of a sirenian fossil site on Santa Rosa Island, Channel Islands National Park, California","interactions":[],"lastModifiedDate":"2026-03-06T20:49:41.383683","indexId":"sir20235026","displayToPublicDate":"2023-04-12T14:09:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5026","displayTitle":"Strontium Isotope Chronostratigraphic Age of a Sirenian Fossil Site on Santa Rosa Island, Channel Islands National Park, California","title":"Strontium isotope chronostratigraphic age of a sirenian fossil site on Santa Rosa Island, Channel Islands National Park, California","docAbstract":"

Fossils in the order Sirenia (family Dugongidae) from Santa Rosa Island, part of Channel Islands National Park in southern California, provide rare temporal and spatial links between earlier and later evolutionary forms of dugongids, and add information about their dispersal into the northeastern Pacific region. Marine sedimentary rocks containing these fossils have characteristics of both the late Oligocene to middle Miocene Vaqueros Sandstone and the early to middle Miocene Rincon formation observed elsewhere. To determine a more precise age of the fossils, marine invertebrate shells were collected from the same exposures as the sirenian fossils for chronostratigraphic assessment using strontium isotope compositions and the well-calibrated seawater strontium evolution curve. Shells used for analysis were from bivalve mollusks (Pycnodonte sp. [oyster] and Lyropecten sp. [scallop]) and crustaceans (Balanus sp. [barnacle]). Results show a wide range of 87Sr/86Sr values, indicating that shell materials experienced varying degrees of diagenetic alteration. Strontium concentrations and 87Sr/86Sr values in subsamples of Pycnodonte shell show correlations between original shell material and a secondary component having lower strontium concentrations and less radiogenic (lower) 87Sr/86Sr. In contrast, all Lyropecten shell analyses yielded a uniform 87Sr/86Sr value (0.708440±0.000010 [2× standard deviation]) over a wide range of strontium concentrations (around 900 to 1,800 micrograms per gram [μg/g]). Results for Balanus shell subsamples show a range of strontium compositional behavior between the other two types of shell. Acetic acid leachates of sandy matrix confirm that diagenetic fluids had low 87Sr/86Sr values consistent with the least radiogenic values in Pycnodonte subsamples. A simple mixing model between two calcite end-members can explain observed Pycnodonte data, although actual diagenetic processes likely involved secondary dissolution/reprecipitation or strontium ion exchange between shell material and pore fluid. Data indicate that only Lyropecten subsamples have retained their original 87Sr/86Sr compositions, resulting in a best-estimate age of 20.08±0.11 million years ago (Ma) (±95-percent confidence interval [CI]). Although Dugongidae fossils have been found in Miocene and younger sediments along the west coast of North America, the Santa Rosa Island specimens represent some of the earliest and most accurately dated sirenian fossils in the region. Chronostratigraphic results also constrain the timing of the transgressional processes represented by shallow-water (Vaqueros Sandstone) to deep-water (Rincon formation) depositional environments.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235026","collaboration":"Prepared in cooperation with the U.S. National Park Service","usgsCitation":"Paces, J.B., Minor, S.A., Schmidt, K.M., and Hoffman, J., 2023, Strontium isotope chronostratigraphic age of a sirenian fossil site on Santa Rosa Island, Channel Islands National Park, California: U.S. Geological Survey Scientific Investigations Report 2023–5026, 27 p., https://doi.org/10.3133/sir20235026.","productDescription":"Report: vii, 27 p.; Data Release","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-135728","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":415211,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GG6NB5","text":"USGS data release","linkHelpText":"Sr concentrations and 87Sr/86Sr data used to determine the Sr-chronostratigraphic age of sirenian fossils on Santa Rosa Island, Channel Islands National Park: California, USA"},{"id":415210,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5026/images/"},{"id":415208,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235026/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5026"},{"id":415206,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5026/coverthb.jpg"},{"id":415207,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5026/sir20235026.pdf","text":"Report","size":"42.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5026"},{"id":415209,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5026/sir20235026.XML"},{"id":500882,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114663.htm"}],"country":"United States","state":"California","otherGeospatial":"Santa Rosa Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.27493358761777,\n 34.050843485499456\n ],\n [\n -120.27493358761777,\n 33.868674166486116\n ],\n [\n -119.93999465714583,\n 33.868674166486116\n ],\n [\n -119.93999465714583,\n 34.050843485499456\n ],\n [\n -120.27493358761777,\n 34.050843485499456\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

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","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-04-12","noUsgsAuthors":false,"publicationDate":"2023-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Paces, James B. 0000-0002-9809-8493","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":118216,"corporation":false,"usgs":true,"family":"Paces","given":"James B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":868609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minor, Scott A. 0000-0002-6976-9235 sminor@usgs.gov","orcid":"https://orcid.org/0000-0002-6976-9235","contributorId":765,"corporation":false,"usgs":true,"family":"Minor","given":"Scott","email":"sminor@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":868610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Kevin M. 0000-0003-2365-8035 kschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-2365-8035","contributorId":1985,"corporation":false,"usgs":true,"family":"Schmidt","given":"Kevin","email":"kschmidt@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":868611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoffman, Jonathan","contributorId":303915,"corporation":false,"usgs":false,"family":"Hoffman","given":"Jonathan","affiliations":[{"id":34644,"text":"Santa Barbara Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":868612,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70242901,"text":"70242901 - 2023 - Coupling large-spatial scale larval dispersal modelling with barcoding to refine the amphi-Atlantic connectivity hypothesis in deep-sea seep mussels","interactions":[],"lastModifiedDate":"2023-04-21T11:43:51.591272","indexId":"70242901","displayToPublicDate":"2023-04-12T06:41:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Coupling large-spatial scale larval dispersal modelling with barcoding to refine the amphi-Atlantic connectivity hypothesis in deep-sea seep mussels","docAbstract":"

In highly fragmented and relatively stable cold-seep ecosystems, species are expected to exhibit high migration rates and long-distance dispersal of long-lived pelagic larvae to maintain genetic integrity over their range. Accordingly, several species inhabiting cold seeps are widely distributed across the whole Atlantic Ocean, with low genetic divergence between metapopulations on both sides of the Atlantic Equatorial Belt (AEB, i.e. Barbados and African/European margins). Two hypotheses may explain such patterns: (i) the occurrence of present-day gene flow or (ii) incomplete lineage sorting due to large population sizes and low mutation rates. Here, we evaluated the first hypothesis using the cold seep mussels Gigantidas childressi, G. mauritanicus, Bathymodiolus heckerae and B. boomerang. We combined COI barcoding of 763 individuals with VIKING20X larval dispersal modelling at a large spatial scale not previously investigated. Population genetics supported the parallel evolution of Gigantidas and Bathymodiolus genera in the Atlantic Ocean and the occurrence of a 1-3 Million-year-old vicariance effect that isolated populations across the Caribbean Sea. Both population genetics and larval dispersal modelling suggested that contemporary gene flow and larval exchanges are possible across the AEB and the Caribbean Sea, although probably rare. When occurring, larval flow was eastward (AEB - only for B. boomerang) or northward (Caribbean Sea - only for G. mauritanicus). Caution is nevertheless required since we focused on only one mitochondrial gene, which may underestimate gene flow if a genetic barrier exists. Non-negligible genetic differentiation occurred between Barbados and African populations, so we could not discount the incomplete lineage sorting hypothesis. Larval dispersal modelling simulations supported the genetic findings along the American coast with high amounts of larval flow between the Gulf of Mexico (GoM) and the US Atlantic Margin, although the Blake Ridge population of B. heckerae appeared genetically differentiated. Overall, our results suggest that additional studies using nuclear genetic markers and population genomics approaches are needed to clarify the evolutionary history of the Atlantic bathymodioline mussels and to distinguish between ongoing and past processes.

","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2023.1122124","usgsCitation":"Portanier, E., Nicolle, A., Rath, W., Monnet, L., Le Goff, G., Le Port, A., Daguin-Thiebaut, C., Morrison, C., Cunha, M., Betters, M., Young, C.M., Van Dover, C., Biastoch, A., Thiebaut, E., and Jollivet, D., 2023, Coupling large-spatial scale larval dispersal modelling with barcoding to refine the amphi-Atlantic connectivity hypothesis in deep-sea seep mussels: Frontiers in Marine Science, v. 10, 1122124, 29 p., https://doi.org/10.3389/fmars.2023.1122124.","productDescription":"1122124, 29 p.","ipdsId":"IP-147936","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2023.1122124","text":"Publisher Index Page"},{"id":416110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2023-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Portanier, Elodie","contributorId":304320,"corporation":false,"usgs":false,"family":"Portanier","given":"Elodie","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicolle, A.","contributorId":304321,"corporation":false,"usgs":false,"family":"Nicolle","given":"A.","email":"","affiliations":[{"id":66025,"text":"École nationale supérieure de techniques avancées (ENSTA) Bretagne, Pôle STIC/HOP, Brest, France","active":true,"usgs":false}],"preferred":false,"id":870140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rath, W.","contributorId":304322,"corporation":false,"usgs":false,"family":"Rath","given":"W.","email":"","affiliations":[{"id":62473,"text":"GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":870141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monnet, L.","contributorId":304323,"corporation":false,"usgs":false,"family":"Monnet","given":"L.","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le Goff, G.","contributorId":304324,"corporation":false,"usgs":false,"family":"Le Goff","given":"G.","email":"","affiliations":[{"id":66025,"text":"École nationale supérieure de techniques avancées (ENSTA) Bretagne, Pôle STIC/HOP, Brest, France","active":true,"usgs":false}],"preferred":false,"id":870143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Le Port, A.-S.","contributorId":304325,"corporation":false,"usgs":false,"family":"Le Port","given":"A.-S.","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daguin-Thiebaut, C.","contributorId":304326,"corporation":false,"usgs":false,"family":"Daguin-Thiebaut","given":"C.","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870145,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morrison, Cheryl L. 0000-0001-9425-691X","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":239844,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":870146,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cunha, M.R.","contributorId":304327,"corporation":false,"usgs":false,"family":"Cunha","given":"M.R.","email":"","affiliations":[{"id":66026,"text":"Department of Biology, University of Aveiro, 3810-193, Aveiro, Portugal","active":true,"usgs":false}],"preferred":false,"id":870147,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Betters, M.","contributorId":304328,"corporation":false,"usgs":false,"family":"Betters","given":"M.","affiliations":[{"id":66027,"text":"Department of Biology, Temple University, Philadelphia, Pennsylvania, USA","active":true,"usgs":false}],"preferred":false,"id":870148,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Young, Craig M.","contributorId":304329,"corporation":false,"usgs":false,"family":"Young","given":"Craig","email":"","middleInitial":"M.","affiliations":[{"id":66028,"text":"Oregon Institute of Marine Biology, University of Oregon, Eugene, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":870149,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Van Dover, Cindy L.","contributorId":304330,"corporation":false,"usgs":false,"family":"Van Dover","given":"Cindy L.","affiliations":[{"id":66029,"text":"Division of Marine Science and Conservation, Nicholas School of the Environment, Duke University, Beaufort, NC, USA","active":true,"usgs":false}],"preferred":false,"id":870150,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Biastoch, A.","contributorId":304332,"corporation":false,"usgs":false,"family":"Biastoch","given":"A.","email":"","affiliations":[{"id":62473,"text":"GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":870151,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Thiebaut, E.","contributorId":304333,"corporation":false,"usgs":false,"family":"Thiebaut","given":"E.","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870152,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jollivet, Didier","contributorId":304334,"corporation":false,"usgs":false,"family":"Jollivet","given":"Didier","email":"","affiliations":[{"id":66024,"text":"Sorbonne Université, CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, Place Georges Teissier, F-29680 Roscoff, France","active":true,"usgs":false}],"preferred":false,"id":870153,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70243529,"text":"70243529 - 2023 - Inferring pathogen presence when sample misclassification and partial observation occur","interactions":[],"lastModifiedDate":"2023-05-11T11:57:40.081025","indexId":"70243529","displayToPublicDate":"2023-04-11T06:55:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Inferring pathogen presence when sample misclassification and partial observation occur","docAbstract":"
  1. Surveillance programmes are essential for detecting emerging pathogens and often rely on molecular methods to make inference about the presence of a target disease agent. However, molecular methods rarely detect target DNA perfectly. For example, molecular pathogen detection methods can result in misclassification (i.e. false positives and false negatives) or partial detection errors (i.e. detections with ‘ambiguous’, ‘uncertain’ or ‘equivocal’ results). Then, when data are to be analysed, these partial observations are either discarded or censored; this, however, disregards information that could be used to make inference about the true state of the system. There is a critical need for more direction and guidance related to how many samples are enough to declare a unit of interest ‘pathogen free’.
  2. Here, we develop a Bayesian hierarchal framework that accommodates false negative, false positive and uncertain detections to improve inference related to the occupancy of a pathogen. We apply our modelling framework to a case study of the fungal pathogen Pseudogymnoascus destructans (Pd) identified in Texas bats at the invasion front of white-nose syndrome. To improve future surveillance programmes, we provide guidance on sample sizes required to be 95% certain a target organism is absent from a site.
  3. We found that the presence of uncertain detections increased the variability of resulting posterior probability distributions of pathogen occurrence, and that our estimates of required sample size were very sensitive to prior information about pathogen occupancy, pathogen prevalence and diagnostic test specificity. In the Pd case study, we found that the posterior probability of occupancy was very low in 2018, but occupancy probability approached 1 in 2020, reflecting increasing prior probabilities of occupancy and prevalence elicited from the site manager.
  4. Our modelling framework provides the user a posterior probability distribution of pathogen occurrence, which allows for subjective interpretation by the decision-maker. To help readers apply and use the methods we developed, we provide an interactive RShiny app that generates target species occupancy estimation and sample size estimates to make these methods more accessible to the scientific community (https://rmummah.shinyapps.io/ambigDetect_sampleSize). This modelling framework and sample size guide may be useful for improving inferences from molecular surveillance data about emerging pathogens, non-native invasive species and endangered species where misclassifications and ambiguous detections occur.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14102","usgsCitation":"Campbell Grant, E.H., Mummah, R.O., Mosher, B.A., Evans, J., and DiRenzo, G.V., 2023, Inferring pathogen presence when sample misclassification and partial observation occur: Methods in Ecology and Evolution, v. 14, no. 5, p. 1299-1311, https://doi.org/10.1111/2041-210X.14102.","productDescription":"13 p.","startPage":"1299","endPage":"1311","ipdsId":"IP-148152","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443886,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14102","text":"Publisher Index Page"},{"id":435379,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PDV4LV","text":"USGS data release","linkHelpText":"Inferring pathogen presence when sample misclassification and partial observation occur"},{"id":416954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":872230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mummah, Riley O.","contributorId":305294,"corporation":false,"usgs":false,"family":"Mummah","given":"Riley","email":"","middleInitial":"O.","affiliations":[{"id":66204,"text":"Massachusetts Cooperative Fish and Wildlife Research Unit, University of Massachusetts, Department of Environmental Conservation, 160 Holdsworth Way, Amherst, Massachusetts 01003","active":true,"usgs":false}],"preferred":false,"id":872231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosher, Brittany A.","contributorId":189579,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":872232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Jonah","contributorId":239062,"corporation":false,"usgs":false,"family":"Evans","given":"Jonah","email":"","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":872233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":872234,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70244269,"text":"70244269 - 2023 - Lake Ontario August gillnet survey and Lake Trout assessment, 2022","interactions":[],"lastModifiedDate":"2023-06-12T11:42:54.867391","indexId":"70244269","displayToPublicDate":"2023-04-06T06:40:05","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Lake Ontario August gillnet survey and Lake Trout assessment, 2022","docAbstract":"Lake Ontario Lake Trout (Salvelinus namaycush) rehabilitation has been annually assessed with fishery independent surveys since 1983, in an effort to evaluate program benchmarks and compare observations with management objectives. These surveys provide information on the abundance, strain composition, and condition of the adult Lake Trout stock, as well as information on levels of natural recruitment, Sea Lamprey (Petromyzon marinus) wounding rates, and abundance indices of other coldwater fish species (Burbot Lota lota, Cisco Coregonus artedi, and Lake Whitefish C. clupeaformis). In 2022, the catch per unit effort (CPUE) of total Lake Trout in gillnets remained high (18.9 fish/lift; highest since 1998) compared to lows observed during 2005–2009 (average = 7.5 fish/lift). The CPUE of immature Lake Trout in the 2022 survey was the highest since 1994. Wild-produced mature Lake Trout remain rare in the adult population (2.4% of adult catch). Strain composition of stocked fish indicated more than half (56%) of all coded-wire tagged Lake Trout captured in 2022 were from the Superior Klondike strain. Sea Lamprey wounding rates were above target levels in 2022 (3.15 A1 wounds per 100 Lake Trout) and were nearly double the 2021 rate. Lake Trout condition (predicted weight at length) was the highest since data collection began in 1983. Overall, the 2022 survey results indicate that adult Lake Trout are abundant and of high condition but composed mostly of hatchery-origin strains, suggesting recruitment of wild-produced offspring to the adult stock continues to be limited.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"O’Malley, B., Lantry, B.F., Minihkeim, S.P., Mckenna, J.D., Goretzke, J., Gatch, A.J., and Gorsky, D., 2023, Lake Ontario August gillnet survey and Lake Trout assessment, 2022, 12 p.","productDescription":"12 p.","ipdsId":"IP-151036","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":417998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417990,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/pubs/lake_committees/common_docs/Ontario_2022_LakeTroutReport.pdf"}],"country":"United States","otherGeospatial":"Lake 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Science Center","active":true,"usgs":true}],"preferred":true,"id":875103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":875104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minihkeim, Scott P. 0000-0003-4958-2462","orcid":"https://orcid.org/0000-0003-4958-2462","contributorId":265808,"corporation":false,"usgs":true,"family":"Minihkeim","given":"Scott","email":"","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":875105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mckenna, James Duncan 0009-0004-3868-6009 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2022","docAbstract":"

Fall bottom trawl (fall BT) and lakewide acoustic (AC) surveys are conducted annually to generate indices of pelagic and benthic prey fish densities in Lake Michigan. The fall BT survey has been conducted each fall since 1973 using 12-m trawls at depths ranging from 9 to 110 m at fixed locations distributed across seven transects; this survey estimates densities of seven prey fish species [i.e., Alewife (Alosa pseudoharengus), Bloater (Coregonus hoyi), Rainbow Smelt (Osmerus mordax), Deepwater Sculpin (Myoxocephalus thompsonii), Slimy Sculpin (Cottus cognatus), Round Goby (Neogobius melanostomus), Ninespine Stickleback (Pungitius pungitius)] as well as age-0 Yellow Perch (Perca flavescens) and large (> 350 mm) Burbot (Lota lota). The AC survey has been conducted each late summer/early fall since 2004, and the 2022 survey consisted of 26 transects [570 km total (354 miles)] covering bottom depths ranging from 5 to 255 m and 37 midwater trawl tows above bottom depths ranging 5 to 232 m; this survey estimates densities of three prey fish species (i.e., Alewife, Bloater, and Rainbow Smelt). The data generated from these surveys are used to estimate various population parameters that are, in turn, used by state and tribal agencies in managing Lake Michigan fish stocks. In spring of 2022, an additional spring bottom trawl survey (spring BT) was implemented across six of the transects sampled in the fall and sites ranged in depth from 9 to 236 m. The goal of the spring BT was to explore seasonal differences in biomass density and distributions of key prey species, mostly notably Alewife.

Total prey fish biomass density from the spring BT was 2.1 kg/ha. For the AC survey, total biomass density of prey fish equaled 6.2 kg/ha, 37% higher than the long-term average (2004-2021) of 4.5 kg/ha and 0.43 kg/ha higher than the 2021 estimate. For the fall BT, total biomass density of prey fish equaled 8.7 kg/ha, the highest value since 2013 and 21% higher than average value from 20042021 (6.8 kg/ha). The 2022 fall BT biomass density was still well below the average over the entirety of the time series (1973-2021; 34.3 kg/ha). Over the period both surveys have been conducted (2004-2021), total biomass density has trended downward in the fall BT (despite a high 2022 estimate) and remained relatively stable in the AC survey.

Bloater was the dominant species (by biomass) among prey fishes in both the spring and fall BT, while the AC survey reported co-dominance of Bloater and Alewife. Mean biomass of yearling and older (YAO) Alewife was 0.38 kg/ha in the spring BT, 3.0 kg/ha in the AC survey, and 0.10 in the fall BT. Alewife were aggregated in deepwater habitats in the spring of 2022 (> 110 m). Since 2014, catchability of YAO Alewives for the fall BT has been substantially lower than the AC survey. Results of the 2022 spring BT do not suggest that catchability is substantially higher in the spring than the fall.

Comparing the acoustic estimate to previous years, YAO Alewife biomass was 40% higher than the average from 2004-2021. An age-7 fish was recorded for the first time since 2009. Despite the rare catches of older fish, the Alewife age distribution still appears truncated, with age-1 fish as the most represented age class in all three surveys. Numeric density of age-0 Alewife from the AC survey was 7 fish/ha in 2022, which is the third lowest in the time series and well below the longterm mean of 452 fish/ha. Biomass density of large (≥120 mm) Bloater was 2.7 kg/ha in the AC survey and 4.4 kg/ha in the fall BT - each at least an order of magnitude lower than what was estimated by the fall BT between 1981 and 1998. Following a record high year in 2021 (1,037 fish/ha), the numeric density of small (<120 mm) Bloater was only 15 fish/ha in the AC survey.

Meanwhile, small Bloater density estimated in the fall BT was 261 fish/ha, the highest value since 1990 and likely partially reflective of a large 2021 year-class. Biomass density of large Rainbow Smelt (≥90 mm) was 0.29 kg/ha in the AC survey and 0.12 kg/ha in the fall BT survey, continuing the trend of low Rainbow Smelt biomass that has been observed since 2001. Numeric density of small (<90 mm) Rainbow Smelt was 21 fish/ha in the AC survey and 2.7 fish/ha in the fall BT, indicating a weak year-class. All four prey fish species sampled only by the fall BT indicated below average biomass densities. Deepwater Sculpin biomass density was estimated at 0.41 kg/ha, which makes 12 of the past 13 years when biomass was <1 kg/ha. Slimy Sculpin was estimated at 0.10 kg/ha, the highest estimate since 2016 but still only 25% of the long-term average. Round Goby was estimated at 1.3 kg/ha, above the average biomass of 0.82 kg/ha since 2008 but similar to intermittent high values observed throughout the dataset. Ninespine Stickleback density was 1.5 fish/ha. Burbot biomass remained near record low levels, and no age-0 Yellow Perch were caught, indicating a weak Yellow Perch year-class in 2022.

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III 0000-0002-1689-2133","orcid":"https://orcid.org/0000-0002-1689-2133","contributorId":189812,"corporation":false,"usgs":true,"family":"Tingley","given":"Ralph","suffix":"III","email":"","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":877044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, David 0000-0003-4939-5368","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":217346,"corporation":false,"usgs":true,"family":"Warner","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":877045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":877046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dieter, Patricia M. 0000-0003-1686-2679","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":217345,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":877047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ben Turschak","contributorId":316214,"corporation":false,"usgs":false,"family":"Ben Turschak","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":877048,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dale Hanson","contributorId":316215,"corporation":false,"usgs":false,"family":"Dale Hanson","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":877049,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Kristy 0000-0001-8378-0660","orcid":"https://orcid.org/0000-0001-8378-0660","contributorId":204292,"corporation":false,"usgs":true,"family":"Phillips","given":"Kristy","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":920236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Geister, Caleb","contributorId":346931,"corporation":false,"usgs":false,"family":"Geister","given":"Caleb","email":"","affiliations":[],"preferred":false,"id":920237,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70255002,"text":"70255002 - 2023 - Using decision analysis to determine the feasibility of a conservation translocation","interactions":[],"lastModifiedDate":"2024-06-11T15:23:15.270351","indexId":"70255002","displayToPublicDate":"2023-03-31T10:19:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14243,"text":"Decision Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Using decision analysis to determine the feasibility of a conservation translocation","docAbstract":"

Conservation translocations, intentional movements of species to protect against extinction, have become widespread in recent decades and are projected to increase further as biodiversity loss continues worldwide. The literature abounds with analyses to inform translocations and assess whether they are successful, but the fundamental question of whether they should be initiated at all is rarely addressed formally. We used decision analysis to assess northern leopard frog reintroduction in northern Idaho, with success defined as a population that persists for at least 50 years. The Idaho Department of Fish and Game was the decision maker (i.e., the agency that will use this assessment to inform their decisions). Stakeholders from government, indigenous groups, academia, land management agencies, and conservation organizations also participated. We built an age-structured population model to predict how management alternatives would affect probability of success. In the model, we explicitly represented epistemic uncertainty around a success criterion (probability of persistence) characterized by aleatory uncertainty. For the leading alternative, the mean probability of persistence was 40%. The distribution of the modelling results was bimodal, with most parameter combinations resulting in either very low (<5%) or relatively high (>95%) probabilities of success. Along with other considerations, including cost, the Idaho Department of Fish and Game will use this assessment to inform a decision regarding reintroduction of northern leopard frogs. Conservation translocations may benefit greatly from more widespread use of decision analysis to counter the complexity and uncertainty inherent in these decisions.

","language":"English","publisher":"Informs","doi":"10.1287/deca.2023.0472","usgsCitation":"Keating, L., Randall, L., Stanton, R., McCormack, C., Lucid, M., Seaborn, T., Converse, S.J., Canessa, S., and Moehrenschlager, A., 2023, Using decision analysis to determine the feasibility of a conservation translocation: Decision Analysis, v. 20, no. 4, p. 295-310, https://doi.org/10.1287/deca.2023.0472.","productDescription":"16 p.","startPage":"295","endPage":"310","ipdsId":"IP-142737","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":443992,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/2434/1040192","text":"External Repository"},{"id":429880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keating, Laura","contributorId":338249,"corporation":false,"usgs":false,"family":"Keating","given":"Laura","email":"","affiliations":[{"id":81105,"text":"Wilder Institute/Calgary Zoo","active":true,"usgs":false}],"preferred":false,"id":903054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Randall, Lea","contributorId":338250,"corporation":false,"usgs":false,"family":"Randall","given":"Lea","email":"","affiliations":[{"id":81105,"text":"Wilder Institute/Calgary Zoo","active":true,"usgs":false}],"preferred":false,"id":903055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, Rebecca","contributorId":338251,"corporation":false,"usgs":false,"family":"Stanton","given":"Rebecca","email":"","affiliations":[{"id":81105,"text":"Wilder Institute/Calgary Zoo","active":true,"usgs":false}],"preferred":false,"id":903056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormack, Casey","contributorId":338252,"corporation":false,"usgs":false,"family":"McCormack","given":"Casey","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":903057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lucid, Michael","contributorId":338253,"corporation":false,"usgs":false,"family":"Lucid","given":"Michael","email":"","affiliations":[{"id":81108,"text":"Selkirk Wildlife Science, LLC","active":true,"usgs":false}],"preferred":false,"id":903058,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seaborn, Travis","contributorId":338254,"corporation":false,"usgs":false,"family":"Seaborn","given":"Travis","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903059,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":903060,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Canessa, Stefano","contributorId":149295,"corporation":false,"usgs":false,"family":"Canessa","given":"Stefano","email":"","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":903133,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moehrenschlager, Axel","contributorId":338100,"corporation":false,"usgs":false,"family":"Moehrenschlager","given":"Axel","affiliations":[{"id":56586,"text":"czs","active":true,"usgs":false}],"preferred":false,"id":903134,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70242810,"text":"70242810 - 2023 - Soil medium and watering frequency alter growth and allocation for Blue Diamond cholla (Cylindropuntia multigeniculata), a rare cactus of the northeast Mojave Desert, USA","interactions":[],"lastModifiedDate":"2023-04-19T11:34:57.506219","indexId":"70242810","displayToPublicDate":"2023-03-31T06:32:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7499,"text":"Native Plants Journal","active":true,"publicationSubtype":{"id":10}},"title":"Soil medium and watering frequency alter growth and allocation for Blue Diamond cholla (Cylindropuntia multigeniculata), a rare cactus of the northeast Mojave Desert, USA","docAbstract":"

Blue Diamond cholla (Cylindropuntia multigeniculata (Clokey) Blackb. [Cactaceae]) is a rare cactus of the Mojave Desert. We explored whether cultivation from joint cuttings is a viable method for supporting threatened populations. Terminal joints were collected from adult plants at the type locality and grown in a shade house: We tested whether 2 soil mixes that varied in the ratio of inorganic and organic components (50:50 compared to 85:15) and 2 watering frequencies (250 ml every 5 d compared to 500 ml every 10 d) promote root growth important to outplanting survival. Plants grown from joint cuttings in the 50:50 soil had greater shoot and root biomass, produced more joint segments, and had higher initial and final survivorship over the 5-mo study. Neither soil nor watering treatments shifted biomass allocation to roots as hypothesized, but frequent watering produced longer roots, which may benefit reintroduced plants by assisting root access to deep soil moisture. Despite their vigor during collection, freshly cut joints rapidly declined in condition, resulting in approximately 50% mortality during the first month of the study. Initial mortality was not explained by the identity, condition, or size of the maternal plant. Prior-year weather patterns and collection procedures may influence quality and durability of joint cuttings and require further study. While larger plants were produced from the 50:50 mix, and root length was increased by frequent watering, reintroduction of nursery-grown plants will indicate whether such treatments aid establishment in the dry habitat where this species occurs.

","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/npj.24.1.4","usgsCitation":"Scoles-Sciulla, S.J., Stosich, A., and DeFalco, L., 2023, Soil medium and watering frequency alter growth and allocation for Blue Diamond cholla (Cylindropuntia multigeniculata), a rare cactus of the northeast Mojave Desert, USA: Native Plants Journal, v. 24, no. 1, p. 4-17, https://doi.org/10.3368/npj.24.1.4.","productDescription":"14 p.","startPage":"4","endPage":"17","ipdsId":"IP-149550","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498864,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3368/npj.24.1.4","text":"Publisher Index Page"},{"id":415988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northeast Mojave Desert","volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Scoles-Sciulla, Sara J. 0000-0003-1693-5030 sscoles@usgs.gov","orcid":"https://orcid.org/0000-0003-1693-5030","contributorId":2614,"corporation":false,"usgs":true,"family":"Scoles-Sciulla","given":"Sara","email":"sscoles@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":869845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stosich, Alexander","contributorId":304238,"corporation":false,"usgs":false,"family":"Stosich","given":"Alexander","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":869846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeFalco, Lesley A. 0000-0002-7542-9261","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":208658,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":869847,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70242847,"text":"70242847 - 2023 - Ediacaran-Ordovician magmatism and REE mineralization in the Wet Mountains, Colorado, USA: Implications for failed continental rifting","interactions":[],"lastModifiedDate":"2023-04-20T12:03:48.647713","indexId":"70242847","displayToPublicDate":"2023-03-30T06:56:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Ediacaran-Ordovician magmatism and REE mineralization in the Wet Mountains, Colorado, USA: Implications for failed continental rifting","docAbstract":"

Structures associated with Ediacaran-Ordovician alkaline magmatism and the timing of rare earth element (REE) mineralization in the Wet Mountains, CO, were analyzed using field, geophysical, and U-Th-Pb isotope methods to interpret their tectonic setting in the context of previously proposed rift models. The Wet Mountains are known for thorium and REE mineralization associated with failed rift-related, Ediacaran-Ordovician alkaline intrusions and veins. Structural field data indicate that alkaline dikes and mineralized veins are controlled by a system of northwest-striking, high-angle faults and tension fractures formed in a 040°-directed extensional regime. Magnetic and surface expressions of Democrat Creek and McClure Mountain complexes show tectonic elongation toward ∼045°, consistent with NE-directed extension. Magnetic data also suggest the existence of a fourth, previously unrecognized mafic-ultramafic complex of inferred Cambrian age with a similar elongated orientation. Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) 208Pb/232Th analysis of low-uranium zircon from carbonatite dikes and in situ 206Pb/238U LA-ICP-MS analysis of monazite in mineralized dikes yielded 465 ± 18 Ma and 489 ± 33 Ma ages, respectively. These ages are consistent with the expected age based on slightly older, cross-cut syenite dikes and the hypothesized Ordovician end to failed rift-related magmatism. The Ediacaran-Ordovician age of alkaline magmatic rocks and the associated northeast-directed extension direction are similar to those of the along-strike, Ediacaran-Cambrian Southern Oklahoma Aulacogen. Therefore, the failed rift system in the Wet Mountains is interpreted to be a northwestern continuation of the Southern Oklahoma Aulacogen with carbonatite magmatism and thorium/REE mineralization representing late intrusive phases.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022TC007674","usgsCitation":"Magnin, B.P., Kuiper, Y., and Anderson, E., 2023, Ediacaran-Ordovician magmatism and REE mineralization in the Wet Mountains, Colorado, USA: Implications for failed continental rifting: Tectonics, v. 42, no. 4, e2022TC007674, 28 p., https://doi.org/10.1029/2022TC007674.","productDescription":"e2022TC007674, 28 p.","ipdsId":"IP-146947","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":444012,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022tc007674","text":"Publisher Index Page"},{"id":435394,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XJ7FMM","text":"USGS data release","linkHelpText":"Gravity data in the Wet Mountains area, southcentral Colorado, 2021 to 2022"},{"id":435393,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96YTJ5F","text":"USGS data release","linkHelpText":"Magnetic susceptibility measurements in the Wet Mountains, Colorado, 2021 to 2022"},{"id":435392,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PISI0X","text":"USGS data release","linkHelpText":"Airborne magnetic and radiometric survey of the Wet Mountains and surrounding region, Custer and Fremont Counties, south-central Colorado, 2021"},{"id":416049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.83697815705129,\n 38.78046120500633\n ],\n [\n -105.83697815705129,\n 37.59367717050884\n ],\n [\n -104.7497993335517,\n 37.59367717050884\n ],\n [\n -104.7497993335517,\n 38.78046120500633\n ],\n [\n -105.83697815705129,\n 38.78046120500633\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Magnin, Benjamin Patrick 0000-0001-9951-4404","orcid":"https://orcid.org/0000-0001-9951-4404","contributorId":300679,"corporation":false,"usgs":true,"family":"Magnin","given":"Benjamin","email":"","middleInitial":"Patrick","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":869981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuiper, Yvette 0000-0002-8506-8180","orcid":"https://orcid.org/0000-0002-8506-8180","contributorId":299649,"corporation":false,"usgs":false,"family":"Kuiper","given":"Yvette","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":869982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Eric D. 0000-0002-0138-6166","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":202072,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":869983,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247519,"text":"70247519 - 2023 - Land cover differentially affects abundance of common and rare birds","interactions":[],"lastModifiedDate":"2023-08-10T12:04:06.822719","indexId":"70247519","displayToPublicDate":"2023-03-28T07:03:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Land cover differentially affects abundance of common and rare birds","docAbstract":"

While rare species are vulnerable to global change, large declines in common species (i.e., those with large population sizes, large geographic distributions, and/or that are habitat generalists) also are of conservation concern. Understanding if and how commonness mediates species' responses to global change, including land cover change, can help guide conservation strategies. We explored avian population responses to land cover change along a gradient from common to rare species using avian data from the North American Breeding Bird Survey (BBS) and land cover data from the National Land Cover Database for the conterminous United States. Specifically, we used generalized linear mixed effects models to ask if species' commonness affected the relationship between land cover and counts, using the initial amount of and change in land cover surrounding each North American BBS route from 2001 to 2016. We quantified species' commonness as a continuous metric at the national scale using the logarithm (base 10) of each species' total count across all routes in the conterminous United States in 2001. For our focal 15-year period, we found that higher proportions of initial natural land cover favored (i.e., were correlated with higher) counts of rare but not common species. We also found that commonness mediated how change in human land cover, but not natural land cover, was associated with species' counts at the end of the study period. Increases in developed lands did not favor counts of any species. Increases in agriculture and declines in pasture favored counts of common but not rare species. Our findings show a signal of commonness in how species respond to a major dimension of global change. Evaluating how and why commonness mediates species' responses to land cover change can help managers design conservation portfolios that sustain the spectrum of common to rare species.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16700","usgsCitation":"Davis, K., Banko, P.C., and Pejchar, L., 2023, Land cover differentially affects abundance of common and rare birds: Global Change Biology, v. 29, no. 11, p. 2999-3009, https://doi.org/10.1111/gcb.16700.","productDescription":"11 p.","startPage":"2999","endPage":"3009","ipdsId":"IP-139930","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":444041,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.16700","text":"Publisher Index Page"},{"id":419697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Kristin P.","contributorId":175448,"corporation":false,"usgs":false,"family":"Davis","given":"Kristin P.","affiliations":[{"id":27570,"text":"Natural Resource Ecology Lab, Colorado State U, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":879974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":879975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pejchar, Liba","contributorId":225494,"corporation":false,"usgs":false,"family":"Pejchar","given":"Liba","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":879976,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70241883,"text":"70241883 - 2023 - Rock-to-metal ratios of the rare earth elements","interactions":[],"lastModifiedDate":"2023-04-12T14:33:04.197216","indexId":"70241883","displayToPublicDate":"2023-03-27T06:40:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13782,"text":"Journal of Cleaner Production","active":true,"publicationSubtype":{"id":10}},"title":"Rock-to-metal ratios of the rare earth elements","docAbstract":"

The relative quantities of ore mined and waste rock (i.e., overburden) removed to produce the rare earth elements—their rock-to-metal ratios—were calculated for 21 individual operations or regions covering nearly all mine production in 2018. The results indicate that the rock-to-metal ratios for the total rare earth elements ranged from a low of 1.6 × 101 to a high of 3.6 × 103, with operations in Brazil and Russia having the lowest ratios and ion-adsorption clays operations in China and Myanmar having the highest. For comparison, the global average rock-to-metal ratio for the total rare earth elements (9.8 × 102) fell between that of cobalt (8.6 × 102) and tungsten (1.1 × 103). Driven by their relative abundance in the ore and unit prices that were used in the economic allocation of the environmental burdens, the global rock-to-metal ratio for individual rare earth elements was lowest for cerium (2.3 × 101) and lanthanum (7.7 × 101) and highest for dysprosium (1.7 × 104), terbium (3.7 × 104), and lutetium (6.4 × 104). Like the rock-to-metal ratios for the total rare earth elements, rock-to-metal ratios for individual rare earth elements varied by roughly two orders of magnitude among the various operations examined. An alternative perspective of only accounting for the overburden that is physically removed in ion-adsorption clays in-situ operations yielded global rock-to-metal ratios that were an order of magnitude lower or less for many of the rare earth elements.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jclepro.2023.136958","usgsCitation":"Nassar, N.T., Lederer, G.W., Padilla, A.J., Gambogi, J., Cordier, D.J., Brainard, J.L., Lessard, J.D., and Charab, R., 2023, Rock-to-metal ratios of the rare earth elements: Journal of Cleaner Production, v. 405, 136958, 9 p., https://doi.org/10.1016/j.jclepro.2023.136958.","productDescription":"136958, 9 p.","ipdsId":"IP-147958","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":444070,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jclepro.2023.136958","text":"Publisher Index Page"},{"id":414950,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"405","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":868061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lederer, Graham W. 0000-0002-9505-9923","orcid":"https://orcid.org/0000-0002-9505-9923","contributorId":202407,"corporation":false,"usgs":true,"family":"Lederer","given":"Graham","email":"","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":868062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Padilla, Abraham J. 0000-0002-8371-533X","orcid":"https://orcid.org/0000-0002-8371-533X","contributorId":290608,"corporation":false,"usgs":true,"family":"Padilla","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":868063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gambogi, Joseph 0000-0002-5719-2280 jgambogi@usgs.gov","orcid":"https://orcid.org/0000-0002-5719-2280","contributorId":4424,"corporation":false,"usgs":true,"family":"Gambogi","given":"Joseph","email":"jgambogi@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":868064,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cordier, Daniel James 0000-0001-7783-1863","orcid":"https://orcid.org/0000-0001-7783-1863","contributorId":303773,"corporation":false,"usgs":true,"family":"Cordier","given":"Daniel","email":"","middleInitial":"James","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":868065,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":868066,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lessard, Joseph D.","contributorId":290609,"corporation":false,"usgs":false,"family":"Lessard","given":"Joseph","email":"","middleInitial":"D.","affiliations":[{"id":62455,"text":"Apple Inc","active":true,"usgs":false}],"preferred":false,"id":868067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Charab, Ryan","contributorId":303774,"corporation":false,"usgs":false,"family":"Charab","given":"Ryan","email":"","affiliations":[{"id":62455,"text":"Apple Inc","active":true,"usgs":false}],"preferred":false,"id":868068,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70249759,"text":"70249759 - 2023 - A plea for Red Wolf conservation throughout Its recent distribution","interactions":[],"lastModifiedDate":"2023-10-26T12:23:17.042485","indexId":"70249759","displayToPublicDate":"2023-03-23T07:22:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17080,"text":"Southesatern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"A plea for Red Wolf conservation throughout Its recent distribution","docAbstract":"

Canis rufus (Red Wolf) is one of the most endangered mammals in North America. However, genes of the Red Wolf persist across much of the species' original range, carried predominantly within C. latrans (Coyote) populations. It is now known that such genes are distributed from extreme north-central Texas through most of eastern Texas to southern Louisiana. Publicizing of the most recent findings of Red Wolf genes in Coyotes of southern Louisiana emphasized that area for intensive conservation efforts. Such efforts could be applied throughout the entire known distribution of those rare genes, not just in the small area of southern Louisiana recently publicized. Because conservation efforts might be hindered by local conditions and circumstances, expanding geographic options for their application could make the difference in their success.

","language":"English","publisher":"BioOne","doi":"10.1656/058.022.0111","usgsCitation":"Mech, L.D., and Nowak, R., 2023, A plea for Red Wolf conservation throughout Its recent distribution: Southesatern Naturalist, v. 22, no. 1, p. N23-N27, https://doi.org/10.1656/058.022.0111.","productDescription":"5 p.","startPage":"N23","endPage":"N27","ipdsId":"IP-142919","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":422136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":886939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nowak, Ronald M.","contributorId":331213,"corporation":false,"usgs":false,"family":"Nowak","given":"Ronald M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":886940,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70242003,"text":"70242003 - 2023 - Sex-biased infections scale to population impacts for an emerging wildlife disease","interactions":[],"lastModifiedDate":"2023-04-04T12:24:59.519962","indexId":"70242003","displayToPublicDate":"2023-03-22T07:21:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Sex-biased infections scale to population impacts for an emerging wildlife disease","docAbstract":"

Demographic factors are fundamental in shaping infectious disease dynamics. Aspects of populations that create structure, like age and sex, can affect patterns of transmission, infection intensity and population outcomes. However, studies rarely link these processes from individual to population-scale effects. Moreover, the mechanisms underlying demographic differences in disease are frequently unclear. Here, we explore sex-biased infections for a multi-host fungal disease of bats, white-nose syndrome, and link disease-associated mortality between sexes, the distortion of sex ratios and the potential mechanisms underlying sex differences in infection. We collected data on host traits, infection intensity and survival of five bat species at 42 sites across seven years. We found females were more infected than males for all five species. Females also had lower apparent survival over winter and accounted for a smaller proportion of populations over time. Notably, female-biased infections were evident by early hibernation and likely driven by sex-based differences in autumn mating behaviour. Male bats were more active during autumn which likely reduced replication of the cool-growing fungus. Higher disease impacts in female bats may have cascading effects on bat populations beyond the hibernation season by limiting recruitment and increasing the risk of Allee effects.

","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2023.0040","usgsCitation":"Kailing, M.J., Hoyt, J.R., White, J.P., Kaarakka, H.M., Redell, J.A., Leon, A.E., Rocke, T.E., DePue, J.E., Scullon, W.H., Parise, K.L., Foster, J.T., Kilpatrick, A.M., and Langwig, K.E., 2023, Sex-biased infections scale to population impacts for an emerging wildlife disease: Proceedings of the Royal Society B: Biological Sciences, v. 290, no. 1995, 20230040, 10 p., https://doi.org/10.1098/rspb.2023.0040.","productDescription":"20230040, 10 p.","ipdsId":"IP-143177","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":444125,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2023.0040","text":"Publisher Index Page"},{"id":415159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"290","issue":"1995","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Kailing, Macy J.","contributorId":303905,"corporation":false,"usgs":false,"family":"Kailing","given":"Macy","email":"","middleInitial":"J.","affiliations":[{"id":65923,"text":"Virginia Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":868493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoyt, Joseph R.","contributorId":201314,"corporation":false,"usgs":false,"family":"Hoyt","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":868494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, J. Paul","contributorId":118346,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaarakka, Heather M.","contributorId":120892,"corporation":false,"usgs":false,"family":"Kaarakka","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Redell, Jennifer A.","contributorId":117266,"corporation":false,"usgs":false,"family":"Redell","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leon, Ariel Elizabeth 0000-0001-9246-4619","orcid":"https://orcid.org/0000-0001-9246-4619","contributorId":247573,"corporation":false,"usgs":true,"family":"Leon","given":"Ariel","email":"","middleInitial":"Elizabeth","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":868498,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":868499,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DePue, John E.","contributorId":200305,"corporation":false,"usgs":false,"family":"DePue","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":868500,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scullon, William H.","contributorId":303906,"corporation":false,"usgs":false,"family":"Scullon","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868501,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parise, Katy L.","contributorId":201310,"corporation":false,"usgs":false,"family":"Parise","given":"Katy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":868502,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Foster, Jeffrey T.","contributorId":177905,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":868503,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kilpatrick, A. Marm","contributorId":139721,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"A.","email":"","middleInitial":"Marm","affiliations":[{"id":12892,"text":"Dept of Ecology & Evolutionary Biology, Univ of California","active":true,"usgs":false}],"preferred":false,"id":868504,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Langwig, Kate E.","contributorId":127717,"corporation":false,"usgs":false,"family":"Langwig","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":868505,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70240675,"text":"70240675 - 2023 - Exploring effects of vessels on walrus behaviors using telemetry, automatic identification system data and matching","interactions":[],"lastModifiedDate":"2024-09-18T16:08:26.706094","indexId":"70240675","displayToPublicDate":"2023-03-13T06:41:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Exploring effects of vessels on walrus behaviors using telemetry, automatic identification system data and matching","docAbstract":"

Arctic marine mammals have had little exposure to vessel traffic and potential associated disturbance, but sea ice loss has increased accessibility of Arctic waters to vessels. Vessel disturbance could influence marine mammal population dynamics by altering behavioral activity budgets that affect energy balance, which in turn can affect birth and death rates. As an initial step in studying these linkages, we conducted the first comprehensive analysis to evaluate the effects of vessel exposure on Pacific walrus (Odobenus rosmarus divergens) behaviors. We obtained >120,000 h of location and behavior (foraging, in-water not foraging, and hauled out) data from 218 satellite-tagged walruses and linked them to vessel locations from the marine automatic identification system (AIS). This yielded 206 vessel-exposed walrus telemetry hours for comparison to unexposed hours, which we used to assess if vessel exposure altered walrus behavior. We developed a filter to account for misclassification of vessel exposure of telemetered walruses. Then we tested for an effect of vessel exposure on walrus behaviors using a combination of exact and propensity score-based matching to account for confounding covariates, and we conducted statistical power analyses. We did not detect an effect of vessel exposure on walrus behaviors even when statistical power was high (i.e., for foraging walruses), which may have been due to the sample size-driven need to define vessel presence within a larger than desired distance (15-km measured radius) around a walrus. Although this study did not determine at what distance vessel exposure affects walrus behaviors, it provided an upper bound on the distance at which the vessels encountered may disturb foraging walruses. When more situation-specific information is lacking, this distance could be used as a conservative buffer to maintain between vessels and areas of high use by foraging walruses. Studies on behavioral consequences of closer proximities between walruses and vessels are needed, and our assessments of misclassification rates and statistical power can be used for future studies. We demonstrated that analytical approaches such as matching, which are rarely used in wildlife studies, are particularly useful for testing hypotheses with observational data.

","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4433","usgsCitation":"Taylor, R.L., Jay, C.V., Beatty, W., Fischbach, A.S., Quakenbush, L.T., and Crawford, J.A., 2023, Exploring effects of vessels on walrus behaviors using telemetry, automatic identification system data and matching: Ecosphere, v. 14, no. 3, e4433, 16 p., https://doi.org/10.1002/ecs2.4433.","productDescription":"e4433, 16 p.","ipdsId":"IP-122838","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":444233,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4433","text":"Publisher Index Page"},{"id":435414,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IO8AZJ","text":"USGS data release","linkHelpText":"Walrus Haulout and In-water Activity Levels Relative to Vessel Interactions in the Chukchi Sea, 2012-2015"},{"id":413040,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","otherGeospatial":"Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -170.32245819085716,\n 66.05513807898694\n ],\n [\n -169.7201609109013,\n 65.81337853498471\n ],\n [\n -163.44646744670234,\n 67.26413622283681\n ],\n [\n -163.48928051808477,\n 67.77761301095038\n ],\n [\n -165.89517336815703,\n 68.50009214376516\n ],\n [\n -165.8497260252095,\n 68.66729130495727\n ],\n [\n -163.80598521715572,\n 68.81337251177467\n ],\n [\n -162.7412289106771,\n 69.22689570748591\n ],\n [\n -162.42602442536432,\n 69.65754636971394\n ],\n [\n -161.76725890958286,\n 69.98451068064082\n ],\n [\n -159.03175166715397,\n 70.56710759229969\n ],\n [\n -156.4162777380868,\n 70.98318711582823\n 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]\n}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":866281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":866282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":288790,"corporation":false,"usgs":false,"family":"Beatty","given":"William S.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":866283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":866284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quakenbush, Lori T.","contributorId":47262,"corporation":false,"usgs":true,"family":"Quakenbush","given":"Lori","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":866285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crawford, Justin A.","contributorId":214225,"corporation":false,"usgs":false,"family":"Crawford","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":866286,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70241037,"text":"70241037 - 2023 - Symbiotic nitrogen fixation does not stimulate soil phosphatase activity under temperate and tropical trees","interactions":[],"lastModifiedDate":"2023-03-31T15:20:23.406346","indexId":"70241037","displayToPublicDate":"2023-03-06T07:06:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Symbiotic nitrogen fixation does not stimulate soil phosphatase activity under temperate and tropical trees","docAbstract":"

Symbiotic nitrogen (N)-fixing plants can enrich ecosystems with N, which can alter the cycling and demand for other nutrients. Researchers have hypothesized that fixed N could be used by plants and soil microbes to produce extracellular phosphatase enzymes, which release P from organic matter. Consistent with this speculation, the presence of N-fixing plants is often associated with high phosphatase activity, either in the soil or on root surfaces, although other studies have not found this association, and the connection between phosphatase and rates of N fixation—the mechanistic part of the argument—is tenuous. Here, we measured soil phosphatase activity under N-fixing trees and non-fixing trees transplanted and grown in tropical and temperate sites in the USA: two sites in Hawaii, and one each in New York and Oregon. This provides a rare example of phosphatase activity measured in a multi-site field experiment with rigorously quantified rates of N fixation. We found no difference in soil phosphatase activity under N-fixing vs. non-fixing trees nor across rates of N fixation, though we note that no sites were P limited and only one was N limited. Our results add to the literature showing no connection between N fixation rates and phosphatase activity.

","language":"English","publisher":"Springer","doi":"10.1007/s00442-023-05339-4","usgsCitation":"Jager, E., Quebbeman, A., Wolf, A.A., Perakis, S.S., Funk, J.L., and Menge, D., 2023, Symbiotic nitrogen fixation does not stimulate soil phosphatase activity under temperate and tropical trees: Oecologia, v. 201, p. 827-840, https://doi.org/10.1007/s00442-023-05339-4.","productDescription":"14 p.","startPage":"827","endPage":"840","ipdsId":"IP-142220","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":502663,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":413761,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"201","noUsgsAuthors":false,"publicationDate":"2023-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Jager, Emily","contributorId":302904,"corporation":false,"usgs":false,"family":"Jager","given":"Emily","email":"","affiliations":[{"id":65577,"text":"Columbia Univ","active":true,"usgs":false}],"preferred":false,"id":865788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quebbeman, Andrew","contributorId":302905,"corporation":false,"usgs":false,"family":"Quebbeman","given":"Andrew","email":"","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":865789,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolf, Amelia A.","contributorId":190685,"corporation":false,"usgs":false,"family":"Wolf","given":"Amelia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":865790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":865791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, Jennifer L.","contributorId":260668,"corporation":false,"usgs":false,"family":"Funk","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":865792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Menge, Duncan N.L.","contributorId":302906,"corporation":false,"usgs":false,"family":"Menge","given":"Duncan N.L.","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":865793,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70241083,"text":"70241083 - 2023 - Sandstone-hosted uranium deposits of the Colorado Plateau, USA","interactions":[],"lastModifiedDate":"2023-03-09T15:22:46.63418","indexId":"70241083","displayToPublicDate":"2023-03-05T09:18:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Sandstone-hosted uranium deposits of the Colorado Plateau, USA","docAbstract":"

More than 4,000 sandstone-hosted uranium occurrences host over 1.2 billion pounds of mined and in situ U3O8 throughout the Colorado Plateau. Most of the resources are in two distinct mineral systems with deposits hosted in the Triassic Chinle and Jurassic Morrison Formations. In the Chinle mineral system, base metal sulfides typically accompany mineralization. The Morrison mineral system is characterized by V/U ratios up to 20. The uranium source was likely volcanic ash preserved as bentonitic mudstones in the Brushy Basin Member of the Morrison Formation, and lithic volcanic clasts, ash shards, and bentonitic clay in the lower part of the Chinle Formation. Vanadium originated from two possible sources: iron–titanium oxides that are extensively altered in bleached rock near deposits or from similar minerals in variably bleached red beds interbedded with and beneath the Morrison. In Chinle-hosted deposits, in addition to volcanic ash, a contributing source of both vanadium and uranium is proposed here for the first time to be underlying red beds in the Moenkopi and Cutler Formations that have undergone a cycle of reddening-bleaching-reoxidation. Transport in both systems was likely in groundwater through the more permeable sandstones and conglomerate units. The association of uranium minerals with carbonate and more rarely apatite, suggests that transport of uranium was as a carbonate or phosphate complex. The first comprehensive examination of paleoclimate, paleotopography, and subsurface structure of aquifers coupled with analysis of the geochronology of deposits suggests that that there were distinct pulses of uranium mineralization/redistribution during the period from about 259 Ma to 12 Ma when oxidized mineralizing fluids were intermittently rejuvenated in the Plateau in response to changes in tectonic regime and climate. Multiple lines of evidence indicate that deposits formed at ambient temperatures of about 25 °C to no greater than about 140 °C. In both systems, deposits formed where groundwater flow slowed and was subject to evaporative concentration. Stagnant conditions allowed for prolonged interaction of U- and V-enriched groundwater with ferrous iron-bearing reductants, such as illite and iron–titanium oxides, and more rarely organic material such as plant debris. Paragenetically late in the sequence, reducing fluids introduced additional organic matter to some deposits. Reducing fluids and introduced organic matter (now amorphous and altered by radiolysis) may originate from regional petroleum systems where peak oil and gas generation was from ∼ 82 to ∼ 5 Ma. Our novel analysis indicates that these reducing fluids bleached rock and protected affected deposits from remobilization during exposure and weathering that followed uplift of the Plateau (∼80 to 40 Ma).

","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2023.105353","usgsCitation":"Hall, S.M., Van Gosen, B.S., and Zielinski, R.A., 2023, Sandstone-hosted uranium deposits of the Colorado Plateau, USA: Ore Geology Reviews, v. 155, 105353, 39 p., https://doi.org/10.1016/j.oregeorev.2023.105353.","productDescription":"105353, 39 p.","ipdsId":"IP-144225","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":444288,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.oregeorev.2023.105353","text":"Publisher Index Page"},{"id":413910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Nevada, New Mexico, Utah","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.38758014302569,\n 36.37374218849541\n ],\n [\n -110.86136616701783,\n 33.44612985784673\n ],\n [\n -108.60999805357987,\n 33.12799232363494\n ],\n [\n -106.76457950194857,\n 35.188621252945836\n ],\n [\n -106.23603458062884,\n 36.207350720051465\n ],\n [\n -106.4452489843144,\n 37.02964962080101\n ],\n [\n -107.90400181246243,\n 38.27334485012568\n ],\n [\n -107.73249538404234,\n 39.83440439611374\n ],\n [\n -107.35347848557593,\n 40.63177179900808\n ],\n [\n -111.44047410393146,\n 40.54853202540002\n ],\n [\n -112.77503905211425,\n 38.858889541104304\n ],\n [\n -113.34398079268153,\n 37.74568602112339\n ],\n [\n -115.31695817751428,\n 37.35592303100273\n ],\n [\n -115.38758014302569,\n 36.37374218849541\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"155","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Susan M. 0000-0002-0931-8694","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":302940,"corporation":false,"usgs":true,"family":"Hall","given":"Susan","email":"","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","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":865980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zielinski, Robert A. 0000-0002-4047-5129 rzielinski@usgs.gov","orcid":"https://orcid.org/0000-0002-4047-5129","contributorId":1593,"corporation":false,"usgs":true,"family":"Zielinski","given":"Robert","email":"rzielinski@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":865981,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248364,"text":"70248364 - 2023 - Unrecorded tundra fires of the Arctic Slope, Alaska USA","interactions":[],"lastModifiedDate":"2023-09-08T12:15:14.635728","indexId":"70248364","displayToPublicDate":"2023-03-05T07:11:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5678,"text":"Fire","active":true,"publicationSubtype":{"id":10}},"title":"Unrecorded tundra fires of the Arctic Slope, Alaska USA","docAbstract":"
Few fires are known to have burned the tundra of the Arctic Slope north of the Brooks Range in Alaska, USA. A total of 90 fires between 1969 and 2022 are known. Because fire has been rare, old burns can be detected by the traces of thermokarst and distinct vegetation they leave in otherwise uniform tundra, which are visible in aerial photograph archives. Several prehistoric tundra burns have been found in this way. Detection of tundra fires in this sparsely populated and remote area has been historically inconsistent and opportunistic, relying on reports by aircraft pilots. Fire reports have been logged into an administrative database which, out of necessity, has been used to scientifically evaluate changes in the fire regime. To improve the consistency of the record, we completed a systematic search of Landsat Collection 2 for the Brooks Range Foothills ecoregion over the period 1972–2022. We found 57 unrecorded tundra burns, about 41% of the total, which now numbers 138. Only 15% and 33% of all fires appear in MODIS and VIIRS satellite-borne thermal anomaly products, respectively. The fire frequency in the first 37 years of the record is 0.89 y−1 for natural ignitions that spread ≥10 ha. Frequency in the last 13 years is 2.5 y−1, indicating a nearly three-fold increase in fire frequency.

","language":"English","publisher":"MDPI","doi":"10.3390/fire6030101","usgsCitation":"Miller, E.A., Jones, B., Baughman, C., Jandt, R.R., Jenkins, J.L., and Yokel, D.A., 2023, Unrecorded tundra fires of the Arctic Slope, Alaska USA: Fire, v. 6, no. 3, 101, 15 p., https://doi.org/10.3390/fire6030101.","productDescription":"101, 15 p.","ipdsId":"IP-149180","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":444291,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fire6030101","text":"Publisher Index Page"},{"id":420656,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -160.4484880553961,\n 71.7899258131992\n ],\n [\n -160.4484880553961,\n 69.97876537974165\n ],\n [\n -153.1566947447127,\n 69.97876537974165\n ],\n [\n -153.1566947447127,\n 71.7899258131992\n ],\n [\n -160.4484880553961,\n 71.7899258131992\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Eric A.","contributorId":329603,"corporation":false,"usgs":false,"family":"Miller","given":"Eric","email":"","middleInitial":"A.","affiliations":[{"id":78670,"text":"Bureau of Land Management - Alaska Fire Service","active":true,"usgs":false}],"preferred":false,"id":882694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":208625,"corporation":false,"usgs":false,"family":"Jones","given":"Benjamin M.","affiliations":[{"id":37848,"text":"Water and Environmental Research Center, University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":true,"id":882695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":882696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jandt, Randi R.","contributorId":329604,"corporation":false,"usgs":false,"family":"Jandt","given":"Randi","email":"","middleInitial":"R.","affiliations":[{"id":78672,"text":"University of Alaska Fairbanks - Alaska Fire Science Consortium","active":true,"usgs":false}],"preferred":false,"id":882697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Jennifer L.","contributorId":329605,"corporation":false,"usgs":false,"family":"Jenkins","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":78670,"text":"Bureau of Land Management - Alaska Fire Service","active":true,"usgs":false}],"preferred":false,"id":882698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yokel, David A.","contributorId":329606,"corporation":false,"usgs":false,"family":"Yokel","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":78673,"text":"Bureau of Land Management Arctic District Office","active":true,"usgs":false}],"preferred":false,"id":882699,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70241187,"text":"70241187 - 2023 - A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management","interactions":[],"lastModifiedDate":"2023-03-14T12:19:36.295822","indexId":"70241187","displayToPublicDate":"2023-03-03T07:18:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13457,"text":"The Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management","docAbstract":"

Ecological condition continues to decline in arid and semi-arid river basins globally due to hydrological over-abstraction combined with changing climatic conditions. Whilst provision of water for the environment has been a primary approach to alleviate ecological decline, how to accurately monitor changes in riverine trees at fine spatial and temporal scales, remains a substantial challenge. This is further complicated by constantly changing water availability across expansive river basins with varying climatic zones. Within, we combine rare, fine-scale, high frequency temporal in-situ field collected data with machine learning and remote sensing, to provide a robust model that enables broadscale monitoring of physiological tree water stress response to environmental changes via actual evapotranspiration (ET). Physiological variation of Eucalyptus camaldulensis (River Red Gum) and E. largiflorens (Black Box) trees across 10 study locations in the southern Murray-Darling Basin, Australia, was captured instantaneously using sap flow sensors, substantially reducing tree response lags encountered by monitoring visual canopy changes. Actual ET measurement of both species was used to bias correct a national spatial ET product where a Random Forest model was trained using continuous timeseries of in-situ data of up to four years. Precise monthly AMLETT (Australia-wide Machine Learning ET for Trees) ET outputs in 30 m pixel resolution from 2012 to 2021, were derived by incorporating additional remote sensing layers such as soil moisture, land surface temperature, radiation and EVI and NDVI in the Random Forest model. Landsat and Sentinal-2 correlation results between in-situ ET and AMLETT ET returned R2 of 0.94 (RMSE 6.63 mm period−1) and 0.92 (RMSE 6.89 mm period−1), respectively. In comparison, correlation between in-situ ET and a national ET product returned R2 of 0.44 (RMSE 34.08 mm period−1) highlighting the need for bias correction to generate accurate absolute ET values. The AMLETT method presented here, enhances environmental management in river basins worldwide. Such robust broadscale monitoring can inform water accounting and importantly, assist decisions on where to prioritize water for the environment to restore and protect key ecological assets and preserve floodplain and riparian ecological function.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.117393","usgsCitation":"Doody, T.M., Gao, S., Vervoot, W., Pritchard, J., Davies, M., Nolan, M., and Nagler, P.L., 2023, A river basin spatial model to quantitively advance understanding of riverine tree response dynamics to water availability and hydrological management: The Journal of Environmental Management, v. 332, 117393, 14 p., https://doi.org/10.1016/j.jenvman.2023.117393.","productDescription":"117393, 14 p.","ipdsId":"IP-144919","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":444303,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.117393","text":"Publisher Index Page"},{"id":414089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 140.07757319376452,\n -34.95139605233576\n ],\n [\n 144.51416562293036,\n -34.95139605233576\n ],\n [\n 144.51416562293036,\n -32.46697218892208\n ],\n [\n 140.07757319376452,\n -32.46697218892208\n ],\n [\n 140.07757319376452,\n -34.95139605233576\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"332","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Doody, Tanya M.","contributorId":138691,"corporation":false,"usgs":false,"family":"Doody","given":"Tanya","email":"","middleInitial":"M.","affiliations":[{"id":12494,"text":"CSIRO Land and Water, Australia","active":true,"usgs":false}],"preferred":false,"id":866383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gao, Sicong","contributorId":303040,"corporation":false,"usgs":false,"family":"Gao","given":"Sicong","email":"","affiliations":[{"id":65623,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia; University of Canberra, Canberra, Australian Capital Territory, Australia","active":true,"usgs":false}],"preferred":false,"id":866384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vervoot, Willem","contributorId":303041,"corporation":false,"usgs":false,"family":"Vervoot","given":"Willem","email":"","affiliations":[{"id":65624,"text":"School of Life and Environmental Sciences, The University of Sydney, Sydney, Australia","active":true,"usgs":false}],"preferred":false,"id":866385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pritchard, Jodie","contributorId":303042,"corporation":false,"usgs":false,"family":"Pritchard","given":"Jodie","email":"","affiliations":[{"id":65625,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia","active":true,"usgs":false}],"preferred":false,"id":866386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davies, Michah","contributorId":303043,"corporation":false,"usgs":false,"family":"Davies","given":"Michah","email":"","affiliations":[{"id":65627,"text":"CSIRO, Land and Water, Canberra, Australian Capital Territory, Australia","active":true,"usgs":false}],"preferred":false,"id":866387,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nolan, Martin","contributorId":303044,"corporation":false,"usgs":false,"family":"Nolan","given":"Martin","email":"","affiliations":[{"id":65625,"text":"CSIRO, Land and Water, Waite Campus, Adelaide, South Australia, Australia","active":true,"usgs":false}],"preferred":false,"id":866388,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":866389,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70262037,"text":"70262037 - 2023 - A big data–model integration approach for predicting epizootics and population recovery in a keystone species","interactions":[],"lastModifiedDate":"2025-01-10T14:56:44.15352","indexId":"70262037","displayToPublicDate":"2023-02-27T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A big data–model integration approach for predicting epizootics and population recovery in a keystone species","docAbstract":"

Infectious diseases pose a significant threat to global health and biodiversity. Yet, predicting the spatiotemporal dynamics of wildlife epizootics remains challenging. Disease outbreaks result from complex nonlinear interactions among a large collection of variables that rarely adhere to the assumptions of parametric regression modeling. We adopted a nonparametric machine learning approach to model wildlife epizootics and population recovery, using the disease system of colonial black-tailed prairie dogs (BTPD, Cynomys ludovicianus) and sylvatic plague as an example. We synthesized colony data between 2001 and 2020 from eight USDA Forest Service National Grasslands across the range of BTPDs in central North America. We then modeled extinctions due to plague and colony recovery of BTPDs in relation to complex interactions among climate, topoedaphic variables, colony characteristics, and disease history. Extinctions due to plague occurred more frequently when BTPD colonies were spatially clustered, in closer proximity to colonies decimated by plague during the previous year, following cooler than average temperatures the previous summer, and when wetter winter/springs were preceded by drier summers/falls. Rigorous cross-validations and spatial predictions indicated that our final models predicted plague outbreaks and colony recovery in BTPD with high accuracy (e.g., AUC generally >0.80). Thus, these spatially explicit models can reliably predict the spatial and temporal dynamics of wildlife epizootics and subsequent population recovery in a highly complex host–pathogen system. Our models can be used to support strategic management planning (e.g., plague mitigation) to optimize benefits of this keystone species to associated wildlife communities and ecosystem functioning. This optimization can reduce conflicts among different landowners and resource managers, as well as economic losses to the ranching industry. More broadly, our big data–model integration approach provides a general framework for spatially explicit forecasting of disease-induced population fluctuations for use in natural resource management decision-making.

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